Glass blasting danger sensing control system and control method thereof

Abstract

The invention relates to the technical field of automobile safety, in particular to a glass blasting danger sensing control system and a control method thereof. The system comprises a sensing module, a control module and a blasting module. The sensing module integrates a collision sensor, a water pressure sensor, a smoke sensor and a vehicle door deformation pressure sensor, monitors the vehicle state in real time and generates a signal. The control module receives and processes the signal, and judges whether to send a blasting instruction based on the composite trigger logic. And the blasting module comprises an energy source and a blasting device, is adaptively mounted in a weak area of the glass, and can quickly break the glass in an emergency. Through cooperative sensing and intelligent decision making of multiple sensors, the automatic blasting function is achieved, the problems that in the prior art, manual operation is delayed, automatic sensing and intelligent judgment are lacked, the blasting position is limited, and the system reliability is insufficient are solved, and the vehicle escape efficiency and the passenger survival probability are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of automotive safety technology, specifically to a glass breakage hazard perception and control system and its control method. Background Technology

[0002] As a crucial safety escape device, the car glass breaker can quickly create an escape route for passengers in emergencies. In the prior art, patent number CN103287377A discloses a technical solution for a car glass breaker, the working principle of which is as follows: The breaker mainly includes a power module, a control module, and a breaker module. The power module is directly drawn from the car battery, without any fuses, to avoid the inability to initiate the explosion due to circuit system failure. The control module is divided into a driver control module and a backup control module at the rear of the passenger compartment, which are connected in parallel to ensure that passengers can still initiate the explosion through the backup control module at the rear of the passenger compartment if the driver is unable to operate the device. The breaker module generally consists of an electromagnetic ejector and a pin, installed in one corner of the window. A slider drives the pin to break the glass. The number of breaker modules is usually 4-6, connected in parallel to achieve multi-point explosion.

[0003] However, this technology has several drawbacks. First, it relies heavily on manual operation; the driver or passengers must manually open the protective cover of the control module and press the power switch to activate the explosive. In emergencies, passengers may struggle to locate and operate the explosive due to panic, obstructed vision, or an unsuitable device location, delaying escape. Second, the technology lacks the ability to automatically sense and intelligently assess dangerous vehicle conditions, failing to automatically trigger the explosive at the moment of an accident. For example, if the vehicle falls into water, catches fire, or overturns, passengers may miss their chance to escape due to disorientation or inability to reach the explosive. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a glass explosion hazard perception and control system and its control method, which solves the problems mentioned in the background art.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solution: a glass shattering hazard perception and control system and its control method, comprising a perception module, a control module and a shattering module, wherein the perception module integrates a collision sensor, a water pressure sensor, a smoke sensor and a door deformation pressure sensor, for monitoring the vehicle's collision, water immersion, smoke conditions and door deformation pressure, and generating corresponding signals;

[0008] The control module is electrically connected to each sensor, receives and processes signals from the collision sensor, water pressure sensor, smoke sensor and door deformation pressure sensor, and determines whether to issue a demolition command based on a preset composite trigger logic.

[0009] The blasting module includes an energy source and a blasting device. The blasting device is adapted to be installed in a weak area of ​​the glass, and the energy source supplies power to trigger the glass to break.

[0010] Preferably, the composite triggering logic includes at least one of the following triggering scenarios: the collision sensor signal and the door deformation pressure sensor signal are both valid, and the vehicle rollover sensor or gyroscope detects a vehicle rollover state, wherein an abnormal pressure change is defined as a pressure change rate ≥ 5 kPa / s, and the minor collision threshold is an acceleration ≤ 3g; the smoke / high temperature sensor signal is valid, and the door deformation pressure sensor signal corresponding to a specific door is abnormal, and the passenger compartment pressure sensor detects an abnormal pressure change; the door deformation pressure sensor signal corresponding to a specific door is abnormal, and the door lock status sensor detects an abnormal lock status, and the collision sensor detects a signal exceeding a preset minor collision threshold; when multiple triggering scenarios are met simultaneously, they are executed according to the following priority: a) vehicle rollover state scenario > b) water immersion / fire scenario > c) door jamming scenario.

[0011] Preferably, the control module has preset intensity thresholds, duration thresholds, and rate of change thresholds for each sensor signal; the control module is configured to determine the accident type based on the sensor signal exceeding the corresponding threshold and in conjunction with a pre-stored accident pattern recognition algorithm, and can identify and filter out interference signals such as vibration, door closing impact, and ambient smoke during normal driving.

[0012] Preferably, the system has a self-test function, performing periodic self-tests during startup and operation to diagnose the status of sensors, energy sources, and control circuits, and issuing alarms when faults are detected. The system has a redundancy design, including sensor redundancy, control unit redundancy, energy source redundancy, communication redundancy, independent power supply, and mechanical backup triggering. The sensor redundancy is reflected in the deployment of at least two collision sensors at each window position, belonging to different power supply circuits. The water pressure sensor redundancy is configured as a dual-probe differential detection circuit, and the smoke sensor uses infrared / ionization dual-mode detection. The self-test function includes an OBD-II standard fault code output interface, with the fault code mapping relationship as follows: P1888 - sensor failure, P1889 - energy source abnormality, P1890 - communication interruption.

[0013] Preferably, the control module is communicatively connected to the vehicle's CAN bus and configured to receive vehicle status data (such as vehicle speed, acceleration, airbag status, door lock status, and vehicle tilt angle); the control module is configured to fuse and process data from the vehicle's CAN bus and signals from the collision sensor, water pressure sensor, smoke sensor, and door deformation pressure sensor to comprehensively determine dangerous situations; the control module includes or accesses a random forest-based decision algorithm, with input features including the time-domain variance of sensor signals and the CAN bus data dispersion; the time-domain variance is calculated using a sliding window standard deviation with a window width of 200ms; the CAN bus data dispersion is quantized using Shannon entropy of the frequency of message ID occurrence.

[0014] Preferably, each component of the system meets current and valid automotive-grade environmental testing and electromagnetic compatibility standards, including but not limited to ISO16750, ISO20653, ISO11452 and ISO7637 series; the key components (such as control modules, sensor interfaces, and energy sources) adopt materials and sealing designs that meet the long-term reliability requirements of the automotive industry to ensure stable performance throughout the vehicle's entire life cycle.

[0015] A method for sensing and controlling glass shattering hazards, applied to the glass shattering hazard sensing and control system described in claim 1, includes the following steps:

[0016] Step 1: Real-time acquisition of multi-source sensor signals and CAN bus data;

[0017] Step 2: Perform time-domain variance analysis on the sensor signals and calculate the Shannon entropy on the CAN data;

[0018] Step 3: Input the processed features into the random forest model and output the probability of the accident mode;

[0019] Step 4: Activate the burst attack when the composite triggering logic meets the conditions and the probability is >85%;

[0020] Step 5: Implement the escape guidance protocol after the explosion.

[0021] Preferably, the energy source, through its explosive structure combined with the firing of sharp particles and the acceleration gap, can simulate the structure of a bullet being fired, rapidly and efficiently delivering a high-intensity impact to the vehicle window glass, thereby achieving the effect of stably shattering the vehicle window glass.

[0022] (III) Beneficial Effects

[0023] This invention provides a glass explosion hazard detection and control system and its control method, which have the following beneficial effects:

[0024] 1. This invention integrates multiple sensors to monitor various dangerous conditions of a vehicle in real time. Compared to traditional explosive devices that rely on manual operation, the control system of this invention can automatically detect accidents such as collisions, flooding, and fires, and intelligently analyze and judge them through composite triggering logic in the control module. When preset triggering conditions are met, the system can automatically activate the explosive module without manual intervention, effectively solving the problem of delayed escape opportunities caused by manual operation in existing technologies.

[0025] 2. This invention features comprehensive self-testing capabilities and redundant design, ensuring high system reliability and stability. During startup and operation, the system periodically performs self-tests on critical components such as sensors, energy sources, and control circuits, promptly issuing alarms upon detecting any faults. Furthermore, the system employs multiple redundancy measures, including sensor redundancy, control unit redundancy, energy source redundancy, and communication redundancy, ensuring continued normal operation even if some components fail. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Example 1:

[0029] like Figure 1 As shown, this embodiment of the invention provides a glass breakage hazard perception and control system, including a perception module, a control module, and a breakage module. The perception module integrates multiple sensors, including a collision sensor, a water pressure sensor, a smoke sensor, and a door deformation pressure sensor, for comprehensive monitoring of the vehicle's status. The control module is electrically connected to each sensor, responsible for receiving and processing sensor signals, and determining whether to issue a breakage command based on a preset composite triggering logic. The breakage module includes an energy source and a breakage device. The breakage device is adaptively installed in a weak area of ​​the glass (such as a circular hole or edge), and the energy source powers it to trigger glass breakage. In this embodiment, all components of the system are selected from products that meet current valid automotive-grade environmental testing and electromagnetic compatibility standards, ensuring stable performance throughout the vehicle's entire lifecycle.

[0030] The specific layout of the sensing module on the vehicle is as follows:

[0031] The vehicle is equipped with ten collision sensors, located on the front and rear bumpers, the inside of the four doors, and the four corners of the vehicle. These sensors are used to monitor collisions at different locations in real time. Their sensitivity is adjustable and they can distinguish between minor scratches and severe collisions.

[0032] Five water pressure sensors are installed at the four corners of the vehicle chassis and in areas where water may enter the vehicle (such as the lower edge of the doors and the bottom of the engine compartment). When the vehicle falls into water or the water depth exceeds the set threshold, the water pressure sensors can quickly sense and generate a signal.

[0033] Four smoke sensors are evenly distributed around the top of the vehicle to monitor the smoke concentration in the cabin in real time and can issue an alarm in time when the smoke concentration reaches a preset danger value.

[0034] Door deformation pressure sensors are installed on the inner edge of each door to detect changes in door deformation pressure when the door is impacted. Once the door deformation pressure exceeds a preset value, it indicates that the door may be stuck and needs to be broken open in time for escape.

[0035] Each sensor is connected to the control module via a shielded cable to ensure the stability and interference resistance of signal transmission.

[0036] The control module mainly includes a microprocessor, signal conditioning circuit, storage unit, communication interface, and power management unit. The microprocessor is an ARM Cortex-A processor. The signal conditioning circuit amplifies, filters, and performs analog-to-digital conversion on the raw signals output from the sensors, converting analog signals into digital signals recognizable by the microprocessor to ensure signal accuracy and reliability. The storage unit includes flash memory and SDRAM. Flash memory stores the control program, accident mode recognition algorithm, and preset parameters such as sensor signal strength thresholds, duration thresholds, and rate of change thresholds. SDRAM temporarily stores real-time processed data to ensure smooth system operation. The communication interface includes CAN bus, LIN bus, and FlexRay bus interfaces, enabling communication with various electronic control units in the vehicle to receive vehicle status data such as vehicle speed, acceleration, airbag status, door lock status, and vehicle tilt angle. The power management unit converts the vehicle's power supply (12V or 24V) into various power supplies required by the control module (such as 3.3V, 5V, etc.) and has overvoltage, undervoltage, and overcurrent protection functions to ensure a stable power supply for the control module.

[0037] Example 2:

[0038] This invention provides a method for sensing and controlling the risk of glass breakage, applied to the glass breakage risk sensing and control system of Embodiment 1. The specific steps are as follows:

[0039] Step 1: Real-time acquisition of multi-source sensor signals and CAN bus data. The control module synchronously acquires signals from the collision sensor, water pressure sensor, smoke sensor, and door deformation pressure sensor, as well as CAN bus data such as vehicle speed, acceleration, airbag status, door lock status, and vehicle tilt angle through the various sensor interfaces and the CAN bus interface. The acquisition frequency can be adjusted according to actual needs, generally once every 10ms-100ms.

[0040] Step 2: Perform time-domain variance analysis on the sensor signals and calculate Shannon entropy on the CAN data. The control module uses a preset data processing algorithm to calculate the time-domain variance of the acquired sensor signals, reflecting the fluctuation amplitude and stability of the signals; and calculates Shannon entropy on the CAN bus data to quantify the dispersion of the data and assess the complexity and anomaly of the vehicle status.

[0041] Step 3: Input the processed features into the random forest model and output the accident mode probability. The temporal variance, Shannon entropy, and other relevant features are used as input variables and fed into the accident mode recognition model trained based on the random forest algorithm. This model can evaluate the probability of various accident modes (such as frontal collision, side collision, rear-end collision, rollover, water immersion, fire, etc.) and output the probability value of each accident mode.

[0042] Step 4: Activate the blasting when the composite triggering logic meets the preset conditions and the probability of the accident mode is >85%. The control module comprehensively judges the current sensor signals and vehicle status according to the preset composite triggering logic. If the triggering conditions are met and the probability of the accident mode exceeds 85%, a blasting command is immediately issued to trigger the blasting device in the blasting module to break the glass and open an escape route for passengers.

[0043] Step 5: Execute the escape guidance protocol after the blast. Following a successful blast, the system automatically activates the escape guidance function, including controlling the vehicle's interior lighting system to flash lights pointing towards the blast exit, playing voice escape instructions (such as "Escape through the left-side window, please leave the vehicle quickly!"), and releasing emergency lighting strips to guide passengers to escape quickly and orderly through the exit created by the blast. Simultaneously, the system will send a distress signal to the vehicle's emergency rescue center, providing crucial information such as the vehicle's location to facilitate timely external assistance.

[0044] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A glass shattering hazard detection and control system, comprising a sensing module, a control module, and a shattering module, characterized in that: The sensing module integrates a collision sensor, a water pressure sensor, a smoke sensor, and a door deformation pressure sensor to monitor the vehicle's collision, water immersion, smoke conditions, and door deformation pressure, and generates corresponding signals. The control module is electrically connected to each sensor, receives and processes signals from the collision sensor, water pressure sensor, smoke sensor and door deformation pressure sensor, and determines whether to issue a demolition command based on a preset composite trigger logic. The blasting module includes an energy source and a blasting device. The blasting device is adapted to be installed in a weak area of ​​the glass, and the energy source supplies power to trigger the glass to break.

2. The glass shattering hazard detection and control system according to claim 1, characterized in that, The composite triggering logic includes at least one of the following triggering scenarios: The collision sensor signal and the door deformation pressure sensor signal are both valid, and the vehicle rollover sensor or gyroscope detects a vehicle rollover state, where abnormal pressure change is defined as a pressure change rate ≥ 5 kPa / s, and the minor collision threshold is an acceleration ≤ 3g; The smoke / high temperature sensor signal is valid, and the door deformation pressure sensor signal corresponding to a specific door is abnormal, and the passenger compartment pressure sensor detects an abnormal pressure change; The door deformation pressure sensor signal corresponding to a specific door is abnormal, and the door lock status sensor detects an abnormal lock status, and the collision sensor detects a signal exceeding a preset minor collision threshold; When multiple triggering scenarios are met simultaneously, they are executed according to the following priority: a) Vehicle rollover state scenario > b) Water immersion / fire scenario > c) Door jamming scenario.

3. The glass explosion hazard detection and control system according to claim 1, characterized in that: The control module is preset with intensity threshold, duration threshold and rate of change threshold for each sensor signal; the control module is configured to determine the accident type based on the sensor signal exceeding the corresponding threshold and in combination with the pre-stored accident mode recognition algorithm, and can identify and filter out interference signals such as vibration, door closing impact and ambient smoke during normal driving.

4. The glass explosion hazard detection and control system according to claim 1, characterized in that: The system has a self-test function, performing periodic self-tests during startup and operation to diagnose the status of sensors, energy sources, and control circuits, and issuing alarms when faults are detected. The system has a redundant design, including sensor redundancy, control unit redundancy, energy source redundancy, communication redundancy, independent power supply, and mechanical backup triggering. The sensor redundancy is reflected in the deployment of at least two collision sensors at each window position, belonging to different power supply circuits. The water pressure sensor is redundantly configured with a dual-probe differential detection circuit, and the smoke sensor uses infrared / ionization dual-mode detection.

5. The glass shattering hazard detection and control system according to claim 1, characterized in that: The control module is communicatively connected to the vehicle's CAN bus and configured to receive vehicle status data. The control module is configured to fuse data from the vehicle's CAN bus with signals from the collision sensor, water pressure sensor, smoke sensor, and door deformation pressure sensor to comprehensively determine dangerous conditions. The control module includes or accesses a random forest-based decision algorithm, with input features including the time-domain variance of sensor signals and the CAN bus data dispersion. The time-domain variance is calculated using a sliding window standard deviation with a window width of 200ms. The CAN bus data dispersion is quantized using Shannon entropy based on the frequency of message ID occurrences.

6. The glass explosion hazard detection and control system according to claim 1, characterized in that: Each component of the system meets current and valid automotive-grade environmental testing and electromagnetic compatibility standards, including but not limited to ISO16750, ISO20653, ISO11452 and ISO7637 series; the key components (such as control modules, sensor interfaces, and energy sources) adopt materials and sealing designs that meet the long-term reliability requirements of the automotive industry, ensuring stable performance throughout the vehicle's entire life cycle.

7. A method for sensing and controlling the danger of glass explosion, applied to the glass explosion danger sensing and control system according to any one of claims 1-6, characterized in that, Includes the following steps; Step 1: Real-time acquisition of multi-source sensor signals and CAN bus data; Step 2: Perform time-domain variance analysis on the sensor signals and calculate the Shannon entropy on the CAN data; Step 3: Input the processed features into the random forest model and output the probability of the accident mode; Step 4: Activate the burst attack when the composite triggering logic satisfies the conditions of claim 2 and the probability is >85%; Step 5: Implement the escape guidance protocol after the explosion.

8. The glass explosion hazard perception and control system and its control method according to claim 1, characterized in that: The energy source, through its explosive structure combined with the firing of sharp particles and the acceleration gap, can simulate the structure of a bullet being fired, rapidly and efficiently delivering a high-intensity impact to the car window glass, achieving the effect of stably shattering the car window glass.

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