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Particle swarm algorithm-based canal system optimization water distribution method

A kind of particle swarm algorithm and particle swarm technology, applied in computing, instrumentation, data processing applications, etc., can solve problems such as affecting promotion, difficult acquisition, and numerous model parameters

Inactive Publication Date: 2017-05-10
CHINA AGRI UNIV
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Problems solved by technology

[0007] (2) Some models require a large number of parameters and are difficult to obtain, which makes the model less practical and universal, which affects further promotion
[0008] (3) The research on water management methods for irrigation districts is still in the preliminary stage, and more efforts need to be made to improve and integrate

Method used

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  • Particle swarm algorithm-based canal system optimization water distribution method
  • Particle swarm algorithm-based canal system optimization water distribution method
  • Particle swarm algorithm-based canal system optimization water distribution method

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Embodiment

[0173] The selected embodiment of the present invention is the irrigation area data of the first and second branch canals of the 150 regiment in the Mosuowan Irrigation District of Xinjiang.

[0174] The Mosuowan Irrigation District is located in the central area of ​​the economic development zone on the northern slope of the Tianshan Mountains. The irrigation district governs four large-scale farming and pastoral groups. The selected 150 regiment Yiying two branch canal is located upstream of the three branch canal, with a total length of 2600m and a control area of ​​256.33hm 2 , Control the two water units of Yilian and Sanlian. The design flow Q of the branch canal is 0.65m 3 / s, the channel water utilization coefficient η is 0.975, there are 12 bucket canals underneath, that is, the number of lower canals N is 12, and the irrigation rotation period is T 0 It is 144h, and the information of each canal is shown in Table 1.

[0175] Table 1 Information of No.1 Camp and No.2 Branc...

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Abstract

The invention belongs to the technical field of intelligent agriculture and particularly relates to a particle swarm algorithm-based canal system optimization water distribution method. The method comprises the steps of 1, establishing a target function according to upstream canal capacity, a canal water utilization coefficient, a downstream canal quantity and downstream canal capacity, and determining a rotational irrigation group number range, and a total particle number of a particle swarm and a maximum iterative frequency required for running a particle swarm algorithm; 2, generating the particle swarm in a feasible region by utilizing the particle swarm algorithm; 3, judging whether particles in the generated particle swarm meet constraint conditions or not; 4, recording the positions of all the particles meeting the constraint conditions; 5, calculating fitness values of the particles; and 6, judging whether the particle swarm algorithm reaches the maximum iterative frequency or not, and if the maximum iterative frequency is reached, outputting an optimization result, or otherwise, updating speed and position information of all the particles and performing the steps 5 and 6 again. The method is suitable for different types, different regions and different irrigation areas, and is high in practicality and universality.

Description

Technical field [0001] The invention belongs to the technical field of intelligent agriculture, and particularly relates to a canal system optimization water distribution method based on a particle swarm algorithm. Background technique [0002] As a large agricultural country in my country, agricultural water consumption has accounted for 72% of the country’s total water consumption, most of which is used for irrigation. Irrigation water use efficiency is extremely low. The irrigation water use efficiency in many irrigation areas is only 40%. It is inconsistent with our country’s current efforts to build a sustainable and economical society. Therefore, in the context of the increasingly serious contradiction between the supply and demand of irrigation water resources, the importance and necessity of rational and optimal allocation of irrigation water resources, which occupy an important position in agricultural production, has become increasingly apparent. In order to better promo...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06Q50/06
CPCG06Q10/04G06Q50/02G06Q50/06
Inventor 郝新梅余霖杰夏爽
Owner CHINA AGRI UNIV
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