养老机构跌倒检测离床预警本地AI监护方案

场景方案SCENARIO SOLUTION

养老机构与照护场景的本地 AI 智能监护方案Local AI Intelligent Monitoring for Elderly Care Facilities

为养老机构、护理院、康养中心提供基于端侧 AI 的跌倒检测、离床预警、异常行为识别与事件闭环处置系统，支持本地部署、断网可用、隐私优先。 Edge AI-based fall detection, bed-leaving alerts, anomaly recognition, and event-loop response for care facilities. Local deployment, offline capable, privacy first.

适用客户Target Customers

养老机构Senior Care Facilities

中大型养老院、养老社区，需要对多床位/多楼层进行集中安全监护。Medium to large nursing homes and senior communities requiring centralized safety monitoring.

护理院 / 康养中心Nursing & Wellness Centers

对护理对象有实时监护需求，需要快速事件响应和处置闭环。Real-time monitoring for residents with rapid event response and closed-loop handling.

居家照护服务商Home Care Providers

为长者居家照护提供远程协同+本地智能的混合监护方案。Hybrid remote + local intelligent monitoring for home-based elderly care.

典型痛点Key Pain Points

跌倒事件未及时发现，错过黄金救助时间Falls not detected in time, missing the golden rescue window
夜间离床风险高，人工巡查覆盖不足High nighttime bed-leaving risk with insufficient manual patrol coverage
事件确认慢、响应链条长、处置无闭环Slow event confirmation, long response chains, no closed-loop handling
数据上云有顾虑，视频/音频隐私敏感Cloud data concerns, video/audio privacy sensitivity
多系统碎片化，接入成本高，维护困难Fragmented systems, high integration cost, difficult maintenance

方案目标Solution Objectives

实时安全监护Real-time Safety

50ms 级事件触发，跌倒/离床/异常行为实时检测与分级告警。50ms event triggering with real-time detection and graded alerts.

事件闭环处置Closed-Loop Response

从检测到告警到确认到处置，全流程可追溯、可验证。Full traceability from detection to alert to confirmation to response.

隐私优先部署Privacy-First Deployment

数据默认留在本地，断网可运行，视频不上云。Data stays local by default, runs offline, video never leaves the premises.

系统组成System Components

房间侧感知节点Room-Side Sensing Nodes

摄像头、毫米波雷达、人体红外、门磁、温湿度传感器等多模态感知终端。Cameras, mmWave radar, PIR sensors, door contacts, temperature/humidity sensors.

边缘 AI 主机Edge AI Host

运行 AIOS 平台的本地计算节点，承载推理、决策、记忆与设备联动。Local compute node running AIOS for inference, decision-making, memory, and device control.

护理端管理界面Care Staff Dashboard

护理站大屏 + 移动端 APP，实时查看告警、处置记录与住户状态。Nursing station display + mobile app for real-time alerts, response records, and resident status.

告警与处置工作流Alert & Response Workflow

告警分级、自动派单、处置确认、事件归档，形成完整闭环。Graded alerts, auto-dispatch, response confirmation, and event archiving.

核心功能Core Features

跌倒检测 -- 基于视觉+毫米波雷达的多模态融合跌倒识别，降低误报漏报Fall detection -- multimodal fusion with vision + mmWave radar, reducing false positives/negatives
离床预警 -- 夜间离床自动检测，超时未归床触发分级告警Bed-leaving alert -- automatic nighttime detection with graded alerts for prolonged absence
异常行为识别 -- 活动量骤降、长时间静止、异常出入等行为异常检测Anomaly detection -- sudden activity drops, prolonged stillness, unusual entry/exit patterns
多模态环境感知 -- 温湿度、光照、气体、噪声等环境数据实时监测Environmental sensing -- real-time monitoring of temperature, humidity, light, gas, and noise
事件闭环处置 -- 从检测、告警、确认到处置归档的全流程管理Closed-loop event handling -- full workflow from detection to alert to confirmation to archiving

交付与实施Delivery & Implementation

部署模式Deployment Mode

本地部署为主，可选边云协同。硬件+软件+模型+界面一体化交付。Primarily local deployment with optional edge-cloud synergy. Hardware + software + models + UI delivered together.

实施周期Timeline

试点（10-30床位）：2-4周；单楼层部署：4-6周；全院部署：6-8周。Pilot (10-30 beds): 2-4 weeks; Single floor: 4-6 weeks; Full facility: 6-8 weeks.

试点方式Pilot Program

低门槛试点合作，可验证指标、明确输出报告，试点结束可扩展部署。Low-barrier pilot with measurable KPIs, clear output reports, and scalable post-pilot deployment.

可选模块Optional Modules

语音交互、远程家属通知、数据看板大屏、第三方系统对接。Voice interaction, remote family notifications, data dashboard, third-party system integration.