CN111461055A - Method and device for identifying state of signal to be monitored and electronic equipment - Google Patents

Abstract

The embodiment of the present specification provides a method for identifying a state of a signal to be monitored, in which a signal to be monitored is acquired, the signal to be monitored is divided into a plurality of sub-segments, and data change characteristics of each sub-segment signal are determined, and differences in the data change characteristics of different sub-segment signals can reflect fluctuation conditions of the signal to be monitored, so that a production state matched with the signal to be monitored is identified based on differences in the data change characteristics of different sub-segment signals by using a state matching rule having a stable state, a rising state, a falling state and a fluctuation state, so that the state of the signal to be monitored can be identified at the same time, and therefore, the method is more comprehensive.

Description

A method, device and electronic device for identifying the state of a signal to be monitored

technical field

The present application relates to the field of computers, and in particular, to a method, apparatus and electronic device for identifying the state of a signal to be monitored.

Background technique

Set up sensors in the equipment to be monitored or the environment to be monitored, obtain the signal to be monitored through the sensor, and analyze the parameter status of the equipment to be monitored and the environment to be monitored by processing the signal to be monitored, and then determine the current status of the equipment to be monitored and the environment to be monitored. Whether the production status is abnormal is a common method in the field of automatic monitoring.

For the monitoring of production status, the signal to be monitored is mostly processed first, and the status of the signal to be monitored is identified according to the three changing shapes (constant, rising, and falling) of the amplitude of the monitoring signal on the image.

However, this method is not comprehensive enough, and a more comprehensive method for identifying the state of the signal to be monitored is required.

SUMMARY OF THE INVENTION

The embodiments of the present specification provide a method, apparatus and electronic device for identifying the state of a signal to be monitored, so as to identify the state of the signal to be monitored more comprehensively.

The embodiments of this specification provide a method for identifying the state of a signal to be monitored, including:

Obtain the signal to be monitored;

dividing the to-be-monitored signal into a plurality of sub-segments and determining the data variation characteristics of each sub-segment signal;

Using the state matching rules with steady state, rising state, falling state and fluctuating state, the production state matched by the to-be-monitored signal is identified based on the difference of the data change characteristics of different sub-segment signals.

Optionally, the obtaining the signal to be monitored includes:

According to the preset monitoring period duration, the to-be-monitored signal of the current monitoring period and the to-be-monitored signal of the historical monitoring period are obtained;

The dividing the signal to be monitored into multiple sub-segments includes:

The to-be-monitored signals of the current monitoring period and the historical monitoring period are divided into a plurality of sub-segments.

Optionally, dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments, including:

dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments that are adjacent in time;

The identification of the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

The production state matched by the to-be-monitored signal is identified according to the difference in the data change characteristics of the adjacent sub-segment signals.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

If the plurality of sub-segments have sub-segments whose data changes in opposite directions, it is determined that the to-be-monitored signal is in a fluctuating state.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals, also includes:

If the data of the signals of the plurality of sub-segments becomes larger and the change exceeds a threshold, it is determined that the to-be-monitored signal is in a rising state;

If the data of the signals of the plurality of sub-segments becomes smaller and the change exceeds a threshold, it is determined that the signal to be monitored is in a falling state;

If the data changes of the signals of the plurality of sub-segments do not exceed the threshold, it is determined that the to-be-monitored signal is in a stable state.

Optionally, also include:

If the production state matched by the to-be-monitored signal is a fluctuating state, determine the fluctuation type of the to-be-monitored signal according to the data change characteristics of the multiple sub-segment signals, and the fluctuation type includes: fluctuating rise, fluctuation fall and smooth one of the fluctuations.

Optionally, the determining the data change characteristics of each sub-segment signal includes:

Determine the data change type and data change rate of each sub-segment signal.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

The production state matched by the to-be-monitored signal is identified based on the difference in data change type and data change rate of different sub-segment signals.

Optionally, also include:

generating a production state diagram based on the production state of the signal to be monitored;

The production state matched by the to-be-monitored signal is displayed through the production state diagram.

The embodiments of this specification also provide a device for identifying the state of a signal to be monitored, including:

acquisition module to acquire the signal to be monitored;

A segmentation module, which divides the signal to be monitored into a plurality of sub-segments and determines the data variation characteristics of each sub-segment signal;

The state module uses the state matching rules with steady state, rising state, falling state and fluctuating state to identify the production state matched by the to-be-monitored signal based on the difference of data change characteristics of different sub-segment signals.

Optionally, the obtaining the signal to be monitored includes:

According to the preset monitoring period duration, the to-be-monitored signal of the current monitoring period and the to-be-monitored signal of the historical monitoring period are obtained;

The dividing the signal to be monitored into multiple sub-segments includes:

The to-be-monitored signals of the current monitoring period and the historical monitoring period are divided into a plurality of sub-segments.

Optionally, dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments, including:

dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments that are adjacent in time;

The identification of the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

The production state matched by the to-be-monitored signal is identified according to the difference in the data change characteristics of the adjacent sub-segment signals.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

If the plurality of sub-segments have sub-segments whose data changes in opposite directions, it is determined that the to-be-monitored signal is in a fluctuating state.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals, also includes:

If the data of the signals of the plurality of sub-segments becomes larger and the change exceeds a threshold, it is determined that the to-be-monitored signal is in a rising state;

If the data of the signals of the plurality of sub-segments becomes smaller and the change exceeds a threshold, it is determined that the signal to be monitored is in a falling state;

If the data changes of the signals of the plurality of sub-segments do not exceed the threshold, it is determined that the to-be-monitored signal is in a stable state.

Optionally, the state module is further used for:

If the production state matched by the to-be-monitored signal is a fluctuating state, determine the fluctuation type of the to-be-monitored signal according to the data change characteristics of the multiple sub-segment signals, and the fluctuation type includes: fluctuating rise, fluctuation fall and smooth one of the fluctuations.

Optionally, the determining the data change characteristics of each sub-segment signal includes:

Determine the data change type and data change rate of each sub-segment signal.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

The production state matched by the to-be-monitored signal is identified based on the difference in data change type and data change rate of different sub-segment signals.

Optionally, the state module is further used for:

generating a production state diagram based on the production state of the signal to be monitored;

The production state matched by the to-be-monitored signal is displayed through the production state diagram.

The embodiments of this specification also provide an electronic device, wherein the electronic device includes:

processor; and,

A memory storing computer-executable instructions that, when executed, cause the processor to perform any of the methods described above.

Embodiments of the present specification further provide a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and the one or more programs, when executed by a processor, implement any one of the foregoing methods .

The various technical solutions provided by the embodiments of this specification obtain the signal to be monitored, divide the signal to be monitored into a plurality of sub-segments, and determine the data change characteristics of each sub-segment signal. The difference in the data change characteristics of different sub-segment signals can reflect the to-be-monitored signal Therefore, using the state matching rules with steady state, rising state, falling state and fluctuating state, the production state matched by the signal to be monitored is identified based on the difference of the data change characteristics of different sub-segment signals, so that the signal to be monitored is matched. The identification of the state can take into account the fluctuation state of the signal, so it is more comprehensive.

Description of drawings

The drawings described herein are used to provide further understanding of the present application and constitute a part of the present application. The schematic embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the attached image:

FIG. 1 is a schematic diagram of the principle of a method for identifying a state of a signal to be monitored provided by an embodiment of the present specification;

FIG. 2 is a schematic diagram of the principle of a device for identifying a state of a signal to be monitored provided by an embodiment of the present specification;

3 is a schematic structural diagram of an electronic device according to an embodiment of the present specification;

FIG. 4 is a schematic schematic diagram of a computer readable medium provided by an embodiment of the present specification.

Detailed ways

The analysis of the existing technology shows that the existing methods habitually identify three states: unchanged, rising and falling. However, these three states are only three ideal states, and the actual situation is more complicated, such as the appearance of a signal. Fluctuation, the existing method for identifying the state of the signal to be monitored identifies the fluctuation as a combination of rising and falling, which ignores the fluctuation of the signal.

Therefore, the embodiments of this specification provide a method for identifying the state of a signal to be monitored, including:

Obtain the signal to be monitored;

dividing the to-be-monitored signal into a plurality of sub-segments and determining the data variation characteristics of each sub-segment signal;

Using the state matching rules with steady state, rising state, falling state and fluctuating state, the production state matched by the to-be-monitored signal is identified based on the difference of the data change characteristics of different sub-segment signals.

By acquiring the signal to be monitored, dividing the signal to be monitored into multiple sub-segments and determining the data change characteristics of each sub-segment signal, the difference in the data change characteristics of different sub-segment signals can reflect the fluctuation of the signal to be monitored. The state matching rules of state, rising state, falling state and fluctuating state, based on the difference of the data change characteristics of different sub-segment signals, identify the production state matched by the signal to be monitored, so that the identification of the state of the signal to be monitored can take into account the fluctuation state of the signal, thus more comprehensive.

Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. Exemplary embodiments, however, can be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the inventive concept to those skilled in the art. The same reference numerals in the drawings denote the same or similar elements, components or parts, and thus their repeated descriptions will be omitted.

Features, structures, characteristics or other details described in a particular embodiment do not exclude that they can be combined in a suitable manner in one or more other embodiments, provided that the technical idea is consistent with the present invention.

In the description of specific embodiments, features, structures, characteristics or other details of the present invention are described in order to enable those skilled in the art to fully understand the embodiments. However, it is not excluded that one skilled in the art may practice the technical solutions of the present invention without one or more of the specific features, structures, characteristics or other details.

The flowcharts shown in the figures are only exemplary illustrations and do not necessarily include all contents and operations/steps, nor do they have to be performed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partially combined, so the actual execution order may be changed according to the actual situation.

The block diagrams shown in the figures are merely functional entities and do not necessarily necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices entity.

The term "and/or" or "and/or" includes all combinations of any one or more of the associated listed items.

FIG. 1 is a schematic diagram of the principle of a method for identifying a state of a signal to be monitored according to an embodiment of the present specification, and the method may include:

S101: Acquire a signal to be monitored.

In the embodiments of this specification, the signal to be monitored is a signal acquired by a device to be monitored or a sensor provided in the environment to be monitored.

Specifically, the equipment to be monitored may be a catalytic cracking unit, chemical production equipment, injection molding equipment, etc., and the environment to be monitored may be a sewage pool for water quality to be monitored.

Of course, the above applications are only specific examples, and can also be applied to other fields that need to be monitored, which will not be described in detail here.

In the embodiment of this specification, the monitoring signal may be a signal generated by monitoring physical quantities such as temperature and pressure, for example, a signal obtained by monitoring gasifier pressure data and gasifier temperature.

Considering that in a practical scenario, the collected monitoring signals often appear in the form of fragments. If no fragment is collected and only this fragment is processed, it is easy to isolate the current fragment from the analyzed historical fragment. However, the actual situation For example, if the duration of the segment is too short, a fluctuating signal will be identified as rising and falling multiple times, and the fluctuation state cannot be taken into account. time, then the time interval for identifying the state of the signal to be monitored will be longer.

Therefore, in the embodiments of this specification, in order to improve timeliness and accuracy, the acquiring the signal to be monitored may include:

According to the preset monitoring period duration, the to-be-monitored signal of the current monitoring period and the to-be-monitored signal of the historical monitoring period are acquired.

S102: Divide the to-be-monitored signal into multiple sub-segments and determine the data variation characteristics of the signals of each sub-segment.

In the embodiment of the present specification, after obtaining the signal to be monitored, in order to make it reflect the fluctuation characteristics, we can divide the signal to be monitored into a plurality of sub-segments, and determine the data variation characteristics of each sub-segment signal respectively.

In the embodiment of this specification, in order to improve the authenticity of the identification result, in addition to qualitatively characterizing the data state of the signal, the production state reflected by the signal to be monitored can also be identified in combination with the data change rate of the signal.

Therefore, in this embodiment of the present specification, the determining of the data change characteristics of each sub-segment signal may include:

Determine the data change type and data change rate of each sub-segment signal.

In the embodiment of this specification, if the signal to be monitored is obtained as described in S101, it includes:

According to the preset monitoring period duration, the to-be-monitored signal of the current monitoring period and the to-be-monitored signal of the historical monitoring period are obtained;

Then, dividing the to-be-monitored signal into multiple sub-segments may include:

The to-be-monitored signals of the current monitoring period and the historical monitoring period are divided into a plurality of sub-segments.

In this way, according to the relationship between the data change state of the signal to be monitored in the historical monitoring period and the current monitoring period, the fluctuation of the current monitoring period can be described.

Wherein, dividing the signal to be monitored in the current monitoring period and the historical monitoring period into a plurality of sub-segments may include:

The to-be-monitored signals of the current monitoring period and the historical monitoring period are divided into multiple sub-segments adjacent in time.

Considering the pursuit of better immediacy in the online use process, the shorter the monitoring period, the better, but too short a period of time cannot reflect the overall characteristics of the changes. Therefore, the current monitoring period can be set based on experience.

S103 : Using the state matching rules with steady state, rising state, falling state and fluctuating state, identify the production state matched by the to-be-monitored signal based on the difference in data change characteristics of different sub-segment signals.

By acquiring the signal to be monitored, dividing the signal to be monitored into multiple sub-segments and determining the data change characteristics of each sub-segment signal, the difference in the data change characteristics of different sub-segment signals can reflect the fluctuation of the signal to be monitored. The state matching rules of state, rising state, falling state and fluctuating state, based on the difference of the data change characteristics of different sub-segment signals, identify the production state matched by the signal to be monitored, so that the identification of the state of the signal to be monitored can take into account the fluctuation state of the signal, thus more comprehensive.

In an application scenario, by identifying the production state matched by the signal to be monitored, not only can the signal fluctuate, but also the direction of the signal's fluctuation, and whether the signal's fluctuation exceeds a threshold, so that corresponding measures can be taken.

During the smooth operation of the system, an excessive data change rate means an increased possibility of abnormal situations.

Therefore, the method can also include:

The probability of failure is monitored using the data rate of change.

In the embodiment of the present specification, a state matching rule may be constructed, and data change characteristics are respectively set for the steady state, the rising state, the falling state and the fluctuating state in the state matching rule.

In this way, the data change feature of the signal to be monitored is matched with each data change feature in the state matching rule, and the production state matched by the signal to be monitored can be determined according to the data change feature with the highest matching degree.

Among them, the data change characteristics are respectively set for the stable state, the rising state, the falling state and the fluctuating state in the state matching rule, which may include:

The data change direction and data change rate are respectively set for the steady state, rising state, falling state and fluctuating state in the state matching rule.

In the embodiment of the present specification, the fault threshold of the data change rate may be set separately for the rising state, the falling state and the fluctuating state in the state matching rule.

In this way, the data change rate of the signal to be monitored and the set fault threshold of the data change rate can be directly used to monitor the magnitude of the data change of the signal to be monitored.

Of course, for other forms of description, such as a fault library, its essential function is the same as the fault threshold of the data change rate in the state matching rule in this application. Therefore, this description should also fall within the protection scope of this application. This is not described in detail.

In the embodiment of this specification, if the said current monitoring period and the to-be-monitored signal of the historical monitoring period are divided into multiple sub-segments, including:

dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments that are adjacent in time;

Then, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals may include:

The production state matched by the to-be-monitored signal is identified according to the difference in the data change characteristics of the adjacent sub-segment signals.

Wherein, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

If the plurality of sub-segments have sub-segments whose data changes in opposite directions, it is determined that the to-be-monitored signal is in a fluctuating state.

Of course, the identification of the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals may also include:

If the data of the signals of the plurality of sub-segments becomes larger and the change exceeds a threshold, it is determined that the to-be-monitored signal is in a rising state;

If the data of the signals of the plurality of sub-segments becomes smaller and the change exceeds a threshold, it is determined that the signal to be monitored is in a falling state;

If the data changes of the signals of the plurality of sub-segments do not exceed the threshold, it is determined that the to-be-monitored signal is in a stable state.

Considering that the fluctuation situation is usually reflected as the repetition of multiple changing states, therefore, in the embodiment of this specification, if the multiple sub-segments have sub-segments whose data change directions are opposite, it is determined that the to-be-monitored signal is a fluctuating state, for:

If the data changing direction of the sub-segments on both sides of the plurality of sub-segments is opposite to the data changing direction of the middle sub-segment, it is determined that the to-be-monitored signal is in a fluctuating state.

In a practical application scenario, it can be shown that the conventional method acquires the three-segment signals in turn in three times, and monitors the change states of each segment of the signal: rising, falling, and rising. However, after using the method in the above embodiment, after the third segment signal is acquired, since the change states of the first two segment signals are combined, the fluctuating state can be extracted from it, instead of simply taking the third segment signal The signal is recognized as a rising state.

Considering that in actual scenarios, the actual fluctuations will still be varied, and different fluctuations still require different countermeasures. Therefore, in the embodiments of this specification, in order to further monitor the fluctuations of the signals, the method may also include: :

If the production state matched by the to-be-monitored signal is a fluctuating state, determine the fluctuation type of the to-be-monitored signal according to the data change characteristics of the multiple sub-segment signals, and the fluctuation type includes: fluctuating rise, fluctuation fall and smooth one of the fluctuations.

In the embodiment of this specification, the identification of the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals may include:

The production state matched by the to-be-monitored signal is identified based on the difference in data change type and data change rate of different sub-segment signals.

By identifying the production state matched by the to-be-monitored signal based on the difference in the data change type and data change rate of different sub-segment signals, the data change degree of the signal can be taken into account.

The data change type may be the direction of data change, such as increasing, decreasing, or relatively stable.

Considering an application scenario, we can present the recognition results in the form of a production state diagram.

Therefore, in the embodiments of this specification, it also includes:

generating a production state diagram based on the production state of the signal to be monitored;

The production state matched by the to-be-monitored signal is displayed through the production state diagram.

Specifically, displaying the production state matched to the signal to be monitored by the production state diagram may be a rising state, a steady state, a falling state, and a fluctuating state of the signal to be monitored according to the identification result.

In this way, the operator can timely judge the current production state and the possibility of failure according to the to-be-monitored signal and the identified production state displayed in the production state diagram.

In the embodiments of this specification, each signal segment can be regarded as a basic analysis unit (primitive) during specific implementation. First, the input primitive signal sequence is acquired; the input primitive signal sequence is accumulated; when the acquired primitive signal sequence is When there are multiple signal sequences, there are objective conditions to describe the data change characteristics of the sub-segment signals. At this time, the primitive signal can be processed to eliminate abnormal points; the data change state and change rate in each sub-segment can be calculated. Output the recognition result.

Wherein, before acquiring the input primitive signal sequence, the form of acquiring the primitive signal sequence may be preset, which may include: setting the sub-segment fitting coefficient, the segment length, the primitive to which each sub-segment belongs, the time and time corresponding to each segment. Signal value.

FIG. 2 is a schematic diagram of the principle of an apparatus for identifying a state of a signal to be monitored provided by an embodiment of the present specification, and the apparatus may include:

Obtaining module 201, obtaining the signal to be monitored;

The segmentation module 202 divides the signal to be monitored into a plurality of sub-segments and determines the data variation characteristics of each sub-segment signal;

The state module 203 uses the state matching rules with steady state, rising state, falling state and fluctuating state, and identifies the production state matched by the to-be-monitored signal based on the difference in data change characteristics of different sub-segment signals.

Optionally, the obtaining the signal to be monitored includes:

According to the preset monitoring period duration, the to-be-monitored signal of the current monitoring period and the to-be-monitored signal of the historical monitoring period are obtained;

The dividing the signal to be monitored into multiple sub-segments includes:

The to-be-monitored signals of the current monitoring period and the historical monitoring period are divided into a plurality of sub-segments.

Optionally, dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments, including:

dividing the signals to be monitored in the current monitoring period and the historical monitoring period into multiple sub-segments that are adjacent in time;

The identification of the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

The production state matched by the to-be-monitored signal is identified according to the difference in the data change characteristics of the adjacent sub-segment signals.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

If the plurality of sub-segments have sub-segments whose data changes in opposite directions, it is determined that the to-be-monitored signal is in a fluctuating state.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals, also includes:

If the data of the signals of the plurality of sub-segments becomes larger, it is determined that the to-be-monitored signal is in a rising state;

If the data of the signals of the plurality of sub-segments becomes smaller, it is determined that the to-be-monitored signal is in a falling state.

Optionally, the state module is further used for:

If the production state matched by the to-be-monitored signal is a fluctuating state, determine the fluctuation type of the to-be-monitored signal according to the data change characteristics of the multiple sub-segment signals, and the fluctuation type includes: fluctuating rise, fluctuation fall and smooth one of the fluctuations.

Optionally, the determining the data change characteristics of each sub-segment signal includes:

Determine the data change type and data change rate of each sub-segment signal.

Optionally, identifying the production state matched by the to-be-monitored signal based on the difference in the data change characteristics of different sub-segment signals includes:

The production state matched by the to-be-monitored signal is identified based on the difference in data change type and data change rate of different sub-segment signals.

Optionally, the state module is further used for:

generating a production state diagram based on the production state of the signal to be monitored;

The production state matched by the to-be-monitored signal is displayed through the production state diagram.

The device obtains the signal to be monitored, divides the signal to be monitored into a plurality of sub-segments and determines the data change characteristics of each sub-segment signal. The difference of the data change characteristics of different sub-segment signals can reflect the fluctuation of the signal to be monitored. It has state matching rules of steady state, rising state, falling state and fluctuating state. Based on the difference of data change characteristics of different sub-segment signals, the production state matched by the signal to be monitored is identified, so that the identification of the state of the signal to be monitored can take into account the fluctuation of the signal. state, and thus more comprehensive.

Based on the same inventive concept, the embodiments of this specification also provide an electronic device.

The electronic device embodiments of the present invention are described below, and the electronic device can be regarded as a specific physical implementation of the above-mentioned method and apparatus embodiments of the present invention. The details described in the electronic device embodiments of the present invention should be regarded as supplements to the above method or device embodiments; for details not disclosed in the electronic device embodiments of the present invention, reference may be made to the above method or device embodiments for implementation.

FIG. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present specification. The electronic device 300 according to this embodiment of the present invention is described below with reference to FIG. 3 . The electronic device 300 shown in FIG. 3 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present invention.

As shown in FIG. 3, electronic device 300 takes the form of a general-purpose computing device. Components of the electronic device 300 may include, but are not limited to, at least one processing unit 310, at least one storage unit 320, a bus 330 connecting different system components (including the storage unit 320 and the processing unit 310), a display unit 340, and the like.

Wherein, the storage unit stores program codes, and the program codes can be executed by the processing unit 310, so that the processing unit 310 executes the processing method according to various exemplary embodiments of the present invention described in the above processing method section of this specification. step. For example, the processing unit 310 may perform the steps shown in FIG. 1 .

The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 3201 and/or a cache storage unit 3202 , and may further include a read only storage unit (ROM) 3203 .

The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205 including, but not limited to, an operating system, one or more application programs, other program modules, and programs Data, each or some combination of these examples may include an implementation of a network environment.

The bus 330 may be representative of one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local area using any of a variety of bus structures. bus.

The electronic device 300 may also communicate with one or more external devices 400 (eg, keyboards, pointing devices, Bluetooth devices, etc.), with one or more devices that enable a user to interact with the electronic device 300, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 300 to communicate with one or more other computing devices. Such communication may take place through input/output (I/O) interface 350 . Also, the electronic device 300 may communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network such as the Internet) through a network adapter 360 . The network adapter 360 may communicate with other modules of the electronic device 300 through the bus 330 . It should be appreciated that, although not shown in FIG. 3, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tapes drives and data backup storage systems, etc.

From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described in the present invention may be implemented by software, or may be implemented by software combined with necessary hardware. Therefore, the technical solutions according to the embodiments of the present invention may be embodied in the form of software products, and the software products may be stored in a computer-readable storage medium (which may be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to cause a computing device (which may be a personal computer, a server, or a network device, etc.) to perform the above-described method according to the present invention. When the computer program is executed by a data processing device, the computer-readable medium can implement the above-mentioned method of the present invention, that is, the method shown in FIG. 1 .

FIG. 4 is a schematic schematic diagram of a computer readable medium provided by an embodiment of the present specification.

A computer program implementing the method shown in FIG. 1 may be stored on one or more computer-readable media. The computer-readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

The computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, carrying readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A readable storage medium can also be any readable medium other than a readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural Programming Language - such as the "C" language or similar programming language. The program code may execute entirely on the user computing device, partly on the user device, as a stand-alone software package, partly on the user computing device and partly on a remote computing device, or entirely on the remote computing device or server execute on. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (eg, using an Internet service provider business via an Internet connection).

In summary, the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that, in practice, a general-purpose data processing device such as a microprocessor or a digital signal processor (DSP) may be used to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention can also be implemented as apparatus or apparatus programs (eg, computer programs and computer program products) for performing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such signals may be downloaded from Internet sites, or provided on carrier signals, or in any other form.

The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the present invention is not inherently related to any specific computer, virtual device or electronic device, and various general-purpose devices are also The present invention can be implemented. The above are only specific embodiments of the present invention, and are not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the present invention. within the scope of protection.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments.

The above descriptions are merely examples of the present application, and are not intended to limit the present application. Various modifications and variations of this application are possible for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the scope of the claims of this application.

Claims (16)

1. A method of identifying a condition of a signal to be monitored, comprising:

acquiring a signal to be monitored;

dividing the signal to be monitored into a plurality of sub-segments and determining the data change characteristics of the signals of the sub-segments;

and identifying the production state matched with the signal to be monitored based on the difference of the data change characteristics of different sub-segment signals by using a state matching rule with a stable state, a rising state, a falling state and a fluctuation state.

2. The method of claim 1, wherein the acquiring the signal to be monitored comprises:

acquiring a signal to be monitored in a current monitoring period and a signal to be monitored in a historical monitoring period according to a preset monitoring period duration;

the dividing the signal to be monitored into a plurality of sub-segments includes:

and dividing the signals to be monitored in the current monitoring period and the historical monitoring period into a plurality of sub-segments.

3. The method of claim 2, wherein the dividing the signal to be monitored of the current monitoring period and the historical monitoring period into a plurality of sub-segments comprises:

dividing signals to be monitored in the current monitoring period and the historical monitoring period into a plurality of sub-segments which are adjacent in time;

the identifying the production state matched with the signal to be monitored based on the difference of the data change characteristics of different sub-segment signals comprises the following steps:

and identifying the production state matched with the signal to be monitored according to the difference of the data change characteristics of the adjacent sub-segment signals.

4. The method of claim 3, wherein the identifying the production state matched to the signal to be monitored based on the difference of the data variation characteristics of the different sub-segment signals comprises:

and if the sub-segments with the opposite data change directions exist in the plurality of sub-segments, judging that the signal to be monitored is in a fluctuation state.

5. The method of claim 4, wherein the identifying the production state matched to the signal to be monitored based on the difference in the data change characteristics of the different sub-segment signals further comprises:

if the data of the signals of the plurality of sub-segments become large and the change exceeds a threshold value, judging that the signal to be monitored is in a rising state;

if the data of the signals of the plurality of sub-segments become small and change beyond a threshold value, determining that the signal to be monitored is in a descending state;

and if the data change of the signals of the plurality of sub-segments does not exceed a threshold value, determining that the signal to be monitored is in a stable state.

6. The method of claim 4, further comprising:

if the production state matched with the signal to be monitored is a fluctuation state, determining the fluctuation type of the signal to be monitored according to the data change characteristics of the plurality of sub-segment signals, wherein the fluctuation type comprises: one of a wave rise, a wave fall, and a smooth wave.

7. The method of claim 1, wherein determining the data variation characteristic of each sub-segment signal comprises:

and determining the data change type and the data change rate of each sub-fragment signal.

8. The method of claim 7, wherein the identifying the production state matched to the signal to be monitored based on the difference of the data change characteristics of the different sub-segment signals comprises:

and identifying the production state matched with the signal to be monitored based on the data change types and the data change rates of different sub-fragment signals.

9. The method of claim 1, further comprising:

generating a production state diagram based on the production state of the signal to be monitored;

and displaying the production state matched with the signal to be monitored through the production state diagram.

10. A method apparatus for identifying a condition of a signal to be monitored, comprising:

the acquisition module acquires a signal to be monitored;

the segmentation module is used for dividing the signal to be monitored into a plurality of sub-segments and determining the data change characteristics of the signals of the sub-segments;

and the trend determining module is used for identifying the production state matched with the signal to be monitored based on the difference of the data change characteristics of different sub-segment signals by utilizing a state matching rule with a stable state, a rising state, a falling state and a fluctuation state.

11. The apparatus of claim 10, wherein the acquiring the signal to be monitored comprises:

acquiring a signal to be monitored in a current monitoring period and a signal to be monitored in a historical monitoring period according to a preset monitoring period duration;

the dividing the signal to be monitored into a plurality of sub-segments includes:

and dividing the signals to be monitored in the current monitoring period and the historical monitoring period into a plurality of sub-segments.

12. The apparatus of claim 11, wherein the dividing the signal to be monitored of the current monitoring period and the historical monitoring period into a plurality of sub-segments comprises:

dividing signals to be monitored in the current monitoring period and the historical monitoring period into a plurality of sub-segments which are adjacent in time;

the identifying the production state matched with the signal to be monitored based on the difference of the data change characteristics of different sub-segment signals comprises the following steps:

and identifying the production state matched with the signal to be monitored according to the difference of the data change characteristics of the adjacent sub-segment signals.

13. The apparatus of claim 10, wherein said determining data variation characteristics of each sub-segment signal comprises:

and determining the data change type and the data change rate of each sub-fragment signal.

14. The apparatus of claim 13, wherein the identifying the production state matched to the signal to be monitored based on the difference of the data variation characteristics of the different sub-segment signals comprises:

and identifying the production state matched with the signal to be monitored based on the data change types and the data change rates of different sub-fragment signals.

15. An electronic device, wherein the electronic device comprises:

a processor; and the number of the first and second groups,

a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-9.

16. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-9.

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