基于物联网技术的能源监测与节能管理系统研究
发布时间：2019-01-28 10:07
【摘要】：近年来在我国经济持续高速发展的同时,也伴随着能源紧张和环境恶化的巨大压力,企业作为节能主体,应该积极采取先进节能管理方法与技术,进行能源利用管理。本文针对能源管理系统与节能技术的研究,结合先进的物联网技术,设计并开发了基于物联网技术的能源监测与节能管理系统。根据高耗能企业能源管理的现状以及实际需求分析,确定了设计本系统的系统运行环境需求,并从功能上确定了能源监测与节能管理系统5个基本功能需求和3个扩展技术需求。5个基本功能需求包括:通信功能、存储功能、数据展示功能、数据推送功能、分析决策功能。3个扩展技术需求包括:针对多种能源数据的采集技术、智能辅助分析技术、数据分层采集及处理技术。根据系统的整体需求,对能源监测与节能管理系统进行了总体功能描述,并进行了系统技术架构和系统总体软件架构的设计。设计的技术架构采用J2EE多层体系结构及OSGi框架标准。系统总体软件架构采用自上而下的模式,分为客户展示层、核心义务层、应用支撑层和数据层。借鉴物联网的思想,采用智能传感器作为数据采集的关键部件,对多能源数据的采集技术进行研究。设计的无线传感器网络结构在星型结构、树状结构和网状结构中进行选择,无线传感器网络协议中关键的路由协议采用自适应分簇分层路由协议(LEACH),最后以智能无线传感网络为基础实现多种能源数据采集系统,并给出了系统具体实现形式。在设计过程中,加入了多传感器的信息融合,达到消除数据冗余,减小了数据传输量,进一步降低能耗的目的。利用数据挖掘和云计算技术,解决了海量数据存储和海量数据处理,实现了智能辅助决策技术。首先利用数据挖掘技术,构建了企业能耗快速评估模型;然后提出了云计算技术在能源领域的应用,并给出了云计算的实现机制;最后,综合数据挖掘和云计算技术,构建了一种基于云计算的能源监测与节能管理系统,给出了系统的网络结构图。论文设计的系统完善了能源信息的采集、存储、管理与利用,降低了能源系统运行管理成本,并提高劳动生产率,完成多种能源数据的采集,实现了海量数据的存储与处理,值得借鉴。
[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.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F206;TP391.44;TN929.5
本文编号：2416961
[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.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F206;TP391.44;TN929.5
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