城市供水管網(wǎng)實時監(jiān)控系統(tǒng)的設計與監(jiān)測點的優(yōu)化布置
發(fā)布時間:2018-05-14 07:04
本文選題:供水管網(wǎng) + 實時監(jiān)控。 參考:《華南理工大學》2013年碩士論文
【摘要】:隨著城市規(guī)模的不斷擴大,傳統(tǒng)的以人工協(xié)調(diào)操作為主的依靠經(jīng)驗的供水管網(wǎng)管理運行方式己無法滿足現(xiàn)行系統(tǒng)的需求,加強供水管網(wǎng)的遠程數(shù)據(jù)采集和監(jiān)控能力對整個城市的發(fā)展有著深遠的意義。為了進一步改善城市供水質(zhì)量、提高供水系統(tǒng)運行效率,應用基于計算機技術(shù)的城市供水管網(wǎng)監(jiān)控系統(tǒng)及科學地布置監(jiān)測點成為必然的發(fā)展趨勢。 本文針對供水管網(wǎng)管理運行特點,提出了城市供水管網(wǎng)實時監(jiān)控系統(tǒng)的設計方案,開發(fā)了一套城市供水管網(wǎng)實時監(jiān)控系統(tǒng)的的軟件。該系統(tǒng)采用了基于GPRS的通訊網(wǎng)絡,硬件部分采用華南理工大學開發(fā)的遠程測控終端(RTU),軟件部分使用亞控科技(組態(tài)王)的KingScada軟件進行城市供水管網(wǎng)實時監(jiān)控平臺的開發(fā)?梢詫崿F(xiàn)供水管網(wǎng)的實時遠程監(jiān)控、數(shù)據(jù)分析、故障診斷、數(shù)據(jù)查詢等功能。 并且針對城市供水管網(wǎng)壓力監(jiān)測點提出了一個優(yōu)化布置模型,該模型結(jié)合了壓力相關(guān)性及水量影響模糊相似矩陣,并用粒子群算法進行了求解。利用該優(yōu)化布置模型可以保證尋找到比隨機布設更優(yōu)良的布置方案。本研究對結(jié)合壓力相關(guān)性及水量影響模糊相似矩陣的城市供水管網(wǎng)壓力監(jiān)測點優(yōu)化布置模型進行了算例分析,,實現(xiàn)了壓力監(jiān)測點的自動優(yōu)化布置,使監(jiān)測范圍最大化,并且通過計算結(jié)果可以給出每個壓力監(jiān)測點的監(jiān)測區(qū)域,對于日后監(jiān)測點的合理布置提供了可靠的依據(jù)。 本文對該監(jiān)測點優(yōu)化布置模型和常見的基于需水量影響矩陣的模糊聚類分析進行了對比研究,本文提出的模型考慮了管網(wǎng)的拓撲結(jié)構(gòu),并結(jié)合了水壓分布和水力波動進行分析,提高了算法在實際工程中的可實施性和應用性。并將粒子群算法求解模型和遺傳算法進行對比,粒子群算法解一般比遺傳算法更快地收斂于最優(yōu)解,并且答案同樣準確,而且參數(shù)設置更加簡單。最后,在城市供水管網(wǎng)壓力監(jiān)測點優(yōu)化布置方案的選取上,從擴建性能出發(fā),進行了探討。
[Abstract]:With the continuous expansion of urban scale, the traditional management mode of water supply network management based on manual coordination is unable to meet the needs of the current system. Strengthening the remote data collection and monitoring ability of water supply network has far-reaching meaning for the development of the whole city. In order to further improve the quality of urban water supply, The operation efficiency of high water supply system, the application of computer technology based monitoring system for urban water supply network and the scientific layout of monitoring points become an inevitable trend.
In view of the running characteristics of water supply network management, the design scheme of real time monitoring and control system for urban water supply network is put forward, and a set of software for real-time monitoring and control system of urban water supply network is developed. The system adopts the communication network based on GPRS, the hardware part uses the remote control terminal (RTU) developed by South China University of Technology, and the software part is used. The KingScada software of sub control technology (Kingview) is used to develop the real time monitoring platform for urban water supply network. It can realize real-time remote monitoring, data analysis, fault diagnosis and data query.
An optimal layout model is proposed for the pressure monitoring point of urban water supply network. The model combines the pressure correlation and the influence of the water quantity to the fuzzy similarity matrix, which is solved by the particle swarm optimization. The optimal layout model of the pressure monitoring point of urban water supply pipe network is analyzed with the influence of the fuzziness and the water quantity which affects the fuzzy similarity matrix. The automatic optimization arrangement of the pressure monitoring point is realized, the monitoring range is maximized, and the monitoring area of every pressure monitoring point can be given through the calculation results, and the reasonable arrangement of the monitoring points after the day is put forward. A reliable basis is provided.
This paper makes a comparative study on the optimal layout model of the monitoring point and the common fuzzy cluster analysis based on the influence matrix of water demand. The proposed model takes into account the topology of the pipe network, and combines water pressure distribution and hydraulic fluctuation to improve the feasibility and applicability of the algorithm in practical engineering. The group algorithm solution model and genetic algorithm are compared. The particle swarm optimization algorithm generally converges to the optimal solution faster than the genetic algorithm, and the answer is equally accurate, and the parameter setting is simpler. Finally, the selection of the optimal layout scheme of the pressure monitoring point in the urban water supply network is discussed from the expansion performance.
【學位授予單位】:華南理工大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TU991.62
【參考文獻】
相關(guān)期刊論文 前10條
1 王俊嶺;孫懷軍;;給水管網(wǎng)測壓點的一種優(yōu)化布置方法[J];北京建筑工程學院學報;2005年04期
2 趙春會;侯煜X;杜永勝;;供水管網(wǎng)主控壓力點的選擇[J];管道技術(shù)與設備;2007年04期
3 王訓儉,王增義;論給水管網(wǎng)壓力監(jiān)測點的選擇[J];中國給水排水;1989年03期
4 黃廷林,叢海兵;給水管網(wǎng)測壓點優(yōu)化布置的模糊聚類法[J];中國給水排水;2001年11期
5 張宏偉,張麗,梁建文;給水管網(wǎng)壓力監(jiān)測點的布置方法[J];中國給水排水;2003年03期
6 郭思元,劉遂慶,陳嶸;給水管網(wǎng)壓力監(jiān)測點的優(yōu)化布置[J];中國給水排水;2004年12期
7 許剛;張土喬;呂謀;;基于靈敏度分析和蟻群算法的管網(wǎng)監(jiān)測點優(yōu)化選擇[J];中國給水排水;2007年11期
8 黃仲杰;香港供水技術(shù)和管理[J];中國給水排水;1999年01期
9 馬濤;;供水管網(wǎng)在線測壓點布置的探討[J];黑龍江水利科技;2006年01期
10 莊恒揚,沈新平,陸建飛,黃麗芬;模糊聚類計算方法的理論分析[J];江蘇農(nóng)學院學報;1998年03期
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