
Research on Key Technologies of big data analysis in smart irrigation area
Author(s) -
Xuan Wang,
Guo Mimi,
Ma Dengchang
Publication year - 2021
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/768/1/012111
Subject(s) - key (lock) , irrigation , computer science , data collection , irrigation district , big data , warning system , operations research , data mining , engineering , telecommunications , computer security , ecology , statistics , mathematics , biology
Several key data analysis technologies involved in irrigation area construction are discussed. A closed-loop large data management model for irrigation area is proposed, which includes data collection, data sharing, data management, data development and utilization. Five types of analysis, including statistical analysis, professional calculation, planning optimization, system simulation and intelligent algorithm, are compared, and an abnormal water intake behavior early warning, water supply and demand forecast, water-saving irrigation area evaluation and installation are constructed. Four typical application scenarios, such as intelligent research and judgment of abnormal operation, have certain reference value for promoting the construction of intelligent irrigation area.
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