摘要
根据实际需求对空调系统进行控制是提高空调运行能效的有效手段,室内人员的数量信息是空调按需控制的基础。当前基于环境信息和通信技术的人员检测方法面临检测精度低、易受干扰等缺点,提出了一种基于像素的人数检测方法,对比了3种主流的背景分离算法,发现自适应自组织网络算法有潜力用于室内人员检测。
Controlling air conditioning systems based on the actual demand is an effective measure to improve the system operation efficiency. The occupant information is the basis of the demand-based air conditioning control. The current occupant detection methods based on the environmental information and communication technologies face disadvantages such as low detection precision and susceptible to interference, this paper proposes an indoor occupant number realtime detection method based on pixels. Comparing the performance of three kinds of mainstream background subtraction algorithms, it is found that the adaptive self-organizing map algorithm has a good potential in indoor occupant detection.
出处
《节能》
2020年第8期65-68,共4页
Energy Conservation
关键词
空调按需控制
人员检测
背景分离技术
Key works:demand-based air conditioning control
occupant detection
background subtraction
