Published August 19, 2020

CPU usage monitoring using Bolt

Aim of this project is to tell you how to monitor the load on your CPU by cheking its CPU usage.

BeginnerFull instructions provided30 minutes321

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

Breadboard (generic)

USB-A to Mini-USB Cable

Buzzer

Jumper wires (generic)

Software apps and online services

Bolt IoT Bolt Cloud

Bolt IoT Android App

pycharm

(optional)

Story

Computers are the backbone of today's world. A lot of functions are being executed on computer systems which cause too much load on CPU. Imagine how wonderful it would be if the computer tell us that it is under stress. It is possible we can achieve this using Bolt.

Bolt wifi module

Hardware Connection:

Plug in the Buzzer in Breadboard.
Connect the positive terminal (longer leg) of the buzzer to the '1' pin of the Bolt device.
Now connect negative terminal (shorter leg) to the '2' pin of the Bolt device.

Connect the usb to power source and wait until both blue and green light stops blinking and become still.

Software Setup:

Open Pycharm and make a file config.py and write Api key, Bolt id, SID, mobile numbers, etc.
Make one more python file alert.py.
Install and import https://pypi.org/project/psutil/. Write the program.

AboutPsutil:

Psutil is a Python cross-platform library used to access system details and process utilities. It is used to keep track of various resources utilization in the system. Usage of resources like CPU, memory, disks, network, sensors can be monitored.

psutil.cpu_percent( )

This function calculates the current system-wide CPU utilization as a percentage.

Output:

Output

Twilio alert message

Circuit Diagram

Code

import psutil, time
from boltiot import Bolt, Sms
from config import *


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

cpu_stress_threshold = 5.0 #threshold  after which buzzer start buzz

interval = 5


# define a function named buzzer having two parameters
def buzzer(pin, value):
    response = mydevice.analogWrite(pin, value)


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

       if cpu_usage > cpu_stress_threshold:
        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 from Twilio is: " + str(response))
        print("Status of SMS at Twilio is :" + str(response.status))
 
       else:
        buzzer('1', '0')
    except Exception as e:
        print ("Error occured: Below are the details")
        print (e)
    time.sleep(10)

Credits

siddhant srivastava

1 project • 0 followers

CPU usage monitoring using Bolt

Things used in this project

Hardware components

Software apps and online services

Story

Hardware Connection:

Software Setup:

Output:

Schematics

Circuit

Code

alert.py

config.py

Credits

siddhant srivastava

Comments

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CPU usage monitoring using Bolt

CPU usage monitoring using Bolt

Things used in this project

Hardware components

Software apps and online services

Story

Hardware Connection:

Software Setup:

Output:

Schematics

Circuit

Code

alert.py

config.py

Credits

siddhant srivastava

Comments

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