Published April 15, 2019 © LGPL

Light Monitoring System

This is a light monitoring system which alarms you using a buzzer when there is anomaly in the light intensity. It also sends an SMS alert.

BeginnerWork in progress1 hour583

Things used in this project

Hardware components

Bolt IoT Bolt WiFi Module

LDR, 5 Mohm

Buzzer

Breadboard (generic)

Jumper wires (generic)

Resistor 10k ohm

Story

Plants need enough light during the day for healthy growth. People who love Gardening must always worry about enough light reaching the plants. But it's difficult to keep monitoring light intensity on plants throughout the day.

So, Here's a simple solution using Internet of Things and ML algorithm.

LDR sensor is used to detect the light intensity. The sensor values are sent to cloud. On cloud, By Z-score analysis(a Machine learning algorithm) anomalies are detected and we get alerts.

Throughout the day, the light will change with the rising and setting of the sun. This change will be slow, and the bounds for the system will change to match this change. But due to some reason like shadow on the plant, the intensity of light on the plant will change suddenly. Because of this, the system will detect an anomaly and quickly alert you that someone is in your room.

In This project I have used twilio app to get sms alert on our mobile. Also a Buzzer is connected which produces sound for 10 seconds when an anomaly in data is detected.

Code

light monitoring system

import conf, json, time, math, statistics
from boltiot import Sms, Bolt

def compute_bounds(history_data,frame_size,factor):
    if len(history_data)<frame_size :
        return None

    if len(history_data)>frame_size :
        del history_data[0:len(history_data)-frame_size]
    Mn=statistics.mean(history_data)
    Variance=0
    for data in history_data :
        Variance += math.pow((data-Mn),2)
    Zn = factor * math.sqrt(Variance / frame_size)
    High_bound = history_data[frame_size-1]+Zn
    Low_bound = history_data[frame_size-1]-Zn
    return [High_bound,Low_bound]

mybolt = Bolt(conf.API_KEY, conf.DEVICE_ID)
sms = Sms(conf.SSID, conf.AUTH_TOKEN, conf.TO_NUMBER, conf.FROM_NUMBER)
history_data=[]

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 is the value "+data['value'])
    sensor_value=0
    try:
        sensor_value = int(data['value'])
    except e:
        print("There was an error while parsing the response: ",e)
        continue

    bound = compute_bounds(history_data,conf.FRAME_SIZE,conf.MUL_FACTOR)
    if not bound:
        required_data_count=conf.FRAME_SIZE-len(history_data)
        print("Not enough data to compute Z-score. Need ",required_data_count," more data points")
        history_data.append(int(data['value']))
        time.sleep(10)
        continue
    try:
        if sensor_value > bound[0] :
            print ("The light level increased suddenly. Sending an SMS.")
            response = sms.send_sms("Someone turned on the lights")
            response=mybolt.digitalWrite('1','HIGH')
            time.sleep(10)
            response=mybolt.digitalWrite('1','LOW')
            print("This is the response ",response)
        elif sensor_value < bound[1]:
            print ("The light level decreased suddenly. Sending an SMS.")
            response = sms.send_sms("Someone turned off the lights")
            response=mybolt.digitalWrite('1','HIGH')
            time.sleep(10)
            response=mybolt.digitalWrite('1','LOW')
            print("This is the response ",response)
        history_data.append(sensor_value);
    except Exception as e:
        print ("Error",e)
    time.sleep(10)

Credits

Nandini Bangale

1 project • 0 followers

Light Monitoring System

Things used in this project

Hardware components

Story

Schematics