Performance of offshore concrete platforms subjected to internal explosion following a gas leak

Author(s):  
Ganga K.V. Prakhya ◽  
V. Karthigeyan
Keyword(s):  
Gas Leak ◽  
2001 ◽  
Vol 55 (3) ◽  
pp. 5
Author(s):  
N. I. Ayzatsky ◽  
Yu. Ya. Volkolupov ◽  
A. N. Dovbnya ◽  
V. V. Zakutin ◽  
V.I. Kraus ◽  
...  
Keyword(s):  

CHIPSET ◽  
2020 ◽  
Vol 1 (02) ◽  
pp. 61-68
Author(s):  
Anisha Fadia Haya ◽  
Werman kasoep ◽  
Nefy Puteri Novani

This study aims to create a system that can monitor gas cylinders where this device consists of two systems, the first is a system to measure the weight of 3kg LPG gas cylinders to find the remaining gas which will then be displayed on the LCD, and the second the system gives a notification (alarm) if there is a gas leak via SMS. This system consists of Arduino UNO Microcontroller components, Load cell Sensor, MQ-6 Sensor, and SIM800L GSM Module. For overall system testing, the load cell sensor system can display a percentage of the weight value obtained an error rate of 0%, this indicates that the formula used in the program runs according to what is desired. In the MQ-6 sensor system can make the buzzer on at a value >= 700 ppm, the results of the buzzer can live when the detected gas value >= 700 ppm, this is as desired. In the sim800L gsm module system can send leak notifications, the results obtained that the module can send SMS notifications. And the system turns on the buzzer when the LPG gas has reached the minimum limit, the results obtained by the buzzer will sound when the remaining gas value <= 16%. Based on tests conducted on this system the system can measure the desired weight of the cylinder to look for the remaining gas in the form of a percentage and detect a gas leak and then send an SMS notification.


1990 ◽  
Vol 69 (6) ◽  
pp. 1034-1039
Author(s):  
V. N. Mineev ◽  
V. V. Koren'kov ◽  
Yu N. Tyunyaev

2011 ◽  
Vol 135-136 ◽  
pp. 1044-1050
Author(s):  
Yuan Peng Gong ◽  
Xiang Qian Ding ◽  
Xiao Dong Wang ◽  
Meng Yu

With the continuous progress and development of society , people's incomes increase greatly, and more attention is paid to improve the safety of their living conditions as well as the reliability of life quality. An expert system of Security Alarm Monitoring for Smart Home filed based on JESS is demonstrated in this paper, according to the tendency development of security market worldwide and the deep-level development of security technology. The security system proposed in the paper is based on the knowledge of Expert System, Embedded Technology and Wireless Sensor Technology.etc. It mainly includes Access Control Subsystem, Steal Precaution Subsystem, Fire alarm subsystem, Gas Leak Subsystem. etc. The expert system based on Jess rules engine is developed by Java. It is able to detect whether the family members and family situation in a safety state according to the various scenes within a family, then make timely reaction to non-security state and take appropriate measures to ensure security at home guided by a set of procedural rules .The effectiveness and feasibility of this system has be proved by the simulation results.


2000 ◽  
Author(s):  
Serdar H. Yönak ◽  
David R. Dowling

Abstract Leak testing is a critical manufacturing quality control process. Unintended leaks in pressurized or evacuated containers may be detrimental to consumers, manufacturers, and/or the environment. This paper describes a leak detection and localization technique based on photoacoustic sounds produced by scanning a carbon dioxide laser over leaks emitting a photoactive tracer gas, sulfur hexaflouride. Photoacoustic signals are recorded in a bandwidth from 3 up to 110 kHz by multiple microphones. From these recorded signals, the presence or absence of a leak may be deduced by comparison with background noise levels. When a leak is present, its location is determined from a simple model of the acoustic environment and matched field processing (MFP). Current results show that a gas leak of 1 cm3 per day can be detected and localized to within ±1 mm in a few seconds using four microphones placed 0.41 m from the leak location and an incoherent average of the MFP ambiguity surfaces at twelve signal frequencies.


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