Connecting The BMP085 In Arduino With Python Coding

Introduction

In this article, I will explain about connecting the BMP085 in Arduino and Python. In Arduino, it will be used to see the temperature measurement in the Serial monitor. But in Python, it will display in the run module.

Parts Of Lists

HardWareParts

Arduino Uno
BMP085
Hook up wires
Bread Board.

Software Required

Arduino IDE
Python 2.7.11

Connection

Connection From ArduinoUno To BMPO85 Sensor

Sensor	Board
Gnd	Gnd
Vin	5v
SDA	A3
SCL	A4

Progarmming

Program Of Arduino

#include "Wire.h" // imports the wire library for talking over I2C
#include "Adafruit_BMP085.h" // import the Pressure Sensor Library
Adafruit_BMP085 mySensor; // create sensor object called mySensor
float tempC; // Variable for holding temp in C
float tempF; // Variable for holding temp in F
float pressure; //Variable for holding pressure reading
void setup(){
Serial.begin(9600); //turn on serial monitor
mySensor.begin(); //initialize mySensor
}
void loop() {
tempC = mySensor.readTemperature(); // Read Temperature
tempF = tempC*1.8 + 32.; // Convert degrees C to F
pressure=mySensor.readPressure(); //Read Pressure
Serial.print("The Temp is: "); //Print Your results
Serial.print(tempF);
Serial.println(" degrees F");
Serial.print("The Pressure is: ");
Serial.print(pressure);
Serial.println(" Pa.");
Serial.println("");
delay(250); //Pause between readings.
}

Program Of Python

import serial # import Serial Library
import numpy # Import numpy
import matplotlib.pyplot as plt #import matplotlib library
from drawnow import *
tempF= []
pressure=[]
arduinoData = serial.Serial('com11', 115200) #Creating our serial object named arduinoData
plt.ion() #Tell matplotlib you want interactive mode to plot live data
cnt=0
def makeFig(): #Create a function that makes our desired plot
plt.ylim(80,90) #Set y min and max values
plt.title('My Live Streaming Sensor Data') #Plot the title
plt.grid(True) #Turn the grid on
plt.ylabel('Temp F') #Set ylabels
plt.plot(tempF, 'ro-', label='Degrees F') #plot the temperature
plt.legend(loc='upper left') #plot the legend
plt2=plt.twinx() #Create a second y axis
plt.ylim(93450,93525) #Set limits of second y axis- adjust to readings you are getting
plt2.plot(pressure, 'b^-', label='Pressure (Pa)') #plot pressure data
plt2.set_ylabel('Pressrue (Pa)') #label second y axis
plt2.ticklabel_format(useOffset=False) #Force matplotlib to NOT autoscale y axis
plt2.legend(loc='upper right') #plot the legend
while True: # While loop that loops forever
while (arduinoData.inWaiting()==0): #Wait here until there is data
pass #do nothing
arduinoString = arduinoData.readline() #read the line of text from the serial port
dataArray = arduinoString.split(',') #Split it into an array called dataArray
temp = float( dataArray[0]) #Convert first element to floating number and put in temp
P = float( dataArray[1]) #Convert second element to floating number and put in P
tempF.append(temp) #Build our tempF array by appending temp readings
pressure.append(P) #Building our pressure array by appending P readings
drawnow(makeFig) #Call drawnow to update our live graph
plt.pause(.000001) #Pause Briefly. Important to keep drawnow from crashing
cnt=cnt+1
if(cnt>50): #If you have 50 or more points, delete the first one from the array
tempF.pop(0) #This allows us to just see the last 50 data points
pressure.pop(0)

Explanation

In this article I will explain about how the BMP085 can be used to see the temperature level. In Arduino it will be displayed in the serial monitor but in Python I have used the matlab plot.

The matplot software is used to display the higher and lower levels of the temperature. Click the software below and download the software.

http:/pip.pypa.io/en/learning/installing.

In Python write the code and click the run module or f5 to see the output.

In Python the data and the code will be read from Arduino because we have given the Arduino port in Python.The matlab plot can plot the temperature in the current level.

Output

Figure 1 : Output

6 Comments

Join the conversation! Your thoughts help the community grow.

Hussain Patel9y ago
This is nice - I have done this using Raspberry Pi - hope to come up with article soon..
Vignesh Mani10y ago
Good one
Kumaresh Rajalingam10y ago
Nice share
- Sr Karthiga10y ago
  Thank you kumaresh sir
kalu singh rao10y ago
Nice...
- Sr Karthiga10y ago
  Thank you kalu sir