Design of Smart Dust Sensor Node for Combustible Gas Leakage Monitoring

Spirjakin, Denis; Baranov, Alexander; Sleptsov, V. V.

doi:10.15439/2015f172

Cited by 11 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nivedhitha et al, presented a smart smoke and LPG detection system using the Texas EZ430-RF2500 (http://www.ti.com/lit/ug/slau227e/slau227e.pdf, accessed on 12 September 2012) wireless module [14]. An IoT-supported sensor node with an AT Mega32 and a platinum microwire is used to detect dust particles in a gas leak in its vicinity, as proposed by the authors of reference [15], where ZigBee is used as the last-mile communication link. Majder-Łopatka et al, discussed the effectiveness of electrochemical sensors embedded with mobile devices in fire-control applications [16].…”

Section: Introductionmentioning

confidence: 99%

AI-Enabled IoT Framework for Leakage Detection and Its Consequence Prediction during External Transportation of LPG

Dash,

Bandopadhay,

Samal

et al. 2023

Sensors

View full text Add to dashboard Cite

An accident during the transport of liquefied petroleum gas (LPG) via a tanker vehicle leads to the leakage of a flammable substance, causing devastation. In such a situation, the appropriate action with the shortest possible delay can minimize subsequent losses. However, the decision-making mechanism remains unable to detect the occurrence of an accident and evaluate its extent within the critical time. This paper proposes an automatic framework for leakage detection and its consequence prediction during the external transportation of LPG using artificial intelligence (AI) and the internet of things (IoT). An AI model is developed to predict the probable consequences of the accident in terms of the diameter of risk contours. An IoT framework is proposed in which the developed AI model is deployed in the edge device to detect any leakage of gas during transportation, to predict its probable consequences, and to report it to the remotely located disaster management team for initiating appropriate action. A prototype of the proposed model is built and its performance is successfully tested. The proposed solution would significantly help to identify efficient disaster management techniques by allowing for quick leakage detection and the prediction of its probable consequences.

show abstract

Section: Introductionmentioning

confidence: 99%

AI-Enabled IoT Framework for Leakage Detection and Its Consequence Prediction during External Transportation of LPG

Dash,

Bandopadhay,

Samal

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…By designing a pn-junction using the available diffusion layers, the photovoltaic cells can be integrated into such chips [2]- [8]. This enables integration of transistors (system block) and photovoltaic cells (energy source) on a chip [9], which is widely suitable for Internet of Things (IoT) applications [10], [11]. These layers are also hierarchical, enabling the formation of multiple pn-junctions in the depth direction.…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of Filterless RGB Sensor on Standard CMOS Process

2022

View full text Add to dashboard Cite

In this study, a color detection phenomenon that does not utilize color filters is evaluated via the standard CMOS process. The device comprises multiple pn-junctions stacked in the depth direction, which enable division of the light responses by different light absorptions with respect to wavelength. To eliminate the color filters, we use rectifiers to cut the reverse currents corresponding to the long-wavelength infrared (Ir) regions. Numerical simulations predict the dynamic range of the sensor as 160 dB after removal of the filters that can decrease this value. Applications based on the Internet of Things can be realized via mass production at low cost by eliminating the additional processes required to form the conventional color filters in front of the sensor. We evaluate the proposed device by both numerical simulation and experiment as well as clarify that the sensing phenomenon requires sufficient PWell thickness to separate the depletion regions for successful operation. The appropriate process parameters for the CMOS process are revealed, providing useful information for testing under a wide range of process conditions.

show abstract

“…This is a new technology and still has no established definition, while its application field remains open and versatile. This term applies to femtosatellites [2,3], for military sensors [4,5] and fuel gas leak sensor [6].…”

Section: Introductionmentioning

confidence: 99%

A promising approach to assessing anthropogenic impact on natural ecosystems for the sustainable functioning of cyber-physical systems

Ковалев

Лосев

Сарамуд

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The article deals with the problem of controlling the emission of gases and suspended particles of thermal power plants. It is a closed system with mutual influence of physical processes (fuel preparation, fuel combustion, flue gases and particulate matter removal) on computational processes (fuel quality control, fuel combustion completeness control, control of permissible emissions into the atmosphere) and the reverse influence of computational processes on physical ones (fuel preparation modes change, fuel combustion modes change, flue gases and suspended particles removal modes change). The fault tolerance and predictability improvement of such a cyber-physical system is associated with an increase of the data reliability from existing feedback loops and the multimodality of physical process control systems.

show abstract

Design of Smart Dust Sensor Node for Combustible Gas Leakage Monitoring

Cited by 11 publications

References 7 publications

AI-Enabled IoT Framework for Leakage Detection and Its Consequence Prediction during External Transportation of LPG

AI-Enabled IoT Framework for Leakage Detection and Its Consequence Prediction during External Transportation of LPG

Design and Evaluation of Filterless RGB Sensor on Standard CMOS Process

A promising approach to assessing anthropogenic impact on natural ecosystems for the sustainable functioning of cyber-physical systems

Contact Info

Product

Resources

About