MOP-DL-based underground drainage network maintenance intelligent decision-making method

Abstract

The invention discloses an intelligent decision-making method for underground drainage pipe network maintenance based on MOP-DL. The method comprises the following steps: obtaining a functional disease condition of a drainage pipe network and a regional flood disaster loss condition; constructing a multi-target planning model of the maintenance decision of the underground drainage network pipe by taking the multi-target module as a constraint condition; solving the multi-target planning model by a multi-target group search algorithm module based on covariance evolution and chaos search to obtain a drainage pipe network functional disease condition sample set with maintenance decision labels; inputting the drainage pipe network functional disease condition sample set with the maintenance decision label to a deep learning module; and the deep learning module carries out repeated iteration training on the deep learning module by using parameters of the drainage pipe network functional disease condition sample set calibration loss function with the maintenance decision label, and outputs a maintenance decision result. According to the method, urban inland inundation area disaster loss under the influence of functional diseases is accurately fitted, the economic benefit quantification of maintenance decision is accurate, and the drainage pipe network maintenance decision result reliability is high.

Description

technical field [0001] The invention relates to the field of maintenance of underground drainage pipe network, in particular to an intelligent decision-making method for maintenance of underground drainage pipe network based on MOP-DL. Background technique [0002] In the research of urban drainage pipe network maintenance decision-making, some scholars evaluate the vulnerability risk of pipe network from the perspective of structural degradation and hydraulic condition degradation and give maintenance suggestions, but ignore the economic benefits of maintenance decision-making and do not consider drainage pipes Hydrological and hydrodynamic coupling relationship between network functional diseases and urban waterlogging losses. The existing decision-making optimization mechanism design focuses on improving the maintenance technology of pipe network diseases and the generalized pattern search algorithm under the constraint of minimum maintenance cost, and does not consider t...

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Problems solved by technology

[0003] (1) The hydrological and hydrodynamic coupling relationship between the functional disease of the drainage pipe network and the urban waterlogging loss is not considered;

[0004] (2) Ignoring the economic benefits of maintenance decisions;

[0005] (3) The internal relationship between the cost of urban drainage network maintenance strategy, waterlogging loss and constraints, and intelligent decision-making are not considered

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