IoT Based Car Engine Health Monitoring and Noise Pollution for Environment

Air and noise pollution is a health problem that is increasing with every passing day. It has become a necessity to monitor the air quality for a healthy atmosphere and since noise pollution has become a major cause for many diseases such as, hypertension, high blood pressure, hearing loss etc. we p

2025-06-28 16:33:24 - Adil Khan

Project Title

IoT Based Car Engine Health Monitoring and Noise Pollution for Environment

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

Air and noise pollution is a health problem that is increasing with every passing day. It has become a necessity to monitor the air quality for a healthy atmosphere and since noise pollution has become a major cause for many diseases such as, hypertension, high blood pressure, hearing loss etc. we propose a monitoring system to detect the declining air quality and noise related issues beforehand so the authorities are alerted to take the precautionary measures. It can be deployed at various places including busy roads, hospitals, schools and no honking areas.

Project Objectives

Internet of things is one of the latest works that has been done in this path. The increment in use of internet and the interaction of human with machine gave rise to IOT. It allows exchange of information among various devices like fridge, washing machine, automobiles, watches etc. This exchange of information takes place with the help numerous sensors. The pollution monitoring system involves use of sensors which measures the sound pollution concentration and level of harmful gases like CO and SO2 which majorly pollutes the air because of bad engine health conditions. Comparisons are done automatically using previously stored data in database and output is stored on cloud to make it accessible from remote areas. The account for the success of IOT is its efficiency and makes it a feasible technology at low cost This paper involves description of the system that presents its output with the help of an android application which the user can download in their mobile phones and access it whenever they want. It can be used for notifying the fire brigade authorities and fire brigades itself if an fire has taken place in the areas. This device is a extremely helpful  asset to save precious lives of people and their property and alert them accordingly.

Project Implementation Method

IOT based air and noise pollution monitoring system would monitor the air quality and also the noises. This system has simple drive circuit, works on real time and has visual output. If the air quality goes below a certain level or the noise goes above a certain threshold value, the system would trigger an alarm over a web server using the internet. The system will show the environment quality in the PPM and on the webpage so it can be monitored easily. However, an exact measurement of contaminating gases cannot be detected in ppm. The system can be used for monitoring pollution level to prevent excess of pollution by giving out an instant alert to the authorities. For this purpose, a cost effective IOT technology is used. Hence air and sound pollution is monitored by using this technology.

The Automatic Air & Sound management system is a step forward to contribute a solution to the biggest threat. The air & sound monitoring system overcomes the problem of the high pollution caused by bad engine health. It supports the new technology and effectively supports the healthy life concept. This system has features for the people to monitor the amount of pollution being caused on their mobile phones using the application. So, it becomes very reliable and efficient for the Municipal officials along with the Civilians to monitor environment. Letting civilians also involved in this process adds an extra value to it. As civilians are now equally aware and curious about their environment, this concept of IOT is beneficial for the welfare of the society. And it is implemented using the latest technology.

This IOT based air and noise pollution monitoring device is a great step towards a healthy livelihood. With the help of this device not only the municipal authorities but even the common people can participate in the process of controlling pollution and ensure safe environment. These automatic devices, once installed are capable of continuously tracking the pollution level and analyze the detected information. The most highlighting feature of this device is that the output is represented in digital as well as analog format with the help of a simple mobile application which is usable on all android devices like smart phones, tablets, PDA’s etc. The device itself is very eco-friendly and does not harm the environment in any way. Moreover, it is based on one of the modern technology and also inexpensive as compared to other technologies developed so far and can be installed anywhere.

For creating the system, first author did the research based on the system about IOT and various sensors. Sensors of air and sound based on availability and economical price were selected. For the interaction of internet with the system using a Wi-Fi module which is connected to the microcontroller through the serial port. So, the measured data is sent from the module to any location with its range from the data can be fetched using a laptop /mobile.

Benefits of the Project Technical Details of Final Deliverable

Module Specifications:

Power Supply:

The power supplied to the Arduino to power it up will come from the main supply. The voltage supplied would be 12V. To step down the voltage it will pass through some steps.

  1. Transformer

The voltage that we get from the grid is actually 220V AC.so we add here a transformer that will step down the voltage to 12V AC.

  1. Rectifier

The rectifier will now change the 12V AC to 12V DC.

  1. Regulator

The regulator here will now smooth the DC wave. The Regulator we are using here is operating at 12V as well. The regulator will now power up the Arduino UNO.

Sensors:

We are using sensors here to sense the changes in the environment and transmit the data to Arduino to which they are actually connected. The sensors we are using here are:

  1. Gas sensors (MQ-135)

The MQ-135 Gas sensors is used in air quality control equipment and are suitable for detecting or measuring of NH3, NOx, Alcohol, Benzene, Smoke, and CO2.

  1. LPG sensor (MQ-6)

This is liquefied petroleum gas (LPG) sensor, suitable for sensing LPG (composed of mostly propane and butane) concentrations in the air. The MQ-6 can detect gas concentrations anywhere from 200 to 10000ppm.

  1. Humidity sensor

The sensor will help to measure the humidity levels in air.

  1. Temperature sensor

This sensor is to collect data about temperature. This device operates at the range of -55 to 150 degree Celsius.

  1. Sound sensor

The sound sensor will collect the data about the change in amplitude levels of the sound waves.

ESP32 MODULE KIT

The esp32 here is a good choice since it is cheap and user friendly. This will get the DC from the rectifier to power it up.

LCD:

The LCD we are using here is 16x2. The pins to be used here will be :

      RS pin

A register select (RS) pin that controls where in the LCD's memory you are writing data to.

(R/W) pin

A Read/Write (R/W) pin that selects reading mode or writing mode

Enable pin

An Enable pin that enables writing to the registers

D0-D7 data pins

8 data pins (D0 -D7). The states of these pins (high or low) are the bits that you are writing to a register when you write, or the values you are reading when you read.

Vo, Power supply pin and Led backlight

There's also a display contrast pin (Vo), power supply pins (+5V and Gnd) and LED Backlight (Bklt+ and Bklt-) pins that you can use to power the LCD, control the display contrast, and turn on and off the LED backlight, respectively.

Final Deliverable of the Project Hardware SystemCore Industry TelecommunicationOther Industries IT Core Technology Internet of Things (IoT)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 46550
Arduino Equipment218003600
LCD 16X2 Equipment35001500
GAS SENSOR MQ5 Equipment38002400
GAS SESNOR MQ6 Equipment39002700
ALARM BUZZER Equipment28001600
SOLDERING IRON Equipment38002400
SOLDERING WIRE Equipment25001000
PPRC PIPE Equipment122002200
PPR HEATER Equipment140004000
PCB BOARD + FABRICATION Equipment318005400
IR SENSORS Equipment316004800
WIRES Equipment1500500
NOISE SENSORS Equipment39502850
POWER ADAPTER Equipment28001600
1x PANAFLEX BOARD (1800), 1x HARDWARE MODEL (3000) Miscellaneous 148004800
Printing, Stationery etc. Miscellaneous 152005200

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