README.TXT
2023/6/15
V1.0 实现了单个点位数据通信、数据解析、数据存储
2023/6/17
V2.0 实现了多个点位数据通信、数据解析、数据存储
2023/6/19
V2.1 完善log存储，仅保留近3天的log记录，避免不必要的存储；限制log大小，2MB。
架构介绍
使用Python开发服务器程序，实现以下功能：
- 采用问询的方式读取各类传感器数据
- 正确高速解析各类传感器的数据
- 存储解析后的各类传感器数据
- 存储程序运行过程中的log
- 管理log，超过一定量、一定时间自动删除log
打包发布 或者在后台运行py服务器程序
硬件介绍 传感器 串口服务器 采集模块 5G通信模块
主要传感器
485电子水尺传感器
该传感器支持485通信
其他硬件：
485漏液侦测传感器
485采集模块
串口服务器
5G通信模块
调试工具
采集模块调试工具
485电子水尺调试工具
串口调试助手，主要用于 漏液传感器
其他工具
CRC计算器，不过我一般都是自己写CRC校验程序，CRC校验程序放在后面完整代码了
WIN10自带的计算器
调试过程
完整代码 LOG存储功能、数据读取解析存储功能
#!D:/workplace/python
# -*- coding: utf-8 -*-
# @File : main0620.py
# @Author:Romulushe
# @Time : 2023/6/20 13:53
# @Software: PyCharm
# @Use: PyCharm
import os
import sys
import logging
import time
from logging.handlers import RotatingFileHandler
import shutil
import socket
import threading
import pymysql
import binascii
import time
import datetimebase_path = os.path.dirname(os.path.realpath(sys.argv[0]))def get_log_path():return os.path.join(base_path, 'logs')def cleanup_logs():log_path = get_log_path()current_time = time.time()for file_name in os.listdir(log_path):file_path = os.path.join(log_path, file_name)if os.path.isfile(file_path):creation_time = os.path.getctime(file_path)if current_time - creation_time > (3 * 24 * 60 * 60):os.remove(file_path)def configure_logging():log_path = get_log_path()os.makedirs(log_path, exist_ok=True)log_filename = get_log_filename()log_file = os.path.join(log_path, log_filename)logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s', filename=log_file)def get_log_filename():now = datetime.datetime.now()return now.strftime("%Y-%m-%d_%H-%M.log")def create_new_log():log_path = get_log_path()log_files = os.listdir(log_path)if len(log_files) >= 20:oldest_file = min(log_files)os.remove(os.path.join(log_path, oldest_file))log_filename = get_log_filename()log_filepath = os.path.join(log_path, log_filename)return log_filepathdef check_log_size(log_filepath):log_size = os.path.getsize(log_filepath)if log_size > 2 * 1024 * 1024:# 创建新的日志文件new_log_filepath = create_new_log()try:shutil.move(log_filepath, new_log_filepath)return new_log_filepathexcept PermissionError:insert_log(logger, f'{log_filepath} {PermissionError}', log_filepath)time.sleep(0.1)return log_filepathreturn log_filepathdef insert_log(logger, log_message, log_filepath):log_filepath = check_log_size(log_filepath)# 创建文件处理器file_handler = RotatingFileHandler(log_filepath, maxBytes=2 * 1024 * 1024, backupCount=1)file_handler.setLevel(logging.DEBUG)formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')file_handler.setFormatter(formatter)# 添加文件处理器到日志记录器logger.addHandler(file_handler)try:logger.debug(log_message)except PermissionError:insert_log(logger, f'{log_message} {PermissionError}', log_filepath)time.sleep(0.1) # 延迟0.1秒# 移除文件处理器logger.removeHandler(file_handler)# 定义个函数，使其专门重复处理客户端的请求数据（也就是重复接受一个用户的消息并且重复回答，直到用户选择下线）
def client_request_1(tcp_client_1, tcp_client_address):#print(tcp_client_1)# 循环接收和发送数据while True:# #print(datetime.datetime.today())# msg=["010300000005859C","02020000000879FF"]# msg=['010300010001D5CA',"02020000000879FF"]# msg=["010300000001840A","02020000000879FF"]#8点位msg=msg_address(tcp_client_address)# interval =60interval = int(60 / len(msg))# print(interval,type(interval))for i in msg:try:tcp_client_1.send(binascii.unhexlify(i))recv_data = tcp_client_1.recv(4096)# 有消息就回复数据，消息长度为0就是说明客户端下线了if recv_data:# #print(f"recv_data:{recv_data}")bistr = binascii.hexlify(recv_data).decode('utf8')# print("==================================================")# print(f"读数：【{bistr}】,{len(bistr)}")try:if (bistr.startswith('010302') or bistr.startswith('030302') ) and len(bistr) >=14:bistr=bistr[:15]# # 输入数据input_data = bistr[:-4]# # 计算带有校验码的结果result = calculate_checksum(input_data)if bistr == result:waterLevel = int(bistr[6:10], 16)print("水深", waterLevel, "cm", bistr, bistr[6:10], bistr[:-4], bistr[-4:], "input_data:",{input_data}, " result:", {result})# #print(bistr==result)ip_address(tcp_client_address[0], tcp_client_address[1], waterLevel, 'water')if bistr.startswith("020201") and len(bistr) >= 12:bistr = bistr[:13]# 输入数据input_data = bistr[:-4]# 计算带有校验码的结果result = calculate_checksum(input_data)# #print(result==bistr)if result == bistr:data = data_address(bistr)#print(f"水泵采集模块状态:{data}")ip_address(tcp_client_address[0], tcp_client_address[1], data, 'status')ip_address(tcp_client_address[0], tcp_client_address[1], data, 'fault')if bistr.startswith("0104") and len(bistr) >= 14:bistr = bistr[:15]# 输入数据input_data = bistr[:-4]# # 计算带有校验码的结果result = calculate_checksum(input_data)if result == bistr:# #print(f"bistr[6:10]:{bistr[6:10]}")data =int(bistr[6:10], 16)#print(f"漏液检测状态:{data}")ip_address(tcp_client_address[0], tcp_client_address[1], data, 'liquid')except Exception as e:insert_log(logger, f'{tcp_client_address} {e}', log_filepath)#print(e)else:#print("%s 客户端下线了..." % tcp_client_address[1])insert_log(logger, f'{tcp_client_address[1]} OFFLINE', log_filepath)tcp_client_1.close()break# time.sleep(interval)time.sleep(2)except Exception as e:insert_log(logger, f'{tcp_client_address} {i} {e}', log_filepath)#print(f"{tcp_client_address} {i} {e}")# 连接数据库
def connect_database(host, port, user, password, db_name):try:conn = pymysql.connect(host=host, port=port, user=user, password=password, db=db_name)# print("成功连接到数据库")return connexcept pymysql.Error as e:insert_log(logger, f'DATABASE CONNECT FAILED', log_filepath)# print(f"数据库连接失败: {e}")# 插入数据
def insert_data(conn, types,table_name, create_time, location_no, parameter_desc, location, param_value):try:cursor = conn.cursor()sql = f"INSERT INTO {table_name} (TYPE, CREATE_TIME, LOCATION_NO, PARAMETER_DESC, LOCATION, PARAMVALUE) " \f"VALUES (%s, %s, %s, %s, %s, %s)"cursor.execute(sql, (types,create_time, location_no, parameter_desc, location, param_value))conn.commit()# print(f"数据插入成功: {create_time}, {parameter_desc}: {param_value}")cursor.close()except pymysql.Error as e:insert_log(logger, f'DATABASE INSERT DATA FAILED', log_filepath)# print(f"数据插入失败: {e}")def msg_address(tcp_client_address):if tcp_client_address[0] == '根据实际IP修改' or tcp_client_address[0] == '根据实际IP修改' or tcp_client_address[0] == '根据实际IP修改' :msg = ["010300000001840A", "02020000000879FF"] # 8点位无其他，水位01,状态02return msgif (tcp_client_address[0] == '根据实际IP修改' and tcp_client_address[1] == 10010 )or tcp_client_address[0] == '根据实际IP修改' or (tcp_client_address[0] == '根据实际IP修改' and tcp_client_address[1] == 10000 ) or tcp_client_address[0] == '根据实际IP修改' or tcp_client_address[0] == '根据实际IP修改' :msg =["010300000001840A", "02020000000879FF"] # 4点位非漏液，水位01,状态02return msgif (tcp_client_address[0] =='根据实际IP修改' and tcp_client_address[1] == 10000 )or (tcp_client_address[0] == '根据实际IP修改' and tcp_client_address[1] == 10010):msg = ["01040000000131CA"] # 4点位漏液return msgif tcp_client_address[0] == '根据实际IP修改' :msg = ["010300010001D5CA","01040000000131CA"] # 2点位漏液,漏液01,水位02return msgif tcp_client_address[0] == '根据实际IP修改' :msg = ["03030000000185E8","02020000000879FF"] # 展厅漏液01,水位03，状态02# msg = ["03030000000185E8", "02020000000879FF", "01040000000131CA"] # 展厅漏液01,水位03，状态02return msg#ip判断
def ip_address(ip,port,param_value,notes):host = ''#根据实际情况自定义port = 3306user =''#根据实际情况自定义password = ''#根据实际情况自定义db_name = ''#根据实际情况自定义table_name =''#根据实际情况自定义# 连接数据库conn = connect_database(host, port, user, password, db_name)#8点位采集+水尺if str(ip)==''#根据实际情况自定义:#只有1号端口#水位尺数据#采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location = ''#根据实际情况自定义# 模拟数据if notes=='water':location_no =''#根据实际情况自定义parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes=='status':data=param_value# print("data:",data)status1=data[0]#1status2=data[1]#2status3=data[4]#5status4=data[6]#7# print("status1,status2,status3,status4:",status1,status2,status3,status4)# # 插入1号数据location_no = 'D04-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D04-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)# 插入3号数据location_no = 'D04-03'parameter_desc = '3号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status3)# 插入4号数据location_no = 'D04-04'parameter_desc = '4号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status4)if notes=='fault':data = param_valuefault1 = data[2]#3fault2 = data[3]#4fault3 = data[5]#6fault4 = data[7]#8# print("fault1,fault2,fault3,fault4:",fault1,fault2,fault3,fault4)# 插入1号数据location_no = 'D04-05'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D04-06'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)# 插入3号数据location_no = 'D04-07'parameter_desc = '3号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault3)# 插入4号数据location_no = 'D04-08'parameter_desc = '4号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault4)# 8点位采集+水尺if str(ip)==''#根据实际情况自定义:#只有1号端口#水位尺数据#采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location =''#根据实际情况自定义# 模拟数据if notes=='water':location_no = 'D07'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes=='status':data=param_valuestatus1=data[0]status2=data[1]status3=data[2]status4=data[3]#print("status1,status2,status3,status4:",status1,status2,status3,status4)# 插入1号数据location_no = 'D07-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D07-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)# 插入3号数据location_no = 'D07-03'parameter_desc = '3号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status3)# 插入4号数据location_no = 'D07-04'parameter_desc = '4号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status4)if notes=='fault':data=param_valuefault1 = data[4]fault2 = data[5]fault3 = data[6]fault4 = data[7]#print("fault1,fault2,fault3,fault4:",fault1,fault2,fault3,fault4)# 插入1号数据location_no = 'D07-05'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D07-06'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)# 插入3号数据location_no = 'D07-07'parameter_desc = '3号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault3)# 插入4号数据location_no = 'D07-08'parameter_desc = '4号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault4)# 8点位采集+水尺if str(ip) == ''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location = ''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D08'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]status3 = data[2]status4 = data[3]#print("status1,status2,status3,status4:", status1, status2, status3, status4)# 插入1号数据location_no = 'D08-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D08-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)# 插入3号数据location_no = 'D08-03'parameter_desc = '3号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status3)# 插入4号数据location_no = 'D08-04'parameter_desc = '4号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status4)if notes == 'fault':data=param_valuefault1 = data[4]fault2 = data[5]fault3 = data[6]fault4 = data[7]#print("fault1,fault2,fault3,fault4:", fault1, fault2, fault3, fault4)# 插入1号数据location_no = 'D08-05'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D08-06'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)# 插入3号数据location_no = 'D08-07'parameter_desc = '3号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault3)# 插入4号数据location_no = 'D08-08'parameter_desc = '4号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault4)# 4点位采集+水尺if str(ip) ==''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location = ''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D09'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]#print("status1,status2:", status1, status2)# 插入1号数据location_no = 'D09-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D09-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)if notes == 'fault':data=param_valuefault1 = data[2]fault2 = data[3]#print("fault1,fault2:", fault1, fault2)# 插入1号数据location_no = 'D09-03'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D09-04'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)if notes == 'liquid':data_liquid = param_value# 插入漏液数据location_no = 'F03'parameter_desc = ''#根据实际情况自定义location=''#根据实际情况自定义insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, data_liquid)# 4点位采集+水尺if str(ip) ==''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location =''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D06'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]#print("status1,status2:", status1, status2)# 插入1号数据location_no = 'D06-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D06-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)if notes == 'fault':data=param_valuefault1 = data[2]fault2 = data[3]#print("fault1,fault2:", fault1, fault2)# 插入1号数据location_no = 'D06-03'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D06-04'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)# 4点位采集+水尺if str(ip) ==''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location = ''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D05'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]# 插入1号数据location_no = 'D05-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D05-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)if notes == 'fault':data=param_valuefault1 = data[2]fault2 = data[3]# 插入1号数据location_no = 'D05-03'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D05-04'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)if notes == 'liquid':data_liquid = param_value# 插入漏液数据location_no = 'F02'parameter_desc =''#根据实际情况自定义location=''#根据实际情况自定义insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, data_liquid)# 4点位采集+水尺if str(ip) == ''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location = ''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D03'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]#print("status1,status2:", status1, status2)# 插入1号数据location_no = 'D03-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D03-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)if notes == 'fault':data=param_valuefault1 = data[2]fault2 = data[3]#print("fault1,fault2:", fault1, fault2)# 插入1号数据location_no = 'D03-03'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D03-04'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)# 4点位采集+水尺if str(ip) == ''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location =''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D01'parameter_desc = '水位值'# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]#print("status1,status2:", status1, status2)# 插入1号数据location_no = 'D01-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D01-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)if notes == 'fault':data=param_valuefault1 = data[2]fault2 = data[3]#print("fault1,fault2:", fault1, fault2)# 插入1号数据location_no = 'D01-03'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D01-04'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)# 4点位采集+水尺if str(ip) == ''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()location =''#根据实际情况自定义# 模拟数据if notes == 'water':location_no = 'D02'parameter_desc = '水位值'print( 'water:',param_value)# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'status':data=param_valuestatus1 = data[0]status2 = data[1]print("status1,status2:", status1, status2)# 插入1号数据location_no = 'D02-01'parameter_desc = '1号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status1)# 插入2号数据location_no = 'D02-02'parameter_desc = '2号泵浦状态'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, status2)if notes == 'fault':data=param_valuefault1 = data[2]fault2 = data[3]print("fault1,fault2:", fault1, fault2)# 插入1号数据location_no = 'D02-03'parameter_desc = '1号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault1)# 插入2号数据location_no = 'D02-04'parameter_desc = '2号泵浦故障'insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, fault2)if notes == 'liquid':data_liquid = param_valueprint('liquid:'.data_liquid)# 插入漏液数据location_no = 'F01'parameter_desc =''#根据实际情况自定义location=''#根据实际情况自定义insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, data_liquid)# 2点位采集+水尺if str(ip) == ''#根据实际情况自定义:# 只有1号端口# 水位尺数据# 采集模块数据# 数据库连接信息types = '防汛'create_time = datetime.datetime.now()# 模拟数据if notes == 'water':location_no = 'D10'parameter_desc = '水位值'location =''#根据实际情况自定义# 插入数据insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, param_value)if notes == 'liquid':data_liquid = param_value# 插入漏液数据location_no = 'F04'parameter_desc = ''#根据实际情况自定义location = ''#根据实际情况自定义insert_data(conn, types, table_name, create_time, location_no, parameter_desc, location, data_liquid)def data_address(data):extracted_data = data[6:8]binary_data = bin(int(extracted_data, 16))[2:].zfill(8)reversed_data = binary_data[::-1]return reversed_data#CRC校验
def calculate_crc(data):crc = 0xFFFFpolynomial = 0xA001for byte in data:crc ^= bytefor _ in range(8):if crc & 0x0001:crc >>= 1crc ^= polynomialelse:crc >>= 1return crcdef calculate_checksum(data):# 将输入数据转换为字节列表data_bytes = bytes.fromhex(data)# 计算校验码crc_value = calculate_crc(data_bytes)crc_bytes = crc_value.to_bytes(2, 'big') # 将校验码转换为2字节的大端字节序checksum = ''.join(format(byte, '02x') for byte in reversed(crc_bytes)) # 转换为十六进制字符串，并反转字节顺序# 将校验码插入到原数据之后result = data + checksumreturn resultif __name__ == '__main__':configure_logging()cleanup_logs()log_filepath = create_new_log()logger = logging.getLogger()logger.setLevel(logging.DEBUG)oldtime = datetime.datetime.today()# 创建服务端套接字对象tcp_server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)# 设置端口复用，使程序退出后端口马上释放tcp_server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, True)# 绑定端口tcp_server.bind(("", 8050))# 设置监听tcp_server.listen(128)# 循环等待客户端连接请求while True:tcp_client_1, tcp_client_address = tcp_server.accept()tcp_client_1.settimeout(10)# 创建多线程对象thd = threading.Thread(target=client_request_1, args=(tcp_client_1, tcp_client_address))# #print(thd)# 设置守护主线程thd.setDaemon(True)# 启动子线程对象thd.start()# 关闭服务器套接字# tcp_server.close()`
