Design And Implementation Of Indoor Environment Monitoring Alarm System Based On Arduino

In recent years,as the haze is getting worse,environmental problems have gradually attracted people's attention.People spend nearly 90% of their time indoors,the indoor environment has naturally become the focus of attention.People are logging for a monitoring system that can track the indoor environment conditions and alarm the users when in critical condition.This paper designs a set of indoor environment monitoring and alarm system based on Internet and hardware to monitor some of the indoor environmental data that people are generally concerned about.The system mainly consists of data acquisition hardware,server and mobile client.In this paper,Arduino UNO R3 has taken as the main control board which equips sensor modules to collect indoor temperature,humidity,PM2.5 value and smoke concentration data.Then the Netty framework which develops maturely in traditional Internet era is used to build the server client.The server client receives the data from the sensors in the hardware side and the thermal comfort evaluation information from the client.In order to enable users to view the indoor environment and receive alarm information from the server client at any time,in this paper,an App is designed on Android platform,which can be bound with the device id in hardware side.So that App can present the data from hardware side to the user in a concise way.To ensure the security of the data,the server and the mobile client use the HTTPS communication mode to encrypt the network transmission data.At the same time,in order to ensure that the alarm information can be pushed to the client in real time,we use the aurora push to establish long connections in the server and client and optimize the mobile client to reduce client process recovery probability in the background,so that users can receive alarm information.In order to control the indoor environmental control equipment automatically int the future,we use Fanger thermal comfort equation and SVM(support vector machine)algorithm to evaluate the indoor thermal comfort.To meet the functional requirements,the system is designed with comprehensive analysis of different schemes while the efficiency and friendliness are also considered.