The State Inspection of Upper Supporting Roller of Conveyor in Service with Structural Pattern Recognition and Cluster Norm Algorithm of Failure

EasyChair Preprint 7781

Abstract

In thermal power generation, coal transportation is an important link in the production process, and coal transportation by corridor conveyor is a common technical method.  In order to ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of conveyor rollers, and timely find and deal with abnormal situations.  It is difficult to meet the requirements of modern thermal coal transportation inspection due to the heavy workload and high labor intensity.  According to the performance requirement, operation mode and function of space orbit, a kind of inspection robot instead of manual is proposed.  The robot system by CCD detection, convention scanning way, classifier design and abnormal structure pattern recognition algorithm, the displacement of conveyor roller state, center, do not turn, abstraction of severe abrasion and crack, form the state vector, through clustering algorithm of norm, judgment and determine the roller on the working state, the robot real-time condition monitoring alarm with abnormal situation.

Keyphrases: Cluster norm algorithm, Conveyor upper roller state, machine vision, state vector, structural pattern recognition

@booklet{EasyChair:7781,
  author    = {Ehui Huang and Chunyang Gu and Shanping Gao and Jinling Song and Shuting Li and Junqin Zhou and Zhenjie Chen and Lizhi Gu},
  title     = {The State Inspection of Upper Supporting Roller of Conveyor in Service with Structural Pattern Recognition and Cluster Norm Algorithm of Failure},
  howpublished = {EasyChair Preprint 7781},
  year      = {EasyChair, 2022}}