Now a day in metropolitan cities air and noise pollution has became a serious issue, due to high decibels and toxic gases present in the environment which directly effect on human health and needs a special attention. Therefore, it has now become necessary to control the pollution (air and noise) to
Automated Air and Sound Pollution Monitoring System
Now a day in metropolitan cities air and noise pollution has became a serious issue, due to high decibels and toxic gases present in the environment which directly effect on human health and needs a special attention. Therefore, it has now become necessary to control the pollution (air and noise) to ensure healthy livelihood and better future. In this Proposal, an effective implementation for Internet of Things (IoT) is used for monitoring atmospheric conditions of environment like air pollution and sound pollution. This system proposes an air quality as well as sound pollution monitoring system that monitors and measure real time air quality as well as sound pollution in an area through IoT-sensors . System uses air sensors to sense presence of harmful gases/compounds in the air and constantly transmit this data on the cloud server. Also, system keeps measuring sound level and reports it through Android App 0r Alarming.
A real-time monitoring system for the monitoring of concentration of air pollution and sound pollution in the environment. For this purpose, a hardware system is designed to detect the carbon monoxide, carbon dioxide , humidity, methane, ammonia gas, fog and temperature. The output of the system obtained from the sensor and processor collaboration through Android app is in digital form. A network using Wi-Fi technology can transmit the information of sensor modules to the another location. The proposed system is supposed to measure the pollution levels of various places or sites. Implementation of an Efficient Noise and Air Pollution Monitoring System Using Internet of Things (IOT). - System includes Internet of Things (IoT); Embedded Computing System; Arduino UNO; Android studio Software; Smart Environment. Here the sensing devices are connected to the embedded computing system to monitor the fluctuation of parameters like noise and air pollution levels from their normal levels. This model is adaptable and distributive for any infrastructural environment that needs continuous monitoring, controlling and behavior analysis. The working performance of the proposed model is evaluated using prototype implementation, consisting of Arduino UNO board, sensor devices and Android stdio with Arduino hardware support package. The implementation is tested for above parameters like noise and air pollution levels with respect to the normal behavior levels or given specifications which provide a control over the pollution monitoring to make the environment smart.
Due to flexibility and low cost, Internet of things (IOT) is getting popular day by day. With the urbanization and with the increase in the vehicles on road the atmospheric conditions have considerably affected. Also, there has been the growth of industries and infrastructure which has caused increase in pollution in atmosphere like air and sound pollution. Air pollution and sound pollution are major constituents for having adverse and harmful effects on environment as well on human beings. To monitor this pollution is a very difficult task. Traditionally, authorities like data loggers were used to collect the data of the site to be analyzed. They had to visit the site to be analyzed every time they wanted the data. This was a lengthy, time consuming and expensive task. Due the use of sensors collaborated with internet can make pollution monitoring less complex, less time consuming and flexible. The data can be obtained from remote location without having to visit the location due the internet. Also, an accurate data with indexing capabilities will be able to obtain. Monitoring gives measurements of air pollutant and sound pollution concentrations, which can then be analyzed interpreted and presented. This information can then be applicable in many ways. Analysis of monitoring data allows us to assess how bad air pollution and sound pollution is from day to day.
We propose an air quality and sound pollution monitoring system that allows us to monitor and check real time air quality as well as sound pollution in particular areas.
The Air and Sound Pollution Monitoring System consists of the Arduino Uno which is based on ATmega328 microcontroller. The system uses air sensors to check the presence of harmful and hazardous gases/ compounds [such as Methane, CO2, carbon monoxide ,fog, humidity, ammonia gas etc.] in the air and also uses the sound sensor to keep measuring sound level in the surroundings. The sensor used are MQ135 and MQ7 1) MQ135,humidity sensor, fog sensor: It is used to detect various gases such as alcohol, benzene, carbon dioxide which are used to collect air pollutants and a sound sensor module mic is used to capture sound. These sensors interact with arduino which processes this data and then transmit it over the mobile application. To send the data over remote location WIFI modem is also installed.
This system has features for the people to monitor the amount of pollution 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.
Some of the features that this view offer is:
sensor values in analog form .
A graph with data for each sensor/actuators.
Configuration of sensors done through Android STUDIO For Android App,.
Breadboard is the main hub of all the sensors
We configured the sensors in such a way that it gives us the understandable values All the values are then shown in both forms( graphical and analog) in Android App.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| WI-FI )Module l ESP 8266 | Equipment | 1 | 4560 | 4560 |
| capacitors | Equipment | 2 | 150 | 300 |
| ESP-32 Micro-controller | Equipment | 1 | 5000 | 5000 |
| Bread board | Equipment | 3 | 750 | 2250 |
| CO 2 Sensor | Equipment | 1 | 2350 | 2350 |
| Button | Equipment | 2 | 150 | 300 |
| Bridge Rectifier | Equipment | 1 | 1500 | 1500 |
| Resistor | Equipment | 1 | 150 | 150 |
| Wires | Equipment | 25 | 10 | 250 |
| Step Down Transformer | Equipment | 1 | 3000 | 3000 |
| CO Sensor (MQ 7) | Equipment | 1 | 4500 | 4500 |
| NH3 Sensor (MQ 137 | Equipment | 1 | 4000 | 4000 |
| Methane Sensor (MQ 4) | Equipment | 1 | 12000 | 12000 |
| Battery 12v | Equipment | 1 | 6000 | 6000 |
| Led | Equipment | 3 | 30 | 90 |
| IC | Equipment | 1 | 1600 | 1600 |
| 16*2 Led Display | Equipment | 1 | 3350 | 3350 |
| Sound Sensor | Equipment | 2 | 4500 | 9000 |
| Humidity sensor Dht 11 | Equipment | 1 | 1500 | 1500 |
| Microphone sound decting | Equipment | 1 | 5500 | 5500 |
| Fog sensor | Equipment | 1 | 2200 | 2200 |
| Android App ,Web Domain Purchase | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 79400 |
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