Intelligent control glass blasting escape system

Abstract

The invention relates to the technical field of automobile safety, and aims at solving the problems that an existing glass blasting escape device is prone to losing efficacy in a water flooding scene and is insufficient in escape guide. The invention provides an intelligent control glass blasting escape system. The system integrates a multi-source fusion sensing unit, an intelligent decision-making unit, a directional blasting execution unit and a water pressure cooperation module. A vehicle state is monitored in real time through a water pressure sensor, a collision sensor, a vehicle door deformation sensor and an environment camera, a vehicle window escape priority score is calculated by utilizing an embedded neural network model, and an air film isolation layer is rapidly formed before blasting in combination with a water pressure cooperation module to offset external water pressure, so that efficient and accurate glass blasting is realized. Meanwhile, a passenger position and a directional sound wave warning indicator are introduced into the system, the escape guiding function is optimized, and the practicability in the panic environment is improved.

Description

Technical Field

[0001] This invention relates to the field of automotive safety technology, specifically to an intelligent control system for escaping glass explosions. Background Technology

[0002] As a crucial component of vehicle safety, automotive glass-breaking escape devices have seen increasing inventions and innovations in recent years thanks to continuous technological advancements. However, existing technologies still have significant shortcomings in specific complex scenarios, particularly regarding escape efficiency and reliability in extreme situations such as vehicle flooding, issues that urgently need to be addressed.

[0003] Traditional automotive glass breaker devices, such as the invention with patent number CN103287377A, primarily rely on the driver or passenger manually operating a power switch to activate the detonation module. While these devices improve the possibility of escape to some extent, they still have many limitations. First, the requirement for manual operation in emergencies can lead to passengers being unable to quickly locate and operate the detonator due to panic, obstructed vision, or an unsuitable device location, thus delaying precious escape opportunities. Second, existing technologies lack the ability to automatically sense and intelligently assess dangerous vehicle conditions, and cannot automatically trigger the detonation at the moment of an accident. For example, when a vehicle falls into water, catches fire, or overturns, passengers may miss their chance to escape due to impaired consciousness or inability to reach the detonator. Furthermore, existing technologies focus more on how to quickly break the glass, failing to adequately consider how to guide passengers to escape efficiently and correctly, especially when occupants are confused due to panic, making existing systems ineffective. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides an intelligent control system for escaping glass explosions, which solves the problems mentioned in the background section.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control glass explosion escape system, comprising:

[0008] The multi-source fusion sensing unit consists of a water pressure sensor, a collision sensor, a door deformation sensor, and an environmental camera. The water pressure sensor detects the immersion depth, water flow direction, and pressure gradient; the collision sensor collects collision acceleration signals and rollover angular velocity; the door deformation sensor monitors the deformation and displacement of the door frame; and the environmental camera identifies the distribution and sharpness of external obstacles.

[0009] The intelligent decision-making unit calculates the priority score for vehicle window escape based on an embedded neural network model. The scoring parameters include: water pressure adsorption force (water pressure sensor data), obstacle occlusion rate (percentage of occlusion in the camera recognition area), and window failure time (critical time for glass pressure resistance predicted by the immersion rate).

[0010] The directional blasting execution unit triggers the piezoelectric ceramic blaster on the target vehicle window, with adjustable energy output;

[0011] The water pressure coordination module injects high-pressure inert gas microbubbles into the sealing gaps of the car window through a micro air pump, forming an air film isolation layer within 10ms.

[0012] Preferably, the neural network model includes a temporal convolution module and an attention mechanism module, wherein the attention mechanism is configured according to the formula... Calculate the obstacle risk weight, where D (unit: meters) is the distance between the obstacle and the window, and S is the mean gradient of the pixel at the contour edge (unit: gray value / pixel), ∈ [0.01, 0.1].

[0013] Preferably, the gas microbubble nozzle is provided with an annular array of injection holes with a diameter of 0.1-0.3 mm and a hole spacing of ≤0.5 mm. The micro gas pump forms a continuous gas film within 5-10 ms using high-pressure helium gas. The curvature radius R of the gas microbubble nozzle is 3-8 mm to match the window frame.

[0014] Preferably, the electrode layer (305) of the piezoelectric ceramic rupture device (302) is encapsulated with aluminum nitride ceramic (thickness 0.2-0.5mm, dielectric constant > 8.5, insulation resistance > 100MΩ within a 20m water depth); the inner wall of the flow channel of the gas microbubble nozzle (404) is covered with a polytetrafluoroethylene hydrophobic coating (contact angle > 110°, flow channel resistance coefficient < 0.05).

[0015] Preferably, the intelligent decision-making unit incorporates the occupant's location and locates the occupant's location using an in-vehicle infrared sensor (105). When the priority score of the window where the occupant is located is lower than that of other windows, a directional sound wave warning device (106) is activated to guide the occupant to move to the high-scoring window area. If the occupant does not move to the high-scoring window area within a set time (≤5 seconds), the directional explosion of the window where the occupant is located is activated, and the explosion energy is simultaneously increased to 120% of the baseline value, prioritizing the explosion of the window closest to the occupant and with the highest priority score.

[0016] Preferably, the energy output value E of the piezoelectric ceramic rupture device (302) satisfies:

[0017]

[0018] Where E0 is the glass breakage energy threshold under static water pressure; ΔP is the real-time pressure fluctuation amplitude detected by the water pressure sensor; ρ is the water density, g is the gravitational acceleration, H is the immersion depth; and β is the turbulence compensation coefficient (0.8≤β≤1.5).

[0019] Preferably, when the collision sensor (102) detects a rollover signal, the gas injection is delayed until the vehicle body comes to a standstill.

[0020] Preferably, the system is designed specifically for passenger cars and commercial vehicles.

[0021] (III) Beneficial Effects

[0022] This invention provides an intelligent control system for escaping glass explosions, which has the following advantages:

[0023] 1. This invention effectively solves the problem of explosion failure in flooded scenarios by integrating a water pressure sensor and a water pressure coordination module. The water pressure coordination module uses a miniature air pump to inject high-pressure inert gas microbubbles into the sealed gaps of the car window, forming an air film isolation layer within 10 milliseconds, significantly counteracting the adsorption force of external water pressure on the glass. This innovation not only reduces the energy required for explosion but also significantly improves the success rate of explosion, ensuring reliable operation of the system in complex flooded scenarios and quickly opening an escape route for passengers.

[0024] 2. Building upon the explosive function, this invention further incorporates in-vehicle infrared sensors and directional acoustic warning devices to construct a comprehensive intelligent escape guidance system. By real-time location tracking of occupants and combining it with escape priority scoring via vehicle windows, the system can accurately guide passengers to the optimal escape exit. If passengers fail to respond to the guidance in a timely manner, the system will automatically amplify the explosive energy in that area and initiate directional explosives to ensure unobstructed escape routes. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0026] 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.

[0027] Example:

[0028] like Figure 1As shown, this embodiment of the invention provides an intelligent control glass explosion escape system, including a multi-source fusion sensing unit, an intelligent decision-making unit, a directional blasting execution unit, and a water pressure coordination module.

[0029] The multi-source fusion sensing unit integrates a water pressure sensor, a collision sensor, a door deformation sensor, an environmental camera, and an in-vehicle infrared sensor. The water pressure sensor is installed on the bottom of the vehicle and around the windows to monitor the vehicle's immersion depth, water flow direction, and pressure gradient in real time. Collision sensors are distributed on the front and rear bumpers and the four corners of the vehicle to sense the intensity and direction of collisions. Door deformation sensors are installed on the inner edge of each door to monitor the degree of door deformation upon impact. The environmental camera is positioned on the exterior rearview mirrors and the rear of the vehicle to identify the distribution and type of external obstacles. The in-vehicle infrared sensor is installed on the roof inside the vehicle to locate the position of the occupants. All sensors are connected to the control module via shielded cables to ensure stable signal transmission and interference resistance. The water pressure sensor uses a high-precision piezoresistive design to convert water pressure changes into electrical signals. The collision sensor is based on the accelerometer principle and has adjustable sensitivity. The door deformation sensor uses strain gauges to sense deformation. The environmental camera has high-definition night vision capabilities and is equipped with image recognition algorithms. The in-vehicle infrared sensor uses infrared thermal imaging technology to accurately detect occupant positions even in harsh environments.

[0030] The intelligent decision-making unit's hardware architecture comprises an embedded neural network processor, a temporal convolution module, an attention mechanism module, and a vehicle state data fusion module. The embedded neural network processor, equipped with a high-performance AI chip, can process multi-source perception data in real time. The temporal convolution module specifically processes continuous pressure data from the water pressure sensor, extracting time-series features; the attention mechanism module calculates risk weights based on obstacle distance and contours; and the vehicle state data fusion module integrates CAN bus data to deepen vehicle state perception. The software algorithm, based on a deep learning framework and trained on massive accident scenario data, can accurately identify hazards and command detonation. The temporal convolution module extracts pressure signal features, and the attention mechanism module quantifies obstacle risk; the two work together to assist the neural network in accurate assessment.

[0031] The directional blasting execution unit includes a piezoelectric ceramic blaster and an energy regulation module. The blaster is embedded in the edge of the vehicle window, with its electrode layer encapsulated in aluminum nitride ceramic, 0.2-0.5 mm thick, with a dielectric constant >8.5 and an insulation resistance >100 MΩ at a water depth of 20 m. The energy regulation module dynamically adjusts the blasting energy according to commands to adapt to different hazardous scenarios, using the following formula: It involves the precise adjustment of blasting energy. The energy adjustment module cleverly combines real-time pressure fluctuations and preset physical parameters to achieve precise control of blasting energy.

[0032] The water pressure coordination module consists of a miniature air pump and gas microbubble nozzles. The miniature air pump is housed in a waterproof compartment and uses helium as the medium. The nozzles are located in a ring array at the sealed gaps along the edge of the vehicle window, with orifice diameters of 0.1-0.3 mm and orifice spacing ≤0.5 mm. Upon receiving the detonation command, the miniature air pump rapidly injects helium microbubbles through the nozzles, forming a gas film within 5-10 ms, thus weakening the external water pressure. The principle is to utilize the gas film effect, allowing gas microbubbles to cover the sealed gaps to alter the pressure balance, thereby reducing the energy required for detonation. The miniature air pump is driven by a brushless motor to ensure rapid helium supply; the inner wall of the nozzles is coated with polytetrafluoroethylene (PTFE), with a contact angle >110°, reducing injection resistance, preventing nozzle blockage, and ensuring smooth gas ejection.

[0033] To enhance escape success rates, the system integrates occupant guidance and failure response functions. Infrared sensors inside the vehicle locate occupants in real time, while an intelligent decision-making unit assesses window priority. When an occupant is in a non-optimal window area, a directional acoustic warning device issues a guidance signal, helping the occupant quickly move to a safe exit. If the occupant fails to respond in time, the system immediately amplifies the explosive energy in that area, ensuring unobstructed escape routes. When working collaboratively, each module performs its specific function, working closely together to build a comprehensive safety net for passengers.

[0034] For extreme scenarios, the system is equipped with a dynamic delayed trigger function. The collision sensor detects vehicle rollover, and the vehicle motion module immediately monitors and analyzes the vehicle's dynamics. Based on the motion data, the delay control module intelligently determines the delay trigger duration, ensuring the precise activation of the water pressure coordination module. Even in the event of a violent rollover, the system can accurately capture the moment of stillness, ensuring effective injection of gas microbubbles and improving the success rate of the explosion.

[0035] Through close collaboration among its modules, this invention enables real-time monitoring of dangerous vehicle conditions, intelligent decision-making, precise demolition, and effective escape guidance, thereby comprehensively improving vehicle escape efficiency and passenger safety.

[0036] Example 2

[0037] This system can also be configured in commercial vehicles such as large buses or school buses. It has been specifically optimized for their large passenger capacity and large window area. Multiple wide-angle infrared sensors are installed on the roof of the vehicle to ensure accurate location of each passenger. Laser rangefinders are also added to each window outside the vehicle, enabling reliable obstacle detection even in murky water.

[0038] The system adopts a master-slave distributed processing architecture. Each window has an independent slave processor responsible for calculating the local escape priority and reporting the results to the central master processor for final decision-making. This greatly improves the efficiency and reliability of multi-objective decision-making.

[0039] Its guidance strategy is more intelligent. After determining the optimal escape window, the system will not only activate the directional sound warning device, but also issue voice commands through the in-vehicle broadcast and control the LED lighting system to flash and illuminate the path to the target window, forming a comprehensive guidance system combining sight and sound. The system will continuously monitor the movement of occupants, and if there are not enough people gathered in the target area, it will intelligently activate the backup plan, prioritizing the breaking of windows where occupants are more concentrated, in order to achieve rapid collective evacuation.

[0040] Given the larger windows of commercial vehicles, their water pressure coordination module employs a redundant design with dual air pumps and dual air supply lines. In the event of a primary system failure, the backup system can immediately activate, ensuring the reliability of the air-film isolation layer. Simultaneously, the rupture device has a higher baseline energy threshold and a wider energy adjustment range to cope with the thicker glass and more severe vehicle body sway in commercial vehicles. This embodiment, through enhanced configuration and crowd guidance strategies, ensures efficient and orderly multi-occupant escape in complex situations.

[0041] 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. An intelligent control system for escaping glass explosions, characterized in that, include: The multi-source fusion sensing unit consists of a water pressure sensor, a collision sensor, a door deformation sensor, and an environmental camera; The intelligent decision-making unit calculates the priority score of the car window escape based on the embedded neural network model. The scoring parameters include: water pressure adsorption force, obstacle obstruction rate and car window failure time. The directional blasting execution unit triggers the piezoelectric ceramic blaster on the target vehicle window, with adjustable energy output; The water pressure coordination module injects high-pressure inert gas microbubbles into the sealing gaps of the car window through a micro air pump, forming an air film isolation layer within 10ms.

2. The intelligent control glass explosion escape system according to claim 1, characterized in that: The neural network model includes a temporal convolution module and an attention mechanism module, the attention mechanism being configured according to the formula... Calculate the obstacle risk weight, where D is the distance between the obstacle and the window, and S is the mean gradient of the pixel at the contour edge, ∈ [0.01, 0.1].

3. The intelligent control glass explosion escape system according to claim 1, characterized in that: The gas microbubble nozzle is equipped with an annular array of injection holes with a diameter of 0.1-0.3 mm and a hole spacing of ≤0.5 mm. The micro gas pump forms a continuous gas film within 5-10 ms using high-pressure helium gas.

4. The intelligent control glass explosion escape system according to claim 1, characterized in that: The electrode layer of the piezoelectric ceramic rupture device is encapsulated with aluminum nitride ceramic; the inner wall of the gas microbubble nozzle flow channel is covered with a polytetrafluoroethylene hydrophobic coating.

5. The intelligent control glass explosion escape system according to claim 1, characterized in that: The intelligent decision-making unit incorporates the occupant's location and uses in-vehicle infrared sensors to locate the occupant's position. When the priority score of the window where the occupant is located is lower than that of other windows, a directional sound wave warning is activated to guide the occupant to move to the high-scoring window area. If the occupant does not move to the high-scoring window area within the set time, the directional explosion of the window where the occupant is located is activated, and the explosion energy is simultaneously increased to 120% of the baseline value, prioritizing the explosion of the window closest to the occupant and with the highest priority score.

6. The intelligent control glass explosion escape system according to claim 1, characterized in that: The energy output value E of the piezoelectric ceramic rupture device (302) satisfies: Where E0 is the glass breakage energy threshold under static water pressure; ΔP is the real-time pressure fluctuation amplitude detected by the water pressure sensor; ρ is the water density, g is the gravitational acceleration, H is the immersion depth; and β is the turbulence compensation coefficient (0.8≤β≤1.5).

7. The intelligent control glass explosion escape system according to claim 1, characterized in that: When the collision sensor detects a rollover signal, it delays the injection of gas until the vehicle body comes to a standstill.

8. A smart control glass explosion escape system as described in any one of claims 1-7, characterized in that: The system is designed specifically for passenger cars and commercial vehicles.

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