Abstract: With the rapid development of smart home industry in recent years, networking of household appliances has become an inevitable trend, and its service quality as well as user operation experience directly effect the users' acceptance of smart home. The traditional quality improvement methods lack the active collection and analysis mechanism for users' big data, it is difficult to accurately locate the quality problems of appliances, and there is a lack of monitoring and early warning of the service quality of appliances. Therefore, it is impossible to realize the quantitative evaluation and closed-loop improvement of the quality of IoT appliances. By studying the quality improvement model of IoT appliances based on users' big data analysis, integrating the traditional quality analysis methods of the household appliance industry and the big data analysis methods of the Internet, with the help of the IoT quality management platform, quality personnel can realize the accurate positioning, quantitative evaluation, monitoring and early warning, closed-loop improvement of the quality data of appliances, and finally realize the overall improvement of the quality of IoT appliances.

Key words: Internet of Things (IoT), Big Data, Event tracking, Quality improvement