Method for improving servicing safety of new energy automobile, electronic equipment and storage medium

Abstract

The invention discloses a method for improving the servicing safety of a new energy automobile, electronic equipment and a storage medium. The method comprises the following steps: acquiring monitoring data acquired by any monitoring device in a plurality of monitoring devices; based on the monitoring data, evaluating a target area corresponding to the monitoring data to obtain a security evaluation result of the target area; and under the condition that the safety evaluation result represents that the charging safety index does not meet the preset condition, outputting target alarm information based on the monitoring data and the safety evaluation result. According to the invention, the technical problem of poor monitoring timeliness of potential safety hazards in the new energy automobile servicing process in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of vehicle engineering, and more specifically, to a method, electronic device, and storage medium for improving the safety of new energy vehicles. Background Technology

[0002] With the increasing popularity of new energy vehicles and growing market demand, electric vehicle manufacturing workshops are facing entirely new challenges. Compared to traditional gasoline-powered vehicles, electric vehicles have more complex battery systems with higher energy density, thus posing greater safety hazards during charging and testing. Currently, most automakers' safety monitoring methods in their manufacturing workshops are not timely enough in detecting safety hazards during the manufacturing process of new energy vehicles.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, electronic device, and storage medium for improving the safety of new energy vehicle preparation, thereby at least addressing the technical problem of poor timeliness in monitoring safety hazards during the preparation of new energy vehicles in related technologies.

[0005] According to one aspect of the present invention, a method for improving the safety of new energy vehicles is provided, comprising: acquiring monitoring data collected by any one of a plurality of monitoring devices, wherein the plurality of monitoring devices are deployed in a plurality of regions, and different regions are used to characterize regions where different new energy vehicles are charged; evaluating a target region corresponding to the monitoring data based on the monitoring data to obtain a safety assessment result for the target region, wherein the safety assessment result is used to characterize whether the charging safety index of the target region meets preset conditions; and outputting a target alarm message based on the monitoring data and the safety assessment result when the safety assessment result indicates that the charging safety index does not meet preset conditions, wherein the target alarm message is used to prompt the implementation of safety measures for the target region.

[0006] Furthermore, the monitoring data includes: image information of the target area; based on the monitoring data, the target area corresponding to the monitoring data is evaluated to obtain the safety assessment result of the target area, including: analyzing the image information to obtain the status information of the target area, wherein the status information is used to characterize whether there is an abnormal charging state in the target area; if the status information characterizes that there is an abnormal charging state in the target area, it is determined that the safety assessment result characterizes that the charging safety index of the target area does not meet the preset conditions.

[0007] Furthermore, the image information includes visual image information and thermal imaging image information; the image information is analyzed to obtain the state information of the target area, including: inputting the visual image information into a visual analysis model, analyzing the visual image information using the visual analysis model to obtain visual state information, wherein the visual state information is used to characterize whether the new energy vehicle in the target area has undergone displacement; inputting the thermal imaging image information into a temperature analysis model, analyzing the thermal imaging image using the temperature analysis model to obtain temperature state information, wherein the temperature state information is used to characterize whether the temperature of the new energy vehicle is within a preset temperature range; and constructing state information based on the visual state information and the temperature state information.

[0008] Furthermore, based on visual state information and temperature state information, state information is constructed, including: if the new energy vehicle in the target area represented by the visual state information undergoes displacement, or if the temperature of the new energy vehicle is not within the preset temperature range as represented by the temperature state information, it is determined that there is an abnormal charging state in the target area represented by the state information; if the new energy vehicle in the target area represented by the visual state information does not undergo displacement, and the temperature of the new energy vehicle is within the preset temperature range as represented by the temperature state information, it is determined that there is no abnormal charging state in the target area represented by the state information.

[0009] Furthermore, acquiring monitoring data collected by any one of the multiple monitoring devices includes: constructing a local area network (LAN) to connect the multiple monitoring devices; and acquiring monitoring data from any one of the monitoring devices based on the LAN.

[0010] Furthermore, the method also includes: constructing a data transmission interface, wherein the data transmission interface is used to transmit monitoring data; upon detecting a data acquisition request sent by a requesting party, obtaining the identity identifier of the requesting party; authenticating the requesting party based on the identity identifier; and, upon successful authentication, transmitting the monitoring data to the requesting party using the data transmission interface.

[0011] Furthermore, based on monitoring data and security assessment results, target alarm information is output, including: determining the location information of the target area based on monitoring data, and determining the alarm cause of the target area based on security assessment results; constructing initial alarm information based on location information and alarm cause; converting the format of the initial alarm information based on the receiving device type of the requesting sender to obtain target alarm information; and outputting the target alarm information to the requesting sender.

[0012] According to another aspect of the present invention, an apparatus for improving the safety of new energy vehicles is also provided, comprising: a first acquisition module, configured to acquire monitoring data collected by any one of a plurality of monitoring devices, wherein the plurality of monitoring devices are deployed in a plurality of regions, and different regions are used to characterize regions where different new energy vehicles are charged; a first evaluation module, configured to evaluate a target region corresponding to the monitoring data based on the monitoring data, and obtain a safety evaluation result for the target region, wherein the safety evaluation result is used to characterize whether the charging safety index of the target region meets preset conditions; and an information output module, configured to output target alarm information based on the monitoring data and the safety evaluation result when the safety evaluation result characterizes that the charging safety index does not meet preset conditions, wherein the target alarm information is used to prompt the implementation of safety measures for the target region.

[0013] According to another aspect of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods of various embodiments of the present invention during runtime.

[0014] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0015] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0016] According to another aspect of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0017] According to another aspect of the present invention, a computer program is also provided, which, when executed by a processor, implements the methods of the various embodiments of the present invention.

[0018] In this embodiment of the invention, monitoring data is acquired from any one of multiple monitoring devices; based on the monitoring data, the target area corresponding to the monitoring data is evaluated to obtain a safety assessment result for the target area; if the safety assessment result indicates that the charging safety indicators do not meet preset conditions, target alarm information is output based on the monitoring data and the safety assessment result. By deploying multiple monitoring devices in multiple areas, the monitoring coverage can be increased. By acquiring monitoring data from any one monitoring device and constructing a safety assessment result for the target area based on the monitoring data, it is possible to quickly determine whether the charging safety indicators of new energy vehicles in the target area meet preset conditions. This achieves intelligent and automated assessment of safety hazards. Once the charging safety indicators do not meet preset conditions, target alarm information can be output in a timely manner to remind staff to take immediate measures to avoid accidents. This achieves the goal of improving the real-time monitoring capability of the new energy vehicle preparation environment, thereby improving the technical effect of timely monitoring of safety hazards during the preparation of new energy vehicles and solving the technical problem of poor timeliness of monitoring of safety hazards during the preparation of new energy vehicles in related technologies. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0020] Figure 1 This is a flowchart of a method for improving the safety of new energy vehicle preparation according to an embodiment of the present invention;

[0021] Figure 2 This is a schematic diagram of an optional monitoring device deployment scenario according to an embodiment of the present invention;

[0022] Figure 3 This is a schematic diagram of a device for improving the safety of new energy vehicles according to an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] According to an embodiment of the present invention, an embodiment of a method for improving the safety of new energy vehicles is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] Figure 1 This is a flowchart of a method for improving the safety of new energy vehicle preparation according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0027] Step S102: Obtain monitoring data collected by any one of the multiple monitoring devices, wherein the multiple monitoring devices are deployed in multiple areas, and different areas are used to characterize the areas where different new energy vehicles are charged.

[0028] The aforementioned monitoring equipment can refer to hardware devices installed in the aforementioned area for continuously or periodically collecting, recording, and transmitting the charging status of new energy vehicles in the aforementioned area, and may include, but are not limited to: thermal imaging tube cameras, temperature sensors, smoke sensors, etc.

[0029] The aforementioned monitoring data may be data collected by the aforementioned monitoring equipment and used to monitor the charging status of new energy vehicles in the aforementioned area.

[0030] In one optional embodiment, considering that the charging areas for new energy vehicles may be distributed in different locations within the maintenance workshop, each area may have its own specific risk factors, such as differences in battery type, charging equipment, and environmental conditions, deploying monitoring equipment in multiple areas can ensure that all possible risk sources are monitored, thereby improving overall safety. Therefore, the new energy vehicle maintenance safety monitoring system (hereinafter referred to as the monitoring system) can utilize monitoring equipment deployed in multiple areas where different new energy vehicles are charged to monitor these areas and acquire monitoring data collected by any one of the multiple monitoring devices. This data can then be analyzed, and once an anomaly is detected, the monitoring system can quickly issue an alarm and initiate an emergency response procedure, thereby promptly eliminating safety hazards and preventing accidents.

[0031] For example, IoT temperature sensors can be pre-deployed in each charging area. These sensors connect to the monitoring system wirelessly or via wired connections. The monitoring system can collect and process data from all sensors. Once any sensor detects a temperature exceeding a preset threshold, the monitoring system can immediately trigger an alarm and send the alarm information to the administrator's device via the network. Furthermore, the monitoring system can utilize these sensors for real-time monitoring and historical data recording to facilitate data analysis and troubleshooting.

[0032] For example, thermal imaging tube cameras can be pre-installed in each charging area. Combined with image recognition and thermal imaging technology, they can not only detect new energy vehicles and the charging environment, but also analyze temperature changes in the images through software. When the monitoring system detects an abnormal temperature rise in any area, it can automatically send an alarm and save the video of the abnormal time period for further analysis. This method can capture temperature changes in real time, and video playback can help determine the cause and time of the accident.

[0033] Step S104: Based on the monitoring data, evaluate the target area corresponding to the monitoring data to obtain the safety assessment result of the target area. The safety assessment result is used to characterize whether the charging safety index of the target area meets the preset conditions.

[0034] The aforementioned target area can be a specific area monitored by the monitoring equipment. For example, it can refer to the new energy vehicle being charged and its surrounding environment, including but not limited to the new energy vehicle itself, the charging device, and the battery storage area. It should be noted that any area where abnormal temperatures may exist and affect the charging safety of new energy vehicles can be considered as the target area.

[0035] The above safety assessment results can be a quantitative analysis of the charging safety indicators of the target area.

[0036] The aforementioned charging safety indicators can refer to a series of standards or parameters that measure the safety status of new energy vehicles during the charging process, and are used to determine whether the charging operation is carried out within a controllable and safe range.

[0037] In one optional embodiment, considering that the initial stage of battery thermal runaway may only involve a localized temperature rise, which is not easily noticeable to the naked eye, analyzing and evaluating monitoring data can identify potential risks as early as possible, thus providing sufficient warning time to take measures to prevent accidents. Therefore, the monitoring system can evaluate the target area corresponding to the monitoring data based on the monitoring data to determine whether the charging safety indicators of the target area meet preset conditions, thereby constructing the safety assessment results of the aforementioned target area. This ensures that the monitoring system can promptly identify abnormal situations during the charging of new energy vehicles in the charging bay, thereby guaranteeing the safety of the charging process.

[0038] For example, the aforementioned monitoring data could be real-time temperature data of the charging area monitored by a thermal imaging tube camera, including upper temperature limit, lower temperature limit, and average temperature. In order to capture such abnormal temperature changes in a timely manner in the early stage of abnormal temperature rise in new energy vehicle batteries, the monitoring system can set a reasonable temperature threshold range. If the monitored temperature data exceeds the temperature threshold range, the monitoring system will determine that the charging safety indicators of the target area do not meet the preset conditions.

[0039] For example, abnormal movements of new energy vehicles during charging can also pose safety hazards. Therefore, the aforementioned monitoring data can also reflect whether new energy vehicles have experienced abnormal movements. If the monitoring data indicates that a new energy vehicle has experienced abnormal movements during charging, the monitoring system can determine that the charging safety indicators of the target area do not meet the preset conditions. Furthermore, the monitoring system can combine battery temperature data with abnormal movement data. When the temperature data exceeds the temperature threshold range or the new energy vehicle experiences abnormal movements during charging, the monitoring system can determine that the charging safety indicators of the target area do not meet the preset conditions.

[0040] Step S106: If the safety assessment results indicate that the charging safety indicators do not meet the preset conditions, a target alarm message is output based on the monitoring data and the safety assessment results. The target alarm message is used to prompt the implementation of safety measures for the target area.

[0041] The aforementioned target alarm information can be a prompt message output when the electrical safety indicators do not meet the preset conditions, used to inform staff to take safety measures for the aforementioned target area in order to eliminate safety hazards.

[0042] The aforementioned safety measures can be a series of pre-designed actions to address dangerous situations that may occur during the charging process of new energy vehicles, in order to eliminate safety hazards identified by monitoring equipment and protect personnel and equipment from harm. These measures may include, but are not limited to, stopping charging and electrical isolation.

[0043] In an optional embodiment, considering that when the monitoring system detects an abnormality during the charging process of a new energy vehicle, timely notification to staff to take safety measures can prevent accidents from occurring, or minimize the impact of accidents if they do occur, the monitoring system can generate target alarm information based on monitoring data and safety assessment results when the safety assessment results indicate that the charging safety indicators do not meet preset conditions. This target alarm information can then be sent to staff via wireless communication technology or the Internet, thereby promptly prompting staff to take safety measures in the target area.

[0044] For example, once an abnormal increase in the temperature of the battery pack of a new energy vehicle is detected, the monitoring system can generate target alarm information based on the specific location information of the new energy vehicle and the specific abnormal situation, and output it to the staff to remind them to immediately stop the charging operation and take electrical isolation measures, thereby effectively preventing the thermal runaway from deteriorating further and reducing potential damage.

[0045] In this embodiment of the invention, monitoring data is acquired from any one of multiple monitoring devices; based on the monitoring data, the target area corresponding to the monitoring data is evaluated to obtain a safety assessment result for the target area; if the safety assessment result indicates that the charging safety indicators do not meet preset conditions, target alarm information is output based on the monitoring data and the safety assessment result. By deploying multiple monitoring devices in multiple areas, the monitoring coverage can be increased. By acquiring monitoring data from any one monitoring device and constructing a safety assessment result for the target area based on the monitoring data, it is possible to quickly determine whether the charging safety indicators of new energy vehicles in the target area meet preset conditions. This achieves intelligent and automated assessment of safety hazards. Once the charging safety indicators do not meet preset conditions, target alarm information can be output in a timely manner to remind staff to take immediate measures to avoid accidents. This achieves the goal of improving the real-time monitoring capability of the new energy vehicle preparation environment, thereby improving the technical effect of timely monitoring of safety hazards during the preparation of new energy vehicles and solving the technical problem of poor timeliness of monitoring of safety hazards during the preparation of new energy vehicles in related technologies.

[0046] Furthermore, the monitoring data includes: image information of the target area; based on the monitoring data, the target area corresponding to the monitoring data is evaluated to obtain the safety assessment result of the target area, including: analyzing the image information to obtain the status information of the target area, wherein the status information is used to characterize whether there is an abnormal charging state in the target area; if the status information characterizes that there is an abnormal charging state in the target area, it is determined that the safety assessment result characterizes that the charging safety index of the target area does not meet the preset conditions.

[0047] The aforementioned image information refers to visual information captured by monitoring equipment, which is used to describe the intuitive visual feedback of new energy vehicles, batteries and the surrounding environment within the target area, and is the basic data for analyzing the status information of the target area.

[0048] The aforementioned status information can be a conclusion drawn from the analysis of image information, used to describe whether there are any anomalies in the target area.

[0049] The aforementioned abnormal charging states can be non-standard or unexpected situations that occur during the charging process, which may lead to safety hazards. These may include, but are not limited to, situations such as the new energy vehicle overheating or abnormal movement of the new energy vehicle.

[0050] In an optional embodiment, considering that the above image information includes video information and thermal imaging information, which can intuitively reflect the temperature and movement of the new energy vehicle when it is charging in the target area, the monitoring system can analyze the above image information to determine whether there is an abnormal charging state in the target area, thereby constructing the status information of the target area. Once the status information indicates that there is an abnormal charging state in the target area, it means that there is a safety hazard in the target area. At this time, the monitoring system can determine that the above safety assessment result is that the charging safety index of the target area does not meet the preset conditions.

[0051] For example, the monitoring system can use deep learning algorithms to analyze the temperature distribution in the above image information and identify areas with abnormally high temperatures. If the temperature of the target area detected in the thermal imaging video is much higher than that of the surrounding environment or reaches a preset high temperature threshold, the monitoring system can determine that the above status information indicates that there is an abnormal charging situation in the target area. At this time, the monitoring system can further determine that the above safety assessment result indicates that the charging safety index of the target area does not meet the preset conditions.

[0052] For example, the monitoring system can use image processing techniques such as edge detection and contour extraction to process the above image information in order to identify the location and status of new energy vehicles and charging equipment in the target area. If the new energy vehicle is found to have moved or the charging equipment is found to be smoking, the monitoring system can determine that the above status information indicates that there is an abnormal charging situation in the target area, and determine that the above safety assessment result indicates that the charging safety index of the target area does not meet the preset conditions.

[0053] Furthermore, the image information includes visual image information and thermal imaging image information; the image information is analyzed to obtain the state information of the target area, including: inputting the visual image information into a visual analysis model, analyzing the visual image information using the visual analysis model to obtain visual state information, wherein the visual state information is used to characterize whether the new energy vehicle in the target area has undergone displacement; inputting the thermal imaging image information into a temperature analysis model, analyzing the thermal imaging image using the temperature analysis model to obtain temperature state information, wherein the temperature state information is used to characterize whether the temperature of the new energy vehicle is within a preset temperature range; and constructing state information based on the visual state information and the temperature state information.

[0054] The aforementioned visual image information can refer to visible light images captured by monitoring equipment, which reflect information such as the color, shape, and position of the target area within the visible light range. This information can be used to monitor changes in the position of new energy vehicles, such as whether any abnormalities have occurred.

[0055] The aforementioned thermal imaging information can be infrared radiation information of the target area captured by monitoring equipment, which can be converted into a temperature distribution image. This image is not affected by light and is important for detecting thermal anomalies in new energy vehicle batteries.

[0056] The aforementioned visual analysis model can be a model built based on deep learning or machine learning algorithms, used to analyze visual image information and identify the motion state of new energy vehicles, thereby determining whether new energy vehicles have generated abnormal movements.

[0057] The aforementioned visual state information can be the result of visual analysis model analyzing visual image information. It is used to describe whether new energy vehicles in the target area have any abnormalities, thereby helping to determine whether new energy vehicles are in a normal preparation state.

[0058] The temperature analysis model mentioned above can be a model built based on deep learning or machine learning algorithms, used to analyze the temperature distribution in thermal imaging image information, thereby identifying whether the battery temperature of new energy vehicles in the target area is within the preset temperature range.

[0059] The temperature status information mentioned above can be the result of the temperature analysis model analyzing the thermal imaging image information. It is used to describe the temperature of the new energy vehicle battery in the target area, that is, whether the battery temperature is within the preset safe temperature range. If the battery temperature rises abnormally, the temperature status information will identify this state and provide a basis for safety warning.

[0060] In one optional embodiment, considering that visual image information can reflect the location, appearance, and other visible environmental factors of the new energy vehicle, while thermal imaging image information can display the temperature distribution of an object, it is more effective for detecting potential heat sources and temperature anomalies. To ensure the accuracy of identifying abnormal charging states, the monitoring system can comprehensively analyze the aforementioned visual and thermal imaging image information to obtain more accurate state information of the target area. Based on this, the monitoring system can input the visual image information into a visual analysis model and analyze it. This model can identify whether the new energy vehicle in the target area has shifted, thereby constructing the aforementioned visual state information. Furthermore, the monitoring system can also input the thermal imaging image information into a temperature analysis model and analyze it. This model can analyze whether the temperature of the new energy vehicle is within a preset temperature range, thereby obtaining temperature state information. Subsequently, the monitoring system can combine the visual state information and the temperature state information to form a complete state information, which helps to more accurately determine the overall safety status of the new energy vehicle.

[0061] For example, the monitoring system can train a visual analysis model based on a deep learning framework. This model can identify the location of new energy vehicles and their position changes at different times. In practical applications, the monitoring system can perform preprocessing on the captured visual images, such as grayscale conversion, noise reduction, and edge detection. Then, it can extract features from the preprocessed visual images and input these features into the aforementioned visual analysis model. This model can output information about whether the new energy vehicle has shifted. This allows the monitoring system to compare images of the same new energy vehicle at different times and detect changes in the vehicle's position to determine whether the vehicle has moved, thereby obtaining the aforementioned visual state information.

[0062] Furthermore, the monitoring system can employ machine learning algorithms such as support vector machines, random forests, or neural networks to train a temperature analysis model, enabling the model to identify and classify different temperature states. In practical applications, the monitoring system can input thermal imaging images into the model, which can then extract temperature data from the thermal imaging images and perform temperature state analysis to determine whether the temperature of the new energy vehicle is within a preset temperature range, thereby constructing the aforementioned temperature state information.

[0063] Finally, the monitoring system can combine visual and temperature status information to form comprehensive status information, and based on this status information, construct an overall charging safety index for the target area according to preset rules.

[0064] Furthermore, based on visual state information and temperature state information, state information is constructed, including: if the new energy vehicle in the target area represented by the visual state information undergoes displacement, or if the temperature of the new energy vehicle is not within the preset temperature range as represented by the temperature state information, it is determined that there is an abnormal charging state in the target area represented by the state information; if the new energy vehicle in the target area represented by the visual state information does not undergo displacement, and the temperature of the new energy vehicle is within the preset temperature range as represented by the temperature state information, it is determined that there is no abnormal charging state in the target area represented by the state information.

[0065] In one optional embodiment, considering that visual status information can reflect whether the new energy vehicle is exhibiting abnormal behavior, while temperature status information can reflect the temperature of the new energy vehicle during charging, combining these two types of information allows the monitoring system to construct more comprehensive status information, improving the accuracy and timeliness of anomaly detection. Specifically, if visual status information indicates that the new energy vehicle has shifted, or if temperature status information indicates that the battery temperature exceeds a preset safety range, this indicates potential operational errors, equipment malfunctions, or early signs of battery thermal runaway. In this case, the status information will be identified as an abnormal charging state, triggering alarms and corresponding safety measures, such as power outages and activation of fire suppression systems, to prevent potential safety accidents. Conversely, if visual status information shows that the new energy vehicle has not shifted, and temperature status information shows that the battery temperature is within a preset safety range, then the above status information can be identified as a safe charging state, indicating that the charging process of the new energy vehicle is normal, without potential safety risks, and can continue. By constructing the above status information, preventative measures can be taken in a timely manner to prevent abnormal charging states from escalating into safety accidents. At the same time, this mechanism can also reduce false alarms, avoid unnecessary interruptions and inspections, and improve the efficiency and safety of the new energy vehicle charging process.

[0066] Furthermore, acquiring monitoring data collected by any one of the multiple monitoring devices includes: constructing a local area network (LAN) to connect the multiple monitoring devices; and acquiring monitoring data from any one of the monitoring devices based on the LAN.

[0067] The aforementioned local area network can be used to connect multiple monitoring devices, enabling these monitoring devices to transmit monitoring data to the monitoring system.

[0068] In one optional embodiment, considering that there may be multiple charging areas in the maintenance room, and each charging area can be equipped with monitoring devices, a local area network can be constructed to connect the multiple monitoring devices in order to achieve coordinated operation. This allows the monitoring system to achieve full-range safety monitoring, thereby improving the efficiency of the monitoring system in processing monitoring data. In practical applications, the monitoring system can acquire monitoring data from any one of the multiple monitoring devices at any time based on the aforementioned local area network, thus ensuring the real-time nature and effectiveness of the monitoring data.

[0069] For example, the maintenance room may have multiple charging areas, each pre-equipped with a thermal imaging canister camera. To ensure the real-time performance and accuracy of the monitoring data captured by these cameras, a local area network (LAN) can be established to connect the multiple cameras. Once the monitoring system is started, the LAN status can be checked to confirm that all thermal imaging canister cameras are online. Then, the system can begin collecting data from each camera. In this way, the monitoring system can continuously acquire data from all thermal imaging canister cameras, achieving comprehensive monitoring of the maintenance room environment.

[0070] Furthermore, the method also includes: constructing a data transmission interface, wherein the data transmission interface is used to transmit monitoring data; upon detecting a data acquisition request sent by a requesting party, obtaining the identity identifier of the requesting party; authenticating the requesting party based on the identity identifier; and, upon successful authentication, transmitting the monitoring data to the requesting party using the data transmission interface.

[0071] The aforementioned data transmission interface can be an interface for transmitting monitoring data collected by the monitoring device to the requesting party in a secure and efficient manner. For example, the data transmission interface can adopt standard protocols such as TCP / IP (Transmission Control Protocol / Internet Protocol), HTTP / HTTPS (Hypertext Transfer Protocol / Hypertext Transfer Protocol Secure), FTP (File Transfer Protocol), etc., to ensure reliable data transmission in the network and can encrypt the transmission to ensure data security.

[0072] The sender of the above request can be any entity or system that needs to access the monitoring data.

[0073] The aforementioned identity identifier can be an identifier used to identify the sender of the request, and may include, but is not limited to: username, device ID, MAC (Media Access Control) address, IP address, or digital certificate, to verify whether the sender of the request is authorized to access sensitive monitoring data. Only requesters with verified and valid identities can obtain the monitoring data, thus preventing unauthorized third parties from accessing and tampering with the monitoring data, thereby ensuring the security of the monitoring data.

[0074] In one optional embodiment, considering that the monitoring data collected by the monitoring equipment needs to be transmitted in real time to the monitoring system or the equipment of the staff for analysis and viewing, the monitoring system can integrate a data transmission interface to ensure the stability and efficiency of data transmission. This interface is responsible for the transmission of monitoring data, ensuring that the data can be accurately delivered to the designated recipient when needed. Furthermore, considering that not all data requesters have permission to access the monitoring data, the monitoring system also needs to identify the requester to prevent unauthorized access. Specifically, when a data acquisition request is sent by the requester, the monitoring system first captures the request and then extracts the requester's identity information. Subsequently, based on this identity, the monitoring system automatically executes an authentication process to determine whether the requester has the authority to receive the monitoring data. Only after successful authentication, i.e., confirming that the requester's identity is legitimate and has the necessary permissions, will the data transmission interface be activated, thereby transmitting the monitoring data to the requester and achieving secure information sharing. This design not only strengthens the security of the monitoring system and prevents unauthorized access but also ensures the effective transmission of monitoring data, enabling staff to monitor the security status of the maintenance room in real time and respond promptly to potential danger signals.

[0075] For example, when a staff member sends a data request via a web interface, the monitoring system first obtains the staff member's identification information, such as employee ID or account information. Then, it verifies the staff member's identity to confirm whether they have permission to view the monitoring data. If verification is successful, the monitoring system can use a pre-built data transmission interface to transmit real-time monitoring data to the staff member, allowing them to remotely monitor the charging safety status of new energy vehicles in the maintenance room and promptly identify and address potential safety hazards. Conversely, if authentication fails, the monitoring system will reject the staff member's transmission request to ensure data security.

[0076] Furthermore, based on monitoring data and security assessment results, target alarm information is output, including: determining the location information of the target area based on monitoring data, and determining the alarm cause of the target area based on security assessment results; constructing initial alarm information based on location information and alarm cause; converting the format of the initial alarm information based on the receiving device type of the requesting sender to obtain target alarm information; and outputting the target alarm information to the requesting sender.

[0077] The aforementioned location information can be specific location data of the target area captured by monitoring equipment, including but not limited to: the precise coordinates of the target area, the area's identifier, etc., in order to quickly locate the area where abnormal temperature changes occur.

[0078] The above alarm reasons can be determined based on the results of a safety assessment, which may include, but are not limited to, causes of abnormal charging states such as battery thermal runaway, charging equipment failure, and vehicle malfunction, in order to help the monitoring system take targeted safety measures.

[0079] The initial alarm information mentioned above can be constructed by combining location information and alarm cause, and is an alarm information that has not been formatted.

[0080] The aforementioned receiving device type can be the type of information receiving terminal used by the requesting sender. Due to differences in display characteristics and user habits among different receiving devices, the initial alarm information needs to be formatted to ensure clear and accurate display on the receiving device.

[0081] In one optional embodiment, knowing the precise location of the alarm event and the specific cause of the alarm allows staff to directly pinpoint the source of the problem and take targeted safety measures, thereby reducing staff response time and avoiding blind searches of the entire maintenance room. Therefore, the monitoring system can first determine the specific location information of the target area corresponding to the monitoring data, and can determine the cause of the alarm in the target area based on the security assessment results. Subsequently, to effectively inform the requesting party of the aforementioned location information and alarm cause, the monitoring system can construct initial alarm information based on the location information and alarm cause. Since the format of this initial alarm information may not be compatible with the receiving device type of the requesting party, to avoid judgment errors caused by this incompatibility, the monitoring system can further obtain the receiving device type of the requesting party and perform format conversion on the initial alarm information based on the receiving device type to obtain the target alarm information, making the target alarm information compatible with the aforementioned receiving device type, thereby improving the accuracy of the target alarm information. Finally, the monitoring system can output the aforementioned target alarm information to the requesting party, enabling the requesting party to react quickly when faced with security risks, thereby minimizing the probability of accidents.

[0082] For example, a thermal imaging tube camera in the maintenance room detects an abnormal temperature rise in a target area. Analysis of the monitoring data determines that the target area is located at the southeast corner of the maintenance room's charging station, and the abnormal temperature rise is due to signs of thermal runaway within the battery pack of a new energy vehicle that is currently charging. The monitoring system then constructs an initial alarm message based on this location information and the cause of the alarm: "Southeast corner charging station, risk of thermal runaway in new energy vehicle battery pack." To accommodate different receiving devices, the monitoring system automatically converts the format of the initial alarm message. For web users, the complete message is displayed, while for mobile users, it is simplified to "Thermal runaway risk - southeast corner charging station." Finally, depending on the type of receiving device used by different personnel, the monitoring system can push the target alarm message to them separately, ensuring timely and effective notification and response.

[0083] For ease of understanding, Figure 2 This is a schematic diagram of an optional monitoring device deployment scenario according to an embodiment of the present invention, such as... Figure 2 As shown, the scenario includes an office 202, a substation 204, a charging room 206, multiple charging areas 208 (only four are shown in the figure), and thermal imaging tube cameras 210 (only four are shown in the figure). One thermal imaging tube camera 210 is deployed in each of the multiple charging areas 208 to monitor the new energy vehicles and the environment within the charging area 208 in real time. Staff can view the monitoring data collected by the thermal imaging tube cameras 210 in real time via mobile terminals. If any abnormality is detected, the monitoring system will issue an audible and visual alarm to remind staff to pay attention to the abnormal situation and take appropriate measures.

[0084] According to an embodiment of the present invention, an embodiment of a device for improving the safety of new energy vehicles is provided. It should be noted that this device can be used to execute the aforementioned method for improving the safety of new energy vehicles. The specific implementation process and application scenarios are the same as those in the above embodiment, and will not be repeated here. Figure 3 This is a schematic diagram of a device for improving the safety of new energy vehicles according to an embodiment of the present invention, such as... Figure 3 As shown, the device includes:

[0085] The first acquisition module 302 is used to acquire monitoring data collected by any one of the multiple monitoring devices, wherein the multiple monitoring devices are deployed in multiple areas, and different areas are used to characterize the areas where different new energy vehicles are charged.

[0086] The first evaluation module 304 is used to evaluate the target area corresponding to the monitoring data based on the monitoring data, and obtain the safety evaluation result of the target area. The safety evaluation result is used to characterize whether the charging safety index of the target area meets the preset conditions.

[0087] The information output module 306 is used to output target alarm information based on monitoring data and safety assessment results when the safety assessment results indicate that the charging safety indicators do not meet the preset conditions. The target alarm information is used to prompt the implementation of safety measures for the target area.

[0088] Furthermore, the monitoring data includes: image information of the target area; the first evaluation module is also used to: analyze the image information to obtain the status information of the target area, wherein the status information is used to characterize whether there is an abnormal charging state in the target area; if the status information characterizes that there is an abnormal charging state in the target area, the safety evaluation result is determined to indicate that the charging safety index of the target area does not meet the preset conditions.

[0089] Furthermore, the image information includes visual image information and thermal imaging image information; the first evaluation module is also used to: input the visual image information into a visual analysis model, analyze the visual image information using the visual analysis model to obtain visual state information, wherein the visual state information is used to characterize whether the new energy vehicle in the target area has undergone displacement; input the thermal imaging image information into a temperature analysis model, analyze the thermal imaging image using the temperature analysis model to obtain temperature state information, wherein the temperature state information is used to characterize whether the temperature of the new energy vehicle is within a preset temperature range; and construct state information based on the visual state information and the temperature state information.

[0090] Furthermore, the first evaluation module is also used to: determine that there is an abnormal charging state in the target area represented by the state information when the new energy vehicle in the visual state information representation target area moves or the temperature of the new energy vehicle represented by the temperature state information is not within the preset temperature range; and determine that there is no abnormal charging state in the target area represented by the state information representation target area when the new energy vehicle in the visual state information representation target area does not move and the temperature of the new energy vehicle represented by the temperature state information is within the preset temperature range.

[0091] Furthermore, the first acquisition module is also used to: construct a local area network, wherein the local area network is used to connect multiple monitoring devices; and acquire monitoring data from any one of the monitoring devices based on the local area network.

[0092] Furthermore, the device also includes: an interface construction module for constructing a data transmission interface, wherein the data transmission interface is used to transmit monitoring data; an identifier acquisition module for acquiring the identity identifier of the requesting party when a data acquisition request is detected; an authentication module for authenticating the requesting party based on the identity identifier; and a data transmission module for transmitting monitoring data to the requesting party using the data transmission interface when authentication is successful.

[0093] Furthermore, the information output module is also used to: determine the location information of the target area based on monitoring data, and determine the alarm cause of the target area based on the security assessment results; construct initial alarm information based on the location information and alarm cause; convert the format of the initial alarm information based on the receiving device type of the requesting sender to obtain the target alarm information; and output the target alarm information to the requesting sender.

[0094] Embodiments of the present invention also provide an electronic device, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods of various embodiments of the present invention during runtime.

[0095] Embodiments of the present invention also provide a computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0096] Embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0097] Embodiments of the present invention also provide a computer program product, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the methods of various embodiments of the present invention.

[0098] Embodiments of the present invention also provide a computer program that, when executed by a processor, implements the methods described in the various embodiments of the present invention.

[0099] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0100] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0101] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0102] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0103] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0104] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0105] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for improving the safety of a new energy vehicle, characterized in that, The method comprises: obtaining monitoring data collected by any one of a plurality of monitoring devices, wherein the plurality of monitoring devices are respectively deployed in a plurality of regions, and different regions are used to represent regions for charging different new energy vehicles; based on the monitoring data, evaluating a target region corresponding to the monitoring data to obtain a safety evaluation result of the target region, wherein the safety evaluation result is used to represent whether a charging safety index of the target region meets a preset condition; in the case that the safety evaluation result represents that the charging safety index does not meet the preset condition, based on the monitoring data and the safety evaluation result, outputting target alarm information, wherein the target alarm information is used to prompt to take safety measures on the target region.

2. The method for improving the safety of a new energy vehicle in a prepared state according to claim 1, characterized in that, The monitoring data comprises image information of the target region; based on the monitoring data, a target region corresponding to the monitoring data is evaluated to obtain a safety evaluation result of the target region, comprising: analyzing the image information to obtain state information of the target region, wherein the state information is used to represent whether the target region has an abnormal charging state; in the case that the state information represents that the target region has the abnormal charging state, it is determined that the safety evaluation result represents that the charging safety index of the target region does not meet the preset condition.

3. The method for improving the safety of a new energy vehicle in a prepared state according to claim 2, characterized in that, The image information comprises visual image information and thermal imaging image information; analyzing the image information to obtain state information of the target region, comprising: inputting the visual image information into a visual analysis model, and using the visual analysis model to analyze the visual image information to obtain visual state information, wherein the visual state information is used to represent whether a new energy vehicle in the target region has displacement; inputting the thermal imaging image information into a temperature analysis model, and using the temperature analysis model to analyze the thermal imaging image to obtain temperature state information, wherein the temperature state information is used to represent whether the temperature of the new energy vehicle is within a preset temperature range; based on the visual state information and the temperature state information, constructing the state information.

4. The method for improving the safety of a new energy vehicle in a prepared state according to claim 3, characterized in that, Based on the visual state information and the temperature state information, the state information is constructed, comprising: in the case that the visual state information represents that the new energy vehicle in the target region has displacement, or the temperature state information represents that the temperature of the new energy vehicle is not within the preset temperature range, it is determined that the state information represents that the target region has the abnormal charging state; in the case that the visual state information represents that the new energy vehicle in the target region has no displacement, and the temperature state information represents that the temperature of the new energy vehicle is within the preset temperature range, it is determined that the state information represents that the target region does not have the abnormal charging state.

5. The method for improving the safety of a new energy vehicle in a ready state according to any one of claims 1 to 4, characterized in that, Obtaining monitoring data collected by any one of a plurality of monitoring devices, comprising: constructing a local area network, wherein the local area network is used to connect the plurality of monitoring devices; Based on the local network, monitoring data of the arbitrary monitoring device is acquired.

6. The method for improving the safety of a new energy vehicle in a prepared state according to claim 5, characterized in that, The method further comprises: a data transmission interface is constructed, wherein the data transmission interface is used for transmitting the monitoring data; in the case that a data acquisition request sent by a request sender is detected, an identity of the request sender is acquired; based on the identity, the request sender is authenticated; in the case that the authentication is successful, the monitoring data is transmitted to the request sender by using the data transmission interface.

7. The method for improving the safety of a new energy vehicle in a prepared state according to claim 5, characterized in that, based on the monitoring data and the security evaluation result, target alarm information is output, comprising: based on the monitoring data, position information of the target area is determined, and based on the security evaluation result, an alarm cause of the target area is determined; based on the position information and the alarm cause, initial alarm information is constructed; based on a receiving device type of the request sender, the initial alarm information is format-converted to obtain the target alarm information; the target alarm information is output to the request sender.

8. An electronic device, comprising: comprise: a memory storing an executable program; a processor configured to run the program, wherein the program, when running, executes the method of any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium comprises a stored executable program, wherein the executable program, when running, controls a device where the storage medium is located to execute the method of any one of claims 1 to 7.

10. A computer program product, characterised in that, comprise a computer program which, when executed by a processor, implements the method of any one of claims 1 to 7.

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