Exploratory Research on Protection and Application of Hydrological Data Assets Based on Artificial Intelligence Technology
SHEN Xiaodong
ZHANG Kun
ZHANG Leqi
TANG Honglei
Abstract：As the digital economy drives high-quality economic and social development,public data is gradually transforming from"resources"to"assets",highlighting the strategic value of hydrological data in flood and drought disaster prevention,water resource utilization,and ecological protection.However,the current hydrological data management still focuses on supporting the business and service industry,and there are problems such as unclear boundaries between data ownership and asset confirmation,contradictions between data sharing and security,and less exploration of data property rights and security technology implementation path,which restrict the release of data value and the improvement of intelligent application level.In order to solve the problem of hydrological data asset management,the paper takes Yunnan hydrological data asset as the research object,expounds the concept and characteristics of hydrological data asset,and deeply analyzes the current situation and existing problems of data asset management.Based on artificial intelligence(AI)technology,the paper explores the protection and application mode of hydrological data assets from the aspects of collection,management,transmission,calculation,governance,model training,sharing and so on.With the help of homomorphic encryption,privacy computing and other technical solutions,a hydrological data asset protection and application technology system of"intelligent collection,asset management,secure computing,data governance,intelligent application"is constructed.The research results show that the technology can improve the efficiency of multi-source data collaboration under the premise of ensuring data security,and provide a technical path and practical scheme for the standardized management,safe protection and efficient utilization of hydrological data assets.It is of great significance to release the value of hydrological data elements and improve the application efficiency of hydrological data assets in the context of digital economy.
Keywords：hydrological datadata assetsartificial intelligence technologyhomomorphic encryptionprivacy computing
Publication Date：2026-05-20
Online Publishing Date：2026-09-16(First online date of this platform, not the publication date of the document)
Pages：8( 73-80 )