Smart Home Environment Quality Analysis Model Based on Hadoop Framework Research

Abstract: With the continuous progress of science and technology, people's living standards continue to improve, people's requirements for air quality in the home environment is also increasing, at present formaldehyde, PM2.5, CO and other substances are the main components of indoor air pollution. The appearance of these substances in home life not only pollutes the air environment but also poses a serious threat to human health. This paper proposes an intelligent home environment quality analysis model based on Hadoop framework to display and improve the environment quality in real time. The model is based on the use of big data technology to capture outdoor air detection index data through the network, data comparison and data analysis to achieve outdoor environment, indoor environment, data query, air index prediction and other functions. Through the application of intelligent computing and technology to timely find and solve the problems in the home environment, effectively support environmental monitoring, timely grasp the source of environmental pollution, so as to more scientifically and effectively control environmental pollution, improve the quality of the home environment, and ultimately ensure a healthy life for individuals.