Rail transit vehicle health state analysis method based on big data and terminal

A rail transit vehicle and health status technology, applied in the field of rail transit, can solve problems such as low accuracy and poor timeliness, achieve low cost, improve accuracy, and avoid subjective factors

Active Publication Date: 2020-06-09
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the technical problem of poor timeliness and low accuracy of current rail transit vehicle health status detection

Method used

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  • Rail transit vehicle health state analysis method based on big data and terminal
  • Rail transit vehicle health state analysis method based on big data and terminal
  • Rail transit vehicle health state analysis method based on big data and terminal

Examples

Experimental program
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Embodiment 1

[0023] A method for analyzing the health status of rail transit vehicles based on big data, such as figure 1 As shown, this embodiment includes the following steps: A) Deploy edge computing terminals and sensors on rail transit vehicles, collect real-time running data of rail transit vehicles, and cache the data. The sensors used include vibration sensors, speed sensors, sound sensors, and temperature sensors. The real-time running data of rail transit vehicles collected include the speed of each bogie shaft of the rail transit vehicle, the vibration of the shaft, the vibration of the outer ring of the bearing, the vibration of the bearing near the The sound and the temperature of the inner ring of the bearing.

[0024] B) The edge computing terminal preprocesses the data, associates it with the time axis to form the running status data, and extracts the feature data. Preprocessing the data includes: noise reduction processing and normalization processing, where the calculati...

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PUM

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Abstract

The invention relates to the technical field of rail transit and particularly relates to a rail transit vehicle health state analysis method and terminal based on big data. The method comprises stepsof A) an edge calculation terminal and a sensor on a rail transit vehicle are deployed, the real-time operation data of the rail transit vehicle are collected, and caching of the data is performed; B)the edge computing terminal preprocesses the data, associates the data with a time axis to form running state data, and extracts feature data; C) the edge computing terminal transmits the extracted feature data to a server through a communication module, the edge computing terminal judges whether the feature data is abnormal or not according to a preset judgment rule, and if yes, an alarm is given out; D) a fault model is established in the server; and E) the characteristic data is imported into the fault model in the server to obtain a health state of the rail transit vehicle. The method isadvantaged in that remote monitoring of the rail transit vehicle is realized, and reliability and accuracy of the rail transit vehicle are improved.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to a method and terminal for analyzing the health status of rail transit vehicles based on big data. Background technique [0002] With the rapid development of the economy, rail transit continues to expand in the process of urbanization. There are more and more rail transit lines in cities, and they have become an important and frequently used means of transportation for people to travel. Rail transit has the advantages of low pollution, high speed, high departure frequency, high passenger capacity and long continuous running time. But also because of its long-term continuous operation and large passenger traffic, it has very high requirements for hardware security. Rail transit vehicles in operation need to be inspected regularly to find hardware faults or defects, and to repair and replace them in time. At present, the detection of vehicles is usually carried out at night...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08G07C5/00H04W4/38H04W4/42H04W4/44G06N3/02
CPCG07C5/0808G07C5/008H04W4/42H04W4/44H04W4/38G06N3/02
Inventor 杨文刚孙丰诚张浩苏修武卢朝忠何建武
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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