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CN-122014088-A - Intelligent control system and method for amphibious vehicle window and skylight

CN122014088ACN 122014088 ACN122014088 ACN 122014088ACN-122014088-A

Abstract

The invention discloses an intelligent control system and method for windows and skylights of amphibious vehicles, which relate to the technical field of intelligent control of vehicles, and are used for collecting vehicle state and environment information in real time, receiving the vehicle state and environment information, carrying out fusion analysis and decision, and outputting control instructions, wherein a central intelligent decision and control module comprises a data fusion and risk calculation sub-module, an intelligent decision logic sub-module and a control sub-module, the data fusion and risk calculation sub-module carries out comprehensive evaluation on the vehicle state and environment information by adopting a multi-sensor data fusion algorithm to obtain a comprehensive risk index, the intelligent decision logic sub-module carries out logic judgment according to the comprehensive risk index to trigger a safety response, and the control sub-module generates a corresponding control instruction according to the safety response, and an execution and driving module is used for receiving the control instructions and driving corresponding mechanical structure actions. When the water depth exceeds the safety threshold, the vehicle window closing program is automatically triggered, and the tightness of the carriage is ensured.

Inventors

  • DAI LIHONG
  • DENG WENBING

Assignees

  • 奇瑞汽车股份有限公司

Dates

Publication Date
20260512
Application Date
20260331

Claims (10)

  1. 1. An intelligent control system for windows and skylights of amphibious vehicles, comprising: The multi-source information sensing module is used for collecting the state and environment information of the vehicle in real time; The central intelligent decision and control module is used for receiving the vehicle state and the environment information, carrying out fusion analysis and decision and outputting a control instruction, and comprises a data fusion and risk calculation sub-module, an intelligent decision logic sub-module and a control sub-module, wherein the data fusion and risk calculation sub-module adopts a multi-sensor data fusion algorithm to comprehensively evaluate the vehicle state and the environment information to obtain a comprehensive risk index; and the execution and driving module is used for receiving the control instruction and driving the corresponding mechanical structure to act.
  2. 2. An amphibious vehicle window and sunroof intelligent control system according to claim 1 wherein the vehicle status and environmental information comprises vehicle body inclination angle data, power system fault level data, wading radar communication link status data and real time water depth data.
  3. 3. An amphibious vehicle window and sunroof intelligent control system according to claim 1, wherein the multi-sensor data fusion algorithm uses D-S evidence theory to calculate the integrated risk index based on the D-S evidence theory.
  4. 4. The intelligent control system for the windows and the skylights of the amphibious vehicle according to claim 1, wherein the logic judgment is performed according to the comprehensive risk index, and the triggering of the safety response is specifically that the vehicle is judged to face the wading risk when the comprehensive risk index is larger than or equal to a preset wading threshold value, the window closing instruction is triggered, and the vehicle is judged to enter a high risk emergency state when the comprehensive risk index is larger than or equal to a preset emergency threshold value, and the window closing instruction and the skylight opening instruction are triggered.
  5. 5. An amphibious vehicle window and sunroof intelligent control system as claimed in claim 4 wherein the vehicle entering a high risk emergency state comprises at least any one of the following risk events: the wading radar unit is continuously interrupted for more than a set time; The power system monitoring subunit reports serious power system faults; the vehicle body posture monitoring subunit monitors that the vehicle body inclination angle exceeds a preset inclination threshold value.
  6. 6. An amphibious vehicle window and sunroof intelligent control system according to claim 1 wherein the implement and drive module comprises a window control unit and a sunroof control unit, the window control unit being connected to each door window motor and integrating anti-pinch functionality.
  7. 7. An amphibious vehicle window and sunroof intelligent control system as claimed in claim 6 wherein the sunroof control unit is connected to a sunroof motor and combines thermal management resources and air pressure sensor data to achieve dynamic adaptive sunroof control based on thermal management and air pressure sensing.
  8. 8. An intelligent control method for windows and skylights of amphibious vehicles is characterized by comprising the following steps: collecting vehicle state and environment information in real time; the method comprises the steps of receiving vehicle state and environment information, carrying out fusion analysis and decision, and outputting control instructions, specifically, carrying out comprehensive evaluation on the vehicle state and environment information by adopting a multi-sensor data fusion algorithm to obtain a comprehensive risk index, carrying out logic judgment according to the comprehensive risk index, triggering safety response, and generating corresponding control instructions according to the safety response; And receiving a control instruction and driving the corresponding mechanical structure to act.
  9. 9. A vehicle comprising an intelligent control system for windows and sunroofs of an amphibious vehicle as claimed in any one of claims 1 to 7.
  10. 10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps of a method for intelligent control of windows and sunroofs in an amphibious vehicle as claimed in claim 8.

Description

Intelligent control system and method for amphibious vehicle window and skylight Technical Field The invention relates to the technical field of intelligent control of automobiles, in particular to an intelligent control system and method for windows and skylights of amphibious vehicles. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. When the amphibious vehicle runs in wading or encounters sudden flooding situations, various risks are faced, such as that external water is easy to pour into the vehicle due to untimely closing of the windows, the vehicle is quickly sunk, a power system is short-circuited and passengers drown, the vehicle cannot be normally opened due to faults, pits or rollover, passengers are trapped in a closed space, and in an emergency, the passengers cannot quickly and effectively manually operate the windows and the sunroof to escape or ventilate due to panic or environmental limitation. In the aspect of control, the existing automobiles are not provided with intelligent active safety redundancy design, and most of the automobiles directly rely on manual control of opening and closing components such as windows and skylights of drivers to improve the tightness of the automobiles. However, in the wading scene, delay and misjudgment risks are commonly existed in artificial operation, so that water inflow of a vehicle can be caused, and further short circuit of an electrical system, damage to interior decoration and even safety accidents are caused. Part of high-end vehicle models also introduce basic wading sensing functions, monitor the water level depth and the vehicle state in real time through a sensor, and automatically trigger part of sealing measures. However, after sensor failure or signal interruption, there is no corresponding backup control strategy or redundancy design. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides an intelligent control system and method for windows and skylights of an amphibious vehicle, wherein the vehicle wading depth is monitored in real time through a wading radar, and when the water depth exceeds a safety threshold value, a window closing program is automatically triggered to ensure the tightness of a carriage. If the wading radar system fails, the system is automatically switched to a redundant control mode, and a skylight is actively opened to serve as an emergency escape passage. To achieve the above object, one or more embodiments of the present invention provide the following technical solutions: in a first aspect, the present invention provides an intelligent control system for windows and sunroofs of an amphibious vehicle, comprising: The multi-source information sensing module is used for collecting the state and environment information of the vehicle in real time; The central intelligent decision and control module is used for receiving the vehicle state and the environment information, carrying out fusion analysis and decision and outputting a control instruction, and comprises a data fusion and risk calculation sub-module, an intelligent decision logic sub-module and a control sub-module, wherein the data fusion and risk calculation sub-module adopts a multi-sensor data fusion algorithm to comprehensively evaluate the vehicle state and the environment information to obtain a comprehensive risk index; and the execution and driving module is used for receiving the control instruction and driving the corresponding mechanical structure to act. According to a further technical scheme, the vehicle state and environment information comprises vehicle body inclination angle data, power system fault level data, wading radar communication link state data and real-time water depth data. According to a further technical scheme, the multi-sensor data fusion algorithm adopts a D-S evidence theory, and calculates the comprehensive risk index based on the D-S evidence theory. According to the further technical scheme, logic judgment is carried out according to the comprehensive risk index, and triggering safety response is specifically carried out by judging that the vehicle faces wading risks when the comprehensive risk index is larger than or equal to a preset wading threshold value, triggering a window closing instruction, and judging that the vehicle enters a high-risk emergency state when the comprehensive risk index is larger than or equal to a preset emergency threshold value, and triggering window closing and skylight opening instructions. Further technical solutions, the vehicle entering the high risk emergency state comprises at least any one of the following risk events occurring: the wading radar unit is continuously interrupted for more than a set time; The power system monitoring subunit reports serious power system faults; the vehicle body posture monitoring subunit monitors that th