Reservoir water and sediment prediction model training, reservoir water and sediment prediction method and device

Abstract

The present invention provides a reservoir water and sediment prediction model training, reservoir water and sediment prediction method and device, wherein, the reservoir water and sediment prediction model training method includes: obtaining inbound water flow data; inputting the inbound water flow data into a pre-established mathematical model, To obtain the water and sediment data in the target area, the mathematical model is established using historical measured data. The historical measured data includes water inflow data and water and sediment data along the way. Acquisition; the inbound water flow data and the water and sediment data in the target area are used as training data, and the initial neural network model is trained through the training data to obtain the water and sediment prediction model in the target area. By implementing the invention, the water and sand data of any target area can be quickly and timely predicted, and an important reference can be provided for real-time and fine scheduling of reservoirs.

Description

technical field [0001] The invention relates to the technical field of reservoir sediment regulation, in particular to a reservoir water and sediment prediction model training, a reservoir water and sediment prediction method and a device. Background technique [0002] Reservoirs are key water conservancy projects to realize the scientific allocation and sustainable utilization of water resources. The scheduling method and service life of reservoirs will profoundly affect the safety of people's lives and property and economic and social development. However, as we all know, under the strong influence of artificial factors such as reservoir regulation, the movement characteristics of water flow, sediment and other substances in natural rivers have undergone drastic and complex changes. And with the rapid development of industry and agriculture along the coast of the reservoir area and the rapid growth of population size, real-time and fine-tuning of the reservoir is becoming ...

AI Technical Summary

Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects in the prior art that cannot predict the water flow and sediment data in the area along the route without observation stations, so as to provide a reservoir water and sediment prediction model training, reservoir water Sand prediction method and device

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