Fault Detection of Club Fitness Equipment Based on Image Processing Technology

Abstract

The safe operation of machinery and equipment is not only closely related to People’s Daily life, but also has an important impact on the economic activities of the whole society. Therefore, the detection and elimination of mechanical faults has become one of the hot topics in current research. Mechanical equipment detection based on image processing technology is a method to detect and eliminate machine faults through the technical principle of infrared thermal imaging combined with image processing technology. The traditional fault detection method is usually by professional maintenance staff use a variety of various parameters of instrument measuring machine, for it is concluded that the parameters of the analysis to find out the cause of the fault, the test method is not only requires a lot of manpower and material resources, and the operation is very complicated, difficult to real-time access to the cause of the problem. By contrast, image processing technology can accurately and quickly extract the fault characteristics of the machine and analyze and diagnose them on the relevant diagnosis platform. In this paper, the research of image processing technique to detect the machine equipment failure is mainly combined with the machinery and equipment of fitness club, gym fitness equipment are made by special management personnel responsible for the care, but because of the great usage, thus inevitably fails, but these managers also amateurs, therefore difficult to by our own technology to deal with these failures, under this background, the research developed a visualization of the fitness club equipment inspection system is very necessary.