Dynamic data mining method and system of extension reservoir subsequent floods
A dynamic data and follow-up technology, applied in the direction of database model, relational database, electrical digital data processing, etc., can solve the problems that cannot meet the requirements of real-time flood control and scheduling of reservoirs, and the forecast period of flood forecast is short.
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[0098] combine Figure 1 to Figure 4 The invention is described. The invention divides historical floods into multiple magnitudes, such as three magnitudes of large, medium and small, formulates the principle of standardization of historical floods, constructs a flood similarity index system, and performs dynamic identification and development of similar floods based on the principle of hierarchical clustering. Delay, by evaluating the effect of flood delay, optimize the combination scheme of different flood similarity indicators.
[0099] The present invention extends the dynamic data mining method of the follow-up water of the reservoir, comprising the following steps:
[0100] Step 1. The historical floods are frequency-arranged according to the total water volume during the dispatching period, and the historical floods are divided into three levels of large, medium, and small according to the frequency thresholds of the total water volume (such as: 85%, 40%). The accumul...
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