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A study of information technology used in oil monitoring

机译:石油监测信息技术研究

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摘要

Oil monitoring is referred to as wear particle debris analysis and physical analysis of lubricants' properties. Information technology, such as database technology, image processing, expert system, data fusion and multi-agent system theories, etc. makes oil-monitoring procedures more intelligent. This paper introduces the development of some information systems such as management database, computer-aided wear particle analysis software used in oil monitoring. The basic principles and models of information technologies used in this field are presented. The development of IT as an integral element of an oil analysis-based condition monitoring system has been carried out in the authors' laboratory since 1986. Initially, the principal application of IT was to improve the data management and processing procedures. The second use of IT was in the development of a wear particle image processing system. The third aspect of utilizing IT is artificial intelligence. Finally, the application of IT-based network techniques is implemented. The progress in the application of IT in the authors' laboratory shows that the combination of information technology and oil monitoring can increase the speed of oil analysis, manage the information conveniently and obtain analysis conclusion more precisely in relation to practical application.
机译:油的监测被称为磨损颗粒碎片分析和润滑剂性能的物理分析。诸如数据库技术,图像处理,专家系统,数据融合和多智能体系统理论之类的信息技术使石油监控程序更加智能。本文介绍了一些信息系统的开发,如管理数据库,用于油液监测的计算机辅助磨损颗粒分析软件。介绍了该领域中使用的信息技术的基本原理和模型。自1986年以来,就已经在作者的实验室中进行了将IT作为基于油品分析的状态监视系统不可或缺的部分的开发。最初,IT的主要应用是改善数据管理和处理程序。 IT的第二个用途是开发磨损颗粒图像处理系统。利用IT的第三方面是人工智能。最后,实现了基于IT的网络技术的应用。作者实验室中IT应用的进展表明,将信息技术与油监控相结合,可以提高油分析的速度,方便地管理信息,并相对于实际应用更准确地获得分析结论。

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