Published January 6, 2020 © GPL3+

Temp_spy

This is an IOT based project. which sends an alert E-mail. it gives an alert message when there is a rise or fall in the temperature.

IntermediateFull instructions provided3 hours427

Things used in this project

Hardware components

Temperature Sensor

Bolt IoT Bolt WiFi Module

Software apps and online services

Bolt IoT Bolt Cloud

Hand tools and fabrication machines

Premium Female/Female Jumper Wires, 40 x 3" (75mm)

Story

WELCOMETOBOLTIOTPROJECT

NAME OF THE PROJECT : TEMP_SPY

INTRODUCTION :

THIS PROJECT IS BASED ON TEMPERATURE MONITORING SYSTEM MADE WITH THE HELP OF BOLT HARDWARE TO MONITOR THE TEMPERATURE AND TO DETECT ANOMALY.

Hardware connections :

Required components :

Bolt hardware kit x 1

LM35 temperature sensor x 1

3 Female and Male wires

BOLT HARDWARE:

LM35 SENSOR :

Connection Setup :

Connect the one end of wires to the LM35 sensor and the other end to the Bolt Hardware kit. Please pay attention while connecting the wires.

setup

For reference please view through this link for setup : "https://trainings.boltiot.com/courses/429176/lectures/6656669"

Creating product for the sensor :

Open the Bolt Cloud and create a new product for the sensor and link the device to the product.

product for sensor

Hardware configuration and code :

Open the setup and configure the hardware.

hardware configuration

Hardware configuration with code :

Code the hardware to run polynomial algorithm and save it.

code

*** Make sure the device is Online****

Getting Data:

Place the Bolt Hardware in the refrigerator make sure the connection is not disconnected.

hardware inside the refrigerator

Note: Here I used Power Bank to provide power supply for the product.

Reading Values and Graph :

The graph denotes the data collected by the Sensor. It gives the temperature inside the refrigerator. Please keep the hardware at least for 2 hours.

first 20 mins graph

****//THIS PROJECT IS USED TO SEND ALERT EMAIL. SO I HAVE USED MAILGUN. A THIRD PARTY APPLICATION WHICH IS USED TO SEND E-MAILS.

Creating and registering in Mailgun :

The below link can be used for Registration and account creation.

https://www.mailgun.com/

Coding and Explanation :

Open and login using Putty or Vm or Virtual Box.
create a Directory and create a file. Name it as main.py (py stands for python fille).
The main.py file contains the configuration codes like sandbox url, senders email, receivers email etc.

configuration file

Code for temp_spy :

Create a new file in the same directory and name it as Temp_spy.py.
A blank screen is opened and the source code for the project is written.
It uses Z score analysis for anomaly detection.
Save the file.

Note: ensure that the program file contains the same name as mentioned in the configuration file.

1 / 2 • source code

Output :

The output is displayed once the code is error free and it take the value for the given frame size.

output

Graph :

The sensor records the value and it is represented in form of graph.

graph

Detection of anomaly :

A sudden rise or fall of the temperature is indicated through E-mail
When some one opens the door the temperature rises as it sense the difference in the temperature in the atmosphere.
It also sends an E-mail when there is a fall of temperature as we need to maintain the threshold.

Image represents the detection of anomaly

Receiving Alert mail :

As the system detects anomaly it sends an Alert mail.

Alert Mail

Conclusion :

When there is a sudden increase or decrease in the temperature, the sensor detects that and it alerts the user. The sensor collects the data from the environment for the given frame value and senses the anomaly.

Schematics

Code

code for temp_spy

import main,json,time,math,statistics
from boltiot import Email,Bolt
def comp_bound(hdata,frame_size,factor):
    if len(hdata)<frame_size:
        return None

    if len(hdata)>frame_size:
        del hdata[0:len(hdata)-frame_size]
    mn = statistics.mean(hdata)
    variance = 0
    for data in hdata:
        variance += math.pow((data-mn),2)
 ## to compute z score
    zn = factor *math.sqrt(variance/frame_size)
## to compute bounds
    h_bound = hdata[frame_size-1]+zn
    l_bound = hdata[frame_size-1]-zn
    return [h_bound,l_bound]

mybolt = Bolt(main.api_key,main.device_id)
mailer = Email(main.mailgun_key,main.sandbox_url,main.sender_email,main.receiver_email)
hdata = []
max = 240
min = 190
while True:
    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

    print("this the value"+data['value'])
    sensor_value = 0
    try:
         sensor_value = int(data['value'])
    except e:
         print("the was an error while parsing the response:",e)
         continue
   
 bound = comp_bound(hdata,main.Frame_size,main.mul_fact)
    if not bound:
         required_data = main.Frame_size - len(hdata)
         print("need more data for computation",required_data,"more data")
         hdata.append(int(data['value']))
         time.sleep(10)
         continue
    try:
         if sensor_value > bound[0] or sensor_value > 240:
           print("the temperature increased suddenly. Sending an email")
           response = mailer.send_email("alert email","Some one opened the refrigerator")
           response_text = json.loads(response.text)
           print("this is the response" +str(response_text['message']))
         elif sensor_value < bound[0] and sensor_value < 190:
           print("the light level decreased suddenly.Sending an email")
           response = mailer.send_email("alert mail","Some one closed the refrigerator")
           response_text = json.loads(response.text)
           print("this is the response"+str(response_text['message']))
         hdata.append(sensor_value);
    except Exception as e:
        print("error")
    time.sleep(10)

Temp_spy

Things used in this project

Hardware components

Software apps and online services

Hand tools and fabrication machines

Story

INTRODUCTION :

Hardware connections :

Connection Setup :

Creating product for the sensor :

Hardware configuration and code :

Hardware configuration with code :

Getting Data:

Reading Values and Graph :

Creating and registering in Mailgun :

Coding and Explanation :

Code for temp_spy :

Output :

Graph :

Detection of anomaly :

Receiving Alert mail :

Conclusion :

Custom parts and enclosures

hadware

Schematics

circuit connection

circuit connection for temp_spy

Code

code for temp_spy

Credits

malolan aravamuthan

Comments

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Temp_spy

Temp_spy

Things used in this project

Hardware components

Software apps and online services

Hand tools and fabrication machines

Story

INTRODUCTION :

Hardware connections :

Connection Setup :

Creating product for the sensor :

Hardware configuration and code :

Hardware configuration with code :

Getting Data:

Reading Values and Graph :

Creating and registering in Mailgun :

Coding and Explanation :

Code for temp_spy :

Output :

Graph :

Detection of anomaly :

Receiving Alert mail :

Conclusion :

Custom parts and enclosures

hadware

Schematics

circuit connection

circuit connection for temp_spy

Code

code for temp_spy

Credits

malolan aravamuthan

Comments

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