MATEC Web Conf.
Volume 100, 201713th Global Congress on Manufacturing and Management (GCMM 2016)
|Number of page(s)||6|
|Section||Part 3: Manufacturing innovation and Advanced manufacturing technology|
|Published online||08 March 2017|
The Design and Implementation of the Remote Centralized-Monitoring System of Well-Control Equipment Based on RFID Technique
1 School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China
2 Sichuan BOMCO Special Vehicle Manufacturing Co. Ltd., Guanghan 618300, China
3 Southwest Branch, Engineering Design Co., CNPC, Chengdu 610413, China
At present, in domestic for the management of well control equipment continue to the traditional way of nameplates identifies and paper-based registration, there are many issues like the separation of data information of device, easy lose, difficult query, confused management and many other problems, which will make the problem device into the well field, and then resulting in well control runaway drilling accident. To solve the above problems, this paper put forward to the integrated remote centralized-monitoring management mode of the well-control equipment. Taking the advantages of IOT technology, adopting the RFID technology, and combining with the remote transmission, this paper designs the remote centralized-monitoring system of well-control equipment based on RFID, which realizes the intelligent management of well-control equipment and meets the actual demand of the well-control equipment safe use and timely scheduling, and it has the ability of field application.
Key words: Internet of Things / RFID / Well-control Equipment / Remote transmission / Remote Centralized-monitoring Management
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.