Design And Implementation Of Formaldehyde Detection System For Shared Community Service

Along with the development of China's economy,people gradually pay attention to home environmental protection,on account of which the demand of indoor formaldehyde detection is increasing.However,formaldehyde detection at home is limited for the following reasons: on the one hand,it is not worthwhile to purchase the entire formaldehyde detection equipment for its low rate of usage;on the other hand,the testing process of professional inspection company is complicated with a long detection time and high cost.As the shared economy model in mobile Internet technologies matures,it offers the possibility of low-cost detection of formaldehyde pollution.The design of the formaldehyde detection system for shared community service is mainly divided into three parts: the formaldehyde detection terminal,Android client App and background business management system of B/S architecture based on MVC mode.The formaldehyde detection terminal adopts STM32F103ZET6 as its main control chip that controls the collection,display and transmission of formaldehyde data.At the same time,the external GPRS/GPS module can prevent loss of positioning module and be used for remote monitoring.Android client App sends commands through Wi-Fi wireless transmission to control the beginning and stop detection of hardware terminals,and receives data transmitted by hardware terminals.This paper analyzes the application of neural network algorithm in suppressing cross-interference in gas sensors,and will take the suppression of ethanol gas interference as an example to verify the feasibility of using particle swarm optimization to optimize BP neural network combined with single-chip microcomputer to improve formaldehyde detection concentration.Based on the Android operating system platform,a mobile phone client App with shared functions is developed.Designed functions including user registration,login and personal information management,based on which users can check the current free-usable formaldehyde detector with the App.While testing indoor formaldehyde through this App,equipped with detection timing,dynamic display of formaldehyde data,excessive alarm,detection fees payment with mobile and other functions,the mobile phone needs to be connected with the detection terminal by Wi-Fi.What's more,the business data generated by the client App is stored in the MySQL database in the background thus its historical data can be viewed by users.The background business management system designed in this paper and the Android mobile client App will realize the data exchange communication between the front and back ends through the HTTP communication protocol,managing the back-end business in an integrated way.Under the environment of Windows,the background service management system of B/S architecture based on MVC mode has realized by combining database MySQL,JSP,Servlet,JavaBean,JDBC,Tomcat and so on.The administrator can check the business data generated by the Android client App in the visual system.Finally,functional verification and joint testing of the various modules of the system can enable users to use the shared formaldehyde detector.What's more,users can detect the concentration of formaldehyde in the simulated home environment and pay online through the Android client App as well.The back-end business management system implementsdata and business support for the client's App,thereby achieving the effect of integrated management.To sum up,the system can provide a low-cost formaldehyde detection method for users in the community.