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Research And Design A Monitoring Simulation System For Airport Energy Consumption Based On IOT

Posted on:2015-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:K B XieFull Text:PDF
GTID:2348330509458820Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In recent years, with the expanding scale of our airports, the problem of energy efficiency is increasingly outstanding. To further explore the airport energy-saving space, the design of an efficient and accurate energy consumption monitoring system is needed. The monitoring system can provide a decision support for the airport decision makers to develop energy-saving measures and strengthen the scientific management of the airport energy.The purpose of the study subject is to research and design a monitoring simulation system for the airport energy consumption. The system is based on the energy consumption acquisition system based on IOT of one airport. We build a virtual reality environment to simulate the actual process of monitoring the airport energy consumption. The system can predict the future energy consumption of the airport, and analysis the energy consumption structure and energy efficiency.The main research work of this paper is listed as follows:Firstly, on the basis of investigating and researching the actual situation of the energy consumption among our representative airports, we build the measurement model, monitoring indictors and monitoring dimension of airport energy consumption, and research the acquisition method of energy consumption data.Secondly, we build an unbiased grey markov prediction model to predict annual energy consumption data of the future. Accelerate the translation transformation and geometric mean transformation of original energy consumption data sequence firstly. Then use the unbiased GM(1,1) model to predict the airport energy consumption. Finally, correct the prediction results with markov method.Thirdly, we build an unbiased grey season markov prediction model to predict monthly/quarterly energy consumption data of the future. Correct the original airport energy consumption data with the seasonal index firstly. Then use the unbiased grey markov prediction model to predict the airport energy consumption.Finally, we design a monitoring simulation system for the airport energy consumption based on the energy consumption acquisition program and the prediction model of the energy consumption.
Keywords/Search Tags:IOT, airport energy consumption, unbiased GM(1,1) model, markov method, seasonal index
PDF Full Text Request
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