Water resource scheduling optimization method based on empirical model
A technology of empirical model and optimization method, applied in resources, instruments, data processing applications, etc., can solve problems such as water conflict, insufficient application of information technology, difficult calculation results, etc., to achieve high universality and reduce the occurrence of emergency events , the effect of accurate scheduling results
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Embodiment 1
[0053] A water resource scheduling optimization method based on an empirical model, comprising the following steps:
[0054]S1: Generalize the water supply network to express the water supply relationship concisely and clearly, and further generalize the scheduling objects and their corresponding relationships in the water supply network into the basic structure of points, lines and surfaces according to the dynamic combination technology of complex network topology A directed graph composed of primitives;
[0055] S2: Predict the water demand of the networked water plants, and the prediction results will be used as the boundary conditions for formulating the water resource dispatching plan;
[0056] S3: The water demand of the water plant has a strong correlation with the economic growth rate of the location. The historical data analysis is used to obtain the water demand characteristic period of the water plant, and the LSTM-RNN deep learning technology is used to process th...
Embodiment 2
[0061] A water resource scheduling optimization method based on an empirical model, comprising the following steps:
[0062] S1: According to the dynamic combination technology of complex network topology, the dispatching objects and their corresponding relations in the water supply network are further generalized into a directed graph composed of basic knot primitives of points, lines and planes; the water supply network is generalized to make it Concise and clear expression of water supply relationship, generalization must follow the upstream and downstream and supply relationship between each water supply object, and establish an association matrix in the system for storage. The empirical model can be highly extensible, and the correlation matrix can be adjusted flexibly according to the changes of the actual water supply system, which provides good conditions for the subsequent expansion of the system.
[0063] S2: Forecast the water demand of networked water plants, and t...
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