CN111506633A - Expense allocation method, device, equipment, system and computer readable storage medium - Google Patents

Abstract

The present invention relates to the technical field of financial technology, and discloses a cost allocation method, device, device, system and computer-readable storage medium. The method includes: acquiring communication service data and a communication service identifier when distributing a communication service, and generating a communication service distribution instruction based on the communication service data and the communication service identifier; sending the communication service distribution instruction to a third party, and generating a corresponding Issue data, so that the third party can issue the communication service based on the instruction, and generate the corresponding return data; obtain the first statistical table obtained by the big data platform based on the statistics of the sent data and return data, and obtain the third party The second statistical table sent; reconciliation processing is performed based on the first and second statistical tables; when the reconciliation is successful, the first total billing cost of the communication service within the preset time period is obtained according to the second statistical table, and based on the first statistical table The total cost of the bill is cost-shared. The present invention realizes accurate and efficient apportionment of communication costs when reaching users.

Description

Cost allocation method, apparatus, device, system, and computer-readable storage medium

technical field

The present invention relates to the technical field of data processing in financial technology (Fintech), and in particular, to a cost allocation method, apparatus, device, system and computer-readable storage medium.

Background technique

With the development of computer technology, more and more technologies are applied in the financial field, and the traditional financial industry is gradually transforming into financial technology (Fintech). requirements.

Reaching users with information is an indispensable part of the business operation process. Among them, there are various ways to reach users, including phone calls, text messages, emails, and App message pushes. Existing information access, because enterprises usually perform different types of communication services for different business scenarios, and the collection of communication service fees depends on the success of communication, the rules for charging fees are relatively complex, which makes the allocation of fees. more complicated.

For example, take SMS as an example of the contact method. In order to ensure the stability of SMS delivery, enterprises usually connect with multiple SMS channel parties to deliver SMS messages. Different types of text messages. Since the charging standards of each channel party for various types of short messages under different business scenarios are different, and the statistics on the successful delivery of short messages also depend on the successful delivery data fed back by each channel party, it can be seen that the process of statistics and calculation of the data is very complicated and difficult. cumbersome.

At present, the statistical calculation is usually performed manually by staff, which is inefficient and prone to errors. Moreover, due to inconsistent rules, it also brings inconvenience to the accurate allocation of expenses.

SUMMARY OF THE INVENTION

The main purpose of the present invention is to provide a cost allocation method, apparatus, device, system and computer-readable storage medium, aiming at realizing accurate allocation and efficient allocation of communication costs when reaching users.

In order to achieve the above object, the present invention provides a cost allocation method, the cost allocation method includes:

When distributing a communication service, acquiring communication service data and a communication service identifier, and generating a communication service distribution instruction based on the communication service data and the communication service identifier;

sending the communication service issuance instruction to a third party, and generating corresponding issuance data, so that the third party issues the communication service based on the communication service issuance instruction, and generates corresponding packet return data;

Obtain the first statistical table of the communication service within the preset time period obtained by the big data platform based on the statistics of the sent data and the packet return data, and obtain the second statistical table of the communication service within the preset time period sent by the third party. statistical table;

performing reconciliation processing based on the first statistical table and the second statistical table;

When the reconciliation is successful, the total first billing fee of the communication service within the preset time period is obtained according to the second statistical table, and the fee is allocated based on the first total billing fee.

In addition, in order to achieve the above object, the present invention also provides a cost apportionment device, the cost apportionment device includes:

a first obtaining module, configured to obtain communication service data and a communication service identifier when delivering a communication service, and generate a communication service delivery instruction based on the communication service data and the communication service identifier;

A generating module, configured to send the communication service issuance instruction to a third party, and generate corresponding issuance data, so that the third party issues the communication service based on the communication service issuance instruction, and generates corresponding issuance data. return packet data;

The second obtaining module is configured to obtain the first statistical table of the communication service within the preset time period obtained by the big data platform based on the statistics of the sent data and the packet return data, and obtain the preset time sent by the third party Second statistical table of intra-segment communication services;

a reconciliation module, configured to perform reconciliation processing based on the first statistical table and the second statistical table;

The cost allocation module is configured to acquire the total first billing cost of the communication service within the preset time period according to the second statistical table when the reconciliation is successful, and perform cost allocation based on the first total billing cost.

In addition, in order to achieve the above object, the present invention also provides a cost apportionment device, the cost apportionment device includes: a memory, a processor, and a cost apportionment program stored on the memory and running on the processor, so that When the fee sharing program is executed by the processor, the steps of the fee sharing method as described above are implemented.

In addition, in order to achieve the above object, the present invention also provides a cost allocation system, the cost allocation system includes: a cost allocation device, a big data platform and a third party; wherein,

The cost sharing device is the cost sharing device as described above;

The big data platform is used to obtain the delivery data of the communication service from the expense sharing device through the scheduling system at regular intervals, and obtain the packet return data of the communication service from the distributed message system;

Synchronizing the delivery data to the corresponding partition of the delivery table of the first database according to the delivery date, and synchronizing the package return data to the corresponding partition of the package return table of the first database according to the return date;

Based on the delivery table and the packet return table obtained by synchronization, associate the packet return data with the delivery data, and obtain an intermediate table according to the association result;

Counting data information of various types of communication services of each third party within a preset time period according to the intermediate table, to obtain a first statistical table;

the third party, configured to send the packet return data to the distributed message system;

It is also used for receiving the delivered data sent by the expense apportioning device, and obtaining a second statistical table according to the statistics of the delivered data.

In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium, on which a cost allocation program is stored, and when the cost allocation program is executed by a processor, the above-mentioned cost allocation is realized steps of the method.

The present invention provides a method, device, equipment, system and computer-readable storage medium for allocating expenses. When distributing a communication service, the communication service data and the communication service identification are obtained, and the communication service issuance is generated based on the communication service data and the communication service identification. instruction; send the communication service issuance instruction to a third party, and generate corresponding issuance data, so that the third party issues the communication service based on the communication service issuance instruction, and generates corresponding packet return data. Then, obtain a first statistical table of communication services within a preset time period obtained by the big data platform based on statistics of the sent data and packet return data, and obtain a second statistical table of communication services within a preset time period sent by a third party; Perform reconciliation processing between the first statistical table and the second statistical table; when the reconciliation is successful, obtain the total first billing cost of the communication service within the preset time period according to the second statistical table, and perform cost allocation based on the first total billing cost . In the present invention, the unique communication service identifier is bound to the communication service data, the service is sent and returned, and the corresponding sent data and return data are obtained, and then based on the communication service identifier The data and the packet return data are correlated and counted, so that the tracking and statistics of each communication service data can be realized, and the efficiency and accuracy of the data statistics can be ensured. Then, the first statistical table obtained by the big data platform is reconciled with the second statistical table obtained by the third-party statistics, and the cost can be apportioned only when the reconciliation is successful, so as to ensure the consistency of the statistical data of the two parties and improve the Accuracy of cost allocation results. In the above manner, accurate and efficient apportionment of communication costs generated by various business scenarios when reaching users can be achieved.

Description of drawings

1 is a schematic diagram of a device structure of a hardware operating environment involved in an embodiment of the present invention;

Fig. 2 is the schematic flow chart of the first embodiment of the cost allocation method of the present invention;

Fig. 3 is the data interaction schematic diagram between each end in the cost apportionment system of the present invention;

FIG. 4 is a schematic diagram of the functional modules of the first embodiment of the cost allocating device according to the present invention.

The realization, functional characteristics and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

Referring to FIG. 1 , FIG. 1 is a schematic diagram of a device structure of a hardware operating environment involved in an embodiment of the present invention.

The cost sharing device in the embodiment of the present invention may be a smart phone, or may be a terminal device such as a PC (Personal Computer, personal computer), a tablet computer, and a portable computer.

As shown in FIG. 1 , the cost sharing device may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (eg, a Wi-Fi interface). The memory 1005 may be high-speed RAM memory, or may be non-volatile memory, such as disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the structure of the cost allocation device shown in FIG. 1 does not constitute a limitation on the cost allocation device, and may include more or less components than those shown in the figure, or combine some components, or different components layout.

As shown in FIG. 1, the memory 1005, which is a computer storage medium, may include an operating system, a network communication module, and a cost sharing program.

In the terminal shown in FIG. 1 , the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to the client and perform data communication with the client; and the processor 1001 can be used for The fee apportionment program stored in the memory 1005 is invoked, and each step of the following fee apportionment method is executed.

Based on the above hardware structure, various embodiments of the cost allocation method of the present invention are proposed.

The present invention provides a cost allocation method.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of the first embodiment of the cost allocation method of the present invention.

In this embodiment, the cost allocation method includes:

Step S10, when delivering a communication service, obtain communication service data and a communication service identifier, and generate a communication service delivery instruction based on the communication service data and the communication service identifier;

The data management method in this embodiment is applied to a data management system. The data management system includes a cost allocation device, a big data platform, and a third party. As shown in FIG. 3 , the third party may include one or more third parties. Among them, the cost allocation device is used to send the communication service issuance instruction to the third party, and generate the corresponding issuance data; correspondingly, the third party will issue the communication service, and then generate the return packet data according to the issuance result; Perform reconciliation processing on obtaining the first statistical table obtained by the big data platform and the second statistical table obtained by the third-party statistics, and then obtain the total first billing cost of the communication service within the preset time period according to the second statistical table, and Cost sharing is based on the first bill total cost. Among them, the communication service can include various modes such as SMS, phone call, email, and App message push. For the same communication service, different types can be set for different reaching purposes. For example, taking SMS as an example, it can include functions SMS, marketing SMS and other types. The delivery data is the data information of the communication service delivered by the cost allocation device, which may include the communication service data, the date of delivery of the communication service, the third party, the business scenario, the type of the communication service, and the first sending status (referring to the cost allocation device). sending status to a third party) and other information. The packet return data is the delivery situation of the communication service fed back by the third party, and can include the communication service identifier fed back by each third party (that is, an identifier bound to each communication service data, which is used for subsequent association with the delivered data) , the return date, the second sending status (referring to the sending status sent by the third party to the user terminal) and other information. The big data platform is used to obtain the delivery data and the packet return data, finally realize the statistics of the data, and obtain the data statistics table (including the first statistics table and the third statistics table).

For ease of description, the embodiment of the present invention is described by taking the communication service as a short message as an example. As shown in FIG. 3 , for the stability of short message delivery, an enterprise usually connects with multiple short message channel parties (that is, the third party in FIG. 3 ). to send a text message. Specifically, the cost sharing device can call the unified API (Application Programming Interface) provided by the unified message gateway to deliver the short message; the unified message gateway selects the short message delivery channel party through a certain strategy to deliver the short message, and then the channel party sends the short message Send a short message to the user terminal through the operator. After the operator sends the short message to the user terminal, it will send back information such as the sending status of the short message, the reason for the error, and additional information (including the communication service identifier), and then the short message delivery channel will send back the packet data to the unified messaging gateway. The unified messaging gateway will send the packet return information to the message middleware kafka. The cost sharing device goes to the message middleware kafka to pull back the packet data at regular intervals. The big data platform will periodically (such as early morning every day) obtain the delivery data of the short message from the cost sharing device through the scheduling system, and obtain the text message from kafka. Return the packet data, then synchronize the delivery data to the corresponding partition of the delivery table of the first database (optionally the Hive database) according to the delivery date, and synchronize the packet return data to the first database according to the return date. In the corresponding partition of the packet return table; and then based on the synchronization table and the packet return table, the packet return data is associated with the delivery data, and an intermediate table is obtained according to the association result, and the intermediate table includes the downlink of each issued short message. Sending date, channel party, business scenario, SMS type, sending status, error reason, additional information, etc. Finally, statistics tables of multiple dimensions can be obtained according to the statistics of the intermediate tables. Wherein, the statistical table may include a first statistical table obtained according to the third party (that is, each short message channel party) and the type of communication service (that is, the type of short message), and the first statistical table includes various types of communication services of each third party within a preset time period The data information (see Table 1 below); the third statistical table can also be obtained according to the type of business scenarios and communication services, and the third statistical table includes the data information of each type of communication service in each business scenario within a preset time period (see Table 2 below) ).

The fee allocating method in this embodiment is implemented by a fee allocating device, which is described by taking a server as an example.

In this embodiment, when distributing the communication service, the server first obtains the communication service data and the communication service identifier, and generates a communication service distribution instruction based on the communication service data and the communication service identifier. The communication service data is the content of the communication service that needs to be delivered. The communication service identifier is a character string with uniqueness. When a communication service is delivered, a communication service identifier is generated for each communication service and bound with the communication service, which is convenient for the big data platform to send data and return packets in the future. The data is correlated to facilitate subsequent data statistics.

Specifically, the step "acquiring the communication service data and the communication service identifier when delivering the communication service" includes:

Step a11, when distributing communication service, obtain communication service data, current date and current time, and generate a random number;

Step a12: Generate a communication service identifier according to the current date, the current time and the random number.

When delivering a communication service, first obtain the communication service data, current date and current time, and generate a random number; then, generate a communication service identifier according to the current date, current time and random number, and the current date, current time and random number can be Combining and splicing to obtain the communication service identifier. The acquisition format of the current time can be hours, minutes, seconds, and milliseconds, such as 17:10:10, 100 milliseconds, and the combination and splicing method can be the current date + current time + random number, such as 20200307+171010100 +N-bit random number, the communication service identifier is generated by the above method, which can ensure the uniqueness of the communication service identifier.

Step S20, sending the communication service issuance instruction to a third party, and generating corresponding issuance data, so that the third party issues the communication service based on the communication service issuance instruction, and generates a corresponding response. packet data;

Then, the communication service issuance instruction is sent to the third party, and corresponding issuance data is generated, so that the third party issues the communication service based on the communication service issuance instruction, and generates corresponding packet return data, thereby enabling the big data The platform obtains the first statistical table based on the statistics of the delivered data and the returned packet data. Among them, the delivered data is the data information of the communication service delivered by the cost apportionment device, which may include the communication service data, the delivery date of the communication service, the third party, the service scenario, the type of the communication service, the first sending status (referring to the fee Information such as the sending status sent by the apportionment device to a third party). The packet return data is the delivery situation of the communication service fed back by the third party, and can include the communication service identifier fed back by each third party (that is, an identifier bound to each communication service data, which is used for subsequent association with the delivered data) , the return date, the second sending status (referring to the sending status sent by the third party to the user terminal) and other information.

Step S30, obtaining a first statistical table of communication services within a preset time period obtained by the big data platform based on statistics of the delivered data and the packet return data, and obtaining communication services within a preset time period sent by the third party the second statistical table;

Obtain a first statistical table of communication services within a preset time period obtained by the big data platform based on statistics of the delivered data and packet return data, and obtain a second statistical table of communication services within a preset time period sent by a third party. Among them, the preset time period is the cost allocation cycle, which can be set according to actual needs, such as one month, one quarter, etc.

The first statistical table is obtained by the big data platform according to the types of third parties and communication services, and the first statistical table at least includes the successful return packets of each type of communication services of each third party (recorded as the first successful return packet) , may also include the delivery volume, delivery success volume and return packet volume of various types of communication services of each third party (respectively recorded as the first delivery volume, the first delivery success volume and the first return volume), and the volume of issue date. Taking the communication service as SMS, the type of communication service includes various SMS types (such as functional SMS, marketing SMS, etc., recorded as SMS type 1, 2...), and the third party as the channel party as an example, the statistics can be obtained as follows The first statistical table shown in Table 1. The first statistical table is obtained by the big data platform based on the statistics of the delivered data and the returned packet data, and the delivered data is associated with the returned packet data through the communication service identifier in the delivered data and the returned packet data to obtain an intermediate table, and then The statistics are performed based on the intermediate table, and the statistical process may refer to the following embodiments corresponding to the cost allocation system.

Table 1

The second statistical table is obtained by the third party according to the type of communication service, and the second statistical table includes one or more, the number of which is the same as that of the third party. The second statistical table includes at least the successful return packets of each type of communication (recorded as the second successful return packet), and may also include the delivery volume, delivery success volume and return packet volume of various types of communication services (respectively recorded as The second delivery volume, the second delivery success volume and the second return package volume), and the delivery date.

Step S40, performing reconciliation processing based on the first statistical table and the second statistical table;

Then, reconciliation processing is performed based on the first statistical table and the second statistical table. It should be noted that, in order to ensure the accuracy of the final cost allocation (ie, the second cost allocation), it is first necessary to ensure that the communication business data obtained by the enterprise (ie the cost allocation device) based on the statistics of the big data platform is consistent with that of the big data platform. The communication service data collected by the third party itself is consistent. Therefore, it is necessary to reconcile the communication service data collected by the two channels. Specifically, the total number of successful returns obtained by the two channels can be compared. For the specific account reconciliation process, refer to the following second embodiment.

By automatically reconciling the communication service data based on the statistics of the big data platform with the communication service data calculated by the third party itself, the consistency of the statistical data of the two parties can be ensured, and then the expenses can be apportioned. Through reconciliation processing, the accuracy of cost allocation results can be improved.

Step S50, when the account reconciliation is successful, obtain the total first billing cost of the communication service within the preset time period according to the second statistical table, and perform cost allocation based on the first total billing cost.

When the reconciliation is successful, the total first billing fee of the communication service within the preset time period is acquired according to the second statistical table, and the fee is allocated based on the first total billing fee. Specifically, firstly, obtain the second successful amount of the third party's various types of communication services from the second statistical table, and obtain the unit price of each third party's various types of communication services; Calculate and obtain the total first billing fee of the communication service within the preset time period; obtain the successful return volume of each type of communication service in each business scenario within the preset time period; calculate and obtain each service according to the first billing total cost and the successful return package volume The first apportioned cost of the scenario; the first apportioned cost is added to obtain the total cost of the second bill; the first apportioned cost is updated according to the total cost of the first bill and the total cost of the second bill to obtain the first apportioned cost of each business scenario. Two share the cost. For the specific execution process, reference may be made to the following third embodiment, which will not be repeated this time.

The embodiment of the present invention provides a method for allocating expenses. When distributing a communication service, the communication service data and the communication service identifier are obtained, and a communication service distribution instruction is generated based on the communication service data and the communication service identifier; and the communication service distribution instruction is sent to to the third party, and generate corresponding delivery data, so that the third party can issue the communication service based on the communication service issuance instruction, and generate corresponding packet return data. Then, obtain a first statistical table of communication services within a preset time period obtained by the big data platform based on statistics of the sent data and packet return data, and obtain a second statistical table of communication services within a preset time period sent by a third party; Perform reconciliation processing between the first statistical table and the second statistical table; when the reconciliation is successful, obtain the total first billing cost of the communication service within the preset time period according to the second statistical table, and perform cost allocation based on the first total billing cost . In the present invention, the unique communication service identifier is bound to the communication service data, the service is sent and returned, and the corresponding sent data and return data are obtained, and then based on the communication service identifier The data and the packet return data are correlated and counted, so that the tracking and statistics of each communication service data can be realized, and the efficiency and accuracy of the data statistics can be ensured. Then, the first statistical table obtained by the big data platform is reconciled with the second statistical table obtained by the third-party statistics, and the cost can be apportioned only when the reconciliation is successful, so as to ensure the consistency of the statistical data of the two parties and improve the Accuracy of cost allocation results. In the above manner, accurate and efficient apportionment of communication costs generated by various business scenarios when reaching users can be achieved.

Further, based on the above-mentioned first embodiment, a second embodiment of the cost allocation method of the present invention is proposed.

In this embodiment, step S40 includes:

Step a41: Acquire the total number of successful first packet returns of each type of communication service of each third party according to the first statistical table, and acquire the total number of successful second packet returns of each type of communication service of each third party according to the second statistical table ;

Step a42: Detect whether the total successful amount of the first return and the total success of the second return meet a preset condition, so as to determine whether the account reconciliation is successful.

In this embodiment, the specific account reconciliation process is:

First, according to the first statistical table, obtain the total number of successful first-return packets of each type of communication service of each third party. Specifically, firstly, obtain the number of successful first-return packets of each type of communication service of each third party from the first statistical table. Then, add up to obtain the total number of successful first-return packets; at the same time, obtain the total number of successful second-return packets of each type of communication service of each third party according to the second statistical table. The number of successful second packet returns of the type of communication service, and then add up to obtain the total number of successful second packet packets.

Then, it is detected whether the total successful amount of the first return and the total success of the second return meet the preset conditions, so as to determine whether the reconciliation is successful. If the preset conditions are met, it is determined that the reconciliation is successful; if the preset conditions are not met, it is determined that the reconciliation fails. Wherein, the preset condition may include: calculating the difference value between the total successful amount of the first return package (denoted as S) and the total successful amount of the second return package (denoted as S') according to a preset formula, and then detect the difference Whether the value is within the preset threshold range. The difference value can be represented by relative deviation (bias), and the corresponding preset formula is bias=|S'-S|/S; the difference value can also be directly represented by ratio, and the corresponding preset formula is ratio=S'/S. It can be understood that different types of difference values correspond to different preset threshold ranges.

It should be noted that, in this embodiment, the reconciliation is performed based on the dimension of the total number of successful returns of each type of communication service of each third party. In the specific embodiment, in order to further ensure the accuracy of the cost allocation result, further Reconciliation dimensions can be refined. For example, reconciliation can be performed based on multiple dimensions (the number of dimensions is the same as the number of third parties) based on the total number of successful returns of each third party, or based on the total number of successful returns of various types of communication services. A number of dimensions (the number of dimensions is the same as the number of types of communication services) is used for reconciliation, etc.

In the embodiment of the present invention, automatic reconciliation can be performed between the communication service data obtained based on the statistics of the big data platform and the communication service data calculated by the third party itself, so as to ensure the consistency of the statistical data of the two parties, and then when the reconciliation is consistent, the Cost-sharing. Through reconciliation processing, the accuracy of cost allocation results can be improved.

Further, based on the above-mentioned first embodiment, a third embodiment of the cost allocation method of the present invention is proposed.

In this embodiment, step S50 includes:

Step a51, obtaining from the second statistical table the second successful amount of the second packet return of each type of communication service of each third party, and obtaining the unit price of each type of communication service of each third party;

Step a52, calculating the total first billing cost of the communication service within the preset time period according to the second successful amount of the return package and the cost unit price;

When the account reconciliation is successful, the second successful amount of the second packet return of each type of communication service of each third party is obtained from the second statistical table, and the unit price of each type of communication service of each third party is obtained. Since the charging standards of different third parties for different types of communication services are usually different, it is necessary to obtain the second successful return packets of each type of communication services of each third party.

Then, the total first billing cost of the communication service within the preset time period is calculated according to the amount of the second successful packet return and the unit price of the charge. Specifically, the second successful packet return amount of each type of communication service of each third party is first calculated with the corresponding The unit price of the fee is multiplied to obtain the first billing fee of each type of communication service of each third party, and then the first billing fee is added up to obtain the total first billing fee. Among them, the preset time period is the cost allocation cycle, which can be set according to actual needs, such as one month, one quarter, etc.

It should be noted that, during specific implementation, since the rules for setting the unit price of charges are inconsistent, a specific calculation rule for the total charge of the first bill may be correspondingly set.

Step a53: Acquire the successful packet return volume of each type of communication service in each business scenario within a preset time period; and acquire the successful packet return volume of each type of communication service in each business scenario within the preset time period. Among them, the preset time period is the cost allocation cycle, which can be set according to actual needs, such as one month, one quarter, etc.

The number of successful packet returns of each type of communication service in each service scenario within a preset time period may preferably be obtained based on a third statistical table of statistics on the big data platform. The third statistical table is obtained by statistics based on business scenarios and types of communication services. The third statistical table includes at least the successful return packets of each type of communication services in each business scenario (recorded as the third successful return packet volume), and also It can include the delivery volume, delivery success volume, and return packet volume of each type of communication service in each business scenario (respectively recorded as the third delivery volume, the third delivery success volume, and the third return volume), as shown in Table 2 below shown. Among them, the third delivery volume is the number of communication services delivered by the cost sharing device, the third delivery success volume is the number of successful delivery when the fee sharing device delivers the communication services to a third party, and the third return packet volume is It is the actual delivery quantity of the communication service fed back by the third party, and the third successful packet return quantity is the quantity of the communication service reaching the feedback from the third party. Taking the communication service as SMS as an example, the third delivery volume is the number of text messages delivered, and the delivery success volume is the number of successful delivery (referring to the success of delivery to a third party). In the actual sending process, it may be split into multiple pieces. Correspondingly, the third return packet volume is the actual delivery volume of the short message. Since each short message may not be successfully received, the third return packet volume is successful. That is, the actual number of successful SMS delivery.

Table 2

Of course, it can be understood that, in a specific embodiment, the number of successful packet returns for each type of communication service in each business scenario within a preset time period can also be obtained by adding up the number of each type of communication service in each business scenario and each type of communication service calculated by each third party, respectively, However, compared with the statistics obtained based on the big data platform in this embodiment, the workload of each third party will increase.

Step a54, calculating the first apportioned cost of each business scenario according to the total cost of the first bill and the successful amount of the return package;

Then, the first apportioned cost of each business scenario is calculated according to the total cost of the first bill and the amount of successful returns. Specifically, the calculation process of the first allocated cost is as follows:

If the charging standards of various types of communication services are the same, the successful return packets of each type of communication services in each business scenario in the preset time period can be added up to obtain the total successful return packets of each business scenario, and then calculate The percentage of successful returns of each business scenario; finally, the percentage of successful returns of each business scenario is multiplied by the total cost of the first bill to calculate the first apportioned cost of each business scenario. That is to say, if the charging standards of various types of communication services are the same, the calculation formula of the first allocated fee for each service scenario is as follows:

Among them, F _i represents the first apportioned cost of the business scenario i; F' represents the total cost of the first bill; S _1i represents the successful return of the business scenario i; S ₁ represents the total successful return of the package, S ₁ =∑S _1i , which is the sum of the successful returns of each business scenario.

For example, in Table 2 above, it can be calculated that the total successful return volume corresponding to business scenario 1 is 110+380=490, and the total successful return volume corresponding to business scenario 2 is 400+240=640. Then, it can be calculated that the percentage of successful returns of business scenario 1 is 490/(490+640)×100%=43.4%, and the percentage of successful returns of service scenario 1 is 640/(490+640)×100 %=56.6%. Assuming that the total cost of the first bill is 10,000 yuan, it can be calculated that the first apportioned cost of business scenario 1 is 10,000×43.4%=4,340 yuan, and the first apportioned cost of business scenario 2 is 10,000×56.6%=566 yuan.

If the charging standards of various types of communication services are different, a ratio can be determined based on the charging standards of various types of communication services, and then calculated based on the ratio and the successful return packets of various types of communication services in each business scenario within a preset time period. Obtain the substantial return packets of various types of communication services in each business scenario, and add up the substantial return packets of each type of communication services in each business scenario within a preset time period to obtain the substantial return packets of each business scenario. The total number of successful returns, and then, the percentage of the actual successful return of each business scenario is calculated; finally, the percentage of the actual successful return of each business scenario is multiplied by the total cost of the first bill, and the first value of each business scenario is calculated. share the expense. That is to say, if the charging standards of various types of communication services are different, the calculation formula of the first allocated fee for each service scenario is as follows:

Among them, F _i represents the first apportioned cost of the business scenario i; F' represents the total cost of the first bill; S _2i represents the actual amount of successful packet return of the business scenario i, S _2i =S _1i *a _i , where a _i is The proportion corresponding to the business scenario i; S ₂ represents the total successful amount of actual return packets, and S ₂ =∑S _2i , which is the sum of the actual number of successful return packets of each business scenario.

For example, in the above table 2, if the charging standards of SMS type 1 and SMS type 2 of the communication service are 0.1 yuan and 0.2 yuan, the ratio can be determined to be 1:2. Correspondingly, the actual return package of SMS type 1 in business scenario 1 can be calculated. The success volume is 110×1=110, the actual number of successful return packets of SMS type 2 in business scenario 1 is 380×2=760, and the actual number of successful return packets of SMS type 1 in business scenario 2 is 400×1=400, business scenario 2 The actual number of successful return packets of SMS type 2 is 240×2=480; then the total number of successful actual return packets corresponding to business scenario 1 is 110+760=870, and the total number of successful actual return packets corresponding to business scenario 2 is 400 +480=880. Then, it can be calculated that the proportion of the actual successful return of business scenario 1 is 870/(870+880)×100%=49.7%, and the proportion of the actual successful return of business scenario 1 is 880/(870+880) ×100%=50.3%. Assuming that the total cost of the first bill is 10,000 yuan, it can be calculated that the first apportioned cost of business scenario 1 is 10,000×49.7%=4,970 yuan, and the first apportioned cost of business scenario 2 is 10,000×50.3%=5,030 yuan.

Step a55, adding the first apportioned cost to obtain the second total billing cost;

After the first apportioned costs of each business scenario are obtained, the first apportioned costs are added to obtain a second total billing cost.

Step a56, according to the total cost of the first bill and the total cost of the second bill, update the first apportioned cost to obtain the second apportioned cost of each business scenario.

In the process of the total charge of the second bill, the data will be rounded or rounded, resulting in a certain difference between the total charge of the second bill and the total charge of the first bill, that is, the total charge of the second bill If the total cost of the first bill is not equal to the total cost of the first bill, in this case, the first apportioned cost needs to be updated according to the total cost of the first bill and the total cost of the second bill to obtain the second apportioned cost of each business scenario.

Further, as one of the apportionment methods, step a56 may include:

Step a561: Calculate the cost difference according to the total cost of the first bill and the total cost of the second bill;

Step a562, determining the apportioned cost to be updated according to the first apportioned cost, and updating the apportioned cost to be updated according to the cost difference;

Step a563, based on the updated apportioned cost to be updated and the first apportioned cost, obtain the second apportioned cost of each business scenario.

In this embodiment, the cost difference may be calculated according to the total cost of the first bill and the total cost of the second bill; then, the apportioned cost to be updated is determined according to the first apportioned cost, for example, the maximum or minimum value of the first apportioned cost is determined. Determine the apportioned cost to be updated, and update the apportioned cost to be updated according to the cost difference, that is, add the cost difference to the apportioned cost to be updated to obtain the updated apportioned cost to be updated; and then, based on the updated apportionment to be updated The cost and the first allocated cost are obtained to obtain the second allocated cost of each business scenario.

Of course, in specific embodiments, other apportionment methods can also be set, for example, the cost difference is evenly distributed to each business scenario, and then each first apportioned cost is updated to obtain the second apportioned cost of each business scenario; another example , allocate the cost difference proportionally (eg, the ratio between the corresponding first apportioned costs of each business scenario) to each business scenario, and then update each first apportioned cost to obtain the second apportioned cost of each business scenario. No examples are given here.

In addition, it should be noted that if there is no difference between the total cost of the first bill and the total cost of the second bill, there is no need to update the first apportioned cost, and the first apportionment can be directly used as the final apportioned cost of each business scenario .

Further, after step a56, the cost allocation method further includes:

Send the second apportioned fee to the corresponding product party.

In this embodiment, after acquiring the second apportioned cost of each business scenario, the second apportioned cost may be sent to the corresponding product party to notify each product party of the cost to be apportioned. Among them, the product release corresponds to a business scenario, and a business scenario corresponds to a product side.

In this embodiment, according to the second statistical table sent by the third party, the corresponding total first billing fee is calculated, and then the first billing amount of each business scenario and each type of communication business successfully obtained by statistics is preliminarily calculated to obtain the first billing amount of each business scenario. 1. Allocate the cost; and then update the first allocating cost to avoid errors in the calculation process, and obtain the final allocating cost of each business scenario, that is, the second allocating cost. In the above manner, accurate allocation of communication costs generated by each service scenario when reaching a user can be achieved.

Further, based on the above embodiments, a fourth embodiment of the cost allocation method of the present invention is proposed.

In this embodiment, after step S40, the cost allocation method further includes:

Step A, when the account reconciliation fails, send back-packet data push-back information to the third party, so that the third party sends back-packet data to the big data platform based on the back-packet data push-back information, so that for the big data platform to update the first statistical table based on the supplementary push back packet data;

Step B: Receive the updated first statistical table sent by the big data platform, and perform reconciliation processing based on the updated first statistical table and the second statistical table.

In this embodiment, when the account reconciliation fails, it may be because the third party has missed the pushback data. At this time, the third party can send the pushback information of the pushback data to the third party, so that the third party can push the pushback information based on the pushback data. The data platform sends the supplementary push back package data for the big data platform to update the first statistical table based on the supplementary push back package data. Correspondingly, after updating the first statistical table, the big data platform will update the updated first statistical table to the database of the cost allocation device. At this time, when receiving the updated first statistical table sent by the big data platform, the fee allocation device performs reconciliation processing based on the updated first statistical table and the second statistical table, and then continues to perform subsequent steps.

Of course, in a specific embodiment, when the account reconciliation fails, the management personnel responsible for the cost allocation and the third-party staff may be notified, so that the management personnel and the third-party staff can check the reasons for the failure of account reconciliation together.

Through the above method, when the account reconciliation fails, it is possible to send back-packet data supplementary information to the third party, so that the third party can send back-packet data to the big data platform, so that the big data platform can update the first statistical table, and then share the cost. The device can automatically reconcile the communication service data (ie, the first statistical table) based on the statistics and update of the big data platform with the communication service data (ie, the second statistical table) of the third party's own statistics, so as to ensure the consistency of the statistical data of the two parties. , and then when the reconciliation is consistent, the cost is allocated. Through reconciliation processing, the accuracy of cost allocation results can be improved.

The present invention also provides a cost sharing system.

In this embodiment, the fee sharing system includes: a fee sharing device, a big data platform and a third party, and the above-mentioned fee sharing method is applied to the fee sharing system.

Wherein, the cost allocating device is used to execute each step in the above-mentioned embodiment of the above-mentioned cost allocating method, and the specific functions and implementation process may refer to the above-mentioned embodiments, which will not be repeated here.

The big data platform is used to obtain the delivery data of the communication service from the expense sharing device through the scheduling system at regular intervals, and obtain the packet return data of the communication service from the distributed message system;

Synchronizing the delivery data to the corresponding partition of the delivery table of the first database according to the delivery date, and synchronizing the package return data to the corresponding partition of the package return table of the first database according to the return date;

Based on the delivery table and the packet return table obtained by synchronization, associate the packet return data with the delivery data, and obtain an intermediate table according to the association result;

A first statistical table is obtained by collecting statistics on data information of various types of communication services of each third party within a preset time period according to the intermediate table.

In this embodiment, as shown in FIG. 3 , the big data platform is used to obtain the delivery data of the communication service from the cost apportionment device through the scheduling system (such as early morning every day) at regular intervals, and obtain the data of the communication service from the distributed message system. Return packet data. Among them, the distributed message system is optionally kafka, which can be used for the storage, publication and subscription of massive offline data messages; the delivered data is the data information of the communication service delivered by the cost sharing device, and the returned data is the third-party feedback the distribution of communication services.

Then, the delivery data is synchronized to the corresponding partition of the delivery table of the first database according to the delivery date, and the packet return data is synchronized to the corresponding partition of the packet return table of the first database according to the delivery date. Wherein, the first database is optionally a Hive database; the delivery table includes the delivery date of each delivered communication service, the third party, the business scenario, the type of the communication service, and the first sending status (referring to the delivery to The sending status of the third party) and other information, the packet return table includes the identification of the communication service fed back by each third party (that is, an identification bound to the data of each communication service, used for subsequent association with the delivered data), packet return Date, second sending status (referring to the sending status delivered by a third party to the user terminal) and other information.

Then, based on the release table and the packet return table obtained by synchronization, the packet return data is associated with the delivery data, and an intermediate table is obtained according to the association result. Specifically, the intermediate table is based on the following publications, that is, first synchronize the delivered data synchronized in the delivery table to the corresponding partition of the intermediate table, and then synchronize the corresponding partition in the intermediate table based on the synchronized return packet data in the packet return table. Send data for association to update the intermediate table. For example, if the release date of the synchronized delivery data in the delivery table is date1, a new partition of date1 is created in the intermediate table, and the delivered data is synchronized to the date1 partition of the intermediate table. The data includes the communication services with the delivery date of date1, date2 and date3, and the corresponding communication services will be found in the partitions of date1, date2 and date3 in the intermediate table according to the identification of the communication services in the returned packet data, so as to associate and update the corresponding communication services. The second sending state, and then the intermediate table is obtained.

Finally, the data information of each type of communication service of each third party within a preset time period is counted according to the intermediate table, and a first statistical table is obtained. Wherein, the first statistical table is obtained according to the type of the third party and the communication service, and the first statistical table at least includes the successful return packets of each type of communication services of each third party (referred to as the first successful return packet), and also It may include the delivery volume, delivery success volume and return volume of various types of communication services of each third party (respectively recorded as the first delivery volume, the first delivery success volume and the first return volume), and the delivery date .

the third party, configured to send the packet return data to the distributed message system;

It is also used for receiving the delivered data sent by the expense apportioning device, and obtaining a second statistical table according to the statistics of the delivered data.

In this embodiment, the third party, as shown in FIG. 3 , is used to send the packet return data to the distributed message system after the communication service is issued, so that the cost allocation device and the big data platform can transfer the data from the distributed message system to the distributed message system. obtained in. Among them, the distributed message system is optionally kafka, which can be used for storage, publication and subscription of massive offline data messages. The third party is also used to receive the delivered data sent by the cost allocation device, and obtain the second statistical table according to the statistics of the delivered data. The second statistical table is obtained by each third party according to the type of communication service, and the second statistical table includes one or more, the number of which is the same as that of the third party. The second statistical table includes at least the successful return packets of each type of communication (recorded as the second successful return packet), and may also include the delivery volume, delivery success volume and return packet volume of various types of communication services (respectively recorded as The second delivery volume, the second delivery success volume and the second return package volume), and the delivery date. The second statistical table is used for reconciliation by the cost allocation device.

This embodiment provides a cost allocation system, which includes a cost allocation device, a big data platform, and a third party. Realize accurate allocation of communication costs when reaching users.

Further, the third party is further configured to send back-packet data to the big data platform based on the back-packet data supplementary information when receiving the back-packet data supplementary information sent by the cost apportionment device;

The big data platform is further configured to update the first statistical table based on the supplementary pushback package data when the supplementary pushback package data is received.

In this embodiment, when the reconciliation fails, the fee apportionment device will send back-packet data supplementary push information to the third party. Send the supplementary push back packet data to the big data platform based on the back packet data supplementary push information. Correspondingly, the big data platform is further configured to update the first statistical table based on the supplementary pushback package data when the supplementary pushback package data is received. Specifically, in the process of updating the first statistical table based on the supplementary push-back data, the return table may be updated first, and then, when the intermediate table is updated based on the updated return table with reference to the above method, the first statistical table is then updated based on the updated intermediate table. A statistical table.

The big data platform, after updating the first statistical table, may send the updated first statistical table to the expense apportionment device, so that the expense apportionment device reconciles the accounts based on the updated first statistical table.

Through the above method, when the reconciliation fails, the cost apportionment device sends back-packet data supplementary information to the third party. At this time, the third party sends back-packet data to the big data platform based on the back-packet data supplementary information. Correspondingly, The big data platform updates the first statistical table based on the supplementary push-back package data, which can facilitate the subsequent cost allocation device to reconcile accounts based on the updated first statistical table, and then perform cost allocation.

Further, the third party is further configured to analyze the communication service issuance instruction when receiving the communication service issuance instruction sent by the expense apportionment device, and obtain the communication service data and the communication service identifier;

Delivering a communication service based on the communication service data, obtaining a corresponding delivery result, and generating packet return data of the communication service according to the delivery result and the communication service identifier;

In this embodiment, the third party is further configured to analyze the communication service issuance instruction when receiving the communication service issuance instruction sent by the expense sharing device, and obtain communication service data and communication service identifier. Then, the communication service is delivered based on the communication service data, a corresponding delivery result is obtained, and the packet return data of the communication service is generated according to the delivery result and the communication service identifier.

The big data platform is further configured to synchronize the issued data to the corresponding partition of the intermediate table based on the issued table obtained by synchronization;

Based on the packet return table obtained by synchronization, the packet return data is analyzed to obtain the communication service identifier, and the target delivery date corresponding to the packet return data is determined according to the communication service identifier;

The packet return data is associated with the delivered data in the synchronized intermediate table based on the target delivery date, and an intermediate table is obtained according to the correlation result.

In this embodiment, after the big data platform obtains the release table and the return table based on the synchronization of the issued data and the return data, it first synchronizes the issued data to the corresponding partition of the intermediate table based on the synchronization obtained; that is, Set up multiple partitions in the intermediate table, and each partition will send the date accordingly. Then, based on the synchronously obtained packet return table, the packet return data is parsed to obtain a communication service identifier, and a target delivery date corresponding to the packet return data is determined according to the communication service identifier. The return packet data includes the communication service identifier, and the communication service identifier includes the delivery date, so the corresponding target delivery date can be obtained by analysis. Then, based on the target delivery date, the packet return data is associated with the delivered data in the synchronized intermediate table, and the intermediate table is obtained according to the association result, that is, the packet return status of each delivered data is updated according to the return packet data (that is, the first 2. Sending status).

The invention also provides a cost sharing device.

Referring to FIG. 4 , FIG. 4 is a schematic diagram of functional modules of the first embodiment of the cost apportioning device of the present invention.

As shown in Figure 4, the cost sharing device includes:

a first obtaining module 10, configured to obtain communication service data and a communication service identifier when delivering a communication service, and generate a communication service delivery instruction based on the communication service data and the communication service identifier;

The generating module 20 is configured to send the communication service issuing instruction to a third party, and generate corresponding issuing data, so that the third party can issue the communication service based on the communication service issuing instruction, and generate Corresponding packet return data;

The second obtaining module 30 is configured to obtain the first statistical table of the communication service within the preset time period obtained by the big data platform based on the statistics of the delivered data and the packet return data, and obtain the preset data sent by the third party. A second statistical table of communication services within a time period;

A reconciliation module 40, configured to perform reconciliation processing based on the first statistical table and the second statistical table;

The expense apportioning module 50 is configured to acquire, according to the second statistical table, the total first billing cost of the communication service within a preset time period when the reconciliation is successful, and perform cost apportioning based on the first billing total cost.

Further, the first acquisition module 10 includes:

The first obtaining unit is used to obtain the communication service data, the current date and the current time, and generate a random number when the communication service is issued;

An identification generating unit, configured to generate a communication service identification according to the current date, the current time and the random number.

Further, the account reconciliation module 40 includes:

The second obtaining unit is configured to obtain the total number of successful first packets of each type of communication service of each third party according to the first statistical table, and obtain the second round of communication services of each type of third party according to the second statistical table The total number of successful packages;

A detection unit, configured to detect whether the total success amount of the first return package and the total success amount of the second return package meet a preset condition, so as to determine whether the account reconciliation is successful.

Further, the cost allocation module 50 includes:

a third obtaining unit, configured to obtain the second successful amount of the second packet return of each type of communication service of each third party from the second statistical table, and obtain the unit price of each type of communication service of each third party;

a first calculation unit, configured to calculate and obtain the total first billing cost of the communication service within a preset time period according to the second successful amount of the return package and the cost unit price;

a fourth acquisition unit, configured to acquire the successful amount of packet return of each type of communication service in each service scenario within a preset time period;

a second calculation unit, configured to calculate and obtain the first apportioned cost of each business scenario according to the total cost of the first bill and the successful amount of the return package;

a third calculation unit, configured to add up the first apportioned charges to obtain the total charge of the second bill;

A fee updating unit, configured to update the first allocated fee according to the total fee of the first bill and the total fee of the second bill to obtain the second allocated fee of each business scenario.

Further, the fee update unit is specifically used for:

Calculate the cost difference according to the total cost of the first bill and the total cost of the second bill;

Determine the apportioned cost to be updated according to the first apportioned cost, and update the apportioned cost to be updated according to the cost difference;

Based on the updated apportioned cost to be updated and the first apportioned cost, the second apportioned cost of each business scenario is obtained.

Further, the cost apportionment device also includes:

An information sending module, configured to send the re-packet data supplementary push information to the third party when the reconciliation fails, so that the third party sends a supplementary push back package to the big data platform based on the back-packet data supplementary information data, for the big data platform to update the first statistical table based on the pushback packet data;

The receiving module is configured to receive the updated first statistical table sent by the big data platform, and perform reconciliation processing based on the updated first statistical table and the second statistical table.

The function implementation of each module in the above-mentioned cost allocating device corresponds to each step in the above-mentioned cost allocating method embodiment, and the functions and implementation process thereof will not be repeated here.

The present invention also provides a computer-readable storage medium, on which a cost allocation program is stored, and when the cost allocation program is executed by a processor, the cost allocation method according to any one of the above embodiments is implemented. step.

The specific embodiments of the computer-readable storage medium of the present invention are basically the same as the above-mentioned embodiments of the cost allocation method, and are not repeated here.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or system comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or system. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system that includes the element.

The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages or disadvantages of the embodiments.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on such understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products are stored in a storage medium (such as ROM/RAM) as described above. , magnetic disk, optical disk), including several instructions to make a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the description and drawings of the present invention, or directly or indirectly applied in other related technical fields , are similarly included in the scope of patent protection of the present invention.

Claims (12)

1. A cost apportionment method, characterized in that, the cost apportionment method comprises: When distributing a communication service, acquiring communication service data and a communication service identifier, and generating a communication service distribution instruction based on the communication service data and the communication service identifier; sending the communication service issuance instruction to a third party, and generating corresponding issuance data, so that the third party issues the communication service based on the communication service issuance instruction, and generates corresponding packet return data; Obtain the first statistical table of the communication service within the preset time period obtained by the big data platform based on the statistics of the sent data and the packet return data, and obtain the second statistical table of the communication service within the preset time period sent by the third party. statistical table; performing reconciliation processing based on the first statistical table and the second statistical table; When the reconciliation is successful, the total first billing fee of the communication service within the preset time period is obtained according to the second statistical table, and the fee is allocated based on the first total billing fee. 2. The method for allocating expenses as claimed in claim 1, wherein when the communication service is issued, the step of acquiring communication service data and communication service identification comprises: When distributing the communication service, obtain the communication service data, the current date and the current time, and generate a random number; A communication service identifier is generated according to the current date, the current time and the random number. 3. The cost allocation method according to claim 1, wherein the step of performing reconciliation processing based on the first statistical table and the second statistical table comprises: Acquire the total number of successful first packet returns of each type of communication service of each third party according to the first statistical table, and acquire the total successful volume of second packet return of each type of communication service of each third party according to the second statistical table; It is detected whether the total successful amount of the first return and the total success of the second return meet a preset condition to determine whether the account reconciliation is successful. 4. The method for allocating expenses according to claim 1, wherein the first total billing fee of the communication service within a preset time period is obtained according to the second statistical table, and the total billing fee is based on the first billing fee. The steps for cost sharing include: Obtaining the second successful amount of the second packet return of each type of communication service of each third party from the second statistical table, and obtaining the unit price of each type of communication service of each third party; Calculate the total first billing cost of the communication service within the preset time period according to the second successful amount of the return package and the cost unit price; Obtain the successful return packets of each type of communication service in each business scenario within a preset time period; Calculate the first apportioned cost of each business scenario according to the total cost of the first bill and the successful amount of the return package; adding up the first apportioned charges to obtain the total charge of the second bill; According to the total cost of the first bill and the total cost of the second bill, the first apportioned cost is updated to obtain the second apportioned cost of each business scenario. 5 . The cost allocation method according to claim 4 , wherein, according to the total cost of the first bill and the total cost of the second bill, the first allocated cost is updated to obtain each business scenario. 6 . The second cost-sharing steps include: Calculate the cost difference according to the total cost of the first bill and the total cost of the second bill; Determine the apportioned cost to be updated according to the first apportioned cost, and update the apportioned cost to be updated according to the cost difference; Based on the updated apportioned cost to be updated and the first apportioned cost, the second apportioned cost of each business scenario is obtained. 6. The cost allocation method according to any one of claims 1 to 5, wherein after the step of performing reconciliation processing based on the first statistical table and the second statistical table, the method further comprises: When the reconciliation fails, send back-packet data push-back information to the third party, so that the third party sends back-packet data to the big data platform based on the back-packet data push-back information for the The big data platform updates the first statistical table based on the supplementary push back packet data; Receive the updated first statistical table sent by the big data platform, and perform reconciliation processing based on the updated first statistical table and the second statistical table. 7. A cost apportionment device, wherein the cost apportionment device comprises: a first obtaining module, configured to obtain communication service data and a communication service identifier when delivering a communication service, and generate a communication service delivery instruction based on the communication service data and the communication service identifier; A generating module, configured to send the communication service issuance instruction to a third party, and generate corresponding issuance data, so that the third party issues the communication service based on the communication service issuance instruction, and generates corresponding issuance data. return packet data; The second obtaining module is configured to obtain the first statistical table of the communication service within the preset time period obtained by the big data platform based on the statistics of the sent data and the packet return data, and obtain the preset time sent by the third party Second statistical table of intra-segment communication services; a reconciliation module, configured to perform reconciliation processing based on the first statistical table and the second statistical table; The cost allocation module is configured to acquire the total first billing cost of the communication service within the preset time period according to the second statistical table when the reconciliation is successful, and perform cost allocation based on the first total billing cost. 8. A cost apportionment device, characterized in that the cost apportionment device comprises: a memory, a processor, and a cost apportionment program stored on the memory and executable on the processor, the cost apportionment program being The processor implements the steps of the cost allocation method according to any one of claims 1 to 6 when executed. 9. A fee sharing system, characterized in that the fee sharing system comprises: fee sharing equipment, a big data platform and a third party; wherein, The cost apportionment device is the cost apportionment device as claimed in claim 7; The big data platform is used to obtain the delivery data of the communication service from the expense sharing device through the scheduling system at regular intervals, and obtain the packet return data of the communication service from the distributed message system; Synchronizing the delivery data to the corresponding partition of the delivery table of the first database according to the delivery date, and synchronizing the package return data to the corresponding partition of the package return table of the first database according to the return date; Based on the delivery table and the packet return table obtained by synchronization, associate the packet return data with the delivery data, and obtain an intermediate table according to the association result; Counting data information of various types of communication services of each third party within a preset time period according to the intermediate table, to obtain a first statistical table; the third party, configured to send the packet return data to the distributed message system; It is also used for receiving the delivered data sent by the expense apportioning device, and obtaining a second statistical table according to the statistics of the delivered data. 10. The fee apportionment system of claim 8, wherein: The third party is further configured to, when receiving the re-packet data re-push information sent by the cost apportionment device, send re-push back-packet data to the big data platform based on the re-package data re-push information; The big data platform is further configured to update the first statistical table based on the supplementary pushback package data when the supplementary pushback package data is received. 11. The fee sharing system according to claim 9 or 10, characterized in that, The third party is further configured to parse the communication service issuance instruction when receiving the communication service issuance instruction sent by the expense apportionment device, and obtain the communication service data and the communication service identifier; Delivering a communication service based on the communication service data, obtaining a corresponding delivery result, and generating packet return data of the communication service according to the delivery result and the communication service identifier; The big data platform is further configured to synchronize the issued data to the corresponding partition of the intermediate table based on the issued table obtained by synchronization; Based on the packet return table obtained by synchronization, the packet return data is analyzed to obtain the communication service identifier, and the target delivery date corresponding to the packet return data is determined according to the communication service identifier; The packet return data is associated with the delivered data in the synchronized intermediate table based on the target delivery date, and an intermediate table is obtained according to the correlation result. 12. A computer-readable storage medium, characterized in that, a cost-sharing program is stored on the computer-readable storage medium, and when the cost-sharing program is executed by a processor, the program as claimed in any one of claims 1 to 6 is implemented. steps in the cost allocation method described above.

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