![\"python\u5982\u4f55\u83b7\u53d6\u8f66\u8f86\u901f\u5ea6\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25194741\/8663c674-5948-4e26-a51a-4af91dc2c443.webp\")
<\/p>\n<\/p>\n
Python\u83b7\u53d6\u8f66\u8f86\u901f\u5ea6\u7684\u5e38\u7528\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528GPS\u6a21\u5757\u3001\u5229\u7528OBD-II\u63a5\u53e3\u3001\u901a\u8fc7\u6444\u50cf\u5934\u4e0e\u56fe\u50cf\u5904\u7406\u6280\u672f\u3001\u5229\u7528\u52a0\u901f\u5ea6\u4f20\u611f\u5668\u3002<\/strong>\u5176\u4e2d\uff0c\u5229\u7528OBD-II\u63a5\u53e3\u662f\u8f83\u4e3a\u76f4\u63a5\u548c\u53ef\u9760\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002OBD-II\uff08On-Board Diagnostics II\uff09\u63a5\u53e3\u662f\u73b0\u4ee3\u8f66\u8f86\u666e\u904d\u914d\u7f6e\u7684\u4e00\u79cd\u8bca\u65ad\u7cfb\u7edf\u63a5\u53e3\uff0c\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6\u8f66\u8f86\u7684\u5404\u79cd\u4f20\u611f\u5668\u6570\u636e\uff0c\u5305\u62ec\u901f\u5ea6\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u7684\u5b9e\u73b0\u6b65\u9aa4\u3002<\/p>\n<\/p>\n OBD-II\u63a5\u53e3\u662f\u73b0\u4ee3\u8f66\u8f86\u666e\u904d\u914d\u7f6e\u7684\u4e00\u79cd\u8bca\u65ad\u63a5\u53e3\uff0c\u901a\u8fc7\u8be5\u63a5\u53e3\u53ef\u4ee5\u8bfb\u53d6\u8f66\u8f86\u7684\u5404\u79cd\u4f20\u611f\u5668\u6570\u636e\uff0c\u5305\u62ec\u53d1\u52a8\u673a\u8f6c\u901f\u3001\u8f66\u8f86\u901f\u5ea6\u3001\u6cb9\u8017\u7b49\u3002\u901a\u5e38\u4f4d\u4e8e\u9a7e\u9a76\u5458\u4fa7\u7684\u4eea\u8868\u76d8\u4e0b\u65b9\u3002<\/p>\n<\/p>\n \u8981\u4f7f\u7528OBD-II\u63a5\u53e3\u8bfb\u53d6\u6570\u636e\uff0c\u9700\u8981\u4e00\u4e9b\u786c\u4ef6\u8bbe\u5907\uff1a<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 <\/code><\/pre>\n<\/p>\n connection = obd.OBD()<\/p>\n cmd = obd.commands.SPEED<\/p>\n response = connection.query(cmd)<\/p>\n print(response.value) # \u4ee5km\/h\u4e3a\u5355\u4f4d<\/p>\n <\/code><\/pre>\n<\/p>\n GPS\u6a21\u5757\u901a\u8fc7\u63a5\u6536\u536b\u661f\u4fe1\u53f7\u6765\u786e\u5b9a\u8bbe\u5907\u7684\u4f4d\u7f6e\u3001\u901f\u5ea6\u548c\u65b9\u5411\u7b49\u4fe1\u606f\u3002\u5e38\u7528\u7684GPS\u6a21\u5757\u6709UBlox\u3001NEO\u7cfb\u5217\u7b49\u3002<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 <\/code><\/pre>\n<\/p>\n gps_socket = gps3.GPSDSocket()<\/p>\n data_stream = gps3.DataStream()<\/p>\n gps_socket.connect()<\/p>\n gps_socket.watch()<\/p>\n for new_data in gps_socket:<\/p>\n if new_data:<\/p>\n data_stream.unpack(new_data)<\/p>\n print('Speed: {} m\/s'.format(data_stream.TPV['speed']))<\/p>\n <\/code><\/pre>\n<\/p>\n \u5229\u7528\u6444\u50cf\u5934\u6355\u6349\u7684\u89c6\u9891\u6d41\uff0c\u901a\u8fc7\u56fe\u50cf\u5904\u7406\u6280\u672f\u53ef\u4ee5\u5206\u6790\u8f66\u8f86\u7684\u8fd0\u52a8\u8f68\u8ff9\uff0c\u4ece\u800c\u8ba1\u7b97\u51fa\u8f66\u8f86\u7684\u901f\u5ea6\u3002<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 <\/code><\/pre>\n<\/p>\n import numpy as np<\/p>\n cap = cv2.VideoCapture(0)<\/p>\n def calculate_speed(prev_position, current_position, time_interval):<\/p>\n distance = np.linalg.norm(np.array(current_position) - np.array(prev_position))<\/p>\n speed = distance \/ time_interval<\/p>\n return speed<\/p>\n prev_position = None<\/p>\n prev_time = None<\/p>\n while True:<\/p>\n ret, frame = cap.read()<\/p>\n if not ret:<\/p>\n break<\/p>\n # \u5047\u8bbe\u8f66\u8f86\u4f4d\u4e8e\u56fe\u50cf\u7684\u4e2d\u5fc3<\/p>\n current_position = (frame.shape[1] \/\/ 2, frame.shape[0] \/\/ 2)<\/p>\n current_time = cv2.getTickCount() \/ cv2.getTickFrequency()<\/p>\n if prev_position is not None and prev_time is not None:<\/p>\n speed = calculate_speed(prev_position, current_position, current_time - prev_time)<\/p>\n print('Speed: {} pixels\/second'.format(speed))<\/p>\n prev_position = current_position<\/p>\n prev_time = current_time<\/p>\n cv2.imshow('Frame', frame)<\/p>\n\u4e00\u3001\u5229\u7528OBD-II\u63a5\u53e3\u83b7\u53d6\u8f66\u8f86\u901f\u5ea6<\/h3>\n<\/p>\n
1. OBD-II\u63a5\u53e3\u7b80\u4ecb<\/h4>\n<\/p>\n
2. \u786c\u4ef6\u51c6\u5907<\/h4>\n<\/p>\n
\n
3. \u8f6f\u4ef6\u51c6\u5907<\/h4>\n<\/p>\n
pyOBD<\/code>\u6216python-OBD<\/code>\u5e93\u6765\u4e0eOBD-II\u63a5\u53e3\u8fdb\u884c\u901a\u4fe1\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528python-OBD<\/code>\u5e93\u7684\u793a\u4f8b\u3002<\/p>\n<\/p>\n3.1 \u5b89\u88c5
python-OBD<\/code>\u5e93<\/h5>\n<\/p>\npip install obd<\/p>\n3.2 \u8fde\u63a5OBD-II\u63a5\u53e3\u5e76\u8bfb\u53d6\u901f\u5ea6<\/h5>\n<\/p>\n
import obd<\/p>\n\u5efa\u7acbOBD\u8fde\u63a5<\/strong><\/h2>\n
\u521b\u5efa\u4e00\u4e2a\u67e5\u8be2\u547d\u4ee4<\/strong><\/h2>\n
\u53d1\u9001\u67e5\u8be2\u547d\u4ee4\u5e76\u83b7\u53d6\u54cd\u5e94<\/strong><\/h2>\n
\u8f93\u51fa\u901f\u5ea6\u503c<\/strong><\/h2>\n
\u4e8c\u3001\u4f7f\u7528GPS\u6a21\u5757\u83b7\u53d6\u8f66\u8f86\u901f\u5ea6<\/h3>\n<\/p>\n
1. GPS\u6a21\u5757\u7b80\u4ecb<\/h4>\n<\/p>\n
2. \u786c\u4ef6\u51c6\u5907<\/h4>\n<\/p>\n
\n
3. \u8f6f\u4ef6\u51c6\u5907<\/h4>\n<\/p>\n
gps3<\/code>\u5e93\u6765\u4e0eGPS\u6a21\u5757\u8fdb\u884c\u901a\u4fe1\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528gps3<\/code>\u5e93\u7684\u793a\u4f8b\u3002<\/p>\n<\/p>\n3.1 \u5b89\u88c5
gps3<\/code>\u5e93<\/h5>\n<\/p>\npip install gps3<\/p>\n3.2 \u8fde\u63a5GPS\u6a21\u5757\u5e76\u8bfb\u53d6\u901f\u5ea6<\/h5>\n<\/p>\n
from gps3 import gps3<\/p>\n\u521b\u5efaGPS\u8fde\u63a5<\/strong><\/h2>\n
\u8bfb\u53d6GPS\u6570\u636e<\/strong><\/h2>\n
\u4e09\u3001\u901a\u8fc7\u6444\u50cf\u5934\u4e0e\u56fe\u50cf\u5904\u7406\u6280\u672f\u83b7\u53d6\u8f66\u8f86\u901f\u5ea6<\/h3>\n<\/p>\n
1. \u56fe\u50cf\u5904\u7406\u7b80\u4ecb<\/h4>\n<\/p>\n
2. \u786c\u4ef6\u51c6\u5907<\/h4>\n<\/p>\n
\n
3. \u8f6f\u4ef6\u51c6\u5907<\/h4>\n<\/p>\n
OpenCV<\/code>\u5e93\u6765\u5904\u7406\u89c6\u9891\u5e76\u8ba1\u7b97\u901f\u5ea6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u3002<\/p>\n<\/p>\n3.1 \u5b89\u88c5
OpenCV<\/code>\u5e93<\/h5>\n<\/p>\npip install opencv-python<\/p>\n3.2 \u6355\u6349\u89c6\u9891\u5e76\u8ba1\u7b97\u901f\u5ea6<\/h5>\n<\/p>\n
import cv2<\/p>\n\u6253\u5f00\u6444\u50cf\u5934<\/strong><\/h2>\n
\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u8ba1\u7b97\u901f\u5ea6<\/strong><\/h2>\n
\u521d\u59cb\u5316\u53d8\u91cf<\/strong><\/h2>\n