Automobile working condition abnormity identification method, system and device and storage medium

A technology for abnormal identification and automobile working conditions, applied in the direction of character and pattern recognition, image data processing, instruments, etc., can solve the problems of no early warning means, prone to serial accidents, and large losses, so as to reduce serial accidents and quickly solve fire hazards situation, reducing property damage and safety risks

Pending Publication Date: 2021-12-24
RES INST OF TSINGHUA PEARL RIVER DELTA +1
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In related technologies, the detection and processing of fire is mostly post-processing, that is, the alarm and accident handling procedures are started only after the fire has occurred. There is no suitable early warning means, the loss is large, and serial accidents are very prone to occur, and the safety is low.

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
  • Automobile working condition abnormity identification method, system and device and storage medium
  • Automobile working condition abnormity identification method, system and device and storage medium
  • Automobile working condition abnormity identification method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] 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 denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are only for explaining the present application, and should not be construed as limiting the present application. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0052] At present, in the field of automobiles, especially emerging electric vehicles, accidents of spontaneous combustion and fire are prone to occur. And once an accident occurs, it is difficult to deal w...

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 an automobile working condition abnormity identification method, system and device and a storage medium. The method comprises the following steps: acquiring a thermal imaging image and a real image of an automobile; inputting the real image of the automobile into an automobile model prediction model, and determining the type of the automobile; determining an abnormal temperature threshold value corresponding to each part of the automobile according to the type of the automobile; inputting the thermal imaging image into a temperature prediction model to obtain a temperature identification result of each part of the automobile; and comparing the temperature identification result of each part of the automobile with the abnormal temperature threshold value, and when the temperature identification result is greater than or equal to the abnormal temperature threshold value, determining that the operation condition of the automobile is abnormal. According to the method, early warning of the fire accident of the automobile can be realized, so that the situation of serial accidents is reduced; and possible fire can be quickly solved, and property loss and safety risk are reduced. The method can be widely applied to the technical field of automobiles.

Description

technical field [0001] The present application relates to the technical field of automobiles, in particular to a method, system, device and storage medium for identifying abnormalities in automobile working conditions. Background technique [0002] Fire is a type of accident that is easy to occur and has great hazards, and it is easy to cause large property losses. It is very important to detect and deal with fire in advance. [0003] With the development of transportation technology, more and more families have purchased vehicles as a means of transportation for travel, and vehicles provide convenience for people's daily work and life. However, in practical applications, vehicles may be at risk of catching fire, especially new energy vehicles that are mostly powered by batteries. When a vehicle catches fire, if targeted and rapid emergency response is not implemented in time, it is likely to cause a greater safety accident. In related technologies, the detection and proce...

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): G06T7/00G06T7/12G06T7/13G06T7/136G06T5/00G06K9/62G06N20/00
CPCG06T7/0002G06T7/12G06T7/13G06T7/136G06T5/007G06N20/00G06T2207/20081G06T2207/20084G06T2207/30248G06F18/214
Inventor 彭云山苏凤奇彭东大
Owner RES INST OF TSINGHUA PEARL RIVER DELTA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products