Iot based Trio-Monitoring system for environmental pollution

Today, many advanced systems, techniques are present to monitor Water quality But, everywhere In the world it is not likely that these systems are available especially in developing country like Pakistan. In remote areas where there is the unavailability of Advanced testing systems, laboratorie

Project Title

Iot based Trio-Monitoring system for environmental pollution

Project Area of Specialization

Internet of Things

Project Summary

Today, many advanced systems, techniques are present to monitor Water quality But, everywhere In the world it is not likely that these systems are available especially in developing country like Pakistan. In remote areas where there is the unavailability of Advanced testing systems, laboratories for the monitoring of Water, Air and Noise quality. This system is innovative, alternate, Fastest and accurate testing of Water, Air and Noise monitoring through Android Application based on IOT protocols. This work presents the design and implementation of a system that is cost effective, highly efficient, fastest, accurate and innovative technique based on cutting-edge technology used for water, air and noise quality monitoring. The Internet of Things help to solve a lot of problems in different fields such as smart cities, IoT applications are related with parking issues, traffic, and illumination monitoring emergency systems for earthquakes. IoT are used to deliver information from the sensors and to the end user.

The goal is to present and develope a monitoring system equipped with a Raspberry Pi that is connected to an array of sensors for the water, air and noise quality monitoring. MQ-4,5,9,135, DHT-11, LM393, ME-3, TDS, Temperature, Turbidity Dissolved oxygen and pH sensors are considered. These sensor detects the presence of Ph, turbidity, lead, salinity, dissolved oxygen, total dissolved solids, Noise NOx, Sox, CO, CO2, NO2, NO3, SO2, NH3 & other gases. Microprocessor is use to manipulate data in a pattern that can be programmed by software as to convert the analogue into digital by using coding. The sensors interfacing with Raspberry Pi platform also with different signal conditioning modules such as WIFI and GSM are also implemented. Referring to the system software, Python script is developed in order to read the values from the sensors and to write them to a local database. Data detected by Sensors displayed on an LCD. Local storage is provided by means of a memory chip that will store data. The Power is provided to the project by means of portable solar pack employs solar energy to supply electricity to device. Wi-Fi Module is provided to give microcontroller access to Wi-Fi network, capable of either hosting an application or offloading data to cloud storage. Also includes GSM Module. It sends data to Microcomputer to continue communication by receiving, sending SMS and calls if there is unavailability of Wi-Fi. In order to locate the position of a monitoring device GPS is installed. The stored data from cloud is retrieved in application, website and stored for displaying. Through which, at anywhere, anytime in every weather you can get real-time data from a place far away from you. In order to be possible to access and visualize the data in an appropriate GUI an Android application for mobile device is develop. The applications fetch the data from the server database and provide live readings for the system user. 

Project Objectives

1. The ultimate goal and objective of our study is to develop and fabricate a fully functional IOT based Trio-monitoring system .
2. To develop a renewable energy based, easily operable and cost-effective system enabling the residents of rural areas to monitor water, air and noise quality by their own.
3. To monitor the water, Air quality and Noise level of a remote areas by sensors through IOT environment.
4. To obtain the real time water,air and noise pollution results in the respected areas over the cloud server also on android application.
5. To propose the treatment to the estimated concentration of contaminants in the surrouding bodies.

Project Implementation Method

1. Our project is based on the Wireless sensing network that uses IOT protocols.
2. The presence of harmful air and water quality pollutants, Moisture content, Temperature and noise pollution in the surrounding is sensed by the respective sensors MQ-(135, 9, 5, 4), TDS, DO, pH, Turbidity, DS18B20, DHT-11 and LM-393 and the corresponding values are recorded.
3. The recorded values of sensor are then transmitted to the Microprocessor (Raspberry Pi 3B) through the ADC (Analog to digital converter) which is integrated on the PCB board.
4. Whereas the data recorded from the DHT-11 and LM-393 don’t require any ADC because they have capability of directly transferring analog data by means of using their libraries name as:DHT11.h and LM393.h so these sensors are directly connected to the digital pins of Raspberry Pi 3B.
5. After receiving the digitized data from particular sensors we applied the digital to analog processing by using the ADC library i.e ADSX1115.h.
6. After that we have initialized infinite loop in order to continuously read data on every clock cycle (SCL).
7. In order to send the data over the internet we required some sort of protocol, we have used MQTT communication protocol/library to send the data over portal (cayenne).
8. We then initialized the MQTT library with our API (application program interface) IDs. Over the portal we have created separate channel for each of our sensors so that the specified data can be communicated to the specified channel.
9. After the completion of transferring the sensed data over the portal we are providing a delay of 500 ms (milli seconds).
10. In the case of absence of network sensed values are being stored on SD card when the network gets available the stored data will be sent to the portal.
11. When there is the unavailability of Wi-Fi and the cellular network is available then the communication gateway will be switched to GPRS via GSM module.
12. If the sensed data rises over the NEQS then it must be transferred to the end user we have  the feature of sending the sensed data and treatment suggestion through SMS via GSM module.

Benefits of the Project

1. This project is justified as it aims at coming up with an IOT architecture that can be used for an efficient water, air and noise quality monitoring system that is scalable, low-cost, portable and can monitor air and noise quality data with a wide coverage with minimal or no human interaction.
2. The system will ensure that the live readings of the water, air and noise quality for 24 hours each day are being transmitted to the citizens of the respected areas, environmental protection agencies and authorities enabling them to take necessary actions to maintain good and healthy water, air and noise quality standards. '
3. The system changes the old process of pollution monitoring i.e. physically collecting the samples to new, sustainable and automatic process of pollution monitoring.
4. The system monitors the water, air and noise quality 24 hours each day and uploads that data over server in the case of absence of Wi-Fi and cellular network the data is stored in the memory card and gets uploaded over server when the Wi-Fi and cellular network are available.
5. When the system detects that the pollution has increased from the standardized limit than it sends warning SMS and email to the authority along with the temporary remedy and treatment suggestion.
6.  water, air and noise quality monitoring system with efficient and scalable platforms that monitors varied by heterogeneous sensing infrastructure and remittance of real-time water, air and noise quality have been developed and used in the developed countries by using the readily available enabling technologies and borrowing from these test beds, and IoT enabled air quality monitoring system is therefore feasible in Pakistan. 
7. The sensors are protected from various natural factors such as humidity, rain, and high temperature. 

Technical Details of Final Deliverable

The system tends to be effective and efficient way for air and noise quality monitoring in the enlisted Organizations and companies:

1. NGO
2. PCSIR laboratories.  
3. Industries.
4. Power plants.  
5. Environmental protection agency (EPA).
6. National highway authority (NHA).
7. Oil and Gas Sector.  
8. water treatment utilities.

along with the above-mentioned organization and authorities the system is also necessary requirement of common people because it enables them to check whether they are living and breathing in a good and healthy air in the surroundings or not.   

Final Deliverable of the Project

Hardware System

Type of Industry

IT , Agriculture , Food , Others , Health , Security

Technologies

Artificial Intelligence(AI), Internet of Things (IoT), Cloud Infrastructure, Clean Tech

Sustainable Development Goals

Good Health and Well-Being for People, Clean Water and Sanitation, Industry, Innovation and Infrastructure, Climate Action, Life Below Water, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com