Intelligent elderly care monitoring and early warning system based on digital twinning technology

Abstract

The invention provides an intelligent elderly care monitoring and early warning system based on a digital twinning technology. The invention relates to the field of intelligent elderly care. The system comprises a physical space unit, a data acquisition and recognition unit, a data analysis unit, a virtual space unit and a risk early warning unit. The physical space unit comprises a plurality of distributed physical scenes. The data acquisition and recognition unit comprises a data monitoring module, a face recognition module and a human body behavior recognition module. The virtual space unitdisplays the physical model state of the elderly in a scene in real time at the cloud through a three-dimensional visualization engine. The system aims at communities and home-based care physical environment places, visual display is carried out on actions and movement tracks of falling, sedentariness, squatting, buttress and the like of the elderly, alarm and early warning are carried out on theabnormal high-risk state of the elderly, virtual-real mapping and deep-level information physical fusion of the elderly care scene are realized, and thus the fine management level of communities andhouseholds is improved.

Description

technical field [0001] The invention relates to the field of smart elderly care, in particular to a community elderly care monitoring and early warning system based on digital twin technology. Background technique [0002] As of the end of 2018, the total population of mainland China was 1.39 billion, an increase of 5.3 million over the end of the previous year. Among them, the elderly population aged 60 and above totaled about 249 million. The proportion of the elderly population increased from 17.3% at the end of 2017 to 17.9%. This year will reach 480 million people, accounting for a quarter of the world's elderly population. In addition, empty-nest families have basically become or have become the main form of elderly families because their children leave home due to reasons such as study, work, and marriage. Experts predict that in the near future, the empty nest rate of elderly families in our country will reach about 90%, the elderly who are prone to cognitive impair...

AI Technical Summary

Problems solved by technology

However, after retrieving relevant patents and papers, it is found that in the complex and diverse fields of community management and intelligent elderly care, there are few successful implementation cases of digital twin systems. Track and respond to the state of the physical model of the elderly in real time, some cannot provide alarms and early warnings for the elderly's fall status, and some do not support platforms and environments such as LAN, remote and handheld devices

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