POLLUTION MONITORING SYSTEM FOR INDUSTRIES

Aim

The aim of the project is to monitor pollution levels at Industries/factory output valve

Problem statement

Industries have a responsibility to monitor and reduce their environmental impact. The challenge is to create an automatic pollution monitoring system that can efficiently track emissions, chemical pollutants, and environmental parameters in industrial settings, providing real-time data to ensure compliance with regulations and minimize the ecological footprint

Material used

Input: MQ135- Air quality sensor
Brain: TinkerSpace Brain Board
Output: RGB LED
Battery: 5V Lithium-ion rechargeable battery

Component description
MQ135- Air quality sensor

The function of MQ135 sensor is to detect the air pollution and send the signal to the Brain unit (TinkerSpace board). 

RGB LED

The function of the RGB LED is to emit light

TinkerSpace Brain Board

TinkerSpace board acts as brain of this project, its function is to monitor MQ135 Sensors and control the RGB LED.

Battery

5V Lithium-Ion battery is used to power-up this project

Working description

Case – 1: When the pollution level is high, the MQ135- Air quality sensor​(input) sends a signal to the TinkerSpace brain board (brain). The brain
board turns ON the RGB LED (output) and it emits red light.

Case – 2: When the pollution level is normal, the MQ135- Air quality sensor​(input) sends a signal to the TinkerSpace brain board (brain). The brain
board turns ON the RGB LED (output) and it emits green light.

Circuit Design (DesignSpace)

Step 1: Open TCode App -> Create New project -> Open DesignSpace

Step 2: Connect the MQ135 sensor  to INPUT 3 of the Brain board.

Step 3: Connect RGB LED  to Output 3 of the Brain Board.

Step 4: Connect supply and test project.

Sensor Dev. Kit
Mode: Reverse Mode (R)
Model ideas

Plan to make industrial area

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