Overview
Things
Story

1. HARDWARE SETUP

Published June 29, 2020

CPU Stress Monitoring using Bolt IoT

This project will help you monitor your PC's performance by keeping check on the CPU usage.

BeginnerProtip2 hours508

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

LED (generic)

Buzzer

Resistor 330 ohm

USB-A to Mini-USB Cable

Breadboard (generic)

Jumper wires (generic)

Software apps and online services

Bolt IoT Bolt Cloud

Bolt IoT Android App

Story

What if your machine could actually tell you it's under a lot of stress and could just shout at you whenever it needs rest, guys it's now possible because of the Bolt Wifi Module.

Bolt Wifi Module

This project will allow your PC to communicate with you when it's CPU usage is higher than the threshold limit with the help of buzzer and LED.

1. HARDWARE SETUP:

Take your breadboard and plug in the LED and the buzzer on it.
Connect one end of the 330 ohm resistor to the longer leg(i.e positive) of the LED and connect the other end of the resistor to the '0' pin of the Bolt device.
Connect the shorter leg(i.e negative) of the LED to the 'GND' pin of the Bolt device.
Now connect the longer leg(i.e positive) of the buzzer to the '1' pin of the device and shorter leg(i.e negative) to the '2' pin of the Bolt device.

In this project, LED is used to indicate that the CPU usage is under the set threshold and the buzzer indicates CPU usage is more than the threshold.

2.SOFTWARE SETUP:

2.1Setting up Your BOLT device

First of all, you need to power up your Bolt Wifi Module using a USB cable and an adaptor or direclty connecting the USB cable to your PC.

Secondly, you have to set up your Bolt Device which can be done by going through this link https://cloud.boltiot.com/docs

2.2Getting yourAPI key and Device Id

Now click on the API tab and Enable the key, now copy it.

You need to copy both your device Id and API key because they will be used in the code.

2.3 Setting up the Environment

For this project I have used the PyCharm IDE, you can use any other IDE you like, here is the link for downloading latest version of python, the PyCharm IDE and it's setup

https://www.python.org/downloads/

https://www.jetbrains.com/pycharm/download/

After setting up the environment, you need to import the Bolt Library for the Bolt Projects for that follow the below steps:

Go to file > settings > project interpreter
Then add the required library, for this project it is "boltiot"
Download this package, and you are good to go.

You can also refer to this video about how to install pip packages in PyCharm

2.4 Code

2.4.1Configuration file

First you need to create a new python file say details.py, here we will enter all the details of our Bolt device like the device id and API key and the details of our Twilio account.

To create an account on Twilio follow the below steps:

Go to https://www.twilio.com/ and click on sign up
Enter the necessary details and start your free trial
Follow all the steps to setup your account
After completing, go to your Dashboard page and you will get the below details.

Copy your 'Trial Number', 'Account SID' and 'Auth Token'
Paste the above data in the python file you created before by the name details.py

SID = 'You can find SID 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 accout API key'
DEVICE_ID = 'This is the ID of your Bolt device'

Below is thetypeof SMS you will get from Twilio after running the code

Here is the video of how this project works

Code

import psutil, details, time
from boltiot import Bolt, Sms

mydevice = Bolt(details.API_KEY, details.DEVICE_ID)
sms = Sms(details.SID, details.AUTH_TOKEN, details.TO_NUMBER, details.FROM_NUMBER)

cpu_stress_threshold = 5.0

# interval after which cpu usage will be checked
interval = 5

def led(pin, value):
    response = mydevice.digitalWrite(pin, value)

def buzzer(pin, value):
    response = mydevice.analogWrite(pin, value)


while True:
    cpu_usage = psutil.cpu_percent(interval = interval)
    print ("CPU usage is", cpu_usage)
    try:

       if cpu_usage > cpu_stress_threshold:
        led('0','LOW')
        buzzer('1', '255')
        buzzer('2', '0')
        # Now a message is sent to your mobile through twilio
        response = sms.send_sms("The Current CPU usage is " + str(cpu_usage))      
        print("Response received from Twilio is: " + str(response))
        print("Status of SMS at Twilio is :" + str(response.status))

       else:
        led('0', 'HIGH')
        buzzer('1', '0')
    except Exception as e:
        print ("Error occured: Below are the details")
        print (e)
    time.sleep(10)

Credits

Muskaan Maan

1 project • 0 followers

CPU Stress Monitoring using Bolt IoT

Things used in this project

Hardware components

Software apps and online services

Story

1. HARDWARE SETUP:

Schematics

CPU Stress Monitor Circuit

Code

Configuration File

Final Code

Credits

Muskaan Maan

Comments

Embed the widget on your own site

CPU Stress Monitoring using Bolt IoT

CPU Stress Monitoring using Bolt IoT

Things used in this project

Hardware components

Software apps and online services

Story

1. HARDWARE SETUP:

Schematics

CPU Stress Monitor Circuit

Code

Configuration File

Final Code

Credits

Muskaan Maan

Comments

Related channels and tags