【摘要】：近年來在我國(guó)經(jīng)濟(jì)持續(xù)高速發(fā)展的同時(shí),也伴隨著能源緊張和環(huán)境惡化的巨大壓力,企業(yè)作為節(jié)能主體,應(yīng)該積極采取先進(jìn)節(jié)能管理方法與技術(shù),進(jìn)行能源利用管理。本文針對(duì)能源管理系統(tǒng)與節(jié)能技術(shù)的研究,結(jié)合先進(jìn)的物聯(lián)網(wǎng)技術(shù),設(shè)計(jì)并開發(fā)了基于物聯(lián)網(wǎng)技術(shù)的能源監(jiān)測(cè)與節(jié)能管理系統(tǒng)。根據(jù)高耗能企業(yè)能源管理的現(xiàn)狀以及實(shí)際需求分析,確定了設(shè)計(jì)本系統(tǒng)的系統(tǒng)運(yùn)行環(huán)境需求,并從功能上確定了能源監(jiān)測(cè)與節(jié)能管理系統(tǒng)5個(gè)基本功能需求和3個(gè)擴(kuò)展技術(shù)需求。5個(gè)基本功能需求包括:通信功能、存儲(chǔ)功能、數(shù)據(jù)展示功能、數(shù)據(jù)推送功能、分析決策功能。3個(gè)擴(kuò)展技術(shù)需求包括:針對(duì)多種能源數(shù)據(jù)的采集技術(shù)、智能輔助分析技術(shù)、數(shù)據(jù)分層采集及處理技術(shù)。根據(jù)系統(tǒng)的整體需求,對(duì)能源監(jiān)測(cè)與節(jié)能管理系統(tǒng)進(jìn)行了總體功能描述,并進(jìn)行了系統(tǒng)技術(shù)架構(gòu)和系統(tǒng)總體軟件架構(gòu)的設(shè)計(jì)。設(shè)計(jì)的技術(shù)架構(gòu)采用J2EE多層體系結(jié)構(gòu)及OSGi框架標(biāo)準(zhǔn)。系統(tǒng)總體軟件架構(gòu)采用自上而下的模式,分為客戶展示層、核心義務(wù)層、應(yīng)用支撐層和數(shù)據(jù)層。借鑒物聯(lián)網(wǎng)的思想,采用智能傳感器作為數(shù)據(jù)采集的關(guān)鍵部件,對(duì)多能源數(shù)據(jù)的采集技術(shù)進(jìn)行研究。設(shè)計(jì)的無(wú)線傳感器網(wǎng)絡(luò)結(jié)構(gòu)在星型結(jié)構(gòu)、樹狀結(jié)構(gòu)和網(wǎng)狀結(jié)構(gòu)中進(jìn)行選擇,無(wú)線傳感器網(wǎng)絡(luò)協(xié)議中關(guān)鍵的路由協(xié)議采用自適應(yīng)分簇分層路由協(xié)議(LEACH),最后以智能無(wú)線傳感網(wǎng)絡(luò)為基礎(chǔ)實(shí)現(xiàn)多種能源數(shù)據(jù)采集系統(tǒng),并給出了系統(tǒng)具體實(shí)現(xiàn)形式。在設(shè)計(jì)過程中,加入了多傳感器的信息融合,達(dá)到消除數(shù)據(jù)冗余,減小了數(shù)據(jù)傳輸量,進(jìn)一步降低能耗的目的。利用數(shù)據(jù)挖掘和云計(jì)算技術(shù),解決了海量數(shù)據(jù)存儲(chǔ)和海量數(shù)據(jù)處理,實(shí)現(xiàn)了智能輔助決策技術(shù)。首先利用數(shù)據(jù)挖掘技術(shù),構(gòu)建了企業(yè)能耗快速評(píng)估模型;然后提出了云計(jì)算技術(shù)在能源領(lǐng)域的應(yīng)用,并給出了云計(jì)算的實(shí)現(xiàn)機(jī)制;最后,綜合數(shù)據(jù)挖掘和云計(jì)算技術(shù),構(gòu)建了一種基于云計(jì)算的能源監(jiān)測(cè)與節(jié)能管理系統(tǒng),給出了系統(tǒng)的網(wǎng)絡(luò)結(jié)構(gòu)圖。論文設(shè)計(jì)的系統(tǒng)完善了能源信息的采集、存儲(chǔ)、管理與利用,降低了能源系統(tǒng)運(yùn)行管理成本,并提高勞動(dòng)生產(chǎn)率,完成多種能源數(shù)據(jù)的采集,實(shí)現(xiàn)了海量數(shù)據(jù)的存儲(chǔ)與處理,值得借鑒。
[Abstract]:In recent years, with the sustained rapid economic development in China, but also with the great pressure of energy tension and environmental deterioration, enterprises, as the main body of energy conservation, should actively adopt advanced energy-saving management methods and technologies, and carry out energy utilization management. Based on the research of energy management system and energy saving technology, the energy monitoring and energy saving management system based on Internet of things technology is designed and developed in this paper. According to the current situation of energy management in high energy consuming enterprises and the analysis of actual demand, the system running environment requirement of the system is determined. Five basic functional requirements and three extended technical requirements of the energy monitoring and energy saving management system are determined in terms of functions, including: communication function, storage function, data display function, data push function, and the following five basic functional requirements, including: communication function, storage function, data display function, data push function, etc. Analysis and decision function. Three extended technical requirements include: data acquisition technology for a variety of energy sources, intelligent assistant analysis technology, data stratification acquisition and processing technology. According to the overall demand of the system, the overall function of the energy monitoring and energy saving management system is described, and the system technical architecture and the overall software architecture of the system are designed. The design adopts J2EE multi-tier architecture and OSGi framework standard. The overall software architecture of the system adopts a top-down model, which is divided into customer presentation layer, core obligation layer, application support layer and data layer. Based on the idea of Internet of things, intelligent sensor is used as the key component of data acquisition, and the multi-energy data acquisition technology is studied. The network structure of wireless sensor is selected in star structure, tree structure and mesh structure. The key routing protocol in wireless sensor network is adaptive clustering and hierarchical routing protocol (LEACH),). Finally, based on the intelligent wireless sensor network, a variety of energy data acquisition system is implemented, and the specific realization form of the system is given. In the design process, multi-sensor information fusion is added to eliminate data redundancy, reduce the amount of data transmission, and further reduce energy consumption. The data mining and cloud computing technology are used to solve the problem of massive data storage and massive data processing, and the intelligent assistant decision technology is realized. Firstly, the enterprise energy consumption evaluation model is constructed by using data mining technology, then the application of cloud computing technology in the field of energy is put forward, and the implementation mechanism of cloud computing is given. Finally, an energy monitoring and energy saving management system based on cloud computing is constructed by integrating data mining and cloud computing technology, and the network structure of the system is given. The system designed in this paper has improved the collection, storage, management and utilization of energy information, reduced the operating cost of energy system, improved labor productivity, completed the collection of various energy data, and realized the storage and processing of massive data. It is worth learning from.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F206;TP391.44;TN929.5

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