Research And Design Of Intelligent Home Environment Monitoring System Based On Data Fusion

Today is the age of information,people’s living standards are improving,and science and technology has been greatly developed,so the theme of smart home will gradually enter people’s life,into people’s eyes,is booming.It affects our life from different aspects,gradually improve our living standard,improve the quality of our life,for businesses is a vacancy in the market cake,so the study of smart home has important significance.In this paper,the problem of smart home environment monitoring is studied.The intelligent gateway built by STM32F103RCT6 chip and ESP8266 WIFI wireless module is built,the monitoring network built by ZigBee(CC2530 chip)is built,and the channel between it and the One Net cloud platform is established.Realize data acquisition and monitoring of household environment,by a buzzer alarm prompt danger,through the relay and stepping motor to perform equipment running state control,choose the combination of ZigBee + WiFi wireless communication mode,through the way of cloud App to equipment,to achieve a low power remote wireless household environment monitoring system.The remote home environment parameters are fused by multi-sensor data fusion technology.In this system,the fusion mode of two-level parallel structure is selected.First,the local fusion of the first-level similar sensors is carried out by TSS algorithm,and the data is preprocessed.Then,the global fusion of the second-level different sensors is carried out by the improved D-S evidence theory algorithm.After many functional tests,it is found that the functional design of the system meets the requirements,which can better realize real-time collection of home environment,so as to achieve the purpose of remote monitoring.Through the experimental example,it is finally verified that the multi-sensor data fusion algorithm selected in this paper has been well applied in the intelligent home environment monitoring system.