Abstract
Abstract In view of the problems of poor maintenance timeliness of nuclear power digital instrument and control system (I&C system) and the inability to evaluate the health condition of the I&C system in real time, a remote intelligent operation and maintenance strategy based on virtual DCS and Prognostic and Health Management (PHM) technology framework was proposed. The key technical information of virtual DCS and PHM is introduced. Combining with the technical characteristics of digital I&C system of nuclear power plant (NPP), the remote intelligent operation and maintenance framework combining virtual and actual object is constructed. With respect to the actual I&C system, virtual DCS was established to realize condition based maintenance for its flexibility and predictive characteristics. At the same time, the actual system data can be collected and stored through the I&C system data center, which will be the data basis for the remote monitoring of the site. Then, five functions of remote monitoring, fault diagnosis, condition prediction, intelligent maintenance and resource allocation and management are described. The key technologies and data resources needed to realize the scheme are analyzed. Finally, according to the strategy, a prototype with remote intelligent operation and maintenance function is built on the basis of a nuclear power platform, which realizes the strategy and provides feasibility guarantee for remote intelligent maintenance of I&C equipment.
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