Open AccessResearch on Underhole Field CMS Based on AI Communication
Author(s) -
Xin Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2074/1/012027
Subject(s) - variety (cybernetics) , field (mathematics) , computer science , isolation (microbiology) , petroleum industry , risk analysis (engineering) , systems engineering , engineering , business , artificial intelligence , mathematics , pure mathematics , microbiology and biotechnology , biology , environmental engineering
With the rapid development of computer technology, AI technology is applied to various industries, especially the communication industry. Through AI, communication can automatically identify and screen useful information, which will provide more accurate information decision-making for the system. Oil exploitation is a very dangerous work, which requires real-time monitoring of the working state of the system such as wind, water, gas and so on. Through the comprehensive detection of all kinds of information, mining enterprises can ensure the safety of the oil field, which can also ensure the safety of production. Although China’s oil exploration enterprises have many monitoring systems, which can detect a variety of information data. However, there are still many problems in these monitoring systems, such as isolation of each other, inflexibility of sensors, narrow range of data acquisition and so on. At the same time, due to the lack of comprehensive communication platform, the linkage of various production links in the oil well is poor. Therefore, we urgently need a comprehensive monitoring system, which can control the underground field information. Therefore, based on AI communication technology, this paper develops a comprehensive monitoring system.