CN111835281A

CN111835281A - Solar charging fault detection method and device and readable storage medium

Info

Publication number: CN111835281A
Application number: CN201910843427.0A
Authority: CN
Inventors: 罗霄; 王中帅; 其他发明人请求不公开姓名
Original assignee: Beijing Qisheng Technology Co Ltd
Current assignee: Hangzhou Qingqi Science and Technology Co Ltd
Priority date: 2019-09-06
Filing date: 2019-09-06
Publication date: 2020-10-27
Anticipated expiration: 2039-09-06
Also published as: CN111835281B

Abstract

The application provides a method and a device for detecting a solar charging fault and a readable storage medium, wherein the method comprises the steps of detecting that a solar charging device arranged on a vehicle does not generate overcharge current in a detection period to determine a potential solar charging fault vehicle through acquired vehicle detection data in a to-be-detected area in a current detection period, and further determining that the solar charging device arranged on the potential solar charging fault vehicle does not generate overcharge current in an operation and maintenance period to determine a target solar charging fault vehicle. Like this, through big data analysis, can independently detect whether have the trouble to the electric vehicle that is provided with solar charging device under the condition of not disassembling solar charging device, can effectively reduce the breakage rate of each spare part, be favorable to reducing the detection cost, can also improve fault detection efficiency, increase fault detection's rate of accuracy and precision, help the fortune dimension of follow-up vehicle.

Description

Solar charging fault detection method and device and readable storage medium

Technical Field

The application relates to the technical field of vehicle operation and maintenance, in particular to a method and a device for detecting a solar charging fault and a readable storage medium which stores a reading instruction for an electronic device.

Background

With the progress and development of science and technology, new energy sources, such as wind energy, solar energy, hydroenergy and the like, are more and more widely accepted, and accordingly, the application of the new energy sources is also widely applied, wherein the solar energy is widely concerned due to the characteristics of cleanness, universality, easy use and reproducibility, for example, electric vehicles such as electric cars, electric bicycles and the like based on solar power generation.

However, because the electric vehicle provided with the solar power generation devices such as the solar panel cannot normally work, the faults of the electric vehicle are more and more, and the normal use of the vehicle is affected.

Disclosure of Invention

In view of this, an object of the present application is to provide a method and an apparatus for detecting a solar charging fault, and a readable storage medium, which can analyze a vehicle with the solar charging fault through big data analysis, can realize detection of the solar charging fault without disassembling a solar charging device, effectively reduce a damage rate of each component, facilitate reduction of detection cost, improve fault detection efficiency, increase accuracy and precision of fault detection, and facilitate operation and maintenance of the vehicle.

According to an aspect of the present application, there is provided a method for detecting a solar charging fault, the method including:

acquiring vehicle detection data in a region to be detected in a current detection period;

determining whether a solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data;

determining a vehicle corresponding to a solar charging device which does not generate overcharge current in the current detection period as a potential solar charging failure vehicle;

for each potential solar charging fault vehicle, determining whether a solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods;

and determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

In some embodiments of the present application, after the acquiring vehicle detection data in a region to be detected in a current detection period, the detection method further includes:

checking whether the vehicle detection data meet preset detection conditions or not;

and if the vehicle detection data meet preset detection conditions, executing the step of determining whether the solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data.

In the above embodiment, it may be determined that the vehicle detection data meets the preset detection condition by:

determining a target vehicle, wherein the battery residual capacity in the first operation and maintenance period in the current detection period is greater than a preset residual capacity value, the battery residual capacity in the last operation and maintenance period is less than the preset residual capacity value, and the capacity increase value in any two operation and maintenance periods is greater than a preset capacity change threshold value, based on the vehicle detection data;

and if the ratio of the number of the target vehicles in the total number of all vehicles in the area to be detected is greater than or equal to a preset ratio threshold value, determining that the vehicle detection data meets the preset detection condition.

In some embodiments of the present application, it may be determined that no overcharge current is generated in the vehicle by:

determining first electric quantity change information of the vehicle in the current detection period according to the vehicle detection data;

and if a curve segment indicating continuous rise of the electric quantity does not exist in a first electric quantity change curve of the change of the electric quantity over time indicated by the first electric quantity change information, and/or the first electric quantity change information indicates that no time period in which the charging monitoring current is greater than zero exists in the current detection period, determining that the overcharge current is not generated in the vehicle.

In some embodiments of the present application, it may be determined that no overcharge current is generated in the potentially solar-charged faulty vehicle by:

determining second electric quantity change information of the potential solar charging fault vehicle in each operation and maintenance period according to vehicle operation and maintenance data in each operation and maintenance period in the current detection period;

and if a curve segment indicating continuous rise of electric quantity does not exist in a second electric quantity change curve of the electric quantity changing along with time indicated by the second electric quantity change information and/or the second electric quantity change information indicates a time period within the current detection period when the charging monitoring current is not greater than zero, determining that no overcharge current is generated in the potential solar charging failure vehicle.

In some embodiments of the present application, after determining, as a target solar charging faulty vehicle, a potential solar charging faulty vehicle corresponding to a solar charging device that does not generate a charging current in each operation and maintenance cycle, the detection method further includes:

detecting whether each target solar charging fault vehicle has a corresponding historical travel order or not in the current detection period;

determining a target electric quantity change value of each target solar charging fault vehicle with a corresponding historical travel order in the current detection period based on the electric quantity change information of each target solar charging fault vehicle indicated by the vehicle detection data;

screening out a preset number of target solar charging fault vehicles from a plurality of target solar charging fault vehicles with corresponding historical travel orders according to the sequence of the target electric quantity change values from high to low;

and determining the screened target solar charging fault vehicles with the preset number and the target solar charging fault vehicles which do not correspond to the historical travel orders in the current detection period as the to-be-operated and maintained vehicles needing to be processed preferentially.

In the above embodiment, the preset number may be determined by:

acquiring the number of operation and maintenance personnel in the area to be detected;

determining the number of vehicles of the target solar charging failure vehicle which does not correspond to the historical travel order in the current detection period;

and determining the quantity difference between the number of the operation and maintenance personnel and the number of the vehicles as the preset quantity.

In the above embodiment, after the target solar charging faulty vehicles with the preset number are screened out from the multiple target solar charging faulty vehicles with the corresponding historical travel orders according to the sequence from high to low of the target electric quantity change value, the detection method includes:

and according to the sequence of the target electric quantity change value from high to low, performing maintenance priority grouping on the remaining target solar charging fault vehicles, wherein the remaining target solar charging fault vehicles are other target solar charging fault vehicles except the screened target solar charging fault vehicles in the plurality of target solar charging fault vehicles with corresponding historical travel orders, and the number of the vehicles in each group is less than or equal to the number of the operation and maintenance personnel.

In the above embodiment, after the grouping of the maintenance priorities in the remaining target solar charging faulty vehicles in the order of the target power variation value from high to low, the detection method includes:

according to the time sequence, deleting the vehicle operation and maintenance data of the first operation and maintenance period in the current detection period, and adding the vehicle operation and maintenance data in the next operation and maintenance period after the current detection period into the vehicle detection data to form an updated current detection period and updated vehicle detection data in the updated current detection period;

detecting a target solar charging failure vehicle in the area to be detected in the updated current detection period based on the updated vehicle detection data;

and using the target solar charging faulty vehicle in the updated current detection period to calibrate the target solar charging faulty vehicle in the first priority vehicle group obtained after the maintenance priority group is divided into the maintenance priority group.

acquiring third electric quantity change information of each fault-free vehicle in the area to be detected in each operation and maintenance cycle from the vehicle detection data, wherein the fault-free vehicle is other vehicles except the target solar charging fault vehicle in the plurality of vehicles in the area to be detected;

and determining a charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity change information of each non-faulty vehicle.

In the above-described embodiment, the determining a charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric-quantity change information of each non-faulty vehicle includes:

generating a third electric quantity change curve of the electric quantity of each fault-free vehicle in each operation and maintenance period along with the change of the time based on the third electric quantity change information of each fault-free vehicle;

and determining that a curve section indicating continuous rising of the electric quantity exists in the third electric quantity change curve, the curve slope corresponding to the rising section curve is smaller than a preset slope threshold, and/or the fault-free vehicle of which the charging monitoring current indicated by the third electric quantity change information is smaller than a preset current threshold is an abnormal charging vehicle of which the solar charging device is blocked.

According to another aspect of the present application, there is provided a solar charging failure detection apparatus, including:

the vehicle data acquisition module is used for acquiring vehicle detection data in a region to be detected in a current detection period;

the first current detection module is used for determining whether a solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data;

the potential vehicle determining module is used for determining a vehicle corresponding to the solar charging device which does not generate the overcharge current in the current detection period as a potential solar charging fault vehicle;

the second current detection module is used for determining whether the solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle for each potential solar charging fault vehicle; the current detection period comprises a plurality of operation and maintenance periods;

and the failure vehicle determination module is used for determining a potential solar charging failure vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as a target solar charging failure vehicle.

In some embodiments of the present application, the detection apparatus further includes a condition checking module, where the condition checking module is configured to:

In the above embodiment, the condition verifying module determines that the vehicle detection data meets the preset detection condition by:

In some embodiments of the present application, the first current detection module is configured to determine that no overcharge current is generated in the vehicle by:

In some embodiments of the present application, the second current detection module is configured to determine that no overcharge current is generated in the potentially solar charging faulty vehicle by:

In some embodiments of the present application, the detection device further comprises an operation and maintenance vehicle determination module, the operation and maintenance vehicle determination module is configured to:

In the above embodiment, when the operation and maintenance vehicle determination module screens out a preset number of target solar charging faulty vehicles from a plurality of target solar charging faulty vehicles having corresponding historical travel orders in an order from a high target electric quantity change value to a low target electric quantity change value, the operation and maintenance vehicle determination module may be configured to determine the preset number by:

In the above embodiment, the detection apparatus further includes a vehicle grouping module, and the vehicle grouping module is configured to:

In the above embodiment, the detection apparatus further includes a packet calibration module, where the packet calibration module is configured to:

In some embodiments of the present application, the detection device further comprises:

the electric quantity change detection module is used for acquiring third electric quantity change information of each fault-free vehicle in the area to be detected in each operation and maintenance cycle from the vehicle detection data, wherein the fault-free vehicle is other vehicles except the target solar charging fault vehicle in the plurality of vehicles in the area to be detected;

and an abnormal vehicle determination module for determining a charging abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity variation information of each non-faulty vehicle.

In the above-described embodiment, the abnormal vehicle determination module, in a case where the abnormal vehicle determination module is configured to determine a charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity change information of each non-faulty vehicle, is further configured to:

An embodiment of the present application further provides an electronic device, including: the solar charging failure detection method comprises a processor, a memory and a bus, wherein the memory stores machine readable instructions executable by the processor, the processor and the memory are communicated through the bus when an electronic device runs, and the machine readable instructions are executed by the processor to execute the steps of the solar charging failure detection method.

The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for detecting a solar charging fault are performed as described above.

The method, the device and the readable storage medium for detecting the solar charging fault, provided by the embodiment of the application, can acquire vehicle detection data in a region to be detected in a current detection period; determining whether a solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data; determining a vehicle corresponding to a solar charging device which does not generate overcharge current in the current detection period as a potential solar charging failure vehicle; for each potential solar charging fault vehicle, determining whether a solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods; and determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

Compared with the prior art, the method and the device have the advantages that the vehicle detection data in the to-be-detected area in the current detection period can be acquired, whether the solar charging device arranged on the vehicle generates the overcharge current or not in the detection period is determined according to the vehicle detection data, and the target solar charging fault vehicle is determined according to whether the overcharge current is generated or not. Like this, through big data analysis, can detect whether there is the trouble electric vehicle that is provided with solar charging device under the condition of not disassembling solar charging device to can effectively reduce the breakage rate of each spare part, be favorable to reducing the detection cost, can also improve fault detection efficiency, increase fault detection's rate of accuracy and precision, help the fortune of follow-up vehicle to maintain.

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic structural diagram of a solar charging fault detection system according to an embodiment of the present disclosure;

fig. 2 is a flowchart of a method for detecting a solar charging fault according to an embodiment of the present disclosure;

fig. 3 is a flowchart of another method for detecting a solar charging fault according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a solar charging failure detection apparatus according to an embodiment of the present disclosure;

fig. 5 is a second schematic structural diagram of a solar charging failure detection apparatus according to an embodiment of the present disclosure;

fig. 6 is a third schematic structural diagram of a solar charging failure detection apparatus according to an embodiment of the present disclosure;

fig. 7 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.

In order to enable those skilled in the art to use the present disclosure, the following embodiments are given in conjunction with a specific application scenario "detecting whether there is a solar charging failure in an electric vehicle provided with a solar charging device". It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application is described primarily in the context of detecting a malfunctioning solar charging faulty vehicle where a solar charging vehicle is present, it should be understood that this is only one exemplary embodiment.

It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.

One aspect of the present application relates to a solar charging fault detection system. The system can detect whether the solar charging device generates overcharge current or not through acquiring vehicle detection data of an area to be detected in a current detection period and detecting whether the solar charging device generates overcharge current or not through electric quantity change in the vehicle according to the vehicle detection data, so that the potential solar charging fault vehicle and a target solar charging fault vehicle in the potential solar charging fault vehicle are detected.

It is worth noting that prior to this application, the present solar panel detection technology adopts the manual work to detect the solar panel fault from the physical mode more, and the detection cost is high, and the detection efficiency is low, and the accuracy and the precision of fault detection are not enough. However, according to the method for detecting the solar charging fault, the potential solar charging fault vehicle can be determined according to the acquired vehicle detection data of the area to be detected in the current detection period, and then the target solar charging fault vehicle can be determined according to the vehicle operation and maintenance data of the potential solar charging fault vehicle. Like this, can have the vehicle of solar charging trouble through big data analysis, can accomplish the detection under the condition of not disassembling solar charging device, can effectively reduce the breakage rate of each spare part, be favorable to reducing the detection cost, can also improve fault detection efficiency, increase fault detection's rate of accuracy and precision, help the fortune of follow-up vehicle to maintain.

Fig. 1 is a schematic structural diagram of a solar charging fault detection system according to an embodiment of the present disclosure. For example, the detection system of solar charging failure may be an online transportation service platform for transportation services such as taxi cab, designated driving service, express, carpool, bus service, driver rental, or regular service, or any combination thereof. The system for detecting solar charging failure may include one or more of a server 110, a network 120, a service requester 130, a service provider 140, and a database 150.

In some embodiments, the server 110 may include a processor. The processor may process information and/or data related to the service request to perform one or more of the functions described herein. For example, the processor may determine the target vehicle based on a service request obtained from the service requester 130. In some embodiments, a processor may include one or more processing cores (e.g., a single-core processor (S) or a multi-core processor (S)). Merely by way of example, a Processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Set Processor (ASIP), a Graphics Processing Unit (GPU), a Physical Processing Unit (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), a controller, a microcontroller Unit, a reduced Instruction Set computer (reduced Instruction Set computer), a microprocessor, or the like, or any combination thereof.

In some embodiments, the device types corresponding to the service request end 130 and the service providing end 140 may be mobile devices, such as smart home devices, wearable devices, smart mobile devices, virtual reality devices, or augmented reality devices, and the like, and may also be tablet computers, laptop computers, or built-in devices in motor vehicles, and the like.

In some embodiments, a database 150 may be connected to the network 120 to communicate with one or more components in the solar charging failure detection system (e.g., the server 110, the service requester 130, the service provider 140, etc.). One or more components in the solar charging failure detection system may access data or instructions stored in the database 150 via the network 120. In some embodiments, the database 150 may be directly connected to one or more components in the solar charging failure detection system, or the database 150 may be part of the server 110.

The following describes in detail a method for detecting a solar charging fault according to an embodiment of the present application with reference to the content described in the system for detecting a solar charging fault shown in fig. 1.

Referring to fig. 2, fig. 2 is a flowchart of a method for detecting a solar charging failure according to an embodiment of the present application, where the method may be executed by one or more processors in the detection system, and as shown in fig. 2, the specific execution process is as follows:

s201, vehicle detection data in a region to be detected in the current detection period are obtained.

In this step, when vehicle fault detection is required, vehicle detection data in a region to be detected, which is desired to be detected in a current detection cycle, is acquired first.

The vehicle detection data may be overall detection data corresponding to a current detection period in the area to be detected, is composed of data detected by each detection time node in the current detection period, and may include vehicle detection data corresponding to each of a plurality of vehicles in the area to be detected.

The vehicle detection data may include electric quantity information, electric quantity variation, current information, current variation, and the like of each vehicle in the area to be detected in the current detection period.

For example, if a current detection period is 5 days, the time span of the current detection period is large, and therefore the interval between each detection time node is also large, for example, a detection node is one day, then the vehicle detection data may be data of the vehicle detected at the time corresponding to each detection time node, for example, data acquired by detection at 0 point of each day.

To avoid the heavy processing of large amounts of data, the vehicle inspection data may be relatively coarse to generally show the operation and maintenance of the vehicle.

And S202, determining whether the solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data.

In this step, after the vehicle detection data is obtained, data corresponding to each vehicle in the vehicle detection data may be analyzed, so that whether the solar charging device disposed on each vehicle generates overcharge current in the area to be detected may be determined through comprehensive information such as electric quantity, current, and the like.

Specifically, in the present embodiment, it may be determined that no overcharge current is generated in the vehicle by:

determining first electric quantity change information of the vehicle in the current detection period according to the vehicle detection data; and if a curve segment indicating continuous rise of the electric quantity does not exist in a first electric quantity change curve of the change of the electric quantity over time indicated by the first electric quantity change information, and/or the first electric quantity change information indicates that no time period in which the charging monitoring current is greater than zero exists in the current detection period, determining that the overcharge current is not generated in the vehicle.

The first electric quantity variation curve may be an electric quantity variation curve drawn by the electric quantity of the vehicle detected at each detection time node in the current detection cycle, that is, the electric quantity value of the vehicle in each operation and maintenance cycle (one detection node is arranged in each operation and maintenance cycle, and the electric quantity of the vehicle is detected at the detection node as the whole electric quantity in the corresponding operation and maintenance cycle). The first charge variation curve may be a charge variation of a battery in the vehicle with respect to time. The curve segment indicating that the electric quantity continuously rises in the first electric quantity change curve may be that, in the first electric quantity change curve, the slope of the slope at a point on the corresponding curve is greater than 0, which indicates that there is a portion in the curve where the trend of the curve is rising, that is, there is a rising trend of the electric quantity, and the state of the electric quantity is rising.

The charging monitoring current may refer to a current monitoring device arranged on the vehicle or the solar charging device, so that the battery of the vehicle is charged by using the charging current, or charging information such as corresponding charging current and time is recorded when the solar charging device generates current, and the charging information can be transmitted to a background. For example, in a vehicle, a solar energy charging device such as a solar panel is connected to a charging management module, such as a charging management chip, in the vehicle through a connection line, and then the charging management module is connected to a battery, so as to charge the battery through the solar energy charging device, so that a current detection module, such as a current detection chip MCU, may be provided, and the MCU and the charging chip may be connected through an I2C (Inter-Integrated Circuit, I2C) bus, when the solar energy charging device generates a charging current, and when the battery is charged through the charging management module, the MCU may monitor the charging current, and may record information such as the magnitude, time, and charging state of the charging current, and upload the detected data to a database at the back end of a server through a network communication module through the MCU for storage, thereby extracting corresponding information from the stored vehicle detection data during use, to obtain information about the charge monitoring current.

And S203, determining the vehicle corresponding to the solar charging device which does not generate the overcharge current in the current detection period as the potential solar charging fault vehicle.

In this step, after the charging current corresponding to each vehicle is detected through the vehicle detection data, if there is a vehicle without a corresponding charging current, it may be preliminarily considered that there may be a problem with these vehicles, that is, a vehicle that does not generate an overcharge current in the solar charging device may be determined as a potential solar charging failure vehicle.

S204, aiming at each potential solar charging fault vehicle, determining whether the solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods.

In this step, after the potential solar charging faulty vehicle is determined, the preliminarily determined potential solar charging faulty vehicle may be further determined, so as to provide accuracy of fault detection, specifically, vehicle operation and maintenance data of each potential solar charging faulty vehicle in each operation and maintenance cycle may be obtained first, and thus, whether the solar charging device on each potential solar charging faulty vehicle generates overcharge current in each operation and maintenance cycle is analyzed through the vehicle operation and maintenance data of each vehicle.

The vehicle operation and maintenance cycle may refer to corresponding detection data of the vehicle at each detection time in each operation and maintenance cycle.

Wherein, a plurality of operation and maintenance cycles can be included in the current detection cycle, and if the overall change of the current and the electric quantity of each vehicle in the current detection cycle is not obvious, the change quantity of the electric quantity information and the like in the operation and maintenance cycle after the current detection cycle is divided is more precise and obvious.

For example, in the above example, 5 days are taken as a current detection period, the time span of the current detection period is large, the interval between each detection time node is also large, and correspondingly, 1 day can be taken as an operation and maintenance period, and the time span of the operation and maintenance period is not large, so that the interval between each detection time node is also small, for example, one hour is taken as one detection node, then the vehicle operation and maintenance data can be data of the vehicle detected at the time corresponding to each detection time node, for example, the data is acquired through detection at the whole time every day, so that the vehicle operation and maintenance data can be finer, the accuracy is higher, and the data change of the vehicle can be recorded in detail.

The time span of data monitoring and recording is small, and the precision of vehicle data or information change which can be expressed by the vehicle operation and maintenance data is higher than that of vehicle detection data, so that the vehicle operation and maintenance data can be used for carrying out secondary screening on potential solar charging fault vehicles.

Specifically, it may be determined that no overcharge current is generated in the potentially solar charging faulty vehicle by:

determining second electric quantity change information of the potential solar charging fault vehicle in each operation and maintenance period according to vehicle operation and maintenance data in each operation and maintenance period in the current detection period; and if a curve segment indicating continuous rise of electric quantity does not exist in a second electric quantity change curve of the electric quantity changing along with time indicated by the second electric quantity change information and/or the second electric quantity change information indicates a time period within the current detection period when the charging monitoring current is not greater than zero, determining that no overcharge current is generated in the potential solar charging failure vehicle.

The second electric quantity variation curve may be an electric quantity variation curve drawn by setting a plurality of monitoring nodes in each operation and maintenance cycle so as to monitor the electric quantity of the vehicle at each monitoring node through the electric quantity of the vehicle monitored by each monitoring node in the operation and maintenance cycle. The second charge variation curve may be a charge variation of a battery in the vehicle with respect to time.

The curve segment indicating that the electric quantity continuously rises in the second electric quantity change curve may be that, in the second electric quantity change curve, the slope of the slope at a point on the corresponding curve is greater than 0, which indicates that there is a portion in the curve where the trend of the curve is rising, that is, there is a rising trend of the electric quantity, and the electric quantity is in a rising situation.

And S205, determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

In this step, the determined potential solar charging faulty vehicle which does not generate charging current in each operation and maintenance period may be determined as the target solar charging faulty vehicle in the area to be detected.

Therefore, through double verification, the vehicle actually having the solar charging fault can be accurately detected, and the detection accuracy is high.

According to the method for detecting the solar charging fault, vehicle detection data in a region to be detected in a current detection period are obtained; determining whether a solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data; determining a vehicle corresponding to a solar charging device which does not generate overcharge current in the current detection period as a potential solar charging failure vehicle; for each potential solar charging fault vehicle, determining whether a solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods; and determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

Compared with the prior art, this application can be through the vehicle detection data in the current detection cycle of waiting to detect the region that acquires, according to whether the solar charging device who sets up on the vehicle produces overcharge current in the detection cycle is confirmed to the vehicle detection data to whether produce overcharge current and confirm target solar charging trouble vehicle, can have solar charging trouble vehicle through big data analysis, can accomplish the detection under the condition of not disassembling solar charging device, can effectively reduce the breakage rate of each spare part, be favorable to reducing the detection cost, can also improve fault detection efficiency, increase fault detection's accuracy and precision, help the fortune dimension of follow-up vehicle.

Referring to fig. 3, fig. 3 is a flowchart of another method for detecting a solar charging fault according to an embodiment of the present application, where the method may be executed by one or more processors in a system for detecting a solar charging fault, and as shown in fig. 3, the specific execution process is as follows:

s301, vehicle detection data in the area to be detected in the current detection period are obtained.

S302, checking whether the vehicle detection data meet preset detection conditions.

For example, if there is a cloudy day or rain continuously, the solar charging device on the vehicle may not be charged due to insufficient sunlight, rather than a failure, so that the acquired vehicle detection data is not favorable for subsequently determining the solar charging failure, and erroneous determination is likely to occur, and therefore the vehicle detection data may be checked first to determine whether the vehicle detection data meets the preset detection condition.

And S303, if the vehicle detection data meet the preset detection conditions, executing the step of determining whether the solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data.

In this step, if the vehicle detection data is verified to obtain that the vehicle detection data meets the preset detection condition, the detected vehicle detection data may be considered to be accurate, other interference factors may be basically eliminated, and the method may be used for detecting the solar charging fault, so that the step of determining whether the solar charging device provided on each vehicle generates the overcharge current in the current detection period according to the vehicle detection data may be performed to start data analysis to start detection of the vehicle having the solar charging fault.

And S304, determining whether the solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data.

And S305, determining the vehicle corresponding to the solar charging device which does not generate the overcharge current in the current detection period as the potential solar charging fault vehicle.

S306, aiming at each potential solar charging fault vehicle, determining whether the solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods.

And S307, determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

The descriptions of step S301 and steps S304 to S307 may refer to the descriptions of steps S201 to S205, and the same technical effect may be achieved, which is not described herein again.

Further, the detection method may determine that the vehicle detection data meets the preset detection condition by:

determining a target vehicle, wherein the battery residual capacity in the first operation and maintenance period in the current detection period is greater than a preset residual capacity value, the battery residual capacity in the last operation and maintenance period is less than the preset residual capacity value, and the capacity increase value in any two operation and maintenance periods is greater than a preset capacity change threshold value, based on the vehicle detection data; and if the ratio of the number of the target vehicles in the total number of all vehicles in the area to be detected is greater than or equal to a preset ratio threshold value, determining that the vehicle detection data meets the preset detection condition.

In this step, the electric quantity of each vehicle in the current detection period may be analyzed according to the vehicle detection data, the remaining battery quantity of each vehicle in the first operation and maintenance period in the current detection period, the remaining battery quantity of each vehicle in the last operation and maintenance period in the current detection period may be determined from the vehicle detection data, and the electric quantity increase value of each vehicle in each operation and maintenance period may be determined from the monitored current information in the vehicle detection data (whether the electric quantity of the vehicle has increased may be determined by the monitored electric quantity of the vehicle at each time in each operation and maintenance period, and the specific electric quantity value of the increase may be, for example, a difference between the maximum value (the electric quantity has a value after the increase) and the minimum value of the electric quantity of the battery in the vehicle in each operation and maintenance period, obtaining an electric quantity increment value), if the fact that the residual electric quantity of the battery in the first operation and maintenance period is larger than a preset residual electric quantity value is known through screening and comparison, the residual electric quantity of the battery in the last operation and maintenance period is smaller than the preset residual electric quantity value, and if the electric quantity increment values in any two operation and maintenance periods are larger than a preset electric quantity change threshold value, the number of the target vehicles can be further determined, and if the number of the target vehicles accounts for a ratio in the total number of all vehicles in the area to be detected and is larger than or equal to a preset ratio threshold value, the vehicle detection data can be considered to be in accordance with the preset detection condition.

The preset residual electric quantity value can be 90% of the electric quantity of the vehicle battery, the electric quantity increasing value can be 10%, 15% or 20% of the electric quantity of the vehicle battery, and the ratio can be 10% of the total quantity of the vehicles.

Therefore, the vehicle detection data can be screened to a certain extent, so that the accuracy of detecting the solar charging fault through the vehicle detection data in the follow-up process can be improved, and certain data noise is reduced.

In order to reduce the data processing amount and reduce the data noise, the data can be preliminarily screened in the process of detecting that the vehicle inspection data conforms to the preset detection condition, and vehicles with the power consumption always higher than the preset residual power value are screened out, for example, vehicles with the power consumption larger than the preset residual power value in the first operation and maintenance period and the power consumption larger than the preset residual power value in the last operation and maintenance period can be considered to have a normal charging function, subsequent detection can not be performed, and therefore vehicle detection data of the vehicles can be eliminated.

Correspondingly, if the vehicle detection data in the current detection period do not meet the preset detection condition, the vehicle detection data in the current detection period can be backed for 1 operation and maintenance period forward in the current detection period, for example, pushed forward for one day, and the corresponding vehicle detection data is judged until the vehicle detection data in the current detection period meeting the preset detection condition is found, and if the current detection period is pushed backward for multiple times continuously, for example, after 15 days are continuously pushed, the corresponding vehicle detection data cannot meet the preset detection condition, it can be considered that the detection cannot be performed due to other reasons, for example, continuous sunny weather, and the like, so that the detection can be stopped.

Further, after step 307, the detecting method further includes:

detecting whether each target solar charging fault vehicle has a corresponding historical travel order or not in the current detection period; determining a target electric quantity change value of each target solar charging fault vehicle with a corresponding historical travel order in the current detection period based on the electric quantity change information of each target solar charging fault vehicle indicated by the vehicle detection data; screening out a preset number of target solar charging fault vehicles from a plurality of target solar charging fault vehicles with corresponding historical travel orders according to the sequence of the target electric quantity change values from high to low; and determining the screened target solar charging fault vehicles with the preset number and the target solar charging fault vehicles which do not correspond to the historical travel orders in the current detection period as the to-be-operated and maintained vehicles needing to be processed preferentially.

In this step, after the target solar charging faulty vehicles are determined, whether corresponding historical travel orders exist in the current detection period of each target solar charging faulty vehicle, that is, whether the target solar charging faulty vehicle is used in the current detection period of each target solar charging faulty vehicle may be detected, then, according to the power change information of each target solar charging faulty vehicle indicated by the vehicle detection data, the target solar charging faulty vehicles with the historical travel orders, that is, the used target solar charging faulty vehicles, the target power change values in the current detection period of each target solar charging faulty vehicle may be determined, then, the target power change values of the target solar charging faulty vehicles with the historical travel orders may be arranged in order from high to low, and a preset number of target solar charging faulty vehicles may be screened out from a plurality of target solar charging faulty vehicles with historical travel orders, and determining the screened target solar charging fault vehicles with the preset number and the target solar charging fault vehicles without corresponding historical travel orders in the current detection period as the to-be-operated and maintained vehicles needing to be subjected to priority processing.

The target solar charging failure vehicle without the historical travel order has solar charging failure, and the vehicle does not have the historical travel order in the current detection period, so that the vehicle cannot be used due to the existence of parking positions, the failure of the vehicle and the like, and therefore the vehicle also needs to be processed preferentially.

Further, the detection method may determine the preset number by:

acquiring the number of operation and maintenance personnel in the area to be detected; determining the number of vehicles of the target solar charging failure vehicle which does not correspond to the historical travel order in the current detection period; and determining the quantity difference between the number of the operation and maintenance personnel and the number of the vehicles as the preset quantity.

In this step, when the preset number is determined, firstly, the number of operation and maintenance personnel in the area to be detected is obtained, the number of vehicles of target solar charging faulty vehicles without corresponding historical travel orders in the current detection period is determined, the number of the operation and maintenance personnel is subtracted from the number of the vehicles, a number difference value between the number of the operation and maintenance personnel and the number of the vehicles is obtained, and the difference value is determined as the preset number.

The number of the operation and maintenance personnel in the area to be detected may be the maximum number of the operation and maintenance personnel capable of maintaining the vehicle in the area to be detected.

Therefore, by referring to the number of operation and maintenance personnel in the area to be detected, the operation and maintenance capacity in the area to be detected can be integrated, and the vehicles with faults can be divided, so that the maximum efficiency of operation and maintenance can be ensured.

Further, after a preset number of target solar charging faulty vehicles are screened from a plurality of target solar charging faulty vehicles with corresponding historical travel orders according to the sequence from high to low of the target electric quantity change value, the detection method includes:

In the step, after the vehicles to be operated and maintained, which need to be subjected to priority processing, are determined, the remaining target solar charging failure vehicles can be grouped according to the sequence of the target electric quantity change values from high to low, so that priority groups which need to be maintained are divided, the number of the operation and maintenance personnel can be combined, the number of the operation and maintenance personnel is used as a group definition, the number of the vehicles in each group is smaller than or equal to the number of the operation and maintenance personnel, and the operation and maintenance capacity of the area to be detected cannot be exceeded.

The remaining target solar charging faulty vehicles are other target solar charging faulty vehicles except the screened target solar charging faulty vehicle in the plurality of target solar charging faulty vehicles with corresponding historical travel orders.

Preferably, the number of vehicles in each group is equal to the number of maintenance personnel.

The number of the remaining target solar charging faulty vehicles is random, and when the number of the target solar charging faulty vehicles in the last group is found to be small after grouping, and the number of the target solar charging faulty vehicles in the last group is less than one group, the target solar charging faulty vehicles with the insufficient number may not follow the fact that the number of the vehicles in the group is the same as the number of the operation and maintenance personnel, but the target solar charging faulty vehicles with the insufficient number may be individually used as one group, or the target solar charging faulty vehicles originally corresponding to the last group may be divided into the upper group or evenly distributed into other groups.

Illustratively, the remaining target solar charging faulty vehicles are divided into L1, L2 and L3 groups, there are 70 remaining target solar charging faulty vehicles, and there are only 30 operation and maintenance personnel in the area to be detected, then after sorting according to the target charge variation value from high to low, the target solar charging faulty vehicles ranked in the top 30 are divided into L1 groups and target solar charging faulty vehicles ranked in 31-60 into L2 groups, and since there are only 10 remaining target solar charging faulty vehicles, the number of the remaining target solar charging faulty vehicles is smaller than that of 30 operation and maintenance personnel, so that the remaining 10 solar charging faulty vehicles are divided into L3 groups, and can also be allocated into L1 groups and/or L2 groups.

Further, after the grouping of the maintenance priorities in the remaining target solar charging faulty vehicles in the order of the target electric quantity variation value from high to low, the detection method further includes:

according to the time sequence, deleting the vehicle operation and maintenance data of the first operation and maintenance period in the current detection period, and adding the vehicle operation and maintenance data in the next operation and maintenance period after the current detection period into the vehicle detection data to form an updated current detection period and updated vehicle detection data in the updated current detection period; detecting a target solar charging failure vehicle in the area to be detected in the updated current detection period based on the updated vehicle detection data; and using the target solar charging faulty vehicle in the updated current detection period to calibrate the target solar charging faulty vehicle in the first priority vehicle group obtained after the maintenance priority group is divided into the maintenance priority group.

In this step, after maintenance priority grouping is performed on the remaining target solar charging faulty vehicles, vehicle operation and maintenance data corresponding to a first operation and maintenance cycle in a current detection cycle may be deleted according to a time sequence, and vehicle operation and maintenance data corresponding to a subsequent operation and maintenance cycle of a last operation and maintenance cycle in the current detection cycle may be added to the vehicle operation and maintenance data, so as to form an updated current detection cycle and updated vehicle operation and maintenance data; after the updated current detection period and the updated vehicle operation and maintenance data are obtained, detecting the target solar charging failure vehicle in the area to be detected in the updated current detection period based on the updated vehicle operation and maintenance data; and using the target solar charging fault vehicle in the area to be detected in the updated current detection period to calibrate the target solar charging fault vehicle which is originally in the vehicle group with the first priority and is obtained after the priority group is maintained.

For example, assuming that the current detection period is a week time from "monday to sunday", where the operation and maintenance period is one day, that is, the first operation and maintenance period is "monday", the second operation and maintenance period is "tuesday", and the like, the corresponding vehicle operation and maintenance data of the first operation and maintenance period "monday" in the current detection period is deleted according to the time sequence, and the vehicle operation and maintenance data of the last operation and maintenance period, which is "monday" after the operation and maintenance period "sunday" in the current detection period, is added to the vehicle detection data, so as to perform the determination of the target solar charging faulty vehicle again through the new vehicle detection data, thereby calibrating the target solar charging faulty vehicle in the vehicle group with the first priority, which is determined to be preferentially processed.

Further, after step 307, the detecting method further includes:

acquiring third electric quantity change information of each fault-free vehicle in the area to be detected in each operation and maintenance cycle from the vehicle detection data, wherein the fault-free vehicle is other vehicles except the target solar charging fault vehicle in the plurality of vehicles in the area to be detected; and determining a charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity change information of each non-faulty vehicle.

In this step, after the target solar charging failure vehicle is determined, third electric quantity change information of each non-failure vehicle in the area to be detected in each operation and maintenance cycle in the current detection cycle may be acquired from the vehicle detection data, and then a charging abnormal vehicle in the non-failure vehicles in the area to be detected is determined based on the third electric quantity change information of each non-failure vehicle.

Wherein the fault-free vehicle is a vehicle other than the target solar charging fault vehicle among the plurality of vehicles in the area to be detected in the current detection period.

The vehicle with abnormal charging may be a vehicle corresponding to a solar charging device which has no charging fault but has a charging capability not meeting a normal charging capability.

Further, the determining a charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity change information of each non-faulty vehicle includes:

generating a third electric quantity change curve of the electric quantity of each fault-free vehicle in each operation and maintenance period along with the change of the time based on the third electric quantity change information of each fault-free vehicle; and determining that a curve section indicating continuous rising of the electric quantity exists in the third electric quantity change curve, the curve slope corresponding to the rising section curve is smaller than a preset slope threshold, and/or the fault-free vehicle of which the charging monitoring current indicated by the third electric quantity change information is smaller than a preset current threshold is an abnormal charging vehicle of which the solar charging device is blocked.

In this step, a corresponding third electric quantity change curve of the multiple non-faulty vehicles in each operation and maintenance cycle can be generated through the electric quantity indicated in the third electric quantity change message of each non-faulty vehicle, and the third electric quantity change curve is analyzed through curve drawing and other modes, so that a non-faulty vehicle in which the curve segment indicating continuous rise of the electric quantity exists in the third electric quantity change curve, the slope of the curve corresponding to the rise segment curve is smaller than a preset slope threshold, and/or the charging monitoring electric quantity indicated in the third electric quantity change information is smaller than the preset electric quantity threshold can be determined as a charging abnormal vehicle with the solar charging device shielded.

According to actual verification, the charging capacity of the solar charging device is influenced to a certain extent due to different shielding conditions, for example, advertisements are pasted on the charging capacity, or the charging capacity of the solar charging device is influenced to a certain extent due to shielding of shady objects such as tree shadows, so that the shielded charging abnormal vehicle can be determined according to the slope of an electric quantity curve and the like, and the specific shielded situation of the solar charging device can be determined according to the slope and the size of monitoring current when an exact corresponding relation exists.

According to the method for detecting the solar charging fault, vehicle detection data in a region to be detected in a current detection period are obtained; checking whether the vehicle detection data meet preset detection conditions or not; if the vehicle detection data meet preset detection conditions, executing the step of determining whether the solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data; determining whether a solar charging device arranged on a vehicle generates overcharge current in the current detection period according to the vehicle detection data; determining a vehicle corresponding to a solar charging device which does not generate overcharge current in the current detection period as a potential solar charging failure vehicle; for each potential solar charging fault vehicle, determining whether a solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods; and determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

Compared with the prior art, this application can accord with through the vehicle detection data that the check-up was obtained and predetermine the detection condition, then through the vehicle detection data that accords with the detection condition of predetermineeing in the current detection cycle of treating in the detection area, judge whether the solar charging device that the vehicle detection data set up on the definite vehicle produced overcharge current in the detection cycle to according to whether producing the overcharge current and confirming target solar charging trouble vehicle, can have solar charging trouble vehicle through big data analysis, can accomplish the detection under the condition of not disassembling solar charging device, can effectively reduce the breakage rate of each spare part, be favorable to reducing the detection cost, can also improve fault detection efficiency, increase fault detection's accuracy and precision, help the operation and maintenance of follow-up vehicle.

Based on the same inventive concept, a solar charging fault detection device corresponding to the solar charging fault detection method is also provided in the embodiments of the present application, and as the principle of solving the problem of the device in the embodiments of the present application is similar to the solar charging fault detection method in the embodiments of the present application, the implementation of the device may refer to the implementation of the method, and repeated details are not repeated.

Referring to fig. 4, 5 and 6, fig. 4 is a schematic structural diagram of a solar charging fault detection device provided in the present application, fig. 5 is a second schematic structural diagram of a solar charging fault detection device provided in the present application, and fig. 6 is a third schematic structural diagram of a solar charging fault detection device provided in the present application, and as shown in fig. 4, the detection device 400 includes:

a vehicle data acquisition module 410, configured to acquire vehicle detection data in a region to be detected in a current detection period;

a first current detection module 420, configured to determine whether a solar charging device disposed on each vehicle generates an overcharge current in the current detection period according to the vehicle detection data;

a potential vehicle determination module 430, configured to determine a vehicle corresponding to a solar charging device that does not generate an overcharge current in the current detection period as a potential solar charging failure vehicle;

the second current detection module 440 is configured to determine, for each potential solar charging faulty vehicle, whether the solar charging device on each potential solar charging faulty vehicle generates an overcharge current in each operation and maintenance cycle according to the vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods;

and a faulty vehicle determination module 450, configured to determine, as the target solar charging faulty vehicle, a potential solar charging faulty vehicle corresponding to a solar charging device that does not generate charging current in each operation and maintenance cycle.

Further, as shown in fig. 5, the detecting apparatus 400 further includes a condition checking module 460, where the condition checking module 460 is configured to:

Further, the condition verification module 460 may determine that the vehicle detection data meets the preset detection condition by:

Further, the first current detection module 420 may be configured to determine that no overcharge current is generated in the vehicle by:

Further, the second current detection module 440 may be configured to determine that no overcharge current is generated in the potentially solar charging faulty vehicle by:

Further, as shown in fig. 5, the detection apparatus 400 further includes an operation and maintenance vehicle determination module 470, where the operation and maintenance vehicle determination module 470 is configured to:

Further, as shown in fig. 5, in the case that the operation and maintenance vehicle determination module 470 screens out a preset number of target solar charging faulty vehicles from a plurality of target solar charging faulty vehicles having corresponding historical travel orders according to the target power change value from high to low, the operation and maintenance vehicle determination module 470 may determine the preset number by:

Further, as shown in fig. 5, the detecting device further includes a vehicle grouping module 480, and the vehicle grouping module 480 is configured to:

Further, as shown in fig. 5, the detecting apparatus further includes a packet calibration module 490, where the packet calibration module 490 is configured to:

Further, as shown in fig. 6, the detection apparatus 400 further includes:

an electric quantity change detection module 401, configured to obtain, from the vehicle detection data, third electric quantity change information of each non-faulty vehicle in the area to be detected in each operation and maintenance cycle, where the non-faulty vehicle is another vehicle, except for the target solar charging faulty vehicle, in the multiple vehicles in the area to be detected;

an abnormal vehicle determination module 402 for determining a charging abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity change information of each non-faulty vehicle.

Further, in the case where the abnormal vehicle determination module 402 is configured to determine a charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric quantity change information of each non-faulty vehicle, the abnormal vehicle determination module 402 is further configured to:

The detection device for the solar charging fault, provided by the embodiment of the application, acquires vehicle detection data in a region to be detected in a current detection period; determining whether a solar charging device arranged on each vehicle generates overcharge current in the current detection period according to the vehicle detection data; determining a vehicle corresponding to a solar charging device which does not generate overcharge current in the current detection period as a potential solar charging failure vehicle; for each potential solar charging fault vehicle, determining whether a solar charging device on each potential solar charging fault vehicle generates overcharge current in each operation and maintenance cycle according to vehicle operation and maintenance data in each operation and maintenance cycle in the current detection cycle; the current detection period comprises a plurality of operation and maintenance periods; and determining the potential solar charging fault vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance period as the target solar charging fault vehicle.

Referring to fig. 7, fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 7, the electronic device 700 includes a processor 710, a memory 720, and a bus 730.

The memory 720 stores machine-readable instructions executable by the processor 710, when the electronic device 700 runs, the processor 710 communicates with the memory 720 through the bus 730, and when the machine-readable instructions are executed by the processor 710, the steps of the method for detecting a solar charging failure in the embodiment of the method shown in fig. 2 and fig. 3 may be performed.

An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for detecting a solar charging fault in the method embodiments shown in fig. 2 and fig. 3 may be executed.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A detection method for solar charging faults is characterized by comprising the following steps:

2. The detection method according to claim 1, wherein after said acquiring vehicle detection data in a region to be detected in a current detection period, the detection method further comprises:

3. The detection method according to claim 2, wherein it is determined that the vehicle detection data meets the preset detection condition by:

4. The detection method according to claim 1, characterized in that it is determined that no overcharge current is generated in the vehicle by:

5. The detection method according to claim 1, wherein it is determined that no overcharge current is generated in the potentially solar-charged faulty vehicle by:

6. The detection method according to claim 1, wherein after the potential solar charging faulty vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance cycle is determined as the target solar charging faulty vehicle, the detection method further comprises:

7. The detection method according to claim 1, wherein after the potential solar charging faulty vehicle corresponding to the solar charging device which does not generate the charging current in each operation and maintenance cycle is determined as the target solar charging faulty vehicle, the detection method further comprises:

8. The detection method according to claim 7, wherein the determining of the charging-abnormal vehicle among the plurality of non-faulty vehicles based on the third electric-quantity change information of each non-faulty vehicle includes:

9. A solar charging failure detection device, comprising:

10. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is running, the processor executing the machine-readable instructions to perform the steps of the method for detecting solar charging failure according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, performs the steps of the method for detecting solar charging failure according to any one of claims 1 to 8.