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The Study Of A Fuzzy Evaluation Model Of Water Supply Pipeline Health Based On FAHP-RS Weight Analysis

Posted on:2016-02-10Degree:MasterType:Thesis
Country:ChinaCandidate:Z D ChenFull Text:PDF
GTID:2272330461455907Subject:Municipal engineering
Abstract/Summary:PDF Full Text Request
Urban water supply is the lifeblood of the city. It is essential material basis for people’s lives and the development of production construction and is directly related to social stability and economic development. At present, urban water supply network in our country faces many serious problems. Pipeline leakage is serious because of water supply pipeline aging. The layout of water supply network is illogical and the level of operation management is low. With the increasingly serious water shortage, water restrictions and rising costs of nervous energy, the leakage of urban water supply network and its control has become an important topic in the industry. It is an effective approach to ensure the safety of water supply if the health status of water supply pipe can be accurately understood and taken measures to maintain. Research the method of water supply pipeline health evaluation can improve the pertinence of the pipeline detection and it make for guaranteeing the safety of water supply and reducing the economic loss. In this paper, establishment of fuzzy evaluation model for water supply pipelines’health has been researched basis on the analysis of influencing factors for the pipeline health of TX Town of Guangdong Province.Firstly, this study had finished the analysis of factors influencing the burst and leakage of water pipeline and discussed the influence rule of each factors basis on the static attribute data, dynamic operating data and maintenance data of the water supply network in the town. The results show that the accident coefficient decreases with the diameter increasing. The accident probability of pipe material arrange in descend order, which show as:steel pipe; concrete pipe; gray cast iron pipe; ductile iron pipe; PE pipe. The accident coefficient decreases with the thickness of covering soil increasing. The accident probability of pipeline will increase while water supply pipeline aging. The accident coefficient of pipelines’flow velocity shows the ascendant trend after dropping first with the flow velocity increasing. And the higher the water pressure of pipeline, the higher the accident probability. Within the scope of data of this studies, no significant correlation between the air temperature and the burst or leakage of water pipeline was found. Take diameter; pipe material; thickness of covering soil; pipe age; flow velocity and water pressure as independent variables while pipeline failure frequency as dependent variable, then confirm the priority of factors influencing the burst and leakage of water pipeline. The result show that the combined influence of various influencing factor arrange in descend order, which show as:pipe age> thickness of covering soil>diameter>pipe material>flow velocity>water pressure.Secondly, in order to establish the health evaluation index system of the town’s water supply network, this paper has confirmed diameter; pipe material; thickness of covering soil; pipe age; flow velocity and water pressure as the health evaluation index of the water supply pipeline that basis on the analysis result of factors influencing the burst and leakage of water pipeline in TX Town. To calculate the weight of each evaluation index by FAHP-RS combined weighting method upon optimization theory, and the result show as: diameter=0.1659; pipe material=0.1595; thickness of covering soil=0.2109; pipe age=0.2140; flow velocity=0.1412; water pressure=0.1085.Finally, united with FAHP-RS combined weighting method and fuzzy comprehensive evaluation to establish the fuzzy evaluation model for water supply pipelines’health. The model have been test and the result show that the evaluation precision of this model is 82.35%. The model can use to evaluate the health of the pipelines. To evaluate the health of all the water supply pipelines in TX Town and receive the distribution of pipeline health level show as:33.20% very healthy; 29.23% healthy; 20.72% sub healthy; 3.96 fragile; 12.89%very fragile. Apparently, the healthy pipelines of the water supply network are in the majority, and this result is consistent with present situation of the water supply network in TX Town.
Keywords/Search Tags:water supply network, health degree, combined weighting method, fuzzy evaluation
PDF Full Text Request
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