Research On Lighting Control Algorithm And System Based On Multi-sensor Information

With the development of Internet of Things and the Internet,people’s requirements for the intelligent lighting products put forward higher.Lighting products should not only meet people’s requirements for bright light,but also adapt to psychological and physiological changes and environmental changes,giving people a comfortable and healthy feeling.It is of great research value that lighting system which is able to perceive the change of the surrounding environment and the change of the vital signs.Based on this,this paper presents a lighting control method and system based on multi-sensor information fusion algorithm.The main work is as follows:1.A lighting system is designed whose lighting effect can be adjusted by the changes of the physiological and environmental information based on the study of the status of lighting control and the impact of light on people.This system uses MSP430F169 as the main controller,including three parts: multi-sensor information collection,wireless data transmission and lighting control.In the first part,a variety of physiological and environmental information is collected and in the last part,dimming color is achieved by controlling mixing ratio of red,green and blue according to the characteristics of PWM dimming and color knowledge.2.Multi-sensor information collection includes: temperature,humidity,light intensity and other environmental information collection and heart rate,blood oxygen saturation,blood pressure and other vital signs parameters collection.The collection of heart rate and oxygen saturation uses infrared spectroscopy.The method is stable,reliable,continuous and real-time.The collection of blood pressure signal uses cuff pressure indirect measurement method.The method is simple and non-invasive.Experiments show that the relative error of measurement parameters of heart rate,blood oxygen saturation,blood pressure is less than 3.5% compared with medical equipment.The measurement results can reflect the changes of parameters accurately.3.This paper proposes a lighting control algorithm based on multi-sensor information fusion.The algorithm integrates the information collected by multiple sensors by adjusting the weighted value adaptively according to the variance size to improve the accuracy of data.According to people’s perception to the light color in different physiological and environmental conditions,lighting control model isestablished by using the BP neural network to fuse the sensor information.The results show that the structure of the BP neural network and the accuracy of the input samples have an influence on the decision results,and the right decision rate of the lighting control model is 96%.In this study,the illumination control system based on multi-sensor information can realize the accurate and real-time acquisition of various sensing information,and realize the fusion of data by using adaptive weighting algorithm.The BP neural network is used to establish the lighting control model.This system fulfills its expected function that the light color is changing with physiological and environmental information.