The results of the first Yangtze River Protection Digital Research Project of the Three Gorges Group have begun to show

Recently, the Three Gorges Group's first Yangtze River Great Protection Digital Research Project- "Data Management and Database Construction of the Yangtze River Protection Project Pipeline Network" has successfully passed the acceptance and has been highly recognized by the acceptance experts. The results of the project are widely used in the construction of the Yangtze River.

The project was jointly developed by the Yangtze River Environmental Protection Group and the Shanghai Court of the Three Gorges Group. Focusing on the data management needs of the Yangtze River large -volume pipeline network, a multi -level pipeline database of standard uniform, safe and reliable, convenient access, and lightweight operation and maintenance was established. With the quantitative and refined evaluation rules of the data of the pipeline network, it independently developed the pipe network data quality inspection system, and systematically proposed the entire process management measures and governance standards of pipe network data collection, quality control, submission, update, interaction, etc. Concentrated storage and efficient control of massive multi -source heterogeneous data.

The results are carried out promotion and application in more than 40 projects including the Yangtze River, Hubei, Hunan, Jiangxi, Anhui, and Yangtze River Delta. Historical problems, through the unified data platform to break the data islands, identify data defects, realize the sharing of data construction, and provide data foundation for the promotion of the basic operation and maintenance, lean operations and management network attacks of urban water assets, and to innovate the environmental protection asset management of the Three Gorges Group The model and the promotion of data assets provide exploration and accumulation, provide new models for the realization of scientific research services and scientific research leading production, and also provide new reference for the data governance and intelligent construction of the water industry.

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