IoT and Business Intelligence Based Model Design for Liquefied Petroleum Gas (LPG) Distribution Monitoring
Year: 2024
Type: article
Abstract: Gas leakage caused by various causes poses significant risks to public safety. To address this problem, an intelligent model is proposed for the accurate monitoring of Liquefied Petroleum Gas (LPG) distribution based on the integration of Internet of Things (IoT) and Business Intelli- gence (BI) technologies. Through the use of sensors and actuators, it seeks to mitigate risks and prevent accidents by enabling automated control of devices and infrastructures. The PRISMA methodology was used to perform a systematic review and obtain general characteristics of the components. Then, the proposed model was evaluated according to Y. 4908 which addresses IoT network interoperability, usability and security, the evaluation with 30 IT professionals who examined the BI model. The results obtained by the professionals were encouraging and favorable. The proposal, which enables remote LPG monitoring, establishes service through a website, mobile app or SMS when it detects fluctuations in humidity, temperature and gas indi- cators, shuts off the flow of LPG and notifies immediately. The research led to the development of a model that combines an IoT component with a four-tier BI, demonstrating its effectiveness and acceptance in the professional arena. At the overall medium level, 49% strongly agree, 38% agree, 12% neither agree and 1% disagree. It is concluded that the model has an overall average level of approval of 87%.
DOI: 10.25046/aj090409
Institution: Politecnica Salesiana University
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4401819463