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A sewage pipe network flow velocity detection method based on information fusion and an ARMA model

A sewage pipe network and flow velocity detection technology, applied in the field of data analysis, can solve problems such as difficult to accurately estimate the flow velocity of sewage pipe network, achieve accurate estimation, increase detection accuracy, and increase robustness

Inactive Publication Date: 2019-02-26
FUYANG NORMAL UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to solve the defect that it is difficult to accurately estimate the flow velocity of the sewage pipe network in the prior art, and provide a method for detecting the flow velocity of the sewage pipe network based on information fusion and ARMA model to solve the above problems

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  • A sewage pipe network flow velocity detection method based on information fusion and an ARMA model
  • A sewage pipe network flow velocity detection method based on information fusion and an ARMA model
  • A sewage pipe network flow velocity detection method based on information fusion and an ARMA model

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[0043] In order to have a further understanding and understanding of the structural features of the present invention and the effects achieved, the preferred embodiments and drawings are used in conjunction with detailed descriptions, which are described as follows:

[0044] Such as figure 1 As shown, the method for detecting flow velocity of sewage pipe network based on information fusion and ARMA model according to the present invention includes the following steps:

[0045] The first step is the acquisition of multi-sensor data in the sewage pipe network, and the flow rate data content is read through the placed sensors.

[0046] In practical applications, combined with the characteristics of the pipe network system, the number and accuracy of sensors at each location of the sewage pipe network are determined artificially. Generally, the detection data of the pumping station reservoir (the sewage transmission route is long, and the pumping station needs to be set up in the middle...

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Abstract

The invention relates to a sewage pipe network flow velocity detection method based on information fusion and an ARMA model, which solves the defect that it is difficult to accurately estimate the sewage pipe network flow velocity compared with the prior art. The method comprises the following steps: acquiring multi-sensor data of a sewage pipe network; establishing an ARMA model; obtaining flow velocity results. The method realizes the rapid and accurate estimation of the flow data in the sewage pipe network system through the multi-sensor information fusion technology and the ARMA model.

Description

Technical field [0001] The invention relates to the technical field of data analysis, in particular to a method for detecting the flow rate of a sewage pipe network based on information fusion and an ARMA model. Background technique [0002] In the sewage pipe network system, due to the existence of an anaerobic environment, a large number of bacteria breed in the sediment in the pipe network, and their metabolism produces a large amount of sulfide. Sulfide has a corrosive effect on the pipe network. Long-term corrosion may cause the pipe network to rupture, and the sulfide itself will continue to emit odor, which has a negative impact on the health of the people and the civilized image of the city. The solution to this problem is generally targeted drug administration. Generally speaking, the drug administration in large and small cities in my country is constant drug administration, and a small number of cities will distinguish the dosage according to the morning and evening pe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01P5/00
CPCG01P5/00
Inventor 李恒张炎炎侯大有朱明山王峰肖卓磊张媛刘飞彪李啊敏陈佳琪张晨晨徐小东袁冬冬尹佳来
Owner FUYANG NORMAL UNIVERSITY
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