An Intelligent Optimal Water Resource Allocation Method

Abstract

The invention discloses a method for intelligently optimizing water resource allocation, and the specific steps are as follows: 1. Collect data; 2. Preprocess the data; 3. Use a gray layered model for standard values ​​of each data to obtain a weight W; 4. Use the fuzzy comprehensive evaluation method to obtain the membership degree matrix, and obtain the comprehensive evaluation result b according to the membership degree matrix; 5. Use the data of b and step 2 as input data, and the configuration results of each region as output; 6. According to the actual situation It is required to obtain the fuzzy comprehensive evaluation result b1 and use it as the input of the neural network to obtain the simulated distribution result; 7. Send the simulated distribution result to the fuzzy comprehensive evaluation method to obtain the score b2, and use the simulated annealing genetic algorithm to fine-tune b2 until it meets the planning The final water allocation results are required. The invention can more accurately and rationally allocate water resources, and iteratively optimize the previous allocation results, thereby enhancing the scientificity and rationality of the entire water resource allocation process.

Description

Technical field[0001]The invention belongs to the field of information technology, and particularly relates to a method for optimizing water resources allocation based on intelligence.Background technique[0002]As a quasi-public goods, water resources have the characteristics of scarcity and exclusivity. With the development of society and economy, it is difficult for limited water resources to meet the increasing demand. Many areas are experiencing water shortages. If scientific and effective The allocation of water resources will not only severely restrict the social and economic development of the region, but may also cause conflicts. Therefore, the reasonable allocation of water resources is particularly important. As a complex giant system, the water resources system is used in effective resource allocation. The need for multi-discipline and multi-subject participation in water resource allocation is usually considered as a spatial allocation or placement. It was later extended ...

AI Technical Summary

Problems solved by technology

[0004] However, it is still difficult to break through the idea of ​​simply using an optimization model or a simulation model for water resource allocation at present. Due to the complexity of the water resource system and the complexity of the water resource system, the use of optimization methods cannot describe water well due to the limitations of mathematical models. However, the model cannot simulate the entire complex system, and cannot control many parameters and conditions, and water resource allocation is usually multi-objective, and is affected by many uncertain factors. Sometimes the objectives will conflict with each other. Optimal solutions often do not exist or are difficult to reach. A large number of semi-structured and unstructured problems require decision-makers to judge and make decisions. The preferences of decision-makers will affect the pattern of water resources allocation. Factors such as decision-makers' preferences and lack of experience cannot avoid comparison and selection of solutions. Due to the influence of time, it cannot achieve the purpose of real reasonable allocation, and the combination with other discipline research tools represented by water informatics is not enough. Smart configuration still has a long way to go

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