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Data-based urban sewage pumping station system modeling method

A technology of urban sewage and system modeling, which is applied in the field of data-based urban sewage pumping station system modeling, can solve problems such as lack, difficulty in analysis and solution, silting of domestic sewage discharge pipes, etc., and achieve simple structure and short modeling time , Optimize the effect of control and scheduling

Inactive Publication Date: 2010-08-18
SERVICE CENT OF COMMLIZATION OF RES FINDINGS HAIAN COUNTY
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AI Technical Summary

Problems solved by technology

Existing drainage pipe network pumping station models (SWMM, STORM and DHI, etc.) mostly use hydraulic modeling based on Saint-Venant's equation, which has high modeling complexity and is often difficult to solve analytically due to the lack of accurate boundary condition information
At the same time, a large number of uncertain factors in the drainage network system, such as rainfall distribution, domestic sewage discharge, pipeline silting, leakage, etc., will increase the complexity of modeling

Method used

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  • Data-based urban sewage pumping station system modeling method
  • Data-based urban sewage pumping station system modeling method
  • Data-based urban sewage pumping station system modeling method

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Embodiment Construction

[0058] Taking the two upstream and downstream pumping stations of Liuliu and Tape Factory in Hangzhou as examples, the present invention will be further described.

[0059] (1) Establish the prediction model of the drainage pipe network pumping station; the prediction model of the drainage pipe network pumping station includes the prediction model of the sewage storage of the drainage pipe network pumping station and the prediction model of the sewage inflow, respectively:

[0060] x(k)=x(k-1)+T(z -1 )v(k-1)-s(k-1)+u(k-1)+ε(k-1)

[0061] and x'(k-1)=x(k)-x(k-1)+s(k-1)=T(z -1 )v(k-1)+u(k-1)+ε(k-1)

[0062] Among them: k is the sampling time, x(k) is the sewage water storage capacity of the pumping station of the tape factory at time k, x′(k-1) is the sewage inflow of the pumping station of the tape factory within the sampling period [k-1 k]; s( k-1) is the amount of sewage discharged from the pump station of the tape factory within the sampling period [k-1 k]; u(k-1) is the ...

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Abstract

The invention relates to a data-based urban sewage pumping station system modeling method. The conventional modeling for a drainage pipeline network pumping station model has high complexity. The method comprises the following steps: firstly, establishing a predicting model for a drainage pipeline network pumping station; secondly, preprocessing original data acquired by an SCADA system; thirdly, determining a model set type and identifying a model structure and a model parameter; and finally, performing online dynamic modification on the model parameter. The method of the invention breaks through a constraint that mechanism characteristics are required to be understood completely in the conventional modeling, the modeling time is relatively short and the obtained model structure is relatively simple.

Description

technical field [0001] The invention belongs to the technical field of automation, and in particular relates to a data-based modeling method for an urban sewage pumping station system. Background technique [0002] With the rapid development of cities, urban drainage has become one of the bottlenecks restricting the rapid development of cities. Urban drainage is mainly aimed at the existing drainage facilities in the city. Through the drainage system pipe network pumping station model and real-time monitoring data, the overall operation of the drainage system is optimized to improve the overall operation efficiency of the pumping station network, save energy and reduce consumption, and improve the city's flood prevention and flood control capabilities. . [0003] The system model of drainage pipe network pumping station is the core of planning, design, operation control and maintenance management of urban drainage pumping station. Affected by complex factors such as weathe...

Claims

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Application Information

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IPC IPC(8): G05B13/02
Inventor 徐哲左燕薛安克王建中何必仕张学同
Owner SERVICE CENT OF COMMLIZATION OF RES FINDINGS HAIAN COUNTY
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