Design of Intelligent Elderly Care System under the Background of Internet of Things and Big data

Elderly care services can improve the level of old-age care, happiness, and the quality of life in old age. However, in the process of elderly care services, there are problems of complex life data processing and inconsistent data on cultural differences, which in turn affects the quality of elderly care and reduces the level of services of elderly care institutions. In order to improve the quality of elderly care services, this paper designs an intelligent elderly care system, which analyzes the data of elderly care institutions with Internet of Things and big data. Then, health monitoring and early warning, life assistance and convenience functions and social interaction and loneliness alleviation are comprehensively evaluated, and the evaluation results are systematically analyzed, and finally personalized pension plans are made. The results show that the intelligent elderly care system can accurately analyze the elderly care service and improve the social pension level, and its accuracy is greater than 95% for the artificial elderly care service. Therefore, the intelligent pension system can meet the requirements of the elderly and provide auxiliary support for the social pension.