Research on mill distance monitoring system based on machine vision

Autor: LU Shao-jie, WU Wen-bin, ZHANG Wen-long, HOU Ning-pei, LIU Pei-kang, ZHAO Qi-feng
Jazyk: English<br />Chinese
Rok vydání: 2022
Předmět:
Zdroj: Shipin yu jixie, Vol 38, Iss 11, Pp 101-104,110 (2022)
Druh dokumentu: article
ISSN: 1003-5788
DOI: 10.13652/j.spjx.1003.5788.2022.80324
Popis: Objective: Real-time monitoring of the grinding roller distance of the pulverizer. Methods: CCD industrial camera was used to collect the rolling distance image, threshold segmentation and morphology were used to preprocess the gray image, and then the edge detection algorithm combined with MATLAB software and mathematical operation were used to eliminate the irrelevant edge points, and finally the rolling distance of the mill was calculated. The feasibility and veracity of the system were verified by comparing the value of gauge and the value of system monitoring. Results: The data fluctuation range of the online monitoring system was 0.001~0.002 mm in the steady state, and the fluctuation range was larger in the speeding state, which was 0.001~0.005 mm. Conclusion: The system can measure rolling distance in real time.
Databáze: Directory of Open Access Journals