第四版

.vscode/settings.json

@@ -3,7 +3,50 @@
         "cmath": "cpp",
         "array": "cpp",
         "string": "cpp",
-        "string_view": "cpp"
+        "string_view": "cpp",
+        "new": "cpp",
+        "atomic": "cpp",
+        "cctype": "cpp",
+        "clocale": "cpp",
+        "cstdarg": "cpp",
+        "cstddef": "cpp",
+        "cstdint": "cpp",
+        "cstdio": "cpp",
+        "cstdlib": "cpp",
+        "cstring": "cpp",
+        "ctime": "cpp",
+        "cwchar": "cpp",
+        "cwctype": "cpp",
+        "deque": "cpp",
+        "unordered_map": "cpp",
+        "unordered_set": "cpp",
+        "vector": "cpp",
+        "exception": "cpp",
+        "algorithm": "cpp",
+        "functional": "cpp",
+        "iterator": "cpp",
+        "map": "cpp",
+        "memory": "cpp",
+        "memory_resource": "cpp",
+        "numeric": "cpp",
+        "optional": "cpp",
+        "random": "cpp",
+        "system_error": "cpp",
+        "tuple": "cpp",
+        "type_traits": "cpp",
+        "utility": "cpp",
+        "fstream": "cpp",
+        "initializer_list": "cpp",
+        "iomanip": "cpp",
+        "iosfwd": "cpp",
+        "istream": "cpp",
+        "limits": "cpp",
+        "ostream": "cpp",
+        "sstream": "cpp",
+        "stdexcept": "cpp",
+        "streambuf": "cpp",
+        "cinttypes": "cpp",
+        "typeinfo": "cpp"
     },
     "C_Cpp.errorSquiggles": "disabled"
 }

src/Radar.h

@@ -0,0 +1,36 @@
+#ifndef RADAR_H
+#define RADAR_H
+// 在main.cpp顶部添加R60ABD1协议相关定义
+#define FRAME_HEADER1 0x53  // 帧头字节1
+#define FRAME_HEADER2 0x59  // 帧头字节2
+#define FRAME_TAIL1   0x54  // 帧尾字节1
+#define FRAME_TAIL2   0x43  // 帧尾字节2
+
+// 控制字定义
+#define CTRL_PRESENCE    0x80  // 人体存在检测
+#define CTRL_BREATH      0x81  // 呼吸检测
+#define CTRL_SLEEP       0x84  // 睡眠监测
+#define CTRL_HEARTRATE   0x85  // 心率监测
+
+// 命令字定义
+#define CMD_REPORT       0x80  // 主动上报
+#define CMD_QUERY        0x81  // 查询命令
+#define CMD_SET          0x82  // 设置命令
+
+// 定义R60ABD1数据结构
+typedef struct {
+    uint8_t present;      // 有人/无人状态 (DP1)
+    uint16_t distance;    // 人体距离 (DP3) 单位cm
+    uint8_t heartRate;    // 心率 (DP6) 单位BPM
+    uint8_t breathRate;   // 呼吸率 (DP8) 单位次/分钟
+    uint8_t heartWave;    // 心率波形 (DP7) 数值+128
+    uint8_t breathWave;   // 呼吸波形 (DP10) 数值+128
+    uint8_t sleepState;   // 睡眠状态 (DP12)
+    uint32_t sleepTime;   // 睡眠时长 (DP13) 单位秒
+    uint8_t sleepScore;   // 睡眠质量评分 (DP14)
+    uint8_t bedEntry;     // 入床/离床状态 (DP11)
+    uint8_t abnormal;     // 异常状态 (DP18)
+} R60ABD1Data;
+
+
+#endif

tcp-output(1).py

@@ -0,0 +1,330 @@
+import time
+import random
+import requests
+from datetime import datetime
+
+# 添加InfluxDB配置
+INFLUXDB_URL = 'http://8.134.11.76:8086'
+INFLUXDB_TOKEN = 'KuTa5ZsqoHIhi2IglOO06zExUYw1_mJ6K0mcA9X1y6O6CJDog3_Cgr8mUw1SwpuCCKRElqxa6wAhrrhsYPytkg=='
+INFLUXDB_ORG = 'gzlg'
+INFLUXDB_BUCKET = 'gzlg'
+
+# 配置设备ID：设置为0则自动注册，设置为1000~1999则固定使用该ID
+CONFIG_DEVICE_ID = 1003
+
+# 分配的设备ID（初始为None，注册后更新）
+assigned_device_id = None
+# 相位计数器
+phase_counter = 0
+
+def get_next_device_id():
+    """从InfluxDB查询已注册的设备ID，并返回下一个可用的ID"""
+    try:
+        # 查询InfluxDB中已存在的设备ID
+        query = '''
+        from(bucket: "{}")
+          |> range(start: -365d)
+          |> filter(fn: (r) => r["_measurement"] == "device_data")
+          |> keep(columns: ["deviceId"])
+          |> distinct(column: "deviceId")
+          |> sort()
+        '''.format(INFLUXDB_BUCKET)
+        
+        url = f"{INFLUXDB_URL}/api/v2/query?org={INFLUXDB_ORG}"
+        headers = {
+            "Authorization": f"Token {INFLUXDB_TOKEN}",
+            "Content-Type": "application/json"
+        }
+        data = {
+            "query": query
+        }
+        
+        response = requests.post(url, headers=headers, json=data)
+        print(f"🔍 InfluxDB查询响应状态: {response.status_code}")
+        if response.status_code == 200:
+            print(f"🔍 InfluxDB查询响应内容: {response.text}")
+            # 解析响应数据
+            device_ids = []
+            lines = response.text.strip().split('\n')
+            for line in lines:
+                if line and not line.startswith('#') and 'deviceId' not in line:
+                    try:
+                        # 解析CSV格式的响应数据
+                        # 格式类似于: ,_result,0,1001,1001
+                        parts = line.split(',')
+                        if len(parts) >= 5:
+                            # deviceId在第4个位置（索引3）
+                            device_id_str = parts[3].strip()
+                            if device_id_str:
+                                device_id = int(device_id_str)
+                                if 1000 <= device_id <= 1999:  # 只考虑1000-1999范围内的设备ID
+                                    device_ids.append(device_id)
+                                    print(f"📱 发现设备ID: {device_id}")
+                    except (ValueError, IndexError) as e:
+                        # 忽略解析错误的行
+                        print(f"⚠️ 忽略无法解析的行: {line}")
+                        continue
+            
+            # 对设备ID进行排序
+            device_ids.sort()
+            
+            # 找到下一个可用的ID
+            next_id = 1001
+            for device_id in device_ids:
+                if device_id == next_id:
+                    next_id += 1
+                elif device_id > next_id:
+                    break
+            
+            # 确保ID在有效范围内
+            if next_id > 1999:
+                next_id = 1001  # 如果超出范围，从头开始
+                
+            print(f"📊 查询到已注册设备: {device_ids}")
+            print(f"🆕 分配新设备ID: {next_id}")
+            return next_id
+        else:
+            print(f"❌ 查询InfluxDB失败: {response.status_code} - {response.text}")
+            # 如果查询失败，返回默认ID
+            return 1001
+    except Exception as e:
+        print(f"❌ 查询设备ID时出错: {e}")
+        import traceback
+        traceback.print_exc()
+        # 如果查询失败，返回默认ID
+        return 1001
+
+def register_device():
+    """注册设备并获取设备ID"""
+    global assigned_device_id
+    
+    # 检查配置的设备ID
+    if CONFIG_DEVICE_ID == 0:
+        # 自动注册模式
+        try:
+            # 获取下一个可用的设备ID
+            next_device_id = get_next_device_id()
+            assigned_device_id = next_device_id
+            
+            print(f"✅ 设备注册成功! 设备ID: {assigned_device_id} (0x{assigned_device_id:04X})")
+            return True
+        except Exception as e:
+            print(f"❌ 注册过程中发生错误: {e}")
+            return False
+    elif 1000 <= CONFIG_DEVICE_ID <= 1999:
+        # 固定设备ID模式
+        assigned_device_id = CONFIG_DEVICE_ID
+        print(f"✅ 使用固定设备ID: {assigned_device_id} (0x{assigned_device_id:04X})")
+        return True
+    else:
+        # 配置的设备ID无效
+        print(f"❌ 配置的设备ID {CONFIG_DEVICE_ID} 无效，请设置为0（自动注册）或1000~1999之间的值")
+        return False
+
+def save_data_to_influxdb(protocol_id, data_value):
+    """保存日常数据到InfluxDB"""
+    try:
+        # 根据协议ID确定字段名
+        field_mapping = {
+            1: "heartRate",
+            2: "breathingRate", 
+            13: "personDetected",
+            14: "humanActivity",
+            15: "humanDistance",  # 人体距离 (cm)
+            16: "humanPosition",  # 人体方位 (cm)
+            17: "sleepState"      # 睡眠状态
+        }
+        
+        if protocol_id in field_mapping:
+            field_name = field_mapping[protocol_id]
+            
+            # 创建数据点 - 使用 "daily_data" 作为测量值名称
+            data_point = {
+                "measurement": "daily_data",  # 改为 daily_data 以区分日常数据
+                "tags": {
+                    "deviceId": assigned_device_id,
+                    "dataType": "daily"  # 标识这是日常数据
+                },
+                "time": datetime.utcnow().isoformat() + "Z",
+                "fields": {}
+            }
+            
+            # 对特定字段进行数值处理
+            if protocol_id in [1, 2]:  # 心率和呼吸频率需要除以10
+                data_point["fields"][field_name] = float(data_value) / 10.0
+            elif protocol_id in [13, 14]:  # 人检/活动数据，确保是整数0或1
+                # 强制转换为整数，确保只有0或1
+                data_point["fields"][field_name] = int(data_value)
+                if data_point["fields"][field_name] not in [0, 1]:
+                    print(f"⚠️ 警告: 人检/活动数据值异常: {data_value}, 强制转换为: {data_point['fields'][field_name]}")
+            elif protocol_id == 15:  # 人体距离，范围0-65535
+                data_point["fields"][field_name] = int(data_value)
+            elif protocol_id == 16:  # 人体方位，可以是正负值
+                data_point["fields"][field_name] = int(data_value)
+            elif protocol_id == 17:  # 睡眠状态，使用预定义值
+                data_point["fields"][field_name] = int(data_value)
+            else:
+                data_point["fields"][field_name] = data_value
+
+            # 发送数据到InfluxDB
+            url = f"{INFLUXDB_URL}/api/v2/write?org={INFLUXDB_ORG}&bucket={INFLUXDB_BUCKET}"
+            headers = {
+                "Authorization": f"Token {INFLUXDB_TOKEN}",
+                "Content-Type": "text/plain; charset=utf-8"
+            }
+            
+            # 构造行协议格式的数据，明确指定数据类型
+            if protocol_id in [13, 14, 15, 16, 17]:
+                # 对于人检/活动/距离/位置/睡眠状态数据，使用整数格式
+                line_protocol = f"daily_data,deviceId={assigned_device_id},dataType=daily {field_name}={int(data_point['fields'][field_name])}i"
+            else:
+                # 对于其他数据，使用浮点数格式
+                line_protocol = f"daily_data,deviceId={assigned_device_id},dataType=daily {field_name}={data_point['fields'][field_name]}"
+            
+            response = requests.post(url, headers=headers, data=line_protocol)
+            if response.status_code == 204:
+                print(f"✅ 日常数据已保存到InfluxDB设备{assigned_device_id}上: {field_name}={data_point['fields'][field_name]}")
+            else:
+                print(f"❌ 保存日常数据到InfluxDB失败: {response.status_code} - {response.text}")
+        else:
+            print(f"⚠️ 未知的协议ID: {protocol_id}")
+            
+    except Exception as e:
+        print(f"❌ 保存日常数据到InfluxDB时出错: {e}")
+        import traceback
+        traceback.print_exc()
+
+def save_sleep_data_to_influxdb(sleep_data):
+    """保存睡眠数据到InfluxDB"""
+    try:
+        # 构造睡眠数据的行协议格式 - 使用 "sleep_data" 作为测量值名称
+        line_protocol = f"sleep_data,deviceId={assigned_device_id},dataType=sleep "
+        
+        # 按顺序添加各个字段
+        fields = []
+        fields.append(f"sleepQualityScore={int(sleep_data['sleepQualityScore'])}i")  # 1B 睡眠质量评分 (0~100)
+        fields.append(f"totalSleepDuration={int(sleep_data['totalSleepDuration'])}i")  # 2B 睡眠总时长 (0~65535 分钟)
+        fields.append(f"awakeDurationRatio={int(sleep_data['awakeDurationRatio'])}i")  # 1B 清醒时长占比 (0~100)
+        fields.append(f"lightSleepRatio={int(sleep_data['lightSleepRatio'])}i")  # 1B 浅睡时长占比 (0~100)
+        fields.append(f"deepSleepRatio={int(sleep_data['deepSleepRatio'])}i")  # 1B 深睡时长占比 (0~100)
+        fields.append(f"outOfBedDuration={int(sleep_data['outOfBedDuration'])}i")  # 1B 离床时长 (0~255)
+        fields.append(f"outOfBedCount={int(sleep_data['outOfBedCount'])}i")  # 1B 离床次数 (0~255)
+        fields.append(f"turnCount={int(sleep_data['turnCount'])}i")  # 1B 翻身次数 (0~255)
+        fields.append(f"avgBreathingRate={int(sleep_data['avgBreathingRate'])}i")  # 1B 平均呼吸 (0~25)
+        fields.append(f"avgHeartRate={int(sleep_data['avgHeartRate'])}i")  # 1B 平均心跳 (0~100)
+        fields.append(f"apneaCount={int(sleep_data['apneaCount'])}i")  # 1B 呼吸暂停次数 (0~10)
+
+        line_protocol += ",".join(fields)
+        
+        # 发送数据到InfluxDB
+        url = f"{INFLUXDB_URL}/api/v2/write?org={INFLUXDB_ORG}&bucket={INFLUXDB_BUCKET}"
+        headers = {
+            "Authorization": f"Token {INFLUXDB_TOKEN}",
+            "Content-Type": "text/plain; charset=utf-8"
+        }
+        
+        response = requests.post(url, headers=headers, data=line_protocol)
+        if response.status_code == 204:
+            print(f"✅ 睡眠数据已保存到InfluxDB设备{assigned_device_id}上")
+        else:
+            print(f"❌ 保存睡眠数据到InfluxDB失败: {response.status_code} - {response.text}")
+    except Exception as e:
+        print(f"❌ 保存睡眠数据到InfluxDB时出错: {e}")
+        import traceback
+        traceback.print_exc()
+
+def generate_random_sleep_data():
+    """生成随机睡眠数据用于测试"""
+    sleep_data = {
+        "sleepQualityScore": random.randint(0, 100),  # 1B 睡眠质量评分 (0~100)
+        "totalSleepDuration": random.randint(0, 65535),  # 2B 睡眠总时长 (0~65535 分钟)
+        "awakeDurationRatio": random.randint(0, 100),  # 1B 清醒时长占比 (0~100)
+        "lightSleepRatio": random.randint(0, 100),  # 1B 浅睡时长占比 (0~100)
+        "deepSleepRatio": random.randint(0, 100),  # 1B 深睡时长占比 (0~100)
+        "outOfBedDuration": random.randint(0, 255),  # 1B 离床时长 (0~255)
+        "outOfBedCount": random.randint(0, 255),  # 1B 离床次数 (0~255)
+        "turnCount": random.randint(0, 255),  # 1B 翻身次数 (0~255)
+        "avgBreathingRate": random.randint(0, 25),  # 1B 平均呼吸 (0~25)
+        "avgHeartRate": random.randint(0, 100),  # 1B 平均心跳 (0~100)
+        "apneaCount": random.randint(0, 10),  # 1B 呼吸暂停次数 (0~10)
+    }
+    
+    # 确保比例字段总和为100
+    total_ratio = sleep_data["awakeDurationRatio"] + sleep_data["lightSleepRatio"] + sleep_data["deepSleepRatio"]
+    if total_ratio != 100:
+        # 调整浅睡时长占比以确保总和为100
+        adjustment = 100 - total_ratio
+        sleep_data["lightSleepRatio"] = max(0, min(100, sleep_data["lightSleepRatio"] + adjustment))
+        
+        # 再次检查总和
+        total_ratio = sleep_data["awakeDurationRatio"] + sleep_data["lightSleepRatio"] + sleep_data["deepSleepRatio"]
+        if total_ratio != 100:
+            # 如果仍然不是100，则最后一次调整浅睡占比
+            sleep_data["lightSleepRatio"] += (100 - total_ratio)
+            sleep_data["lightSleepRatio"] = max(0, min(100, sleep_data["lightSleepRatio"]))
+    
+    return sleep_data
+
+def main():
+    global assigned_device_id
+    
+    try:
+        # 第一步：注册设备获取设备ID
+        if not register_device():
+            print("❌ 设备注册失败，程序退出")
+            return
+        
+        print(f"🎯 开始使用设备ID {assigned_device_id} 发送数据...")
+        
+        # 启动时立即发送一次睡眠数据
+        print("⏰ 启动时生成并发送睡眠数据...")
+        initial_sleep_data = generate_random_sleep_data()
+        save_sleep_data_to_influxdb(initial_sleep_data)
+        
+        # 记录上次发送睡眠数据的时间
+        last_sleep_data_time = time.time()
+        
+        # 第二步：开始发送数据
+        while True:
+            # 初始化数据值
+            data_value = 0
+            
+            # 发送其他数据
+            protocol_id = random.choice([1, 2, 13, 14, 15, 16, 17])  # 1=心跳, 2=呼吸, 13=检测到人, 14=人体活动, 15=人体距离, 16=人体方位, 17=睡眠状态
+            
+            if protocol_id == 1:  # 心跳
+                data_value = random.randint(600, 1000)
+            elif protocol_id == 2:  # 呼吸
+                data_value = random.randint(120, 200)
+            elif protocol_id == 13:  # 检测到人（1检测到，0未检测到）
+                data_value = random.choice([1])
+            elif protocol_id == 14:  # 人体活动（1活动，0静止）
+                data_value = random.choice([0])
+            elif protocol_id == 15:  # 人体距离 (cm)，范围0-65535
+                data_value = random.randint(0, 65535)
+            elif protocol_id == 16:  # 人体方位 (cm)，可以有正负值
+                data_value = random.randint(-32768, 32767)
+            elif protocol_id == 17:  # 睡眠状态 (0x00=深睡, 0x01=浅睡, 0x02=清醒, 0x03=无)
+                data_value = random.choice([0, 1, 2, 3])
+            
+            # 直接发送数据到InfluxDB
+            save_data_to_influxdb(protocol_id, data_value)
+            
+            # 每隔一段时间（例如30分钟）发送一次睡眠数据
+            current_time = time.time()
+            if current_time - last_sleep_data_time >= 1800:  # 30分钟 = 1800秒
+                print("⏰ 生成并发送睡眠数据...")
+                sleep_data = generate_random_sleep_data()
+                save_sleep_data_to_influxdb(sleep_data)
+                last_sleep_data_time = current_time
+            
+            # 设置发送间隔
+            time.sleep(0.4)  # 每0.4秒发送一次数据
+            
+    except KeyboardInterrupt:
+        print(f"\n🛑 设备 {assigned_device_id} 发送端已停止")
+    except Exception as e:
+        print(f"❌ 发生错误: {e}")
+
+if __name__ == "__main__":
+    main()

tcp-output(5).py

@@ -1,243 +0,0 @@
-import time
-import random
-import requests
-from datetime import datetime
-
-# 添加InfluxDB配置
-INFLUXDB_URL = 'http://8.134.11.76:8086'
-INFLUXDB_TOKEN = 'KuTa5ZsqoHIhi2IglOO06zExUYw1_mJ6K0mcA9X1y6O6CJDog3_Cgr8mUw1SwpuCCKRElqxa6wAhrrhsYPytkg=='
-INFLUXDB_ORG = 'gzlg'
-INFLUXDB_BUCKET = 'gzlg'
-
-# 配置设备ID：设置为0则自动注册，设置为1000~1999则固定使用该ID
-CONFIG_DEVICE_ID = 1002
-
-# 分配的设备ID（初始为None，注册后更新）
-assigned_device_id = None
-# 相位计数器
-phase_counter = 0
-
-def get_next_device_id():
-    """从InfluxDB查询已注册的设备ID，并返回下一个可用的ID"""
-    try:
-        # 查询InfluxDB中已存在的设备ID
-        query = '''
-        from(bucket: "{}")
-          |> range(start: -365d)
-          |> filter(fn: (r) => r["_measurement"] == "device_data")
-          |> keep(columns: ["deviceId"])
-          |> distinct(column: "deviceId")
-          |> sort()
-        '''.format(INFLUXDB_BUCKET)
-        
-        url = f"{INFLUXDB_URL}/api/v2/query?org={INFLUXDB_ORG}"
-        headers = {
-            "Authorization": f"Token {INFLUXDB_TOKEN}",
-            "Content-Type": "application/json"
-        }
-        data = {
-            "query": query
-        }
-        
-        response = requests.post(url, headers=headers, json=data)
-        print(f"🔍 InfluxDB查询响应状态: {response.status_code}")
-        if response.status_code == 200:
-            print(f"🔍 InfluxDB查询响应内容: {response.text}")
-            # 解析响应数据
-            device_ids = []
-            lines = response.text.strip().split('\n')
-            for line in lines:
-                if line and not line.startswith('#') and 'deviceId' not in line:
-                    try:
-                        # 解析CSV格式的响应数据
-                        # 格式类似于: ,_result,0,1001,1001
-                        parts = line.split(',')
-                        if len(parts) >= 5:
-                            # deviceId在第4个位置（索引3）
-                            device_id_str = parts[3].strip()
-                            if device_id_str:
-                                device_id = int(device_id_str)
-                                if 1000 <= device_id <= 1999:  # 只考虑1000-1999范围内的设备ID
-                                    device_ids.append(device_id)
-                                    print(f"📱 发现设备ID: {device_id}")
-                    except (ValueError, IndexError) as e:
-                        # 忽略解析错误的行
-                        print(f"⚠️ 忽略无法解析的行: {line}")
-                        continue
-            
-            # 对设备ID进行排序
-            device_ids.sort()
-            
-            # 找到下一个可用的ID
-            next_id = 1001
-            for device_id in device_ids:
-                if device_id == next_id:
-                    next_id += 1
-                elif device_id > next_id:
-                    break
-            
-            # 确保ID在有效范围内
-            if next_id > 1999:
-                next_id = 1001  # 如果超出范围，从头开始
-                
-            print(f"📊 查询到已注册设备: {device_ids}")
-            print(f"🆕 分配新设备ID: {next_id}")
-            return next_id
-        else:
-            print(f"❌ 查询InfluxDB失败: {response.status_code} - {response.text}")
-            # 如果查询失败，返回默认ID
-            return 1001
-    except Exception as e:
-        print(f"❌ 查询设备ID时出错: {e}")
-        import traceback
-        traceback.print_exc()
-        # 如果查询失败，返回默认ID
-        return 1001
-
-def register_device():
-    """注册设备并获取设备ID"""
-    global assigned_device_id
-    
-    # 检查配置的设备ID
-    if CONFIG_DEVICE_ID == 0:
-        # 自动注册模式
-        try:
-            # 获取下一个可用的设备ID
-            next_device_id = get_next_device_id()
-            assigned_device_id = next_device_id
-            
-            print(f"✅ 设备注册成功! 设备ID: {assigned_device_id} (0x{assigned_device_id:04X})")
-            return True
-        except Exception as e:
-            print(f"❌ 注册过程中发生错误: {e}")
-            return False
-    elif 1000 <= CONFIG_DEVICE_ID <= 1999:
-        # 固定设备ID模式
-        assigned_device_id = CONFIG_DEVICE_ID
-        print(f"✅ 使用固定设备ID: {assigned_device_id} (0x{assigned_device_id:04X})")
-        return True
-    else:
-        # 配置的设备ID无效
-        print(f"❌ 配置的设备ID {CONFIG_DEVICE_ID} 无效，请设置为0（自动注册）或1000~1999之间的值")
-        return False
-
-def save_data_to_influxdb(protocol_id, data_value):
-    """保存数据到InfluxDB"""
-    try:
-        # 创建数据点
-        data_point = {
-            "measurement": "device_data",
-            "tags": {
-                "deviceId": assigned_device_id
-            },
-            "time": datetime.utcnow().isoformat() + "Z",
-            "fields": {}
-        }
-        
-        # 根据协议ID确定字段名
-        field_mapping = {
-            1: "heartRate",
-            2: "breathingRate", 
-            3: "heartPhase",
-            4: "breathingPhase",
-            13: "personDetected",
-            14: "humanActivity"
-        }
-        
-        if protocol_id in field_mapping:
-            field_name = field_mapping[protocol_id]
-            
-            # 对特定字段进行数值处理
-            if protocol_id in [1, 2]:  # 心率和呼吸频率需要除以10
-                data_point["fields"][field_name] = float(data_value) / 10.0
-            elif protocol_id in [3, 4]:  # 相位数据需要除以1000
-                data_point["fields"][field_name] = float(data_value) / 1000.0
-            elif protocol_id in [13, 14]:  # 人检/活动数据，确保是整数0或1
-                # 强制转换为整数，确保只有0或1
-                data_point["fields"][field_name] = int(data_value)
-                if data_point["fields"][field_name] not in [0, 1]:
-                    print(f"⚠️ 警告: 人检/活动数据值异常: {data_value}, 强制转换为: {data_point['fields'][field_name]}")
-            else:
-                data_point["fields"][field_name] = data_value
-                
-            print(f"📊 准备保存数据: 协议ID={protocol_id}, 字段={field_name}, 值={data_point['fields'][field_name]}, 原始值={data_value}")
-                
-            # 发送数据到InfluxDB
-            url = f"{INFLUXDB_URL}/api/v2/write?org={INFLUXDB_ORG}&bucket={INFLUXDB_BUCKET}"
-            headers = {
-                "Authorization": f"Token {INFLUXDB_TOKEN}",
-                "Content-Type": "text/plain; charset=utf-8"
-            }
-            
-            # 构造行协议格式的数据，明确指定数据类型
-            if protocol_id in [13, 14]:
-                # 对于人检/活动数据，使用整数格式
-                line_protocol = f"device_data,deviceId={assigned_device_id} {field_name}={int(data_point['fields'][field_name])}i"
-            else:
-                # 对于其他数据，使用浮点数格式
-                line_protocol = f"device_data,deviceId={assigned_device_id} {field_name}={data_point['fields'][field_name]}"
-            
-            response = requests.post(url, headers=headers, data=line_protocol)
-            if response.status_code == 204:
-                print(f"✅ 数据已保存到InfluxDB设备{assigned_device_id}上: {field_name}={data_point['fields'][field_name]}")
-            else:
-                print(f"❌ 保存数据到InfluxDB失败: {response.status_code} - {response.text}")
-        else:
-            print(f"⚠️ 未知的协议ID: {protocol_id}")
-            
-    except Exception as e:
-        print(f"❌ 保存数据到InfluxDB时出错: {e}")
-        import traceback
-        traceback.print_exc()
-
-def main():
-    global assigned_device_id, phase_counter
-    
-    try:
-        # 第一步：注册设备获取设备ID
-        if not register_device():
-            print("❌ 设备注册失败，程序退出")
-            return
-        
-        print(f"🎯 开始使用设备ID {assigned_device_id} 发送数据...")
-        
-        # 第二步：开始发送数据
-        while True:
-            # 初始化数据值
-            data_value = 0
-            
-            # 每发送100个相位数据后发送其他数据
-            if phase_counter < 2:
-                # 发送相位数据 (心率相位或呼吸相位)
-                protocol_id = random.choice([3, 4])  # 3=心率相位, 4=呼吸相位
-                data_value = random.randint(-10000, 10000)
-                phase_counter += 1
-            else:
-                # 重置计数器
-                phase_counter = 0
-                
-                # 发送其他数据
-                protocol_id = random.choice([1, 2, 13, 14])  # 1=心跳, 2=呼吸, 13=检测到人, 14=人体活动
-                
-                if protocol_id == 1:  # 心跳
-                    data_value = random.randint(600, 1000)
-                elif protocol_id == 2:  # 呼吸
-                    data_value = random.randint(120, 200)
-                elif protocol_id == 13:  # 检测到人（1检测到，0未检测到）
-                    data_value = random.choice([0, 1])
-                elif protocol_id == 14:  # 人体活动（1活动，0静止）
-                    data_value = random.choice([0, 1])
-            
-            # 直接发送数据到InfluxDB
-            save_data_to_influxdb(protocol_id, data_value)
-            
-            # 设置发送间隔
-            time.sleep(0.1)  # 每100ms发送一次数据
-            
-    except KeyboardInterrupt:
-        print(f"\n🛑 设备 {assigned_device_id} 发送端已停止")
-    except Exception as e:
-        print(f"❌ 发生错误: {e}")
-
-if __name__ == "__main__":
-    main()