Vehicle fire early warning method, device and equipment and storage medium

Abstract

The invention relates to the technical field of vehicle fire early warning, in particular to a vehicle fire early warning method, device and equipment and a storage medium. Vehicle all-round images, real-time tire pressure signals and an in-vehicle fault signal recording table are obtained, abnormal heat sources outside a vehicle body are recognized according to the all-round images, and the abnormal tire pressure change is judged according to the tire pressure signals; and determining the confidence coefficient of vehicle body fire caused by the external fire source by combining the two, performing fault concurrency analysis on the in-vehicle fault signal, determining the confidence coefficient of vehicle internal fire, and finally generating vehicle fire early warning information of different grades according to the internal and external confidence coefficients and uploading the information to a user terminal. According to the scheme, early-stage accurate recognition of the vehicle fire risk is achieved, various potential fire risk factors inside and outside the vehicle can be comprehensively monitored, fire hazards caused by ignition of an external fire source or internal electrical faults can be timely perceived, and the timeliness and accuracy of fire early warning are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle fire warning technology, and in particular to a vehicle fire warning method, device, equipment and storage medium. Background Art

[0002] With the continued growth of global vehicle ownership and the rapid adoption of electrification and intelligent technologies, vehicle safety is gaining increasing attention. Electric vehicles, due to the high energy density of their batteries, pose a more complex fire risk. Traditional fire prevention methods rely primarily on physical flame retardants and post-fire suppression, making early warning difficult. Against this backdrop, the development of intelligent connected technology offers the potential for proactive prevention of vehicle fires. Building fire warning systems through multi-source data fusion and real-time analysis has become a key approach to improving driving safety.

[0003] The causes of vehicle fires vary widely and are complex, but can be broadly categorized into two main categories. One is ignition from external sources, such as open flames, sparks, or hot objects while the vehicle is driving or parked. These external sources can easily ignite flammable materials on the vehicle's exterior, such as rubber, plastic, and other organic materials in tires, body cladding, and rearview mirrors, rapidly spreading throughout the vehicle and causing a fire. The other is internal vehicle fires, often caused by faults in the vehicle's electrical system. Modern vehicles have increasingly complex electrical systems, comprised of numerous electronic components and wiring. Faults such as short circuits, overloads, or poor contact can cause sparks or high temperatures to ignite surrounding insulation and wiring harnesses, leading to internal vehicle fires.

[0004] Therefore, how to effectively integrate the identification of external fire sources and internal fire risks, and comprehensively evaluate and generate accurate fire warning levels to guide subsequent response measures has become a technical problem that urgently needs to be solved in this industry. Summary of the Invention

[0005] The main purpose of the present invention is to provide a vehicle fire warning method, device, equipment and storage medium, aiming to solve the technical problem in the existing technology of how to effectively integrate the identification of external fire sources and internal fire risks, and comprehensively evaluate and generate accurate fire warning levels to guide subsequent response measures.

[0006] To achieve the above object, the present invention provides a vehicle fire warning method, which includes the following steps: Obtain vehicle surround view images, real-time tire pressure signals, and in-vehicle fault signal records; determining an abnormal heat source identification result outside the vehicle body based on the vehicle surround view image, and determining an abnormal tire pressure change identification result based on the real-time tire pressure signal; determining a confidence level that the vehicle body fire was caused by an external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; performing a fault concurrency analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of the fault concurrency, and determining a confidence level result of a fire inside the vehicle based on the spatial concentration degree of the fault concurrency; Based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the vehicle interior fire, a vehicle fire warning information of a preset level is generated, and the warning information is uploaded to the user terminal to remind the user to deal with the dangerous situation in time.

[0007] Optionally, determining the abnormal heat source identification result outside the vehicle body based on the vehicle surround view image includes: Performing infrared spectrum analysis on the vehicle surround view image to obtain an infrared spectrum of the area surrounding the vehicle body; Determining temperature anomaly points on the vehicle body contour and temperature anomaly points in the vehicle body surrounding area based on the infrared spectrum of the vehicle body surrounding area; If the distance between the temperature abnormal point on the vehicle body contour and the temperature abnormal point in the vehicle body surrounding area is less than a preset safety distance, the temperature abnormal point in the vehicle body surrounding area is used as the abnormal heat source identification result outside the vehicle body.

[0008] Optionally, the determining of the confidence level of the external fire source causing the vehicle body fire based on the abnormal heat source identification result outside the vehicle body includes: obtaining the infrared radiation intensity of the abnormal heat source, and determining the temperature of the abnormal heat source according to the infrared radiation intensity; determining an ignition risk coefficient based on the temperature of the abnormal heat source and the relative distance between the abnormal heat source and an adjacent vehicle body contour; Determining the material properties of the adjacent vehicle body contour according to the spatial position of the adjacent vehicle body contour on the own vehicle; A confidence result of the vehicle body fire being caused by an external fire source is obtained based on the ignition risk coefficient and the material properties of the adjacent vehicle body contour.

[0009] Optionally, determining the confidence level of the vehicle body fire caused by an external fire source based on the abnormal tire pressure change recognition result includes: determining an abnormal tire based on the real-time tire pressure signal and a standard tire pressure range; determining a tire pressure change trend and a tire pressure change rate based on the real-time tire pressure signal of the abnormal tire; If the tire pressure change trend shows an increasing trend and the tire pressure change rate is greater than the normal inflation rate, it is determined that the abnormal tire has a risk of ignition; The confidence level that the vehicle body fire was caused by an external fire source is determined based on the relative distance between the abnormal tire that poses an ignition risk and the external abnormal heat source.

[0010] Optionally, performing a concurrent fault analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of concurrent faults, and determining a confidence result of a fire inside the vehicle based on the spatial concentration degree of concurrent faults, includes: According to the in-vehicle fault signal record table, determining the electronic components and related signal transmission lines corresponding to each fault one by one; Determine the spatial location of the electronic device corresponding to the fault and the spatial location of the signal transmission line in the vehicle based on the vehicle electronic circuit diagram; Calculate the spatial concentration of the faults based on the spatial locations of the electronic components corresponding to the faults in the vehicle and the spatial locations of the corresponding signal transmission lines in the vehicle; Determine the temporal concentration of concurrent faults based on the triggering time of each fault within a preset time period and the changing trend of the number of faults; A confidence result of the fire inside the vehicle is determined based on the spatial concentration degree of the concurrent faults and the temporal concentration degree of the concurrent faults.

[0011] Optionally, calculating the spatial concentration of concurrent faults according to the spatial positions of the electronic components corresponding to the respective faults in the vehicle and the spatial positions of the corresponding signal transmission lines in the vehicle includes: Determining the affected transmission area of ​​each fault based on the spatial location of the electronic device in the vehicle and the spatial location of the corresponding signal transmission line; Superimpose the affected transfer areas that cause each fault to obtain the superimposed impact area; Performing cluster analysis on the superimposed impact area to generate a fault distribution heat map; Based on the radiation range of the peak area in the thermal map and the superposition density of the fault areas, the spatial concentration degree of the fault concurrency is calculated.

[0012] Optionally, generating vehicle fire warning information of a preset level based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the vehicle interior fire includes: If the external fire source confidence exceeds the first preset threshold and the internal fire confidence is lower than the second preset threshold, it is determined that the fire was ignited by the external fire source, a first-level warning message is generated, and the vehicle horn is activated to warn of the danger; If the internal fire confidence exceeds the second preset threshold and the external fire source confidence is lower than the first preset threshold, it is determined to be a spontaneous combustion of the electrical system, a second-level warning message is generated, the vehicle horn is activated to warn of the danger, and a local power outage is implemented for protection; If the confidence levels of both the external fire source and the internal fire exceed their respective thresholds at the same time, it is judged as a composite high-risk fire, a third-level warning is generated, and real-time vehicle positioning and fire level information are sent to the cloud monitoring platform.

[0013] In addition, to achieve the above-mentioned purpose, the present invention further provides a vehicle fire warning device, which includes: Data acquisition module, used to obtain vehicle surround view images, real-time tire pressure signals, and in-vehicle fault signal records; a data processing module, configured to determine an identification result of an abnormal heat source outside the vehicle body based on the vehicle surround view image, and determine an identification result of an abnormal tire pressure change based on the real-time tire pressure signal; The data processing module is further configured to determine a confidence level that the vehicle body fire was caused by an external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; The data processing module is further configured to perform a concurrent fault analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of concurrent faults, and determine a confidence level of a fire inside the vehicle based on the spatial concentration degree of concurrent faults; The warning information generation module is used to generate vehicle fire warning information of a preset level based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the internal vehicle fire, and upload the warning information to the user terminal to remind the user to deal with the dangerous situation in a timely manner.

[0014] In addition, to achieve the above-mentioned purpose, the present invention also proposes a vehicle fire warning device, which includes: a memory, a processor, and a vehicle fire warning program stored on the memory and executable on the processor, wherein the vehicle fire warning program is configured to implement the steps of the vehicle fire warning method described above.

[0015] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a vehicle fire warning program is stored. When the vehicle fire warning program is executed by a processor, the steps of the vehicle fire warning method described above are implemented.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: This solution obtains the vehicle's surround view image, real-time tire pressure signal, and a record of in-vehicle fault signals. It identifies abnormal heat sources outside the vehicle body based on the surround view image, determines abnormal tire pressure changes based on the tire pressure signal, and combines the two to determine the confidence level that the external fire source caused the vehicle body fire. It also performs a concurrent fault analysis on the in-vehicle fault signal to determine the confidence level of the vehicle's internal fire. Finally, based on the internal and external confidence levels, it generates different levels of vehicle fire warning information and uploads it to the user terminal. This solution achieves early and accurate identification of vehicle fire risks and can comprehensively monitor multiple potential fire risk factors inside and outside the vehicle. Whether it is ignition from an external fire source or internal electrical fault, it can promptly detect fire hazards, significantly improving the timeliness and accuracy of fire warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1 This is a flow chart of a first embodiment of a vehicle fire warning method according to the present invention; Figure 2 This is a flow chart of a second embodiment of the vehicle fire warning method of the present invention; Figure 3 This is a structural block diagram of a first embodiment of a vehicle fire warning device according to the present invention; Figure 4 It is a structural diagram of a vehicle fire warning device in a hardware operating environment involved in an embodiment of the present invention.

[0020] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0021] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0022] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0023] The main solution of the embodiment of the present application is: obtaining a vehicle surround view image, a real-time tire pressure signal, and a vehicle fault signal record table; determining the abnormal heat source identification result outside the vehicle body based on the vehicle surround view image, and determining the abnormal tire pressure change identification result based on the real-time tire pressure signal; determining the confidence result that the vehicle body fire was caused by an external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; performing a fault concurrency analysis based on the vehicle body fault signal record table to obtain the spatial concentration degree of fault concurrency, and determining the confidence result of the vehicle interior fire based on the spatial concentration degree of fault concurrency; generating a preset level of vehicle fire warning information based on the confidence result that the vehicle body fire was caused by the external fire source and the confidence result of the vehicle interior fire, and uploading the warning information to the user terminal to remind the user to deal with the dangerous situation in time.

[0024] Currently, vehicles encounter unexpected fire sources such as open flames, sparks, and high-temperature objects while driving or parked. These external fire sources can easily ignite flammable materials on the vehicle's exterior, such as rubber, plastic, and other organic materials in tires, body cladding, and rearview mirrors. This fire can then quickly spread throughout the vehicle, causing a fire. Furthermore, modern vehicles' electrical systems are increasingly complex, consisting of numerous electronic components and circuits. Once a short circuit, overload, or poor contact occurs, the resulting sparks or high temperatures can ignite surrounding insulation materials, wiring harness sheaths, and other components, leading to a fire inside the vehicle. Therefore, effectively integrating the identification of external fire sources with internal fire risks, and comprehensively assessing and generating accurate fire warning levels to guide subsequent response measures, is a technical challenge that urgently needs to be addressed.

[0025] This application acquires a vehicle's surround-view image, real-time tire pressure signals, and a record of internal fault signals. It then identifies abnormal heat sources outside the vehicle body based on the surround-view image, determines abnormal tire pressure changes based on the tire pressure signals, and combines these two to determine the confidence level that the external fire source caused the vehicle body fire. It also performs a concurrent fault analysis on the internal fault signals to determine the confidence level that the vehicle fire started internally. Finally, based on the internal and external confidence levels, it generates different levels of vehicle fire warning information and uploads it to the user terminal. This solution has significant benefits. First, it enables early and accurate identification of vehicle fire risks. It comprehensively monitors multiple potential fire risk factors inside and outside the vehicle, allowing for timely detection of fire hazards, whether caused by external fire sources or internal electrical faults, significantly improving the timeliness and accuracy of fire warnings. Second, it generates different levels of warning information and implements corresponding warning and protective measures, such as vehicle horn warnings, local power outage protection, and sending location and fire severity information to a cloud monitoring platform. This provides drivers and passengers with ample emergency response time, facilitates rapid action to reduce fire losses, and protects lives and property. This is of great significance for improving the overall fire safety level of vehicles. Third, the integration of multiple information for comprehensive analysis improves the reliability of fire warnings, reduces the possibility of false alarms and missed alarms, and enables drivers and passengers to trust the warning system more, thus playing an important role at critical moments.

[0026] It should be noted that the implementation of the present invention may be a vehicle fire warning device, a computing service device with data processing, network communication, and program execution capabilities, such as a tablet computer, personal computer, or mobile phone, or a thermal management device for a vehicle fire warning device capable of performing the aforementioned functions. This embodiment does not specifically limit this. This embodiment and the following embodiments will be described below using the vehicle fire warning device as the implementation.

[0027] Based on this, the embodiment of the present application provides a vehicle fire warning method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the vehicle fire warning method of the present application.

[0028] In this embodiment, the vehicle fire warning method includes steps S10 to S50: Step S10: Acquire the vehicle surround view image, real-time tire pressure signal, and in-vehicle fault signal record table.

[0029] It should be noted that the vehicle surround view image is a panoramic image of the vehicle's surroundings. Multiple cameras (usually four) are installed on the vehicle's front, rear, left, and right sides. These cameras capture real-time imagery of the vehicle's surroundings from different angles. These multi-angle images are then stitched and fused using image processing algorithms to create a complete, seamless 360-degree surround view of the vehicle's surroundings. The real-time tire pressure signal reflects the dynamic changes in tire pressure. When an external fire source affects the tire or vehicle body, tire pressure may increase abnormally, which can help further confirm the presence of an external fire source. The in-vehicle fault signal recorder is a detailed record of internal component failures uploaded to the vehicle computer. If a localized area within the vehicle ignites, communication lines and components within a certain range will exhibit spatially diffused concurrent failures. The number of concurrent failures and their spatial relationships can indirectly determine whether the vehicle's electronic circuits are faulty.

[0030] Step S20: determining an abnormal heat source identification result outside the vehicle body based on the vehicle surround view image, and determining an abnormal tire pressure change identification result based on the real-time tire pressure signal.

[0031] It's important to note that the vehicle's surround view image provides detailed visual information about the vehicle's surroundings. Image processing technology, particularly infrared thermal imaging analysis, can identify potential abnormal heat sources outside the vehicle. These heat sources could be external fires, hot objects, or other thermal anomalies. Furthermore, the real-time tire pressure signal reflects the dynamic changes in tire pressure and can be used to assist in determining whether the tire is being affected by external heat sources.

[0032] It's understandable that identifying abnormal heat sources outside the vehicle using surround-view images can promptly detect potential fire risks in the vehicle's external environment, such as flames, sparks, or hot objects close to the vehicle. Analyzing real-time tire pressure signals can also identify abnormal changes in tire pressure caused by external heat sources, as high temperatures cause the gas inside the tire to expand, leading to a rapid increase in tire pressure. These two complementary analysis results provide key confidence in subsequently determining the likelihood of an external fire source causing a vehicle fire, helping to improve the accuracy and timeliness of fire warnings.

[0033] In a feasible embodiment, determining the identification result of the abnormal heat source outside the vehicle body based on the vehicle surround view image includes: performing image infrared spectrum analysis on the vehicle surround view image to obtain an infrared spectrum of the area surrounding the vehicle body; determining the abnormal temperature points on the vehicle body contour and the abnormal temperature points in the area surrounding the vehicle body based on the infrared spectrum of the area surrounding the vehicle body; if the distance between the abnormal temperature points on the vehicle body contour and the abnormal temperature points in the area surrounding the vehicle body is lower than a preset safety distance, then taking the abnormal temperature points in the area surrounding the vehicle body as the identification result of the abnormal heat source outside the vehicle body.

[0034] It is understood that by performing infrared image analysis on the vehicle's surround view image, it is possible to monitor the heat sources around the vehicle in a non-contact, all-round manner. Specifically, after converting the vehicle's surround view image into an infrared image, the temperature distribution in different areas can be intuitively viewed, and abnormal temperature points in the vehicle body contour and surrounding areas can be accurately located. When the distance to these abnormal points is lower than the preset safety distance, it can be basically determined that the external heat source around the vehicle body will directly threaten the vehicle body. This analysis method based on image infrared images can not only promptly capture tiny temperature changes that are difficult to detect with the naked eye, but also effectively avoid interference with traditional visual monitoring caused by factors such as ambient light and obstacles.

[0035] Step S30: Determine the confidence level of the vehicle body fire caused by the external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result.

[0036] It should be noted that abnormal heat sources outside the vehicle body refer to abnormally high-temperature objects near the vehicle, such as cigarette butts on the ground, burning garbage, or sunlight focus points caused by reflection or refraction.

[0037] It is understandable that the results of identifying abnormal heat sources outside the vehicle body can directly reflect whether there is a potential fire threat around the vehicle, while the results of identifying abnormal tire pressure changes indirectly reflect whether the vehicle tires are affected by external heat sources. When both are abnormal and correlated, it can be basically determined that the vehicle has a high risk of fire. For example, if there is an abnormal heat source in a certain area outside the vehicle body, and the tire pressure of the corresponding side tire also increases abnormally, then the possibility of the external fire source causing the vehicle body fire is very high. At this time, a high confidence result can provide a strong basis for timely early warning measures.

[0038] In a feasible embodiment, the method of determining the confidence result of the vehicle body fire caused by an external fire source based on the abnormal heat source identification result outside the vehicle body includes: obtaining the infrared radiation intensity of the abnormal heat source, and determining the temperature of the abnormal heat source based on the infrared radiation intensity; determining the ignition risk coefficient based on the temperature of the abnormal heat source and the relative distance between the abnormal heat source and the adjacent vehicle body contour; determining the material properties of the adjacent vehicle body contour based on the spatial position of the adjacent vehicle body contour in the vehicle; and obtaining the confidence result of the vehicle body fire caused by an external fire source based on the ignition risk coefficient and the material properties of the adjacent vehicle body contour.

[0039] It's important to note that the temperature of an abnormal heat source can be determined based on its infrared radiation intensity. Generally speaking, a certain threshold temperature is required for ignition of vehicle-related materials, which can be used to determine whether the heat source poses an ignition threat. Secondly, a comprehensive consideration of the abnormal heat source's temperature, its relative distance from the vehicle body, and the vehicle's material properties is a scientific approach to determining the confidence level of an external fire source.

[0040] Understandably, vehicle body components made of different materials have different ignition points and thermal conductivity characteristics. For example, the heat resistance of rubber, plastic, and metal varies significantly. The closer the abnormal heat source is to the vehicle body and the higher its temperature, and the more flammable the corresponding material, the higher the ignition risk, and the higher the confidence that the external fire source caused the vehicle body fire. This multi-factor comprehensive analysis fully considers various key factors in the actual fire process, making fire warnings more accurate and reliable, and effectively improving the performance and practicality of vehicle fire warning systems.

[0041] Step S40: performing a fault concurrency analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of the fault concurrency, and determining a confidence result of a fire inside the vehicle based on the spatial concentration degree of the fault concurrency.

[0042] It should be noted that by statistically analyzing the spatial distribution characteristics of electrical faults in the vehicle and analyzing the physical spacing and line connection relationships of the electronic modules where each fault point is located, that is, the spatial concentration of concurrent faults, the possibility of fire inside the vehicle can be determined.

[0043] It's understandable that the spatial concentration of faults reflects the clustering of multiple faults in specific areas within the vehicle. If multiple faults are concentrated in a single area, such as the engine compartment, under the cockpit, or near the battery pack, which often contain a large number of electrical components and flammable materials, the risk of fire in that area increases significantly. This is because electrical faults can generate sparks or high temperatures, and flammable materials in these areas create conditions for the spread of fire.

[0044] It should be understood that, generally speaking, conventional faults propagate along functional lines. For example, an engine fault can affect either the downstream or upstream engine functions, while the affected functions are not necessarily spatially clustered. This means that functional issues caused by conventional faults are often associated with specific systems or components, and their impact is relatively dispersed spatially. In contrast, the situation is quite different for faults caused by open flames. Faults caused by open flames spread outward from the spatial location of the ignition point. This spread can cause simultaneous failures in different functional modules that are spatially close but not logically close. Due to the heat transfer and smoke diffusion effects of an open flame, the flames not only damage components directly exposed to the fire source but also rapidly affect other components and circuits in the surrounding area, causing failures in multiple different functions. Therefore, by analyzing whether faults are spatially clustered, it is possible to effectively distinguish between conventional faults and those caused by open flames, and thus more accurately determine whether there is a fire risk within the vehicle caused by open flames. This approach takes into account the mutual influence and clustering effects of faults. By analyzing the spatial distribution of faults, high-risk areas within the vehicle can be more accurately identified, providing a scientific basis for timely preventative measures. This approach helps detect and address potential electrical faults before a fire occurs, reducing the risk of fires within the vehicle and ensuring the safety of the vehicle and its passengers.

[0045] Step S50: Generate vehicle fire warning information of a preset level based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the vehicle interior fire, and upload the warning information to the user terminal to remind the user to deal with the dangerous situation in time.

[0046] It's important to note that the analysis results of the vehicle's external and internal fire risks in the previous steps are integrated to generate fire warning information with different levels by comprehensively evaluating the confidence level of the external fire source causing the vehicle body fire and the confidence level of the internal fire. This graded warning mechanism ensures that users can quickly understand the degree of fire risk faced by the vehicle based on the warning level, so that they can take appropriate countermeasures.

[0047] In a feasible embodiment, the confidence result of the external fire source causing the vehicle body fire and the confidence result of the internal fire of the vehicle are used to generate vehicle fire warning information of preset levels, including: if the external fire source confidence exceeds the first preset threshold and the internal fire confidence is lower than the second preset threshold, it is determined to be an external fire source ignition, a first-level warning information is generated, and the vehicle horn is activated for danger warning; if the internal fire confidence exceeds the second preset threshold and the external fire source confidence is lower than the first preset threshold, it is determined to be electrical system spontaneous combustion, a second-level warning information is generated, the vehicle horn is activated for danger warning and local power off protection is performed; if the external fire source and internal fire confidence exceed their respective thresholds at the same time, it is determined to be a compound high-risk fire, a third-level warning is generated, and real-time vehicle positioning and fire level information are sent to the cloud monitoring platform.

[0048] This embodiment obtains a surround-view image of the vehicle, a real-time tire pressure signal, and a record table of in-vehicle fault signals; determines an identification result of an abnormal heat source outside the vehicle body based on the surround-view image, and determines an identification result of an abnormal tire pressure change based on the real-time tire pressure signal; determines a confidence result that an external fire source caused a vehicle body fire based on the identification result of the abnormal heat source outside the vehicle body and the identification result of the abnormal tire pressure change; performs a fault concurrency analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of fault concurrency, and determines a confidence result of a vehicle interior fire based on the spatial concentration degree of fault concurrency; generates vehicle fire warning information of a preset level based on the confidence result that the external fire source caused the vehicle body fire and the confidence result of the vehicle interior fire, and uploads the warning information to a user terminal to remind the user to deal with the dangerous situation in a timely manner.

[0049] In summary, this technical solution obtains the vehicle's surround view imagery, real-time tire pressure signals, and a record of in-vehicle fault signals. It then identifies abnormal heat sources outside the vehicle body based on the surround view imagery, determines abnormal tire pressure changes based on the tire pressure signals, and combines these two factors to determine the confidence level that the external fire source caused the vehicle body fire. It also performs a concurrent fault analysis on the in-vehicle fault signals to determine the confidence level of the internal vehicle fire. Finally, based on the internal and external confidence levels, it generates different levels of vehicle fire warning information and uploads it to the user terminal. This solution enables early and accurate identification of vehicle fire risks and comprehensively monitors a variety of potential fire risk factors inside and outside the vehicle. Whether it's ignition from an external fire source or an internal electrical fault, it can promptly detect potential fire hazards, significantly improving the timeliness and accuracy of fire warnings.

[0050] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 In the vehicle fire warning method, step S40 includes steps S401 to S405: Step S401: According to the in-vehicle fault signal record table, the electronic components and related signal transmission lines corresponding to each fault are determined one by one.

[0051] It should be noted that the in-vehicle fault signal record table records the fault information of each electronic component and circuit of the vehicle in detail, and associates this fault information with specific electronic components and signal transmission circuits, laying the foundation for subsequent analysis.

[0052] It is understandable that the fault point will not necessarily be reported when the fault signal is uploaded. For example, a signal transmission line failure of the same functional component and a component body failure will be considered the same fault. Therefore, it is necessary to first regard any point on the entire upstream and downstream signal transmission lines of the component node as a potential fault source point.

[0053] Step S402: Determine the spatial location of the electronic device corresponding to the fault in the vehicle and the spatial location of the signal transmission line in the vehicle based on the electronic circuit diagram of the entire vehicle.

[0054] It's important to note that the vehicle electronic circuit diagram is a blueprint for the design of the vehicle's electronic systems, detailing the spatial locations of various electronic components and signal transmission lines within the vehicle. This diagram allows abstract fault information to be visualized as a specific fault location within the vehicle. Once the fault's spatial location within the vehicle is determined, the distribution of the fault within the vehicle can be visually analyzed, providing the necessary spatial information for subsequent analysis of the fault's spatial concentration.

[0055] It is understandable that since the positions of various components and lines in the space inside the vehicle are fixed, if components corresponding to multiple faults and signal transmission lines intersect multiple times in a certain area in space, it indicates that there may be systemic problems or potential line fire hazards in the area.

[0056] Step S403: Calculate the spatial concentration degree of the concurrent faults based on the spatial positions of the electronic components corresponding to the respective faults in the vehicle and the spatial positions of the corresponding signal transmission lines in the vehicle.

[0057] It's important to note that analyzing the spatial location of faulty electronic components and their signal transmission lines can provide a visual representation of the fault distribution within the vehicle. If multiple faults are concentrated in a single area, this indicates a systemic problem in that area, potentially leading to a fire caused by an electrical fault.

[0058] In a feasible implementation manner, the spatial concentration degree of concurrent faults is calculated based on the spatial positions of the electronic devices corresponding to the various faults in the vehicle and the spatial positions of the corresponding signal transmission lines in the vehicle, including: determining the affected transmission area of ​​each fault based on the spatial positions of the electronic devices in the vehicle and the spatial positions of the corresponding signal transmission lines; superimposing the affected transmission areas that cause each fault to obtain a superimposed impact area; performing cluster analysis on the superimposed impact area to generate a fault distribution heat map; and calculating the spatial concentration degree of concurrent faults based on the radiation range of the peak area in the heat map and the superposition density of the fault area.

[0059] It is understandable that the affected transmission area of ​​each fault is assigned a corresponding weight based on the degree of impact of the faults of different electronic components and signal transmission lines on the vehicle system. For example, the weight of the fault area of ​​the core control module may be higher than the fault area of ​​an ordinary sensor, thereby more accurately reflecting the severity of the overall impact. A multi-level clustering algorithm is used to partition the superimposed impact area, and the clustering results are optimized by combining spatial distance and fault type similarity (such as short circuit, open circuit or signal interference) to avoid misjudgment caused by a single spatial dimension. The peak area of ​​the heat map is matched with the actual layout of the vehicle's functional modules (such as the power distribution area and the communication bus topology) to verify whether the degree of spatial concentration is related to the physical distribution of critical systems. For example, if the high-density area covers multiple CAN bus nodes, bus interference issues need to be checked first.

[0060] It should be understood that quantitative analysis of spatial concentration can quickly locate local common fault sources. In the resulting fault distribution heat map, density gradients (such as the number of fault superpositions or weighted fault values ​​per unit area) are calculated to identify the diffusion trend of high-density areas and quantify the stability of spatial concentration. For example, a steep density gradient in the peak area indicates a high concentration of faults; a gentle gradient suggests a dispersed fault, which can be used to determine whether the fault was caused by a fire.

[0061] Step S404: Determine the temporal concentration of the concurrent faults according to the triggering time points of the faults within the preset time period and the changing trend of the number of faults.

[0062] It should be noted that the system uses a dynamic time window mechanism to monitor fault concurrency characteristics. For example, the basic monitoring window is 5 minutes. If the interval between consecutive faults is less than 20 seconds, or if the fault growth rate exceeds 3 times per minute, it indicates that there are external factors affecting the fault concurrency. Secondly, the monitoring window and trigger interval threshold can be adaptively adjusted according to the vehicle operating conditions (such as charging status). For example, the monitoring window for battery system faults during charging is shortened to 2 minutes, and the trigger interval threshold is reduced to 10 seconds to capture rapidly evolving fault chains.

[0063] It's understandable that the temporal concentration of faults is intended to determine whether faults occur in a specific time period. This helps determine whether faults occur randomly or with a certain regularity or continuity, thus providing temporal information for analyzing fault causes and fire risks. If multiple faults occur within a short period of time, it indicates an acute fault or sudden problem in the vehicle's electrical system. In this case, it's possible that multiple faults are creating a synergistic effect, such as sparks or short circuits, which can cause a fire.

[0064] Step S405: Determine a confidence result of a fire inside the vehicle based on the spatial concentration degree of the concurrent faults and the temporal concentration degree of the concurrent faults.

[0065] It's important to note that combining the spatial and temporal concentrations of concurrent faults to determine the confidence level for interior vehicle fires provides a more comprehensive assessment of interior vehicle fire risk. This approach analyzes fault characteristics from both spatial and temporal dimensions, improving the accuracy and reliability of fire warnings.

[0066] It's understandable that spatial concentration reflects the distribution of faults within the vehicle, while temporal concentration reflects the frequency and regularity of fault occurrence. Combining these two factors effectively distinguishes between routine faults and potential fire hazards, reducing false positives and missed positives. For example, if faults are spatially concentrated and occur frequently over time, the confidence score will be high, indicating a high risk of fire within the vehicle and requiring prompt action to investigate and address the issue.

[0067] In this embodiment, the electronic components and related signal transmission lines corresponding to each fault are determined one by one through the in-vehicle fault signal record table; the spatial positions of the electronic components corresponding to the fault in the vehicle and the spatial positions of the signal transmission lines in the vehicle are determined based on the electronic circuit map of the entire vehicle; the spatial concentration of the concurrent faults is calculated based on the spatial positions of the electronic components corresponding to the faults and the spatial positions of the corresponding signal transmission lines in the vehicle; the temporal concentration of the concurrent faults is determined based on the triggering time points of each fault within a preset time period and the changing trend of the number of faults; and the confidence result of the fire inside the vehicle is determined based on the spatial concentration of the concurrent faults and the temporal concentration of the concurrent faults.

[0068] In summary, this embodiment systematically analyzes the in-vehicle fault signal record table, combines it with the vehicle's electronic circuit diagram, accurately locates the spatial position of faulty components and circuits, quantifies the spatial and temporal concentration of concurrent faults, and comprehensively determines the confidence level of fire inside the vehicle, thereby achieving early and accurate warning of the risk of fire inside the vehicle. Compared with traditional monitoring methods, the beneficial effect of this solution is that it effectively avoids the one-sidedness of a single monitoring method by integrating fault feature analysis in spatial and temporal dimensions, significantly improves the accuracy of fire warnings, scientifically distinguishes between routine faults and fire hazards, reduces the false alarm rate, and ensures the reliability and effectiveness of warning information. This solution provides a comprehensive, intelligent, and accurate solution for vehicle fire prevention, effectively protecting the safety of vehicles and personnel.

[0069] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the vehicle fire warning method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0070] This application also provides a vehicle fire warning device, please refer to Figure 3 , the vehicle fire warning device includes: The data acquisition module 10 is used to obtain the vehicle surround view image, real-time tire pressure signal and in-vehicle fault signal record table; The data processing module 20 is configured to determine an abnormal heat source identification result outside the vehicle body based on the vehicle surround view image, and determine an abnormal tire pressure change identification result based on the real-time tire pressure signal; The data processing module 20 is further configured to determine a confidence level that the vehicle body fire was caused by an external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; The data processing module 20 is further configured to perform a concurrent fault analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of concurrent faults, and determine a confidence level of a fire inside the vehicle based on the spatial concentration degree of concurrent faults; The warning information generation module 30 is used to generate vehicle fire warning information of a preset level based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the vehicle interior fire, and upload the warning information to the user terminal to remind the user to deal with the dangerous situation in time.

[0071] In one embodiment, the data processing module 20 is further used to perform infrared spectrum analysis on the vehicle surround image to obtain an infrared spectrum of the area surrounding the vehicle body; based on the infrared spectrum of the area surrounding the vehicle body, determine the temperature abnormality points on the vehicle body contour and the temperature abnormality points in the area surrounding the vehicle body; if the distance between the temperature abnormality points on the vehicle body contour and the temperature abnormality points in the area surrounding the vehicle body is less than a preset safety distance, the temperature abnormality points in the area surrounding the vehicle body are used as the abnormal heat source identification result outside the vehicle body.

[0072] In one embodiment, the data processing module 20 is further used to obtain the infrared radiation intensity of the abnormal heat source, determine the temperature of the abnormal heat source based on the infrared radiation intensity; determine the ignition risk coefficient based on the temperature of the abnormal heat source and the relative distance between the abnormal heat source and the adjacent vehicle body contour; determine the material properties of the adjacent vehicle body contour based on the spatial position of the adjacent vehicle body contour in the vehicle; and obtain a confidence result that the vehicle body fire was caused by an external fire source based on the ignition risk coefficient and the material properties of the adjacent vehicle body contour.

[0073] In one embodiment, the data processing module 20 is further used to determine an abnormal tire based on the real-time tire pressure signal and the standard tire pressure range; determine the tire pressure change trend and the tire pressure change rate based on the real-time tire pressure signal of the abnormal tire; if the tire pressure change trend shows an increasing trend and the tire pressure change rate is greater than the conventional inflation and pressurization rate, it is determined that the abnormal tire has an ignition risk; based on the relative distance between the abnormal tire with an ignition risk and the external abnormal heat source, determine the confidence result that the external fire source caused the vehicle body fire.

[0074] In one embodiment, the data processing module 20 is further used to determine the electronic components and related signal transmission lines corresponding to each fault one by one based on the in-vehicle fault signal record table; determine the spatial position of the electronic components corresponding to the fault in the vehicle, and the spatial position of the signal transmission lines in the vehicle based on the electronic circuit map of the entire vehicle; calculate the spatial concentration of fault concurrence based on the spatial position of the electronic components corresponding to each fault in the vehicle, and the spatial position of the corresponding signal transmission lines in the vehicle; determine the temporal concentration of fault concurrence based on the triggering time points of each fault within a preset time period and the changing trend of the number of faults; and determine the confidence result of the fire inside the vehicle based on the spatial concentration of the fault concurrence and the temporal concentration of the fault concurrence.

[0075] In one embodiment, the data processing module 20 is further used to determine the affected transmission area of ​​each fault based on the spatial position of the electronic device in the vehicle and the spatial position of the corresponding signal transmission line; superimpose the affected transmission areas that cause each fault to obtain a superimposed impact area; perform cluster analysis on the superimposed impact area to generate a fault distribution heat map; and calculate the spatial concentration degree of fault concurrency based on the radiation range of the peak area in the heat map and the superposition density of the fault area.

[0076] In one embodiment, the warning information generation module 30 is also used to determine that the external fire source is ignited if the external fire source confidence exceeds the first preset threshold and the internal fire confidence is lower than the second preset threshold, generate a first-level warning information, and start the vehicle horn to warn of the danger; if the internal fire confidence exceeds the second preset threshold and the external fire source confidence is lower than the first preset threshold, it is determined that the electrical system is spontaneously combusted, generate a second-level warning information, start the vehicle horn to warn of the danger and perform local power off protection; if the external fire source and internal fire confidence exceed their respective thresholds at the same time, it is determined to be a compound high-risk fire, generate a third-level warning, and send real-time vehicle positioning and fire level information to the cloud monitoring platform.

[0077] This embodiment acquires surround-view images, real-time tire pressure signals, and a record of internal vehicle fault signals. It then identifies abnormal heat sources outside the vehicle body based on the surround-view images, determines abnormal tire pressure changes based on the tire pressure signals, and combines these two factors to determine the confidence level that an external fire source caused the vehicle body fire. It also performs a concurrent fault analysis on the internal vehicle fault signals to determine the confidence level of an internal vehicle fire. Finally, based on the internal and external confidence levels, it generates different levels of vehicle fire warning information and uploads it to the user terminal. This solution enables early and accurate identification of vehicle fire risks and comprehensively monitors multiple potential fire risk factors inside and outside the vehicle. Whether ignited by external fire sources or caused by internal electrical faults, it can promptly detect potential fire hazards, significantly improving the timeliness and accuracy of fire warnings.

[0078] The vehicle fire warning device provided in this application, utilizing the vehicle fire warning method described in the aforementioned embodiments, can address the technical problem of effectively integrating the identification of external fire sources with internal fire risks, comprehensively evaluating and generating accurate fire warning levels to guide subsequent response measures. Compared to the prior art, the beneficial effects of the vehicle fire warning device provided in this application are the same as those of the vehicle fire warning method described in the aforementioned embodiments. Other technical features of the vehicle fire warning device are the same as those disclosed in the aforementioned embodiments and are not further elaborated here.

[0079] The present application provides a vehicle fire warning device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vehicle fire warning method in the above-mentioned embodiment one.

[0080] Reference below Figure 4 , which shows a schematic diagram of the structure of a vehicle fire warning device suitable for implementing an embodiment of the present application. The vehicle fire warning device in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 4 The vehicle fire warning device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0081] like Figure 4As shown, the vehicle fire warning device may include a processing device 1001 (e.g., a central processing unit, graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. RAM 1004 also stores various programs and data required for the operation of the vehicle fire warning device. Processing device 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007, such as a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008, such as a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 1003, such as a magnetic tape or hard disk; and communication device 1009. The communication device 1009 can allow the vehicle fire warning device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a vehicle fire warning device with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems may be implemented or provided instead.

[0082] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0083] The vehicle fire warning device provided in this application, utilizing the vehicle fire warning method described in the aforementioned embodiment, addresses the technical problem of effectively integrating the identification of external fire sources with internal fire risks, comprehensively evaluating and generating accurate fire warning levels to guide subsequent response measures. Compared to the prior art, the beneficial effects of the vehicle fire warning device provided in this application are the same as those of the vehicle fire warning method described in the aforementioned embodiment. The other technical features of this vehicle fire warning device are the same as those disclosed in the aforementioned embodiment and are not further elaborated here.

[0084] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0085] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0086] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, wherein the computer-readable program instructions are used to execute the vehicle fire warning method in the above-mentioned embodiment.

[0087] The computer-readable storage medium provided herein may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems, or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including, but not limited to, wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0088] The computer-readable storage medium may be included in the vehicle fire warning device; or it may exist independently without being assembled into the vehicle fire warning device.

[0089] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the vehicle fire warning device, the vehicle fire warning device: obtains a vehicle surround view image, a real-time tire pressure signal, and an in-vehicle fault signal record table; determines an abnormal heat source identification result outside the vehicle body based on the vehicle surround view image, and determines an abnormal tire pressure change identification result based on the real-time tire pressure signal; determines a confidence result that an external fire source caused a vehicle body fire based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; performs a fault concurrency analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of fault concurrency, and determines a confidence result that a fire occurred inside the vehicle based on the spatial concentration degree of fault concurrency; generates a preset level of vehicle fire warning information based on the confidence result that the external fire source caused a vehicle body fire and the confidence result that a fire occurred inside the vehicle, and uploads the warning information to a user terminal to remind the user to deal with the dangerous situation in a timely manner.

[0090] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0091] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0092] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0093] The computer-readable storage medium provided in this application is a computer-readable storage medium storing computer-readable program instructions (i.e., a computer program) for executing the aforementioned vehicle fire warning method. This computer-readable storage medium addresses the technical problem of effectively integrating the identification of external fire sources with internal fire risks, comprehensively assessing and generating accurate fire warning levels to guide subsequent response measures. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the vehicle fire warning method provided in the aforementioned embodiments, and are not further elaborated here.

[0094] The computer program product provided in this application can solve the technical problem of vehicle fire warning. Compared with the existing technology, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the vehicle fire warning method provided in the above embodiment, which will not be repeated here.

[0095] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A vehicle fire warning method, characterized in that: The vehicle fire early warning method comprises: Obtain vehicle surround view images, real-time tire pressure signals, and in-vehicle fault signal records; determining an abnormal heat source identification result outside the vehicle body based on the vehicle surround view image, and determining an abnormal tire pressure change identification result based on the real-time tire pressure signal; determining a confidence level that the vehicle body fire was caused by an external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; performing a fault concurrency analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of the fault concurrency, and determining a confidence level result of a fire inside the vehicle based on the spatial concentration degree of the fault concurrency; Based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the vehicle interior fire, a vehicle fire warning information of a preset level is generated, and the warning information is uploaded to the user terminal to remind the user to deal with the dangerous situation in time.

2. The vehicle fire warning method according to claim 1, characterized in that: The determining of the abnormal heat source identification result outside the vehicle body according to the vehicle surround view image includes: Performing infrared spectrum analysis on the vehicle surround view image to obtain an infrared spectrum of the area surrounding the vehicle body; Determining temperature anomaly points on the vehicle body contour and temperature anomaly points in the vehicle body surrounding area based on the infrared spectrum of the vehicle body surrounding area; If the distance between the temperature abnormal point on the vehicle body contour and the temperature abnormal point in the vehicle body surrounding area is less than a preset safety distance, the temperature abnormal point in the vehicle body surrounding area is used as the abnormal heat source identification result outside the vehicle body.

3. The vehicle fire warning method according to claim 1, characterized in that: The step of determining the confidence level of the external fire source causing the vehicle body fire based on the abnormal heat source identification result outside the vehicle body includes: obtaining the infrared radiation intensity of the abnormal heat source, and determining the temperature of the abnormal heat source according to the infrared radiation intensity; determining an ignition risk coefficient based on the temperature of the abnormal heat source and the relative distance between the abnormal heat source and an adjacent vehicle body contour; Determining the material properties of the adjacent vehicle body contour according to the spatial position of the adjacent vehicle body contour on the own vehicle; A confidence result of the vehicle body fire being caused by an external fire source is obtained based on the ignition risk coefficient and the material properties of the adjacent vehicle body contour.

4. The vehicle fire warning method according to claim 2, characterized in that: The determining of the confidence level of the vehicle body fire caused by an external fire source based on the abnormal tire pressure change identification result includes: determining an abnormal tire based on the real-time tire pressure signal and a standard tire pressure range; determining a tire pressure change trend and a tire pressure change rate based on the real-time tire pressure signal of the abnormal tire; If the tire pressure change trend shows an increasing trend and the tire pressure change rate is greater than the normal inflation rate, it is determined that the abnormal tire has a risk of ignition; The confidence level that the vehicle body fire was caused by an external fire source is determined based on the relative distance between the abnormal tire that poses an ignition risk and the external abnormal heat source.

5. The vehicle fire warning method according to claim 1, characterized in that: The performing of a concurrent fault analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of concurrent faults, and determining a confidence level result of a fire inside the vehicle based on the spatial concentration degree of concurrent faults, includes: According to the in-vehicle fault signal record table, determining the electronic components and related signal transmission lines corresponding to each fault one by one; Determine the spatial location of the electronic device corresponding to the fault and the spatial location of the signal transmission line in the vehicle based on the vehicle electronic circuit diagram; Calculate the spatial concentration of the faults based on the spatial locations of the electronic components corresponding to the faults in the vehicle and the spatial locations of the corresponding signal transmission lines in the vehicle; Determine the temporal concentration of concurrent faults based on the triggering time of each fault within a preset time period and the changing trend of the number of faults; A confidence result of a fire inside the vehicle is determined based on the spatial concentration degree of the concurrent faults and the temporal concentration degree of the concurrent faults.

6. The vehicle fire warning method according to claim 5, characterized in that: Calculating the spatial concentration of the faults according to the spatial positions of the electronic components corresponding to the respective faults in the vehicle and the spatial positions of the corresponding signal transmission lines in the vehicle includes: Determining the affected transmission area of ​​each fault based on the spatial location of the electronic device in the vehicle and the spatial location of the corresponding signal transmission line; Superimpose the affected transfer areas that cause each fault to obtain the superimposed impact area; Performing cluster analysis on the superimposed impact area to generate a fault distribution heat map; Based on the radiation range of the peak area in the thermal map and the superposition density of the fault areas, the spatial concentration degree of the fault concurrency is calculated.

7. The vehicle fire warning method according to claim 1, characterized in that: The generating of vehicle fire warning information of a preset level according to the confidence result of the external fire source causing the vehicle body fire and the confidence result of the vehicle interior fire includes: If the external fire source confidence exceeds the first preset threshold and the internal fire confidence is lower than the second preset threshold, it is determined that the fire was ignited by the external fire source, a first-level warning message is generated, and the vehicle horn is activated to warn of the danger; If the internal fire confidence exceeds the second preset threshold and the external fire source confidence is lower than the first preset threshold, it is determined to be a spontaneous combustion of the electrical system, a second-level warning message is generated, the vehicle horn is activated to warn of the danger, and a local power outage is implemented for protection; If the confidence levels of both the external fire source and the internal fire exceed their respective thresholds at the same time, it is judged as a composite high-risk fire, a third-level warning is generated, and real-time vehicle positioning and fire level information are sent to the cloud monitoring platform.

8. A vehicle fire warning device, characterized in that: The vehicle fire warning device comprises: Data acquisition module, used to obtain vehicle surround view images, real-time tire pressure signals, and in-vehicle fault signal records; a data processing module, configured to determine an identification result of an abnormal heat source outside the vehicle body based on the vehicle surround view image, and determine an identification result of an abnormal tire pressure change based on the real-time tire pressure signal; The data processing module is further configured to determine a confidence level that the vehicle body fire was caused by an external fire source based on the abnormal heat source identification result outside the vehicle body and the abnormal tire pressure change identification result; The data processing module is further configured to perform a concurrent fault analysis based on the in-vehicle fault signal record table to obtain a spatial concentration degree of concurrent faults, and determine a confidence level of a fire inside the vehicle based on the spatial concentration degree of concurrent faults; The warning information generation module is used to generate vehicle fire warning information of a preset level based on the confidence result of the external fire source causing the vehicle body fire and the confidence result of the internal vehicle fire, and upload the warning information to the user terminal to remind the user to deal with the dangerous situation in a timely manner.

9. A vehicle fire warning device, characterized in that: The vehicle fire warning device includes: a memory, a processor, and a vehicle fire warning program stored in the memory and executable on the processor. The vehicle fire warning program is configured to implement the steps of the vehicle fire warning method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a vehicle fire warning program, which, when executed by a processor, implements the steps of the vehicle fire warning method according to any one of claims 1 to 7.

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