Intelligent off-peak operation method and system for latticed storage tank of buried sewage plant

Through the intelligent peak-off operation method, data analysis and control algorithms are used to optimize the operation of the storage tank, the problems of large liquid level change amplitude and waste of volume are solved, and the stability of sewage treatment and efficient utilization of resources are achieved.

CN120406236APending Publication Date: 2025-08-01BEIJING GENERAL MUNICIPAL ENG DESIGN & RES INST
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Patent Information

Application Number
CN202510489902.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-18
Publication Date
2025-08-01

AI Technical Summary

Technical Problem

The front-end storage tank of traditional sewage treatment plants has problems such as large changes in liquid level, difficult to solve sludge deposition, serious waste of volume and lack of intelligence in operation mode.

Method used

The intelligent peak staggered operation method is adopted to obtain the operation data of the storage tank, combine time series analysis and long-term memory network to build a water inflow flow prediction model, use PID control algorithm and genetic algorithm to optimize the mud discharge time, build an overflow risk assessment model, and combine multi-layer perception machines for data processing and decision-making.

Benefits of technology

Accurate control of the incoming water flow rate, improve the sedimentation efficiency and the stability of sewage treatment, reduce resource waste, and ensure the safe operation of the sewage plant.

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Abstract

The invention relates to the technical field of sewage treatment, in particular to an intelligent off-peak operation method and system for a grid-divided storage tank of a buried sewage plant, and the method comprises the steps: obtaining the operation data of the storage tank, carrying out the data integration of the obtained operation data, and carrying out the construction of a prediction model based on the fused data. Flood season regulation and storage and precipitation control are conducted according to the prediction result, after precipitation is completed, a water outlet gate is opened to conduct drainage operation, washing time is calculated and controlled according to the volume of a regulation and storage pond and the flow of washing liquid, and precipitation of the current batch is completed; according to the method, in the regulation and storage and precipitation control process in the flood season, the mud discharge time and the mud discharge amount are calculated and determined through the PID control algorithm, in the water inlet control stage, the opening degree of the water inlet gate is adjusted in proportion according to the deviation between the liquid level rising speed and the threshold value, accurate control over the water inlet flow can be achieved, and the stability of the water inlet gate is improved. And overflow caused by too fast water inflow of the storage pond is avoided.
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