Radar

generate_radar_data.py

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+import random
+import time
+
+def generate_radar_data_lines(count=100):
+    """生成模拟雷达数据行"""
+    lines = []
+    
+    for i in range(count):
+        # 生成8个随机数值字段
+        # 字段含义参考代码: presence, heart_rate, breath_rate, motion, rssi, heartbeat_waveform, breathing_waveform, raw_signal
+        presence = random.choice([0, 1])  # 0=无人, 1=有人
+        heart_rate = random.uniform(0, 200) if presence else 0  # 心率 (bpm)
+        breath_rate = random.uniform(0, 60) if presence else 0   # 呼吸率 (bpm)
+        motion = random.choice([0, 1]) if presence else 0       # 运动状态
+        rssi = random.randint(-100, -30)                       # 信号强度
+        heartbeat_waveform = random.randint(-1000, 1000)       # 心跳波形
+        breathing_waveform = random.randint(-1000, 1000)       # 呼吸波形
+        raw_signal = random.randint(-100, 100)                 # 原始信号
+        
+        # 格式化为HBR01数据行
+        line = f"HBR01:{presence},{heart_rate:.0f},{breath_rate:.0f},{motion},{rssi},{heartbeat_waveform},{breathing_waveform},{raw_signal}"
+        lines.append(line)
+    
+    return lines
+
+def save_to_file(lines, filename="generated_sensor_data.txt"):
+    """保存数据到文件"""
+    with open(filename, "w", encoding="utf-8") as f:
+        for line in lines:
+            f.write(line + "\n")
+    print(f"已生成 {len(lines)} 行雷达数据并保存到 {filename}")
+
+def main():
+    # 生成1000行测试数据
+    lines = generate_radar_data_lines(1000)
+    save_to_file(lines, "generated_sensor_data.txt")
+    
+    # 显示前10行作为示例
+    print("\n前10行数据示例:")
+    for i, line in enumerate(lines[:10]):
+        print(f"{i+1:2d}: {line}")
+
+if __name__ == "__main__":
+    main()