IoT (Internet of Things) Automation - Smart Energy Usage Tracker

 

Notes:

• Problem Solved: Logs and analyzes power usage from smart meters.

• Customization Benefits: Track per-device energy and set alerts.

• Further Adoption: Sync to cloud dashboards or billing tools.

Python Code:

import random

import csv

from datetime import datetime

def simulate_energy_reading():

    return round(random.uniform(0.1, 2.5), 2)  # kWh usage

with open("energy_log.csv", "a", newline="") as f:

    writer = csv.writer(f)

    usage = simulate_energy_reading()

    timestamp = datetime.now().isoformat()

    writer.writerow([timestamp, usage])

    print(f"Logged: {timestamp} - {usage} kWh")

IoT (Internet of Things) Automation - RFID-Based Access Control

 

Notes:

• Problem Solved: Authenticates user entry via RFID tags for security.

• Customization Benefits: Maintain a dynamic list of allowed users.

• Further Adoption: Integrate with cameras or audit logs.

Python Code:

AUTHORIZED_TAGS = {"1234567890ABC", "AABBCCDDEEFF"}

def read_rfid():

    return input("Scan RFID Tag: ")

def check_access(tag):

    if tag in AUTHORIZED_TAGS:

        print("✅ Access Granted")

    else:

        print("❌ Access Denied")

tag = read_rfid()

check_access(tag)

IoT (Internet of Things) Automation - Real-Time Air Quality Monitor

 

Notes:

• Problem Solved: Continuously monitors air quality from a sensor and triggers alerts.

• Customization Benefits: Adjust thresholds or integrate SMS/email alerts.

• Further Adoption: Push data to cloud dashboards or IoT edge devices.

Python Code:

import random

import time

def read_sensor():

    return random.randint(0, 500)  # Simulated AQI reading

def check_air_quality(aqi):

    if aqi > 150:

        print("⚠️ Poor air quality! Consider ventilation.")

    elif aqi > 100:

        print("🟡 Moderate air quality.")

    else:

        print("🟢 Good air quality.")

while True:

    aqi = read_sensor()

    print(f"Current AQI: {aqi}")

    check_air_quality(aqi)

    time.sleep(10)

IoT (Internet of Things) Automation - Smart Irrigation System

 

Notes:

• Problem Solved: Activates irrigation based on soil moisture data and weather forecast.

• Customization Benefits: Calibrate for crop types or integrate with APIs.

• Further Adoption: Link with physical relay systems and IoT dashboards.

Python Code:

import requests

def should_irrigate(moisture_level, weather_api_key):

    if moisture_level > 30:

        return False

    forecast = requests.get(f"https://api.weatherapi.com/v1/forecast.json?key={weather_api_key}&q=your_city&days=1").json()

    rain_chance = forecast['forecast']['forecastday'][0]['day']['daily_chance_of_rain']

    return rain_chance < 50

# Example usage

if should_irrigate(moisture_level=25, weather_api_key='your_api_key'):

    print("Activate irrigation.")

else:

    print("Irrigation not needed.")

IoT (Internet of Things) Automation - MQTT Sensor Data Logger

 

Notes:

• Problem Solved: Collects real-time data from IoT sensors via MQTT and stores it locally.

• Customization Benefits: Add support for multiple topics or cloud sync.

• Further Adoption: Integrate with InfluxDB, Grafana, or AWS IoT.

Python Code:

import paho.mqtt.client as mqtt

def on_message(client, userdata, msg):

    with open('sensor_log.csv', 'a') as f:

        f.write(f"{msg.topic},{msg.payload.decode()}\n")

    print(f"Logged: {msg.topic} -> {msg.payload.decode()}")

client = mqtt.Client()

client.on_message = on_message

client.connect("broker.hivemq.com", 1883)

client.subscribe("iot/temperature")

print("Listening for sensor data...")

client.loop_forever()

IoT (Internet of Things) Automation - Smart Thermostat Control

 

Notes:

• Problem Solved: Automatically adjusts temperature based on time of day and occupancy.

• Customization Benefits: Set your own temperature profiles or integrate weather data.

• Further Adoption: Connect to smart home systems (Home Assistant, OpenHAB).

Python Code:

from datetime import datetime

def get_temperature_schedule(hour, is_home):

    if not is_home:

        return 18  # Eco mode

    if 6 <= hour < 9:

        return 22  # Morning

    elif 9 <= hour < 17:

        return 20  # Daytime

    elif 17 <= hour < 23:

        return 23  # Evening

    else:

        return 19  # Night

# Example usage

now = datetime.now()

temperature = get_temperature_schedule(now.hour, is_home=True)

print(f"Set thermostat to {temperature}°C")

Web Scraping and Data Extraction - Website Change Tracker

 

Notes:

• Problem Solved: Monitors a webpage for any HTML/textual changes over time.

• Customization Benefits: Set up alerts or track competitor website updates.

• Further Adoption: Integrate with Slack/email APIs to send alerts.

Python Code:

import hashlib

import requests

import time

def get_page_hash(url):

    response = requests.get(url)

    return hashlib.sha256(response.text.encode()).hexdigest()

def track_changes(url, interval=60):

    old_hash = get_page_hash(url)

    print("Monitoring started...")

    while True:

        time.sleep(interval)

        new_hash = get_page_hash(url)

        if new_hash != old_hash:

            print("Website content changed!")

            break

        else:

            print("No change detected...")

# Example usage

# track_changes("https://example.com", interval=300)