Design Of Smart Home Indoor Environment Monitoring System

With the rapid development of China’s social economy and science and technology,people’s material living standards are also constantly improving,and the demand for intelligent indoor environment is becoming more and more urgent.Indoor is no longer a simple living and working space,it should bring people a safe,comfortable,intelligent and convenient working and living environment.Nowadays,smart homes are developing rapidly in the direction of intelligence,and efficient and accurate human-computer interaction can provide people with a comfortable,safe,convenient and efficient living environment,thereby improving people’s quality of life.Therefore,the use of embedded,wireless communication and artificial intelligence and other related technologies to achieve a smart home system of human-computer interaction has important research significance and practical application value.This paper designs and implements a smart home monitoring system based on the ARIMA model,which aims to carry out unified intelligent management of various terminal devices in the home or working environment,and use intelligent algorithms to predict the changes in thermal comfort in the future in the indoor future,and make adjustments in advance according to the size of the predicted value to maintain the indoor environment in the most comfortable state.The main work of this article is as follows:(1)By analyzing the current situation of smart homes at home and abroad,design a thermal comfort monitoring system solution.The scheme first determines the detection indicators of the indoor environment,puts forward the functional requirements of the system,and then optimizes the available communication methods of the system.Finally,according to the functional requirements of the system,the overall architecture of the indoor environment detection system is determined,and the data flow design and logical stratification of the overall system design are analyzed.(2)Build a PMV prediction model for indoor thermal comfort in smart homes.For the prediction of indoor thermal comfort,the thermal comfort index is first introduced.The collected data is pre-processed and analyzed,followed by an overview of the thermal comfort prediction method and model construction of the monitoring system,and the PMV prediction model based on ARIMA is constructed.The results show that the prediction accuracy of the model is high.(3)Build a smart home indoor environment monitoring system terminal.The system terminal includes hardware and software design,hardware design is mainly on the device side,divided into communication module and execution module.Software design mainly includesdevice-side programming,APP software design and platform software design.Smart home indoor monitoring system,the communication module is connected to a whole through serial communication technology and execution module,and then the hardware device is connected with the cloud platform and mobile terminal as a whole through WIFI communication technology.Enables information interaction between users,behaviors,and scenarios.(4)Conduct joint investigation and overall testing of the built smart home indoor environment monitoring system.Through the analysis of the test results,the environmental monitoring system designed in this paper meets the functional requirements,the monitoring center provides users with a good operation interface,and can accurately receive data,store management data,forward control instructions,and the mobile terminal APP can achieve remote query control effect,in line with system design requirements.The indoor environmental monitoring system has been used in engineering projects.