智慧能源管理系统数据采集分析及存储优化设计与实现

发布时间：2018-06-03 17:33

  本文选题：智慧能源 + 节能控制　； 参考：《长江大学》2015年硕士论文

【摘要】：随着雾霾现象和能源供需矛盾日益严峻,节能环保越来越被重视和提倡,中国居民用户及工商企业用户在改进能源利用方式、提高能源利用效率、促进能源节约等方面的需求将会越来越迫切。目前国内对于节能服务主要针对大型建筑,“耗能大户”企业等,而对于家庭住宅方面的节能基本还处于起步阶段,而且人们对于家庭节能的意识淡薄,大量的不恰当使用电器及不恰当的用电习惯普遍存在,电能浪费巨大。因此,家庭住宅节能推广,提高国人节能环保意识势在必行。本文中的智慧能源管理系统是在参照大型建筑节能系统的基础上,结合家庭用能情况,以家庭为单位的节能系统。该系统通过采集用户各用电设备的电参数,使用时段和时序等,获取大量数据进行分析和整合,给用户提供直观的能源消耗数据。系统充分利用当前流行的云计算和大数据技术,采用互联网技术、通信技术和物联网感测技术等现代化信息技术以及科学的统计学、运筹学等专业知识,构建的云端数据仓库与智慧能源管理平台,为用户量身定制个性化的用电优化解决方案计划。让用户了解自身不合理的用电习惯,并转变部分不合理的用电习惯,养成良好的用电意识和习惯,从而达到节能的目的。系统分为前端子系统和后端子系统两部分。其业务流程分为：设备层、传感层、应用层、平台层和客户端。设备层即用户各用电设备,与传感层的智能计量表相连；应用层采用网关同时对多个智能计量表进行管理；平台层主要用于数据的存储、处理和分析；客户端即用户登录本系统的途径,包括Web登录和手机App登录。本人主要承担后端子系统的开发工作,数据的采集、传输、校验、处理、存储和整理；数据库的设计、部署和维护；用户用电行为的部分分析及节电优化的部分设计。数据传输过程中,从站与主站间采用ZigBee无线通信方式,协议为ModbusRTU；主站与服务器间采用UDP传输协议,数据的校验用CRC校验。数据库使用开源的MySQL数据库,数据库设计参照国家有关规定并结合系统本身进行设计,除了直接采用四类标准数据库表外,增加了用户能耗管理类和系统开发辅助类两类数据库表。系统通过对用户耗能数据的分析,根据用户用电行为习惯,给出合理的节能优化措施,提高用户的节能意识。本文最后给出了系统Web端的数据展示效果,基本达到了该项目的一期要求。
[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.
【学位授予单位】：长江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU855;TP311.13

【参考文献】

中国期刊全文数据库 前1条

1 马宝甫;CRC校验快速查表算法及其应用[J];计算机工程与应用;1997年07期

中国硕士学位论文全文数据库 前2条

1 单倩敏;节能控制与能耗监测管理系统的数据库设计与实现[D];山东大学;2012年

2 纪祥和;物联网环境下家庭节能控制装置研究与实现[D];山东建筑大学;2014年

，

本文编号：1973611