Conceptual Development of Internet of Things Enabled Automatic Safety Valve for Fluids and Gases Leakage Detection

被引:0
|
作者
Balasubramanian, M. [1 ]
Devan, P.K. [1 ]
Hariharan, G.V. [2 ]
Murali, S. [3 ]
Karthick, K. [1 ]
机构
[1] Dept. of Mech. Engg., R.M.K. College of Engg. & Tech, Tamil Nadu, Chennai
[2] Dept. of Management Studies, Sri Sairam Inst. of Tech, Tamil Nadu, Chennai
[3] Dept. of Mech. Engg, Sri Sairam Inst. of Tech, Tamil Nadu, Chennai
来源
International Journal of Vehicle Structures and Systems | / 16卷 / 04期
关键词
Gas dynamics; Internet of things; Programming; Safety valve;
D O I
10.4273/ijvss.16.4.12
中图分类号
学科分类号
摘要
The article aims to overcome the accidents that occur due to the leakage of flammable gas and petroleum products by arresting the gas and oil using a solenoid. This work is based on Internet of Things (IOT) and it uses a Linkit board which is an open-source platform for prototyping wearables and IOT devices. A string of sensors is arranged across the pipeline at certain intervals based on the range of the sensor. By using wifi, signals are transmitted and the sensor used is a wireless one. It is programmed that the solenoid receives a power supply only if the sensor detects the leakage. The leakage can be detected and arrested using this method. It is an ingenious method to arrest the leakage and avoid accidents. A GPS location chip is installed through which the location of leakage can be identified. Message alerts and calls are sent regarding the leakage and the whole plant is made to shut down our product works on a closed-loop system, so the chance of error is avoided. © 2024. Carbon Magics Ltd.
引用
收藏
页码:557 / 560
页数:3
相关论文
共 42 条
  • [1] Automatic and Intelligent Integrated System for Leakage Detection in Pipes for Water Distribution Network Using Internet of Things
    Gupta, Shikha Pranesh
    Pandey, Umesh Kumar
    INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS (ICTIS 2017) - VOL 1, 2018, 83 : 516 - 523
  • [2] An Internet of Things (IoT) Approach for Automatic Context Detection
    Ojagh, Soroush
    Malek, Mohammad Reza
    Saeedi, Sara
    Liang, Steve
    2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2018, : 223 - 226
  • [3] Information Systems Security Management for Internet of Things: Enabled Smart Cities Conceptual Framework
    Din, Zarina
    Jambari, Dian Indrayani
    Yusof, Maryati Mohd
    Yahaya, Jamaiah
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS), 2020, : 44 - 51
  • [4] Food Safety Detection System Based on Internet of Things
    Zhang, Yongjun
    Zhang, Changfeng
    Wu, Shenggang
    Jun, Guofeng
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2017), 2017, 153 : 354 - 356
  • [5] Blockchain Enabled Federated Learning for Detection of Malicious Internet of Things Nodes
    Alami, Rachid
    Biswas, Anjanava
    Shinde, Varun
    Almogren, Ahmad
    Rehman, Ateeq Ur
    Shaikh, Tahseen
    IEEE ACCESS, 2024, 12 : 188174 - 188185
  • [6] Automatic Smart and Safety Monitoring System for Kitchen Using Internet of Things
    Pudugosula, Harika
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS), 2019, : 1174 - 1177
  • [7] Automated Machine Learning Enabled Cybersecurity Threat Detection in Internet of Things Environment
    Alrowais, Fadwa
    Althahabi, Sami
    Alotaibi, Saud S.
    Mohamed, Abdullah
    Hamza, Manar Ahmed
    Marzouk, Radwa
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2023, 45 (01): : 687 - 700
  • [8] Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment
    Vaiyapuri, Thavavel
    Algamdi, Shabbab
    John, Rajan
    Sbai, Zohra
    Al-Helal, Munira
    Alkhayyat, Ahmed
    Gupta, Deepak
    EXPERT SYSTEMS, 2023, 40 (05)
  • [9] RETRACTED: Development of intrusion detection system using machine learning for the analytics of Internet of Things enabled enterprises (Retracted Article)
    Raghavendra, S.
    Dhabliya, Dharmesh
    Mondal, Dipannita
    Omarov, Batyrkhan
    Sankaran, Krishnan Sakthidasan
    Dhablia, Anishkumar
    Chaudhury, Sushovan
    Shabaz, Mohammad
    IET COMMUNICATIONS, 2023, 17 (13) : 1619 - 1625
  • [10] Towards SDN-Enabled, Intelligent Intrusion Detection System for Internet of Things (IoT)
    Muthanna, Mohammed Saleh Ali
    Alkanhel, Reem
    Muthanna, Ammar
    Rafiq, Ahsan
    Abdullah, Wadhah Ahmed Muthanna
    IEEE ACCESS, 2022, 10 : 22756 - 22768