Vehicle ignition prevention control method, device and system, vehicle and medium

Abstract

The invention provides a vehicle anti-ignition control method and device, a control system, a vehicle and a medium, and relates to the technical field of vehicle safety. According to the method, environment combustion parameters at corresponding moments are determined through vehicle exterior environment parameters obtained when the vehicle is in a constant electric detection mode, and the environment combustion parameters comprise smoke diffusion parameters, heat radiation intensity parameters and spectrum deviation parameters; the accuracy of fire behavior detection is improved by using a plurality of external environment parameters of different dimensions; fire behavior risk detection is carried out based on the environment combustion parameters at all moments, the current fire behavior grade is determined, and the fire behavior risk outside the vehicle is predicted through the multi-dimensional environment parameters, so that the fire behavior detection cost is reduced; and the vehicle is controlled to execute the corresponding risk avoiding strategy based on the current fire behavior grade, so that the risk of passive ignition of the vehicle is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle safety, and in particular, to a vehicle anti-ignition control method, device, control system, vehicle and medium. Background Art

[0002] Currently, for the prevention and control strategies of environmental fires igniting vehicles and causing combustion damage, the main focus is on improving the heat resistance and heat insulation performance of vehicle assemblies and components to slow down the heat spread rate from the outside combustion to the inside of the vehicle, thereby reducing the impact of external fires on the vehicle. However, when the environmental fire is large and cannot be effectively controlled in a short time, such methods often fail to achieve the expected effect.

[0003] In areas with high vehicle density such as parking lots and charging stations, environmental fires are extremely likely to cause the spread of fire, resulting in the passive ignition of surrounding vehicles, and further causing more serious casualties and property losses. Therefore, in the field of vehicle external anti-combustion alarm technology, a method of monitoring the parameters directly collected by sensors (such as collecting temperature information through temperature sensors) is usually used to evaluate the external environment of the vehicle, and corresponding alarm response mechanisms are implemented according to the environmental conditions of different safety levels. However, in an environment with high vehicle density and high fire risk, since most vehicles may be unattended, and the accuracy of collecting relevant parameters by common sensors is low, and the cost of fire detection sensors is high, the risk of large-scale ignition of vehicles caused by environmental fires increases significantly, and more serious consequences are likely to occur.

[0004] In summary, the prior art has technical problems of inaccurate detection of the fire situation in the vehicle external environment and high risk of passive ignition of the vehicle. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide a vehicle anti-ignition control method, device, control system, vehicle and medium to solve the technical problems of inaccurate detection of the fire situation in the vehicle external environment and high risk of passive ignition of the vehicle existing in the prior art.

[0006] In a first aspect, the present invention provides a vehicle anti-ignition control method, including: when the vehicle is in the normal power detection mode, obtaining the external environment parameters of the vehicle at each moment at the parking position; based on the external environment parameters at each moment, determining the environmental combustion parameters at the corresponding moment; the environmental combustion parameters include smoke diffusion parameters, heat radiation intensity parameters and spectral shift parameters; based on the smoke diffusion parameters, the heat radiation intensity parameters and the spectral shift parameters at each moment, performing a fire risk detection to determine the current fire risk level; based on the current fire risk level, controlling the vehicle to execute the corresponding risk avoidance strategy.

[0007] In an alternative embodiment, the external environment parameters of the vehicle include: the ignition distance between the vehicle and the combustible, the environmental diffusion coefficient corresponding to the parking position, and the flame images and thermal images at each moment obtained by on-vehicle sensors; the ignition distance represents the distance value between the central position of the combustion area of the combustible at each moment and the parking position, and the combustion area of the combustible at each moment is determined based on the thermal image at each moment; the environmental diffusion coefficient is determined based on the environmental conditions at each moment where the parking position is located.

[0008] In an alternative embodiment, according to the external environment parameters of the vehicle at each moment, the environmental combustion parameters at the corresponding moment are determined, including: for any moment, the flame image and the thermal image at that moment are respectively analyzed to obtain the flame spectral characteristics and the combustion area at that moment; based on the mapping table configured for different combustible types and different flame spectral characteristics, the combustible type corresponding to the flame spectral characteristics at that moment is determined; based on the combustible type, the combustion area, the environmental diffusion coefficient, and the ignition distance, the smoke diffusion parameter is determined.

[0009] Based on the mapping table configured for different combustible types and different flame emissivities, the target flame emissivity corresponding to the combustible type is determined, and based on the target flame emissivity, the Boltzmann constant, the flame temperature, and the ignition distance, the thermal radiation intensity parameter is determined; the flame temperature is the temperature at the edge of the combustion area.

[0010] Based on the mapping tables configured for different combustible types respectively with different characteristic wavelength weights and different wavelength intensities, the target characteristic wavelength weights at different moments and the target wavelength intensities at the corresponding moments corresponding to the combustible type are determined, and based on the target characteristic wavelength weights at different moments and the target wavelength intensities at the corresponding moments, the spectral shift parameter is determined.

[0011] In an alternative embodiment, based on the combustible type, the combustion area, the environmental diffusion coefficient, and the ignition distance, the smoke diffusion parameter is determined, including: according to the combustible type and the combustion area, the fire intensity is determined; based on the fire intensity, the ignition distance, and the environmental diffusion coefficient, the smoke diffusion parameter is determined.

[0012] In an alternative embodiment, based on the target flame emissivity, the Boltzmann constant, the flame temperature, and the ignition distance, the thermal radiation intensity parameter is determined, including: obtaining the first product of the fourth power of the flame temperature, the target flame emissivity, and the Boltzmann constant, and the second product of the square of the ignition distance and 4π; based on the ratio of the first product to the second product, the thermal radiation intensity parameter is determined.

[0013] In an alternative embodiment, determining a spectral offset parameter based on the target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times includes: determining, as the spectral index at different times, the ratio of the sum of the products of the target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times to the sum of the target wavelength intensities at different times; looking up a configured mapping table of different combustible types and different offset time periods, determining the target offset time period corresponding to the combustible type, and determining the difference between the spectral index at the current time and the spectral index at a historical time as the spectral offset parameter; the historical time being the time before the current time and at a distance corresponding to the target offset time period.

[0014] In an alternative embodiment, performing a fire risk detection based on the smoke diffusion parameter, the heat radiation intensity parameter, and the spectral offset parameter at each time to determine the current fire risk level includes: determining the current smoke risk level based on the smoke diffusion parameter at each time and configured different smoke thresholds; determining the current heat radiation risk level based on the heat radiation intensity parameter at each time and configured different heat radiation thresholds; determining the current spectral risk level based on the spectral offset parameter within a preset time period and configured different spectral thresholds; and determining the highest risk level among the current smoke risk level, the current heat radiation risk level, and the current spectral risk level as the current fire risk level.

[0015] In an alternative embodiment, the current fire risk level includes a fire notification level, a fire warning level, and a fire ignition level; controlling the vehicle to execute a corresponding risk avoidance strategy based on the current fire risk level includes: if the current fire risk level is the fire notification level, sending a message notification including that there is a combustible near the vehicle to the owner terminal of the vehicle; if the current fire risk level is the fire warning level, sending a message notification including that there is a combustible near the vehicle to the owner terminal of the vehicle, and controlling the in-vehicle rescue system to issue a warning indication; if the current fire risk level is the fire ignition level, determining an evacuation route based on the parking position and the current combustion position; and controlling the autonomous driving system of the vehicle to start so that the vehicle drives away from the parking position along the evacuation route.

[0016] In an alternative embodiment, the external environment parameters further include the area of combustibles around the vehicle, and the method further includes: if the current fire risk level is the fire notification level or the fire warning level, an initial fire analysis algorithm is used to process the flame temperature, the ignition distance, the fire spread speed, and the combustible range to obtain a fire analysis value; the fire spread speed is determined according to the fire intensity and the ignition distance; the combustible range is determined according to the combustion area and the area of combustibles; when it is detected that the fire analysis value is within the fire analysis range, a new fire analysis algorithm is used to process the flame temperature, the ignition distance, the fire spread speed, and the combustible range to obtain a new fire analysis value; the new fire analysis algorithm is obtained by adjusting the weight value target coefficient of the fire spread speed in the initial fire analysis algorithm; based on the new fire analysis value and the fire analysis range, a new current fire risk level is determined.

[0017] In an alternative embodiment, the target coefficient is obtained by summing the reciprocal of the predicted fire arrival time and 1 after determining the predicted fire arrival time according to the ignition distance and the fire spread speed.

[0018] In a second aspect, the present invention provides a vehicle anti-ignition control device, including: an acquisition module, configured to acquire the external environment parameters of the vehicle at each moment at the parking position when the vehicle is in the constant power detection mode; a combustion parameter determination module, configured to determine the environmental combustion parameters at the corresponding moment based on the external environment parameters at each moment; the environmental combustion parameters include a smoke diffusion parameter, a heat radiation intensity parameter, and a spectral shift parameter; a fire risk level determination module, configured to perform fire risk detection based on the smoke diffusion parameter, the heat radiation intensity parameter, and the spectral shift parameter at each moment to determine the current fire risk level; a control module, configured to control the vehicle to execute a corresponding risk avoidance strategy based on the current fire risk level.

[0019] In a third aspect, the present invention provides a control system, including: a memory and a processor, where a computer program that can run on the processor is stored in the memory, and when the processor executes the computer program, the steps of the method according to any one of the foregoing embodiments are implemented.

[0020] In a fourth aspect, the present invention provides a vehicle, and the vehicle includes the control system according to any one of the foregoing embodiments.

[0021] In a fifth aspect, the present invention provides a computer-readable storage medium, where computer-executable instructions are stored, and when the computer-executable instructions are called and run by a processor, the computer-executable instructions cause the processor to run the method according to any one of the foregoing embodiments.

[0022] In summary, the present invention provides a vehicle anti-ignition control method, device, control system, vehicle and medium. In the embodiments of the present invention, the environmental combustion parameters at corresponding moments are determined by the vehicle external environment parameters obtained when the vehicle is in the constant power detection mode, including the smoke diffusion parameter, the heat radiation intensity parameter and the spectral shift parameter. The accuracy of fire detection is improved by using vehicle external environment parameters in multiple different dimensions; the fire risk detection is carried out based on the environmental combustion parameters at each moment to determine the current fire level, and the fire risk outside the vehicle is predicted through multi-dimensional environmental parameters, reducing the cost of fire detection; the vehicle is controlled to execute the corresponding risk avoidance strategy based on the current fire level, thereby reducing the risk of passive ignition of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required to be used in the embodiments of the present invention. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 It is a schematic flowchart of a vehicle anti-ignition control method provided by an embodiment of the present invention;

[0025] Figure 2 It is a schematic structural diagram of a vehicle anti-ignition control system provided by an embodiment of the present invention;

[0026] Figure 3 It is a schematic structural diagram of a specific implementation manner of a vehicle anti-ignition control system provided by an embodiment of the present invention;

[0027] Figure 4 It is a schematic structural diagram of a vehicle anti-ignition control device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The following will describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention.

[0029] The reasons for vehicle combustion generally include spontaneous combustion and passive ignition. Spontaneous combustion usually occurs when the vehicle itself becomes the combustible material for ignition during driving due to reasons such as collision, battery out-of-control, aging of key components, and short circuit. Passive ignition usually refers to the situation where the vehicle catches fire due to being affected by the surrounding fire. In the scenario of high-density vehicle parking, it is common for the surrounding vehicles to be ignited by the ignition of combustibles in the environment where the vehicle is parked. Especially in scenarios such as parking lots and charging stations, most vehicles are unattended, which is likely to cause the fire to spread and passively ignite adjacent vehicles.

[0030] Currently, the strategies for reducing vehicle passive ignition mainly focus on controlling the heat spread rate of the vehicle itself to reduce the impact of external fires on the vehicle interior, or evaluating the vehicle external environment conditions by monitoring information such as temperature directly collected by sensors. However, there is still a lack of better coping strategies for the situation where the vehicle is ignited due to the spread of the surrounding environmental fire.

[0031] Based on this, the embodiments of the present invention provide a vehicle anti-ignition control method, device, control system, vehicle and medium to solve the technical problems of inaccurate detection of the fire situation in the vehicle external environment and high risk of vehicle passive ignition existing in the prior art.

[0032] For the convenience of understanding this embodiment, first, a vehicle anti-ignition control method disclosed in the embodiments of the present invention will be introduced in detail. Figure 1 The following is a schematic flowchart of a vehicle anti-ignition control method provided by the embodiments of the present invention. This method mainly includes the following S110 to S140:

[0033] S110: When the vehicle is in the normal power detection mode, obtain the vehicle external environment parameters at each moment at the parking position of the vehicle;

[0034] The normal power detection mode of the vehicle is generally used to detect whether the normal power circuit maintains normal power supply after the vehicle is turned off. That is to say, the vehicle in the normal power detection mode is usually in a static and turned-off state, which generally corresponds to the scenario where the vehicle is parked and unattended, such as parking lots, charging stations, underground garages, etc.

[0035] In one embodiment, the method provided by the present invention can be applied to the anti-ignition risk control of unmanned vehicles. The unmanned vehicle can be a vehicle without supervision or control, corresponding to the scenario where the vehicle is static, turned off, and the owner leaves the vehicle.

[0036] However, since the situation of passive ignition of the vehicle is not limited to occurring when the vehicle is stationary and turned off, it may also occur in other states such as when the vehicle is stationary but not turned off. Therefore, to reduce the greater impact of passive ignition on the vehicle itself, it is necessary to maintain the detection mode under normal power in real time during the process of the vehicle being stationary. In another embodiment, the normal power detection mode can be maintained in real time during the process of the vehicle being stationary, regardless of whether the vehicle is turned off or not.

[0037] Based on this, the above-mentioned driverless vehicle can also correspond to the scenario where the vehicle is stationary, not turned off, and the owner leaves the vehicle. For example: the owner temporarily parks the car and gets out, but the vehicle is in the state of not being turned off.

[0038] The method provided by the present invention can also be applied to the anti-ignition and risk avoidance control of manned vehicles. The manned vehicle can be a vehicle with someone watching or controlling it, corresponding to the scenario where there is someone in the vehicle but the vehicle is stationary. In this scenario, the vehicle being stationary can include two situations: the vehicle is turned off and the vehicle is not turned off. Among them, the scenario where the manned vehicle is stationary and turned off can be regarded as equivalent to the scenario where the above-mentioned driverless vehicle is stationary and turned off.

[0039] In one implementation manner, the state where the manned vehicle is stationary but not turned off can be the idling state where the vehicle has been started but has not yet started to move. The corresponding scenarios can include any one or more of the following: turning on the in-vehicle air conditioner for preheating or precooling, turning on the in-vehicle screen for navigation, turning on the in-vehicle audio to play music, etc.

[0040] That is to say, the vehicle anti-ignition control method provided by the embodiments of the present invention can be applied to different scenarios corresponding to various states of stationary vehicles. For example: there can be someone or no one in the stationary vehicle; the stationary vehicle can be in the state of being turned off or not being turned off. The application scenarios corresponding to the above states comprehensively consider various situations when the vehicle is parked, reducing the risk of passive ignition of the vehicle caused by external environment combustion.

[0041] In the implementation manner provided by the present invention, the vehicle can use various in-vehicle sensors pre-configured on the vehicle to collect the out-of-vehicle environment parameters around the vehicle in the normal power detection mode.

[0042] The out-of-vehicle environment parameters can be parameters directly obtained by in-vehicle sensors that collect the external environment of the vehicle. The in-vehicle sensors that collect the external environment of the vehicle can include: in-vehicle radar, vision sensors, infrared detection sensors, etc.

[0043] The above-mentioned external vehicle environment parameters may include: the ignition distance between the vehicle and the combustible, and the environmental diffusion coefficient corresponding to the parking position. The above-mentioned ignition distance may be the distance value between the central position of the combustion area and the parking position of the vehicle, which can be obtained by an on-vehicle radar. Among them, the combustion area of the combustible at each moment can be obtained by an infrared detection sensor.

[0044] The scenario where the above-mentioned vehicle is located at the parking position is usually a scenario with a high vehicle density, such as: parking lots, charging stations, underground garages, roadside parking lots, etc.; it can also be a scenario with a relatively low vehicle density but a high fire risk, such as: mountainous areas, forest areas, canyons, tunnels, etc. The environmental diffusion coefficient corresponding to the parking position is determined based on the environmental conditions at each moment where the vehicle is located. The environmental conditions can be determined by the current environmental condition parameters obtained based on on-vehicle sensors.

[0045] As a specific example, the current environmental condition parameters may include: wind speed, humidity, temperature, etc. The above-mentioned environmental condition parameters can be collected by various sensors configured on the vehicle, and then the environmental conditions where the parking position is located can be determined through relevant analysis. For example: after the vehicle parks and the sentry mode is turned on, the current environmental condition parameters of the environment where the vehicle is located are collected through cameras, radars, ultrasonic sensors, etc., and the environmental conditions where the current parking position of the vehicle is located are determined based on these parameters. The environmental conditions where the parking position is located may include: open windless environment, windy environment, enclosed / urban canyon environment, high humidity environment, etc. Generally, the environmental diffusion coefficients corresponding to different environmental conditions are different. The corresponding relationship between the environmental diffusion coefficients and the environmental conditions in several typical scenarios can be referred to Table 1.

[0046] Table 1 - Reference values of environmental diffusion coefficients (k) in typical scenarios;

[0047] Environmental conditions Range of environmental diffusion coefficient k Examples of applicable scenarios Open and windless environment 0.8～1.2 Plains, highways Wind environment (v = 5 m / s) 0.3～0.6 Coastal areas, grasslands Enclosed / urban canyon environment 1.5～2.5 Underground garages, high-rise streets High humidity (H > 80%) 1.2～1.8 Rainforests, rainy areas

[0048] The above-mentioned external vehicle environment parameters may also include: flame images and thermal imaging maps at each moment obtained by on-vehicle sensors. Among them, the flame images at each moment can be obtained by a vision sensor; the thermal imaging map can be obtained by an infrared sensor. In the above S110, the external vehicle environment parameters at each moment at the parking position of the vehicle can be directly or indirectly obtained through some common on-vehicle sensors. Among them, the on-vehicle sensors used are generally basic vehicle sensors, such as: lidar, vision sensors, infrared detection sensors, etc. Usually, they can be sensors pre-configured on the vehicle, without the need to additionally add relevant equipment for professional fire detection, greatly reducing the cost of fire detection. And because the relevant technologies of the above-mentioned sensors used are relatively mature, the external vehicle environment parameters obtained are also relatively accurate.

[0049] S120: Determine the environmental combustion parameters corresponding to each moment based on the external environment parameters of the vehicle at each moment; the environmental combustion parameters include a smoke diffusion parameter, a heat radiation intensity parameter, and a spectral shift parameter;

[0050] Among them, the above environmental combustion parameters can be used to judge the fire spread trend outside the vehicle. In the embodiments of the present invention, the fire spread trend can be judged separately in different dimensions for different types of environmental combustion parameters, or the fire spread trend can be comprehensively judged by combining environmental combustion parameters in different dimensions.

[0051] In one implementation, for any moment, the flame image and the thermal imaging image at that moment can be analyzed respectively to obtain the flame spectral characteristics and the combustion area at that moment; based on the configured mapping table of different combustible types and different flame spectral characteristics, determine the combustible type corresponding to the flame spectral characteristics at that moment. Generally, different combustible types correspond to different flame spectral characteristics. The corresponding relationship between several common combustible types and flame spectral characteristics can be referred to Table 2.

[0052] Table 2 - Common Combustible Types and Flame Spectral Characteristics;

[0053]

[0054]

[0055] Based on the determined combustible type, combustion area, environmental diffusion coefficient, and ignition distance mentioned above, the smoke diffusion parameter can be determined. Among them, the smoke diffusion parameter can include the smoke concentration, the smoke concentration change rate, and the corresponding smoke risk index at each moment.

[0056] In one embodiment, the fire intensity can be determined first according to the combustible type and the combustion area; then, based on the fire intensity, the ignition distance, and the environmental diffusion coefficient, the smoke concentration can be calculated; and then the smoke concentration change rate and the corresponding smoke risk index can be calculated through the smoke concentration.

[0057] As a specific example, the smoke concentration can be calculated by the following formula:

[0058]

[0059] Among them, C is the smoke concentration (unit: mg / m 3 ) ; M is the fire intensity; d is the ignition distance (m); k is the environmental diffusion coefficient.

[0060] The smoke concentration change rate can be obtained from the smoke concentration calculated by the above formula 1, that is, the smoke concentration change rate is (unit: mg / m 3 / s); The corresponding smoke risk index can be the product of the smoke concentration and the rate of change of the smoke concentration, i.e.: The unit is (mg / m 3 ) 2 / s.

[0061] Based on the determined type of combustible, flame temperature, ignition distance, and Boltzmann constant as described above, the thermal radiation intensity parameter can be determined. Among them, the above-mentioned flame temperature is the temperature at the edge of the combustion area, and the temperature at the edge of the combustion area can be determined based on the thermal imaging map obtained by the infrared sensor or directly measured by configuring an infrared thermometer. The thermal radiation intensity parameter includes the thermal radiation intensity at each moment, the rate of change of the thermal radiation intensity, and the temperature-distance risk value at each moment.

[0062] In one embodiment, the target flame emissivity corresponding to the type of combustible can be determined by first looking up the mapping table of different types of combustibles and different flame emissivities configured. As a specific example, the mapping table of several common types of combustibles and flame emissivities can be referred to Table 3. The above-mentioned target flame emissivity is the flame emissivity (ε) corresponding to the type of combustible found through the mapping table.

[0063] Table 3 - Mapping table of common types of combustibles and flame emissivities;

[0064]

[0065] Based on Table 3, the corresponding flame emissivity is found according to the type of combustible, and this flame emissivity is the target flame emissivity. Based on the target flame emissivity obtained from the table look-up, the Boltzmann constant, the flame temperature, and the ignition distance, the thermal radiation intensity can be determined, and then the rate of change of the thermal radiation intensity and the temperature-distance risk value at each moment are calculated through the thermal radiation intensity.

[0066] In another implementation manner, the above-mentioned thermal radiation intensity can also be directly obtained through a thermal radiation sensor. However, since the cost of thermal radiation sensors is generally high, a preferred method is: obtaining the relevant parameters for determining the thermal radiation intensity through low-cost sensors, and then calculating the thermal radiation intensity using the above-mentioned relevant parameters. Since the above-mentioned relevant parameters can be obtained through relatively common sensors, such as obtaining the ignition distance through lidar, etc., the obtained relevant parameters are relatively accurate and the cost is low.

[0067] As a specific example, the flame temperature can be obtained first, and then the first product of the fourth power of the flame temperature, the target flame emissivity, and the Boltzmann constant, and the second product of the square of the ignition distance and 4π are calculated; then based on the ratio of the first product to the second product, the thermal radiation intensity I is determined. That is, the formula for calculating the thermal radiation intensity is:

[0068]

[0069] wherein, I is the thermal radiation intensity (unit: W / m 2 ); ε is the flame emissivity; σ is the Stefan-Boltzmann constant (5.67×10 -8 m 3 ); T is the flame temperature (K); d is the ignition distance (m).

[0070] It should be noted that the flame temperature is generally the temperature of the flame at the edge of the combustion area. Usually, the temperature at the edge of the combustion area closest to the vehicle, or the highest temperature at the edge of the combustion area, is taken as the flame temperature T for calculating the thermal radiation intensity parameter.

[0071] Based on the determined type of combustible, the spectral shift parameter can also be determined. In one embodiment, the target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times corresponding to the type of combustible can be determined by first looking up the mapping tables of different types of combustibles configured with different characteristic wavelength weights and different wavelength intensities; then, based on the target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times, the spectral shift parameter can be determined.

[0072] As a specific example, the mapping tables of several common types of combustibles with characteristic wavelength weights and wavelength intensities can be referred to Table 4.

[0073] Table 4 - Mapping table of common types of combustibles with characteristic wavelength weights and wavelength intensities;

[0074]

[0075] Based on the determined target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times, the spectral indices at different times can be determined; then, the spectral shift parameter can be calculated through the spectral indices at different times.

[0076] As a specific example, the sum of the products of the target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times can be first determined as the ratio of the sum of the target wavelength intensities at different times, and the spectral index at different times can be determined; then, by looking up the mapping table of different types of combustibles configured with different offset time periods, the target offset time period corresponding to the type of combustible can be determined, and the difference between the spectral index at the current time and the spectral index at the historical time can be determined as the spectral shift parameter; the historical time is the time before the current time at a distance from the target offset time period.

[0077] wherein, the calculation formula of the spectral index S is:

[0078]

[0079] Among them, λi is the weight of the target characteristic wavelength; Ai is the intensity of the corresponding target wavelength.

[0080] The calculation formula of the spectral offset parameter ΔS is:

[0081] ΔS = St - St-ΔT (Formula 4);

[0082] Among them, ΔT is the offset time period. This offset time period is the sampling frequency of the spectral index. Different combustion scenarios correspond to different types of combustibles, and the sampling frequency of the spectral index can also change accordingly to achieve the purpose of more accurately predicting the fire spread trend in the current combustion scenario. As a specific example, the mapping table of several common combustible types and different offset time periods can be referred to Table 5.

[0083] Table 5 - Mapping table of common combustible types and offset time periods;

[0084]

[0085] The mapping relationship between different combustible types and different offset time periods can include: the value range of ΔT corresponding to the general combustion scenario (such as wood combustion) is 1 - 3 seconds (preferably, ΔT = 2 seconds); ΔT corresponding to the fast fire spread scenario (such as oil fire) is 0.5 seconds; ΔT corresponding to the slow smoldering scenario (such as plastic combustion) is 5 seconds. Correspondingly, in the fast fire spread scenario, the spectral offset index needs to be updated frequently, while in the slow smoldering scenario, the spectral offset index can be monitored at a low frequency, so as to achieve the technical effect of both saving computing resources and accurately determining the fire spread trend.

[0086] S130: Based on the smoke diffusion parameter, heat radiation intensity parameter, and spectral offset parameter at each moment, conduct fire risk detection to determine the current fire risk level;

[0087] In one embodiment, the fire risk level includes the fire notification level, fire warning level, and fire ignition level. The result of sorting the above levels according to the risk degree is: fire notification level < fire warning level < fire ignition level.

[0088] The above smoke risk level, heat radiation risk level, and spectral risk level can all correspond to different fire risk levels, that is, based on their respective dimensions, the fire risk level can be determined independently, but the current fire risk level is the highest level among the fire risk levels determined by the above three dimensions.

[0089] In one embodiment, the above S130 includes: determining the current smoke risk level based on the smoke diffusion parameters at each moment and different configured smoke thresholds; determining the current heat radiation risk level based on the heat radiation intensity parameters at each moment and different configured heat radiation thresholds; determining the current spectral risk level based on the spectral shift parameters within a preset time period and different configured spectral thresholds; and determining the highest risk level among the current smoke risk level, the current heat radiation risk level, and the current spectral risk level as the current fire risk level.

[0090] The above smoke diffusion parameters include smoke concentration, smoke concentration change rate, and smoke risk index; the above smoke thresholds include a first smoke threshold for judging smoke concentration, a second smoke threshold for judging the smoke concentration change rate, and a third smoke threshold for judging the smoke risk index.

[0091] In one embodiment, the step of determining the current smoke risk level based on the smoke diffusion parameters at each moment and different configured smoke thresholds may include: if it is detected that the smoke concentration at any moment is not less than the first smoke threshold, determining the current smoke risk level as the fire notification level; if the smoke concentration change rate within a preset time period is not less than the second smoke threshold, determining the current smoke risk level as the fire warning level; if it is detected that the smoke risk index within a preset time period is not less than the third smoke threshold, determining the current smoke risk level as the fire ignition level.

[0092] In another embodiment, the step of determining the current smoke risk level based on the smoke diffusion parameters at each moment and different configured smoke thresholds may include: if it is detected that the smoke concentration at any moment is not less than the first smoke threshold, determining the current smoke risk level as the fire notification level; if it is detected that the smoke concentration at any moment is not less than the first smoke threshold and the smoke concentration change rate within a preset time period is not less than the second smoke threshold, determining the current smoke risk level as the fire warning level; if it is detected that the smoke concentration at any moment is not less than the first smoke threshold and the smoke risk index within a preset time period is not less than the third smoke threshold, determining the current smoke risk level as the fire ignition level.

[0093] As a specific example, the above smoke thresholds include a first smoke threshold (5mg / m 3 ) for judging smoke concentration, a second smoke threshold (0.5mg / m 3 / s) for judging the smoke concentration change rate, and a third smoke threshold (10(mg / m 3 ) 2 / s) for judging the smoke risk index. If it is detected that the smoke concentration C at any moment is not less than the first smoke threshold, i.e., C≥5mg / m 3, then determine that the current smoke risk level is the fire notification level; if the change rate of smoke concentration within a preset time period is not less than the second smoke threshold, that is: then determine that the current smoke risk level is the fire alarm level. Among them, a preferred way of the preset time period is 3 seconds; if it is detected that the smoke risk index R within the preset time period is not less than the third smoke threshold, that is: R≥10 (mg / m 3 ) 2 / s, then determine that the current smoke risk level is the fire ignition level.

[0094] The above heat radiation parameters include heat radiation intensity, heat radiation intensity change rate, and temperature-distance risk value; the above heat radiation thresholds include the first heat radiation threshold and the second heat radiation threshold for judging heat radiation intensity, and also include the third heat radiation threshold and the fourth heat radiation threshold for judging heat radiation intensity change rate, and the fifth heat radiation threshold for judging temperature-distance risk value. Among them, the radiation intensity change rate refers to the relative change rate of heat radiation intensity per unit time, and only the case of increasing heat radiation intensity is considered when setting the threshold and making numerical comparisons. The heat radiation intensity change rate is the heat radiation intensity growth rate.

[0095] In one implementation, the current heat radiation risk level can be determined based on the heat radiation intensity, heat radiation intensity change rate at each moment, and the pre-configured first heat radiation threshold, second heat radiation threshold, third heat radiation threshold, and fourth heat radiation threshold.

[0096] As an example, this step may include: if it is detected that the heat radiation intensity at any moment is less than the first heat radiation threshold and the heat radiation intensity change rate is less than the third heat radiation threshold, then determine that the current heat radiation risk level is the fire notification level; if it is detected that the heat radiation intensity at any moment is not less than the first heat radiation threshold, not greater than the second heat radiation threshold, and the heat radiation intensity change rate is not less than the third heat radiation threshold and not greater than the fourth heat radiation threshold, then determine that the current heat radiation risk level is the fire alarm level; if it is detected that the heat radiation intensity at any moment is greater than the second heat radiation threshold and the heat radiation intensity change rate is greater than the fourth heat radiation threshold, then determine that the current heat radiation risk level is the fire ignition level.

[0097] In another implementation, the current heat radiation risk level can be determined based on the heat radiation intensity, temperature-distance risk value at each moment, and the pre-configured first heat radiation threshold, second heat radiation threshold, and fifth heat radiation threshold. Among them, the temperature-distance risk value is the ratio of the flame temperature T to the ignition distance d, and can be used to characterize the heat injury potential value per unit distance.

[0098] As an example, this step may include: if the thermal radiation intensity at any moment is detected to be less than the first thermal radiation threshold, determining that the current thermal radiation risk level is the fire notification level; if the thermal radiation intensity at any moment is detected to be not less than the first thermal radiation threshold and not greater than the second thermal radiation threshold, determining that the current thermal radiation risk level is the fire warning level; if the thermal radiation intensity at any moment is detected to be greater than the second thermal radiation threshold and the temperature - distance risk value is greater than the fifth thermal radiation threshold, determining that the current thermal radiation risk level is the fire ignition level.

[0099] Alternatively, in another embodiment, the current thermal radiation risk level may be determined based on the change rate of the thermal radiation intensity at each moment and the pre - configured third thermal radiation threshold and fourth thermal radiation threshold.

[0100] As a specific example, this step may include: if the change rate of the thermal radiation intensity within a preset time period is detected to be less than the third thermal radiation threshold, determining that the current thermal radiation risk level is the fire notification level; if the change rate of the thermal radiation intensity within a preset time period is detected to be not less than the third thermal radiation threshold and not greater than the fourth thermal radiation threshold, determining that the current thermal radiation risk level is the fire warning level; if the change rate of the thermal radiation intensity within a preset time period is detected to be not less than the fourth thermal radiation threshold, determining that the current thermal radiation risk level is the fire ignition level.

[0101] Preferably, the first thermal radiation threshold is 500 W / m 2 , the second thermal radiation threshold is 2000 W / m 2 , the third thermal radiation threshold is 0.05 / s, the fourth thermal radiation threshold is 0.2 / s, the fifth thermal radiation threshold is 50 K / m, and the preset time period is 5 seconds.

[0102] The above - mentioned spectral thresholds include a first spectral threshold and a second spectral threshold for judging the spectral offset parameter. In one embodiment, the step of determining the current spectral risk level based on the spectral offset parameter within a preset time period and different configured spectral thresholds may include: if the spectral offset parameter is detected to be less than the first spectral threshold, determining that the current fire risk level is the fire notification level; if the spectral offset parameter is detected to be not less than the first spectral threshold and less than the second spectral threshold, determining that the current spectral risk level is the fire warning level; if the spectral offset parameter is detected to be not less than the second spectral threshold, determining that the current spectral risk level is the fire ignition level.

[0103] A preferred way is that the above - mentioned first spectral threshold is 0.2 and the second spectral threshold is 0.3.

[0104] In addition, the above-mentioned external vehicle environment parameters may further include the area of combustibles around the vehicle; the area of combustibles around the vehicle can be determined based on the pictures of combustibles around the vehicle collected by an in-vehicle vision sensor.

[0105] In another implementation, the method for determining the current fire risk level in S130 above may further include:

[0106] (S31) If the current fire risk level is the fire notification level or the fire warning level, an initial fire analysis algorithm is used to process the flame temperature, ignition distance, fire spread speed, and combustible range to obtain a fire analysis value.

[0107] Among them, the fire spread speed is determined based on the fire intensity and the ignition distance; the combustible range is determined based on the combustion area and the area of combustibles; the flame temperature is generally the temperature at the edge of the combustion area closest to the vehicle. As a specific example, the initial fire analysis algorithm may include a fire analysis discrimination model shown by the following formula:

[0108]

[0109] Among them, Tflame is the flame temperature (the larger the value of the flame temperature, the higher the ignition risk); Dcar is the ignition distance between the vehicle and the combustible (the smaller the value of the ignition distance, the higher the ignition risk); Vspread is the fire spread speed (the larger the value of the fire spread speed, the faster the fire spreads, and the higher the ignition risk); Sfuel is the combustible range (the larger the value of the combustible range, the more fuel there is, the longer the combustion time, and the more persistent the ignition risk); α, β, and γ are all weight values; α represents the coupling effect of the environmental temperature and the distance, and the higher this weight value, the higher the determined danger level of the fire source; β is directly related to the fire spread speed, and the higher this weight value, the stronger the driving force of the spread speed on the decision-making; γ reflects the potential threat of environmental fuel diffusion, and the higher this weight value, the higher the vigilance against the continuous risk caused by the fuel.

[0110] (S32) When it is detected that the fire analysis value is within the fire analysis range, a new fire analysis algorithm is used to process the flame temperature, ignition distance, fire spread speed, and combustible range to obtain a new fire analysis value.

[0111] The above fire analysis range can be pre-configured according to experimental or historical data, and this range can include a first fire analysis threshold and a second fire analysis threshold. If it is detected that the fire analysis value is not greater than the first fire analysis threshold, it is determined that there is no ignition risk, and the vehicle remains in a monitoring state in place; if it is detected that the fire analysis value is greater than the first fire analysis threshold and less than the second fire analysis threshold, a new fire analysis algorithm is used to determine a new fire analysis value. A preferred way is that the first fire analysis threshold is 0.3 and the second fire analysis threshold is 0.7.

[0112] The new fire analysis algorithm is obtained by adjusting the target coefficient of the weight value of the fire spread speed in the initial fire analysis algorithm; this target coefficient is obtained by summing the reciprocal of the predicted fire arrival time and 1 after determining the predicted fire arrival time according to the ignition distance and the fire spread speed.

[0113] As a specific example, the above target coefficient is: where tfire is the predicted fire arrival time, and its calculation method is: Then the fire analysis discrimination model corresponding to the new fire analysis algorithm is:

[0114]

[0115] It should be noted that in order to reduce the risk of the vehicle being ignited and successfully control the vehicle to avoid danger in a timely manner when the fire spread situation is serious, the time required for the vehicle to escape from trouble needs to be considered at this time. That is to say, the value of the above predicted fire arrival time tfire should be less than the time t required for the vehicle to escape from trouble. escape value.

[0116] (S33) Based on the new fire analysis value and the fire analysis range, determine the new current fire risk level. If it is determined that the new fire analysis value is not less than the second fire analysis threshold, it is determined that the current fire risk level is the fire ignition level.

[0117] In addition, the triggering conditions for determining the fire analysis value by the above fire analysis discrimination model and thus determining the current fire risk level can also include: the current fire risk level is the fire notification level, the fire warning level or the fire ignition level, and none of them has triggered the risk avoidance strategy corresponding to the fire ignition level for controlling the vehicle. At this time, it is necessary to discriminate the current fire risk level again to improve the accuracy of fire detection and vehicle anti-ignition risk avoidance control and reduce the risk of the vehicle being ignited.

[0118] S140: Based on the current fire risk level, control the vehicle to execute the corresponding risk avoidance strategy.

[0119] In one embodiment, if the current fire risk level is the fire notification level, a message notification containing that there is a combustible near the vehicle is sent to the vehicle owner's terminal; if the current fire risk level is the fire warning level, a message notification containing that there is a combustible near the vehicle is sent to the vehicle owner's terminal, and the on-vehicle rescue system is controlled to issue a warning indication; if the current fire risk level is the fire ignition level, an evacuation route is determined based on the parking position and the current burning position, and the vehicle's autonomous driving system is controlled to start so that the vehicle drives away from the parking position along the evacuation route.

[0120] Among them, the vehicle owner's terminal can be a mobile device with communication functions, such as a smart phone, a tablet computer, a portable laptop computer or other electronic devices capable of data transmission through a wireless network (such as 4G, 5G, Wi-Fi, etc.) or a wired connection. Such devices usually integrate a variety of sensors and hardware modules, thus supporting information interaction between the vehicle owner and the vehicle, such as remotely monitoring the vehicle status, receiving message notifications, sending navigation instructions, performing lock / unlock operations, adjusting in-vehicle environment settings and other functions. In addition, the vehicle owner's terminal can also be docked with the cloud server and the vehicle networking system through a dedicated application or platform to obtain the message notification sent by the vehicle containing that there is a combustible near the vehicle. As a specific example, the message notification can include any one or more of the message pop-up window of the application, text message or phone call.

[0121] Different fire risk levels correspond to different states and corresponding action decisions. For example: the fire notification level corresponds to the detection state, and the corresponding action decision is to trigger a warning; the fire warning level corresponds to the warning state, and the corresponding action decision is to continue to trigger a warning; the fire ignition level corresponds to the escape state, and the corresponding action decision is to start autonomous driving to escape.

[0122] The above current fire risk level can be determined based on the current smoke risk level, the current heat radiation risk level and the current spectral risk level. For the above three different dimensions of risk levels (smoke risk level, heat radiation risk level and spectral risk level), they can be determined based on the relevant parameters of each dimension and the configured thresholds.

[0123] In one embodiment, if the current smoke risk level, the current heat radiation risk level, or the current spectral risk level is the fire notification level, a message notification including that there is a combustible near the vehicle is sent to the vehicle owner's terminal; if the current smoke risk level, the current heat radiation risk level, or the current spectral risk level is the fire warning level, a message notification including that there is a combustible near the vehicle is sent to the vehicle owner's terminal, and the in-vehicle rescue system is controlled to issue a warning indication (e.g., call the 119 emergency number); if the current smoke risk level, the current heat radiation risk level, or the current spectral risk level is the fire ignition level, an evacuation route is determined based on the parking position and the current combustion position, and the vehicle's autopilot system is controlled to start so that the vehicle drives away from the parking position along the evacuation route.

[0124] As a specific example, if it is detected that the smoke concentration at any moment is not less than the first smoke threshold (C≥5mg / m 3 ), it is determined that the current smoke risk level is the fire notification level, and the corresponding action decision is to trigger a warning, which may specifically include: continuously detecting and sending a message notification including that there is a combustible near the vehicle to the vehicle owner's terminal; if the change rate of the smoke concentration within a preset time period (3 seconds) is not less than the second smoke threshold it is determined that the current smoke risk level is the fire warning level, and the corresponding action decision is to continue triggering a warning, which may specifically include: continuously detecting, sending a message notification including that there is a combustible near the vehicle to the vehicle owner's terminal, and controlling the in-vehicle rescue system to issue a warning indication; if it is detected that the smoke risk index within a preset time period (3 seconds) is not less than the third smoke threshold (R≥10(mg / m 3 )) 2 it is determined that the current smoke risk level is the fire ignition level, and the corresponding action decision is to start the autopilot to escape, which may specifically include: determining an evacuation route based on the parking position and the current combustion position, and controlling the vehicle's autopilot system to start so that the vehicle drives away from the parking position along the evacuation route.

[0125] As a specific example, if it is detected that the heat radiation intensity at any moment is less than the first heat radiation threshold (I<500W / m 2 ), and the change rate of the heat radiation intensity is less than the third heat radiation threshold it is determined that the current heat radiation risk level is the fire notification level, corresponding to the detection status, and the corresponding action decision is to trigger a warning; if it is detected that the heat radiation intensity at any moment is not less than the first heat radiation threshold and not greater than the second heat radiation threshold (500W / m 2 ≤I≤2000W / m 2 ), and the change rate of the heat radiation intensity is not less than the third heat radiation threshold and not greater than the fourth heat radiation threshold Determine that the current heat radiation risk level is the fire alarm level, corresponding to the warning state, and the corresponding action decision is to continue to trigger the warning; if the heat radiation intensity at any moment is detected to be greater than the second heat radiation threshold (I > 2000W / m 2 ), and the change rate of the heat radiation intensity is greater than the fourth heat radiation threshold Determine that the current heat radiation risk level is the fire ignition level, corresponding to the escape state, and the corresponding action decision is to activate the automatic driving to escape.

[0126] In another example, if the heat radiation intensity at any moment is detected to be greater than the second heat radiation threshold (I > 2000W / m 2 ), and the temperature - distance risk value is greater than the fifth heat radiation threshold (RT > 50K / m), determine that the current heat radiation risk level is the fire ignition level, corresponding to the escape state, and the corresponding action decision is to activate the automatic driving to escape. Or, if the change rate of the heat radiation intensity within a preset time period (5 seconds) is not less than the fourth heat radiation threshold Determine that the current heat radiation risk level is the fire ignition level, corresponding to the escape state, and the corresponding action decision is to activate the automatic driving to escape.

[0127] As a specific example, if the spectral shift parameter is detected to be less than the first spectral threshold (ΔS < 0.2), then determine that the current fire risk level is the fire notification level, corresponding to the detection state, and the corresponding action decision is to trigger the warning; if the spectral shift parameter is not less than the first spectral threshold and less than the second spectral threshold (0.2 ≤ ΔS < 0.3), then determine that the current spectral risk level is the fire alarm level, corresponding to the warning state, and the corresponding action decision is to continue to trigger the warning; if the spectral shift parameter is not less than the second spectral threshold (ΔS ≥ 0.3), then determine that the current spectral risk level is the fire ignition level, corresponding to the escape state, and the corresponding action decision is to activate the automatic driving to escape.

[0128] The vehicle anti - ignition control method provided by the above - mentioned embodiments improves the accuracy of fire detection by using the constant - power detection mode to continuously obtain the external environment parameters of the vehicle when the vehicle is stationary and determining the environmental combustion parameters in different dimensions at the corresponding moments; performs fire risk detection based on the environmental combustion parameters at each moment, determines the current fire level, and predicts the external fire risk of the vehicle through multi - dimensional environmental parameters, reducing the cost of fire detection; controls the vehicle to execute the corresponding risk - avoidance strategy based on the current fire level, thereby reducing the risk of passive ignition of the vehicle.

[0129] Based on the same inventive concept, the embodiment of the present invention also provides a vehicle anti - ignition control system, which is applied to a vehicle. See Figure 2As shown, the system may include: a body control module 210 (Body Control Module, BCM), a sensor assembly 220, and a fire analysis controller 230; the body control module 210 is communicatively connected to the sensor assembly 220 and the fire analysis controller 230 respectively.

[0130] Among them, the body control module 210, as one of the core components of the vehicle electronic system, can be mainly used to integrate and control the electrical functions related to the vehicle body, and at the same time coordinate the interaction with other in-vehicle systems. The sensor assembly 220 includes but is not limited to various sensors for monitoring the vehicle's surrounding environment and internal state.

[0131] The fire analysis controller 230 can be integrated within the BCM or exist as an independent controller. For example, the fire analysis controller 230 can be the vehicle's Central Computing Unit (CCU) or a domain controller (such as: an autonomous driving domain controller or a body domain controller, etc.), and this solution is not limited herein.

[0132] In this embodiment, the body control module 210 is communicatively connected to the sensor assembly 220 to control the working state of the sensor assembly 220. The body control module 210 is communicatively connected to the fire analysis controller 230. Among them, the above-mentioned communication connection can be achieved through a dedicated line or a vehicle network (such as CAN or LIN bus).

[0133] The body control module 210 is configured to, when the vehicle is in the constant power detection mode, control the sensor assembly 220 to collect the external vehicle environment parameters at each moment at the parking position, and send the received external vehicle environment parameters at each moment to the fire analysis controller 230.

[0134] The fire analysis controller 230 is configured to receive the external vehicle environment parameters at each moment, and based on the external vehicle environment parameters at each moment, determine the environmental combustion parameters at the corresponding moment; the environmental combustion parameters include smoke diffusion parameters, heat radiation intensity parameters, and spectral shift parameters; and, based on the smoke diffusion parameters, heat radiation intensity parameters, and spectral shift parameters at each moment, perform a fire risk detection to determine the current fire risk level; and, based on the current fire risk level, control the vehicle to execute the corresponding risk avoidance strategy. Further, refer to Figure 3As shown, the vehicle anti-ignition control system may further include a telematics control unit 240 (Telematics BOX, T-BOX), an owner terminal 250, an in-vehicle rescue system 260, an ignition system 270, and an autonomous driving system 280 that are communicatively connected to the fire situation analysis controller 230; wherein, the telematics control unit 240 is mainly used to implement information interaction with an external network (such as a cloud server, a mobile device, and an emergency platform of a public rescue center, etc.), as well as to implement information interaction with the vehicle's ignition system 270 and autonomous driving system 280.

[0135] When the fire situation analysis controller 230 detects that the current fire risk level is the fire notification level, it sends a message notification including that there are combustibles near the vehicle to the owner terminal 250 through the telematics control unit 240;

[0136] When the fire situation analysis controller 230 detects that the current fire risk level is the fire warning level, it sends a message notification including that there are combustibles near the vehicle to the owner terminal 250 through the telematics control unit 240, and controls the in-vehicle rescue system 260 to issue a warning indication; that is, it sends an alarm signal to a professional rescue agency through the in-vehicle rescue system 260, and the alarm signal may include information such as the time, location of the fire, and vehicle condition.

[0137] When the fire situation analysis controller 230 detects that the current fire risk level is the fire ignition level, it determines an evacuation route based on the parking position and the current burning position, and then sends a start command to the ignition system 270 through the telematics control unit 240, and the ignition system 270 performs the operation of powering on the entire vehicle; and, it sends a start command and an evacuation route to the autonomous driving system 280 through the telematics control unit 240, and the autonomous driving system 280 starts after receiving the start command and controls the vehicle to drive away from the parking position according to the evacuation route.

[0138] Among them, the above-mentioned operation of powering on the entire vehicle may include: activating the battery management system, starting the engine or waking up the motor controller, and safety checks, etc. During the vehicle driving process, the fire situation analysis controller 230 or the autonomous driving system 280 may continuously monitor the changes in the surrounding environment (such as new obstacles or emergencies) and update the evacuation route in real time.

[0139] In one embodiment, the fire situation analysis controller 230 may calculate the environmental combustion parameters (smoke diffusion parameter, heat radiation intensity parameter, and spectral shift parameter) corresponding to different dimensions respectively according to the received outdoor environmental parameters of the vehicle at each moment; then, based on the smoke diffusion parameter, heat radiation intensity parameter, and spectral shift parameter at each moment, the fire situation analysis controller 230 performs fire risk detection, determines the current smoke risk level, heat radiation risk level, and spectral risk level, and determines the highest risk level among them as the current fire risk level.

[0140] If it is determined that the fire poses no threat to the vehicle itself, such as a short-term, minor, or distant fire, the vehicle is controlled to notify the owner (the current fire risk level is the fire notification level); if it is determined that although the fire poses no threat for the time being, but through smoke, heat, and visual analysis, its fire development speed is relatively fast, continuous, and unpredictable, such as there are flammable substances or hidden fire points around the ignition point, etc., the vehicle is controlled to notify the owner, call the police, and continuously monitor the fire risk level (the current fire risk level is the fire warning level); if it is further determined during the continuous monitoring process that the fire poses a threat to the vehicle itself and there is a risk of igniting the vehicle itself, the vehicle is controlled to drive away from the current parking position and go to a safe area (the current fire risk level is the fire ignition level).

[0141] In another embodiment, if the current fire risk level is the fire notification level or the fire warning level, the fire situation analysis controller 230 may adopt the initial fire situation analysis algorithm to process the flame temperature, ignition distance, fire spread speed, and combustible range to obtain a fire situation analysis value; when it is detected that the fire situation analysis value is within the fire situation analysis range, the new fire situation analysis algorithm is used to process the flame temperature, ignition distance, fire spread speed, and combustible range to obtain a new fire situation analysis value; based on the new fire situation analysis value and the fire situation analysis range, the new current fire risk level is determined.

[0142] As a specific example, if during the process of performing fire risk detection based on the smoke diffusion parameter, heat radiation intensity parameter, and spectral shift parameter at each moment to determine the current fire risk level, the detection results of any single dimension do not trigger the vehicle to drive away, the fire situation analysis controller 230 may comprehensively analyze by combining the relevant data of the above three dimensions as a supplement. When the fire spreads to an unstoppable state and poses a risk of igniting the vehicle itself, the vehicle is controlled to wake up the ignition system 270 to power on the whole vehicle, and the vehicle is driven away from the current parking position and goes to a safe area by starting the autonomous driving system 280.

[0143] As a specific example, see Figure 3As shown, the sensor assembly 220 may include: in-vehicle radar 221, vision sensor 222, infrared detection sensor 223, environmental perception sensor 34, etc.; among them, the in-vehicle radar 221 may be any one or more of lidar, ultrasonic radar, or millimeter-wave radar, and its function is to obtain the ignition distance between the vehicle and the combustible.

[0144] The vision sensor 32 can be used to obtain the flame images of the combustible at each moment, as well as the environmental images around the vehicle; the flame images at each moment can be used to determine the flame spectral characteristics at each moment, and based on the configured mapping table of different combustible types and different flame spectral characteristics, the combustible type corresponding to the flame spectral characteristics at each moment can be further determined.

[0145] The infrared detection sensor 33 can be used to obtain the thermal imaging map of the combustible at each moment; the thermal imaging map can be used to determine the combustion area at each moment and the combustion area of the combustible. Among them, the combustion area can be used to determine the fire intensity and the range of combustibles; the combustion area of the combustible can be used to determine the flame temperature, which is the temperature at the edge of the combustion area. As a specific example, the infrared detection sensor 33 can also include a thermal imaging sensor or an infrared thermometer, and using the thermal imaging sensor or the infrared thermometer can directly obtain the flame temperature at the edge of the combustion area.

[0146] The environmental perception sensor 34 can be used to obtain the current environmental condition parameters of the vehicle at the parking position, and the current environmental condition parameters can be used to determine the environmental diffusion coefficient corresponding to the parking position. Preferably, the current environmental condition parameters may include: wind speed, humidity, temperature, gas composition, etc., and the corresponding environmental perception sensor 34 may include: wind speed sensor, humidity sensor, temperature sensor, gas composition analyzer, etc.

[0147] The vehicle anti-ignition control system provided by the above embodiment controls the sensor assembly to collect the external environment parameters of the vehicle in real time through the body control module when the vehicle is in the constant power detection mode, reducing the cost of fire detection; the fire analysis controller receives the external environment parameters and performs fire risk detection based on the environmental combustion parameters at each moment to determine the current fire level, that is, predicting the external fire risk of the vehicle using multi-dimensional environmental parameters, improving the accuracy of fire detection; the fire analysis controller also controls the vehicle to execute corresponding hazard avoidance strategies based on the current fire level, thereby reducing the risk of passive ignition of the vehicle.

[0148] Based on the same inventive concept, an embodiment of the present invention also provides a vehicle, which includes the vehicle anti-ignition control system described in the above embodiment.

[0149] Based on the same inventive concept, an embodiment of the present invention also provides a vehicle anti-ignition control device, see Figure 4As shown in the figure, the device includes: an acquisition module 410, configured to acquire the external environment parameters of the vehicle at each moment at the parking position when the vehicle is in the constant power detection mode; a combustion parameter determination module 420, configured to determine the environmental combustion parameters at the corresponding moment based on the external environment parameters at each moment; the environmental combustion parameters include a smoke diffusion parameter, a heat radiation intensity parameter, and a spectral shift parameter; a fire risk level determination module 430, configured to perform fire risk detection based on the smoke diffusion parameter, the heat radiation intensity parameter, and the spectral shift parameter at each moment, and determine the current fire risk level; and a control module 440, configured to control the vehicle to execute a corresponding risk avoidance strategy based on the current fire risk level.

[0150] The vehicle anti-ignition control device provided by the embodiments of the present invention may be specific hardware on the device, or software or firmware installed on the device, etc. For the device provided by the embodiments of the present invention, the implementation principle and the technical effects produced are the same as those of the foregoing method embodiments. For the sake of brief description, for the parts not mentioned in the device embodiments, reference may be made to the corresponding content in the foregoing method embodiments. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the foregoing-described systems, devices, and units can all refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again. The vehicle anti-ignition control device provided by the embodiments of the present invention has the same technical features as the vehicle anti-ignition control method provided by the foregoing embodiments, so it can also solve the same technical problems and achieve the same technical effects.

[0151] In the embodiments provided by the present invention, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other can be through some communication interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0152] In addition, the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0153] Furthermore, in each embodiment of the present invention, the functional modules can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0154] It should be noted that when a function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this 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 for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0155] In this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0156] The above are only embodiments of the present invention and are not used to limit the protection scope of the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A vehicle anti-ignition control method, characterized in that: include: When the vehicle is in the normal power detection mode, the vehicle external environment parameters at each moment at the parking position are obtained; Based on the vehicle external environment parameters at each time, determining the environmental combustion parameters at the corresponding time; the environmental combustion parameters include smoke diffusion parameters, thermal radiation intensity parameters and spectrum shift parameters; Perform fire risk detection based on the smoke diffusion parameter, the thermal radiation intensity parameter and the spectrum shift parameter at each moment to determine the current fire risk level; Based on the current fire risk level, the vehicle is controlled to execute a corresponding risk avoidance strategy.

2. The method according to claim 1, characterized in that The external environmental parameters include: the ignition distance between the vehicle and the combustible material, the environmental diffusion coefficient corresponding to the parking position, and the flame image and thermal imaging image at each moment obtained by the vehicle-mounted sensor; the ignition distance represents the distance value between the center position of the combustion area of ​​the combustible material at each moment and the parking position, and the combustion area of ​​the combustible material at each moment is determined based on the thermal imaging image at each moment; the environmental diffusion coefficient is determined based on the environmental conditions of the parking position at each moment.

3. The method according to claim 2, characterized in that According to the vehicle external environment parameters at each time, determining the environmental combustion parameters at the corresponding time, including: For any moment, respectively analyzing the flame image and the thermal image at the moment to obtain the flame spectrum characteristics and the combustion area at the moment; Determine the type of combustion object corresponding to the flame spectrum feature at the moment based on a configured mapping table of different combustion object types and different flame spectrum features; Determining smoke diffusion parameters based on the type of combustion material, the combustion area, the environmental diffusion coefficient and the ignition distance; Based on the configured mapping table of different combustion material types and different flame emissivity, the target flame emissivity corresponding to the combustion material type is determined, and based on the target flame emissivity, the Boltzmann constant, the flame temperature and the ignition distance, the thermal radiation intensity parameter is determined; the flame temperature is the temperature of the edge of the combustion area; Based on the configured mapping table of different combustion material types with different characteristic wavelength weights and different wavelength intensities, the target characteristic wavelength weights at different moments corresponding to the combustion material types and the target wavelength intensities at the corresponding moments are determined, and the spectral shift parameters are determined based on the target characteristic wavelength weights at different moments and the target wavelength intensities at the corresponding moments.

4. The method according to claim 3, characterized in that Determining smoke diffusion parameters based on the type of combustion material, the combustion area, the environmental diffusion coefficient and the ignition distance includes: Determining the fire intensity according to the type of burning material and the burning area; The smoke diffusion parameter is determined based on the fire intensity, the ignition distance and the environmental diffusion coefficient.

5. The method according to claim 3, characterized in that: Based on the target flame emissivity, the Boltzmann constant, the flame temperature and the ignition distance, a thermal radiation intensity parameter is determined, including: Obtaining the fourth power of the flame temperature, the first product of the target flame emissivity and the Boltzmann constant, and the second product of the second power of the ignition distance and 4π; The thermal radiation intensity parameter is determined based on the ratio of the first product to the second product.

6. The method according to claim 3, characterized in that Determining a spectrum shift parameter based on the target characteristic wavelength weights at different times and the target wavelength intensities at corresponding times includes: Determine the ratio of the cumulative sum of the products of the target characteristic wavelength weights at different moments and the target wavelength intensities at corresponding moments to the cumulative sum of the target wavelength intensities at different moments as the spectral index at different moments; Look up a mapping table of different configured combustion material types and different offset time periods, determine the target offset time period corresponding to the combustion material type, and determine the difference between the spectral index at the current moment and the spectral index at the historical moment as the spectral offset parameter; the historical moment is the moment before the current moment and the target offset time period.

7. The method according to claim 1, characterized in that Performing fire risk detection based on the smoke diffusion parameter, the thermal radiation intensity parameter, and the spectrum shift parameter at each moment to determine a current fire risk level includes: Determining a current smoke risk level based on the smoke diffusion parameters at each moment and different configured smoke thresholds; Determining a current thermal radiation risk level based on the thermal radiation intensity parameters at each moment and different configured thermal radiation thresholds; Determining a current spectral risk level based on the spectral shift parameters and configured different spectral thresholds within a preset time period; The highest risk level among the current smoke risk level, the current thermal radiation risk level and the current spectrum risk level is determined as the current fire risk level.

8. The method according to claim 4, characterized in that The current fire risk level includes fire notification level, fire warning level and fire ignition level; Based on the current fire risk level, controlling the vehicle to execute a corresponding risk avoidance strategy includes: If the current fire risk level is a fire notification level, sending a message notification including a message indicating that there are burning objects near the vehicle to the vehicle owner terminal; If the current fire risk level is a fire warning level, a message notification including a burning object near the vehicle is sent to the vehicle owner terminal, and the on-board rescue system is controlled to issue a warning indication; If the current fire risk level is a fire ignition level, an avoidance route is determined based on the parking position and the current burning position; the automatic driving system of the vehicle is controlled to start so that the vehicle leaves the parking position along the avoidance route.

9. The method according to claim 8, characterized in that The vehicle external environment parameter also includes a combustible area around the vehicle, and the method further includes: If the current fire risk level is a fire notification level or a fire alarm level, an initial fire analysis algorithm is used to process the flame temperature, the ignition distance, the fire spread speed and the combustible range to obtain a fire analysis value; the fire spread speed is determined according to the fire intensity and the ignition distance; the combustible range is determined according to the burning area and the combustible area; When it is detected that the fire intensity analysis value is within the fire intensity analysis range, a new fire intensity analysis algorithm is used to process the flame temperature, the ignition distance, the fire spread speed and the combustible range to obtain a new fire intensity analysis value; the new fire intensity analysis algorithm is obtained by adjusting the target coefficient of the weight value of the fire spread speed in the initial fire intensity analysis algorithm; A new current fire risk level is determined based on the new fire analysis value and the fire analysis range.

10. The method according to claim 9, characterized in that The target coefficient is obtained by summing the reciprocal of the fire prediction arrival time and 1 after the fire prediction arrival time is determined according to the ignition distance and the fire spread speed.

11. A vehicle anti-ignition control device, characterized in that: include: An acquisition module, used to acquire the vehicle's external environment parameters at each moment at the parking position when the vehicle is in a normal power detection mode; A combustion parameter determination module, used to determine the environmental combustion parameters at the corresponding moment based on the external environmental parameters of the vehicle at each moment; the environmental combustion parameters include smoke diffusion parameters, thermal radiation intensity parameters and spectral shift parameters; A fire risk level determination module, configured to perform fire risk detection based on the smoke diffusion parameter, the thermal radiation intensity parameter and the spectrum shift parameter at each moment, and determine a current fire risk level; A control module is used to control the vehicle to execute a corresponding risk avoidance strategy based on the current fire risk level.

12. A vehicle anti-ignition control system, characterized in that: include: body control modules, sensor assemblies and fire analysis controllers; The vehicle body control module is communicatively connected with the sensor assembly and the fire analysis controller respectively; The body control module is used to control the sensor assembly to collect vehicle external environment parameters at each moment when the vehicle is in the normal power detection mode, and send the received vehicle external environment parameters at each moment to the fire analysis controller; The fire analysis controller is used to execute the vehicle anti-ignition control method according to any one of claims 1-10.

13. A vehicle, characterized in that: The vehicle comprises the vehicle anti-ignition control system as claimed in claim 12 above.

14. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the method according to any one of claims 1 to 10.

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