Research On Intelligent Lighting Control System Based On New Intelligent Building Platform

Nowadays,the construction field is developing rapidly in the direction of green buildings and intelligent buildings,and higher requirements are placed on the lighting control system.Considering the poor scalability,excessive amount of management information and the difficulty in the realizing cross-system functions of the traditional bus lighting control system,this dissertation is aimed at the new building intelligent platform,carries out research on the intelligent lighting control system according to the two important factors of the building environment and personnel.A flat and centerless lighting system control solution is used to design an intelligent lighting control system based on indoor illuminance model and personnel distribution model which fundamentally solve the problems existing in the hierarchical structure of the traditional bus form to increase or decrease the number of lamps and change the control strategy at will,truly achieve the purpose of intelligent regulation and reduction of energy consumption.The main research of this dissertation is reflected in the following three aspects:Firstly,mastering the distribution law of natural illuminance,calculating the natural and lamp illuminance of the indoor working surface is a prerequisite for the design of intelligent lighting and green energy-saving in buildings.The indoor illuminance model is designed to characterize the natural light and lamp illuminance in this dissertation,which includes a natural illuminance model and a lamp illuminance model.When constructing the natural illuminance model,according to the standard sky type parameters,the sky brightness at a certain time is determined by observing the date and time,latitude and longitude of the ground,then calculating the influence of sky brightness on the brightness of office lighting,and finally obtain the illuminance formed on the indoor working surface after natural light attenuation by using the boundary integral illuminance.In the modeling of the lamp illuminance field,the illuminance formed on the working surface of the specific type of luminaire is calculated by the azimuth coefficient method.The indoor illuminance model can describe the indoor lighting environment more accurately,which lays a foundation for the accurate control of the subsequent intelligent lighting control system through the analysis of experimental results.Secondly,considering the relationship between the number of occupant in the building and the position of the personnel and the use of the equipment,this dissertation studies the distribution of personnel in the office building based on the Markov process.The behavior of personnel in office buildings is divided into three categories: “go to work,walk around,8off to work”,through analyzing the connectivity of the space inside the building,the Markov process is used to simulate the position sequence of the personnel movement and the appropriate Markov probability transfer matrix is set according to the personnel behavior characteristic parameters,so as to predict the position of the personnel at the next moment.The model can better describe the process of personnel movement in office buildings,and can accurately predict the position of personnel at the next moment through the analysis of experimental results.Finally,searching and optimizing the optimal brightness combination of multiple light sources in the scene by using the particle swarm optimization algorithm based on indoor illumination and personnel distribution.In addition,based on the new building intelligent platform,the data interaction mode and mechanism between the core control unit of the platform—CPN,CPN and equipment are studied,the intelligent lighting control system is finally designed.Through experimental comparison and analysis,the intelligent lighting control system based on the new building intelligent platform can reduce the lighting energy consumption by about 11%while meeting the requirements of the light environment comfort compared with the light-based centralized lighting control system.