東濠涌深隧排水系統(tǒng)內(nèi)澇監(jiān)測與控制優(yōu)化研究
發(fā)布時間：2018-08-30 12:14
【摘要】：每逢遇到強降雨,廣州容易出現(xiàn)內(nèi)澇,對城市交通和居民生活造成較大的影響。為解決城市內(nèi)澇等方面的問題,廣州正在開展東濠涌深隧排水系統(tǒng)試驗段工程建設(shè)和研究。由于深隧排水系統(tǒng)構(gòu)成復(fù)雜,管理難度大,我國大陸又無此類工程可參考,因此需進一步探索高效、合理的深隧排水系統(tǒng)的調(diào)度運行方式。本文通過綜述國外深隧排水系統(tǒng)運行方式及我國城市排水和深隧建設(shè)情況,根據(jù)廣州東濠涌流域的排水系統(tǒng)現(xiàn)狀及現(xiàn)行調(diào)度運行方式,采用實際調(diào)研、理論分析研究、數(shù)學(xué)方法等理論與實際相結(jié)合的研究方法,進行東濠涌深隧排水系統(tǒng)內(nèi)澇監(jiān)測與控制優(yōu)化研究,主要研究成果如下:結(jié)合內(nèi)澇點現(xiàn)場調(diào)研以及內(nèi)澇統(tǒng)計數(shù)據(jù)、排水管網(wǎng)圖等資料,分析東濠涌流域2010年-2014年36個內(nèi)澇點情況,最終在東濠涌深隧排水系統(tǒng)上游的淺層排水管網(wǎng)增加選取12個內(nèi)澇點監(jiān)測點。所選內(nèi)澇監(jiān)測點能較好反映流域的內(nèi)澇情況,并均能通過深隧排水系統(tǒng)和淺層排水管網(wǎng)閘泵站進行內(nèi)澇控制,為實現(xiàn)東濠涌排水系統(tǒng)內(nèi)澇監(jiān)測與控制優(yōu)化提供必要的基礎(chǔ)條件。圍繞如何實現(xiàn)對內(nèi)澇點液位的實時監(jiān)測與預(yù)警,針對內(nèi)澇點環(huán)境特點和目前僅監(jiān)測路面積水的不足,基于給水排水、物聯(lián)網(wǎng)和自動化控制等專業(yè)技術(shù),設(shè)計構(gòu)建一套內(nèi)澇液位監(jiān)測系統(tǒng)。經(jīng)測試運行,系統(tǒng)能有效實現(xiàn)內(nèi)澇點液位、設(shè)備工況等數(shù)據(jù)信息采集與無線遠程傳輸,液位信息在線查詢以及歷史數(shù)據(jù)調(diào)用,實現(xiàn)對東濠涌深隧排水系統(tǒng)內(nèi)澇監(jiān)測優(yōu)化,并為深隧排水系統(tǒng)內(nèi)澇控制優(yōu)化研究提供實時、準(zhǔn)確的數(shù)據(jù)基礎(chǔ)。基于東濠涌流域[V漁崗片區(qū)內(nèi)澇監(jiān)測點的實測液位數(shù)據(jù),進行液位變化規(guī)律分析,并利用BP神經(jīng)網(wǎng)絡(luò)建立東濠涌流域[V漁崗片區(qū)的內(nèi)澇點與深隧排水系統(tǒng)、淺層排水系統(tǒng)閘站的液位變化關(guān)系模型。經(jīng)模型計算結(jié)果分析,東濠涌深隧東風(fēng)路豎井的開閘液位從7.50m(城建標(biāo)高)提高至8.38m(城建標(biāo)高),并可優(yōu)先利用淺層閘站進行內(nèi)澇控制。經(jīng)優(yōu)化后,可以減少深隧排水系統(tǒng)的使用次數(shù),降低深隧排水系統(tǒng)的運行維護成本,為探索高效、合理的深隧排水系統(tǒng)調(diào)度運行提供一種科學(xué)有效的方法。
[Abstract]:Whenever there is heavy rainfall, Guangzhou is prone to waterlogging, which has a great impact on urban traffic and residents' life. In order to solve the problems of urban waterlogging, Guangzhou is carrying out the construction and research of the test section of the Haozhou deep tunnel drainage system in Tung Chung. Because the structure of deep tunnel drainage system is complex and the management is difficult, and there is no such project in mainland China, it is necessary to further explore the efficient and reasonable dispatching and operation mode of deep tunnel drainage system. This paper summarizes the operation mode of deep tunnel drainage system in foreign countries and the situation of urban drainage and deep tunnel construction in our country. According to the present situation of drainage system and current dispatching operation mode of Donghao River Basin in Guangzhou, this paper adopts practical investigation and theoretical analysis and research. The main research results are as follows: combined with the field investigation of the waterlogging point and the statistical data of the waterlogging, the main research results are as follows: based on the combination of mathematical methods and practical research methods, the waterlogging monitoring and control optimization of the Tonghong Haohao deep tunnel drainage system is carried out. Based on the data of drainage network diagram and other data, the situation of 36 waterlogging points in Donghao River Basin from 2010 to 2014 is analyzed. Finally, 12 monitoring points are added to the shallow drainage pipe network in the upper reaches of Donghao deep tunnel drainage system. The selected waterlogging monitoring points can better reflect the waterlogging situation of the basin, and can be controlled by deep tunnel drainage system and shallow drainage pipe network sluice pump station, which provides the necessary basic conditions for the waterlogging monitoring and control optimization of Donghao drainage system. Focusing on how to realize the real-time monitoring and warning of the water level in the waterlogging point, aiming at the environmental characteristics of the waterlogging point and the shortage of only monitoring the surface water at present, the paper bases on the professional technologies such as water supply and drainage, Internet of things and automation control, etc. Design and build a set of waterlogging level monitoring system. After testing and running, the system can effectively realize the collection and wireless remote transmission of the water level of the waterlogging point, the working condition of the equipment, the on-line query of the liquid level information and the transfer of historical data, so as to realize the optimization of the waterlogging monitoring and optimization of the Donghao deep tunnel drainage system. It also provides real-time and accurate data base for waterlogging control optimization of deep tunnel drainage system. Based on the measured liquid level data of waterlogging monitoring points in Donghao River Basin, the variation law of water level is analyzed, and the waterlogging point and deep tunnel drainage system in Donghao River Basin [V Yugang area] are established by using BP neural network. Model of liquid level variation in sluice station of shallow drainage system. The results of the model analysis show that the opening liquid level of the Dongfeng shaft in Dongfeng deep tunnel is increased from 7.50m to 8.38m, and the shallow sluice station can be used for waterlogging control. After optimization, the operation and maintenance cost of deep tunnel drainage system can be reduced, which provides a scientific and effective method for exploring efficient and reasonable operation of deep tunnel drainage system.
【學(xué)位授予單位】：廣州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TU992
本文編號：2213040
[Abstract]:Whenever there is heavy rainfall, Guangzhou is prone to waterlogging, which has a great impact on urban traffic and residents' life. In order to solve the problems of urban waterlogging, Guangzhou is carrying out the construction and research of the test section of the Haozhou deep tunnel drainage system in Tung Chung. Because the structure of deep tunnel drainage system is complex and the management is difficult, and there is no such project in mainland China, it is necessary to further explore the efficient and reasonable dispatching and operation mode of deep tunnel drainage system. This paper summarizes the operation mode of deep tunnel drainage system in foreign countries and the situation of urban drainage and deep tunnel construction in our country. According to the present situation of drainage system and current dispatching operation mode of Donghao River Basin in Guangzhou, this paper adopts practical investigation and theoretical analysis and research. The main research results are as follows: combined with the field investigation of the waterlogging point and the statistical data of the waterlogging, the main research results are as follows: based on the combination of mathematical methods and practical research methods, the waterlogging monitoring and control optimization of the Tonghong Haohao deep tunnel drainage system is carried out. Based on the data of drainage network diagram and other data, the situation of 36 waterlogging points in Donghao River Basin from 2010 to 2014 is analyzed. Finally, 12 monitoring points are added to the shallow drainage pipe network in the upper reaches of Donghao deep tunnel drainage system. The selected waterlogging monitoring points can better reflect the waterlogging situation of the basin, and can be controlled by deep tunnel drainage system and shallow drainage pipe network sluice pump station, which provides the necessary basic conditions for the waterlogging monitoring and control optimization of Donghao drainage system. Focusing on how to realize the real-time monitoring and warning of the water level in the waterlogging point, aiming at the environmental characteristics of the waterlogging point and the shortage of only monitoring the surface water at present, the paper bases on the professional technologies such as water supply and drainage, Internet of things and automation control, etc. Design and build a set of waterlogging level monitoring system. After testing and running, the system can effectively realize the collection and wireless remote transmission of the water level of the waterlogging point, the working condition of the equipment, the on-line query of the liquid level information and the transfer of historical data, so as to realize the optimization of the waterlogging monitoring and optimization of the Donghao deep tunnel drainage system. It also provides real-time and accurate data base for waterlogging control optimization of deep tunnel drainage system. Based on the measured liquid level data of waterlogging monitoring points in Donghao River Basin, the variation law of water level is analyzed, and the waterlogging point and deep tunnel drainage system in Donghao River Basin [V Yugang area] are established by using BP neural network. Model of liquid level variation in sluice station of shallow drainage system. The results of the model analysis show that the opening liquid level of the Dongfeng shaft in Dongfeng deep tunnel is increased from 7.50m to 8.38m, and the shallow sluice station can be used for waterlogging control. After optimization, the operation and maintenance cost of deep tunnel drainage system can be reduced, which provides a scientific and effective method for exploring efficient and reasonable operation of deep tunnel drainage system.
【學(xué)位授予單位】：廣州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TU992
【參考文獻】
相關(guān)期刊論文 前10條
1 姚偉;李紹峰;高飛;陸光春;;一種基于城市路燈內(nèi)澇智能監(jiān)測系統(tǒng)[J];電子世界;2017年03期
2 董磊;張欣;;虹口港—走馬塘段深層排水調(diào)蓄隧道系統(tǒng)工程研究[J];給水排水;2016年06期
3 丁留謙;王虹;李娜;程曉陶;;美國城市雨污蓄滯深隧的歷史沿革及其借鑒意義[J];中國給水排水;2016年10期
4 王剛;周質(zhì)炎;;城市超深排(蓄)水隧道應(yīng)用及關(guān)鍵技術(shù)綜述[J];特種結(jié)構(gòu);2016年02期
5 邵鵬飛;趙燕偉;楊明霞;;城市內(nèi)澇監(jiān)測預(yù)警信息系統(tǒng)研究[J];計算機測量與控制;2016年02期
6 廖朝軒;高愛國;黃恩浩;;國外雨水管理對我國海綿城市建設(shè)的啟示[J];水資源保護;2016年01期
7 門絢;李冬;張杰;;國內(nèi)外深隧排水系統(tǒng)建設(shè)狀況及其啟示[J];河北工業(yè)科技;2015年05期
8 孫永尚;劉揚;趙軍合;王帥帥;;北京市內(nèi)澇積水監(jiān)測預(yù)警系統(tǒng)設(shè)計與實現(xiàn)[J];地理空間信息;2015年04期
9 唐磊;車伍;趙楊;;對我國城市建設(shè)雨洪控制隧道的思考[J];中國給水排水;2015年07期
10 李俊;;淺談常見液位計的特點及應(yīng)用[J];山東工業(yè)技術(shù);2015年03期
相關(guān)重要報紙文章 前1條
1 劉華;;東京：排水系統(tǒng)重規(guī)劃、重細節(jié)、重投入[N];經(jīng)濟參考報;2012年
相關(guān)碩士學(xué)位論文 前3條
1 周小莉;基于InfoWorks水力模型在排水管網(wǎng)運行管理中的應(yīng)用[D];廣州大學(xué);2012年
2 楊麗;GPRS技術(shù)在城市排水監(jiān)測系統(tǒng)中的研究與應(yīng)用[D];合肥工業(yè)大學(xué);2012年
3 劉冬英;人工神經(jīng)網(wǎng)絡(luò)模型在長江中下游河道洪水預(yù)報中的應(yīng)用研究[D];武漢大學(xué);2005年
，本文編號：2213040
本文鏈接：http://sikaile.net/jianzhugongchenglunwen/2213040.html
最近更新
教材專著
