China's first open-source Hongmeng nursing home opens in Shenzhen
Shenzhen's Longgang District has opened its first public nursing home, built upon the open-source Hongmeng operating system. The facility, costing 235 million yuan, integrates advanced monitoring and smart systems for elderly care.
Shenzhen's Longgang District inaugurated its first public nursing home on July 3, which notably operates on the open-source Hongmeng operating system. The facility, "Chunhua Mao · Longgang District Elderly Care Nursing Home," represents a significant investment of 235 million yuan (approximately $33 million USD) and aims to modernize elderly care services.
The core of the project is a digital infrastructure built on the KaihongOS, an open-source Hongmeng commercial distribution, and its Meta device management platform. This system unifies ten subsystems and five major application scenarios, integrating over 3,000 smart hardware devices. The goal is to create a fully intelligent and connected environment for both care services and operational management.
A key feature is the implementation of "non-sensing" monitoring technology within resident rooms. Using millimetre-wave radar, the system can detect a resident's status, such as being in bed or on the toilet, without requiring wearable devices. It automatically alerts staff to potential risks like falls, bed departures during certain times, or abnormal breathing patterns. Emergency call buttons are also available.
In common areas, existing surveillance cameras can be upgraded for shared computing power and enhanced functionality. AI can identify risks such as falls, people trapped in elevators, or fire hazards, shifting the approach from reactive to proactive prevention. For residents with cognitive impairments, real-time tracking can anticipate wandering risks, with video feeds assisting caregivers.
The platform also standardizes data from various health monitoring devices, allowing for automatic synchronization of information from blood pressure, blood glucose, and blood oxygen monitors. Non-invasive sensors continuously collect vital signs and sleep data, with AI generating daily sleep assessment reports and longer-term health trend analyses. The system also facilitates remote consultations for residents with mobility issues.