Leakage detection in a gas pipeline using artificial neural networks based on wireless sensor network and Internet of Things

Rahmati, Mohsen; Yazdizadeh, Honeyeh; Yazdizadeh, Alireza

doi:10.1109/indin.2017.8104850

Cited by 20 publications

(11 citation statements)

References 15 publications

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“…This system is made dependable for common people to use in their daily lives. [2]This project was designed to take IOT to next level in Artificial Intelligence .It is a smart real time gas leak senor monitoring system that was made with the future view of helping industries at low cost. [3] The detector senses gas leak the buzzer alarm is raised as an alert .…”

Section: Introductionmentioning

confidence: 99%

LPG Gas Leakage Detector with RC - Car: Using Arduino

Sharma

Dhotay²

2022

IJSRCSEIT

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Gas Leakage which has caused tremendous Industrial and human loss, which is a threat to human lives. To prevent such accidents a Gas Leakage detector is much needed. To overcome this Problem we have introduced an Arduino based LPG Gas Leakage Detector which will detect the Hazardous Gas Leakage with the use of a Sensor. Advantage of this system is It can be used anywhere it is safe and works with efficiency. A Gas Sensor can be used in Industries as well as households, restaurants, service stations, cars, storage tanks , etc. To sense the Gas Leakage it is attached to an alarm circuit that gives us an alert to the operators through buzzer sound in the area where the Gas Leakage is occurring. One main motive about introducing this IOT model is to promote smart homes and industries.

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Section: Introductionmentioning

confidence: 99%

LPG Gas Leakage Detector with RC - Car: Using Arduino

Sharma

Dhotay²

2022

IJSRCSEIT

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“…Regarding the IoT usage in gas production, real-time monitoring application is utilised to detect where and when exactly the leakage in gas pipelines are (Toma & Popa, 2018). Infrared sensing is used to monitor through the video camera throughout the pipeline (Rahmati et al, 2017). For food processing, IoT systems including gas, temperature and humidity sensors are utilised to monitor the food conditions in real time to maintain quality (Popa et al, 2019).…”

Section: Iot Usage In Manufacturing Industriesmentioning

confidence: 99%

“…For gas producers, the pipeline network is critical, as it is involved in almost every process in the factory and is a means of transportation from the finished process to the customer; in general, the pipeline is considered as being the most economical mean of gas transportation (Rahmati, Yazdizadeh, & Yazdizadeh, 2017). Normally, the pipelines run through deserts, across mountains or under water; all these transportation methods could damage the pipeline, leading to leakage which could potentially cause an explosion (Li, Yang, & Gua, 2020;Rahmati et al, 2017). Therefore, being able to detect faults within the gas pipeline is of paramount importance (Rahmati et al, 2017).…”

Section: Iot Usage In Gas Productionmentioning

confidence: 99%

“…Normally, the pipelines run through deserts, across mountains or under water; all these transportation methods could damage the pipeline, leading to leakage which could potentially cause an explosion (Li, Yang, & Gua, 2020;Rahmati et al, 2017). Therefore, being able to detect faults within the gas pipeline is of paramount importance (Rahmati et al, 2017).…”

Section: Iot Usage In Gas Productionmentioning

confidence: 99%

“…However, physical access to these areas is still limited (Rahmati et al, 2017). The natural gas production firm typically faces challenges regarding outdated and inefficient practices and the use of outdated software used during the pipeline network process (Miao, Zhou, & Ghoneim, 2020).…”

Section: Iot Usage In Gas Productionmentioning

confidence: 99%

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IoT adoption in SME manufacturers in Thailand

Wungcharoen¹

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The Internet of Things (IoT) is one of the most recent information communication technology (ICT) phenomena to have had a global impact upon wireless telecommunications. Due to the benefits of the IoT in terms of developing communication and connectivity between devices, businesses are thus able to enhance profitability, reduce operational costs, become customer-centric and eventually gain sustainable competitive advantage. Identifying and understanding the factors that affect the IoT adoption is critical in order that either the success or failure of an organisation can be determined. The existing literature, however, does point to a knowledge gap regarding IoT adoption in the manufacturing SME sector, in particular within developing countries. This study examines factors that affect IoT adoption within manufacturing SMEs in Thailand and provides further insights into those factors and their interaction. The theories of technology adoption, such as diffusion of innovation and technology organisation environmental framework, form the theoretical underpinnings of this thesis. Drivers and barriers, or factors, which promote or hinder IoT adoption respectively are of particular relevance. The research adopts a qualitative approach by conducting multiple case studies within 10 manufacturing SMEs in Thailand. Both within-case and cross-case analysis are used to conduct these case studies and this leads to the identification of common themes and categories impacting IoT adoption. The study finds that relative advantage, compatibility, business partner influence, trialability, top management support, organisational structure, technology support from vendors, observability, cost, and security and privacy are perceived to influence the decision of whether adoption of the IoT by Thai manufacturing SMEs is undertaken. Within these 10 factors, relative advantage and business partner influence are found to be the most significant drivers, whereas compatibility is found to be the most significant barrier. This study makes both practical and theoretical contributions to the growing body of knowledge regarding IoT adoption. The major theoretical contribution of this thesis is that it provides increased insight into the usage, applications and factors that affect the decision to adopt the IoT within the context of manufacturing SMEs in Thailand. The study presents a conceptual framework that highlights the factors affecting adoption of the IoT in manufacturing SMEs. The major practical contribution of this study is the information provided for policymakers, managers in organisations, technology consultants, and vendors in order that they may effectively implement and accelerate IoT development and utilisation among Thai manufacturing SMEs. Managers of SMEs could use this study as a reference upon which to base effective decision-making with regard to whether to adopt the IoT or not, and also for developing policies that could guide further adoption. Furthermore, IT vendors/consultants could use this study to gain productive insight into the specific problems and requirements faced by manufacturing SMEs when they are thinking about adopting IoT systems, thus enabling IT consultants to design suitable strategies for the widespread adoption of the IoT. This study is the first to examine IoT adoption in the context of manufacturing SMEs in Thailand and its findings will be relevant in other, similar developing world economies.

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