设计说明书
总字数：36000+
基于STM32的智能语音台灯控制系统设计
摘要
在养老社区智能化看护场景下，老人心率、血氧、体态状态及居住环境温湿度、烟雾安全状况、定时服药管理是保障老年群体身心健康与居住安全的核心管控要素。传统养老社区人工巡查、定点看护、手动提醒的管护模式存在监测覆盖不全、数据更新滞后、人力成本高昂、安全隐患发现不及时、护理提醒易遗漏等诸多弊端，依靠人工管护模式难以实现老人健康状态与居住环境安全的全天候动态监管。本文提出一种基于STM32单片机与物联网技术的养老社区监控系统设计方案。系统集成人体健康监测、摔倒姿态识别、环境参数检测、智能定时服药提醒、本地人机交互、WiFi无线数据传输、自定义安全阈值、移动端远程管控与多级异常预警等核心功能。通过心率血氧检测模块、姿态感应模块实时采集老人心率、血氧数据与摔倒状态信息，依托温湿度检测模块、烟雾传感模块实时采集养老居住环境的温湿度参数与烟雾浓度数据，借助时钟模块精准获取系统时间并支持三组可使能自定义服药定时提醒功能，将所有监测参数与用户预设安全阈值自动完成比对分析。当老人心率、血氧数值偏离设定安全区间、检测到老人摔倒且10秒内未自主起身、环境烟雾浓度超标或预设服药时间到达时，设备即刻触发本地声光报警，同时推送手机弹窗与震动预警消息，快速提醒看护人员处理异常状况。系统搭载实体按键支持心率、血氧、烟雾浓度等各类监测参数阈值的本地自定义调节，搭配OLED显示屏实时本地展示全部监测数据与设备运行状态；同时通过WiFi通信模块将实时监测数据远程同步上传至手机移动端，移动端可实时查看各项监测数据，且支持远程自定义修改各参数安全阈值。本系统有效解决了传统养老看护模式管护效率低、安全预警滞后、监测维度单一、日常护理智能化不足的行业痛点，实现老人健康参数、居住环境参数的全天候自动采集、安全风险实时预警、本地与远程双向智能化管控，显著提升养老社区安全看护与精细化护理的智能化水平，具备良好的养老行业应用价值与推广前景。
关键词：物联网；养老社区监控；STM32单片机；多参数监测；智能预警；远程管控
In the intelligent care scenario of elderly care communities, the elderly’s heart rate, blood oxygen, posture status, indoor temperature and humidity, smoke safety conditions and regular medication management are the core management elements to ensure the physical and mental health and living safety of the elderly group. The traditional elderly care management modes of manual inspection, fixed-point nursing and manual reminder have many drawbacks such as incomplete monitoring coverage, lagging data update, high labor costs, untimely discovery of potential safety hazards and easy omission of nursing reminders. It is difficult to realize all-weather dynamic supervision of the elderly’s health status and living environment safety relying on manual management modes. This paper proposes a design scheme of an elderly care community monitoring system based on STM32 single-chip microcomputer and Internet of Things technology. The system integrates core functions including human body health monitoring, fall posture recognition, environmental parameter detection, intelligent regular medication reminder, local human-computer interaction, WiFi wireless data transmission, custom safety thresholds, mobile terminal remote management and multi-level abnormal early warning. The heart rate and blood oxygen detection module and posture sensing module are used to collect real-time data of the elderly’s heart rate, blood oxygen and fall state. The temperature and humidity detection module and smoke sensing module collect real-time temperature, humidity and smoke concentration data of the elderly living environment. The clock module accurately obtains system time and supports three groups of enableable customized regular medication reminder functions. All monitored parameters are automatically compared and analyzed with the safety thresholds preset by users. When the elderly’s heart rate and blood oxygen values deviate from the set safety range, the elderly fails to stand up independently within 10 seconds after a fall is detected, the indoor smoke concentration exceeds the standard, or the preset medication time arrives, the device will immediately trigger local sound and light alarms, and push mobile phone pop-up windows and vibration early warning messages to remind nursing staff to handle abnormal conditions in a timely manner. Equipped with physical keys, the system supports local custom adjustment of threshold values for various monitoring parameters such as heart rate, blood oxygen and smoke concentration, and matches an OLED display screen to locally display all monitoring data and equipment operating status in real time. Meanwhile, real-time monitoring data are remotely and synchronously uploaded to the mobile terminal through the WiFi communication module. The mobile terminal can view all monitoring data in real time and support remote custom modification of safety thresholds for each parameter. This system effectively solves the industry pain points of the traditional elderly care mode, such as low management efficiency, delayed safety early warning, single monitoring dimension and insufficient intelligent daily nursing. It realizes all-weather automatic collection of the elderly’s health parameters and living environment parameters, real-time early warning of safety risks, and two-way intelligent management and control locally and remotely, which significantly improves the intelligent level of safety care and refined nursing in elderly care communities, and has excellent application value and promotion prospects in the elderly care industry.
Keywords: Internet of Things; Elderly Community Monitoring; STM32 Single-chip Microcomputer; Multi-parameter Monitoring; Intelligent Early Warning; Remote Management
目 录
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