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In view of the practical problems in the field of measurement and control business, such as various types of equipment, miscellaneous models, scattered distribution stations, insufficient technical support manpower, and backward remote technical assistance means, combined with the characteristics of measurement and control equipment and the laws of operation and maintenance, it is proposed to use digital technology to build a three-dimensional model of measurement and control equipment and an information flow logic model to establish functional digital measurement and control equipment. At the same time, actual equipment status information is collected through various status information perceptrons. The information collected by each perceptron is processed, formatted, and packaged using software programming technology. Moreover, the Internet of Things network between digital equipment and physical equipment is used to realize network interconnection between digital and physical equipment so that the status data of both types are consistent and synchronized. This aims to achieve health monitoring of equipment based on digital measurement and control while enabling synchronous fault diagnosis evaluation. Additionally, algorithms can be utilized for intelligent learning iteratively updating the state information base for digital equipment. Equipment trend analysis can be conducted based on this information base allowing prediction of health trends which enables digitized operation and maintenance guarantee.