Font Size: a A A

Research And Realization Of Household Metering Method And System Based On Internet Of Things

Posted on:2018-06-24Degree:MasterType:Thesis
Country:ChinaCandidate:S W LiFull Text:PDF
GTID:2348330533459268Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
District heating is the main heating mode in the north of China.With the increasingly severe situation of available resources,measurement charging by heating areas is difficult to meet the needs of energy conservation and emission reductions and users' thermal comfort requirements.Recently,a district heating household metering method of ‘equal charge for equal thermal comfort' came into being.However,how to effectively implement the heat-metering method of ‘equal charge for equal thermal comfort' is a major challenge in district heating meter.The Wireless Sensor Technology is undoubtedly an important means of achieving household heat metering.Therefore,this paper mainly studies and analyzes the key technical problems in the design and implementation of the district heating household metering based on the Internet of Things.We often adopted in a form of one-node deployment in the design and implementation of the district heating household-metering based on the Internet of Things,which is a relatively sparse form of deployment compared with the low-power wireless sensor network,and the transmission status of the node is closely related to the deployment location of nodes.How to achieve more reliable data transmission in the more sparse node deployment environment is one of the key technologies.In addition,the household temperature collection is the basis of achieving the ‘equal charge for equal thermal comfort',how to reduce or eliminate a variety of human factors,and collect users' terminal heat temperature data more effectively is another problem to be solved in the process of heat measurement.Therefore,this paper focuses on the data transmission technology in sparse networks and the thermal behavior prediction technology of terminal hot users.A method of data acquisition based on RSSI opportunity routing is proposed,and SVM classification algorithm is introduced to realize room temperature prediction,and finally to achieve the implementation of the district heating household metering based on the Internet of Things.The main work of the paper is as follows:(1)Based on the analysis of the classic routing algorithm in sparse node deployment environment,a method of data collection based on RSSI opportunistic routing is proposed for the deployment characteristics of wireless terminal nodes in district heating household metering system based on the Internet of things.The feasibility and reliability of the algorithm are verified by experimental simulation.(2)Terminal hot user's hot cheating mainly includes a long time window-opening,active exotherm,interference temperature sensor and so on,in order to collect the heat temperature of each household more accurately,we study the behavior of terminal hot users.In this paper,the classification prediction algorithm based on SVM is introduced,and the relationship between indoor temperature and outdoor temperature,valve opening degree and time is analyzed in three kinds of cooling,heating and heat preservation.Through the algorithm,the real-time analysis of the indoor temperature is realized,and it is helpful to judge whether the hot user of the terminal has hot cheating.(3)Based on the principle of ‘equal charge for equal thermal comfort',a disitrict heating household metering scheme based on the temperature area method is proposed.A scheme of district heating household metering system based on Internet of Things is designed.In order to guarantee the security of data transmission,the management mechanism of remote terminal and secret key is introduced.At the same time,the remote management system based on Web and the software based on Net are designed to realize remote data acquisition and monitoring.
Keywords/Search Tags:Central Heating, RSSI, Opportunistic Routing, Reliable Transmission, SVM Classification, Abnormal with heat
PDF Full Text Request
Related items