I participated in a cycling event two weeks ago. After finished, I wanted to check the route and the speed I rode at that time. Unfortunately, it was not achieved. Now I use ESP32 to make a GPS tracker, and I will take it to record my cycling route next time. The GPS tracker can save the location and time information to the SD card, and this information can be processed and draw a chart of distance and speed with the PC software.
Step 1: ConnectionConnect two boards according to the pins. The module can be powered by battery or Micro USB cable.
Python3:
- You can download it from here: Python3. Choose the 3.8.5 version, download and install it.
- “Add Python 3.8 to PATH” selection must be checked during the installation process, as Figure 1.
- If the library used by the program is not installed, the program will prompt when it is running. You can run the following command in cmd.exe to install libraries, as Figure 2.
pip install xxx // xxx is library name
pip uninstall xxx // xxx is library name
pip list // print installed libraries<br>Fihure 2
Code:
- You can get the python file from here: Code. The python file is “/Project_Gps-Trace-Analysis-master/Google_trace.py”.
- Draw a route on the map.
def create_html_map():
gmap = gmplot.GoogleMapPlotter(lat_list[0], lon_list[0], 16)
gmap.plot(lat_list, lon_list)
gmap.marker(lat_list[0], lon_list[0], color='blue')
gmap.marker(lat_list[width - 1], lon_list[width - 1], color='red')
gmap.draw("./map-trace.html")<br>- Draw graphs of speed vs. time, distance vs. time.
plt.subplot(2, 1, 1)
plt.plot(time_list[0:-1], speed)
plt.title("Average Speed:" + str(avg_speed))
# plt.xlabel("Time")
plt.ylabel("Speed(m/s)")
plt.subplot(2, 1, 2)
plt.plot(time_list[0:-1], total_distance)
plt.title("Total Distance:" + str(round(total_distance[- 1],2)))
plt.xlabel("Time")
plt.ylabel("Distance(m)")
plt.draw()
plt.pause(0)
passuPyCraft_v1.1
- You can download it from here: uPyCraft.
- Connect the board to the PC by USB cable. Open uPyCraft_v1.1, select the tools:” Tool > board > esp8266” and “Tools > port > com*”, click the connected button on right.
- If the connection is not successful, the prompt will be shown as “open the serial error, please try again”. You have to update the firmware to promise connections successfully. The firmware download link is LINK. Open “Tools>BurnFirmware”, set the parameter, as Figure 3, and click OK.
Figure 3
- Open the Python file, and click the “DownloadAndRun” button on right. The program has been downloaded to the board, you can see it in the “device” menu on the left, as Figure 4.
Figure 4
Firmware and Download
You can get the firmware from here: Firmware.
- Set the connection with the SD card module in the file: “/Project_Gps-Trace-Analysis-master/workspace/test.py”.
# SD init
spi = SPI(1, baudrate=400000, polarity=1, phase=0, sck=Pin(14), mosi=Pin(13), miso=Pin(12))
spi.init() # Ensure right baudrate
lcd.text('SPI OK', 0, 8)
sd = sdcard.SDCard(spi, Pin(32)) # Compatible with PCB
vfs = os.VfsFat(sd)
os.mount(vfs, "/SD")
random.seed(len(os.listdir("/SD")))
print("SD OK")
lcd.text('SPI OK', 0, 16)- Set the connection with the A9G module in the file: “/Project_Gps-Trace-Analysis-master/workspace/test.py”.
# A9G open
A9G_RESET_PIN = Pin(33, Pin.OUT)
A9G_RESET_PIN.value(0) # set pin to low
time.sleep(1)
A9G_PWR_KEY = Pin(27, Pin.OUT)
A9G_PWR_KEY.value(0)
time.sleep(1)
A9G_PWR_KEY.value(1)
time.sleep(1)
lcd.fill(0)
lcd.text('A9G open', 0, 0)- AT command for the A9G module.
AT+GPS=1 # 1: Turn the GPS on, 0: Turn the GPS off
AT+LOCATION=2 #Get the address information of GPS, as long as the GPS can see the satellite before returning, otherwise it will return GPS NOT FIX NOW
AT+GPSRD=0 #Stop reporting- Connect the board to the PC by USB cable, and use uPyCraft to download all files in folder “/Project_Gps-Trace-Analysis-master/workspace”.
- Copy the TXT file beginning with "trace" in the SD card into the folder “/Project_Gps-Trace-Analysis-master”.
- Open the Python file with the notepad and change the code.
#File which you want analysis
trace_file_name = "./trace4.txt"- Use the command line to run the Python file, you will get the figure of speed and distance, as Figure 5.
Figure 5
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