Abstract
Thermal power plant is a typical equipment-intensive enterprise, and regular inspection and spot inspection of production equipment is the most important measure to find equipment defects in time and ensure safe production of enterprises. In many years of practical application, the traditional inspection method, which relies mainly on visual inspection by spot inspectors, has been widely used. There are many shortcomings, such as missing detection, low efficiency, insufficient depth of data mining and high security risk. Based on the equipment management mode of spot inspection and regular maintenance in power plants, this paper proposes an unmanned intelligent spot inspection system for power plants, which combines intelligent sensors with diagnostic algorithms, by sorting out the work content of traditional manual spot inspection. The intelligent and unmanned management of spot inspection and regular repair in thermal power plants is realized, which has certain reference significance for improving the operation reliability of power plants and reducing the safety risk of spot inspection personnel.
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