Design And Implementation Of Environment Monitoring Software System Based On Wechat Platform

In order to meet the strong demand for indoor environment monitoring intelligently,this research mainly relies on the Internet of Things function provided by Wechat Public Platform,which enables people to remotely control intelligent hardware and household equipment through Wechat Public Number,and obtain real-time information of indoor environment factors.The design of environment monitoring software system based on Wechat platform mainly includes Tencent cloud server,MySQL database,Node.js Express background construction,Bootstrap+jQuery front-end page development,Wechat public platform development,China Weather Network API access.Among them,Tencent cloud server + MySQL database design mainly provides a place for data acquisition,transmission and storage;where the acquisition of environmental parameters comes from the existing smart home hardware system built by combining sensor technology,wireless communication technology and embedded technology;background server construction provides IP and functional interface for hardware system to obtain environmental parameters.At the same time,it provides background services for the development of Wechat public platform;the development of front-end pages ensures the visual display of the software system;the API access of China Weather Network mainly expands the service function module of clothing index query for the system,and improves the practical value of the system.The system mainly realizes data interaction among smart home hardware system,cloud server and Wechat public platform.On the server side,the environment parameters collected by hardware can be parsed into JSON data format and uploaded to Tencent cloud server through HTTP protocol,and then stored in MySQL database,waiting for the users of the Wechat terminal to send information through the message interface to call;on the mobile terminal,through the development of the Wechat public platform,users only need to scan the two-dimensional code provided by the Wechat public number,and then Concern can be used for real-time remote monitoring,historical data query,control,user information management and other operations.The implementation of the clothing guide query module in the system is based on the research of classification model recommendation algorithm.The data of China Weather Network is used as the input training model of the algorithm to calculate the clothing index and realize the prediction of clothing.Finally,the system realizes a kind of home ecological chain of "smart hardware + cloud server + wechat terminal +life service".The system design first carries on the system demand analysis and the related technical analysis to determine the feasibility,then carries on the design of three subsystems and seven functional modules according to the function demand analysis,then develops and realizes,finally carries on the system test through the Wechat public test account.Finally,according to the test results,the system meets the design requirements.