Development of LPG Leak Detection System Using Instant Messaging Infrastructure Based on Internet of Things

Title

Development of LPG Leak Detection System Using Instant Messaging Infrastructure Based on Internet of Things

Subject

Petroleum industry
Gasoline
Leak detection
Software testing
Liquefied petroleum gas
Internet of things

Description

Developments of technology along with human work is growing, making the role of technology as an optimization effort in helping human work is needed. One of the technologies that is developing is Internet of Things or commonly abbreviated as IoT. Utilization of the Internet of Things is also very helpful in remote monitoring systems. As one form of utilization is a remote detection system for Liquefied Petroleum Gas (LPG) leaks in the kitchen of a household, restaurant or industry so that owners can take early prevention in the event of a leak in the room and are able to provide early warning of LPG leaks when left traveling. The system is developed through four stages, starting from data collection, hardware design, writing program code and system testing so as to produce an IoT-based LPG leak detection tool, where this tool is able to detect and send early warning messages when LPG leaks either through telegram messages or buzzers installed on the device. Through the fuzzification process, the device categorizes the LPG concentration status from two categories into three categories, namely in safe condition with a value of 0 - 247 ppm, risk with a value of 248 - 747 ppm and dangerous with a value of 748 ppm. 2021 IEEE.
147-150

Creator

Kholil, Moch.
Ismanto, Ismanto
Akhsani, Rafika

Publisher

1st International Conference on Electrical and Information Technology, IEIT 2021, September 14, 2021 - September 15, 2021

Date

2021

Type

conferencePaper

Identifier

10.1109/IEIT53149.2021.9587414

Citation

Kholil, Moch., Ismanto, Ismanto, and Akhsani, Rafika, “Development of LPG Leak Detection System Using Instant Messaging Infrastructure Based on Internet of Things,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/29135.

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