Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Seat passenger human body classification recognition sensing system and automobile seat

A sensing system and occupant technology, applied in vehicle seats, belt control systems, pedestrian/occupant safety arrangements, etc., to solve problems such as the presence of unseat occupants and weight identification and detection

Pending Publication Date: 2020-10-20
LANGFANG JINSESHIGUANG TECH LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Currently, existing body shape classification of seat occupants, for example, utilizes measurement of current, impedance, or capacitance values ​​to determine the presence of objects on the seat and classify objects; The SBR or BodySensors sensor pads have no circuit sensing points and no air holes, and cannot identify and detect the presence and weight of seat occupants; therefore, the existing seat occupant human body classification recognition system needs to be improved urgently

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Seat passenger human body classification recognition sensing system and automobile seat
  • Seat passenger human body classification recognition sensing system and automobile seat
  • Seat passenger human body classification recognition sensing system and automobile seat

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Please refer tofigure 1 , figure 2 and image 3 The schematic structural diagram of the first embodiment of a recognition sensing system for human body classification of seat occupants provided in this application is shown, including: a sensing module 1 and an electronic controller used in conjunction;

[0041] The sensing module 1 includes: a stacked sensing part 2 and at least one sensing point group 4 arranged on the stacked sensing part 2; the stacked sensing part 2 is provided with a laminated body 3; The laminated body 3 includes: a first material surface layer 9, a spacer layer 10 and a second material surface layer 11 that are sequentially attached from top to bottom; the spacer layer 10 is provided with a plurality of through holes and at least one air path Channel 7; the through hole forms an air pressure sensing point 5 with the first material surface layer 9 and the second material surface layer 11, and the air pressure sensing point 5 communicates with th...

Embodiment 2

[0084] Please refer to Figure 10 and Figure 11 The shown structural diagram of a car seat provided by the present application includes: a seat 23; the seat 23 is installed with the above-mentioned recognition sensor system for human body classification of seat occupants.

[0085] In this embodiment, the identification sensor system for seat occupant human body classification is installed inside the seat 23 to realize detection, identification and classification of the human body of the seat occupant.

[0086] Here, the seat can adjust the force exerted by the body of the occupant from the seat surface on the stacked sensing part 2 by adding a softness adjustment layer, such as a sponge layer, non-woven fabric, fabric, etc., so as to realize a stacked sensor. The sensing part 2 is stressed more evenly and gently, and the additional hardness adjustment layer can be adjacent to the soft elastic hollow structure, or arranged in a non-contact position within its projected range....

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a seat passenger human body classification recognition sensing system and an automobile seat. The system comprises a sensing module and an electronic controller which are usedin cooperation. According to the invention, the force receiving surface of a first material surface layer of a laminated body on a laminated sensing part, through holes of a spacer layer and a secondmaterial surface layer form a sensing cavity; when a sensing point group and a sensing cavity body are subjected to external pressure, the sensing cavity body forms an air pressure change in the closed space, and the air pressure change is transmitted to the electronic controller through an air channel; the first air pressure sensor judges the difference of the human body weights of different passengers according to the pressure value change of the sensing module; the air pressure value is subjected to signal processing and judgment of a program, and then the weight range of the human body onthe seat is judged; and the second air pressure sensor is communicated with the inner space of the cabin to monitor the atmospheric pressure value of the inner space of the cabin of the vehicle, so that the electronic controller can better correct the detection value of the first air pressure sensor to achieve a more accurate signal processing result.

Description

technical field [0001] The present disclosure generally relates to the technical field of human body classification of seat occupants, and specifically relates to an identification sensor system for human body classification of seat occupants and a car seat. Background technique [0002] Most vehicles include air bags and seat belt restraint systems that work in conjunction with them to prevent serious injury to the driver and passengers in high-speed collisions. It is very important to control the inflation force of the airbag and the pretension force of the seat belt according to the body shape of the driver or passenger. [0003] Currently, existing body shape classification of seat occupants, for example, utilizes measurement of current, impedance, or capacitance values ​​to determine the presence of objects on the seat and classify objects; The SBR or BodySensors sensing pads have no circuit sensing points and no air holes, and cannot identify and detect the presence a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B60R21/015B60R22/48B60N2/00G01L11/00
CPCB60N2/002B60R22/48B60R2022/4808B60R21/01516B60R21/01522B60R21/01524G01L11/00
Inventor 张海涛
Owner LANGFANG JINSESHIGUANG TECH LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products