Vehicle safety control method and device, medium, equipment and product
By collecting vehicle environmental information and analyzing it using intelligent decision-making models, autonomously judging and triggering safety mechanisms, the problem of the existing intelligent driving assistance system being unable to respond autonomously is solved, thereby improving vehicle safety and autonomous intervention capabilities.
Patent Information
- Application Number
- CN202511192834.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-25
- Publication Date
- 2025-10-17
Smart Images
Figure CN120792846A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of vehicle safety, in particular to a vehicle safety control method, device, medium, equipment and product. BACKGROUND
[0002] Intelligent auxiliary driving refers to providing auxiliary support in the process of driving a vehicle by a driver, so that the driver can drive the vehicle more easily and safely on the road. Intelligent auxiliary driving provides various auxiliary functions through sensor and computer analysis on the vehicle, so that driving is safer and more comfortable.
[0003] At present, the safety protection function of intelligent cabin and intelligent driving assistance system mainly depends on the active triggering of the driver. When the vehicle is stationary, it is unable to automatically start the vehicle safety protection function according to the external environment or the vehicle risk in the case of sudden external risks or vehicle hidden dangers. That is to say, the current intelligent driving assistance system lacks autonomous judgment and intervention ability, and cannot guarantee the safety of the vehicle.
[0004] Therefore, how to provide a more intelligent vehicle safety control method has become a technical problem to be solved. SUMMARY
[0005] The purpose of some embodiments of the present application is to provide a vehicle safety control method, device, medium, equipment and product. Through the technical scheme of the embodiments of the present application, the vehicle safety protection function can be started in time and autonomously based on vehicle environment information, so as to guarantee the safety of the vehicle in the environment with safety hidden dangers.
[0006] In a first aspect, some embodiments of the present application provide a vehicle safety control method, comprising: acquiring vehicle environment information through a collection device; wherein the vehicle environment information includes external danger source information and / or vehicle left-over; the type of vehicle left-over includes flammable and explosive articles, children or pets; analyzing the vehicle environment information by using an intelligent decision model to obtain a decision result; wherein the decision result includes a result of whether to trigger an emergency warning; in the case of triggering the emergency warning, the decision result further includes danger source information; in the case of triggering the emergency warning, triggering a safety mechanism corresponding to the danger source information based on the level of the danger source information; wherein the safety mechanism includes generating alarm information and pushing it to a user, intelligently assisting in controlling the vehicle to move to a safe area, or starting the corresponding vehicle function of the vehicle.
[0007] Some embodiments of the present application analyze the out-of-vehicle dangerous source information and / or the in-vehicle left-over by an intelligent decision model to obtain a decision result; in the case of triggering an emergency warning, the corresponding safety mechanism can be triggered based on the dangerous source information to ensure that the vehicle is in a safe state and eliminate hidden dangers. The embodiments of the present application trigger the vehicle safety protection function through the autonomous judgment of the system, thereby improving the autonomous intervention capability.
[0008] In some embodiments, the vehicle environment information is acquired by the acquisition device, including: acquiring the out-of-vehicle dangerous source information by an out-of-vehicle acquisition device; the out-of-vehicle dangerous source information includes: dangerous source characteristics and dangerous source distance of the out-of-vehicle dangerous source; wherein the out-of-vehicle dangerous source includes an explosion source or a fire source; and / or acquiring the in-vehicle temperature gradient change information and the in-vehicle left-over by an in-vehicle acquisition device.
[0009] Some embodiments of the present application collect the dangerous source related information outside the vehicle and the specific situation inside the vehicle by the out-of-vehicle acquisition device and the in-vehicle acquisition device, provide accurate data for the intelligent decision model, and realize effective detection of hidden dangers.
[0010] In some embodiments, the vehicle environment information is analyzed by the intelligent decision model to obtain a decision result, including: calculating the confidence between the vehicle environment information and the pre-stored feature information by the intelligent decision model; the pre-stored feature information represents the feature type triggering the emergency warning; confirming that the confidence exceeds the confidence threshold, then generating the result triggering the emergency warning and the dangerous source information.
[0011] Some embodiments of the present application calculate the confidence between the vehicle environment information and the pre-stored feature information by the intelligent decision model to determine whether to trigger the emergency warning, which can realize autonomous judgment of whether there is a safety hazard and ensure the safety of the vehicle.
[0012] In some embodiments, the level of the dangerous source information includes: a first level and a second level; the first level includes at least one of: there is an out-of-vehicle dangerous source and the dangerous source distance is not less than a distance threshold, the in-vehicle temperature is not higher than a temperature threshold, there is no in-vehicle left-over, there is in-vehicle left-over and the in-vehicle left-over is in a normal state; the second level includes at least one of: there is an out-of-vehicle dangerous source and the dangerous source distance is less than a distance threshold, the in-vehicle temperature is higher than a temperature threshold, there is in-vehicle left-over and the in-vehicle left-over is in an abnormal state.
[0013] Some embodiments of the present application analyze the out-of-vehicle dangerous source information and the in-vehicle left-over situation, divide different levels of the dangerous source information, so as to trigger different safety mechanisms and realize the automatic opening of the vehicle safety protection function.
[0014] In some embodiments, triggering the safety mechanism corresponding to the dangerous source information based on the level of the dangerous source information comprises: if the dangerous source information is at the first level, generating the warning information; wherein the warning information represents that the vehicle is in an abnormal environment state; if the user is in the vehicle, displaying or broadcasting the warning information; and if the user is not in the vehicle, pushing the warning information to a cloud application of the user.
[0015] Some embodiments of the present application trigger the corresponding safety mechanism after confirming that the dangerous source information is at the first level, to automatically start the vehicle safety protection function, thereby improving the safety of the vehicle.
[0016] In some embodiments, triggering the safety mechanism corresponding to the dangerous source information based on the level of the dangerous source information comprises: if the dangerous source information is at the second level, generating a vehicle control instruction; if the user is in the vehicle, displaying or broadcasting the vehicle control instruction and executing the vehicle control instruction to control the vehicle to move to the safe area and start the vehicle function; if the user is not in the vehicle, pushing the vehicle control instruction to the cloud application of the user; and after receiving a confirmation instruction sent by the cloud application, executing the vehicle control instruction to control the vehicle to move to the safe area and start the vehicle function; wherein the vehicle function comprises starting a double-flash warning and / or starting a ventilation system.
[0017] Some embodiments of the present application trigger the corresponding safety mechanism after confirming that the dangerous source information is at the second level, to automatically start the vehicle safety protection function, thereby improving the safety of the vehicle.
[0018] In a second aspect, some embodiments of the present application provide a vehicle safety control device, comprising: a collection module configured to acquire vehicle environment information through a collection device; wherein the vehicle environment information comprises dangerous source information outside the vehicle and / or left-over in the vehicle; the type of the left-over in the vehicle comprises flammable and explosive articles, children or pets; a decision module configured to analyze the vehicle environment information by using an intelligent decision model to obtain a decision result; wherein the decision result comprises a result of whether to trigger an emergency warning, and in the case that the decision result is to trigger the emergency warning, the decision result further comprises dangerous source information; and a safety control module configured to, in the case that the decision result is to trigger the emergency warning, trigger a safety mechanism corresponding to the dangerous source information based on the level of the dangerous source information; wherein the safety mechanism comprises generating warning information and pushing the warning information to a user, intelligently assisting in controlling the vehicle to move to a safe area, or starting a corresponding vehicle function of the vehicle.
[0019] In a third aspect, some embodiments of the present application provide a computer readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, enables the method of any of the embodiments of the first aspect.
[0020] In a fourth aspect, some embodiments of the present application provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor, when executing the program, enables the method of any of the embodiments of the first aspect.
[0021] In a fifth aspect, some embodiments of the present application provide a computer program product, comprising a computer program, wherein the computer program, when executed by a processor, enables the method of any of the embodiments of the first aspect. BRIEF DESCRIPTION OF DRAWINGS
[0022] In order to more clearly illustrate the technical solutions of some embodiments of the present application, the following will briefly introduce the drawings needed to be used in some embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be considered as a limitation to the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor.
[0023] Figure 1 One of the method flow charts of vehicle safety control provided by some embodiments of the present application; Figure 2 The second method flow chart of vehicle safety control provided by some embodiments of the present application; Figure 3 The device composition block diagram of vehicle safety control provided by some embodiments of the present application; Figure 4 The schematic diagram of an electronic device provided by some embodiments of the present application. DETAILED DESCRIPTION
[0024] The technical solutions of some embodiments of the present application will be described below in combination with the drawings in some embodiments of the present application.
[0025] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used for distinguishing description, and cannot be understood as indicating or implying relative importance.
[0026] In the related art, when a sudden situation occurs, the intelligent cabin and the intelligent driving assistance system need to rely on the driver to trigger, and the dependence on the driver is high. The intelligent driving assistance system cannot automatically start the vehicle safety protection function according to the external environment or the risk in the vehicle, resulting in a delay in response. For example, when the vehicle is stationary, in the case of a sudden external danger (such as explosion, fire) or the presence of an internal hidden danger (such as a child or pet left in the vehicle), the intelligent driving assistance system lacks the ability to make autonomous judgments and interventions, and there is a safety risk.
[0027] From the above related technology, it can be seen that the intelligent driving assistance system of the vehicle in the prior art cannot automatically start the vehicle safety protection function when there is a safety risk.
[0028] Therefore, some embodiments of the present application provide a vehicle safety control method. The method can use a pre-trained intelligent decision model to analyze vehicle environment information and obtain a decision result. In the case of triggering an emergency warning, the corresponding safety mechanism can be triggered based on the hazard source information to ensure that the intelligent driving assistance system can respond in a timely manner and start the vehicle safety protection function, thereby reducing the dependence on the driver.
[0029] The following will be described in conjunction with the accompanying drawings Figure 1 The implementation process of the vehicle safety control provided by some embodiments of the present application will be described exemplarily. It should be noted that the implementation process of the vehicle safety control can be executed by the intelligent driving assistance system deployed in the vehicle.
[0030] Please refer to the accompanying drawings Figure 1 , Figure 1 A flowchart of a vehicle safety control method provided by some embodiments of the present application can include the following steps. S110, acquiring vehicle environment information through a collection device; wherein the vehicle environment information includes external hazard source information and / or an internal left object; and the type of the internal left object includes flammable and explosive articles, children or pets.
[0031] For example, in some embodiments of the present application, the collection device on the vehicle can collect the vehicle environment information inside and outside the vehicle in the current situation of the vehicle at a regular time or in real time, so as to provide the latest information for subsequent vehicle safety prediction. The collection device can include an external collection device and an internal collection device. Specifically, the external hazard source information can include related information of dangerous situations such as explosion and fire (i.e. external hazard source). The internal left object mainly contains objects that may have a safety risk when left alone in the vehicle for a long time, such as children, pets, flammable and explosive articles (such as power banks, lighters, carbonated beverages), etc. Specifically, the types covered by the external hazard source information and the internal left object can be flexibly adjusted, and the embodiments of the present application are not limited thereto.
[0032] In some embodiments of the present application, S110 can include: acquiring the off-vehicle dangerous source information by an off-vehicle acquisition device; the off-vehicle dangerous source information includes dangerous source features and dangerous source distance of the off-vehicle dangerous source; the off-vehicle dangerous source includes an explosion source or a fire source; and / or acquiring the in-vehicle temperature gradient change information and the in-vehicle left-over by an in-vehicle acquisition device.
[0033] For example, in specific embodiments of the present application, when the vehicle is at rest, there is a fire area outside the vehicle (i.e., the off-vehicle dangerous source is a fire source), at this time, the off-vehicle camera (as a specific example of the off-vehicle acquisition device) can capture the fire source features (as a specific example of the dangerous source features), such as: the color of the flame (such as yellow or red), the irregular flashing frequency of the off-vehicle fire source (such as 1-10 Hz), and the fire source distance between the fire source and the vehicle (as a specific example of the dangerous source distance), etc. The in-vehicle environmental monitoring can use the OMS in-vehicle camera and sensor (as a specific example of the in-vehicle acquisition device) to acquire the in-vehicle temperature gradient change information and the in-vehicle left-over. In addition, the in-vehicle acquisition device can also use the millimeter wave radar to detect the size, action, voiceprint and other features of the in-vehicle left-over to determine the type of the in-vehicle left-over. When the off-vehicle camera fails (such as being blocked), it can be automatically switched to a millimeter wave radar dominant mode, and marked as a "degraded state", so as to realize the information acquisition of the off-vehicle situation.
[0034] S120, analyzing the vehicle environment information by using an intelligent decision model to obtain a decision result; wherein the decision result includes a result of whether to trigger an emergency warning; in the case that the decision result is to trigger the emergency warning, the decision result further includes dangerous source information.
[0035] For example, in order to realize comprehensive monitoring of the safety of the vehicle, in specific embodiments of the present application, after the vehicle environment information is obtained by monitoring the in-vehicle and off-vehicle environmental information, the pre-trained intelligent decision model is used for decision analysis, and the corresponding decision result is output. The dangerous source information can include dangerous situations such as explosion, fire, vehicle accident, etc. The dangerous source information can also be an object that may have a safety hazard if left alone in the vehicle for a long time, such as children, pets, flammable and explosive materials (such as power banks, lighters), etc.
[0036] In addition, the intelligent decision model used in the embodiments of the present application is obtained by training using a training data set constructed from historical vehicle environment information and whether there is an emergency warning; the intelligent decision model can also be updated according to the changes of the vehicle environment information in the future; wherein the type of the intelligent decision model can be various AI models that can realize this function through training, which is not specifically limited in the embodiments of the present application.
[0037] In some embodiments of the present application, S120 can include: calculating, by using the intelligent decision model, a confidence between the vehicle environment information and pre-stored feature information; the pre-stored feature information characterizing a feature type triggering the emergency warning; confirming that the confidence exceeds a confidence threshold, generating a result triggering the emergency warning and the dangerous source information.
[0038] For example, in specific embodiments of the present application, a dangerous source threat quantification algorithm can be deployed in the intelligent decision model. For example, the dangerous source threat quantification algorithm is a fire source danger quantification algorithm: Threat_Score = a • Flame_HeightDistance + b • Temp_Gradient + g • Diffusion_Rate, the coefficients a / b / g can be dynamically adjusted through reinforcement learning (such as doubling the weight of oil fire b). Taking the above fire source as an example, the flame color captured, the irregular fire source flicker frequency outside the vehicle can predict the fire source diffusion texture of the environment where the vehicle is located, and the intelligent decision model compares the fire source diffusion texture with the pre-stored fire source texture and diffusion mode (as a specific example of pre-stored feature information) inside the intelligent decision model for consistency, to obtain the confidence outside the vehicle. Through the reflective properties of flammable materials and the breathing, movement, body shape, and other characteristics of children and pets, the intelligent decision model compares the in-vehicle leftovers with the pre-stored entity object features (as a specific example of pre-stored feature information) inside the intelligent decision model for consistency, to obtain the in-vehicle confidence; for flammable materials, the ignition point of flammable materials and the in-vehicle temperature gradient change information can also be used to confirm whether it is close to the ignition point. It can be understood that the pre-stored feature information can be some feature types related to the dangerous source information; such as fire source related fire source texture, diffusion mode and other feature types, child related child face features, breathing frequency and other feature types, appearance features, shape features and other entity object feature types of flammable materials.
[0039] When any of the confidence outside the vehicle and the confidence inside the vehicle is greater than a confidence threshold (such as 90%), the emergency warning is automatically triggered, and the dangerous source information is given; for example, the dangerous source information can be one or more of the following information: fire source, fire source distance, how long the fire source takes to diffuse to threaten the vehicle, and the state of in-vehicle leftovers, such as flammable materials approaching the ignition point, abnormal heartbeat and breathing of children, children crying, etc. It can be understood that in the above given multiple possible situations of in-vehicle and out-of-vehicle safety hazards, as long as the confidence requirement is met, the emergency warning needs to be performed. The confidence threshold can be flexibly adjusted, and the embodiments of the present application are not specifically limited herein.
[0040] Specifically, the internal confidence evaluation logic of the intelligent decision model contains multiple levels: Layer 1: Real-time monitoring layer - sensor raw data consistency check (such as the physical correlation between the fire flicker frequency and the temperature gradient change in the vehicle to analyze the temperature situation in the vehicle); Layer 2: Functional decision layer - inject fault simulation test (randomly discard 50% of sensor input to verify the rationality of the degradation mode to ensure the accuracy of the trained AI model); Layer 3: Execution assurance layer - all autonomous driving risk avoidance actions need to pass "safety sandbox supervision" to verify the feasibility of the trajectory (i.e. vehicle driving path) (to avoid driving the vehicle into a more dangerous area).
[0041] S130, in the case of triggering the emergency warning, based on the level of the danger source information, triggering the safety mechanism corresponding to the danger source information; wherein the safety mechanism includes: generating alarm information and pushing to the user, intelligently assisting to control the vehicle to move to a safe area or to start the vehicle corresponding vehicle function.
[0042] For example, in the specific examples of the present application, different safety mechanisms can be triggered by triggering the danger source information of the emergency warning. Specifically, alarm information can be generated and pushed to a mobile device, a vehicle display module or a cloud server to inform the user. Alternatively, the vehicle can be moved to a safe area, or the ventilation or double flash warning function can be started.
[0043] Wherein, the level of the danger source information includes: first level and second level; the first level includes: at least one of the following: there is a danger source outside the vehicle and the distance between the danger source and the vehicle is not less than a distance threshold, the temperature inside the vehicle is not higher than a temperature threshold, there is no left-over in the vehicle, there is a left-over in the vehicle and the left-over is in a normal state; the second level includes at least one of the following: there is a danger source outside the vehicle and the distance between the danger source and the vehicle is less than a distance threshold, the temperature inside the vehicle is higher than a temperature threshold, there is a left-over in the vehicle and the left-over is in an abnormal state.
[0044] For example, in the specific embodiments of the present application, when the fire source is far away from the vehicle, the temperature in the vehicle is lower than the temperature threshold, or there is no left-over in the vehicle or the left-over in the vehicle is in a normal state, it can be considered that the vehicle has a lower level of safety hazard and there is no safety threat to the vehicle itself and the left-over in the vehicle. When the fire source is close to the vehicle, the temperature in the vehicle is not lower than the temperature threshold, or there is a left-over in the vehicle and the left-over in the vehicle is in an abnormal state, it can be considered that the vehicle has a higher level of safety hazard and there is a safety threat to the vehicle itself and the left-over in the vehicle. The distance threshold and the temperature threshold can be flexibly set according to the actual application scenario. The normal state of the left-over in the vehicle can include that the flammable material is not close to the ignition point (for example, the detected temperature in the vehicle is lower than the temperature threshold and does not reach the ignition point), the child breathing frequency is normal, the pet vital signs are normal, etc. The abnormal state of the left-over in the vehicle can include that the flammable material is close to the ignition point, the child breathing is weak, the child cries continuously, the pet vital signs are abnormal, and the vehicle contains a power bank, etc. The specific conditions can be adjusted according to the actual application scenario, and the embodiments of the present application are not limited thereto.
[0045] It should be noted that although the above is to divide the hazard source information into two levels, in actual application, different levels can be divided according to actual conditions, and the embodiments of the present application are not limited thereto. Alternatively, in other embodiments, the distance of the hazard source and the distance threshold can be compared and judged, the temperature in the vehicle and the temperature threshold can be compared and judged, and whether the state of the left-over in the vehicle is normal or not can be judged, which are taken as trigger conditions. When at least one trigger condition (for example, the distance of the hazard source is less than the distance threshold, the temperature in the vehicle exceeds the temperature threshold, or the left-over in the vehicle is in an abnormal state, etc.) is met, the corresponding safety mechanism is triggered.
[0046] In some embodiments of the present application, S130 can include: if the hazard source information is in the first level, generating the alarm information; wherein the alarm information represents that the vehicle is in an abnormal environment state; if the user is in the vehicle, displaying or broadcasting the alarm information; if the user is not in the vehicle, pushing the alarm information to the cloud application of the user.
[0047] For example, in the specific embodiments of the present application, when the hazard source information belongs to the first level described above, corresponding alarm information can be generated. For example, when the fire source distance is not less than the distance threshold, the content in the alarm information can be how far the front exists a fire source, reminding the driver (as a specific example of a user) to pay attention; if the driver is in the car, it can be displayed through the display screen in the car or informed through voice broadcast; if the driver is not in the car (for example, the vehicle is parked in a parking lot), the alarm information can be sent to the driver's cloud application (i.e., cloud application) or informed in the form of short message notification. In this way, the driver can be informed in time that the vehicle may be in a potentially dangerous environment in the future and needs to be monitored in time, thereby improving the safety of vehicle parking.
[0048] In some embodiments of the present application, S130 can include: if the hazard source information is in the second level, generating a vehicle control instruction; if the user is in the car, displaying or broadcasting the vehicle control instruction and executing the vehicle control instruction to control the vehicle to move to the safe area and start the vehicle function; if the user is not in the car, pushing the vehicle control instruction to the cloud application of the user; after receiving the confirmation instruction sent by the cloud application, executing the vehicle control instruction to control the vehicle to move to the safe area and start the vehicle function; wherein the vehicle function includes starting double flash warning and / or starting ventilation system.
[0049] For example, in the specific embodiments of the present application, when the hazard source information belongs to the second level described above, corresponding vehicle control instructions can be generated. For example, when the fire source distance is less than the distance threshold, the vehicle control instruction can be to control the vehicle to move to the safe area. Specifically, after detecting the existence of a safety hazard, the vehicle accesses the high-precision map and traffic data in real time, and plans the vehicle driving path through the automatic driving algorithm, so that the vehicle can move to the safe area according to the vehicle driving path. The vehicle driving path can be verified by "safe sandbox supervision" and has been determined to be safe to drive.
[0050] If the driver is in the vehicle, when the driver is prompted that there is a safety hazard, the driver does not take measures within a preset time period (for example, 30 seconds or 1 minute, etc.), at this time, the intelligent driving assistance system assists the vehicle to travel to a safe area according to the vehicle travel path; if the driver is not in the vehicle, the vehicle control instruction needs to be sent to the driver's cloud APP, and the driver can send a confirmation instruction to the intelligent driving assistance system after confirming in the cloud APP, so as to assist the vehicle to travel to a safe area according to the vehicle travel path. Before moving, the double flash warning can also be turned on to remind. For another example, when it is detected that there is flammable material in the vehicle and the flammable material is in an abnormal state (such as close to the ignition point), if the driver does not take any operation after being prompted, the intelligent driving assistance system automatically opens the ventilation system to circulate and disperse the combustible gas; if the driver is not in the vehicle, the vehicle control instruction is sent to the cloud APP, and the driver is informed that there is flammable material, and after the driver returns the confirmation instruction, the intelligent driving assistance system automatically opens the ventilation system to circulate and disperse the combustible gas. At this time, the intelligent driving assistance system can also assist the vehicle to travel to a safe and open area. For another example, it is detected that the child or pet in the vehicle breathes weakly, and the in-vehicle state can also be reminded through V2X or ecall call for help under the condition of confirmation by the driver. Specifically, the safety mechanism can be flexibly adjusted according to the actual situation, and the embodiments of the present application are not limited thereto.
[0051] The specific process of the vehicle safety control provided by some embodiments of the present application will be described below with reference to the accompanying drawings. Figure 2 The specific process of the vehicle safety control provided by some embodiments of the present application will be described below with reference to the accompanying drawings.
[0052] The specific process of the vehicle safety control provided by some embodiments of the present application will be described below with reference to the accompanying drawings. Figure 2 , Figure 2 The specific process of the vehicle safety control provided by some embodiments of the present application will be described below with reference to the accompanying drawings.
[0053] The specific process of the vehicle safety control provided by some embodiments of the present application will be described below with reference to the accompanying drawings.
[0054] S210, collecting the vehicle external danger source information and the in-vehicle left-over by the vehicle external collection device and the vehicle internal collection device respectively; S220, inputting the vehicle external danger source information and the in-vehicle left-over into the intelligent decision model to obtain a decision result.
[0055] S230, confirming that the decision result contains a result of triggering an emergency warning and the danger source information; For example, the danger source information can be that the fire source distance of the vehicle external fire source is less than a safety threshold (that is, a distance threshold), and the temperature rise in the vehicle caused by the fire source has a risk of damaging electrical components; or the child's vital signs in the vehicle are in an abnormal state due to the temperature rise in the vehicle; or the flammable material is close to the ignition point, etc.
[0056] S240, confirming whether the danger source information belongs to the first level, if yes, performing S250, otherwise performing S260.
[0057] S250, generating an alarm information based on the hazard source information.
[0058] S260, generating a vehicle control instruction based on the hazard source information.
[0059] S261, determining whether the driver is in the vehicle, if yes, performing S260, otherwise performing S270.
[0060] S262, displaying or broadcasting a prompt information, if the driver does not take any action within a preset time, controlling the vehicle to move to a safe area and turning on a double flash warning.
[0061] S263, sending the prompt information to a cloud APP; after confirming a confirmation instruction corresponding to the prompt information is received, controlling the vehicle to move to a safe area and turning on a double flash warning.
[0062] It can be understood that the specific implementation process of S210-S263 can refer to the method embodiments provided in the foregoing description, and the detailed description is appropriately omitted here to avoid repetition.
[0063] Please refer to Figure 3 , Figure 3 The composition block diagram of the vehicle safety control apparatus provided by some embodiments of the present application is shown. It should be understood that the vehicle safety control apparatus corresponds to the method embodiments described above, and can perform each step involved in the method embodiments described above. The specific functions of the vehicle safety control apparatus can be referred to the description in the foregoing description, and the detailed description is appropriately omitted here to avoid repetition.
[0064] Figure 3 The vehicle safety control apparatus includes at least one software function module which can be stored in the form of software or firmware in the memory or solidified in the vehicle safety control apparatus. The vehicle safety control apparatus includes: a collection module 310 for obtaining vehicle environment information through a collection device; wherein the vehicle environment information includes external hazard source information and / or in-vehicle left-over; the type of the in-vehicle left-over includes flammable and explosive articles, children or pets; a decision module 320 for analyzing the vehicle environment information by using an intelligent decision model to obtain a decision result; wherein the decision result includes a result of whether to trigger an emergency warning, and in the case that the decision result is to trigger the emergency warning, the decision result further includes hazard source information; a safety control module S330 for, in the case that the decision result is to trigger the emergency warning, triggering a safety mechanism corresponding to the hazard source information based on the level of the hazard source information; wherein the safety mechanism includes: generating an alarm information and pushing it to a user, intelligently assisting in controlling the vehicle to move to a safe area, or turning on a corresponding vehicle function of the vehicle.
[0065] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the apparatus described above can refer to the corresponding process in the foregoing method, and will not be described in detail here.
[0066] Some embodiments of the present application further provide a computer readable storage medium, having stored thereon a computer program, wherein the computer program is executed by a processor to implement operations of the method corresponding to any of the embodiments of the foregoing method provided by the foregoing embodiments.
[0067] Some embodiments of the present application further provide a computer program product, comprising a computer program, wherein the computer program is executed by a processor to implement operations of the method corresponding to any of the embodiments of the foregoing method provided by the foregoing embodiments.
[0068] As shown in Figure 4 Some embodiments of the present application provide an electronic device 400, which comprises a memory 410, a processor 420, and a computer program stored in the memory 410 and executable on the processor 420, wherein the processor 420 reads the program from the memory 410 through a bus 430 and executes the program to implement the method of any of the foregoing embodiments.
[0069] The processor 420 can process digital signals and can include various computing structures, such as a complex instruction set computer structure, a reduced instruction set computer structure, or a structure implementing a combination of multiple instruction sets. In some examples, the processor 420 can be a microprocessor.
[0070] The memory 410 can be used to store instructions executed by the processor 420 or data related to the execution of the instructions. These instructions and / or data can include code for implementing some or all of the functions of one or more modules described in the embodiments of the present application. The processor 420 of the embodiments of the present disclosure can be used to execute the instructions in the memory 410 to implement the method shown in the foregoing. The memory 410 includes dynamic random access memory, static random access memory, flash memory, optical memory, or other memory well known to those skilled in the art.
[0071] The above only describes the embodiments of the present application and does not limit the protection scope of the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.
[0072] The above description is only the specific implementation of this application, but the protection scope of this application is not limited to this, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by this application, which should be covered in the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.
[0073] It should be noted that the relative terms, such as first and second, and the like, are used herein only to distinguish one entity or action from another, and do not necessarily require or imply any such actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprises a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.
Claims
1. A method for vehicle safety control, characterized in that: include: Acquiring vehicle environment information through a collection device; wherein the vehicle environment information includes information on hazardous sources outside the vehicle and / or objects left inside the vehicle; the types of objects left inside the vehicle include flammable and explosive items, children, or pets; Analyzing the vehicle environment information using an intelligent decision model to obtain a decision result; wherein the decision result includes whether an emergency warning is triggered; if the decision result is to trigger the emergency warning, the decision result also includes hazard source information; When the decision result is to trigger the emergency warning, the safety mechanism corresponding to the hazard source information is triggered based on the level of the hazard source information; wherein, the safety mechanism includes generating an alarm message and pushing it to the user, intelligently assisting in controlling the vehicle to move to a safe area, or turning on the corresponding on-board function of the vehicle.
2. The method according to claim 1, wherein The acquiring of vehicle environment information by a collection device includes: Acquire the external hazard source information through an external vehicle collection device; the external hazard source information includes: hazard source characteristics and hazard source distance of the external hazard source; the external hazard source includes an explosion source or a fire source; and / or, The temperature gradient change information inside the vehicle and the objects left inside the vehicle are obtained through the in-vehicle collection equipment.
3. The method according to claim 1 or 2, wherein: The method of analyzing vehicle environment information using an intelligent decision-making model to obtain a decision result includes: Calculating the confidence between the vehicle environment information and pre-stored feature information using the intelligent decision model; the pre-stored feature information represents the feature type that triggers the emergency warning; If it is confirmed that the confidence level exceeds the confidence level threshold, the result of triggering the emergency warning and the hazard source information are generated.
4. The method according to claim 1 or 2, wherein: The levels of the hazard source information include: first level and second level; The first level includes at least one of: a danger source exists outside the vehicle and the distance to the danger source is not less than a distance threshold, the temperature inside the vehicle is not higher than a temperature threshold, there is no object left inside the vehicle, or there is an object left inside the vehicle and the object is in normal condition; The second level includes at least one of: there is a danger source outside the vehicle and the distance to the danger source is less than a distance threshold, the temperature inside the vehicle is higher than a temperature threshold, there is something left inside the vehicle and the state of the thing left inside the vehicle is abnormal.
5. The method according to claim 4, wherein The triggering of a safety mechanism corresponding to the hazard source information based on the level of the hazard source information includes: If the hazard source information is at the first level, the warning information is generated; wherein the warning information indicates that the vehicle is in an abnormal environment state; If the user is in the car, the alarm information is displayed or broadcast; if the user is not in the car, the alarm information is pushed to the user's cloud application.
6. The method according to claim 4, wherein The triggering of a safety mechanism corresponding to the hazard source information based on the level of the hazard source information includes: If the hazard source information is at the second level, generating a vehicle control instruction; If the user is in the vehicle, the vehicle control instruction is displayed or broadcasted, and the vehicle control instruction is executed to control the vehicle to move to the safe area and activate the vehicle function; If the user is not in the vehicle, the vehicle control instruction is pushed to the user's cloud application; after receiving the confirmation instruction sent by the cloud application, the vehicle control instruction is executed to control the vehicle to move to the safe area and activate the vehicle function; The vehicle-mounted functions include starting a double flash alarm and / or starting a ventilation system.
7. A vehicle safety control device, characterized in that: include: A collection module is used to obtain vehicle environment information through a collection device; wherein the vehicle environment information includes information on external hazards and / or objects left inside the vehicle; the types of objects left inside the vehicle include flammable and explosive items, children or pets; A decision-making module is used to analyze vehicle environmental information using an intelligent decision-making model to obtain a decision result; wherein, the decision result includes whether an emergency warning is triggered. In the case where the decision result is to trigger the emergency warning, the decision result also includes: hazard source information; a safety control module is used to trigger a safety mechanism corresponding to the hazard source information based on the level of the hazard source information when the decision result is to trigger the emergency warning; wherein, the safety mechanism includes: generating an alarm message and pushing it to the user, intelligent auxiliary control of the vehicle to move to a safe area, or turning on the corresponding vehicle function of the vehicle.
8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein the computer program is executed by a processor to perform the method according to any one of claims 1 to 6.
9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the computer program executes the method according to any one of claims 1 to 6 when being run by the processor.
10. A computer program product, characterized in that The computer program product comprises a computer program, wherein the computer program is executed by a processor to perform the method according to any one of claims 1 to 6.