| With the development of economy and science and technology,people have also pursued a higher quality of life.The cumbersome and complex operation of traditional household equipment has brought great inconvenience to people’s lives.The application of smart home can greatly change this situation.But at present,smart homes have not fully entered public life.The main reasons are high cost,poor practicality,complex operation and other problems.Starting from the actual needs,this paper designs a smart home system based on cloud platform and WiFi based on the current WiFi wireless communication technology,cloud platform technology and multi-sensor data fusion technology.The main research contents are as follows:This paper compares several common wireless communication technologies and uses WiFi as the wireless communication method of the system to realize data transmission.Through analysis,the powerful One NET cloud platform was selected as the remote monitoring tool of the system.Apply multi-sensor data fusion technology to the system and complete the overall structure design of the smart home system.In view of the functional requirements of smart home,STM32 was selected as the main control module,and the WiFi module,sensor module,terminal control module,power module and other modules required by the system were selected and the corresponding circuit design was carried out,and C language was used as a programming language for software design and program debugging.As a remote monitoring tool of the system,One NET cloud platform completes the product creation and access,data interaction,trigger design and cloud platform monitoring interface design of One NET cloud platform.At the same time,a mobile APP was developed based on the One NET cloud platform to realize the control of the smart home system by the mobile APP.In order to improve the reliability of sensor data collection and improve the accurate identification of fire in smart home systems.This article proposes a two-level data fusion model,which first performs adaptive weighted fusion on the data collected by sensors,and then applies the D-S evidence theory fusion after completing the data level fusion.It can accurately reflect the probability of fire occurrence based on the characteristics of some fires.Finally,WiFi network debugging,cloud platform debugging and mobile APP debugging of the smart home system are carried out,and the stability and reliability of the smart home system are verified,and the test results show that the smart home system can realize the functions of home environment acquisition and remote control. |
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