Sewage pump station water level prediction method base on neural network

A technology of neural network and sewage pumping station, which is applied in the field of automation, can solve problems such as pipeline overflow caused by unforeseen floods, and achieve the effects of strong practicality, high prediction accuracy, and improved prediction accuracy
CN101819407BInactive Publication Date: 2011-09-07SERVICE CENT OF COMMLIZATION OF RES FINDINGS HAIAN COUNTY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SERVICE CENT OF COMMLIZATION OF RES FINDINGS HAIAN COUNTY
Publication Date
2011-09-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a sewage pump station water level prediction method base on neural network. The method comprises the steps of: firstly selecting prediction model variables including input variables and output variables, wherein input variables include an upstream pump station lifting capacity, forebay liquid level variable quantity, pump station discharge rate and switch pump liquid levelcontrol setting quantity and the output variables include a pump station forebay water level; secondly normalizing the data; then setting up a BP neural network framework and training the BP neural network; and finally carrying out denormalization on the data of the neural network. The method has higher prediction accuracy compared with the traditional steady flow computing method.
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Description

technical field

[0001] The invention belongs to the technical field of automation, and in particular relates to a method for predicting the water level of a rain-sewage mixed-flow pipe network pumping station in an urban drainage system based on a neural network. Background technique

[0002] With the rapid development of cities, urban drainage has become one of the bottlenecks restricting the rapid development of cities. However, in the existing urban drainage pipe network system, the flow and water level of sewage flowing through each pipe network and pumping station can only be estimated by human experience. Therefore, the system cannot predict the occurrence of floods, pipeline overflows, let alone dispatch pumping stations. The unit is turned on to achieve the purpose of saving energy in the pumping station.

[0003] The existing urban drainage system data acquisition and monitoring system (SCADA system) has accumulated a large amount of pumping station operation data,...

Claims

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