Research On Intelligent Building Lighting System Based On Video Data Analysis

The construction industry is a key industry related to national competitiveness and national economy and people’s livelihood.With the development of new-generation information technologies such as artificial intelligence and the nternet of things and the increasing energy consumption of buildings,higher requirements have been placed on the development of intelligent building technology.Building interior lighting energy consumption accounts for up to 30% of total building energy consumption.Building intelligent lighting systems are an important part of building intelligent systems.Improving the visual comfort of indoor light environments and reducing lighting energy consumption have become the bottlenecks in the development of lighting system technology.The traditional lighting control system has a single function,and the energy saving effect in public buildings is not significantly improved.Commonly used indoor personnel positioning methods based on infrared and radio frequency technologies have disadvantages such as high cost and poor universality.Therefore,this paper has conducted in-depth research on the spatial distribution and positioning of indoor personnel based on video,intelligent lighting control strategies of human-in-the-loop,and system software and hardware development.A system platform was set up in the laboratory and experimental verification was performed.The main research contents and contributions of this article are as follows:(1)This paper systematically summarizes the research background,research significance,research status at home and abroad,points out the existing problems and problems of existing intelligent lighting methods and technologies,and determines the research content and technical route of the paper.(2)Research on personnel spatial distribution based on video data deep learning.Improved YOLO target detection algorithm;Using indoor monitoring video data,researched the method of detecting video personnel based on deep learning,and used the function of approximation based on CMAC neural network to map the position of the person’s image in the video to spatial coordinates to achieve indoor multi-person Fast and accurate positioning of the distribution.(3)Research on intelligent lighting control strategy based on indoor personnel positioning.According to the intelligent control idea of the person-in-the-loop,the structure of the lighting control system for the spatial distribution of video recognition personnel is studied,and the lighting area lighting control strategy based on the illumination requirements of the working surface of the indoor personnel is given.By querying the correlation between the distribution of personnel and the division of the lamp area,the control amount of the lamp switch can be obtained.The control algorithm is simple,and no illumination measurement device is needed,which can ensure that the lighting control system has low operating costs and convenient maintenance.(4)Development and experimental verification of intelligent lighting systems.Designed a USB-Modbus wireless communication module;developed a wireless light control module using STM32 chip and modbus protocol to achieve wireless communication with the host computer;written software for video-based personnel spatial distribution and positioning,lighting control,and wireless communication.Taking room 1-508 of WenZong building of the school as the experimental and application verification environment,the indoor circuit wiring was improved,and the intelligent lighting system of LED lamps was built.The operation results show that the system is reliable and stable.This system has great application value in China’s office buildings,teaching buildings and other public buildings.