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Research Optimization Of Central Heating Pipeline System Based On Internet-of-Things

Posted on:2017-10-01Degree:MasterType:Thesis
Country:ChinaCandidate:S JingFull Text:PDF
GTID:2322330482995130Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
For the past few years,with the improvement of people's living standard,the demand for heating is higher and higher,the city's central heating with its high efficiency,low energy consumption,low pollution and so on,gradually occupy the whole heating market.Although there are more than 360 cities have installed central heating in China,central heating in our country still face a lot of problems: human resources cost investment,information level is not high,low efficiency,control technology is not perfect.In order to solve these problems very well and improve people's quality of heating,some transformation and optimization research of central heating system is imperative.This paper tries to seek a solution to put forward in this answer.First of all,this paper under the premise of the review of the past literature,analyzes four kinds of regulation of the central heating system: quality adjustment,flow adjustment,phase change flow of quality regulation,intermittent regulation,then analysis two main parameters of the central heating adjustment process: thermal load calculation and hydraulic calculation,finally simply describe the problem often encountered in the heating: hydraulic imbalance.Secondly,the information construction of central heating system is put forward,the communication network with GPRS and DTU as the main means of communication is established,and the control center of the system is analyzed and designed.The control center system consists of three modules: data acquisition,remote monitoring and system service.In the information platform,it puts forward the module of intelligent adjustment,which provides the basis for the optimization of the system.Finally,the optimization of the central system is studied from two aspects.In the first aspect,based on the known users' thermal load,according to the outdoor temperature,heating in accordance with 8 phases in one day.The second aspect,in order to better solve the hydraulic imbalance,this paper with two support vector machine model as the basis to solve the hydraulic coupling phenomenon between the two heating pipes,overcome the difficulties in flow adjustment of heating system regulation,and make flow adjustment more perfect.Finally the paper takes a simulation experiment on the model with MATLAB and achieved good results.It proves that the model can solve the hydraulic coupling problem effectively,and make up for the insufficient of the previous way through the device to solve the problem.
Keywords/Search Tags:central heating, Internet of things, hydraulic imbalance, support vector machine
PDF Full Text Request
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