Gas Pollution: A Parametric Analysis Adopting Drone-based Evaluation and IOTs | Chapter 9 | Engineering Research: Perspectives on Recent Advances Vol. 12

 

In Nigeria, the Niger Delta region is faced with challenges of oil and gas exploitation. These activities increasingly affect human, aquatic life in the ocean, animals and the natural environment. Recent advancements in technology have introduced unmanned aerial vehicles (UAVs), commonly known as drones, as a viable and innovative solution to these challenges. This study presents a novel approach for monitoring air pollution with a drone and Internet of Things (IoT) technology. The specific objectives include developing a drone-based system capable of capturing gas pollution data, integrating various sensors to monitor environmental conditions and detect air pollutants (harmful gases) and developing a communication system for real-time data collection and dissemination. The design utilises sensors for the detection of hazardous gases and an ESP8266 module for real-time data transmission and cloud-based data presentation. The system facilitates sustainable environmental studies by providing access to areas that are hard or unsafe to reach, anytime. The research locations include Iko Town and Ukpenekang communities in Eastern Obolo LGA, Akwa Ibom State, Nigeria. Data collected during drone test flights was compared with traditional air quality monitoring stations to evaluate accuracy. The results show an affordable method for measurement of air quality in real time, especially in the challenging areas that are affected by oil and gas exploration, production and refining processes, such as the Niger Delta region of Nigeria. The findings demonstrate the feasibility of using drones and IOT for real-time environmental monitoring aimed at equipping researchers and policy makers with data to protect human lives, public health and the environment. In the course of this study, minor limitations were observed, including restricted flight duration and short range. Future research will investigate advancements in long-range communication protocols and the application of machine learning technology.

 

 

Author(s) Details

Bassey Okon
Department of Mechanical Engineering, Federal University of Technology, Ikot Abasi, Nigeria.

 

Ubong Ukommi

Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Nigeria.

 

Isaac Udoetor
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Nigeria.

 

Enobong Akanimo
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Nigeria.

 

Please see the book here :- https://doi.org/10.9734/bpi/erpra/v12/6960

 

Study about Massive MIMO Communication| Chapter 6 | Techniques and Innovation in Engineering Research Vol. 2

 Every new network generation needs to dramatically increase area data throughput to keep up with the growing wireless data traffic. Massive MIMO technology can enhance area throughput by at least ten times while using the same base station density and capacity as current networks by improving spectral efficiency (bit/s/Hz/cell). These incredible increases are made possible by the base stations' arrays of 100 antennas, which allow for the spatial multiplexing of tens of user terminals. A base station with many antennas may be able to serve many active users using Massive MIMO technology. Due to MIMO Technology's ability to concentrate delivered signal energy in incredibly small places, system capacity would dramatically increase.  

Author(s) Details:

Anuj Kumar Sharma,
Department of Electronics & Communication Engineering, Faculty of Engineering & Technology, Gurukul Kangri Deemed to be University, Haridwar, India.

Vipul Sharma,
Department of Electronics & Communication Engineering, Faculty of Engineering & Technology, Gurukul Kangri Deemed to be University, Haridwar, India.

Shiv Kumar Singh,
Department of Electronics & Communication Engineering, Faculty of Engineering & Technology, Gurukul Kangri Deemed to be University, Haridwar, India.

Please see the link here: https://stm.bookpi.org/TAIER-V2/article/view/8274

Wi-Fi Based Solar Plant Monitoring System | chapter 9 | New Approaches in Engineering Research Vol. 3

 Renewable energy systems are quickly becoming the most efficient way to generate electricity. Because solar plants are generally decentralized, it is difficult to monitor them. This paper presents a low-cost prototype for real-time monitoring of a solar plant that collects current, voltage, and power values from sensors via Wi-Fi. The proposed system is made up of two major components: the first is the hardware interface modules, where the end module receives data from the string combiner via an RS232 interface. Then it is enabled to scan, discover, and connect to the main module via AP.

Author (s) Details

T. J. Jeyaprabha
Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering Sriperumbudur, Chennai, India.

Dr. G. Sumathi
Department of IT, Sri Venkateswara College of Engineering, Anna University, India.

D. Sneha
Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering Sriperumbudur, Chennai, India.

C. Reshma
Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering Sriperumbudur, Chennai, India.

K. S. Sai Nykhil
Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering Sriperumbudur, Chennai, India.

View Book :-  https://stm.bookpi.org/NAER-V3/article/view/1856