Design and implementation of IOT based Gas detection & fire extinguishing System

The protection of housesfrom thefire is a major challenge due to the growing population andgrowth of number of buildings. The gas detection and circuit breaking definitely will be the first step to reduce this problem. Furthermore it is more useful to provide much more security to the mines with less cost and without sacrificing the quality of equipment.The project presents a new way for securing the domestic and industrial buildings from causing the fire and providing the information to the user as soon as it detects the gas and fire. It also uses the IOT system, when identified the fire and informing the user through an application.As soon as the gas is detected the module turns off the nearby circuit board using H-bridge, so that nearby electrical devices would not cause any type of the causes for the fire. The usage of the low power devices would not consume much of the power. It also turns on the ventilator fan for exhausting of the gases.Using this kind of modules would enhance the opportunities for the safety of thebuildings and saving more lives.In this paper we have designed Internet of Things based system which enables the early detection of fire and gas leaks.

2014 ◽  
Vol 989-994 ◽  
pp. 4737-4741
Heng Wang ◽  
Bao Guo Wang ◽  
Shi Qiang Zhao ◽  
Xia Fu Lv

With the rapid development of Internet of things, IPv6 has been introduced into wireless sensor networks and widely used in many areas. It is significant to develop routing devices to connect wireless sensor networks and the Internet based on IPv6 technology. In this paper, we present a 6LoWPAN (IPv6 over Low power Wireless Personal Area Networks) border router scheme. The hardware design and software design are discussed and the experimental results demonstrate the feasibility of the router scheme. By using the proposed border router, the network can achieve end-to-end communications between 6LoWPAN nodes and IPv6 hosts in a universal method.

2020 ◽  
Vol 10 (2) ◽  
pp. 11
Davide Colaiuda ◽  
Iolanda Ulisse ◽  
Giuseppe Ferri

This paper presents the design and implementation of two front-ends for RF (Radio Frequency) energy harvesting, comparing them with the commercial one—P2110 by Powercast Co. (Pittsburgh, PA, USA) Both devices are implemented on a discrete element board with microstrip lines combined with lumped elements and are optimized for two different input power levels (−10 dBm and 10 dBm, respectively), at the GSM900 frequencies. The load has been fixed at 5kΩ, after a load-pull analysis on systems. The rectifiers stages implement two different Schottky diodes in two different topologies: a single diode and a 2-stage Dickson’s charge pump. The second one is compared with the P2110 by generating RF fields at 915 MHz with the Powercast Powerspot. The main aim of this work is to design simple and efficient low-cost devices, which can be used as a power supply for low-power autonomous sensors, with better performances than the current solutions of state-of-the-art equipment, providing an acceptable voltage level on the load. Measurements have been conducted for input power range −20 dBm up to 10 dBm; the best power conversion efficiency (PCE) is obtained with the second design, which reaches a value of 70% at 915 MHz. In particular, the proposed device exhibited better performance compared to the P2110 commercial device, allowing a maximum distance of operation of up to 22 meters from the dedicated RF power source, making it suitable even for IoT (Internet of Things) applications.

2021 ◽  
Vol 18 (4) ◽  
pp. 1186-1193
J. N. V. R. Swarup Kumar ◽  
D. Suresh

The efficient message routing is highly challenging in terms of low power and lossy networks (loT) for transmission of data with overhead and delay. The protocols used for routing need to be designed such that they should be working efficiently. Efficiency in calculated in terms of energy and delivery of packets. RPL protocol is also designed with the aim of making these two parameters efficient. Even then it contains drawbacks. Trickle algorithm is designed with a goal to reduce the drawbacks in RPL. Trickle algorithm is used in RPL protocols for creation of routes between nodes in the network with different intervals. Unfortunately, there exists some more downsides for the trickle algorithm, which made design of several algorithms inorder to analyse different drawbacks. In this paper, on analysing different types of trickle algorithms and locating the drawback in every algorithm, a novel algorithm is designed which helps in reduction of the drawbacks that are found. The description of this algorithm along with the simulation results done using Cooja 3.0 simulator is also discussed in this paper. The Simulation of the algorithm that is newly designed is done by assuming a network with different count of nodes and comparing the results with the previously introduced Trickle algorithms.

Thangamani M. ◽  
Ganthimathi M. ◽  
Sridhar S.R. ◽  
Akila M. ◽  
Keerthana R. ◽  

Purpose The purpose of this paper is to identify coronavirus contact using internet of things. The disease is said to be highly contagious with the contact of infected persons. Feared to be air-borne, droplets of body fluids can transmit the disease in a matter of hours. The predominant symptoms of the COVID-19 are high fever, cough, breathing problem, etc. Recent studies have demonstrated the evolution of the disease to hide its symptoms. As it is highly transmissible, this disease might spread at an exponential rate costing the lives of thousands of people. The chain of transmission has to be detected with utmost priority through early detection and isolation of infected people. Automated internet of things (IoT) devices can be used in design and implementation of a prediction scheme for reporting the health-care risks of the patients with various parameters such as temperature, humidity and blood pressure. Design/methodology/approach IoT is a configuration of multiple autonomous and embedded wireless devices for serving a purpose. Every object possesses an individual identity and will serve to register critical events as entries for future learning and decisions. IoT plays an inevitable role in medical industries, detection of vital signs of diseases and monitoring. Among other life-threatening diseases, a new pandemic is on rise among world nations. COVID-19, a novel severe acute respiratory syndrome virus originated from animals in December 2019 and is becoming a serious menace to Governments, despite serious measures of lockdowns. Findings In this paper, the authors defined an architecture of an IoT system to predict the Covid-19 disease by getting the data from the human through sensors and send the data to the doctor using mobile, computer, etc. The main goal is early health surveillance by predicting COVID-19. Accordingly, the authors are able to identify both symptomatic and asymptomatic patients, which will help in the early prediction of disease. Originality/value Using the proposed method, the authors can save the time of both patient and doctor by ensuring timely medical treatment and contribute toward breaking the transmission chain. In so doing, the method also contributes toward avoiding unnecessary expenses and saving human lives.

In India, banana is an important fruit. In this research, we designed and develop a precision agriculture system to monitor the various macronutrients and various crucial parameters to control and early detection of various diseases of banana crop using Wireless Sensor Networks (WSN) and Internet of Things (IoT). Developed precision agriculture system is used various sensors to sense and measure various micronutrients like Magnesium (Mg), Calcium (Ca), Sulfur (S), nitrite content in soil, ground water quality, crop growth, pest detection, crop on line monitoring, animal intrusion into the field and so on. It also measures the different parameters like change in weather, temperature, humidity, moisture changes in soil, quality and fertility of soil, various weeds, and level of water. Precision agriculture system implemented using advance sensors and improved technologies like WSN, IoT. Research experimental results show significant improvement in quality of banana fruit and overall production of banana crop. Before design and implementation we have carried out a detailed literature review on various approaches of precision monitoring system using Internet of Things (IoT). Proposed precision agriculture system can be used to automate and complete control of all farming processes. Our major focused is on monitoring macronutrients like Magnesium (Mg), Calcium (Ca) and Sulfur (S) parameters, to supply balance macronutrients using automatic action and early detection of diseases and control of Banana Crops System which will result to increase the productivity and quality of Banana products. This precision agriculture system keep farmers/users updated and empowers with minimum manual tasks.

2014 ◽  
Vol 1014 ◽  
pp. 333-338 ◽  
Xiao Dong Li ◽  
Guo Guang Rong ◽  
Yong Xin Zhu

As major areas in the world have been protected with surveillance information with the development of wireless communication technologies, underground mines are still hit by frequent accidents due to insufficient monitoring and sensing, which would be improved with implementation of Internet of Things (IOT). However, a low-power, high reliability wireless communication equipment integrated with personnel localization, underground gas monitoring and IOT functions has not been implemented to enable underground IOT. Having explored wireless technologies and underground communication technologies, we propose in the paper the design of a communication system incorporating wireless call, gas monitoring, personnel localization functions through the integration of ZigBee (IEEE802.15.4) and Ethernet. This system has been realized and tested under laboratory conditions. The system was accepted by China coal mines in principle for application in their coal mine production line.

2018 ◽  
Vol 14 (10) ◽  
pp. 155014771880683 ◽  
Ennio Gambi ◽  
Laura Montanini ◽  
Danny Pigini ◽  
Gianluca Ciattaglia ◽  
Susanna Spinsante

In recent years, Internet of Things technologies gained momentum in various application areas, including the Smart Home field. In this view, the smart objects available in the house can communicate with each other and with the outside world by adopting solutions already proposed for Internet of Things. In fact, among the challenges to face during the design and implementation of an Internet of Things–based Smart Home infrastructure, battery usage represents a key point for the realization of an efficient solution. In this context, the communication technology chosen plays a fundamental role, since transmission is generally the most energy demanding task, and Internet of Things communication technologies are designed to reduce as much as possible the power consumption. This article describes an Internet of Things–oriented architecture for the Smart Home, based on the long-range and low-power technology LoRa. Moreover, in order to enable the devices to communicate with each other and the outside world, the Message Queue Telemetry Transfer protocol is used as a domotic middleware. We show that LoRa, designed by having in mind the typical requirements of Internet of Things (i.e. low power consumption, sporadic transmission, and robustness to interference), is well-suited to also meet the need of more established home automation systems, specifically the low latency in message delivery. Interoperability among different devices may also be obtained through the Message Queue Telemetry Transfer midlleware.

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