Showing posts with label gas sensor. Show all posts
Showing posts with label gas sensor. Show all posts

Monday, 2 February 2026

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

 

Tuesday, 23 May 2023

Conductometric Assisted ZnO and Polypyrrole Composite Based N H3 Gas Sensor | Chapter 3 | Fundamental Research and Application of Physical Science Vol. 4

 Metal oxides are wonderful choices as base matters in emerging technologies engaged of Gas Sensors. In this work, an effort is created to prepare the ZnO and polypyrrole composite thin film utilizing sol-coagulate technique. Nanocomposite thins film was prepared utilizing spin coating on mirror substrates for ammonia vapor sensing. ZnO and polypyrrole sols were prepared utilizing sol-coagulate technique and thin films were adapted by using spin coater. The nanocomposite thin films were inclined by varying the percentage arrangement of ZnO and Polypyrrole. Structural, optical and semantic properties of the adapted films were done using XRD, UV-Visible and SEM studies. The films were alone prepared on Inter-Digital Transducers for vapor sensing requests. Gas sensing answer characteristics of the prepared sensor were acted using workshop. The sensing reaction of the prepared films is observed and erect to be maximum (~33) for the 70%PPy+30%ZnO film at a comparatively low operating hotness of about 150 °C. The prepared film is also proven by optical vapor sensing method i.e., Surface Plasmon Resonance (SPR). SPR vapor sensor works on the principle of record the change in refractive index of the sensing coating (70%PPy+30%ZnO) on exposure to aim ammonia gas.

Author(s) Details:

Ajay Pratap Singh Gahlot,
Department of Physics, Deshbandhu College, University of Delhi, India.

Please see the link here: https://stm.bookpi.org/FRAPS-V4/article/view/10586

Monday, 22 February 2021

Performance Analysis of Micro Heaters for Sensor Applications | Chapter 2 | Recent Developments in Engineering Research Vol. 11

This paper presents the architecture, simulation and analysis for sensor applications of Platinum micro-heaters. In order to investigate the thermal properties of individual electrically powered platinum micro-heaters, the Finite Element Method (FEM) analysis was used. Using COMSOL, the uniform distribution of heat and optimization of power usage for the micro-heaters were carried out by simulating various possible patterns. In the simulation, four separate micro-heater patterns were used and they are: (a) rectangular spiral, (b) diagonal slant, (c) double spiral and (d) complementary form of double spiral.

Author (s) Details

J. Kathirvelan
School of Electronics Engineering (SENSE), VIT University, Vellore, Tamilnadu, India.


R. Vijayaraghavan
School of Advanced Sciences (SAS), VIT University, Vellore, Tamilnadu, India.

View Book :- https://stm.bookpi.org/RDER-V11/issue/view/26