In-vehicle living body safety emergency response system and method, vehicle and storage medium

Abstract

The invention relates to the field of intelligent vehicles, and discloses an in-vehicle living body safety emergency response system and method, a vehicle and a storage medium. The system comprises an acquisition module used for acquiring an in-vehicle safety signal of a vehicle when the vehicle meets a preset triggering condition; the analysis module is used for processing the in-vehicle safety signal to obtain in-vehicle life body characteristics; the control module is used for judging whether a living body exists in the vehicle or not and whether the in-vehicle environment exceeds a preset safety threshold value or not according to the in-vehicle safety signal, obtaining a safety identification result and generating a control signal according to the safety identification result and the in-vehicle life body characteristics; and the execution module is used for executing grading emergency operation according to the control signal. Through multi-mode sensor fusion, differential grading response and whole-process safety redundancy, the crossing from passive reminding to active rescue is realized, the risks of trapped living bodies, heatstroke, suffocation and the like in the automobile are effectively prevented, and the development trend of the intelligent automobile safety technology is met.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent vehicles, in particular to an in-vehicle living body safety emergency response system and method, a vehicle and a storage medium. BACKGROUND

[0002] With the popularity of automobiles in daily life, safety accidents in a closed environment in the vehicle occur frequently, which has become an important hidden danger threatening the life safety of drivers and passengers and trapped living bodies (children and pets). The main types of accidents include carbon monoxide poisoning, heat / cold-induced heatstroke / frostbite, suffocation, and missed rescue opportunities due to sudden illness, and related tragedies are becoming a normalized trend.

[0003] The existing technical solutions for in-vehicle living body safety have high false positive rates, passive responses, poor environmental adaptability, and other obvious defects, making it difficult to effectively solve the above problems. Therefore, there is an urgent need for an in-vehicle living body safety emergency response scheme with high reliability and low false positives to solve the current technical bottleneck and improve the safety protection level in a closed environment in the vehicle. SUMMARY

[0004] Therefore, the purpose of the present application is to overcome the deficiencies in the prior art and provide an in-vehicle living body safety emergency response system, method, vehicle and storage medium.

[0005] The present application provides the following technical solutions: In a first aspect, the present application provides an in-vehicle living body safety emergency response system, which comprises a collection module, an analysis module, a control module and an execution module. The collection module is configured to collect in-vehicle safety signals of the vehicle when the vehicle meets a predetermined triggering condition, and send the in-vehicle safety signals to the analysis module and the control module. The analysis module is configured to receive the in-vehicle safety signals, process the in-vehicle safety signals, obtain in-vehicle living body characteristics, and send the in-vehicle living body characteristics to the control module. The control module is configured to receive the in-vehicle safety signals and the in-vehicle living body characteristics, determine whether there is a living body in the vehicle and whether the in-vehicle environment exceeds a predetermined safety threshold based on the in-vehicle safety signals, obtain a safety identification result, generate a control signal based on the safety identification result and the in-vehicle living body characteristics, and send the control signal to the execution module. The execution module is configured to receive the control signal and execute a hierarchical emergency operation based on the control signal.

[0006] In an optional implementation, the collection module comprises a millimeter wave radar, a carbon dioxide sensor, a temperature sensor, a dust sensor, and a humidity sensor, the in-vehicle safety signal comprises an in-vehicle living body signal and an in-vehicle environment parameter signal, the in-vehicle living body signal comprises an in-vehicle micro-motion signal, and the in-vehicle environment parameter signal comprises an in-vehicle carbon dioxide concentration signal, an in-vehicle temperature signal, an in-vehicle dust concentration signal, and an in-vehicle humidity signal. The millimeter wave radar is configured to collect the in-vehicle micro-motion signal of the vehicle. The carbon dioxide sensor is configured to collect the in-vehicle carbon dioxide concentration signal of the vehicle. The temperature sensor is configured to collect the in-vehicle temperature signal of the vehicle. The dust sensor is configured to collect the in-vehicle dust concentration signal of the vehicle. The humidity sensor is configured to collect the in-vehicle humidity signal of the vehicle.

[0007] In an optional implementation, the analysis module comprises a preprocessing unit. The preprocessing unit is configured to receive the in-vehicle safety signal, filter the in-vehicle safety signal to obtain a filtered in-vehicle safety signal, and perform gain amplification on the filtered in-vehicle safety signal to obtain an amplified in-vehicle safety signal. The preprocessing unit is further configured to convert the amplified in-vehicle safety signal into a standardized digital signal to obtain a preprocessed in-vehicle safety signal. The preprocessing unit is further configured to convert the amplified in-vehicle safety signal into a standardized digital signal to obtain a preprocessed in-vehicle safety signal.

[0008] In an optional implementation, the analysis module further comprises a feature extraction unit. The feature extraction unit is configured to determine a micro-motion frequency and a body contour of an in-vehicle living body based on the preprocessed in-vehicle safety signal. The feature extraction unit is further configured to utilize a pre-trained lightweight convolutional neural network model to perform type identification on the in-vehicle living body based on the micro-motion frequency and the body contour to obtain a living body type. The feature extraction unit is further configured to integrate the living body type, the micro-motion frequency, and the body contour into an in-vehicle living body feature and send the in-vehicle living body feature to the control module.

[0009] In an optional implementation, the control module comprises a determination unit. The determination unit is configured to receive the in-vehicle safety signal and the in-vehicle living body feature, and determine whether there is a living body in the vehicle in combination with a change rate of the micro-motion signal and the carbon dioxide concentration signal in the in-vehicle safety signal within a preset time period. The determination unit is further configured to determine whether the temperature signals collected for a preset number of times successively exceed the preset safety threshold if there is a living body in the vehicle, and if so, start a timer and generate a duration of over-limit time; The determination unit is further configured to determine whether the duration of over-limit time exceeds a first preset response time threshold, and if so, generate an early warning information and push the early warning information to a user terminal, determine whether the duration of over-limit time exceeds a second preset response time threshold, and if so, generate a corresponding control signal according to a living body type in the living body features in the vehicle, wherein the early warning information comprises the safety signal in the vehicle, the living body type and the position of the vehicle, and the first preset response time threshold is less than the second preset response time threshold.

[0010] In an optional embodiment, the execution module comprises a hierarchical operation unit. The hierarchical operation unit is configured to receive the control signal and perform a corresponding window control operation according to the living body type in the living body features in the vehicle. The hierarchical operation unit is further configured to perform a corresponding sound and light alarm operation according to the living body type in the living body features in the vehicle. The hierarchical operation unit is further configured to perform a corresponding emergency call operation to a user terminal or an emergency rescue platform according to the living body type in the living body features in the vehicle.

[0011] In an optional embodiment, the collection module further comprises a rain sensor, and the execution module further comprises a progress tracking unit. The progress tracking unit is configured to stop or cancel the window control operation if the rain sensor detects rainfall outside the vehicle before the window control operation is performed. The progress tracking unit is further configured to monitor the battery power of the vehicle in real time, and stop the window control operation and the sound and light alarm operation when the battery power is lower than a preset low power threshold. The progress tracking unit is further configured to receive a dynamic position and an estimated arrival time fed back by the emergency rescue platform in real time, and push the dynamic position and the estimated arrival time to the user terminal. The progress tracking unit is further configured to generate a one-time temporary digital unlock code with a preset validity period through a preset communication platform, push the one-time temporary digital unlock code to a rescuer terminal, and record an identity ID and an unlock time of the rescuer terminal. The progress tracking unit is further configured to detect whether there is still a living body in the vehicle and a door opening state through the collection module, and stop the window control operation and the sound and light alarm operation after confirming that the living body has left and the door is closed, push a rescue completion notification to the user terminal, and generate a corresponding safety log.

[0012] In a second aspect, the present application provides an in-vehicle living body safety emergency response method applied to the in-vehicle living body safety emergency response system according to any one of the preceding embodiments, the system comprising a collection module, an analysis module, a control module and an execution module, and the method comprising: collecting, by the collection module, an in-vehicle safety signal of the vehicle when the vehicle meets a preset triggering condition, and sending the in-vehicle safety signal to the analysis module and the control module; receiving, by the analysis module, the in-vehicle safety signal, processing the in-vehicle safety signal to obtain in-vehicle living body characteristics, and sending the in-vehicle living body characteristics to the control module; receiving, by the control module, the in-vehicle safety signal and the in-vehicle living body characteristics, judging whether there is a living body in the vehicle and whether the in-vehicle environment exceeds a preset safety threshold according to the in-vehicle safety signal to obtain a safety identification result, generating a control signal according to the safety identification result and the in-vehicle living body characteristics, and sending the control signal to the execution module; receiving, by the execution module, the control signal, and executing a hierarchical emergency operation according to the control signal.

[0013] In a third aspect, the present application provides a vehicle comprising a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the in-vehicle living body safety emergency response method according to the second aspect when executing the computer program.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, and the computer program implementing the steps of the in-vehicle living body safety emergency response method according to the second aspect when executed by a processor.

[0015] The present application has the following beneficial effects: The in-vehicle living body safety emergency response system provided by the embodiments of the present application forms a complete closed loop of "perception-analysis-decision-execution" through multi-dimensional data input of the collection module, fine identification of the analysis module, scientific decision of the control module, and differentiated intervention and safety redundancy of the execution module, solves the problems of high false positive rate, passive response and poor environmental adaptability of the prior art, realizes the leap from passive prompting to active rescue, effectively prevents the risks of in-vehicle living body being trapped in heatstroke and suffocation, and at the same time, takes into account user experience and privacy security, which conforms to the development trend of intelligent vehicle safety technology.

[0016] In order to make the above objectives, characteristics and advantages of the present application more apparent and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are referred to. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced as follows. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be considered as a limitation to the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings. In the various drawings, similar components are denoted by similar reference numerals.

[0018] Figure 1 A structural schematic diagram of a vehicle living body safety emergency response system provided by an embodiment of the present application is shown; Figure 2 A flowchart of a vehicle living body safety emergency response method provided by an embodiment of the present application is shown; Figure 3 A structural schematic diagram of a vehicle provided by an embodiment of the present application is shown.

[0019] Main component symbol explanation: 100-vehicle living body safety emergency response system; 110-acquisition module; 120-analysis module; 130-control module; 140-execution module; 111-millimeter wave radar; 112-carbon dioxide sensor; 113-temperature sensor; 114-dust sensor; 115-humidity sensor; 116-rainfall sensor; 117-timer; 121-preprocessing unit; 122-feature extraction unit; 131-determination unit; 141-hierarchical operation unit; 142-progress tracking unit. DETAILED DESCRIPTION

[0020] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation to the present application.

[0021] It should be noted that the terms "first", "second" are only used for description purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the template description is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0023] Example 1 like Figure 1 The diagram shown is a structural schematic of an in-vehicle live safety emergency response system 100 according to an embodiment of this application. The system includes a data acquisition module 110, an analysis module 120, a control module 130, and an execution module 140.

[0024] Preferably, the acquisition module 110 is used to acquire the vehicle's in-vehicle safety signal when the vehicle meets the preset triggering conditions, and send the in-vehicle safety signal to the analysis module 120 and the control module 130.

[0025] Understandably, the acquisition module 110 serves as the core of the system's data input. When the vehicle meets the preset trigger condition of "engine off + vehicle locked," it comprehensively acquires in-vehicle safety signals and simultaneously sends them to the analysis module 120 and the control module 130. In-vehicle safety signals include in-vehicle vital signs (including in-vehicle micro-motion signals) and in-vehicle environmental parameter signals (including in-vehicle carbon dioxide concentration signals, in-vehicle temperature signals, in-vehicle dust concentration signals, and in-vehicle humidity signals). Specifically, the acquisition module 110 consists of a millimeter-wave radar 111, a carbon dioxide sensor 112 (NDIR type) 112, a temperature sensor 113, a dust sensor 114 (PM2.5 sensor) 114, a humidity sensor 115, and a rain sensor 116. It also integrates a timer 117 for recording time.

[0026] Optionally, in this embodiment, the millimeter-wave radar 111 operates in the 60GHz or 77GHz frequency band, is installed in the roof lining or B-pillar, covers the front and rear seat areas, can penetrate clothing and seats, is not affected by light, and collects 0.1mm-level periodic micro-motion signals (corresponding to vital signs such as breathing and heartbeat) inside the vehicle.

[0027] Optionally, in this embodiment, the carbon dioxide sensor 112 has a detection range of 400–5000 ppm, a resolution of ±50 ppm, and a response time of <120 seconds. When the carbon dioxide concentration signal in the vehicle is collected, its concentration change rate can be used as an auxiliary basis for determining the presence of living organisms when it reaches a certain value (e.g., 50 ppm / min).

[0028] Optionally, in the embodiment, the number of temperature sensors 113 is ≥ 3 (arranged in the front row, rear row, and under the sunroof respectively), the sampling frequency is 1 time per minute, the accuracy is ±0.5℃, the vehicle interior temperature signal is collected, and whether to enter an extreme temperature zone can be determined subsequently.

[0029] Optionally, in the embodiment, the dust sensor 114 works based on a laser scattering method, the detection range is 0-500μg / m³, the vehicle interior dust (PM2.5) concentration signal is collected, and data support is provided for respiratory environment optimization.

[0030] Optionally, in the embodiment, the humidity sensor 115 detects a range of 0-100%RH, the accuracy is ±3%RH, the vehicle interior humidity signal is collected, and the heat index (sensible temperature) is calculated in combination with the temperature.

[0031] Optionally, in the embodiment, the rain sensor 116 is installed on the inner side of the front windshield, collects the vehicle window rain signal based on the optical reflection principle, and serves as a safety redundancy criterion for vehicle window control.

[0032] Optionally, in the embodiment, the timer 117 is linked with the temperature sensor 113, and is used for accurately recording the duration of exceeding the preset safety threshold of the environmental parameter.

[0033] The above-mentioned collection module realizes comprehensive and accurate collection of the vehicle interior life body signal and environmental parameter by integrating multi-dimensional sensing units, solves the defects of the prior art that relies on a single pressure / temperature sensor and is prone to false positives and has no life sign verification, and provides high-credibility original data support for subsequent accurate determination.

[0034] Preferably, the analysis module 120 is used for receiving the vehicle interior safety signal, processing the vehicle interior safety signal, obtaining the vehicle interior life body characteristics, and sending the vehicle interior life body characteristics to the control module 130.

[0035] Understandably, the analysis module 120, as the data brain of the system, completes signal processing and feature extraction through a built-in algorithm after receiving the vehicle interior safety signal sent by the collection module 110, and finally outputs the vehicle interior life body characteristics to the control module 130. The module specifically includes a preprocessing unit 121 and a feature extraction unit 122.

[0036] Optionally, the preprocessing unit 121 first filters the original in-vehicle safety signal to eliminate environmental interference noise to obtain a filtered in-vehicle safety signal; then performs gain amplification on the filtered in-vehicle safety signal to ensure that the subsequent feature extraction can be recognized, to obtain an amplified in-vehicle safety signal; and finally converts the amplified in-vehicle safety signal into a standardized digital signal, converts signals of different dimensions into standardized digital signals in the interval [-1, 1], eliminates the influence of dimension differences on the algorithm, and obtains a preprocessed in-vehicle safety signal to ensure data accuracy.

[0037] Optionally, the feature extraction unit 122 determines the micro-motion frequency of the in-vehicle living body from the preprocessed signal by Fourier transform (accurately captures the breathing frequency of 0.1-0.5 Hz and the heartbeat frequency of 1-1.7 Hz, and excludes non-periodic object shaking such as clothing fluttering), and then uses the K-means clustering algorithm to eliminate background points (such as seats and steering wheels), retains target point clouds and fits them into a cuboid model, calculates the model height and width, and then obtains the body contour; then, a pre-trained lightweight convolutional neural network (CNN) model is used to input the double features of “micro-motion frequency + body contour” for type identification, and output three types of living body types: (1) children: breathing frequency 20-30 times / minute, body height <1.2 m; (2) adults: breathing frequency 12-20 times / minute, body height >1.5 m; (3) pets: breathing frequency 15-40 times / minute, body height <0.5 m. Finally, the living body type, micro-motion frequency, and body contour are integrated into complete in-vehicle living body features and sent to the control module 130.

[0038] The above analysis module effectively eliminates environmental noise interference through filtering, amplification, and standardization processing of the preprocessing unit, ensuring signal accuracy; and then through Fourier transform and lightweight CNN model of the feature extraction unit, accurately separates the breathing / heartbeat frequency features, constructs the body contour, and subdivides the living body types, providing a core basis for subsequent differentiated emergency response, and taking into account the identification reliability and intervention pertinence.

[0039] Preferably, the control module 130 is configured to receive the in-vehicle safety signal and the in-vehicle living body features, determine whether there is a living body in the vehicle and whether the in-vehicle environment exceeds a preset safety threshold based on the in-vehicle safety signal to obtain a safety identification result, generate a control signal based on the safety identification result and the in-vehicle living body features, and send the control signal to the execution module 140.

[0040] Understandably, the control module 130 is implemented based on the ECU of the system, integrates the fusion algorithm and the state machine logic, receives the environmental parameter signal of the collection module 110 and the in-vehicle living body features of the analysis module 120, and performs “double determination + dynamic threshold” decision, which is specifically completed by the determination unit 131.

[0041] Optionally, the determining unit 131 determines whether the living body exists by using the joint criterion of "millimeter wave radar 111 micro-motion signal + CO2 concentration rate of change", to avoid false triggering of non-living objects (such as a backpack, a blanket). For example, if the millimeter wave radar 111 detects a 0.1-0.5Hz breathing frequency signal and the CO2 concentration rate of change is >50ppm / min, it is determined that there is a living body; if only one condition is met (such as CO2 concentration rising but no micro-motion, or micro-motion but no CO2 change), it is determined that there is no living body, and the system enters hibernation (reducing power consumption).

[0042] Optionally, the determining unit 131 determines the environmental risk based on the temperature sensor 113 and the timer 117 data to avoid false triggering. For example, if the temperature is ≥50℃ or ≤0℃ for 3 consecutive samplings, start the timer 117 and record the duration of the over-standard time; if the temperature is not continuously over-standard, reset the timer 117 and return to the living body existence determination step.

[0043] Optionally, the determining unit 131 determines whether the duration of over-standard time exceeds a first preset response time threshold, and if so, generates early warning information including an in-vehicle safety signal, a living body type, and a location of the vehicle, and pushes the early warning information to a user terminal; further determines whether the duration of over-standard time exceeds a second preset response time threshold, and if so, generates a differentiated control signal according to the living body type. In this embodiment, the differentiated response time threshold is set according to the living body type (for example, children: primary 3 minutes, ultimate 8 minutes; adults / pets: primary 5 minutes, ultimate 10 minutes), and an example is shown in Table 1 as follows: Table 1

[0044] The above control module is based on the dual determination logic of "living body existence + environmental over-standard", combined with the time dimension criterion of the timer, to avoid false triggering of temporary temperature changes or non-living objects, and at the same time, the differentiated response threshold is set according to the living body type, which not only ensures the rapid response of the high-risk group such as children in emergency situations, but also avoids excessive intervention in adult / pet scenarios, balancing safety and practicality.

[0045] Preferably, the execution module 140 is configured to receive the control signal and execute the graded emergency operation according to the control signal.

[0046] Understandably, the execution module 140, as the action terminal of the system, receives the control signal of the control module 130, executes the graded emergency operation and realizes the rescue closed loop, which specifically includes a graded operation unit 141 and a progress tracking unit 142.

[0047] Optionally, the hierarchical operation unit 141 receives a control signal, and the differentiated emergency intervention is adjusted for different living body types to balance safety and humanization. In this embodiment, the specific operation is as follows: (1) vehicle window control operation: children: open the rear side window (avoid the climbing area of children), and the opening height is less than or equal to 10 cm (ensure ventilation and prevent falling); pets: open the rear side window, and the opening height is 3-5 cm (prevent pets from jumping out); adults: open the sunroof (avoid the risk of opening the side window to cause property damage), and the opening height is 15 cm; (2) sound and light alarm operation: children: whistle volume ≤ 60 decibels (avoid shocking), double flash light always on, and start the cabin soft atmosphere light (warm yellow, 300 lux) at the same time; pets: whistle volume ≤ 40 decibels (reduce stress response), double flash light “on for 1 second / off for 1 second”; adults: whistle volume 80 decibels (standard volume), double flash light “on for 2 seconds / off for 1 second”; all scenes whistle according to “on for 3 seconds / off for 2 seconds” cycle, and the longest duration is 30 minutes (avoid disturbing the public); (3) emergency call operation: children: preferentially dial the owner's phone (3 times, each time ring for 30 seconds) → fail to dial the standby guardian's phone (2 times) → fail to transfer 120+ and send the vehicle GPS position; adults: first play voice through the vehicle audio (“detect that you may face danger, do you need rescue? Please speak or make a gesture response”) → no effective response (microphone does not detect sound or radar does not detect motion) within 30 seconds, then execute the call process; pets: send the note information “the living body trapped in the vehicle is a pet” to the rescue platform when calling to avoid mismatch of rescue resources.

[0048] Optionally, the progress tracking unit 142 performs safety redundancy and rescue closed-loop guarantee emergency operation to ensure the safety and traceability of the whole process of "before operation - during operation - after operation": (1) Safety redundancy before operation: before opening the window, read the data of the rain sensor 116 first → if it is detected that it is raining (the intensity of reflected light < 500 lux), immediately stop opening the window and push the "don't open the window in rainy days, the alarm has been strengthened" notification to the owner's APP; monitor the vehicle battery power in real time → if the power < 20% (low voltage battery protection threshold), immediately stop the high-power operation such as honking, double flashing, etc., and only keep the APP warning and eCall communication (to avoid the vehicle running out of power and unable to start); (2) Rescue coordination during operation: through the eCall system and the emergency rescue platform, the dynamic GPS position and the estimated time of arrival (ETA) of the rescue vehicle are obtained in real time, and the owner's APP is updated every 2 minutes (shown in the form of map marking + countdown); After the rescue personnel arrive at the scene, the system generates a one-time temporary digital unlock code (based on the vehicle VIN code + current timestamp encryption, valid for 10 minutes) through the eCall platform and pushes it to the rescue personnel terminal → after inputting the unlock code, the system authorizes the unlocking of the main driver's door (other doors remain locked to ensure the safety of property), while automatically recording the rescue personnel's ID (obtained from the rescue platform) and the unlocking time; (3) State reset after operation: through the millimeter wave radar 111 (to detect whether there is still micro movement) + the door state sensor (to detect whether the door is opened), confirm that "there is no living body left in the vehicle and the door is closed" → automatically close the opened window, stop the alarm, and restore the system to standby state; Push the "rescue completed" closed-loop notification (such as "rescue completed, child rescued safely") to the owner's APP, and attach the safety log (including event timeline, sensor data curve, operation record, rescue personnel ID), support download and save.

[0049] It should be noted that, in order to clearly show the running process of the system, the following is the state machine logic of the "engine off and lock - rescue closed loop" of the present application: (1) Initial state: vehicle engine off and lock → system power-on self-check (whether sensors, communication modules are normal) → self-check passed → enter "living body detection" state; (2) Living body detection state: millimeter wave radar 111 + carbon dioxide sensor 112 start → if it is determined that "there is no living body" → the system enters hibernation (wakes up every 30 minutes for self-checking once); if it is determined that "there is a living body" → enter "temperature monitoring" state; (3) Temperature monitoring state: temperature sensor 113 samples every 1 minute → if it is not over standard for 3 times in a row → reset the timer 117 and return to the "living body detection" state; if it is over standard for 3 times in a row → start the timer 117 and enter the "graded response" state; (4) Graded response state: trigger primary / ultimate response according to living body type → execute corresponding emergency operation → enter "rescue tracking" state; (5) Rescue tracking status: Real-time tracking of rescue progress → If it is confirmed that the living person has left and the car door is closed → Execution status reset (turn off the alarm, reset the car window) → Push closed-loop notification to the car owner → The system returns to hibernation status; If it is not confirmed that the person has left → Continue tracking until the rescue is completed.

[0050] The aforementioned execution module achieves differentiated emergency intervention through hierarchical operation units, taking into account both the characteristics of the protected object and safety requirements; the progress tracking unit features safety redundancy designs such as stopping window opening in rainy weather and stopping high-power operations when the battery is low, avoiding secondary losses; temporary unlocking codes, rescue progress synchronization, and closed-loop notifications enable full-process management from intervention to rescue, greatly shortening rescue time, while improving user experience through reassurance procedures and privacy protection, avoiding disturbing residents.

[0051] The in-vehicle live body safety emergency response system provided in this application forms a complete closed loop of "perception-analysis-decision-execution" through multi-dimensional data input from the acquisition module, refined identification from the analysis module, scientific decision-making from the control module, and differentiated intervention and safety redundancy from the execution module. This solves the problems of high false alarm rate, passive response, and poor environmental adaptability in existing technologies, and achieves a leap from passive reminders to proactive rescue. It effectively prevents the risks of heatstroke and suffocation of live bodies trapped in vehicles, while taking into account user experience and privacy security, which is in line with the development trend of intelligent vehicle safety technology.

[0052] Example 2 like Figure 2 The diagram shown is a flowchart of an in-vehicle live-body safety emergency response method according to an embodiment of this application. The in-vehicle live-body safety emergency response method provided in this application is applied to the in-vehicle live-body safety emergency response system in Embodiment 1. The system includes a data acquisition module, an analysis module, a control module, and an execution module, and specifically includes the following steps: Step S110: When the vehicle meets the preset triggering conditions, the acquisition module acquires the vehicle's in-vehicle safety signal and sends the in-vehicle safety signal to the analysis module and the control module. Step S120: Receive in-vehicle safety signals through the analysis module, process the in-vehicle safety signals to obtain the characteristics of living beings inside the vehicle, and send the characteristics of living beings inside the vehicle to the control module. Step S130: Receive in-vehicle safety signals and in-vehicle life characteristics through the control module; determine whether there are living beings in the vehicle and whether the in-vehicle environment exceeds a preset safety threshold based on the in-vehicle safety signals; obtain safety identification results; generate control signals based on the safety identification results and in-vehicle life characteristics; and send the control signals to the execution module. Step S140: Receive control signals through the execution module and perform graded emergency operations according to the control signals.

[0053] The in-vehicle living body safety emergency response method provided by the embodiments of the present application can implement each process of the in-vehicle living body safety emergency response system corresponding to the embodiment 1, and achieve the same technical effects. To avoid repetition, the same will not be repeated here.

[0054] The embodiments of the present application also provide a vehicle. For details, please refer to Figure 3 , Figure 3 The structure schematic diagram of the vehicle provided by the embodiments of the present application. The vehicle can include: The memory 301, the processor 302 and the computer program stored in the memory 301 and executable on the processor 302.

[0055] The processor 302 implements the local path planning method of the autonomous vehicle provided in the above embodiments when executing the program.

[0056] Further, the electronic device further includes: The communication interface 303 is used for communication between the memory 301 and the processor 302.

[0057] The memory 301 is used for storing the computer program executable on the processor 302.

[0058] The memory 301 can include a high-speed RAM memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0059] If the memory 301, the processor 302 and the communication interface 303 are independently implemented, the communication interface 303, the memory 301 and the processor 302 can be connected to each other through a bus and complete the communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 In the figure, only one thick line is used to represent, but it does not mean that there is only one bus or one type of bus.

[0060] Optionally, in specific implementation, if the memory 301, the processor 302 and the communication interface 303 are integrated on a chip, the memory 301, the processor 302 and the communication interface 303 can complete the communication between them through an internal interface.

[0061] The processor 302 can be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement one or more embodiments of the present application.

[0062] The embodiment further provides a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the steps of the in-vehicle living body safety emergency response method in the embodiment.

[0063] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented by other manners. The system embodiments described above are only schematic, for example, the flow charts and block diagrams in the drawings show the possible implementation architectures, functions and operations of the system, method and computer program product according to the embodiments of the present application. In this regard, each block in the flow charts or block diagrams can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logic function. It should also be noted that, in alternative implementation manners, the functions noted in the blocks can also occur in different orders from that noted in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can also be executed in reverse order, depending on the functions involved. It should also be noted that each block in the structural diagram and / or flow chart, and the combination of blocks in the structural diagram and / or flow chart, can be implemented by a dedicated hardware-based system for implementing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0064] In addition, each functional module or unit in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0065] If the functions are implemented in the form of software function modules and sold or used as independent products, the functions can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium can be a non-volatile storage medium or a volatile storage medium, for example, the storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0066] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. An in-vehicle live-body safety emergency response system, characterized in that, The system includes a data acquisition module, an analysis module, a control module, and an execution module; The acquisition module is used to acquire the vehicle's in-vehicle safety signal when the vehicle meets the preset triggering conditions, and send the in-vehicle safety signal to the analysis module and the control module; The analysis module is used to receive the in-vehicle safety signal, process the in-vehicle safety signal, obtain the characteristics of the living beings in the vehicle, and send the characteristics of the living beings in the vehicle to the control module. The control module is used to receive the in-vehicle safety signal and the characteristics of the living beings in the vehicle, determine whether there are living beings in the vehicle and whether the in-vehicle environment exceeds a preset safety threshold based on the in-vehicle safety signal, obtain a safety identification result, generate a control signal based on the safety identification result and the characteristics of the living beings in the vehicle, and send the control signal to the execution module. The execution module is used to receive the control signal and perform graded emergency operations according to the control signal.

2. The in-vehicle live-body safety emergency response system according to claim 1, characterized in that, The acquisition module includes millimeter-wave radar, carbon dioxide sensor, temperature sensor, dust sensor and humidity sensor. The in-vehicle safety signals include in-vehicle life signals and in-vehicle environmental parameter signals. The in-vehicle life signals include in-vehicle micro-motion signals. The in-vehicle environmental parameter signals include in-vehicle carbon dioxide concentration signals, in-vehicle temperature signals, in-vehicle dust concentration signals and in-vehicle humidity signals. The millimeter-wave radar is used to collect micro-motion signals inside the vehicle. The carbon dioxide sensor is used to collect the carbon dioxide concentration signal inside the vehicle. The temperature sensor is used to collect the interior temperature signal of the vehicle. The dust sensor is used to collect the dust concentration signal inside the vehicle. The humidity sensor is used to collect the humidity signal inside the vehicle.

3. The in-vehicle live-body safety emergency response system according to claim 1, characterized in that, The analysis module includes a preprocessing unit; The preprocessing unit is used to receive the in-vehicle safety signal, filter the in-vehicle safety signal, and obtain the filtered in-vehicle safety signal. The preprocessing unit is also used to amplify the filtered in-vehicle safety signal to obtain an amplified in-vehicle safety signal. The preprocessing unit is also used to convert the amplified in-vehicle safety signal into a standardized digital signal to obtain a preprocessed in-vehicle safety signal.

4. The in-vehicle live-body safety emergency response system according to claim 3, characterized in that, The analysis module also includes a feature extraction unit; The feature extraction unit is used to determine the micro-motion frequency and body shape contour of the living beings inside the vehicle based on the preprocessed in-vehicle safety signals. The feature extraction unit is also used to use a pre-trained lightweight convolutional neural network model to identify the type of the living organism inside the vehicle based on the micro-motion frequency and the body shape contour, and to obtain the type of living organism. The feature extraction unit is also used to integrate the life form type, the micro-motion frequency, and the body shape contour into the in-vehicle life form features, and send the in-vehicle life form features to the control module.

5. The in-vehicle live-body safety emergency response system according to claim 2, characterized in that, The control module includes a determination unit; The determination unit is used to receive the in-vehicle safety signal and the characteristics of the living organism in the vehicle, and combine the rate of change of the micro-motion signal and the carbon dioxide concentration signal in the in-vehicle safety signal within a preset time period to determine whether there is a living organism in the vehicle. The determination unit is also used to determine whether the in-vehicle temperature signals collected for a preset number of consecutive preset times exceed the preset safety threshold if there is a living person in the vehicle. If so, a timer is started to generate a continuous exceeding time. The determination unit is further configured to determine whether the duration of continuous exceedance exceeds a first preset response time threshold. If so, it generates a warning message and pushes the warning message to the user terminal. It also determines whether the duration of continuous exceedance exceeds a second preset response time threshold. If so, it generates a corresponding control signal based on the life form type in the in-vehicle life form characteristics. The warning message includes the in-vehicle safety signal, the life form type, and the vehicle's location. The first preset response time threshold is less than the second preset response time threshold.

6. The in-vehicle live-body safety emergency response system according to claim 5, characterized in that, The execution module includes a hierarchical operation unit; The hierarchical operation unit is used to receive the control signal and execute the corresponding window control operation according to the life type in the characteristics of the life form inside the vehicle; The hierarchical operation unit is also used to perform corresponding audible and visual alarm operations based on the type of life form in the characteristics of the life form inside the vehicle. The hierarchical operation unit is also used to execute corresponding emergency call operations to the user terminal or emergency rescue platform according to the life type in the characteristics of the life in the vehicle.

7. The in-vehicle live-body safety emergency response system according to claim 6, characterized in that, The data acquisition module also includes a rainfall sensor, and the execution module also includes a progress tracking unit; The progress tracking unit is used to stop or cancel the window control operation if the rain sensor detects rain outside the vehicle before the window control operation is performed. The progress tracking unit is also used to monitor the battery power of the vehicle in real time. When the battery power is lower than a preset low power threshold, the window control operation and the audible and visual alarm operation are stopped. The progress tracking unit is also used to receive the dynamic location and estimated arrival time fed back by the emergency rescue platform in real time, and push the dynamic location and estimated arrival time to the user terminal; The progress tracking unit is also used to generate a one-time temporary digital unlocking code with a preset validity period through a preset communication platform, push the one-time temporary digital unlocking code to the rescuer's terminal, and record the rescuer's terminal's identity ID and unlocking time; The progress tracking unit is also used to detect whether there are still living people inside the vehicle and the status of the doors being open through the acquisition module. After confirming that the living people have left and the doors are closed, it stops the window control operation and the sound and light alarm operation, pushes a rescue completion notification to the user terminal, and generates a corresponding safety log.

8. A method for emergency response to live objects inside a vehicle, characterized in that, Applied to the in-vehicle liveness safety emergency response system as described in any one of claims 1-7, the system includes a data acquisition module, an analysis module, a control module, and an execution module, and the method includes: When the vehicle meets the preset triggering conditions, the acquisition module acquires the vehicle's in-vehicle safety signal and sends the in-vehicle safety signal to the analysis module and the control module. The analysis module receives the in-vehicle safety signal, processes the in-vehicle safety signal to obtain the characteristics of the living beings inside the vehicle, and sends the characteristics of the living beings inside the vehicle to the control module. The control module receives the in-vehicle safety signal and the characteristics of the living beings in the vehicle. Based on the in-vehicle safety signal, it determines whether there are living beings in the vehicle and whether the in-vehicle environment exceeds a preset safety threshold, obtains a safety identification result, generates a control signal based on the safety identification result and the characteristics of the living beings in the vehicle, and sends the control signal to the execution module. The execution module receives the control signal and performs graded emergency operations according to the control signal.

9. A vehicle, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the in-vehicle living safety emergency response method of claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the in-vehicle living safety emergency response method of claim 8.

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