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基于人体轮廓检测算法的自习室照明控制系统 被引量：1

Self-study room lighting control system based on human contour detection algorithm
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摘要 针对自习室自然光利用率低、电能浪费严重等情况,设计了一种基于人体轮廓检测算法的自习室照明分区控制系统。本地控制器通过Socket通信技术将传感器及摄像头采集到的数据发送到系统服务器,系统服务器通过人体轮廓检测技术及照明分区控制策略处理数据,将处理结果返回本地控制器,控制灯组开闭及恒照度调光。远程手机端通过微信公众平台实时查询自习室人数及光照强度。测试结果表明,本系统运行稳定,具有一定的实用价值。 In view of the low utilization of natural light and serious energy waste in the self-study room, a lighting control system for self-study room is designed based on human contour detection algorithm. The local controller sends the data that collected by sensor and camera to the server by Socket communication technology, the system server analyzes the data by human contour detection algorithm and lighting zoning control strategy, then sends the results to local controller, controls the lamps and realizes the constant illuminance, the remote-mobile can query the number of self-study room and lighting intensity in real time by We Chat. The result shows that the system has remarkable energy saving effect and practical value.
作者 宫姗姗 李允俊
机构地区 延边大学工学院
出处 《计算机时代》 2018年第1期49-53,共5页 Computer Era
关键词 人体轮廓检测 HOG SVM分类算法 分区照明控制 MODBUS协议 human contour detection HOG SVM classification algorithm zoning lighting control Modbus protocol
分类号 TP319 [自动化与计算机技术—计算机软件与理论]
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