Published January 12, 2020 © LGPL

CPU Stress Level Alert

How much CPU is utilised in your PC? This project indicates the CPU load percentage on LEDs using the Bolt and warns if CPU is overloaded.

BeginnerFull instructions provided1 hour615

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

Resistor 330 ohm

5 mm LED: Red

5 mm LED: Green

Male/Male Jumper Wires

Breadboard (generic)

USB-A to Mini-USB Cable

Software apps and online services

Bolt IoT Bolt Cloud

Bolt IoT Android App

Story

1. Introduction

This project has primarily three functionalities i.e. to find the percentage of CPU utilised, to check the CPU percentage is above threshold and to turn on/off the green and red LEDs accordingly. When the CPU percentage is above threshold, the red LED turns on and the green turns off. When the CPU percentage is below threshold, the green LED turns on and the red LED turns off. This way, the CPU could shout out at you and flash LEDs every time it's feeling stressed out.

CPU Stress Level Meter

2. Hardware Setup

On the breadboard, the Green LED's positive leg is connected to digital pin 0 through a resistor of 330 ohms and a male/male jumper wire. The Green LED's negative leg is connected to GND through a male/male jumper wire. The Red LED's positive leg is connected to digital pin 1 through a resistor of 330 ohms and a male/male jumper wire. The Red LED's negative leg is connected to GND through the same male/male jumper wire which connects the Green LED to GND.

After the circuit connection is over, plug in the circuit to a laptop/PC or a power source using USB cable and setup your bolt device using the Bolt IoT Android/iOS app.

Hardware connections for CPU Stress Level Meter

3. Software Setup

Copy the API Key and the Bolt Device ID after setting up your Bolt IoT Cloud account from the dashboard. Before we start coding of the CPU stress level in python, we need to make a configuration file which will have the specific keys for each user/device. We will import this file in our main code and use the attributes - API_KEY and DEVICE_ID which are the same API Key and the Bolt Device ID which are copied from the dashboard.

The following is the configuration file (named as conf.py):

API_KEY = "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX" # Bolt Cloud API Key
DEVICE_ID = "BOLTXXXXXXX" # Device ID of the Bolt Module

The main code file is named as cpu_stress_level.py given in the Code section. It implements all the three functionalities of the project as mentioned in the Introduction. Run the Python script on your machine by running the below command on your PC or remote server.

python cpu_stress_level.py

4. Demonstration

4.1. OutputScreenshots of Python Code (CPU is not under stress)

Output of the program when CPU percentage is below threshold.

Green LED turns on and Red LED turns off when CPU is not under stress.

4.2. OutputScreenshots of Python Code (CPU isunder stress)

Output of the program when CPU percentage is above threshold.

Green LED turns off and Red LED turns on when CPU is under stress.

Code

import psutil, conf, time, json
from boltiot import Bolt

cpu_stress_threshold = 40 # Threshold is set as 40 percent. When CPU utilisation is more than 40 percent the program will give a warning.
mybolt = Bolt(conf.API_KEY, conf.DEVICE_ID)

#interval in seconds to check CPU usage
interval = 10

# function to control green led
def control_green_led(pin, value) :
    response = json.loads(mybolt.digitalWrite(pin, value))
    if response["success"] == 1 and value == 'HIGH' :
        print('Green LED turned on.')
    elif response["success"] == 1 and value == 'LOW' :
        print('Green LED turned off.')

# function to control red led
def control_red_led(pin, value) :
    response = json.loads(mybolt.digitalWrite(pin, value))
    if response["success"] == 1 and value == 'HIGH' :
        print('Red LED turned on.')
    elif response["success"] == 1 and value == 'LOW' :
        print('Red LED turned off.')

while True :
    cpu_usage = psutil.cpu_percent(interval = interval)
    print("CPU usage is", cpu_usage)
    if cpu_usage > cpu_stress_threshold :
        print('Warning ! CPU is under stress.')
        control_green_led('0','LOW') # turn off green led
        control_red_led('1', 'HIGH') # turn on red led
        print()
    else :
        print('CPU is not under stress.')
        control_green_led('0', 'HIGH') # turn on green led
        control_red_led('1', 'LOW') # turn off red led
        print()

Credits

NILESH TIWARI

1 project • 1 follower

Thanks to Mayank Joneja and Rahul Singh.

CPU Stress Level Alert

Things used in this project

Hardware components

Software apps and online services

Story

1. Introduction

2. Hardware Setup

3. Software Setup

4. Demonstration

Schematics

Circuit connection

Code

cpu_stress_level

conf.py

Credits

NILESH TIWARI

Comments

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CPU Stress Level Alert

CPU Stress Level Alert

Things used in this project

Hardware components

Software apps and online services

Story

1. Introduction

2. Hardware Setup

3. Software Setup

4. Demonstration

Schematics

Circuit connection

Code

cpu_stress_level

conf.py

Credits

NILESH TIWARI

Comments

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