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Study on Data Mining in Water Dispatching Decision Support System

Author: ZengCongZuo
Tutor: DingYongSheng
School: Donghua University
Course: Communication and Information System
Keywords: Joint of water dispatching data mining the similarity calculation scheme match
CLC: TV697.11
Type: Master's thesis
Year: 2012
Downloads: 40
Quote: 0
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Abstract


In China, droughts and floods are common natural disasters. Especially in most parts of the South, whenever entered the flood season, heavy rainfall will lead to many rivers in large or catastrophic flood, so that local people’s lives and property by a huge threat; but the drought period, large areas of rivers drying up, local crops and their basic living conditions can not be guaranteed to bring heavy losses to the local economy. Real-time scheduling of the basin water is also increasingly important.This subject in the above context, the Fuhe River in Jiangxi Province as a reference object, and gradually leads and described a method to solve the local droughts, water smart scheduling system.Basin water regulation established water resources management system and methods of distribution, the principle of fair, efficient and sustainable development, the basin’s limited water resources in real time allocated to water unit to achieve the life, production and ecological ordered to meet the water demand.First, this paper provides an overview of the history and current status of the environment of of Jiangxi Nadekawa watershed hydrology and water regulation system, Fuhe River hydrology, water supply and demand on the basis of in-depth investigation and analysis of the status quo of the Fuhe water scheduling the main problem. Obtained advanced water regulation system on the multi-objective optimization, and random, dynamic and intelligent process control, in order to achieve sustainable development, the scheduling system can solve the Fuhe River drought and flood problems. Then, to determine the superiority of the water regulation system, Fuhe River hydrological environment, collecting valid data. The combination of the Fuhe water management needs, the establishment of the reservoir operation theory and the theory of systems science to meet the water scheduling decision support system model. The system to function as a unit is divided into five-class model: runoff forecasting model; water demand model; program matching model; water allocation model.To determine the framework of the entire system on the different models, one by one. In order to pass the data to solve nonlinear problems, the simulation model of reality can be the greatest accuracy, the paper decided to adopt the methods of time series to measure the similarity of the reservoir operation scheme. Established in order to maximize the use of historical data in the database, the matching model of the program, find the most similar program from the program library, the reference scenario for the programming.Finally some time to Fuhe River hydrological environment, for example, to measure the similarity in time series data in the database, and according to the measure, the database to find out the most suitable for the current conditions of reservoir operation method.The paper combines the Fuhe water scheduling water diversion requirements, Fuhe River hydrological reservoir operation theory and system theory, and give full consideration to the current the Fuhe water supply and demand contradiction, Jiangxi Province, water conservancy scheduling decision support system model, and model results were compared. Model, according to the demand for water regulation, the development of the practicality, reliability, advanced, open, scalable, feature-rich, easy to operate and maintain the the Fuhe upstream cascade reservoirs scheduling system. For researchers to better manage and resolve the problem of local hydrology.

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CLC: > Industrial Technology > Hydraulic Engineering > Water control,hydraulic structures > Reservoir Management > Reservoir operation management > Hydrological and reservoir operation
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