PROJECT OUTPUT
LM-35 TEMPERATURE SENSOR PIN CONFIGURATION
STEP 2: SETTING UP BOLT CLOUD ACCOUNT
STEP 3: PREDICTING TEMPERATURE PROGRAM IN BOLT CLOUD
STEP 5: PYTHON PROGRAM IN UBUNTU
STEP 6: BOLT CLOUD OUTPUT
STEP 7: OUTPUT IN UBUNTU
STEP 8: TWILIO OUTPUT SCREENSHOT FROM MOBILE PHONE

Published May 14, 2020

Indoor Temperature Monitor And Control

Monitor and predict room temperature, alert the user and control it by turning on heater or fan when temperature is too cold or too hot.

IntermediateFull instructions provided3 hours533

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

Temperature Sensor

Jumper wires (generic)

Breadboard (generic)

DC motor (generic)

Buzzer, Piezo

SparkFun Dual H-Bridge motor drivers L298

Software apps and online services

Bolt IoT Bolt Cloud

Twilio SMS Messaging API

Ubuntu

Story

WHAT DOES IT DO?

•This project uses IoT to connect and control your household appliances like Fan, Heater through the internet.

•The LM35 Temperature sensor is used to sense the current room temperature and also predict future temperature using polynomial regression in the bolt cloud.

•It turns on the fan when it is too hot and the heater when it is cold and also sends SMS alert to the user via Twilio.

•It also includes Z-score analysis to detect anomaly in the temperature and give alert to the user via SMS and buzzer.

This can be used in all households and also saves us a lot of time and energy as we don't have to pause our work to turn on the fan or heater when needed, since the fan and heater are connected to the internet, it automatically gets turned on depending upon the indoor temperature. It also alerts the user if any anomaly is detected through the buzzer.

Temperature(Celsius)=(sensor value)*100/1024

PROJECT OUTPUT:

Temperature is sensed each minute but in real time this can be increased to minimize alert generated. For experimental purpose:

>When temperature in sensor value is between 320 and 340, no new operation is performed and the previous state is maintained.
>When temperature in sensor value is greater than 340, Fan is turned on and alert is sent via sms to user.
>When temperature in sensor value is less than 320, heater is turned on and alert is sent via sms to user.
>When anomaly is detected the buzzer beeps for 10 second and required action is made.

LM-35 TEMPERATURE SENSOR PIN CONFIGURATION

STEP 1: CIRCUIT DIAGRAM: AFTER CONNECTION PICTURE AND THE CIRCUIT DIAGRAM IS GIVEN IN THE SCHEMATICS SECTION.

USE 12V BATTERY FOR FASTER ROTATION

STEP 2: SETTING UP BOLT CLOUD ACCOUNT

•Bolt cloud is a server which lets you communicate with your Bolt WIFI module over the internet. It offers features like receiving and storing the data collected by Bolt Modules, Storing the data, Analyzing it via Data visualization and Machine Learning as well as it lets your program your Bolt modules.

•Creating cloud account:

•1: Open www.cloud.boltiot.com on your web browser (Google Chrome recommended)

•2: Click on "Sign Up”

•3: Enter your details in the Signup-page shown below. Enter your name, email id (login ID for Bolt cloud), and password in the fields. Do confirm your password by typing it again in the Confirm Password field and then click on the Register button.

•4: Verification of your account: If you have entered all the details correctly, you will be successfully registered on Bolt Cloud. You will be sent a Verification Mail to your mail Id as seen below (Please check your Spam folder if the mail is not found in your Inbox.

•5: You will be redirected to your Bolt Cloud Dashboard, with the Welcome message greeting, where you can click on the Getting Started button to view the guide.

STEP 3: PREDICTING TEMPERATURE PROGRAM IN BOLT CLOUD

The future temperature is predicted using polynomial regression. Refer bolt documents for clear understanding of this topic https://docs.boltiot.com/docs.

LOG IN into Bolt cloud and in products section, click on +Add product and follow as shown in the pictures below and deploy the configuration.

TYPE THE JS CODE HERE.

LINK THE PRODUCT TO THE BOLT WIFI MODULE.

STEP 4: FAN AND HEATER SETUP

•Create a miniature fan and heater using DC motor to control it over the internet.

•DC motor + propeller = FAN (M1)

•DC motor + propeller + light bulb = HEATER (M2)

Connect 12V to L293D for more faster rotation of motor.

HEATER AFTER THE SETUP

STEP 5: PYTHON PROGRAM IN UBUNTU

-> Open the ubuntu virtual machine in VMware. Open the terminal and type the following commands to download the Bolt Python library.

• sudoapt-get update

• sudoapt-get upgrade

• sudoapt install python3-pip

• sudopip3 install boltiot

sudo nano file_name.py to open the file

Press ^x and Y and enter to save the file.

sudo python3 file_name.py to run the file.

REFER TO THE CODE SECTION FOR THE PYTHON CODES:

VMWARE

OPEN UBUNTU

OPEN THE TERMINAL

OPEN conf.py file

OPEN firstproject.py file

STEP 6: BOLT CLOUD OUTPUT

Click on view this device icon to get the following screen.

PRESS THE PREDICT BUTTON NOW

THE ORANGE LINE DEPICTS THE PREDICTED TEMPERATURE

STEP 7: OUTPUT IN UBUNTU

STEP 8: TWILIO OUTPUT SCREENSHOT FROM MOBILE PHONE

SMALL VIDEO CLIP OF OUTPUT WHEN THE HEATER IS TURNED ON AND BUZZER BEEP WHEN ANOMALY IS DETECTED:

FAN IS TURNED ON

PROJECTVIDEO:

Schematics

Code

import conf
from boltiot import Sms,Bolt
import json, time, math, statistics

min_temp = 320
max_temp = 340

def compute_bounds(history_data,frame_size,factor):
    if len(history_data)<frame_size :
        return None

    if len(history_data)>frame_size :
        del history_data[0:len(history_data)-frame_size]
    Mn=statistics.mean(history_data)
    Variance=0
    for data in history_data :
        Variance += math.pow((data-Mn),2)
    Zn = factor * math.sqrt(Variance / frame_size)
    High_bound = history_data[frame_size-1]+Zn
    Low_bound = history_data[frame_size-1]-Zn
    return [High_bound,Low_bound]


mybolt = Bolt(conf.API_KEY, conf.DEVICE_ID)
sms = Sms(conf.SID, conf.AUTH_TOKEN, conf.TO_NUMBER, conf.FROM_NUMBER)
history_data=[]

while True: 
    print ("Reading room temperature")
    response = mybolt.analogRead('A0') 
    data = json.loads(response) 
    if data['success'] != 1:
        print("There was an error while retriving the data.")
        print("This is the error:"+data['value'])
        time.sleep(10)
        continue
    sensor_value=0
    try:
        sensor_value = int(data['value'])
    except e:
        print("There was an error while parsing the response: ",e)
        continue

    bound = compute_bounds(history_data,conf.FRAME_SIZE,conf.MUL_FACTOR)
    if not bound:
        required_data_count=conf.FRAME_SIZE-len(history_data)
        print("Not enough data to compute Z-score. Need ",required_data_count," more data points")
        history_data.append(int(data['value']))
        time.sleep(30)
        continue
    try: 
        print("Temperature is: "+ str(sensor_value))
        if sensor_value > max_temp:
            if sensor_value > bound[0] :
                 print ("The temperature increased suddenly. Sending an SMS.")
                 response = sms.send_sms("Temperature increased: Fan turned on")
                 print("Please turn on the AC!")
                 response3 = mybolt.digitalWrite('0','HIGH')
                 time.sleep(10)
                 response2 = mybolt.digitalWrite('1','HIGH')
                 response2 = mybolt.digitalWrite('2','LOW')
                 response2 = mybolt.digitalWrite('3','HIGH')
                 response2 = mybolt.digitalWrite('4','HIGH') 
            else:
                 print("Room is hot..Sending message that fan is getting turned on")
                 print("Turn on the AC also!")
                 response = sms.send_sms("Its hot: " +str(sensor_value)+" Fan Turned on")
                 print("Response received from Twilio is: " + str(response))
                 print("Status of SMS at Twilio is :" + str(response.status))
                 response2 = mybolt.digitalWrite('1','HIGH')
                 response2 = mybolt.digitalWrite('2','LOW')
                 response2 = mybolt.digitalWrite('3','HIGH')
                 response2 = mybolt.digitalWrite('4','HIGH')
        elif sensor_value < min_temp:
            if sensor_value < bound[1]:
                print ("The temperature decreased suddenly. Sending an SMS.")
                response = sms.send_sms("Temperature increased: Heater turned on")
                print("Please turn off the AC!")
                response3 = mybolt.digitalWrite('0','HIGH')
                time.sleep(10)
                response2 = mybolt.digitalWrite('1','HIGH')
                response2 = mybolt.digitalWrite('2','HIGH')
                response2 = mybolt.digitalWrite('3','HIGH')
                response2 = mybolt.digitalWrite('4','LOW') 
            else:
                print("Room is cold..Sending message that heater is getting turned on")
                print("Turn off the AC!")
                response = sms.send_sms("Its cold: " +str(sensor_value)+" Heater Tuned on")
                print("Response received from Twilio is: " + str(response))
                print("Status of SMS at Twilio is :" + str(response.status))
                response2 = mybolt.digitalWrite('1','HIGH')
                response2 = mybolt.digitalWrite('2','HIGH')
                response2 = mybolt.digitalWrite('3','HIGH')
                response2 = mybolt.digitalWrite('4','LOW')

        history_data.append(sensor_value);
    except Exception as e: 
        print ("Error occured: Below are the details")
        print (e)
    time.sleep(60)

SSID = 'You can find SSID in your Twilio Dashboard' 
AUTH_TOKEN = 'You can find  on your Twilio Dashboard' 
FROM_NUMBER = 'This is the no. generated by Twilio. You can find this on your Twilio Dashboard'
TO_NUMBER = 'This is your number. Make sure you are adding +91 in beginning'
API_KEY = 'This is your Bolt Cloud account API key'
DEVICE_ID = 'This is the ID of your Bolt device'
FRAME_SIZE = 10
MUL_FACTOR = 6

Credits

V. Nimal Yughan

1 project • 0 followers

Indoor Temperature Monitor And Control