Design and Development of an IoT-Based LPG Gas Leakage Detector for Households and Industries

Ahmed, Suza; Rahman, Mahboob; Razzak, Md. Abdur

doi:10.1109/aiiot58121.2023.10174377

Cited by 6 publications

(2 citation statements)

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“…It uses IoT technology that gets faster responses on LPG systems; this IoT passes alerts on gas leaks to avoid accidents; it uses a microcontroller device, a gas detector, the model activates preventive measures by buzzer, has a GSM module, a solenoid valve, a LED light for indication, an air extractor, gas sensor and a humidity-temperature sensor [5]. The IoT-based system of [12] is developed in four phases: data collection, hardware design, program coding, and system testing; this generates a tool to detect LPG leaks.…”

Section: Related Workmentioning

confidence: 99%

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IoT and Business Intelligence Based Model Design for Liquefied Petroleum Gas (LPG) Distribution Monitoring

Tandazo Espinoza,

Punina Cordova,

Tandazo Vanegas

2024

Preprint

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Gas leakage can occur for various reasons, including a gas leak in the distribution line, damaged regulators, service connection failures, fluctuations in inlet gas pressure, and other factors leading to millions in losses to the state. The objective is to develop a general and intelligent model for tracking and monitoring LPG distribution based on the Internet of Things and Business Intelligence technology. Devices such as sensors and actuators reduce risks and prevent accidents. IoT can also access automatic control of machines and infrastructure, and sensors’ data helps make intelligent decisions. The quantitative approach is used in the systematic review methodology based on the PRISMA statement; the architecture design is based on analytical research that studies the feasibility of a measure through empirical evidence; and the architecture description uses a qualitative approach. The Y.4908 Standard evaluates an IoT network’s interoperability, usability, and security. A targeted group of thirty IT professionals was surveyed to assess the Business Intelligence model. Forty scientific papers were selected for analysis. A model with IoT components and a four-level business intelligence system was found. At the overall average level, 49% strongly agree, 38% agree, 12% neither agree nor disagree, and 1% disagree. In other words, the model has an overall average approval rating of 87%.

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Section: Related Workmentioning

confidence: 99%

“…Other problems are: the leak detection system has certain drawbacks, long response time, lack of prevention mechanisms, and the installation of faulty or untested leak detection devices. [5]. As of 2022, Ecuador's LPG consumption was 14.4 million barrels, of which 12.7 million were imported and 1.7 million were produced locally [6].…”

Section: Introductionmentioning

confidence: 99%