DHP: Cloud-Edge Collaborative Internet Framework for Nuclear Power Industry
Authors: Cheng Minmin , Liu Xianying , Jing Yinggang , Xu Kui 
Published: November 2024

Abstract
Due to the numerous production links of nuclear power plants, complex organization and process, and the distribution of multiple nuclear power plants in different regions, the safety and efficient operation of the nuclear power Group as a whole has brought great challenges. To establish an industrial Internet at the level of the nuclear power group, provide means to eliminate data islands, integrate massive data resources and improve data use efficiency, improve the safety management level and operation performance of nuclear power plants, and reduce costs, this paper designed a cloud edge collaborative architecture of nuclear power industrial Internet DHP, which meets the coordination and interaction and safety requirements of nuclear power plant side and center side. It creates the foundation for low latency, high concurrency, and reliable production command in the safety production management system and overhaul command center. According to the data characteristics of the nuclear power industry, a timing data acquisition and configuration tool and a running soft gateway are adapted to meet the timing data access requirements of typical business scenarios of the nuclear industry and have the ability to access high-frequency vibration and low-frequency timing data at the same time. Independently designed and implemented a complete technical framework for the acquisition, transmission, storage, and processing of high-dimensional time series data in the nuclear industry, which can support real-time access and calculation of millions of measurement points. Based on metadata management, an access channel for multi-source heterogeneous data is established to coordinate data extraction, data processing, data storage, data scheduling, quality audit, data service and other links. The end-to-end, closed-loop data governance and control mechanism is studied, and the nuclear power data is governed and assets are opened with this method. The whole life cycle management of nuclear power data is realized, which meets the data resource demand in the field of equipment reliability management, and improves the management ability and query efficiency of complex data. Taking the China Nuclear Power Data Center and six nuclear power bases as representatives, the platform construction and engineering practice have formed a data sharing and collaboration channel between the data center and the edge side. The research results show that DHP gathers and processes China’s nuclear power production and management data, and realizes effective data integration and processing so that multiple production, operation, maintenance, and other applications can be based on consistent data for timely perception, fast processing, and efficient decision-making. Therefore, the nuclear power industry Internet cloud edge collaboration framework established in this paper can provide support for digital and intelligent nuclear power, has a wide application prospect, and can provide technical references for the construction of nuclear power data ecology.