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Design And Realization Of Intelligent Lighting Control System Using Energy Harvesting Network Of EnOcean

Posted on:2018-04-24Degree:MasterType:Thesis
Country:ChinaCandidate:S L MaoFull Text:PDF
GTID:2392330605953613Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The intelligent lighting control plays a significant role in saving power.However,The limited lifetime of traditional wireless sensor network can't satisfy the requirements of self-maintenance.With the development of energy harvesting technology,the introduction of energy havesting in wireless sensor network to extend the lifetime becomes the inevitable trend.In this thesis,an intelligent lighting control system with self-power and maintenance-free characteristics is designed based on the enery harvesting network of EnOcean.The system organized the intelligent lighting devices by the energy havesting wireless sensor network of En Ocean.The energy banlanced dynamic max flow routing algorithm was proposed to maximize the load flow and prolong the lifetime of the energy havesting wireless sensor network.To realize the remote time synchronization between the intelligent lighting control platform and the gateway in Internet and ensure the correct data collection time and the accurate transmission of the control commands in the system,the time synchronization software was designed.Furthermore,the time prediction algorithm was designed to optimize the selection of the remote time servers and improve the time accuracy of the remote intelligent lighting control system.Finally,the intelligent lighting control platform software was designed to provide the concise and friendly operation interface for the users,which used B/S pattern development,so that it greatly reduced the cost of system development and maintenance,and made the system expand easily.The simulation results of the proposed routing algorithm for the energy harvesting wireless sensor network show that the proposed routing algorithm can effectively maximize the data load and prolong the lifetime of the network.The time prediction algorithm in the lighting control system can improve the time accuracy of the system,and the software testing results also show that the time prediction algorithm achieves the desired effect.The lighting control system software based on B/S model can run stably and meet the requirements of the intelligent lighting control.
Keywords/Search Tags:Intelligent lighting control system, Energy Harvesting Wireless Sensor Network(EHWSN), En Ocean, Time synchronization, B/S model
PDF Full Text Request
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