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针对目前楼宇控制系统无法获得建筑物内人员信息并进行针对性控制的问题,提出一种基于机器视觉的室内环境控制方法和系统,可通过机器视觉识别建筑物内人员的位置、数量、活动情况等信息,将该信息与室内其他传感器的信息相融合,从而对建筑物内供冷供热设备进行控制。对该控制方法与传统控制方法进行了模拟对比研究,结果表明视觉信息的引入能够提高舒适度指标,同时能够实现按需供冷供热。
Aiming at the problem that the building control system can not obtain the personnel information and control it, this paper proposes a method and system of indoor environment control based on machine vision, which can identify the position, quantity and activity of personnel in the building through machine vision And other information, the information with other indoor sensor information fusion, so as to control the cooling and heating equipment in the building. The comparison between the control method and the traditional control method is carried out. The results show that the introduction of visual information can improve the comfort index and at the same time can supply on-demand cooling.