风向风速数据采集

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风向风速数据采集

风向风速数据采集

主要采用RS485通讯

1、风速采集

首先要查询传感器在主机上的端口号和波特率(正常为4800),代码如下:

port_list = ls.list_portsports())if len(port_list) == 0:print("无可用串口!")else:for i in range(0, len(port_list)):print(port_list[i])port_num = 'COM' + input('Port Number = COM:')

根据端口返回的二进制代码转换成十六进制代码,转成十进制,最后根据产品说明书量程数据转换成正常风速

 在根据风力等级表转成对应的风力等级

全部代码

import serial
import time
ls.list_portsdef wind_speed():temp_send = '01 03 00 00 00 02 C4 0B'ser = serial.Serial(port_num, 4800)# 发送的数据转为2进制b'x01x03x00x00x00x02xc4x0b'temp_send = bytes.fromhex(temp_send)#print(temp_send)while True:if ser.is_open:#print('port open ok')ser.write(temp_send)time.sleep(1)# 获取返回的缓冲data,获取的是buffer_data的长度  9buffer_data = ser.in_waiting#print(buffer_data, 'buffer_data')if buffer_data:# 返回的数据为2进制:b'x01x03x04x01x08x022xfaxb8'return_data = ad(buffer_data)#print('返回的数据2进制:', return_data)# 二进制转换为16进制:010304010802307b79return_data_hex = str(return_data.hex())#print('返回的数据转换为16进制:', return_data_hex)# 对返回的数据进行解析,16进制转成10进制wind_speed = int(return_data_hex[6:10], 16)/10local_time = time.localtime()now_time = time.strftime("%Y/%m/%d %H:%M:%S", local_time)with open('D:\风速.txt', 'a',encoding='utf-8') as file:##with open('D:\desktop\python_study\python_exe\电流信号处理\风速.txt', 'a',encoding='utf-8') as file:if wind_speed <= 0.3:file.write(str(now_time))file.write('t无风,风速为:')file.write(str(wind_speed))file.write('m/sn')print(now_time,'t','无风', wind_speed, 'm/s')elif 0.3 <= wind_speed <=1.5:file.write(str(now_time))file.write('t一级软风,风速为:')file.write(str(wind_speed))file.write('m/sn')print(now_time,'t','1级软风', wind_speed, 'm/s')elif 1.6 <= wind_speed <=3.3:file.write(str(now_time))file.write('t二级软风,风速为:')file.write(str(wind_speed))file.write('m/sn')print(now_time, 't', '2级软风', wind_speed, 'm/s')elif 3.4 <= wind_speed <=5.4:file.write(str(now_time))file.write('t三级微风,风速为:')file.write(str(wind_speed))file.write('m/sn')print(now_time, 't', '3级微风', wind_speed, 'm/s')elif 5.5 <= wind_speed <=7.9:file.write(str(now_time))file.write('t四级和风,风速为:')file.write(str(wind_speed))file.write('m/sn')print(now_time, 't', '4级和风', wind_speed, 'm/s')elif 8.0 <= wind_speed <=10.7:print(now_time, 't', '5级清劲风', wind_speed, 'm/s')elif 10.8 <= wind_speed <=13.8:print(now_time, 't', '6级强风', wind_speed, 'm/s')elif 13.9 <= wind_speed <=17.1:print(now_time, 't', '7级疾风', wind_speed, 'm/s')elif 17.2 <= wind_speed <=20.7:print(now_time, 't', '8级大风', wind_speed, 'm/s')elif 20.8 <= wind_speed <=24.4:print(now_time, 't', '9级烈风', wind_speed, 'm/s')time.sleep(1)if __name__ == '__main__':port_list = ls.list_portsports())if len(port_list) == 0:print("无可用串口!")else:for i in range(0, len(port_list)):print(port_list[i])port_num = 'COM' + input('Port Number = COM:')wind_speed()

 2、风向采集

跟风速采集类似,要先对准北方,然后根据旋转角度得出风向

全部代码:

import serial
import timetemp_send = '01 03 00 00 00 02 C4 0B'
Port_number = input('请输入端口号(COM5/COM6/COM7):')
ser = serial.Serial(Port_number, 4800)
# 发送的数据转为2进制b'x01x03x00x00x00x02xc4x0b'
temp_send = bytes.fromhex(temp_send)
#print(temp_send)
while True:if ser.is_open:#print('port open ok')ser.write(temp_send)time.sleep(1)# 获取返回的缓冲data,获取的是buffer_data的长度  9buffer_data = ser.in_waiting#print(buffer_data, 'buffer_data')if buffer_data:# 返回的数据为2进制:b'x01x03x04x01x08x022xfaxb8'return_data = ad(buffer_data)#print('返回的数据2进制:', return_data)# 二进制转换为16进制:010304010802307b79return_data_hex = str(return_data.hex())#print('返回的数据转换为16进制:', return_data_hex)# 对返回的数据进行解析,16进制转成10进制wind_direction = int(return_data_hex[6:10], 16)local_time = time.localtime()now_time = time.strftime("%Y/%m/%d %H:%M:%S", local_time)if wind_direction == 0:print(now_time, 't', '北风')elif wind_direction == 1:print(now_time, 't', '东北风')elif wind_direction == 2:print(now_time, 't', '东风')elif wind_direction == 3:print(now_time, 't', '东南风')elif wind_direction == 4:print(now_time, 't', '南风')elif wind_direction == 5:print(now_time, 't', '西南风')elif wind_direction == 6:print(now_time, 't', '西风')elif wind_direction == 7:print(now_time, 't', '西北风')time.sleep(2)

3、温湿度采集

代码

#!/usr/bin/env python
import RPi.GPIO as GPIO
import numpy as np
import timeDHTPIN = 17  # 引脚号17GPIO.setmode(GPIO.BCM)  # 以BCM编码格式def read_dht11_dat():GPIO.setup(DHTPIN, GPIO.OUT)GPIO.output(DHTPIN, GPIO.LOW)# 给信号提示传感器开始工作,并保持低电平18ms以上time.sleep(0.02)  # 这里保持20msGPIO.output(DHTPIN, GPIO.HIGH)  # 然后输出高电平GPIO.setup(DHTPIN, GPIO.IN)# 发送完开始信号后得把输出模式换成输入模式,不然信号线上电平始终被拉高while GPIO.input(DHTPIN) == GPIO.LOW:continue# DHT11发出应答信号,输出 80 微秒的低电平while GPIO.input(DHTPIN) == GPIO.HIGH:continue# 紧接着输出 80 微秒的高电平通知外设准备接收数据# 开始接收数据j = 0  # 计数器data = []  # 收到的二进制数据kk = []  # 存放每次高电平结束后的k值的列表while j < 40:k = 0while GPIO.input(DHTPIN) == GPIO.LOW:  # 先是 50 微秒的低电平continuewhile GPIO.input(DHTPIN) == GPIO.HIGH:  # 接着是26-28微秒的高电平,或者 70 微秒的高电平k += 1if k > 100:breakkk.append(k)if k < 8:  # 26-28 微秒时高电平时通常k等于5或6data.append(0)  # 在数据列表后面添加一位新的二进制数据“0”else:  # 70 微秒时高电平时通常k等于17或18data.append(1)  # 在数据列表后面添加一位新的二进制数据“1”j += 1print("sensor is working.")print('初始数据高低电平:n', data ) # 输出初始数据高低电平print('参数k的列表内容:n', kk ) # 输出高电平结束后的k值m = np.logspace(7, 0, 8, base=2, dtype=int)  # logspace()函数用于创建一个于等比数列的数组# 即[128 64 32 16 8 4 2 1],8位二进制数各位的权值data_array = np.array(data)  # 将data列表转换为数组# dot()函数对于两个一维的数组,计算的是这两个数组对应下标元素的乘积和(数学上称之为内积)humidity = m.dot(data_array[0:8])  # 用前8位二进制数据计算湿度的十进制值humidity_point = m.dot(data_array[8:16])temperature = m.dot(data_array[16:24])temperature_point = m.dot(data_array[24:32])check = m.dot(data_array[32:40])print(humidity, humidity_point, temperature, temperature_point, check)tmp = humidity + humidity_point + temperature + temperature_point# 十进制的数据相加if check == tmp:  # 数据校验,相等则输出return humidity, temperatureelse:  # 错误输出错误信息return Falsedef main():print("Raspberry Pi DHT11 Temperature test programn")time.sleep(1)  # 通电后前一秒状态不稳定,时延一秒while True:result = read_dht11_dat()if result:humidity, temperature = resultprint("humidity: %s %%,  Temperature: %s  ℃" % (humidity, temperature))print('n')time.sleep(1)if result == False:print("Data are wrong,skipn")time.sleep(1)def destroy():GPIO.cleanup()if __name__ == '__main__':try:main()except KeyboardInterrupt:destroy()

4、采集结果

本文发布于:2024-02-01 17:30:16,感谢您对本站的认可!

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标签:风速   风向   数据采集
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