场景一：宠物识别与看护 Scenario 1: Pet Recognition & Care

识别状态：Recognition Status: 狗狗在门前来回走动并吠叫 Dog pacing and barking at the door

• 开启室内摄像头分析行为Activate indoor camera to analyze behavior
• 播放主人声音的安抚语音Play owner's voice recording for comfort
• 推送提醒给用户Send notification to user
• 展示分析结果并询问是否需要进一步处理（例如：是否需要喂食喂水等）Display analysis results and ask for further action (e.g., need feeding/watering?)

执行全部建议Execute All Suggestions 忽略Ignore

已执行：摄像头已经开启，语音安抚中，结果已推送，展示进一步处理结果 Executed: Camera activated, comforting voice playing, notification sent, displaying further action options

场景二：起床自动化 Scenario 2: Wake-up Automation

检测动作：Detected Actions: 用户翻身 → 坐起 → 起身 User turns over → sits up → gets up

检测声音：Detected Sounds: 闹钟响起 → 用户起床 Alarm rings → User gets up

• 判断室外亮度逐步打开窗帘Assess outdoor brightness and gradually open curtains
• 调取天气api，获取天气信息Fetch weather info via weather API
• 根据天气及传感器信息调整窗帘、灯光、空调等设备Adjust curtains, lights, AC based on weather and sensor data
• 根据行为习惯推测下一步需求（例如：是否需要热水器预热，是否需要打开加湿器）Predict next needs based on habits (e.g., preheat water heater, turn on humidifier?)
• 播放轻柔音乐Play gentle music

确认执行Confirm Execution 忽略Ignore

已执行：窗帘已打开，灯光已调高，春季干燥，热水器已预热，加湿器已打开，播放轻柔音乐 Executed: Curtains opened, lights brightened, dry season, water heater preheated, humidifier on, gentle music playing

场景三：睡眠体温监测与调节 Scenario 3: Sleep Temperature Monitoring & Adjustment

热成像状态：Thermal Imaging Status: 背部区域持续温度偏高 Back area consistently showing higher temperature

检测动作：Detected Actions: 踢掉被子/翻身 Kicked off blanket / Turned over

• 降低空调目标温度至合适温度Lower AC target temperature to suitable level
• 开启轻风模式Activate gentle breeze mode
• 记录睡眠热图数据Record sleep thermal map data
• 根据热图数据分析睡眠状态Analyze sleep state based on thermal map data

调整环境Adjust Environment 忽略Ignore

环境已调整，下一轮温控将在 30 分钟后进行，并根据热图数据综合分析睡眠状态 Environment adjusted, next temperature control in 30 mins, analyzing sleep state based on thermal data

场景四：语音查询交通状况 Scenario 4: Voice Query for Traffic Conditions

语音指令：Voice Command: "今天早上武林那边会堵吗？" "Will it be congested near Wulin this morning?"

意图解析：Intent Parsing: 查询 "武林"+"今天早高峰"+"拥堵状况"，出门可能 Query "Wulin" + "today morning peak" + "congestion status", likely for commute

调取地图api:Map API Call: "高德地图/百度地图" "AMap / Baidu Maps"

调取天气api:Weather API Call: "和风天气/中央气象台" "QWeather / CMA"

查询结果：Query Result: "武林广场车流密集，预计拥堵延迟约 12 分钟，今天有雨，湿度较大" "Heavy traffic near Wulin Square, estimated delay ~12 minutes. Rain today, high humidity."

本地语音播报:Local Voice Announcement: "武林广场方向建议提前出发，今天有雨，湿度较大，记得带伞" "Suggest leaving earlier for Wulin Square direction. It's raining today with high humidity, remember to take an umbrella."

语音播报Voice Announce 关闭提示Dismiss

播报完毕，实时追踪路况，并根据路况调整出行方案 Announcement finished. Tracking traffic in real-time and adjusting travel plans accordingly.