城市內(nèi)澇在線監(jiān)控與信息服務(wù)數(shù)字化系統(tǒng)設(shè)計(jì)及監(jiān)測點(diǎn)優(yōu)化布置研究
本文選題:城市內(nèi)澇 + 實(shí)時(shí)監(jiān)測; 參考:《華南理工大學(xué)》2014年碩士論文
【摘要】:城市內(nèi)澇問題歷來是人們關(guān)注的焦點(diǎn)。隨著城市化進(jìn)程的加劇,城市內(nèi)澇災(zāi)害頻頻發(fā)生。傳統(tǒng)的以“人巡”、“車巡”或安裝攝像頭監(jiān)控的方式為主的城市內(nèi)澇管理運(yùn)行模式己無法滿足現(xiàn)行的監(jiān)控需求,加強(qiáng)城市內(nèi)澇的遠(yuǎn)程數(shù)據(jù)采集、系統(tǒng)監(jiān)控能力以及科學(xué)地布置內(nèi)澇監(jiān)測點(diǎn)是目前城市內(nèi)澇研究和實(shí)踐的重要課題。 本文圍繞如何為城市內(nèi)澇災(zāi)害決策提供輔助支持,針對城市內(nèi)澇的特點(diǎn),提出了城市內(nèi)澇在線監(jiān)控與信息服務(wù)數(shù)字化系統(tǒng)的設(shè)計(jì)方案,開發(fā)了一套城市內(nèi)澇在線監(jiān)控與信息服務(wù)數(shù)字化系統(tǒng)的軟件。本系統(tǒng)基于物聯(lián)網(wǎng)和異網(wǎng)(互聯(lián)網(wǎng)Internet、手機(jī)短信GSM、電話網(wǎng)絡(luò)PSTN、ZigBee網(wǎng)絡(luò)、GPRS網(wǎng)絡(luò)、計(jì)算機(jī)局域網(wǎng)LAN)的信息交換技術(shù),采用統(tǒng)一的技術(shù)平臺(統(tǒng)一的數(shù)據(jù)協(xié)議、通訊網(wǎng)絡(luò)、數(shù)據(jù)庫共享),設(shè)計(jì)多層次系統(tǒng)體系結(jié)構(gòu),并開發(fā)ZigBee現(xiàn)場測控模塊、現(xiàn)場無線通訊網(wǎng)關(guān)、管理中心服務(wù)器、信息服務(wù)終端等系統(tǒng)硬軟件。有效實(shí)現(xiàn)工情、水情、雨情等全部城市排澇數(shù)據(jù)自動(dòng)在線遠(yuǎn)程采集和控制,以及城市排水防澇數(shù)據(jù)和調(diào)度控制信息的在線查詢,調(diào)度控制信息的網(wǎng)絡(luò)發(fā)布等服務(wù)功能,完成全方位的城市數(shù)字化排水防澇指導(dǎo)調(diào)度管理,大大降低城市內(nèi)澇損失。 本文將灰色關(guān)聯(lián)度分析法和模糊物元?dú)W式貼近度分析法應(yīng)用于城市內(nèi)澇監(jiān)測點(diǎn)的優(yōu)化布置方案選擇。通過對2010年5月珠江三角洲某城市河涌流域34個(gè)內(nèi)澇點(diǎn)的調(diào)查數(shù)據(jù)進(jìn)行分析,最后優(yōu)選20個(gè)受淹點(diǎn)作為內(nèi)澇監(jiān)測目標(biāo)區(qū)域。兩種方法均具有數(shù)據(jù)處理方式簡單、實(shí)現(xiàn)容易、效率高等特點(diǎn)。實(shí)際應(yīng)用中兩種方法可互相參考,互相補(bǔ)充,,以使優(yōu)選結(jié)果更為科學(xué)合理。并且針對沒有內(nèi)澇統(tǒng)計(jì)數(shù)據(jù)的情況,本文通過SWMM建立內(nèi)澇模型,有助于了解整個(gè)排水系統(tǒng)的運(yùn)行狀況,對內(nèi)澇點(diǎn)的位置及內(nèi)澇情況進(jìn)行預(yù)測,對城市內(nèi)澇監(jiān)測點(diǎn)優(yōu)化布置研究具有一定的參考價(jià)值。
[Abstract]:Urban waterlogging has always been the focus of attention. With the intensification of urbanization, urban waterlogging occurs frequently. The traditional urban waterlogging management operation mode, which is based on "man patrol", "car patrol" or installation of camera monitoring, can no longer meet the current monitoring needs, and strengthen the remote data collection of urban waterlogging. The system monitoring ability and the scientific arrangement of waterlogging monitoring points are important subjects in urban waterlogging research and practice. According to the characteristics of urban waterlogging, this paper puts forward the design scheme of online monitoring and information service digital system for urban waterlogging, focusing on how to provide auxiliary support for decision making of urban waterlogging disaster. A software of online monitoring and information service digital system for urban waterlogging is developed. The system is based on the information exchange technology of Internet of things (Internet of things, SMS GSM of mobile phone, GPRS network of telephone network PSTN / ZigBee, LAN of computer LAN), and adopts unified technology platform (unified data protocol, communication network, etc. Database sharing, the design of multi-level system architecture, and the development of ZigBee field measurement and control module, on-site wireless communication gateway, management center server, information service terminal and other system hardware and software. It can effectively realize the service functions of automatic online remote collection and control of all urban drainage data, such as working condition, water situation, rain condition, and online query of urban drainage and waterlogging data and dispatching control information, and network release of dispatching control information, etc. The comprehensive management of urban digital drainage and waterlogging control is completed, and the loss of urban waterlogging is greatly reduced. In this paper, grey correlation analysis and fuzzy matter-element European-style closeness analysis are applied to the optimal layout of urban waterlogging monitoring points. Based on the analysis of the survey data of 34 waterlogging points in a river basin of a city in the Pearl River Delta in May 2010, 20 flooded points were selected as the target areas for monitoring waterlogging. Both methods have the advantages of simple data processing, easy implementation and high efficiency. In practical application, the two methods can refer to each other and complement each other in order to make the optimal selection results more scientific and reasonable. Aiming at the situation that there is no statistical data of waterlogging, this paper establishes an internal waterlogging model through SWMM, which is helpful to understand the running condition of the whole drainage system, and to predict the location of the waterlogging point and the waterlogging situation. It has certain reference value for the study of optimal layout of urban waterlogging monitoring points.
【學(xué)位授予單位】:華南理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TU992
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