Vehicle detection warning method and device and vehicle

Abstract

The application provides a detection early warning method and device of a vehicle and the vehicle, the vehicle is provided with a plurality of sensors, and the sensors are used for detecting fire-related information inside and outside the vehicle. The method comprises the following steps: starting fire detection of the vehicle based on a starting strategy corresponding to a current running state of the vehicle, and acquiring first detection information collected by the plurality of sensors; determining whether the vehicle meets a fire detection condition based on the first detection information; acquiring second detection information collected by the plurality of sensors in the case that the vehicle meets the fire detection condition; determining a fire risk level of the vehicle based on the second detection information, and performing fire early warning processing based on the fire risk level. By applying the scheme, the accuracy and comprehensiveness of vehicle fire detection can be improved, and the safety of the vehicle is ensured.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a vehicle detection and early warning method, device, and vehicle. Background Technology

[0002] With the rapid development of the automotive industry, vehicles have become an indispensable means of transportation for people's daily travel, and the number of vehicles on the road continues to rise. At the same time, vehicle fires have also attracted widespread attention, as these accidents not only cause property damage but also seriously threaten the lives of drivers, passengers, and those in the surrounding area.

[0003] To maintain vehicle safety, some vehicles are equipped with temperature and smoke sensors to detect the temperature and smoke concentration inside the vehicle. This alerts the driver and passengers to take timely emergency measures such as fire extinguishing and evacuation when a fire hazard is detected, thereby reducing accident losses.

[0004] However, temperature and smoke sensors are easily affected by environmental factors such as dust, moisture, air conditioning, and high summer temperatures, which can lead to false alarms or missed alarms. As a result, the accuracy of vehicle fire risk detection is not high, and vehicle safety cannot be effectively guaranteed. Summary of the Invention

[0005] This application provides a vehicle detection and early warning method, device, and vehicle, which can improve the accuracy of vehicle fire risk detection and ensure vehicle safety.

[0006] In a first aspect, embodiments of this application provide a method for detecting and issuing early warnings for a vehicle. The vehicle is equipped with multiple sensors used to detect fire-related information inside and outside the vehicle. The method may include: initiating fire detection based on a startup strategy corresponding to the vehicle's current operating state, acquiring first detection information collected by the multiple sensors, and then determining whether the vehicle meets fire detection conditions based on the first detection information. If the vehicle meets the fire detection conditions, acquiring second detection information collected by the multiple sensors, thereby determining the vehicle's fire risk level based on the second detection information, and performing fire early warning processing based on the fire risk level.

[0007] According to this solution, by utilizing the first detection information collected by multiple sensors, it can be determined whether a vehicle meets the fire detection conditions. If the fire detection conditions are met, the fire risk level of the vehicle can be determined based on the second detection information collected by multiple sensors, and warnings and actions can be taken. This can achieve a two-level progressive fire detection. By integrating the detection information from multiple sensors for fire assessment, the accuracy of fire detection can be improved, and the comprehensiveness of fire detection can also be enhanced, thus ensuring vehicle safety in all aspects.

[0008] Moreover, by initiating fire detection based on the activation strategy corresponding to the current operating status of the vehicle, fire detection can be performed under different vehicle operating conditions, achieving fire detection and protection of the vehicle at all times.

[0009] In some embodiments, the current operating state includes an active state or a dormant state; the method for activating vehicle fire detection based on the activation strategy corresponding to the current operating state may include: when the vehicle is in an active state, if any of the multiple sensors detects an abnormal temperature in the vehicle, then activate vehicle fire detection; when the vehicle is in a dormant state, wake up the multiple sensors according to a preset wake-up strategy, and after waking up the multiple sensors, activate vehicle fire detection. The preset wake-up strategy includes periodic wake-up and / or wake-up event wake-up; the wake-up event includes the vehicle receiving a control signal, or the detection information from any of the multiple sensors indicating that the vehicle temperature is greater than a target wake-up threshold.

[0010] Through this embodiment, the vehicle can initiate fire detection using different startup strategies based on the vehicle's current operating status, which can improve the vehicle's fire detection protection capability and take into account the power consumption requirements of the vehicle in both working and dormant states.

[0011] In some embodiments, after initiating fire detection in the vehicle, the method further includes: if the vehicle is in a dormant state, activating the vehicle's auxiliary power supply circuit to enable multiple sensors to collect first detection information and second detection information at a first preset sampling frequency; and / or controlling the vehicle to enter a remote monitoring mode to synchronize the first detection information and second detection information to the vehicle server for fire assessment. Wherein, the first preset sampling frequency is higher than the second preset sampling frequency, which is the sampling frequency of the multiple sensors in the low-power inspection state corresponding to the dormant state; the first detection information is the detection information collected by the multiple sensors within a first preset duration after fire detection is initiated; the second detection information is the detection information collected by the multiple sensors within a second preset duration after determining that the vehicle meets the fire detection conditions; the second preset duration is greater than or equal to the first preset duration.

[0012] This embodiment not only meets the vehicle's fire detection requirements but also reduces power consumption by cooperating with the vehicle's sleep mode, thus extending the vehicle's monitoring time in parked scenarios to the maximum extent possible, meeting the protection needs of vehicles in various parking scenarios (such as short-term and long-term parking). Furthermore, by establishing a remote communication channel with the vehicle server, fire detection information can be synchronized to the vehicle server in a timely manner, facilitating fire assessment and early warning processing.

[0013] In addition, by using the detection information collected in two time periods, a two-tiered progressive fire detection can be achieved, improving the rationality and accuracy of fire detection.

[0014] In some embodiments, the method further includes: verifying and updating the target wake-up threshold according to a preset update time interval; and stopping the verification and updating of the target wake-up threshold according to the preset update time interval in response to the vehicle's operating state switching to a working state.

[0015] This method can adapt to dynamically changing environmental conditions, avoid false triggering or missed triggering caused by continuous use of fixed thresholds, and improve the accuracy of fire detection.

[0016] In some embodiments, the above-mentioned verification and update of the target wake-up threshold includes: compensating the ambient temperature value of the vehicle based on a preset temperature compensation value to obtain a compensated temperature value; if the compensated temperature value is within a preset temperature range, then the compensated temperature value is determined as the target wake-up threshold; if the compensated temperature value is lower than the lower limit of the preset temperature range, then the lower limit is determined as the target wake-up threshold; or, if the compensated temperature value is higher than the upper limit of the preset temperature range, then the upper limit is determined as the target wake-up threshold.

[0017] This method allows for timely adjustment of the target wake-up threshold based on the ambient temperature of the vehicle's environment, enabling it to adapt to changes in the vehicle's environment and accurately detect fire risks.

[0018] In some embodiments, the method further includes: if the vehicle is in a dormant state and the vehicle does not meet the fire detection conditions, then performing any one or more of the following control actions: controlling the vehicle to exit the remote monitoring mode; shutting down the vehicle's auxiliary power supply circuit; controlling the vehicle to return to the low-power inspection state corresponding to the dormant state.

[0019] This embodiment enables the timely release of hardware resources such as remote communication and auxiliary power supply circuits when the vehicle does not meet the conditions for fire detection and there are no suspected fire hazards. This reduces the power consumption of the vehicle during sleep mode, optimizes the static power consumption of the whole vehicle while ensuring that the basic fire detection capability is not interrupted, and avoids unnecessary power consumption of the battery in long-term parking scenarios.

[0020] In some embodiments, a vehicle meets the fire detection conditions, including at least one of the following: detection information collected by any one or more sensors indicates that the vehicle has abnormal fire indicators; detection information collected by multiple sensors in the same vehicle area indicates that the vehicle has abnormal fire indicators; detection information collected by any one or more sensors indicates that the vehicle's temperature rise rate is greater than a preset temperature rise threshold.

[0021] This embodiment can integrate detection information collected by multiple sensors to determine whether a vehicle meets the fire detection conditions, thereby improving the accuracy of fire detection and preventing false positives and false negatives.

[0022] In some embodiments, the vehicle further includes at least one environmental sensor; before determining the fire risk level of the vehicle based on the second detection information, the method further includes: determining the environmental characteristics of the environment in which the vehicle is located based on the detection information collected by the environmental sensor; identifying environmental interference features in the second detection information based on the environmental characteristics, and filtering out environmental interference features in the second detection information.

[0023] This embodiment can effectively distinguish between abnormal environmental disturbances and abnormal vehicle fire conditions, eliminate interference from external environmental factors on fire detection data, avoid invalid depth detection and false risk assessments caused by environmental mis-triggers, further improve the accuracy and anti-interference capability of vehicle fire detection, and ensure the stability and reliability of vehicle fire monitoring in complex outdoor environments.

[0024] In some embodiments, the method for determining the fire risk level of a vehicle based on the second detection information may include: analyzing the detection information collected by each sensor to determine the local information features of the detection information and the joint information features of all detection information; and determining the fire risk level of the vehicle based on the local information features and the joint information features. The local information features include at least one of the attribute features, amplitude features, trend features, gradient features, or time-series features of the detection information, and the joint information features include the detection information features corresponding to multiple sensors that detected anomalies within the same vehicle area.

[0025] This method combines local and joint information features to analyze the fire risk level of vehicles, avoiding misjudgments and omissions caused by single sensor detection, and achieving accurate fire identification, providing accurate and reliable basis for subsequent early warning and handling.

[0026] In some embodiments, the method for determining the fire risk level of a vehicle based on local information features and joint information features may include: determining the fire risk level based on risk assessment conditions satisfied by the local information features and joint information features, wherein the risk assessment conditions include mild assessment conditions, moderate assessment conditions, and severe assessment conditions. Specifically, satisfying the mild assessment conditions includes: local information features indicating the existence of a single-dimensional attribute anomaly within the vehicle, the magnitude of the change in detection information being lower than a mild magnitude threshold, and joint information features indicating the absence of multiple detection information anomalies within any vehicle area; satisfying the moderate assessment conditions includes: local information features indicating a sudden change in the gradient of detection information within the vehicle, a continuous trend of anomaly, or satisfaction of a single fire indicator, and joint information features indicating the presence of multiple detection information anomalies within the same vehicle area; satisfying the severe assessment conditions includes: local information features indicating that the magnitude of the change in detection information within the vehicle is higher than a severe magnitude threshold, and joint information features indicating the presence of a global detection information anomaly within the vehicle, satisfaction of multiple fire indicators, or the existence of a continuous high-temperature area.

[0027] This method enables precise identification of fire risk levels, comprehensively assesses the fire risk level of vehicles from various feature dimensions, and facilitates subsequent early warning and handling of fire risks at corresponding levels to ensure vehicle safety.

[0028] In some embodiments, the fire risk level includes a low risk level, a medium risk level, and a high risk level. The above-mentioned method for fire early warning processing based on the fire risk level may include: terminating the acquisition of the first detection information and the second detection information based on the fire risk level being low risk level; continuously detecting the fire status of the vehicle through multiple sensors based on the fire risk level being medium risk level; and continuously detecting the fire status of the vehicle through multiple sensors based on the fire risk level being high risk level, and disconnecting the high-voltage power supply of the vehicle and shutting off the electrical loads on the vehicle.

[0029] This method allows for appropriate control measures on vehicles based on fire risk levels, mitigating potential fire hazards, minimizing fire losses, and ensuring the safety of vehicles and users.

[0030] In some embodiments, the plurality of sensors include at least one of an in-vehicle temperature sensor, a tire pressure sensor, a rearview mirror temperature sensor, an infrared thermal imaging sensor, a temperature and humidity sensor, a smoke sensor, and a combustible gas sensor; the infrared thermal imaging sensor is disposed at least in at least one of the vehicle's engine compartment, battery compartment, or passenger compartment; the temperature and humidity sensor is disposed along at least one of the vehicle's wiring harness, battery module, or fuel line; and the smoke sensor and / or combustible gas sensor is disposed in the bottom area of ​​at least one of the engine compartment, battery compartment, or passenger compartment.

[0031] By integrating multiple sensors on the vehicle and utilizing a distributed layout to set up sensors in different areas, it is possible to achieve full-area fire detection of the vehicle, covering high-risk areas, detecting fires caused by different factors, reducing blind spots, and improving detection accuracy and comprehensiveness.

[0032] Secondly, this application provides a vehicle detection and early warning device. The vehicle is equipped with multiple sensors for detecting fire-related information inside and outside the vehicle. The device includes a first acquisition module for initiating fire detection of the vehicle based on the activation strategy corresponding to the current operating state of the vehicle, and acquiring first detection information collected by multiple sensors.

[0033] The first determination module is used to determine whether the vehicle meets the fire detection conditions based on the first detection information.

[0034] The second acquisition module is used to acquire second detection information collected by multiple sensors when the vehicle meets the fire detection conditions.

[0035] The second determination module is used to determine the fire risk level of the vehicle based on the second detection information, and to carry out fire early warning processing based on the fire risk level.

[0036] Thirdly, this application provides a vehicle for performing the method in the first aspect or any possible implementation of the first aspect.

[0037] Fourthly, this application provides a computer-readable storage medium storing a computer program or instructions that, when executed by a device, cause the device to perform the method of the first aspect or any possible implementation thereof.

[0038] Fifthly, this application provides a computer program product including computer instructions that, when executed on a device, cause the device to perform the method in the first aspect or any possible implementation thereof.

[0039] The second to fifth aspects described above correspond to the technical solutions of the first aspect of the embodiments of this application. The beneficial effects achieved by each aspect and its corresponding feasible implementation are similar, and will not be repeated here. It should be noted that various possible implementations of any aspect described above can be combined, provided that the solutions do not contradict each other. Attached Figure Description

[0040] Figure 1 A schematic flowchart illustrating a vehicle detection and early warning method provided in an embodiment of this application; Figure 2A schematic diagram of a sub-process of a vehicle detection and early warning method provided in this application embodiment. Figure 3 A schematic flowchart illustrating another vehicle detection and early warning method provided in this application embodiment; Figure 4 A schematic diagram of a sub-process of another vehicle detection and early warning method provided in an embodiment of this application; Figure 5 A schematic diagram of a sub-process of another vehicle detection and early warning method provided in this application embodiment. Figure 6 A schematic diagram of the structure of a vehicle detection and early warning device provided in an embodiment of this application; Figure 7 This is a schematic diagram of the structure of a vehicle control device provided in an embodiment of this application. Detailed Implementation

[0041] The embodiments of this application will now be described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Those skilled in the art will recognize that, with the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0042] As vehicles are an important means of transportation for people's daily travel, safety is always a primary concern. Among these concerns, the risk of vehicle fire is a major hidden danger affecting vehicle safety.

[0043] For example, gasoline-powered vehicles are prone to fires due to aging wiring or fuel leaks, while new energy vehicles may catch fire due to battery thermal runaway caused by collisions or other factors. Even minor hazards can easily lead to a fire when vehicles are parked unattended for extended periods. Once a vehicle catches fire, it poses a serious threat to the lives of those involved.

[0044] One approach to this technology involves equipping the vehicle with temperature and smoke sensors. By detecting whether the interior temperature and smoke concentration exceed fixed thresholds, it can determine if there is a fire hazard and alert occupants to take firefighting and evacuation measures. However, this detection method is susceptible to environmental interference, has low accuracy in fire detection, and cannot effectively guarantee the safety of the vehicle and its occupants.

[0045] Based on this, embodiments of this application provide a vehicle detection and early warning method. The vehicle may be equipped with multiple sensors, which can be used to detect fire-related information inside and outside the vehicle.

[0046] Multiple sensors can provide multi-source trigger signals for fire detection. Based on their detection function, they can be categorized into heat source sensors, combustion product sensors, and environmental sensors.

[0047] For example, heat source sensors may include temperature sensors, infrared thermal imaging sensors, etc., combustion product sensors may include smoke sensors, combustible gas sensors, etc., and environmental sensors may include ambient temperature sensors, tire pressure sensors, rain sensors, etc.

[0048] Fire-related information refers to detection information that reflects the vehicle's heat source status, combustion characteristics, and external environmental conditions. For example, fire-related information may include parameters such as the temperature of the vehicle's interior areas, hot spot distribution, smoke concentration, combustible gas concentration, and the ambient temperature and weather conditions at the vehicle's location, which can be used to distinguish between a real fire and environmental disturbances.

[0049] The vehicle detection and early warning method provided in this application embodiment can be applied to vehicles (such as vehicle controllers), enabling vehicles to initiate fire detection based on the startup strategy corresponding to the current operating state of the vehicle, and acquire first detection information collected by multiple sensors. Then, based on the first detection information, it is determined whether the vehicle meets the fire detection conditions. If the vehicle meets the fire detection conditions, second detection information collected by multiple sensors is acquired, thereby determining the fire risk level of the vehicle based on the second detection information, and performing fire early warning processing based on the fire risk level.

[0050] By applying this scheme, on the one hand, by utilizing the first detection information collected by multiple sensors, it is determined whether the vehicle meets the fire detection conditions. If the fire detection conditions are met, the fire risk level of the vehicle is determined based on the second detection information collected by multiple sensors, and warnings and actions are taken. This can realize a two-level progressive fire detection. By integrating the detection information from multiple sensors for fire assessment, the accuracy of fire detection can be improved, and the comprehensiveness of fire detection can also be enhanced, thus ensuring vehicle safety in all aspects.

[0051] On the other hand, by initiating fire detection based on the activation strategy corresponding to the current operating status of the vehicle, fire detection can be achieved under different vehicle operating conditions, thus realizing fire detection and protection of the vehicle at all times.

[0052] The vehicle detection and early warning method provided in this application embodiment will be described in detail below with reference to the accompanying drawings.

[0053] Figure 1 This is a schematic flowchart illustrating a vehicle detection and early warning method provided in an embodiment of this application. (Reference) Figure 1 As shown, the vehicle detection and early warning method provided in this application embodiment may include: S101. Based on the starting strategy corresponding to the current operating status of the vehicle, start the fire detection of the vehicle and acquire the first detection information collected by multiple sensors.

[0054] The current operating status refers to the vehicle's overall operating condition at the current moment, which may include working status, dormant status, etc.

[0055] For example, the operating state can further include power-on state, driving state, and unlocked state; the sleep state can further include locked state, anti-theft monitoring state, and deep sleep state. For instance, after the vehicle is locked, as the inactivity time increases, the vehicle automatically enters the anti-theft monitoring state and the deep sleep state. In the anti-theft monitoring state, the vehicle maintains basic security functions and can be woken up by responding to external signals; in the deep sleep state, the vehicle shuts down most auxiliary energized branches, retaining only the minimum necessary power supply, further reducing vehicle power consumption.

[0056] The start-up strategy refers to the method by which the vehicle starts fire detection. Different start-up strategies correspond to different current operating states.

[0057] The fire risk scenarios for a vehicle vary significantly depending on its operating conditions. For example, when a vehicle is in operation, the vehicle is constantly powered on and the electrical load changes dynamically, making fire hazards closely related to real-time load, component temperature, and circuit status. When a vehicle is in a dormant state, most of its external devices are powered off, and there is no dynamic load disturbance, so fires are more likely to develop from factors such as battery damage, component aging and heat accumulation, and external fires.

[0058] Therefore, based on the vehicle's current operating state, a differentiated activation strategy can be adopted to initiate fire detection. This ensures the effectiveness of fire identification while matching the vehicle's operating status and reducing power consumption. After initiating fire detection, the vehicle can acquire initial detection information from multiple sensors. This initial detection information can be the data collected by multiple sensors within a first preset time period after fire detection is initiated. The first preset time period can be customized based on sensor performance and detection requirements, such as being set to 3 minutes.

[0059] In this embodiment, the multiple sensors may include various types of sensors, and the sensors may be distributed and set up in different vehicle areas to fully cover high-risk areas such as the passenger compartment, engine compartment, power battery compartment, and luggage compartment of the vehicle.

[0060] For example, multiple sensors may include at least one of the following: in-vehicle temperature sensor, tire pressure sensor, rearview mirror temperature sensor, infrared thermal imaging sensor, temperature and humidity sensor, smoke sensor, and combustible gas sensor.

[0061] The infrared thermal imaging sensor can be installed at least once in the engine compartment, battery compartment, or passenger compartment of the vehicle to capture localized high-temperature areas and early thermal hazards in the corresponding areas. The temperature and humidity sensor can be installed along at least one of the vehicle's wiring harnesses, battery modules, or fuel lines to detect localized temperature changes. The smoke sensor and / or combustible gas sensor can be installed in the bottom area of ​​at least one location in the engine compartment, battery compartment, or passenger compartment to identify smoldering fine smoke from the interior, as well as combustible gases generated by fuel evaporation and battery electrolyte leakage.

[0062] In this embodiment, the vehicle integrates multiple sensors and utilizes a distributed layout to set up sensors in different areas, which can realize full-area fire detection of the vehicle, cover high-risk areas, detect fires caused by different factors, reduce detection blind spots, and improve detection accuracy and comprehensiveness.

[0063] In some embodiments, the current operating state of the vehicle includes a working state or a dormant state, such as... Figure 2 As shown, the vehicle can perform the following methods: S201. When the vehicle is in operation, if any of the multiple sensors detects an abnormal temperature in the vehicle, the vehicle fire detection will be activated.

[0064] For example, such as Figure 3 As shown in step S301, when the vehicle is in a working state such as being powered on or in motion, multiple sensors maintain continuous detection capability. If any sensor detects an abnormal temperature in the vehicle, the vehicle initiates fire detection. Subsequently, multiple sensors initiate fire information acquisition, and the vehicle acquires the first detection information collected by the multiple sensors.

[0065] S202. When the vehicle is in a dormant state, wake up multiple sensors according to a preset wake-up strategy, and after waking up multiple sensors, start the vehicle's fire detection.

[0066] The preset wake-up strategy may include periodic wake-up and / or wake-up event wake-up. Wake-up events include the vehicle receiving a control signal, or detection information from any of multiple sensors indicating that the vehicle temperature is greater than a target wake-up threshold.

[0067] Control signals refer to various external signals received by a vehicle, such as control signals triggered by the user via mobile phone, key, etc., and remote control signals sent by the vehicle server.

[0068] When the vehicle is in sleep mode, it operates at low power, most of its power supply circuits are shut off, and sensors cease continuously collecting fire information, instead detecting the fire status using low-frequency detection. Therefore, to ensure vehicle safety, the vehicle can follow a preset wake-up strategy, either periodically waking up or waking up multiple sensors upon detecting a wake-up event, to begin fire detection.

[0069] For example, such as Figure 3 As shown in step S302, the vehicle can periodically wake up multiple sensors according to a preset wake-up cycle to initiate fire detection. Furthermore, based on information collected by multiple sensors using a low-frequency sampling method, the vehicle can determine in step S303 whether the vehicle temperature exceeds a target wake-up threshold. If the vehicle temperature exceeds the target wake-up threshold, fire detection is initiated. The vehicle temperature can include both the interior and exterior temperatures.

[0070] The preset wake-up cycle can be customized by developers based on sensor performance and detection requirements, such as being set to 3 hours. Furthermore, the preset wake-up cycle can vary depending on the specific type of sleep state, such as anti-theft monitoring or deep sleep. For example, the preset wake-up cycle for anti-theft monitoring can be shorter than that for deep sleep. In other words, in deep sleep, the vehicle wakes up multiple sensors with a longer preset wake-up cycle for fire detection.

[0071] In addition, the target wake-up thresholds for the vehicle interior temperature and the vehicle exterior temperature can be the same or different, and this embodiment does not make specific limitations on this.

[0072] Through this embodiment, the vehicle can initiate fire detection using different startup strategies based on the vehicle's current operating status, which can improve the vehicle's fire detection protection capability and take into account the power consumption requirements of the vehicle in both working and dormant states.

[0073] To facilitate the collection of detection information and improve the accuracy of fire detection, in some embodiments, after activating vehicle fire detection, such as... Figure 3 As shown, the vehicle can also enter remote monitoring mode by activating its auxiliary power supply circuit in step S304 while in sleep mode. After activating the auxiliary power supply circuit, multiple sensors collect first and second detection information at a first preset sampling frequency. After entering remote monitoring mode, the vehicle can synchronize the first and second detection information to the vehicle server for fire assessment.

[0074] The first preset sampling frequency is higher than the second preset sampling frequency, which is the sampling frequency of multiple sensors in the low-power inspection state corresponding to the sleep state.

[0075] The auxiliary power supply circuit is independent of the vehicle's main power supply circuit during sleep mode. It can be the power supply circuit for the entire vehicle or a dedicated power supply circuit for vehicle fire detection.

[0076] For example, the auxiliary power supply circuit can use a large-capacity lithium battery pack with multiple protections, providing protection against overcharging, over-discharging, short circuits, and overheating. It can also operate independently of the vehicle's power supply, continuously supplying power to fire detection devices when the vehicle is off, the battery is depleted, or there is a vehicle electrical fault. With the help of a sleep / wake-up mechanism, the ultra-low power consumption monitoring time can reach more than 72 hours, meeting the needs of long-term unattended monitoring.

[0077] After fire detection is initiated, the auxiliary power supply circuit is activated, enabling multiple sensors to start sampling at a higher sampling frequency (the first preset sampling frequency). This results in a higher temporal density of the acquired first and second detection information. This method can not only meet the vehicle's fire detection requirements but also reduce power consumption when the vehicle is in sleep mode, thus extending the vehicle's on-duty time in parked scenarios and meeting the protection requirements of the vehicle in various parking scenarios (such as short-term and long-term parking).

[0078] After entering remote monitoring mode, a communication channel is established between the vehicle server and the vehicle. The vehicle server synchronously receives the detection information acquired by the vehicle to make fire assessments. Compared with the vehicle performing fire assessments on its own, the vehicle server can accurately analyze fire risks based on computing power and a large amount of data. After identifying fire risks, it can also issue timely warnings to facilitate emergency fire response and help trace the source of vehicle detection data.

[0079] In some embodiments, continue to refer to Figure 3 As shown, after activating the auxiliary power supply circuit and controlling the vehicle to enter the remote monitoring mode, the vehicle can control multiple sensors to collect detection information within a first preset time period through step S305 to obtain the first detection information, so as to use the first detection information to perform preliminary fire detection on the vehicle.

[0080] Because the probability of a vehicle catching fire varies under different ambient temperatures, in order to improve the accuracy of fire detection, in some embodiments, the vehicle can also verify and update the target wake-up threshold at a preset update time interval; and, in response to the vehicle's operating state switching to working state, the verification and updating of the target wake-up threshold at the preset update time interval can be stopped. The preset update time interval can be customized according to actual needs, such as being set to 20 minutes.

[0081] During vehicle operation, the ambient temperature may change continuously. In order to adapt to the dynamically changing environmental conditions and avoid false triggering or missed triggering caused by the continuous use of fixed thresholds, the target wake-up threshold can be periodically checked and updated when the vehicle is in sleep mode. After the vehicle switches to working mode, the vehicle conditions and detection strategies are automatically adjusted, so the periodic update of the threshold can be paused to prevent frequent changes in the threshold from interfering with the abnormal judgment logic under normal working conditions.

[0082] In some embodiments, when updating the target wake-up threshold, the vehicle's ambient temperature can be compensated based on a preset temperature compensation value to obtain a compensated temperature value. Then, if the compensated temperature value is within a preset temperature range, the compensated temperature value is determined as the target wake-up threshold. If the compensated temperature value is lower than the lower limit of the preset temperature range, the lower limit is determined as the target wake-up threshold; or, if the compensated temperature value is higher than the upper limit of the preset temperature range, the upper limit is determined as the target wake-up threshold.

[0083] The preset temperature range is a temperature range associated with the vehicle's environment, used to adjust the target wake-up threshold so that the vehicle's wake-up strategy is adapted to the vehicle's environmental conditions.

[0084] like Figure 4 As shown, the vehicle can detect the ambient temperature in real time and then overlay a preset temperature to compensate for the ambient temperature. For example, assuming the ambient temperature is 25℃, 5℃ can be overlaid, resulting in 30℃ as the compensated temperature. Then, a temperature range determination is performed. If the compensated temperature falls within the preset temperature range, such as [-40℃, 85℃], the compensated temperature of 30℃ is directly determined as the target wake-up threshold. If the compensated temperature falls outside the preset temperature range, such as when the compensated temperature is lower than the lower limit of the preset temperature range, that lower limit is determined as the target wake-up threshold. If the compensated temperature is higher than the upper limit of the preset temperature range, that upper limit is determined as the target wake-up threshold.

[0085] This method allows for timely adjustment of the target wake-up threshold based on the ambient temperature of the vehicle's environment, enabling it to adapt to changes in the vehicle's environment and accurately detect fire risks.

[0086] S102. Based on the first detection information, determine whether the vehicle meets the fire detection conditions.

[0087] Among them, fire detection conditions refer to the preliminary judgment conditions for detecting whether a vehicle is suspected of being on fire. For example, fire detection conditions may include one or more combined conditions, such as whether the temperature collected by a single sensor exceeds the normal temperature threshold range, whether multiple sensor data in the same vehicle area show abnormal temperature rises synchronously, and whether the data change rate exceeds the normal temperature rise rate, etc.

[0088] Based on the initial detection information, a preliminary assessment can be made as to whether a vehicle poses a fire risk. For example, by filtering and statistically analyzing the information collected by various sensors and the vehicle area corresponding to each sensor, the initial detection information can be determined to meet the fire detection criteria.

[0089] In some embodiments, the first detection information may include detection information collected by each sensor. A vehicle meeting the fire detection conditions may include at least one of the following: (1) The detection information collected by any one or more sensors indicates that there is an abnormal fire index in the vehicle.

[0090] Among them, abnormal fire indicators refer to sensor detection parameters exceeding the corresponding benchmark thresholds, such as temperature exceeding a preset temperature threshold or smoke concentration exceeding a preset concentration threshold.

[0091] (2) The detection information collected by multiple sensors in the same vehicle area is linked to indicate that the vehicle has abnormal fire indicators.

[0092] If multiple sensors simultaneously detect abnormal fire indicators in the same vehicle area, it indicates a consistent abnormality in the area, suggesting a high probability of a fire, and the vehicle meets the fire detection criteria.

[0093] (3) The detection information collected by any one or more sensors indicates that the vehicle’s temperature rise rate is greater than the preset temperature rise threshold.

[0094] The preset temperature rise threshold refers to the threshold for the rate of temperature increase per unit time. When one or more sensors detect that the vehicle's temperature rise rate exceeds the preset temperature rise threshold, it indicates that the vehicle is experiencing rapid heating, which is inconsistent with the natural temperature rise pattern. Therefore, it can be determined that the vehicle meets the fire detection conditions.

[0095] This embodiment can integrate detection information collected by multiple sensors to determine whether a vehicle meets the fire detection conditions, thereby improving the accuracy of fire detection and preventing false positives and false negatives.

[0096] In some embodiments, such as Figure 3 As shown, when the vehicle is in a dormant state and does not meet the fire detection conditions, the vehicle can execute one or more control actions through step S307, including controlling the vehicle to exit the remote monitoring mode, shutting down the vehicle's auxiliary power supply circuit, and controlling the vehicle to return to the low-power inspection state corresponding to the dormant state. These control actions are described below.

[0097] (1) Control the vehicle to exit the remote monitoring mode.

[0098] Because the vehicle communication unit operates continuously in remote monitoring mode, which generates power consumption, the vehicle can disconnect the remote communication link with the vehicle server to reduce the static power consumption of the communication module when there is no suspected fire hazard.

[0099] (2) Shut down the vehicle’s auxiliary power supply circuit.

[0100] When there is no fire hazard in the vehicle, the vehicle does not need to perform in-depth inspection. Therefore, after disconnecting the auxiliary power supply circuit, only the minimum sensor wake-up power supply channel is retained, which can meet the inspection needs and reduce the vehicle's power consumption.

[0101] (3) Control the vehicle to return to the low-power inspection state corresponding to the hibernation state.

[0102] After resuming hibernation, the vehicle returns to the primary detection mode (low-power inspection mode) for routine inspections, collecting and detecting information at low frequencies.

[0103] This embodiment enables the timely release of hardware resources such as remote communication and auxiliary power supply circuits when the vehicle does not meet the conditions for fire detection and there are no suspected fire hazards. This reduces the power consumption of the vehicle during sleep mode, optimizes the static power consumption of the whole vehicle while ensuring that the basic fire detection capability is not interrupted, and avoids unnecessary power consumption of the battery in long-term parking scenarios.

[0104] S103. If the vehicle meets the fire detection conditions, acquire the second detection information collected by multiple sensors.

[0105] The second detection information refers to the information collected by multiple sensors when the vehicle meets the fire detection conditions, used to accurately analyze the vehicle's fire risk. In some examples, compared to the first detection information, the second detection information may include sensor data with higher sampling density, longer time span, and more dimensions.

[0106] For example, the second detection information may be detection information collected by multiple sensors within a second preset time period after it is determined that the vehicle meets the fire detection conditions. The second preset time period may be greater than or equal to the first preset time period.

[0107] like Figure 3 As shown in step S306, when it is determined that the vehicle meets the fire detection conditions, the vehicle starts a timing mechanism to control multiple sensors to collect detection information within a second preset time period, thereby obtaining the second detection information.

[0108] S104. Based on the second detection information, determine the fire risk level of the vehicle, and carry out fire early warning processing based on the fire risk level.

[0109] The fire risk level indicates the severity of a fire risk. For example, fire risk levels can include low risk, moderate risk, and high risk. A higher risk level indicates a greater likelihood of thermal runaway or ignition. It should be understood that fire risk levels can be further subdivided into multiple levels, not just the three levels illustrated here.

[0110] After obtaining the second detection information, the vehicle can use a multi-source fusion algorithm to decompose and analyze the second detection information to determine the fire risk level, and then carry out corresponding early warning processing based on the fire risk level.

[0111] In some embodiments, in order to improve the accuracy of fire detection, the second detection information can be preprocessed in a time series before analysis, such as denoising and jitter reduction, removing packet loss and transient interference, and normalization, to improve information quality.

[0112] In order to shield against environmental interference and improve the accuracy of fire analysis, in some embodiments, at least one environmental sensor, such as a tire pressure sensor, a rain sensor, and temperature sensors for the left and right side mirrors, may also be installed on the vehicle.

[0113] Therefore, the vehicle can also determine the environmental characteristics of the environment in which the vehicle is located based on the detection information collected by the environmental sensors. Then, based on the environmental characteristics, it can identify environmental interference features in the second detection information and filter out the environmental interference features in the second detection information.

[0114] Among them, environmental characteristics can include external disturbance characteristics such as ambient temperature, rainfall conditions, and external thermal environment of the vehicle body.

[0115] For example, by analyzing the detection information collected by environmental sensors and extracting environmental features, the environmental interference features caused by the external environment in the second detection information can be accurately identified, and non-fire-related abnormal data such as rainfall, high ambient temperature, and external heat source radiation can be eliminated. Thus, environmental interference features are filtered in the second detection information, and real vehicle fire-related abnormal data are retained.

[0116] Therefore, this embodiment can effectively distinguish between abnormal environmental disturbances and abnormal vehicle fire conditions, eliminate interference from external environmental factors on fire detection data, avoid invalid depth detection and false risk assessments caused by environmental mis-triggers, further improve the accuracy and anti-interference capability of vehicle fire detection, and ensure the stability and reliability of vehicle fire monitoring in complex outdoor environments.

[0117] In some embodiments, in step S104, reference Figure 5 As shown, the following methods can be executed: S501. Analyze the detection information collected by each sensor to determine the local information features of the detection information and the joint information features of all detection information.

[0118] The local information features may include at least one of the attribute features, amplitude features, trend features, gradient features, or time series features of the detection information, and the joint information features may include the detection information features corresponding to multiple sensors that detected anomalies within the same vehicle area.

[0119] In this example, attribute features can include inherent attribute information such as sensor type, detection location, and detection object. Amplitude features refer to the instantaneous value, peak value, and amplitude of change corresponding to the detected information, such as real-time temperature value or instantaneous smoke concentration value. Trend features refer to the overall trend of data change corresponding to the detected information over a period of time, representing a slow and cumulative pattern of change.

[0120] Gradient features refer to the amount of parameter change per unit time, i.e., the rate of change, such as the rate of temperature rise or the rate of increase in combustible gas concentration. Time-series features refer to the characteristics of a sequence of continuously sampled detection data, which may include the start time of data anomalies, duration, differences between adjacent time points, steady-state offset, etc.

[0121] Joint information features refer to a set of various local information features of multiple detected anomalies within the same vehicle area. For example, joint information features may include temperature features, smoke concentration features, thermal imaging features, and combustible gas concentration features corresponding to the same vehicle area.

[0122] Depending on the type of information collected by the sensors, the vehicle can analyze various detection information, extract local information features separately, and then perform joint analysis on the detection information corresponding to the same vehicle area based on the vehicle area to extract joint information features.

[0123] S502. Based on local information features and joint information features, determine the fire risk level of the vehicle.

[0124] Based on local and joint information features, multi-dimensional and cross-parameter cross-verification can be performed from the features of a single sensor and the joint anomalies of multiple sensors in the same vehicle area to determine the probability of vehicle fire hazards, the severity and situation after a fire occurs, etc., so as to achieve graded and quantitative judgment and accurately determine the fire risk level.

[0125] As can be seen, through steps S501 to S502, local information features and joint information features can be combined to analyze the fire risk level of the vehicle, avoiding misjudgments and omissions caused by single sensor detection, achieving accurate fire identification, and providing accurate and reliable basis for subsequent early warning and handling.

[0126] In some embodiments, in step S502, the vehicle can determine the fire risk level based on the risk assessment conditions satisfied by the local information features and the joint information features. The risk assessment conditions include mild assessment conditions, moderate assessment conditions, and severe assessment conditions.

[0127] Among them, the local information features and joint information features that meet the mild judgment conditions can include: the local information features indicate that there is a single-dimensional attribute anomaly within the vehicle and the change amplitude of the detection information is lower than the mild amplitude threshold, and the joint information features indicate that there are no multiple detection information anomalies within any vehicle area.

[0128] For example, if local information features indicate that only a single sensor in the vehicle detects an anomaly, and the anomaly is relatively minor, and there is no smoke, open flame, or excessive combustible gas inside the vehicle, and the vehicle temperature only fluctuates slowly and slightly in a localized area without any deterioration trend; and if joint information features indicate that no multiple sensors detect anomalies within a vehicle area, then the fire risk level can be determined to be a low risk level, which is mostly due to environmental interference or slight aging and heating of components.

[0129] The criteria for moderate fire severity determination can include: local information features indicating a sudden change in the detection information gradient, a persistent abnormal trend, or the fulfillment of a single fire hazard indicator within the vehicle; and joint information features indicating the presence of multiple abnormal detection information within the same vehicle area. Fire hazard indicators include any one of the following: temperature exceeding a preset temperature threshold, smoke concentration exceeding a preset concentration threshold, or combustible gas content exceeding a preset content threshold.

[0130] For example, if local information features indicate that there is a rapid temperature rise and abrupt change in temporal gradient within the vehicle, and the infrared thermal imaging sensor detects a fixed high-temperature hot spot, indicating that the vehicle has slight smoke or a small amount of flammable gas leakage, and multiple sensors detect the anomaly in conjunction, with the anomaly being significant and persistent, it suggests that the vehicle is highly likely to be on fire, and the fire risk level is moderate.

[0131] The conditions for severe fire detection can be met by local information features and joint information features: local information features indicate that the vehicle has a change in detection information that exceeds the severe fire threshold; joint information features indicate that there is an abnormality in the detection information across the entire vehicle, that multiple fire indicators are met, or that there is a continuous high-temperature area.

[0132] For example, if local information features indicate a drastic change in vehicle temperature, severely excessive smoke and combustible gas concentrations, and infrared thermal imaging sensors detect a large area of ​​high-temperature combustion, and combined information features indicate severe anomalies in multi-sensor detection information across the entire domain with parameters significantly exceeding limits, then the vehicle may already be in serious fire condition, and the vehicle's fire risk level is high risk.

[0133] It is evident that this method enables refined identification of fire risk levels, comprehensively assesses the fire risk level of vehicles from various feature dimensions, and facilitates subsequent early warning and handling of fire risks at corresponding levels, thereby ensuring vehicle safety.

[0134] In some embodiments, when conducting fire early warning processing based on fire risk level, if the fire risk level is low, it can be determined that the vehicle only has a single weak anomaly and no real fire hazard or development trend. Therefore, the vehicle can terminate the collection of the first and second detection information.

[0135] Based on the medium fire risk level, it can be determined that the vehicle is experiencing an abnormal fire and the potential for the fire to develop. Therefore, the vehicle can continuously monitor its fire status through multiple sensors. Additionally, the vehicle can also output early warning information.

[0136] Based on the high-risk fire level, it can be determined that a fire has broken out in the vehicle, and the risk continues to spread and worsen. Therefore, the vehicle can continuously monitor the fire status through multiple sensors, disconnect the vehicle's high-voltage power supply, shut down the vehicle's electrical loads, cut off the power supply to the fire, and prevent the fire from spreading further. Similarly, the vehicle can also output early warning information.

[0137] In some examples, different early warning methods may be used depending on the fire risk level. For instance, for a low-risk level, only fire information may be recorded without taking emergency action, simply prompting users to investigate and mitigate the risk. Alternatively, more intensive monitoring of key abnormal areas may be implemented to track parameter changes. For a medium-risk level, fire warnings can be issued through various means, such as SMS messages and mobile applications.

[0138] For high-risk levels, a comprehensive early warning approach can be adopted, using strong reminders such as in-vehicle audio, in-vehicle pop-ups, flashing headlights, SMS messages, and phone calls to alert users to avoid safety risks.

[0139] Through the above embodiments, vehicles can be controlled accordingly based on the fire risk level to avoid potential fire development hazards, minimize fire losses, and ensure the safety of vehicles and users.

[0140] In summary, the vehicle fire detection and early warning method provided in this embodiment can achieve comprehensive vehicle fire detection by utilizing multiple sensors, thereby improving vehicle protection capabilities. Furthermore, the two-level fire detection method can improve the accuracy of fire detection. Adopting different handling methods for different fire risk levels can enhance the vehicle's emergency response capabilities and ensure vehicle safety.

[0141] It should be noted that the processing of data protected by the laws and regulations of relevant countries and regions involved in the embodiments of this application (e.g., collection, storage, use, processing, transmission, provision and disclosure) complies with the relevant laws and regulations of the relevant countries and regions.

[0142] The vehicle detection and early warning method according to the embodiments of this application has been described above. The apparatus for performing the above method provided in the embodiments of this application is described below. Those skilled in the art will understand that the methods and apparatus can be combined with and referenced by each other. The related apparatus provided in the embodiments of this application can perform the steps in the above vehicle detection and early warning method. The related apparatus can be referred to in the following description: Figure 6 This is a schematic diagram of a vehicle detection and early warning device provided in an embodiment of this application. The vehicle is equipped with multiple sensors used to detect fire-related information inside and outside the vehicle. Figure 6 As shown, the vehicle detection and warning device 600 may include: a first acquisition module 610, a first determination module 620, a second acquisition module 630, and a second determination module 640.

[0143] The first acquisition module 610 is used to initiate fire detection of the vehicle based on the start-up strategy corresponding to the current operating state of the vehicle, and acquire first detection information collected by multiple sensors. The first determining module 620 is used to determine whether the vehicle meets the fire detection conditions based on the first detection information; The second acquisition module 630 is used to acquire second detection information collected by multiple sensors when the vehicle meets the fire detection conditions. The second determination module 640 is used to determine the fire risk level of the vehicle based on the second detection information, and to carry out fire early warning processing based on the fire risk level.

[0144] In some embodiments, the current operating state includes an active state or a dormant state. The first acquisition module 610 can be used to, when the vehicle is in an active state, initiate fire detection if any of the multiple sensors detects an abnormal temperature in the vehicle; and when the vehicle is in a dormant state, wake up the multiple sensors according to a preset wake-up strategy, and then initiate fire detection. The preset wake-up strategy includes periodic wake-up and / or wake-up event wake-up; the wake-up event includes the vehicle receiving a control signal, or the detection information from any of the multiple sensors indicating that the vehicle temperature is greater than a target wake-up threshold.

[0145] In some embodiments, after initiating fire detection in the vehicle, the first acquisition module 610 can also be used to activate the vehicle's auxiliary power supply circuit when the vehicle is in a dormant state, so that multiple sensors collect first detection information and second detection information at a first preset sampling frequency; and / or, control the vehicle to enter a remote monitoring mode to synchronize the first detection information and second detection information to the vehicle server for fire assessment. Wherein, the first preset sampling frequency is higher than the second preset sampling frequency, and the second preset sampling frequency is the sampling frequency of the multiple sensors in the low-power inspection state corresponding to the dormant state; the first detection information is the detection information collected by multiple sensors within a first preset duration after fire detection is initiated; the second detection information is the detection information collected by multiple sensors within a second preset duration after it is determined that the vehicle meets the fire detection conditions; the second preset duration is greater than or equal to the first preset duration.

[0146] In some embodiments, the first acquisition module 610 can also be used to verify and update the target wake-up threshold according to a preset update time interval; and, in response to the vehicle's operating state switching to a working state, to stop verifying and updating the target wake-up threshold according to the preset update time interval.

[0147] In some embodiments, the first acquisition module 610 can also be used to compensate the ambient temperature value of the vehicle based on a preset temperature compensation value to obtain a compensated temperature value; if the compensated temperature value is within a preset temperature range, the compensated temperature value is determined as the target wake-up threshold; if the compensated temperature value is lower than the lower limit of the preset temperature range, the lower limit is determined as the target wake-up threshold; or, if the compensated temperature value is higher than the upper limit of the preset temperature range, the upper limit is determined as the target wake-up threshold.

[0148] In some embodiments, the first determining module 620 can also be used to perform any one or more of the following control actions when the vehicle is in a dormant state and the vehicle does not meet the fire detection conditions: control the vehicle to exit the remote monitoring mode; shut down the vehicle's auxiliary power supply circuit; control the vehicle to resume the low-power inspection state corresponding to the dormant state.

[0149] In some embodiments, a vehicle meets the fire detection conditions, including at least one of the following: detection information collected by any one or more sensors indicates that the vehicle has abnormal fire indicators; detection information collected by multiple sensors in the same vehicle area indicates that the vehicle has abnormal fire indicators; detection information collected by any one or more sensors indicates that the vehicle's temperature rise rate is greater than a preset temperature rise threshold.

[0150] In some embodiments, the vehicle further includes at least one environmental sensor; before determining the fire risk level of the vehicle based on the second detection information, the second determination module 640 may also be used to determine the environmental characteristics of the environment in which the vehicle is located based on the detection information collected by the environmental sensor; based on the environmental characteristics, identify environmental interference features in the second detection information, and filter out environmental interference features in the second detection information.

[0151] In some embodiments, the second determining module 640 can be used to analyze the detection information collected by each sensor, determine the local information features of the detection information, and the joint information features of all the detection information; and determine the fire risk level of the vehicle based on the local information features and the joint information features. The local information features include at least one of the attribute features, amplitude features, trend features, gradient features, or time-series features of the detection information, and the joint information features include the detection information features corresponding to multiple sensors that detected anomalies within the same vehicle area.

[0152] In some embodiments, the second determining module 640 can be used to determine the fire risk level based on the risk assessment conditions satisfied by local information features and joint information features. The risk assessment conditions include mild assessment conditions, moderate assessment conditions, and severe assessment conditions. Specifically, satisfying the mild assessment conditions includes: local information features indicating the existence of a single-dimensional attribute anomaly within the vehicle, the magnitude of the change in detection information being lower than the mild magnitude threshold, and joint information features indicating the absence of multiple detection information anomalies within any vehicle area; satisfying the moderate assessment conditions includes: local information features indicating a sudden change in the gradient of detection information within the vehicle, a continuous trend of anomaly, or satisfaction of a single fire indicator, and joint information features indicating the presence of multiple detection information anomalies within the same vehicle area; satisfying the severe assessment conditions includes: local information features indicating that the magnitude of the change in detection information within the vehicle is higher than the severe magnitude threshold, and joint information features indicating the presence of a global detection information anomaly within the vehicle, satisfaction of multiple fire indicators, or the existence of a continuous high-temperature area.

[0153] In some embodiments, the fire risk level includes a low risk level, a medium risk level, and a high risk level. The second determining module 640 can be used to terminate the acquisition of the first detection information and the second detection information based on the fire risk level being low risk level; to continuously detect the fire status of the vehicle through multiple sensors based on the fire risk level being medium risk level; and to continuously detect the fire status of the vehicle through multiple sensors based on the fire risk level being high risk level, and disconnect the high-voltage power supply of the vehicle and shut down the electrical loads on the vehicle.

[0154] In some embodiments, the plurality of sensors include at least one of an in-vehicle temperature sensor, a tire pressure sensor, a rearview mirror temperature sensor, an infrared thermal imaging sensor, a temperature and humidity sensor, a smoke sensor, and a combustible gas sensor; the infrared thermal imaging sensor is disposed at least in at least one of the vehicle's engine compartment, battery compartment, or passenger compartment; the temperature and humidity sensor is disposed along at least one of the vehicle's wiring harness, battery module, or fuel line; and the smoke sensor and / or combustible gas sensor is disposed in the bottom area of ​​at least one of the engine compartment, battery compartment, or passenger compartment.

[0155] This application also provides a vehicle control device, see embodiments thereof. Figure 7 The vehicle control device 700 may include a memory 710, a processor 720, and a communication interface (not shown in the figure). The memory 710, processor 720, and communication interface are connected via an internal connection path. The memory 710 stores instructions, and the processor 720 executes the instructions stored in the memory 710 to control the communication interface to acquire information, enabling the vehicle control device 700 to implement the aforementioned vehicle detection and warning method. Optionally, the memory 710 may be coupled to the processor 720 via an interface, or it may be integrated with the processor 720.

[0156] It should be noted that the above communication interface uses transceiver devices such as, but not limited to, transceivers. The above communication interface may also include an input / output interface.

[0157] The processor 720 stores one or more computer programs, which include instructions. When the instructions are executed by the processor 720, the vehicle control device 700 performs the methods described in the above embodiments.

[0158] In implementation, each step of the above method can be completed by the integrated logic circuitry of the hardware in the processor 720 or by instructions in software form. The method disclosed in the embodiments of this application can be directly implemented by the hardware processor, or by a combination of hardware and software modules in the processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory 710, and the processor 720 reads the information in memory 710 and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, detailed descriptions are not provided here.

[0159] As one possible implementation, the vehicle control device 700 can be a physical device, such as including one or more of the following modules: central processing unit, microprocessor, application-specific integrated circuit, field-programmable gate array, complex programmable logic device (CPLD), coprocessor (assisting the central processing unit in completing corresponding processing and applications), microcontroller unit (MCU), domain controller (DC), vehicle domain controller unit (VDC), electronic control unit (ECU), cockpit domain controller (CDC), vehicle integrated unit (VIU), vehicle control unit (VCU), motor control unit (MCU), etc. Furthermore, the vehicle control device 700 includes at least one processor integrated in the form of a system-on-chip (SoC), commonly referred to by those skilled in the art as an SoC. This SoC may include at least one processor, and when the SoC includes multiple processors, the types of the multiple processors may be different.

[0160] Optionally, Figure 7 The memory 710 in the system can store data collected by sensors deployed on the vehicle, as well as mapping relationships, etc. Figure 7 The processor 720 can implement the steps in the vehicle detection and early warning method in the foregoing embodiments.

[0161] This application also provides a computer-readable storage medium storing program code that, when run on a computer, causes the computer to perform any of the methods described in the above embodiments.

[0162] This application also provides a computer program product, which includes a computer program that, when run, causes the computer to perform any of the methods described in the above embodiments.

[0163] This application also provides a chip, including: a circuit for performing any of the methods in the above embodiments.

[0164] This application also provides a device, including... Figure 6 The vehicle detection and warning device 600 shown is... Figure 7 The vehicle control device 700 shown can perform any of the methods described in the above embodiments.

[0165] This application also provides a vehicle, including... Figure 6The vehicle detection and warning device 600 shown is... Figure 7 The vehicle control device 700 shown is shown.

[0166] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0167] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0168] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0169] 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 network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0170] In addition, the functional units in the various embodiments of this application 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.

[0171] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion 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 this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0172] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0173] The terms "first," "second," etc., used in the specification, claims, and drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms are interchangeable where appropriate; this is merely a way of distinguishing objects with the same attributes in the description of embodiments of this application. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, so that a process, method, system, product, or apparatus that comprises a series of elements is not necessarily limited to those elements, but may include other elements not explicitly listed or inherent to those processes, methods, products, or apparatuses.

[0174] It is understood that, in the embodiments of this application, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

Claims

1. A method for detecting and warning of vehicles, characterized in that, The vehicle is equipped with multiple sensors, which are used to detect fire-related information inside and outside the vehicle. The method includes: Based on the startup strategy corresponding to the current operating state of the vehicle, the fire detection of the vehicle is initiated, and the first detection information collected by the multiple sensors is obtained. Based on the first detection information, determine whether the vehicle meets the fire detection conditions; When the vehicle meets the fire detection conditions, the second detection information collected by the multiple sensors is acquired. Based on the second detection information, the fire risk level of the vehicle is determined, and a fire early warning is issued based on the fire risk level.

2. The method according to claim 1, characterized in that, The current operating state includes either a working state or a dormant state; the step of activating the vehicle's fire detection based on the startup strategy corresponding to the vehicle's current operating state includes: When the vehicle is in the operating state, if any of the plurality of sensors detects an abnormal temperature in the vehicle, then the fire detection of the vehicle is activated. When the vehicle is in the dormant state, the multiple sensors are woken up according to a preset wake-up strategy, and after the multiple sensors are woken up, the fire detection of the vehicle is initiated. The preset wake-up strategy includes periodic wake-up and / or wake-up event wake-up; the wake-up event includes the vehicle receiving a control signal, or the detection information of any of the multiple sensors indicating that the vehicle temperature is greater than the target wake-up threshold.

3. The method according to claim 2, characterized in that, After initiating the fire detection of the vehicle, the method further includes: If the vehicle is in the dormant state, the auxiliary power supply circuit of the vehicle is activated so that the multiple sensors collect the first detection information and the second detection information at a first preset sampling frequency; and / or, the vehicle is controlled to enter the remote monitoring mode so that the first detection information and the second detection information are synchronized to the vehicle server for fire situation judgment. Wherein, the first preset sampling frequency is higher than the second preset sampling frequency, and the second preset sampling frequency is the sampling frequency of the plurality of sensors in the low-power inspection state corresponding to the sleep state; The first detection information is the detection information collected by the multiple sensors within a first preset time period after the fire detection is initiated; the second detection information is the detection information collected by the multiple sensors within a second preset time period after it is determined that the vehicle meets the fire detection conditions; the second preset time period is greater than or equal to the first preset time period.

4. The method according to claim 2, characterized in that, The method further includes: The target wake-up threshold is verified and updated according to a preset update time interval; and... In response to the vehicle's operating state switching to the working state, the verification and updating of the target wake-up threshold according to the preset update time interval is stopped; The step of verifying and updating the target wake-up threshold includes: The ambient temperature of the vehicle is compensated based on a preset temperature compensation value to obtain a compensated temperature value. If the compensated temperature value is within the preset temperature range, then the compensated temperature value is determined as the target wake-up threshold. If the compensated temperature value is lower than the lower limit of the preset temperature range, the lower limit is determined as the target wake-up threshold; or, if the compensated temperature value is higher than the upper limit of the preset temperature range, the upper limit is determined as the target wake-up threshold.

5. The method according to claim 3, characterized in that, The method further includes: If the vehicle is in the dormant state and the vehicle does not meet the fire detection conditions, then any one or more of the following control actions will be executed: Control the vehicle to exit the remote monitoring mode; Shut down the auxiliary power supply circuit of the vehicle; Control the vehicle to restore the low-power inspection state corresponding to the sleep state.

6. The method according to any one of claims 1-5, characterized in that, The vehicle meets the fire detection requirements, including at least one of the following: The detection information collected by any one or more sensors indicates that the vehicle has abnormal fire indicators; The detection information collected by multiple sensors in the same vehicle area is linked to indicate that the vehicle has abnormal fire indicators; The detection information collected by any one or more sensors indicates that the vehicle's temperature rise rate is greater than a preset temperature rise threshold.

7. The method according to any one of claims 1-5, characterized in that, The vehicle also includes at least one environmental sensor; before determining the fire risk level of the vehicle based on the second detection information, the method further includes: Based on the detection information collected by the environmental sensors, the environmental characteristics of the environment in which the vehicle is located are determined; Based on the environmental characteristics, environmental interference features in the second detection information are identified, and the environmental interference features are filtered out in the second detection information.

8. The method according to any one of claims 1-5, characterized in that, The step of determining the fire risk level of the vehicle based on the second detection information includes: The detection information collected by each sensor is analyzed to determine the local information features of the detection information and the joint information features of all the detection information. Based on the local information features and the joint information features, the fire risk level of the vehicle is determined; The local information features include at least one of the attribute features, amplitude features, trend features, gradient features, or time-series features of the detection information, and the joint information features include the detection information features corresponding to multiple sensors that detected anomalies within the same vehicle area.

9. A vehicle detection and early warning device, characterized in that, The vehicle is equipped with multiple sensors for detecting fire-related information inside and outside the vehicle. The device includes: The first acquisition module is used to initiate fire detection of the vehicle based on the start-up strategy corresponding to the current operating state of the vehicle, and acquire the first detection information collected by the multiple sensors. The first determining module is used to determine whether the vehicle meets the fire detection conditions based on the first detection information. The second acquisition module is used to acquire the second detection information collected by the multiple sensors when the vehicle meets the fire detection conditions. The second determining module is used to determine the fire risk level of the vehicle based on the second detection information, and to conduct fire warning and handling based on the fire risk level.

10. A vehicle, characterized in that, The vehicle is used to perform the method as described in any one of claims 1-8.

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