The aim and meaning of study on digital irrigation area are discussed at first. Then the author puts forward the need and feasibility. Taking XueYe reservoir as an example, the software and hardware of digital irrigation area are analyzed and designed, while researching and developing on the key techniques and automatic regulation supervision system. The digital irrigation area software is mainly composed of five modules, which are floodgate control, agriculture-use water management, life-use water management, flood discharge and electricity generation. The hardware system includes the hardware which are installed at the information control and transaction center of chief regulation center, and the systems of floodgate on-off remote sensors, floodgate on-off degree remote sensors, water depth, water quantity and water level remote sensors, electricity generation quantity remote sensors and industry water supply remote sensors. We also designed the software function framework, the hardware constitution, general floodgate flux and distribution of electricity flux, flood discharge flow chart, floodgate on-off degree remote sensors structure chart, floodgate on-off remote sensors structure chart and water depth water quantity remote sensors charts. On this base, the key techniques of digital irrigation area are discussed. Also, we bring forward multi-goal case evaluation method, auto make and inter make method, database technology and modularization management functions. With dynamic supervision on rain and project instances, we can issue alarm information ahead of schedule, and provide supports for scientific decision-making, as while as saving abundant water resource and improving management level. The project was applied in XueYe reservoir of LaiWu in Shandong Province and achieved good effects.
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© 2008 IFIP International Federation for Information Processing
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Liang, Y., Liu, J., Li, Y., Zhang, C., Ma, M. (2008). Study on the Application of Digital Irrigation Area System. In: Li, D. (eds) Computer And Computing Technologies In Agriculture, Volume I. CCTA 2007. The International Federation for Information Processing, vol 258. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77251-6_23
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DOI: https://doi.org/10.1007/978-0-387-77251-6_23
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