本文選題：智慧能源 + 節(jié)能控制　； 參考：《長江大學》2015年碩士論文

【摘要】：隨著霧霾現(xiàn)象和能源供需矛盾日益嚴峻,節(jié)能環(huán)保越來越被重視和提倡,中國居民用戶及工商企業(yè)用戶在改進能源利用方式、提高能源利用效率、促進能源節(jié)約等方面的需求將會越來越迫切。目前國內(nèi)對于節(jié)能服務主要針對大型建筑,“耗能大戶”企業(yè)等,而對于家庭住宅方面的節(jié)能基本還處于起步階段,而且人們對于家庭節(jié)能的意識淡薄,大量的不恰當使用電器及不恰當?shù)挠秒娏晳T普遍存在,電能浪費巨大。因此,家庭住宅節(jié)能推廣,提高國人節(jié)能環(huán)保意識勢在必行。本文中的智慧能源管理系統(tǒng)是在參照大型建筑節(jié)能系統(tǒng)的基礎上,結合家庭用能情況,以家庭為單位的節(jié)能系統(tǒng)。該系統(tǒng)通過采集用戶各用電設備的電參數(shù),使用時段和時序等,獲取大量數(shù)據(jù)進行分析和整合,給用戶提供直觀的能源消耗數(shù)據(jù)。系統(tǒng)充分利用當前流行的云計算和大數(shù)據(jù)技術,采用互聯(lián)網(wǎng)技術、通信技術和物聯(lián)網(wǎng)感測技術等現(xiàn)代化信息技術以及科學的統(tǒng)計學、運籌學等專業(yè)知識,構建的云端數(shù)據(jù)倉庫與智慧能源管理平臺,為用戶量身定制個性化的用電優(yōu)化解決方案計劃。讓用戶了解自身不合理的用電習慣,并轉(zhuǎn)變部分不合理的用電習慣,養(yǎng)成良好的用電意識和習慣,從而達到節(jié)能的目的。系統(tǒng)分為前端子系統(tǒng)和后端子系統(tǒng)兩部分。其業(yè)務流程分為：設備層、傳感層、應用層、平臺層和客戶端。設備層即用戶各用電設備,與傳感層的智能計量表相連；應用層采用網(wǎng)關同時對多個智能計量表進行管理；平臺層主要用于數(shù)據(jù)的存儲、處理和分析；客戶端即用戶登錄本系統(tǒng)的途徑,包括Web登錄和手機App登錄。本人主要承擔后端子系統(tǒng)的開發(fā)工作,數(shù)據(jù)的采集、傳輸、校驗、處理、存儲和整理；數(shù)據(jù)庫的設計、部署和維護；用戶用電行為的部分分析及節(jié)電優(yōu)化的部分設計。數(shù)據(jù)傳輸過程中,從站與主站間采用ZigBee無線通信方式,協(xié)議為ModbusRTU；主站與服務器間采用UDP傳輸協(xié)議,數(shù)據(jù)的校驗用CRC校驗。數(shù)據(jù)庫使用開源的MySQL數(shù)據(jù)庫,數(shù)據(jù)庫設計參照國家有關規(guī)定并結合系統(tǒng)本身進行設計,除了直接采用四類標準數(shù)據(jù)庫表外,增加了用戶能耗管理類和系統(tǒng)開發(fā)輔助類兩類數(shù)據(jù)庫表。系統(tǒng)通過對用戶耗能數(shù)據(jù)的分析,根據(jù)用戶用電行為習慣,給出合理的節(jié)能優(yōu)化措施,提高用戶的節(jié)能意識。本文最后給出了系統(tǒng)Web端的數(shù)據(jù)展示效果,基本達到了該項目的一期要求。
[Abstract]:Along with the haze phenomenon and the contradiction between energy supply and demand increasingly serious, energy saving and environmental protection are paid more and more attention to and advocated. Chinese residents and industrial and commercial users are improving the energy use mode and improving the energy use efficiency. The need to promote energy conservation and so on will be more and more urgent. At present, domestic energy saving services are mainly aimed at large buildings, "energy-consuming large households" enterprises and so on. However, the energy saving in family housing is still in its infancy, and people have a weak awareness of household energy conservation. A large number of improper use of electrical appliances and improper use of electricity habits are widespread, power waste is huge. Therefore, the family housing energy-saving promotion, improve the awareness of energy conservation and environmental protection is imperative. The intelligent energy management system in this paper is an energy saving system based on the large building energy saving system and combined with the situation of household energy use. The system acquires a large amount of data for analysis and integration by collecting the electric parameters, time periods and time series of the users' various electric equipments, and provides the users with intuitive energy consumption data. The system makes full use of the current popular cloud computing and big data technologies, adopts modern information technology, such as Internet technology, communication technology and Internet of things sensing technology, as well as scientific statistics, operational research and other professional knowledge. The cloud data warehouse and intelligent energy management platform are constructed to customize the personalized power optimization solution plan for users. Let users understand their unreasonable power habits, and change some unreasonable power habits, develop a good awareness and habits of electricity, so as to achieve the purpose of energy saving. The system is divided into two parts: front-end subsystem and back-end subsystem. Its business process is divided into: device layer, sensor layer, application layer, platform layer and client. The device layer is connected with the intelligent meter of the sensor layer, the application layer uses the gateway to manage the multiple intelligent meters, the platform layer is mainly used for data storage, processing and analysis. Client namely user login this system way, including Web login and mobile phone App login. I am mainly responsible for the development of the back-end subsystem, data collection, transmission, verification, processing, storage and collation; database design, deployment and maintenance; part analysis of the user's electricity consumption behavior and power saving optimization part design. In the process of data transmission, the slave station and master station adopt ZigBee wireless communication mode, the protocol is Modbus RTU, the main station and server adopt UDP transmission protocol, and the data is verified by CRC. The database uses the open source MySQL database, the database design refers to the relevant regulations of the country and combines the system itself to design, in addition to adopting four kinds of standard database tables directly, Two kinds of database tables, user energy consumption management class and system development assistant class, are added. Through the analysis of the energy consumption data of the users and according to the behavior of the users, the reasonable energy saving optimization measures are given to improve the energy saving consciousness of the users. At the end of this paper, the data display effect of the Web end of the system is given, which basically meets the requirements of the first stage of the project.
【學位授予單位】：長江大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TU855;TP311.13

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本文編號：1973611