Analysis of Soil Nutrients based on Potential Productivity Tests with Balanced Minerals for Maize-Chickpea Crop
Volume-3 | Issue-1

A Review on Low Power VLSI Design Models in Various Circuits
Volume-4 | Issue-2

Simulation of Electromagnetic Waves Propagation Using Matlab
Volume-6 | Issue-2

Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2

Test Automation of Motor Over Temperature Protection Extension Module of Drive
Volume-5 | Issue-2

Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets
Volume-4 | Issue-3

Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2

Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2

Abstractive Summarization System
Volume-3 | Issue-4

Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3

SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1

ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1

Abstractive Summarization System
Volume-3 | Issue-4

A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4

MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2

Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2

Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3

Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3

VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1

Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2

Home / Archives / Volume-5 / Issue-1 / Article-4

Volume - 5 | Issue - 1 | march 2023

Detection of Fire and its Control using Arduino and Proteus Open Access
Harsha Govindray Vernekar   173
Pages: 54-62
Cite this article
Vernekar, Harsha Govindray. "Detection of Fire and its Control using Arduino and Proteus." Journal of Electronics and Informatics 5, no. 1 (2023): 54-62
DOI
10.36548/jei.2023.1.004
Published
06 April, 2023
Abstract

Fire detection systems have been typically developed to detect fire and alert people to vacate that particular location. However, this research involves the design and development of a system for the detection and control of fire. To detect fire, temperature and smoke sensors are used. This proposed work is executed using Arduino and Proteus software. To control the working of sensors at the transmitter part, Arduino Uno is used. DC motor which is used as the controller, rotates upon the detection of over temperature and excess smoke, and then the alert signal is produced. In future, this DC motor can be replaced with a pump which would aid in controlling the fire.

Keywords

Temperature Sensor Gas Sensor Arduino Proteus

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here