Remote intelligent health analysis system and method based on Internet of Things

Abstract

The invention particularly relates to a remote intelligent health analysis system and method based on the Internet of Things. The remote intelligent health analysis system based on the Internet of Things comprises a wearable sensing device, an environment data monitoring and weather forecast information acquisition device and a big data artificial intelligence operation platform, wherein the wearable sensing device and the environment data monitoring and weather forecast information acquisition device are connected to the big data artificial intelligence operation platform through an Internetof Things wireless communication module. The big data artificial intelligence operation platform is used for establishing an analysis model and predicting the morbidity probability according to weather changes. According to the remote intelligent health analysis system and method based on the Internet of Things, the morbidity probability of a user can be analyzed and predicted in real time, the characteristics of real-time performance, normalization and predictability are achieved, reference is provided for health care, the difficulty of health care of chronic patients and old people is lessened, guidance data can also be provided for work and life of the chronic patients and the old people, and health risks are reasonably avoided.

Description

Technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a remote intelligent health analysis system and method based on the Internet of Things. Background technique [0002] The elderly population in my country is not only large in number, but also growing at a relatively fast rate. my country entered an aging society as early as 1999 and is one of the developing countries that entered an aging society earlier. At present, the population of elderly people over 60 in my country is 1 / 2 of the total number of elderly people in Asia and 1 / 5 of the total number of elderly people in the world. It is estimated that by 2027 the elderly population will reach 300 million; by the middle of the 21st century, the elderly population in my country will reach about 400 million, accounting for a quarter of the total population of my country. [0003] Traditional health management for the elderly relies on primary health service stations. It ...

AI Technical Summary

Problems solved by technology

[0003] The traditional health management of the elderly relies on grassroots health service stations. It is difficult to collect and analyze the health data of the elderly in real time and for a long time. It is difficult for the elderly to travel, which objectively aggravates the problem of health management.

[0004] The traditional health management of the elderly relies on grassroots health service stations. It is difficult to collect and a

Images