CN114566028A

CN114566028A - Electric vehicle charging risk monitoring method and device and storage medium

Info

Publication number: CN114566028A
Application number: CN202210158917.9A
Authority: CN
Inventors: 崔岩; 罗英; 刘云舒; 叶国栋; 冯丰; 刘丁丁; 樊一萍
Original assignee: China Merchants Shekou Digital City Technology Co ltd
Current assignee: China Merchants Shekou Digital City Technology Co ltd
Priority date: 2022-02-21
Filing date: 2022-02-21
Publication date: 2022-05-31
Anticipated expiration: 2042-02-21
Also published as: CN114566028B

Abstract

The invention discloses a method, a device and a storage medium for monitoring the charging risk of an electric vehicle, wherein the method comprises the steps of monitoring the temperature of a charging area of the electric vehicle in real time, generating first early warning information when abnormal temperature is monitored, monitoring objects in the charging area of the electric vehicle in real time, generating second early warning information when abnormal objects exist, and further performing joint judgment on the first early warning information and the second early warning information so as to perform risk warning according to a joint judgment result; the invention defines the specific process of carrying out real-time risk monitoring on the charging area of the electric vehicle, carries out related object monitoring on the charging area on the basis of monitoring the temperature of the charging area, and determines whether alarming is needed or not by combining the abnormal temperature early warning information and the abnormal object early warning information, thereby reducing the situation of false alarming, improving the alarming accuracy, further reducing the workload increase of related personnel and improving the risk management efficiency.

Description

Electric vehicle charging risk monitoring method and device and storage medium

Technical Field

The invention relates to the technical field of electric vehicle charging and battery replacement, in particular to a method and a device for monitoring charging risk of an electric vehicle and a storage medium.

Background

With the upgrading of new energy technology and the further expansion of market scale of electric vehicles (including electric vehicles, electric motorcycles, and the like), the charging demand of the electric vehicles is gradually increased. Due to the high density and the uneven quality level of the electric vehicle battery, thermal runaway is easy to occur in the charging process, so that spontaneous combustion and explosion risks exist in a charging area with certain probability.

Therefore, in order to ensure the charging safety, the risk monitoring is carried out on the charging area, the abnormal temperature condition of the charging area is timely found, and the alarm is given, so that related personnel can prevent and control the spontaneous combustion and spontaneous explosion risks of the electric vehicle. However, the existing risk monitoring means of the charging area is simple, false alarm is easily caused by monitoring errors, the alarm accuracy is not high, the workload of related personnel is increased, and the risk management efficiency is reduced.

Disclosure of Invention

The invention provides a charging risk monitoring method and device for an electric vehicle and a storage medium, and aims to solve the problems that the risk monitoring of the conventional charging area is easy to generate false alarm, the alarm accuracy is low, the workload of personnel is increased, and the risk management efficiency is reduced.

The electric vehicle charging risk monitoring method comprises the following steps:

monitoring the temperature of a charging area of the electric vehicle in real time, and generating first early warning information when monitoring abnormal temperature;

monitoring objects in a charging area of the electric vehicle in real time, and generating second early warning information when abnormal objects are monitored;

and performing joint judgment on the first early warning information and the second early warning information so as to perform risk warning according to a joint judgment result.

Further, if the abnormal event of the second early warning information is that the first-class abnormal object is monitored, the first early warning information and the second early warning information are jointly judged, so that risk warning is performed according to a joint judgment result, and the method comprises the following steps:

determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information;

if the abnormal temperature and the abnormal object are monitored simultaneously, determining whether the abnormal temperature and the existing area of the abnormal object are overlapped;

and if the abnormal temperature is not overlapped with the existing area of the abnormal object, generating target early warning information and carrying out risk warning.

Further, after determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first warning information and the second warning information, the method further comprises:

and if the abnormal temperature and the abnormal object are not monitored at the same time, generating target early warning information and carrying out risk warning.

Further, according to the first warning information and the second warning information, determining whether the abnormal temperature and the abnormal object are monitored simultaneously includes:

determining an early warning period of the first early warning information according to the abnormal occurrence time of the first early warning information;

determining whether the abnormal occurrence time of the second early warning information is in an early warning period;

if the abnormal occurrence moment of the second early warning information is in the early warning period, determining that the abnormal temperature and the abnormal object are monitored simultaneously;

and if the abnormal occurrence moment of the second early warning information is not in the early warning period, the determining position simultaneously monitors the abnormal temperature and the abnormal object.

Further, determining whether the abnormal temperature coincides with the existence region of the abnormal object includes:

determining the area coincidence rate between the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information, and determining whether the area coincidence rate is smaller than a preset coincidence rate;

if the area coincidence rate is smaller than the preset coincidence rate, determining that the abnormal temperature coincides with the existing area of the abnormal object;

and if the area coincidence rate is greater than or equal to the preset coincidence rate, determining that the abnormal temperature is not coincided with the existing area of the abnormal object.

Further, if the abnormal temperature and the abnormal object are monitored simultaneously, the method further comprises the following steps:

determining early warning confidence according to the region coincidence rate between the abnormal temperature existing region in the first early warning information and the abnormal object existing region in the second early warning information;

if the early warning confidence coefficient is greater than the first confidence coefficient and less than the second confidence coefficient, generating target early warning information;

if the early warning confidence coefficient is greater than or equal to the second confidence coefficient and less than or equal to the third confidence coefficient, generating target early warning information and carrying out first-level warning;

and if the early warning confidence coefficient is greater than or equal to the third confidence coefficient, generating target early warning information and carrying out second-level warning, wherein the warning level of the second-level warning is greater than that of the first-level warning.

Further, if the abnormal event of the second early warning information is that a second type of abnormal object is monitored, the first early warning information and the second early warning information are jointly judged, so that risk warning is performed according to a joint judgment result, and the method comprises the following steps:

determining whether the abnormal temperature and the abnormal object are monitored simultaneously or not according to the first early warning information and the second early warning information, and determining whether the abnormal temperature and the existing area of the abnormal object are overlapped or not;

and if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature is superposed with the existing area of the abnormal object, generating target early warning information and carrying out third-level warning, wherein the warning level of the third-level warning is greater than that of the second-level warning.

Provided is an electric vehicle charging risk monitoring device, including:

the temperature monitoring module is used for monitoring the temperature of a charging area of the electric vehicle in real time and generating first early warning information when abnormal temperature is monitored;

the object monitoring module is used for monitoring objects in a charging area of the electric vehicle in real time and generating second early warning information when abnormal objects are monitored;

and the joint judgment module is used for performing joint judgment on the first early warning information and the second early warning information so as to perform risk alarm according to a joint judgment result.

The electric vehicle charging risk monitoring device comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and the steps of the electric vehicle charging risk monitoring method are realized when the processor executes the computer program.

There is provided a readable storage medium storing a computer program which, when executed by a processor, performs the steps of the above-described electric vehicle charging risk monitoring method.

In one scheme provided by the electric vehicle charging risk monitoring method, the electric vehicle charging risk monitoring device and the storage medium, the electric vehicle charging area is subjected to real-time temperature monitoring, first early warning information is generated when abnormal temperature is monitored, real-time object monitoring is carried out on the electric vehicle charging area, second early warning information is generated when abnormal objects are monitored, and then the first early warning information and the second early warning information are jointly judged so as to carry out risk warning according to a joint judgment result; the invention defines the specific process of carrying out real-time risk monitoring on the charging area of the electric vehicle, carries out related object monitoring on the charging area on the basis of monitoring the temperature of the charging area, and determines whether alarming is needed or not by combining the abnormal temperature early warning information and the abnormal object early warning information, thereby reducing the situation of false alarming, improving the alarming accuracy, further reducing the workload increase of related personnel and improving the risk management efficiency.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.

Fig. 1 is a schematic structural diagram of a charging risk monitoring system for an electric vehicle according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a charging risk monitoring method for an electric vehicle according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating an implementation of step S30 in FIG. 2;

FIG. 4 is a schematic flow chart of another implementation of step S30 in FIG. 2;

fig. 5 is a schematic structural diagram of an electric vehicle charging risk monitoring apparatus according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a computer device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The electric vehicle charging risk monitoring method provided by the embodiment of the invention can be applied to an electric vehicle charging risk monitoring system shown in fig. 1, wherein the electric vehicle charging risk monitoring system comprises a plurality of camera devices with infrared camera shooting capability and an electric vehicle charging risk monitoring device, and the camera devices are communicated with the electric vehicle charging risk monitoring device through a network. The electric vehicle charging risk monitoring device can be a cloud platform with safety management and property management capabilities, and the cloud platform can be realized by an independent server or a server cluster consisting of a plurality of servers; the camera is a device with video analysis capability, for example, the camera may be a smart camera with infrared capability, or may be a device formed by combining a general camera with infrared capability and an analysis server with an edge calculation algorithm.

The method comprises the steps that after corresponding camera devices are installed at different positions of an electric vehicle charging area, the camera devices monitor the electric vehicle charging area in real time to obtain video information, then the camera devices monitor the video information in real time based on infrared spectrums, generate first early warning information when abnormal temperature is monitored and send the first early warning information to a cloud platform in real time, meanwhile, the camera devices can also monitor objects in the electric vehicle charging area in real time based on an object detection algorithm, generate second early warning information when abnormal objects exist, and send the second early warning information to the cloud platform in real time, after the cloud platform receives the first early warning information and the second early warning information, joint judgment is conducted on the first early warning information and the second early warning information, risk warning is conducted according to joint judgment results, and relevant processing measures are conducted on relevant personnel according to warning. The embodiment defines the specific process of carrying out real-time risk monitoring on the electric vehicle charging area, and carries out related object monitoring on the charging area on the basis of monitoring the temperature of the charging area, and determines whether to alarm or not by combining abnormal temperature early warning information and abnormal object early warning information, so that the situation of misinformation can be reduced, the alarm accuracy is improved, the workload of related personnel is reduced, and the risk management efficiency is improved.

In other embodiments, the camera may be a normal infrared camera device without analysis capability. The method comprises the steps that a camera device monitors an electric vehicle charging area in real time to obtain video information of the electric vehicle charging area and sends the video information to an electric vehicle charging risk monitoring device in real time, after the electric vehicle charging risk monitoring device obtains the video information shot by the camera device, data conversion analysis is carried out on the video information, real-time temperature monitoring is carried out on the electric vehicle charging area based on infrared spectrum, first early warning information is generated when abnormal temperature is monitored, real-time object monitoring is carried out on the electric vehicle charging area based on an object monitoring algorithm, second early warning information is generated when abnormal objects are monitored, then joint judgment is carried out on the first early warning information and the second early warning information, and risk warning is carried out according to a joint judgment result; the embodiment defines the specific process of carrying out real-time risk monitoring on the electric vehicle charging area, and carries out related object monitoring on the charging area on the basis of monitoring the temperature of the charging area, and determines whether to alarm or not by combining abnormal temperature early warning information and abnormal object early warning information, so that the situation of misinformation can be reduced, the alarm accuracy is improved, the workload of related personnel is reduced, and the risk management efficiency is improved.

In an embodiment, as shown in fig. 2, an electric vehicle charging risk monitoring method is provided, which is described by taking the electric vehicle charging risk monitoring system in fig. 1 as an example, and includes the following steps:

s10: the method comprises the steps of monitoring the temperature of a charging area of the electric vehicle in real time, and generating first early warning information when abnormal temperature is monitored.

In order to ensure the charging safety of the electric vehicle, real-time temperature monitoring needs to be carried out on a charging area of the electric vehicle, and first early warning information is generated when abnormal temperature is monitored. In the practical application process, the camera device installed in the electric vehicle charging area monitors the electric vehicle charging area to obtain video information of the electric vehicle charging area, then the camera device analyzes the video information, whether the area with abnormal temperature exists in the video information is identified based on infrared spectrum, and if the area with abnormal temperature is monitored, first early warning information is generated and sent to the electric vehicle charging risk monitoring device (such as a cloud platform).

It can be understood that the total energy of the infrared radiation emitted by the object is proportional to the fourth power of the temperature of the object, the camera device detects the magnitude of the radiation energy from the object through an infrared imaging technology, the radiation energy is converted into a thermal image corresponding to the object through data conversion, the value of each pixel on the thermal image represents the temperature of the corresponding position of the object, the temperature characteristic of the object can be determined through the thermal image, and the position with the temperature higher than a certain threshold value is identified. The camera device converts video information into a thermal imaging graph based on the infrared spectrum, determines whether an electric vehicle charging area has an area exceeding a preset temperature threshold (such as 60 ℃), and generates first early warning information if the electric vehicle charging area has the area exceeding the preset temperature threshold. The method comprises the steps that a plurality of regions with over-high temperature exist in an electric vehicle charging region, and a plurality of pieces of first early warning information are generated when the region with over-high temperature does not exist in the electric vehicle charging region.

S20: and monitoring objects in the charging area of the electric vehicle in real time, and generating second early warning information when abnormal objects exist.

Meanwhile, the camera device can also monitor the objects in the charging area of the electric vehicle in real time, and generates second early warning information when monitoring that abnormal objects exist. The camera device identifies whether an area of an abnormal object (namely a preset object) exists in the video information based on an object detection algorithm, and if the area of the abnormal object exists, second early warning information is generated and sent to the electric vehicle charging risk monitoring device.

After the video information is obtained, the video information is split into multiple frames of images, then each frame of image is input into a preset identification model, the preset identification model conducts preset object identification on the input image to determine whether a preset object exists in the input image, if the preset object exists in the image, an area with an abnormal object in an electric vehicle charging area is determined, and second early warning information is generated and sent to an electric vehicle charging risk monitoring device. The preset identification model is a neural network model obtained by training according to sample data including a preset object.

The preset object can be an object which can change the temperature of the area to cause temperature detection false alarm, the object is a first object, the temperature of the area can be changed by burning cigarettes and warm food, temperature monitoring is caused to trigger early warning, and therefore the preset object comprises cigarettes and takeaway (food). In addition, the preset object can also be an object causing fire, such as dense smoke, flame and the like, and the object is a second object.

The early warning information comprises an abnormal event, an abnormal area, a video screenshot of the abnormal area and the abnormal occurrence moment. The abnormal events comprise two events of monitoring abnormal temperature and monitoring abnormal objects, and the monitoring of the abnormal objects comprises two sub-events of monitoring a first type of abnormal objects and monitoring a second type of abnormal objects. For example, the first warning information includes an abnormal event (i.e., abnormal temperature is monitored), an abnormal temperature existing region, a video screenshot of the abnormal temperature existing region, and an abnormal occurrence time; the second early warning information comprises an abnormal event (namely, the abnormal object is monitored), an abnormal object existing area, a video screenshot of the abnormal object existing area and the abnormal occurrence moment. The abnormal occurrence time can be the time when the abnormal temperature and the abnormal object are monitored, and can also be the time when the early warning information is generated.

In the process of monitoring objects in real time in an electric vehicle charging area and generating second early warning information when abnormal objects are monitored, if the first class of objects exist in the video information, determining the area of the electric vehicle charging area where the abnormal objects exist to generate second early warning information, wherein abnormal events in the second early warning information are the first class of abnormal objects; if the second type of object exists in the video information, determining an area of the electric vehicle charging area where the abnormal object exists to generate second early warning information, wherein the abnormal event in the second early warning information is that the second type of abnormal object is monitored.

S30: and performing joint judgment on the first early warning information and the second early warning information so as to perform risk warning according to a joint judgment result.

After the first early warning information and the second early warning information are received, the electric vehicle charging risk monitoring device carries out joint judgment on the first early warning information and the second early warning information so as to carry out risk warning according to a joint judgment result. The target early warning information comprises an abnormal event, an abnormal area, a video screenshot of the abnormal area and the abnormal occurrence time, so that related personnel can determine the risk occurrence condition in time according to the target early warning information to perform safe operation.

The abnormal temperature and the abnormal object can be determined whether to be monitored simultaneously by comparing the abnormal occurrence time in the first early warning information and the second early warning information, and whether the abnormal temperature and the abnormal object exist in the area is determined to be overlapped according to the abnormal existence area in the first early warning information and the second early warning information; if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature is overlapped with the existing area of the abnormal object, it is indicated that the first early warning information may be generated by triggering early warning by changing the area temperature through a preset object (such as cigarettes and takeaway), false alarm may exist, at this time, whether the first type of abnormal object or the second type of abnormal object is monitored (determined through an abnormal event in the second early warning information) needs to be determined, and whether risk alarm needs to be performed or not is judged according to a determination result. If the abnormal temperature and the abnormal object are monitored simultaneously, the abnormal temperature is overlapped with the existing area of the abnormal object, and the abnormal event in the second early warning information is the first-class abnormal object, the first early warning information is generated by triggering early warning by changing the area temperature through the first-class object (such as cigarettes and takeaway), and risk warning is not needed; if the abnormal temperature and the abnormal object are monitored simultaneously, the abnormal temperature is overlapped with the existing area of the abnormal object, and the abnormal event in the second early warning information is the monitored second abnormal object, the second early warning information is generated by triggering early warning by the second object (such as dense smoke and flame), at the moment, the self-ignition risk of the electric vehicle is high, risk warning needs to be carried out, the warning level is the highest level, at the moment, target early warning information is generated and sent to related personnel, and power supply to the charging equipment in the charging area is stopped.

If the abnormal temperature and the abnormal object and/or the abnormal temperature and the existing area of the abnormal object are not coincided when being determined to be monitored at the same time, the two abnormalities are shown to be generated at different moments and/or the existing areas are not coincident, the possibility of false alarm caused by changing the temperature of the area by a preset object (such as cigarettes and takeaway) does not exist, and the electric vehicle or the charging pile possibly has spontaneous combustion risk, target early warning information needs to be generated and risk warning needs to be carried out to prompt relevant personnel to carry out risk prevention and control in time, for example, the relevant personnel are informed to go to the abnormal area to carry out rechecking, power off and other operations. When the abnormal temperature and the abnormal object are not monitored at the same time and/or the existing area of the abnormal temperature and the abnormal object are not overlapped, if the abnormal object monitors the first type of abnormal object, the first early warning information can be used as target early warning information; if the abnormal object is the second type of abnormal object, the first early warning information and the second early warning information are respectively generated into target early warning information, so that related personnel can timely know the abnormal conditions of all areas, and risk prevention is carried out.

In the embodiment, the electric vehicle charging area is subjected to real-time temperature monitoring, first early warning information is generated when abnormal temperature is monitored, the electric vehicle charging area is subjected to real-time object monitoring, second early warning information is generated when abnormal objects exist, and then the first early warning information and the second early warning information are subjected to joint judgment so as to carry out risk warning according to a joint judgment result; the invention defines the specific process of carrying out real-time risk monitoring on the charging area of the electric vehicle, carries out related object monitoring on the charging area on the basis of monitoring the temperature of the charging area, and determines whether alarm is needed or not by combining the abnormal temperature early warning information and the abnormal object early warning information, thereby reducing the condition of false alarm, improving the accuracy of alarm, further reducing the increase of the workload of related personnel, improving the efficiency of risk management, simultaneously reducing the problem of untimely risk processing caused by reducing the sensitivity of the related personnel due to a large amount of false alarm, preventing and controlling the spontaneous combustion and spontaneous explosion risks of the electric vehicle in time and accurately, and ensuring the safety of the electric vehicle and a charging pile.

In an embodiment, if the abnormal event of the second warning message is the detection of the first type of abnormal object. As shown in fig. 3, in step S30, that is, performing joint judgment on the first warning information and the second warning information to perform risk warning according to a joint judgment result, the method specifically includes the following steps:

s31: and determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information.

After receiving the first early warning information and the second early warning information, the electric vehicle charging risk monitoring device needs to determine whether an abnormal event of the second early warning information is a condition that the first type of abnormal object is monitored, and further determines whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information if the abnormal event of the second early warning information is a condition that the first type of abnormal object is monitored.

The abnormal temperature and the abnormal object can be determined whether to be monitored simultaneously or not by comparing the abnormal occurrence time of the first early warning information with the abnormal occurrence time of the second early warning information. If the abnormal occurrence time of the first early warning information is consistent with the abnormal occurrence time of the second early warning information or the error is within a preset value (for example, the error of the abnormal occurrence time is 5 seconds), determining that the abnormal temperature and the abnormal object are monitored at the same time; if the abnormal occurrence time of the first early warning information is inconsistent with the abnormal occurrence time of the second early warning information or the error is larger than a preset value (if the error of the abnormal occurrence time is larger than 5 seconds), it is determined that the abnormal temperature and the abnormal object are not monitored at the same time.

S32: and if the abnormal temperature and the abnormal object are not monitored at the same time, generating target early warning information and carrying out risk warning.

If the abnormal temperature and the abnormal object are determined not to be monitored simultaneously, the two abnormalities are shown to occur at different moments, the possibility that the preset object (such as cigarettes and takeoffs) changes the temperature of the area to cause false alarm does not exist, the electric vehicle or the charging pile possibly has spontaneous combustion risk, target early warning information needs to be generated and risk alarm needs to be carried out, at the moment, the first early warning information can be directly used as the target early warning information to be sent to relevant personnel to prompt the relevant personnel to carry out risk prevention and control in time, and for example, the relevant personnel are informed to go to the area with the abnormalities to carry out rechecking, power failure and other operations. In the embodiment, whether the abnormal temperature and the abnormal object are monitored simultaneously is simply judged, if the abnormal temperature and the abnormal object are not monitored simultaneously, target early warning information is directly generated and risk warning is carried out, complex abnormal area superposition judgment is not needed, data processing amount is reduced, warning speed is improved, and therefore timely prevention control is carried out.

S33: and if the abnormal temperature and the abnormal object are monitored simultaneously, determining whether the abnormal temperature and the existing area of the abnormal object are overlapped.

After determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information, if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature and the abnormal object are indicated to be possibly caused by the same factor, it is necessary to further determine whether the existence areas of the abnormal temperature and the abnormal object coincide with each other.

The abnormal temperature and the existence area of the abnormal object can be determined whether to be overlapped or not by comparing the abnormal existence area of the first early warning information with the abnormal existence area of the second early warning information, wherein the abnormal existence area can be represented by the area coordinate position. If the abnormal existence area of the first early warning information and the abnormal existence area of the second early warning information are the same area, determining that the abnormal temperature is overlapped with the existence area of the abnormal object; and if the abnormal existence region of the first early warning information is different from the abnormal existence region of the second early warning information, determining that the abnormal temperature is not overlapped with the existence region of the abnormal object.

S34: and if the abnormal temperature is not overlapped with the existing area of the abnormal object, generating target early warning information and carrying out risk warning.

When the abnormal temperature and the abnormal object are monitored simultaneously, if the abnormal temperature is determined to be overlapped with the existing area of the abnormal object, two abnormal events of the abnormal temperature and the abnormal object are indicated to occur simultaneously and occur in the same area, and the first early warning information is that the first type of preset object (such as cigarettes and takeaway) changes the area temperature to cause false alarm, and alarm is not needed. When the abnormal temperature and the abnormal object are monitored simultaneously, if the abnormal temperature and the existence area of the abnormal object are determined not to be overlapped, the two abnormal events of the abnormal temperature and the abnormal object are shown to occur simultaneously, but the two abnormal events occur in different areas, the possibility that the temperature of the area is changed by a first type of object (such as cigarettes and takeoffs) to cause false alarm does not exist, the electric vehicle or the charging pile possibly has spontaneous combustion risk, target early warning information needs to be generated and risk warning is needed, and at the moment, the first early warning information can be directly sent to relevant personnel as the target early warning information to prompt the relevant personnel to perform risk prevention and control in time. In the embodiment, whether the abnormal temperature and the abnormal object are monitored simultaneously is simply judged, the judgment of the area superposition is carried out when the abnormal temperature and the abnormal object are monitored simultaneously, the risk alarm can be accurately carried out on the basis of reducing the data processing amount and improving the alarm speed, and the alarm accuracy is ensured.

In the embodiment, whether abnormal temperature and abnormal objects are monitored simultaneously is determined according to the first early warning information and the second early warning information, and if the abnormal temperature and the abnormal objects are not monitored simultaneously, target early warning information is generated and risk warning is performed; if the abnormal temperature and the abnormal object are monitored simultaneously, whether the abnormal temperature is coincident with the existing area of the abnormal object or not is determined, if the abnormal temperature is not coincident with the existing area of the abnormal object, target early warning information is generated and risk warning is carried out, the specific steps of carrying out combined judgment on the first early warning information and the second early warning information and carrying out risk warning according to the combined judgment result are determined, different combined judgment modes are determined according to different abnormal events, if the abnormal event of the second early warning information is that the first type of abnormal object is monitored, warning is carried out only when the occurrence time of temperature early warning and object early warning is coincident and the position of the abnormal area is coincident or when the occurrence time of temperature early warning and object early warning is not coincident, the possibility of false warning caused by temperature early warning triggered by heat emitted by the first type of object is avoided, and the warning accuracy is improved, and then reduced the increase of relevant personnel's work load to improve risk management's efficiency, simultaneously, also can reduce the problem that the risk treatment is untimely that causes because of a large amount of wrong reports reduce relevant personnel's sensitivity, can in time, accurately prevent and control electric motor car spontaneous combustion, spontaneous explosion risk, guarantee the safety of electric motor car and electric pile.

In an embodiment, in step S31, determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first warning information and the second warning information includes the following steps:

s311: and determining the early warning period of the first early warning information according to the abnormal occurrence time of the first early warning information.

After the first early warning information is received, the electric vehicle risk monitoring device needs to determine the abnormal occurrence time in the first early warning information, and determines the early warning period of the first early warning information according to the abnormal occurrence time of the first early warning information.

The early warning period of the first early warning information may be a time zone formed within a preset time before and after the time when the abnormality of the first early warning information occurs as a midpoint time. For example, the preset time duration is 5 seconds, if the abnormality occurrence time of the first warning information is 10 o ' clock 01 min 10 seconds, the first 5 seconds of 10 o ' clock 01 min 10 seconds is 10 o ' clock 01 min 05 seconds, the last 5 seconds of 10 o ' clock 01 min 10 seconds is 10 o ' clock 01 min 15 seconds, and the warning period is a time region between 10 o ' clock 01 min 05 seconds and 10 o ' clock 01 min 15 seconds.

In this embodiment, the preset duration of 5 seconds is only an exemplary illustration, and in other embodiments, the preset duration may also be other durations, for example, 1 second, 3 seconds, 6 seconds, 7 seconds, 8 seconds, and 10 seconds, which are not described herein again.

S312: and determining whether the abnormal occurrence time of the second early warning information is in the early warning period.

After the early warning period of the first early warning information is determined, the abnormal occurrence time in the second early warning information needs to be determined, and whether the abnormal occurrence time of the second early warning information is in the early warning period or not is determined.

S313: and if the abnormal occurrence moment of the second early warning information is in the early warning period, determining that the abnormal temperature and the abnormal object are monitored simultaneously.

After determining whether the abnormal occurrence time of the second early warning information is in the early warning period, if the abnormal occurrence time of the second early warning information is in the early warning period, indicating that the time interval between the abnormal temperature and the abnormal object is short, and considering that two abnormal events, namely the abnormal temperature and the abnormal object, occur at the same time, determining that the abnormal temperature and the abnormal object are monitored at the same time.

S314: and if the abnormal occurrence moment of the second early warning information is not in the early warning period, determining that the abnormal temperature and the abnormal object are not monitored at the same time.

After determining whether the abnormal occurrence time of the second early warning information is in the early warning period, if the abnormal occurrence time of the second early warning information is not in the early warning period, indicating that the time interval between the abnormal temperature and the abnormal object is longer, and determining that the abnormal temperature and the abnormal object are not monitored at the same time if the abnormal occurrence time of the second early warning information is not in the early warning period.

In this embodiment, an early warning period of the first early warning information is determined according to an abnormal occurrence time of the first early warning information, whether an abnormal occurrence time of the second early warning information is within the early warning period is determined, and if the abnormal occurrence time of the second early warning information is within the early warning period, it is determined that an abnormal temperature and an abnormal object are monitored at the same time; if the abnormal occurrence time of the second early warning information is not in the early warning period, the abnormal temperature and the abnormal object are determined not to be monitored simultaneously, the specific step of determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information is made clear, the judgment caused by factors such as time recording errors and monitoring errors can be reduced by setting the early warning period, the judgment accuracy is improved, and the accuracy of subsequent risk warning is further improved.

In an embodiment, in step S33, that is, determining whether the abnormal temperature coincides with the existence region of the abnormal object, the method specifically includes the following steps:

s331: and determining the area coincidence rate between the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information, and determining whether the area coincidence rate is smaller than a preset coincidence rate.

S332: and if the area coincidence rate is smaller than the preset coincidence rate, determining that the abnormal temperature coincides with the existing area of the abnormal object.

S333: and if the area coincidence rate is greater than or equal to the preset coincidence rate, determining that the abnormal temperature is not coincided with the existing area of the abnormal object.

In order to further ensure the judgment accuracy of the area coincidence, the area coincidence rate between the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information can be determined, and whether the abnormal temperature and the abnormal object existing area coincide or not can be determined according to the area coincidence rate. Here, the abnormal-temperature-existing region (including the abnormal-temperature-existing region and the abnormal-object-existing region) is represented by a relative coordinate region, which is a pixel region composed of a plurality of pixel coordinate points and is generally represented by a rectangular frame. Calculating the area overlapping rate between the abnormal temperature existing area and the abnormal object existing area, namely calculating the overlapping area between the abnormal temperature existing area and the abnormal object existing area in the second early warning information, then determining the smaller area between the abnormal temperature existing area and the abnormal object existing area, and then dividing the overlapping area by the smaller area between the abnormal temperature existing area and the abnormal object existing area to obtain the area overlapping rate.

After determining the area coincidence rate between the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information, determining whether the area coincidence rate is smaller than a preset coincidence rate, and if the area coincidence rate between the abnormal existing area of the first early warning information and the abnormal existing area of the second early warning information is larger than or equal to the preset coincidence rate, determining that the abnormal temperature is coincident with the abnormal object existing area; and if the area coincidence rate between the abnormal existing area of the first early warning information and the abnormal existing area of the second early warning information is smaller than the preset coincidence rate, determining that the abnormal temperature coincides with the non-existing area of the abnormal object.

For example, an image of the entire electric vehicle charging area is divided into a 100-pixel grid, and coordinates of each pixel are (1,1) to (10,10) in this order; the preset coincidence rate is 33%, the relative coordinate region (abnormal temperature existing region) of the abnormal temperature is assumed to be [ 2,2), (2,3), (2,4), (3,2), (3,3), (3,4) ], if the relative coordinate region (abnormal object existing region) of the abnormal object is [ 3,3), (3,4), (4,3) and (4,4) ], the coincidence region is two regions (3,3) and (3,4), the region coincidence rate is 50% and is greater than the preset coincidence rate 33%, the abnormal temperature is determined to coincide with the existing region of the abnormal object, and no risk alarm is needed; if the relative coordinate area (abnormal object existing area) of the abnormal object is (6,6), the abnormal temperature existing area and the abnormal object existing area are not overlapped, the area overlapping rate is 0%, the area overlapping rate is less than the preset overlapping rate, and risk warning is needed.

In the embodiment, the area coincidence rate between the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information is determined, and whether the area coincidence rate is smaller than the preset coincidence rate is determined; if the area coincidence rate is smaller than the preset coincidence rate, determining that the abnormal temperature coincides with the existing area of the abnormal object; if the area coincidence rate is greater than or equal to the preset coincidence rate, determining that the abnormal temperature is not coincident with the existing area of the abnormal object, determining whether the abnormal temperature is coincident with the existing area of the abnormal object, comparing the area coincidence rate with the preset coincidence rate by determining the area coincidence rate between the abnormal temperature existing area and the abnormal object existing area, judging whether the abnormal temperature is coincident with the existing area of the abnormal object intuitively and quickly, improving the accuracy of a judgment result, improving the accuracy of subsequent risk alarm, and effectively preventing charging risk.

In an embodiment, after the step S31, that is, after determining whether the abnormal temperature and the abnormal object are simultaneously detected according to the first warning information and the second warning information, if the abnormal temperature and the abnormal object are simultaneously detected, the method may further include the following steps:

s301: and determining early warning confidence according to the area coincidence rate between the area where the abnormal temperature exists in the first early warning information and the area where the abnormal object exists in the second early warning information.

After determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information, if the abnormal temperature and the abnormal object are monitored simultaneously, determining the area coincidence rate between the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information, and determining the early warning confidence according to the area coincidence rate.

The higher the area coincidence rate is, the lower the early warning confidence rate is, wherein the area coincidence rate may be complementary to the early warning confidence rate, that is, the area coincidence rate is a%, the early warning confidence rate may be 100% minus a%, for example, the area coincidence rate is 10%, and the early warning confidence rate is 90%.

S302: and if the early warning confidence coefficient is greater than the first confidence coefficient and less than the second confidence coefficient, generating target early warning information.

S303: if the early warning confidence coefficient is greater than or equal to the second confidence coefficient and less than or equal to the third confidence coefficient, generating target early warning information and carrying out first-level warning;

s304: and if the early warning confidence coefficient is greater than or equal to the third confidence coefficient, generating target early warning information and carrying out second-level warning, wherein the warning level of the second-level warning is greater than that of the first-level warning.

After the early warning confidence is determined, whether risk warning is needed or not and the level of the risk warning can be determined according to the early warning confidence. When the abnormal temperature and the abnormal object are simultaneously monitored, if the early warning confidence coefficient is smaller than or equal to a first confidence coefficient (which can be 33%), the area coincidence rate between the abnormal temperature existing area and the abnormal object existing area is large, and the early warning information is that the temperature of the area is changed by a first type of preset object (such as cigarettes and takeaway) to cause false alarm, no alarm is needed; if the early warning confidence coefficient is greater than the first confidence coefficient and less than the second confidence coefficient (which can be 66%), the probability of false alarm exists, so that risk alarm is not needed, target early warning information is generated and sent to related personnel, risk prompt is carried out on the related personnel, and the related personnel recheck according to the prompt; if the early warning confidence coefficient is greater than or equal to the second confidence coefficient and less than or equal to a third confidence coefficient (which can be 99%), the fact that the area coincidence rate between the abnormal temperature existing area and the abnormal object existing area is small and the spontaneous combustion risk exists in the charging area is shown, target early warning information is generated and sent to related personnel, and a first-stage warning is carried out; and if the early warning confidence coefficient is greater than or equal to the third confidence coefficient, the fact that the abnormal temperature existing region and the abnormal object existing region are not coincident basically is shown, and the spontaneous combustion risk of the charging region is high, target early warning information is generated and sent to related personnel, and secondary warning is carried out.

The alarm level of the second-level alarm is greater than that of the first-level alarm, and the higher the alarm level is, the higher the alarm strength is. For example, the first level of alert may be one or more of a pop-up window message, a sound, and a light alert; the second level alarm can be added with telephone alarm on the basis of the first level alarm, namely, related personnel are directly dialed to make a call to alarm in time; the second level alarm may be that an alarm associated operation (e.g., power off) is added on the basis of the second level alarm, that is, on the basis of the second level alarm, the power supply of the power supply equipment in the abnormal existence area is directly turned off, and the power supply of the power supply equipment in the abnormal existence area is stopped.

In this embodiment, the first confidence level of 33%, the second confidence level of 66%, and the third confidence level of 99% are merely exemplary, and in other embodiments, the first confidence level, the second confidence level, and the third confidence level may also be other values, for example, the first confidence level is 30% or 40%; the second confidence is 60% and 70%; the third confidence is 95%, 98%, 100%.

In the embodiment, if the abnormal temperature and the abnormal object are monitored simultaneously, the early warning confidence is determined according to the area coincidence rate of the abnormal temperature existing area in the first early warning information and the abnormal object existing area in the second early warning information; if the early warning confidence coefficient is greater than the first confidence coefficient and less than the second confidence coefficient, generating target early warning information; if the early warning confidence coefficient is greater than or equal to the second confidence coefficient and less than or equal to the third confidence coefficient, generating target early warning information and carrying out first-level warning; if the early warning confidence coefficient is larger than or equal to the third confidence coefficient, generating target early warning information and carrying out second-level warning, wherein the warning level of the second-level warning is larger than the warning level of the first-level warning, determining the early warning confidence coefficient according to the area coincidence rate, carrying out risk warning of different warning levels according to the early warning confidence coefficient, and increasing the warning level to be higher, so that the related personnel can be ensured to receive the risk warning in time, carry out safe operation in time, and ensure the safety of charging of the electric vehicle.

In an embodiment, if the abnormal event of the second warning information is that a second type of abnormal object is monitored, as shown in fig. 4, in step S30, the first warning information and the second warning information are jointly determined, so as to perform a risk warning according to a joint determination result, which specifically includes the following steps:

s01: and determining whether the abnormal temperature and the abnormal object are monitored simultaneously or not according to the first early warning information and the second early warning information, and determining whether the existing areas of the abnormal temperature and the abnormal object are overlapped or not.

After the first early warning information and the second early warning information are received, the electric vehicle charging risk monitoring device needs to determine whether an abnormal event in the second early warning information is a first-class abnormal object or a second-class abnormal object, and if the abnormal event in the second early warning information is the second-class abnormal object, whether the abnormal temperature and the abnormal object are monitored simultaneously or not needs to be determined according to the first early warning information and the second early warning information, and whether the existence area of the abnormal temperature and the existence area of the abnormal object coincide or not is determined.

If the abnormal temperature and the abnormal object and/or the abnormal temperature and the existing area of the abnormal object are not simultaneously monitored, the two abnormal events are independent events, and target alarm information is respectively generated to respectively alarm. The first-class objects (dense smoke and flame) have serious safety risks compared with the temperature, so that if the abnormal temperature and the abnormal objects and/or the existing areas of the abnormal temperature and the abnormal objects are not overlapped at the same time, the first alarm information is used for generating target alarm information and carrying out first-level alarm, the second alarm information is used for generating target alarm information and carrying out second-level alarm, and related personnel can carry out related safety operation according to the target alarm information and alarm prompts. The alarm level of the second level alarm is greater than the alarm level of the first level alarm.

S02: and if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature and the existing area of the abnormal object are overlapped, generating target early warning information and carrying out third-level warning.

If the abnormal temperature and the abnormal object are monitored simultaneously, the abnormal temperature is overlapped with the existing area of the abnormal object, the abnormal event indicated by the two early warning information is the same abnormal event, at the moment, the abnormal area not only has abnormal temperature, but also generates the first class of objects (dense smoke and flame), the spontaneous combustion risk in the charging area of the electric vehicle is extremely high, the first early warning information and the second early warning information jointly generate target early warning information, and a third-level warning is carried out. And the alarm level of the third-level alarm is greater than the alarm levels of the second-level alarm and the first-level alarm. And the third-level alarm directly turns off the power supply of the abnormal area power supply equipment on the basis of the second-level alarm, and stops supplying power to the abnormal area power supply equipment.

In this embodiment, if the abnormal event of the second warning information is a second-type abnormal object, determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first warning information and the second warning information, and determining whether the existing regions of the abnormal temperature and the abnormal object coincide; if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature is superposed with the existing area of the abnormal object, generating target early warning information and carrying out third-level warning, wherein the warning level of the third-level warning is greater than the warning levels of the second-level warning and the first-level warning; the method defines the specific steps of carrying out joint judgment on the first early warning information and the second early warning information, carrying out risk alarm according to the joint judgment result, determines different joint judgment modes according to different abnormal object types, carries out third-level alarm when the occurrence time of temperature early warning and object early warning is coincident and the position of an abnormal area is coincident if the abnormal event of the second early warning information is a second abnormal object, carries out accurate alarm of different levels on different conditions, is convenient for relevant personnel to carry out timely risk management and control, improves the alarm accuracy, further reduces the workload increase of the relevant personnel, thereby improving the efficiency of risk management, simultaneously, can also reduce the problem of untimely risk processing caused by reducing the sensitivity of the relevant personnel due to a large number of false alarms, and can timely and accurately prevent and control the spontaneous combustion and spontaneous explosion risks of the electric vehicle, the safety of electric motor car and electric pile is guaranteed.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

In an embodiment, an electric vehicle charging risk monitoring device is provided, and the electric vehicle charging risk monitoring device corresponds to the electric vehicle charging risk monitoring method in the above embodiments one to one. As shown in fig. 5, the charging risk monitoring device for the electric vehicle includes a temperature monitoring module 501, an object monitoring module 502 and a joint judgment module 503. The functional modules are explained in detail as follows:

the temperature monitoring module 501 is used for monitoring the temperature of a charging area of the electric vehicle in real time and generating first early warning information when abnormal temperature is monitored;

the object monitoring module 502 is used for performing real-time object monitoring on a charging area of the electric vehicle and generating second early warning information when abnormal objects are monitored;

the joint judgment module 503 is configured to perform joint judgment on the first early warning information and the second early warning information, so as to perform risk warning according to a joint judgment result.

Further, if the abnormal event of the second early warning information is that the first type of abnormal object is monitored, the first early warning information and the second early warning information are jointly judged so as to carry out risk warning according to a joint judgment result, and the method comprises the following steps:

Further, after determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first early warning information and the second early warning information, the method further comprises the following steps:

and if the abnormal occurrence moment of the second early warning information is not in the early warning period, determining that the abnormal temperature and the abnormal object are not monitored at the same time.

Further, if the abnormal temperature and the abnormal object are monitored simultaneously, the method further comprises:

determining early warning confidence according to the area coincidence rate between the area where the abnormal temperature exists in the first early warning information and the area where the abnormal object exists in the second early warning information;

and if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature is superposed with the existing area of the abnormal object, generating target early warning information and carrying out third-level warning, wherein the warning level of the third-level warning is greater than the warning levels of the second-level warning and the first-level warning.

For specific limitations of the electric vehicle charging risk monitoring device, reference may be made to the above limitations of the electric vehicle charging risk monitoring method, which are not described herein again. All or part of the modules in the electric vehicle charging risk monitoring device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, an electric vehicle charging risk monitoring device is provided, and the electric vehicle charging risk monitoring device may be a computer device, and an internal structure diagram of the electric vehicle charging risk monitoring device may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a storage medium and an internal memory. The storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and computer programs in the storage medium to run. The database of the computer equipment is used for storing data used or generated by the electric vehicle charging risk monitoring method, such as early warning information and the like. The network interface of the computer apparatus is used for connecting and communicating with an external image pickup device through a network. The computer program is executed by a processor to implement a method of monitoring risk of charging an electric vehicle.

In one embodiment, a computer device is provided, which includes a memory, a processor and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the steps of the above-mentioned electric vehicle charging risk monitoring method are implemented.

In one embodiment, a readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the above-mentioned electric vehicle charging risk monitoring method.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. An electric vehicle charging risk monitoring method is characterized by comprising the following steps:

monitoring objects in the charging area of the electric vehicle in real time, and generating second early warning information when abnormal objects are monitored;

2. The method for monitoring the charging risk of the bullet train according to claim 1, wherein if the abnormal event of the second warning information is the monitoring of a first type of abnormal object, the jointly determining the first warning information and the second warning information to perform the risk warning according to the jointly determined result comprises:

if the abnormal temperature and the abnormal object are monitored simultaneously, determining whether the abnormal temperature is overlapped with the existing area of the abnormal object;

and if the abnormal temperature is not superposed with the existing area of the abnormal object, generating target early warning information and carrying out risk warning.

3. The method for monitoring the charging risk of a bullet train according to claim 2, wherein after determining that the abnormal temperature and the abnormal object are monitored simultaneously according to the first warning information and the second warning information, the method further comprises:

and if the abnormal temperature and the abnormal object are not monitored simultaneously, generating the target early warning information and carrying out risk warning.

4. The method for monitoring the charging risk of the bullet train according to claim 2, wherein the determining whether the abnormal temperature and the abnormal object are monitored simultaneously according to the first warning information and the second warning information comprises:

determining whether the abnormal occurrence time of the second early warning information is in the early warning period;

if the abnormal occurrence time of the second early warning information is in the early warning period, determining that the abnormal temperature and the abnormal object are monitored at the same time;

and if the abnormal occurrence moment of the second early warning information is not in the early warning period, determining that the abnormal temperature and the abnormal object are not monitored simultaneously.

5. The motor car charging risk monitoring method according to claim 2, wherein the determining whether the abnormal temperature coincides with the presence region of the abnormal object includes:

6. The method for monitoring the charging risk of a motor vehicle according to claim 2, wherein if the abnormal temperature and the abnormal object are monitored simultaneously, the method further comprises:

if the early warning confidence coefficient is greater than or equal to the second confidence coefficient and less than or equal to a third confidence coefficient, generating the target early warning information and carrying out first-level warning;

and if the early warning confidence coefficient is greater than or equal to the third confidence coefficient, generating target early warning information and performing second-level warning, wherein the warning level of the second-level warning is greater than that of the first-level warning.

7. The method for monitoring the charging risk of the bullet train according to any one of claims 1 to 6, wherein if the abnormal event of the second warning information is the monitoring of a second type of abnormal object, the jointly judging the first warning information and the second warning information to alarm the risk according to the jointly judging result includes:

determining whether the abnormal temperature and the abnormal object are monitored simultaneously or not according to the first early warning information and the second early warning information, and determining whether the abnormal temperature and an existing area of the abnormal object coincide or not;

and if the abnormal temperature and the abnormal object are monitored simultaneously and the abnormal temperature and the existing area of the abnormal object are overlapped, generating target early warning information and carrying out third-level warning, wherein the warning level of the third-level warning is greater than that of the second-level warning.

8. An electric vehicle charging risk monitoring device, comprising:

the object monitoring module is used for monitoring objects in the charging area of the electric vehicle in real time and generating second early warning information when abnormal objects are monitored;

9. An electric vehicle charging risk monitoring apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the electric vehicle charging risk monitoring method according to any one of claims 1 to 7 when executing the computer program.

10. A readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the method for monitoring charging risk of an electric vehicle according to any one of claims 1 to 7.