ICode9

精准搜索请尝试: 精确搜索
首页 > 编程语言> 文章详细

[转]经典-python串口读取gps可视化 - MKT-porter - 博客园

2022-08-24 18:30:11  阅读:276  来源: 互联网

标签:python 博客园 List locations GPRMC 串口 print GPS gps


(转载请删除括号里的内容)

 

 GPS模块设置

1使用ucenter设置gps输出

默认gps  9600  或者115200

 

 选择串口链接

 

 

2 设置波特率

 

 

 

 send之后重新连接gps模块,波特率修改成115200,send只是当前有效,断电恢复原来的.

 

 

3 修改GPS输出频率

 

 

 断电生效,保存在gps的内存里

 

 

 

 

4修改gps输出帧

 

 默认输出很多帧

有关于卫星信号质量的帧

有定位信息帧

有速度帧

其中包含gps的最全的是,但是没有关于卫星是否有效的信息

黑色的是正在输出,灰色的是没有输出

 

 

 

设置某些帧输出信息

 

 

 

 

 断电参数保存

 

2,$GPGGA语句

(Global Positioning System Fix Data-GGA,GPS定位信息, 输出1次/1秒)     GPS定位主要数据,该语句中包括经纬度、质量因子、HDOP、高程、基准站号等字段。下表详细说明GPGGA语句中的各个字段: $GPGGA,<1>,<2>,<3>,<4>,<5>,<6>,<7>,<8>,<9>,<10>,,<12>,,<14> 字段 $GPGGA语句意义——取值范围 <1> UTC时间:hhmmss.ss——000000.00~235959.99 <2> 纬度,格式:ddmm.mmmm ——0000.00000~8959.9999 (标准的度分格式) <3> 南北半球——N北纬;S南纬 <4> 经度格式:dddmm.mmmm ——00000.0000~17959.9999 (标准的度分格式) <5> 东西半球——E表示东经;W表示西经 <6> 质量因子——0=未定位,1=GPS单点定位固定解,2=差分定位,3=PPS解;4=RTK固定解;5=RTK浮点解;6=估计值;7=手工输入模式;8=模拟模式; <7> 应用解算位置的卫星数——00~12 <8> HDOP,水平图形强度因子——0.500~99.000 ;大于6不可用 <9> 天线高程(海平面)——-9999.9~99999.9 <10> 线线高程单位(m) ——m 大地水准面起伏——地球椭球面相对大地水准面的高度 <12> 大地水准面起伏单位(m)   ——m <13> 差分GPS数据期——差分时间(从最近一次接收到差分信号开始的秒数,如果不是差分定位将为空),不使用DGPS时为空 <14> 基准站号——0000~1023;不使用DGPS时为空 $GPGGA,074529.82,2429.6717,N,11804.6973,E,1,8,1.098,42.110,M,,M,,*76

 针对GXGGA的解析

 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 # -*- coding: utf-8 -*       #  117.410465,31.768830      # 使用前先使用u-center设置GPS输出,去掉多余的输出 import os import time import serial import serial.tools.list_ports     os.system('cls') serial_portlist = list(serial.tools.list_ports.comports()) if len(serial_portlist) <= 0 :     print('未发现可用串口') else :     for i in range (len(serial_portlist)):         print(serial_portlist[i])     #port_gps = '/dev/ttyUSB'+input('请输入GPS模块所在串口:')     port_gps = 'COM'+input('请输入GPS模块所在串口:')           ser = serial.Serial(port_gps,115200,timeout = 2)         #----------------------------------------------         os.system('cls')     init = 3     while True :         if ser.in_waiting > 0 :             '''             time.sleep(0.6)#请在0.4-0.8范围内调试修改             #过低数据不完整,过高数据被覆盖!             os.system('cls')             GETBYTES = ser.read(ser.in_waiting)                 if init :#跳过前三次数据                 print('稳定串口接收中 %d'%init)                 init = init - 1                 continue                 GETSTR = GETBYTES.decode()             print('原始数据:')             print(GETSTR) #检查接收情况                 #-------------------------------------                           GETSTR_List = GETSTR.split('\n')             #print('共接收 %d 行数据'%len(GETSTR_List)) #检查换行分割情况  8             '''               line = str(ser.readline().decode("utf-8"))                           GETSTR_List=[]                             GETSTR_List.append(line)                           GPRMC_List = GETSTR_List[0].split(',')             #print('$GPRMC 有 %d 个字段'%len(GPRMC_List)) #检查','分割情况   13               print(len(GPRMC_List))                 if len(GPRMC_List)!=15:                 print('数据不完整')                 continue#检查数据完整度             #------------------------------------------------             print('')             if GPRMC_List[6] == '0' :#0=Invalid, 1=2D/3D, 2=DGNSS, 4=Fixed RTK, 5=Float RTK, 6=Dead Reckoning                   print('当前卫星定位无效')                                 elif GPRMC_List[6] == '2' :                 print('定位正常')                 print(GETSTR_List[0])                 print('')                     #--------------------------------------------                                     UTC = GPRMC_List[1][0:2] + ':' + GPRMC_List[1][2:4] + ':' + GPRMC_List[1][4:6]                 #UTC = UTC +' '+ GPRMC_List[9][0:2] + '/' + GPRMC_List[9][2:4] + '/20' + GPRMC_List[9][4:6]                 print('卫星UTC时间:'+UTC)                                     #---------------------------------------------                     weidu_xy = int(GPRMC_List[2][0:2])+float(GPRMC_List[2][2:11])/60                 jingdu_xy = int(GPRMC_List[4][0:3])+float(GPRMC_List[4][3:12])/60                   high = float(GPRMC_List[9]) #米                 print("高度:",high)                 #---------------------------------------------                     weidu_du = int(GPRMC_List[2][0:2])                 weidu_fen = int(GPRMC_List[2][2:4])                 weidu_miao = float('0'+GPRMC_List[2][4:11])*60                 weidu = '%d°%d\'%.3f\"'%(weidu_du,weidu_fen,weidu_miao)                 print('')                 print('纬度:')                 print('%.6f'%weidu_xy)                 print(weidu)                 #----------------------------------------------                     jingdu_du = int(GPRMC_List[4][0:3])                 jingdu_fen = int(GPRMC_List[4][3:5])                 jingdu_miao = float('0'+GPRMC_List[4][5:12])*60                 jingdu = '%d°%d\'%.3f\"'%(jingdu_du,jingdu_fen,jingdu_miao)                 print('')                 print('经度:')                 print('%.6f'%jingdu_xy)                 print(jingdu)                 print('')                 else :                 print('数据有误,等待刷新')

  

 

 

 

另外一个GxRMC帧包含了

 

 

1,$GPRMC语句

(Recommended Minimum Specific GPS/TRANSIT Data-RMC,推荐定位信息1次/1秒)     对于一般的GPS动态定位应用,GPRMC语句完全满足要求。该语句中包括经纬度、速度、时间和磁偏角等字段,这些数据为导航定位应用提供了充分的信息。下表详细说明GPRMC语句中的各个字段: $GPRMC,<1>,<2>,<3>,<4>,<5>,<6>,<7>,<8>,<9>,<10>,,<12> 字段 $GPRMC语句意义——取值范围 <1> UTC时间:hhmmss.ss——000000.00~235959.99 <2> 状态,有效性 ——A表示有效;V表示无效 <3> 纬度格式:ddmm.mmmm——0000.00000~8959.9999 (标准的度分格式) <4> 南北半球——N北纬;S南纬 <5> 经度格式:dddmm.mmmm——00000.0000~17959.9999 (标准的度分格式) <6> 东西半球——E表示东经;W表示西经 <7> 地面速度——000.00~999.999 <8> 速度方向——000.00~359.99 <9> 日期格式,月日年——010100~123199 <10> 磁偏角,单位:度——00.00~99.99 磁偏角方向——E表示东;W表示西 <12> 模式指示及校验和—— A=自主定位,D=差分,E=估算,N=数据无效 例如:$GPRMC,074529.82,A,2429.6717,N,11804.6973,E,12.623,32.122,010806,,W,A*08

针对帧h解析 代码

 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 # -*- coding: utf-8 -*       #  117.410465,31.768830      # 使用前先使用u-center设置GPS输出,去掉多余的输出 # GxGAA 有海拔高度 # GX     import os import time import serial import serial.tools.list_ports     os.system('cls') serial_portlist = list(serial.tools.list_ports.comports()) if len(serial_portlist) <= 0 :     print('未发现可用串口') else :     for i in range (len(serial_portlist)):         print(serial_portlist[i])     #port_gps = '/dev/ttyUSB'+input('请输入GPS模块所在串口:')     port_gps = 'COM'+input('请输入GPS模块所在串口:')           ser = serial.Serial(port_gps,115200,timeout = 2)         #----------------------------------------------         os.system('cls')     init = 3     while True :         if ser.in_waiting > 0 :             '''             time.sleep(0.6)#请在0.4-0.8范围内调试修改             #过低数据不完整,过高数据被覆盖!             os.system('cls')             GETBYTES = ser.read(ser.in_waiting)                 if init :#跳过前三次数据                 print('稳定串口接收中 %d'%init)                 init = init - 1                 continue                 GETSTR = GETBYTES.decode()             print('原始数据:')             print(GETSTR) #检查接收情况                 #-------------------------------------                           GETSTR_List = GETSTR.split('\n')             #print('共接收 %d 行数据'%len(GETSTR_List)) #检查换行分割情况  8             '''               line = str(ser.readline().decode("utf-8"))                           GETSTR_List=[]                             GETSTR_List.append(line)                           GPRMC_List = GETSTR_List[0].split(',')             #print('$GPRMC 有 %d 个字段'%len(GPRMC_List)) #检查','分割情况   13                 if len(GPRMC_List)!=13:                 print('数据不完整')                 continue#检查数据完整度             #------------------------------------------------             print('')             if GPRMC_List[2] == 'V' :                 print('当前卫星定位无效')                                 elif GPRMC_List[2] == 'A' :                 print('定位正常')                 print(GETSTR_List[0])                 print('')                     #--------------------------------------------                                     UTC = GPRMC_List[1][0:2] + ':' + GPRMC_List[1][2:4] + ':' + GPRMC_List[1][4:6]                 UTC = UTC +' '+ GPRMC_List[9][0:2] + '/' + GPRMC_List[9][2:4] + '/20' + GPRMC_List[9][4:6]                 print('卫星UTC时间:'+UTC)                                     #---------------------------------------------                     weidu_xy = int(GPRMC_List[3][0:2])+float(GPRMC_List[3][2:11])/60                 jingdu_xy = int(GPRMC_List[5][0:3])+float(GPRMC_List[5][3:12])/60                                     #---------------------------------------------                     weidu_du = int(GPRMC_List[3][0:2])                 weidu_fen = int(GPRMC_List[3][2:4])                 weidu_miao = float('0'+GPRMC_List[3][4:11])*60                 weidu = '%d°%d\'%.3f\"'%(weidu_du,weidu_fen,weidu_miao)                 print('')                 print('纬度:')                 print('%.6f'%weidu_xy)                 print(weidu)                 #----------------------------------------------                     jingdu_du = int(GPRMC_List[5][0:3])                 jingdu_fen = int(GPRMC_List[5][3:5])                 jingdu_miao = float('0'+GPRMC_List[5][5:12])*60                 jingdu = '%d°%d\'%.3f\"'%(jingdu_du,jingdu_fen,jingdu_miao)                 print('')                 print('经度:')                 print('%.6f'%jingdu_xy)                 print(jingdu)                 print('')                 else :                 print('数据有误,等待刷新')

  

 

GPS解析库

根据协议内容,我们可以自己编写Python脚本对GPS数据进行解析。但是,实际上Python已经有现成的库可以调用——pymea2

推荐下载方式:

pip install pynmea2

下载完成后即可导入包,并通过pynmea2.parse()方法对GPS数据进行解析,示例如下:

import pynmea2text = "$GNRMC,074733.00,A,2241.28818,N,11358.44210,E,3.866,,070720,,,A*60"msg = pynmea2.parse(text)

原始GPS信号的经纬度采用的是60进制的格式,通过msg.latmsg.lon就能分别显示维度和经度信息:

   

 

而地图常用的格式应该是10进制的,通过msg.latitudemsg.longitude就能分别显示10进制的维度和经度信息:

   

GPS数据可视化

1 谷歌地球

直接搜索  31.777275,117.367401

 

 

 

3使用folium绘制经纬度轨迹图

 

folium

读取txt解析地址,可视化显示

 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 #!/usr/bin/python # -*- coding: UTF-8 -*- #使用教程 # 1安装库 # 2修改txt名字    ##pip3 install folium import folium  #可视化工具 import os   def draw_gps(locations, output_path, file_name):     """     绘制gps轨迹图     :param locations: list, 需要绘制轨迹的经纬度信息,格式为[[lat1, lon1], [lat2, lon2], ...]     :param output_path: str, 轨迹图保存路径     :param file_name: str, 轨迹图保存文件名     :return: None     """     m = folium.Map(locations[0], zoom_start=15, attr='default'#中心区域的确定       folium.PolyLine(    # polyline方法为将坐标用线段形式连接起来         locations,    # 将坐标点连接起来         weight=3# 线的大小为3         color='orange'# 线的颜色为橙色         opacity=0.8    # 线的透明度     ).add_to(m)    # 将这条线添加到刚才的区域m内           # 起始点,结束点     folium.Marker(locations[0], popup='<b>Starting Point</b>').add_to(m)     folium.Marker(locations[-1], popup='<b>End Point</b>').add_to(m)      # len(locations)            '''     for i in locations:         #folium.Marker(         #i, popup="<i>Click show a test</i>", tooltip="Click me!",icon=folium.Icon(color="red", icon="info-sign")         ).add_to(m)    '''           m.save(os.path.join(output_path, file_name))  # 将结果以HTML形式保存到指定路径           ''' 从txt读取gps数据解析出经纬高 输入 gps_txt 文件路径和名字 输出 locations  gps数组  格式为[[lat1, lon1], [lat2, lon2], ...]   '''   def read_txtgps(gps_txt):     locations=[]     #gps_txt="save/video/VideoLEFT_Tue_Aug_24_19_01_46_2021.txt"     with open(gps_txt, "r") as f:         for line in f.readlines():             line = line.strip('\n'#去掉列表中每一个元素的换行符             #print(line)             strlist = line.split(',')             #print(strlist[2],strlist[3])             if strlist[1]=="-1" or strlist[1]=="0":                 pass             else:                 locations.append([float(strlist[2]),float(strlist[3])])     return locations     #开始调用   print("读取txt数据") name="VideoLEFT_Wed_Aug_25_17_32_19_2021" gps_txt=name+".txt" map_html=name+".html" locations=read_txtgps(gps_txt)   print("地图生成中请等待") draw_gps(locations,"",map_html) print(map_html,"地图网页生生结束,请用网页打开查看")

  

 

 

通过上面的解析方法,我们已经获取了传感器的维度和经度信息,接下来就能够在地图上进行可视化展示,这里我采用的是Python的folium库。

假设我们最终获取到的一批经纬度数据如下:

 
1 locations = [[22.674574, 113.993353], [22.674544, 113.993362], [22.674521, 113.993376], [22.67447, 113.99342], [22.674471, 113.993428], [22.674485, 113.993434], [22.674487, 113.993437], [22.674471, 113.993416], [22.674452, 113.993416], [22.674449, 113.993412], [22.674443, 113.993389], [22.674444, 113.993382], [22.67445, 113.993363], [22.67444, 113.993358], [22.67444, 113.993351], [22.67444, 113.993338], [22.674441, 113.993331], [22.674485, 113.993265], [22.674452, 113.993305], [22.674511, 113.99323], [22.674504, 113.993236], [22.674484, 113.99326], [22.674419, 113.993359], [22.67441, 113.993369], [22.674403, 113.993381], [22.674406, 113.993385], [22.674406, 113.993395], [22.674404, 113.993397], [22.674403, 113.9934], [22.674402, 113.993411], [22.6744, 113.993414], [22.674398, 113.993417], [22.674308, 113.993457], [22.674269, 113.99347], [22.67423, 113.99349], [22.674191, 113.993506], [22.674151, 113.993532], [22.674045, 113.993583], [22.673965, 113.993597], [22.673879, 113.993607], [22.673724, 113.993639], [22.673321, 113.993752], [22.673212, 113.993784], [22.673101, 113.993825], [22.672887, 113.993894], [22.672785, 113.993937], [22.672684, 113.993977], [22.672476, 113.994081], [22.672063, 113.994352], [22.671971, 113.994427], [22.671873, 113.994503], [22.67178, 113.994583], [22.671449, 113.994935], [22.671373, 113.995017], [22.671315, 113.995096], [22.671252, 113.995173], [22.671199, 113.995219], [22.671165, 113.99525], [22.671108, 113.995304], [22.671128, 113.995301], [22.671125, 113.995312], [22.671131, 113.995302], [22.671133, 113.995301], [22.671136, 113.99531], [22.671135, 113.995313], [22.671131, 113.995316], [22.671077, 113.995376], [22.671059, 113.995395], [22.671039, 113.995415], [22.670993, 113.995452], [22.670868, 113.995574], [22.670666, 113.995825], [22.67061, 113.995877], [22.670563, 113.995943], [22.670503, 113.996008], [22.670448, 113.996076], [22.670393, 113.996143], [22.670233, 113.996335], [22.670022, 113.996558], [22.669967, 113.996622], [22.669913, 113.996683], [22.669862, 113.996741], [22.669812, 113.996795], [22.669768, 113.996847], [22.669734, 113.996899], [22.669687, 113.996965], [22.669639, 113.997026], [22.669441, 113.997291], [22.669385, 113.997353], [22.669331, 113.997423], [22.669274, 113.997491], [22.669216, 113.997564], [22.66915, 113.997639], [22.668873, 113.997982], [22.668809, 113.998056], [22.668754, 113.998126], [22.668686, 113.998199], [22.668632, 113.998269], [22.668578, 113.998336], [22.66852, 113.998408], [22.668462, 113.998486], [22.668212, 113.998776], [22.668152, 113.998849], [22.668082, 113.998925], [22.667963, 113.999024], [22.667923000000002, 113.999077], [22.667784, 113.999228], [22.667669, 113.999349], [22.667521, 113.999529], [22.667482, 113.999574], [22.667442, 113.999625], [22.667401, 113.999676], [22.667358, 113.999724], [22.667321, 113.999774], [22.667283, 113.99982], [22.667246, 113.999863], [22.667209, 113.999906], [22.667169, 113.999947], [22.667128, 113.999992], [22.667085, 114.000046], [22.667043, 114.000096], [22.667, 114.000147], [22.666961, 114.000199], [22.66692, 114.000247], [22.66688, 114.000286], [22.666841, 114.000334], [22.666797, 114.000384], [22.66673, 114.000437], [22.666673, 114.000496], [22.666607, 114.000549], [22.666545, 114.000612], [22.666287, 114.000833], [22.66621, 114.000882], [22.666138, 114.000926], [22.66606, 114.00099], [22.665972, 114.001058], [22.665891, 114.001114], [22.665809, 114.001158], [22.665725, 114.001216], [22.665635, 114.001275], [22.665255, 114.001479], [22.665149, 114.001524], [22.66504, 114.001577], [22.664923, 114.001628], [22.664575, 114.001775], [22.664114, 114.001933], [22.664001, 114.001966], [22.663888, 114.00199], [22.663774, 114.002035], [22.663655, 114.002067], [22.66353, 114.002101], [22.663402, 114.002132], [22.663275, 114.002169], [22.663148, 114.002203], [22.66266, 114.002342], [22.662544, 114.002373], [22.662429, 114.0024], [22.662106, 114.002517], [22.662032, 114.00255], [22.661957, 114.002583], [22.661886, 114.002604], [22.661814, 114.002636], [22.661663, 114.0027], [22.661583, 114.00274], [22.661315, 114.002878], [22.661247, 114.002907], [22.661185, 114.002932], [22.66113, 114.00296], [22.660899, 114.003051], [22.660847, 114.003065], [22.660659, 114.003121], [22.660608, 114.003139], [22.66058, 114.003162], [22.660565, 114.003191], [22.660538, 114.003213], [22.660508, 114.003231], [22.660495, 114.003259], [22.660458, 114.003296], [22.660429, 114.003397], [22.660408, 114.003464], [22.660378, 114.00354], [22.660363, 114.003564], [22.660314, 114.003608], [22.6602, 114.003818], [22.660175, 114.003876], [22.660049, 114.004195], [22.660021, 114.004256], [22.66, 114.004318], [22.659912, 114.004546], [22.659893, 114.004602], [22.659884, 114.004656], [22.659863, 114.004709], [22.65984, 114.004772], [22.659823, 114.004833], [22.659774, 114.004916], [22.659742, 114.004953], [22.659702, 114.004991], [22.659526, 114.00511], [22.659313, 114.005117], [22.659275, 114.005128], [22.659236, 114.005143], [22.659204, 114.005154], [22.659177, 114.005174], [22.659, 114.005249], [22.658954, 114.005246], [22.65891, 114.005242], [22.658881, 114.005232], [22.658862, 114.005226], [22.658822, 114.005206], [22.658791, 114.005192], [22.658759, 114.005171], [22.658612, 114.005036], [22.658563, 114.005019], [22.658514, 114.005001], [22.65846, 114.004978], [22.65841, 114.004958], [22.658359, 114.004939], [22.658102, 114.0049], [22.658043, 114.004901], [22.6577, 114.00493], [22.657606, 114.004941], [22.657507, 114.004945], [22.657422, 114.004959], [22.657338, 114.00497], [22.657009, 114.005009], [22.656778, 114.005121], [22.656726, 114.005149], [22.656679, 114.005174], [22.656635, 114.005197], [22.656598, 114.005217], [22.656512, 114.00526], [22.656477, 114.005279], [22.656426, 114.005314], [22.656315, 114.005396], [22.656256, 114.00544], [22.656188, 114.00549], [22.65605, 114.005583], [22.655815, 114.005766], [22.655529, 114.005985], [22.655465, 114.006031], [22.655409, 114.006071], [22.655205, 114.00624], [22.65511, 114.006312], [22.655066, 114.006345], [22.654989, 114.006407], [22.65491, 114.006467], [22.654868, 114.006496], [22.654832, 114.006524], [22.654792, 114.006552], [22.654674, 114.006626], [22.654656, 114.006641], [22.654631, 114.006665], [22.654624, 114.006669], [22.654613, 114.006677], [22.654597, 114.006687], [22.65459, 114.006694], [22.654584, 114.006698], [22.654579, 114.006702], [22.654573, 114.006706], [22.654555, 114.006716], [22.654554, 114.006715], [22.654555, 114.006715], [22.654555, 114.006715], [22.654555, 114.006717], [22.654555, 114.006719], [22.654539, 114.00674], [22.654529, 114.006756], [22.654509, 114.00678], [22.654481, 114.006809], [22.654417, 114.006871], [22.654407, 114.006882], [22.654394, 114.006892], [22.654363, 114.006916], [22.65432, 114.006949], [22.654302, 114.006962], [22.654289, 114.006973], [22.654275, 114.006982], [22.654257, 114.006994], [22.65424, 114.007007], [22.654223, 114.007018], [22.654195, 114.007035], [22.654146, 114.007078], [22.65413, 114.007096], [22.654124, 114.007102], [22.654116, 114.00711], [22.654035, 114.00718], [22.653994, 114.007212], [22.653942, 114.007248], [22.653891, 114.007284], [22.653837, 114.007319], [22.653782, 114.00736], [22.653725, 114.007406], [22.653665, 114.007455], [22.653604, 114.007507], [22.653537, 114.007559], [22.653237, 114.007795], [22.653162000000002, 114.007853], [22.652859, 114.008086], [22.65279, 114.008141], [22.652722, 114.008193], [22.652486, 114.008392], [22.652425, 114.008436], [22.652364, 114.008478], [22.652141, 114.008652], [22.651907, 114.008831], [22.651843, 114.008877], [22.651779, 114.008923], [22.651713, 114.008971], [22.651653, 114.009008], [22.651391, 114.009213], [22.651153, 114.009397], [22.651097, 114.00944], [22.651041, 114.009481], [22.650994, 114.009514], [22.650954, 114.009544], [22.650919000000002, 114.009572], [22.650851, 114.009628], [22.650815, 114.009661], [22.65078, 114.00969], [22.650748, 114.009719], [22.650626, 114.009822], [22.65059, 114.009849], [22.65056, 114.009878], [22.65052, 114.009909], [22.6504, 114.010005], [22.650277, 114.010077], [22.650266, 114.01009], [22.65026, 114.010104], [22.65026, 114.010105], [22.650258, 114.010107], [22.650254, 114.01011], [22.650244, 114.010115], [22.65025, 114.010123], [22.65025, 114.010126], [22.650253, 114.010131], [22.650257, 114.010133], [22.650256, 114.010134], [22.650252000000002, 114.010136], [22.65025, 114.010136], [22.650243, 114.010136], [22.650249, 114.010139], [22.650238, 114.010139], [22.650215, 114.010136], [22.650215, 114.010139], [22.650212, 114.010143], [22.650206, 114.010148], [22.650205, 114.010155], [22.6502, 114.010159], [22.650197, 114.010161], [22.650194, 114.010163], [22.650187, 114.010171], [22.650187, 114.010172], [22.650187, 114.010174], [22.650187, 114.010176], [22.650187, 114.010178], [22.650186, 114.010178], [22.650176, 114.010181], [22.65017, 114.010186], [22.650168999999998, 114.010187], [22.65017, 114.010188], [22.65017, 114.010189], [22.650174, 114.01019], [22.650174, 114.01019], [22.650175, 114.010185], [22.650177, 114.010184], [22.65018, 114.010183], [22.650181, 114.010184], [22.650179, 114.010183], [22.650175, 114.010181], [22.650164, 114.010177], [22.650164, 114.010168], [22.65016, 114.010171], [22.650156, 114.010171], [22.650077, 114.010223], [22.65005, 114.010245], [22.650019, 114.010266], [22.64999, 114.01029], [22.64996, 114.010309], [22.649917, 114.010341], [22.649892, 114.010353], [22.649874, 114.010367], [22.649844, 114.01039], [22.649637, 114.010561], [22.649569, 114.010614], [22.649493, 114.010679], [22.649349, 114.010807], [22.64928, 114.010869], [22.649211, 114.010927], [22.649142, 114.010986], [22.649075, 114.011046], [22.64888, 114.01122], [22.648835, 114.011255], [22.648791, 114.01129], [22.648697, 114.011371], [22.648469, 114.011552], [22.64841, 114.011602], [22.648349, 114.011651], [22.648288, 114.011697], [22.648226, 114.011744], [22.648162, 114.01179], [22.647882, 114.012002], [22.647812000000002, 114.012056], [22.647737, 114.012115], [22.647455, 114.01231], [22.647386, 114.01235], [22.647316, 114.01239], [22.647259, 114.01242], [22.647165, 114.012422], [22.647145, 114.012414], [22.647127, 114.012402], [22.647107, 114.012387], [22.647089, 114.012372], [22.647061, 114.012348], [22.647032, 114.012301], [22.646994, 114.012256], [22.646963, 114.012211], [22.646934, 114.012167], [22.6469, 114.012126], [22.646858, 114.012074], [22.646829, 114.012025], [22.646798, 114.011976], [22.646676, 114.011792], [22.646641, 114.011738], [22.646593, 114.011682], [22.646548, 114.011619], [22.646392, 114.011391], [22.646359, 114.011348], [22.646242, 114.011275], [22.64621, 114.011284], [22.646176, 114.011308], [22.646057, 114.011403], [22.646036, 114.011422], [22.646023, 114.011419], [22.645966, 114.011418], [22.645968, 114.01141], [22.645971, 114.011398], [22.645968, 114.011385], [22.645959, 114.011384], [22.645965, 114.011382], [22.645963, 114.011381], [22.645963, 114.011377], [22.645955, 114.011391], [22.64595, 114.011385], [22.645947, 114.011383], [22.64595, 114.011378], [22.645932, 114.011349], [22.645955999999998, 114.011367], [22.645954, 114.011364], [22.64595, 114.011361], [22.645944, 114.011363], [22.645945, 114.011366], [22.645925, 114.011378], [22.645917, 114.011377], [22.645914, 114.01137], [22.645915, 114.011394], [22.645914, 114.011395], [22.645919, 114.011399], [22.645902, 114.011416], [22.645927, 114.01145], [22.645934, 114.01145], [22.645931, 114.011415], [22.645931, 114.011423], [22.64594, 114.011465], [22.645958, 114.011438], [22.64597, 114.011438], [22.645948, 114.011414], [22.645972, 114.011407], [22.645969, 114.011389], [22.645957, 114.011383], [22.645966, 114.011391], [22.646028, 114.011349], [22.646038, 114.011348], [22.646038, 114.011346], [22.646144, 114.011338], [22.646165, 114.011331], [22.646185, 114.011323], [22.646296, 114.011279], [22.646366, 114.011254], [22.646385, 114.011245], [22.646409, 114.011188], [22.64643, 114.011175], [22.645819, 114.011172], [22.645744, 114.011106], [22.645695, 114.011069], [22.64569, 114.011058], [22.64581, 114.011152], [22.645709, 114.011067], [22.645675, 114.011042], [22.645633, 114.011031], [22.645633, 114.011066], [22.645639, 114.011083], [22.645645000000002, 114.01109], [22.64563, 114.011079], [22.645635, 114.011107], [22.645651, 114.011131], [22.645679, 114.011169], [22.645688, 114.011188], [22.645694, 114.011194], [22.645697, 114.011206], [22.6457, 114.011215], [22.645707, 114.011226], [22.645692, 114.011203], [22.645708, 114.011211], [22.645718, 114.011244], [22.645722, 114.011281]]

  

注意:顺序为[纬度,经度]。

编写Python函数绘制GPS轨迹图:

 

 
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 def draw_gps(locations, output_path, file_name):     """     绘制gps轨迹图     :param locations: list, 需要绘制轨迹的经纬度信息,格式为[[lat1, lon1], [lat2, lon2], ...]     :param output_path: str, 轨迹图保存路径     :param file_name: str, 轨迹图保存文件名     :return: None     """     m = folium.Map(locations[0], zoom_start=15, attr='default'#中心区域的确定       folium.PolyLine(    # polyline方法为将坐标用线段形式连接起来         locations,    # 将坐标点连接起来         weight=3# 线的大小为3         color='orange'# 线的颜色为橙色         opacity=0.8    # 线的透明度     ).add_to(m)    # 将这条线添加到刚才的区域m内           # 起始点,结束点     folium.Marker(locations[0], popup='<b>Starting Point</b>').add_to(m)     folium.Marker(locations[-1], popup='<b>End Point</b>').add_to(m)           m.save(os.path.join(output_path, file_name))  # 将结果以HTML形式保存到指定路径    

  

GPS轨迹图结果:

 

 

 

解决folium国内访问太慢的问题

如果我们直接用浏览器打开生成的HTML文件,有可能会发现网络访问非常缓慢,需要加载大概1分钟才能看到地图显现。
我们打开用folium生成的HTML文件就可以看到:

   

 

由于生成的HTML文件调用的很多资源都是访问的国外资源,所以在国内打开可能会比较慢。这时候我们可以考虑把这些静态资源下载到本地,然后采用Python读取HTML,修改静态资源路径的方式,把HTML中的cssjs路径修改成本地路径,这样就能够极大程度的提高速度。
示例如下:

   
可以看到示例中有一行我没有进行修改,这是因为我在前面绘制地图的时候增加了起始点的绘制,如果把这个css路径改了就会导致无法正常显示起始点(没有下载起始点图标),再加上这个css网络访问起来并不慢,所以我没有进行替换。

 

<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>

修改了静态资源访问路径的HTML,再次打开的速度应该是非常快的,如果地图加载依然比较慢,那就是地图瓦片的网络问题了,而非静态资源的问题。




3 censium

https://www.cnblogs.com/gooutlook/p/13891300.html

 

4 高德可视化

GPS在国内的数据都加了密,直接显示并不是原始的地方,需要地图纠偏.

https://lbs.amap.com/demo/javascript-api/example/other-gaode/othertoamap-more

 


---------------------
作者:MKT-porter
来源:CNBLOGS
原文:https://www.cnblogs.com/gooutlook/p/15177300.html
版权声明:本文为作者原创文章,转载请附上博文链接!
内容解析By:CSDN,CNBLOG博客文章一键转载插件

标签:python,博客园,List,locations,GPRMC,串口,print,GPS,gps
来源: https://www.cnblogs.com/sdufe/p/16621182.html

本站声明: 1. iCode9 技术分享网(下文简称本站)提供的所有内容,仅供技术学习、探讨和分享;
2. 关于本站的所有留言、评论、转载及引用,纯属内容发起人的个人观点,与本站观点和立场无关;
3. 关于本站的所有言论和文字,纯属内容发起人的个人观点,与本站观点和立场无关;
4. 本站文章均是网友提供,不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属;如您发现该文章侵犯了您的权益,可联系我们第一时间进行删除;
5. 本站为非盈利性的个人网站,所有内容不会用来进行牟利,也不会利用任何形式的广告来间接获益,纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。

专注分享技术,共同学习,共同进步。侵权联系[81616952@qq.com]

Copyright (C)ICode9.com, All Rights Reserved.

ICode9版权所有