基于机器视觉的室内环境控制方法
Indoor environment control method besed on computer vision
摘要：
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。
Abstract：
For solving the problem that the current building management system is unable to acquire building occupant information to make according control, presents an indoor environment control method and system based on computer vision, which identifies occapants’ location, density and activity information by computer vision, and combines with the information from other indoor sensors to control heating and cooling equipment in the building. Simulates and compares this method with the traditional control method, and the results show that thermal comfort level is improved and demand-based heating and cooling can be realized through the effective adoption of the computer vision technology.
Keywords:computer vision, indoor environment control, occupant information, PID controller, comprehensive evaluation index