diff --git a/Python/Computer-Status.py b/Python/Computer-Status.py
index a41688f..82786ae 100644
--- a/Python/Computer-Status.py
+++ b/Python/Computer-Status.py
@@ -1,65 +1,63 @@
-import socket
-import psutil
-import time
-import json
-import wmi
-import pynvml
-
-
-def get_cpu_usage():
-    return psutil.cpu_percent(interval=1)
-
-
-def get_memory_usage():
-    memory_info = psutil.virtual_memory()
-    return memory_info.used / memory_info.total
-
-
-def get_disk_usage():
-    disk_info = psutil.disk_usage('C:\\')
-    return disk_info.free / disk_info.total
-
-
-def get_gpu_usage():
-    pynvml.nvmlInit()
-    handle = pynvml.nvmlDeviceGetHandleByIndex(0)
-    utilization = pynvml.nvmlDeviceGetUtilizationRates(handle)
-    pynvml.nvmlShutdown()
-    return utilization.gpu
-
-
-def main():
-    # 连接ESP8266开发板的TCP服务器
-    host = '192.168.1.42'  # ESP8266开发板的IP地址
-    port = 80
-    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-    sock.connect((host, port))
-
-    while True:
-        cpu_usage = get_cpu_usage()
-        memory_usage = get_memory_usage()
-        disk_usage = get_disk_usage()
-        gpu_usage = get_gpu_usage()
-
-        # 将数据封装成JSON格式
-        # 将数据封装成JSON格式
-        data = {
-            'cpu': f"{round(cpu_usage, 1)}%",  # 保留一位小数
-            'memory': f"{int(memory_usage * 100)}%",  # 转换为整数形式并加上百分号
-            'disk': f"{int(disk_usage * 100)}%",  # 转换为整数形式并加上百分号
-            'gpu': f"{int(gpu_usage)}%"  # 获取电脑 GPU 使用率
-        }
-        json_data = json.dumps(data)
-
-        # 发送JSON数据到ESP8266开发板
-        sock.sendall(json_data.encode())
-
-        # 打印发送的JSON数据
-        print(f"Sent data: {json_data}")
-
-        # 等待一段时间再进行下一次数据采集和发送
-        time.sleep(5)
-
-
-if __name__ == '__main__':
-    main()
+import socket
+import psutil
+import time
+import json
+import wmi
+import pynvml
+
+
+def get_cpu_usage():
+    return psutil.cpu_percent(interval=1)
+
+
+def get_memory_usage():
+    memory_info = psutil.virtual_memory()
+    return memory_info.used / memory_info.total
+
+
+def get_disk_usage():
+    disk_info = psutil.disk_usage('C:\\')
+    return disk_info.free / disk_info.total
+
+
+def get_gpu_usage():
+    pynvml.nvmlInit()
+    handle = pynvml.nvmlDeviceGetHandleByIndex(0)
+    utilization = pynvml.nvmlDeviceGetUtilizationRates(handle)
+    pynvml.nvmlShutdown()
+    return utilization.gpu
+
+
+def main():
+    # 连接ESP8266开发板的UDP服务器
+    host = '192.168.1.42'  # ESP8266开发板的IP地址
+    port = 8888
+    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+
+    while True:
+        cpu_usage = get_cpu_usage()
+        memory_usage = get_memory_usage()
+        disk_usage = get_disk_usage()
+        gpu_usage = get_gpu_usage()
+
+        # 将数据封装成JSON格式
+        data = {
+            'cpu': f"{round(cpu_usage, 1)}%",  # 保留一位小数
+            'memory': f"{int(memory_usage * 100)}%",  # 转换为整数形式并加上百分号
+            'disk': f"{int(disk_usage * 100)}%",  # 转换为整数形式并加上百分号
+            'gpu': f"{int(gpu_usage)}%"  # 获取电脑 GPU 使用率
+        }
+        json_data = json.dumps(data)
+
+        # 发送JSON数据到ESP8266开发板
+        sock.sendto(json_data.encode(), (host, port))
+
+        # 打印发送的JSON数据
+        print(f"Sent data: {json_data}")
+
+        # 等待一段时间再进行下一次数据采集和发送
+        time.sleep(1)
+
+
+if __name__ == '__main__':
+    main()