| The design of the building’s light environment is generally based on the design code and considering the specific use requirements.The dimmable lighting can be operated remotely by intelligent terminals such as control switches,mobile phones and tablet computers to adapt to different lighting needs under different situations and functions.Due to the complexity of human behavior and needs,it is difficult to adjust the light anytime,anywhere and at will.When some elderly people are engaged in cooking activities and other behaviors in the house,accidents may occur easily due to the lack of support for lighting equipment and effects due to the obstacles in the cognition and expression of their own lighting needs,or the difficulties in learning and using intelligent terminal equipment.Therefore,it is necessary to establish an adaptive building light environment by predicting human’s light environment needs through human motion.In this paper,in the northern city of residential kitchen space,for example,in the research of the present status of the northern city of residential indoor lighting environment,on the basis of analyzing the behavior pattern in the kitchen environment,through the establishment of the act of cooking operation experiment human motion characteristics and the relationship between the light environment,thus formulated based on the variation of light environment demand forecast and the control strategy and build active intelligent lighting control system.First of all,the city in the north area of residential indoor light environment as the object,through to the north in the family kitchen lighting light environment present situation investigation,to find out what people are on the current status of the light environment evaluation,kitchen space places to find action happens and the interaction relationship between the light environment,for follow-up experiments provide parameters reasonable illuminance value guidance.Secondly,taking kitchen cooking activities as an example,through field experiments and tests,the relationship between indoor light environment and movement posture is analyzed.Based on the statistics of the bending Angle value of the limbs and the illumination of the corresponding working face,the threshold value of the relevant posture Angle is obtained when the light environment needs to be changed,and the control strategy is formulated.Third,the use of machine vision and motion recognition technology,predict human visual needs and judge the light environment to adjust the target,so as to establish an active intelligent lighting control system for kitchen cooking behavior.The research results of this paper will provide a new intelligent technology for the design of building light environment,which has the characteristics of no user intervention and active dimming,which is helpful to reduce safety risks and improve the quality of life.The numerical relationship between human motion and light environmental parameters obtained in the field experiment can provide reference for the related research of building light environmental behavior. |
