scholarly journals Electrical Complex for Autonomous Power Supply of Oil Leakage Detection Systems in Pipelines

2020 ◽  
Vol 1441 ◽  
pp. 012021
Author(s):  
V S Dobush ◽  
A A Belsky ◽  
A N Skamyin
2021 ◽  
Author(s):  
Hayeon Park ◽  
Rut Diane Cuebas ◽  
Kyoung-Soo We ◽  
Sung Hoon Kim ◽  
Chang-Gun Lee

Author(s):  
Shraddha Suresh Tanksale ◽  
A. S. Mali ◽  
B. T. Salokhe

The aim of this paper is to design Automated Unified Trolley System for LPG leakage detection with safety measures and Refill booking. This system will detect leakage of LPG and implement security against gas leak such as it will switch off the main power supply. It also switch on the exhaust fan automatically to decrease the gas concentration in air. This system will also help customer to regular update about weight of cylinder. So they are being not cheated by gas agency by providing less amount of gas. Also it is helpful to know about the status of gas. If gas in the cylinder is about threshold value, the system will immediately register gas booking through GSM technology by sending SMS to the distributor company and also send an alert to user at same time. By implementing this, the LPG provider can reduce the delivery delay time and helps to improve customer support service in transparent manner.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2548 ◽  
Author(s):  
Mutiu Adesina Adegboye ◽  
Wai-Keung Fung ◽  
Aditya Karnik

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles all over the world. The structures of the pipelines are designed to withstand several environmental loading conditions to ensure safe and reliable distribution from point of production to the shore or distribution depot. However, leaks in pipeline networks are one of the major causes of innumerable losses in pipeline operators and nature. Incidents of pipeline failure can result in serious ecological disasters, human casualties and financial loss. In order to avoid such menace and maintain safe and reliable pipeline infrastructure, substantial research efforts have been devoted to implementing pipeline leak detection and localisation using different approaches. This paper discusses pipeline leakage detection technologies and summarises the state-of-the-art achievements. Different leakage detection and localisation in pipeline systems are reviewed and their strengths and weaknesses are highlighted. Comparative performance analysis is performed to provide a guide in determining which leak detection method is appropriate for particular operating settings. In addition, research gaps and open issues for development of reliable pipeline leakage detection systems are discussed.


MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 113-124
Author(s):  
Adrienn Skrop

AbstractData leakage is an uncontrolled or unauthorized transmission of classified information to the outside. It poses a serious problem to companies as the cost of incidents continues to increase. Many software solutions were developed to provide data protection. However, data leakage detection systems cannot provide absolute protection. Thus, it is essential to discover data leakage as soon as possible. The purpose of this research is to design and implement a data leakage detection system based on special information retrieval models and methods. In this paper a semantic informationretrieval based approach and the implemented DATALEAK application is presented.


2013 ◽  
Vol 353-356 ◽  
pp. 3067-3071
Author(s):  
Jiao Na Jiao ◽  
Jian Jun Yu

Researches on leak detection system of gas network are significant to fault pipelines diagnosis. In the daily operation of city gas pipeline network, pipeline leakage is the most risky failure type. This paper attempts to review and analyze the existing gas network leak detection systems, meanwhile, design a new kind of leak detection system for daily monitoring and leakage detection of gas network. The greatest advantage of this system is to be able to do all kinds of leak experimental research, especially has great reference value for the leak detection task in colleges and universities.


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