Advanced sensor systems for theapplication of LIME technologies in the process industry: a review

Manuel V. Heitor
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引用次数: 4

Abstract

Modern computer-integrated manufacturing and engineering (CIME) technologieshave been developed and implemented to improve plant and process design, measurement and control design, and plant operation, together with the economic optimization of flow processes. Almost irrespective of which approach is selected for obtaining these results, success or otherwise is based on some process measurements, involving predominantly either temperature, pressure or flow. Optical sensors are often being adopted for these tasks not only because of their non-intrusive nature, but also in view of their reliability, together with their high response speed, intrinsic resolution and increasing ruggedness. In addition, the development of new measurement capabilities such as easy adjustment for operating range, compensation for effects of environmental conditions and self-diagnosis, has given a considerable level of “intelligence” to current sensors, which are smarter, smaller and cheaper than ever before.

This paper reviews and discusses the implementation of advanced sensor systems for onlinemeasurements of process streams with emphasis on hot, dirty, hostile and multiphase environments. The requirements for the integration of the information from the sensors in a CIME environment are considered, taking into account the different levels of automation of typical processes. Novel methodologies, such as fiber-optic sensors, semiconductor materials, image processing and data analysis are discussed, as well as the use of "intelligent" instruments as part of the push towards higher quality.

在过程工业中应用LIME技术的先进传感器系统:综述
现代计算机集成制造与工程(CIME)技术已经被开发和实施,以改善工厂和工艺设计,测量和控制设计,以及工厂操作,以及流过程的经济优化。几乎不管选择哪种方法来获得这些结果,成功与否都是基于一些主要涉及温度、压力或流量的过程测量。光学传感器经常被用于这些任务,不仅因为它们的非侵入性,而且考虑到它们的可靠性,以及它们的高响应速度、固有分辨率和日益增强的坚固性。此外,新的测量能力的发展,如易于调整工作范围,补偿环境条件的影响和自我诊断,已经给当前的传感器提供了相当程度的“智能”,这些传感器比以往任何时候都更智能,更小,更便宜。本文综述和讨论了用于过程流在线测量的先进传感器系统的实现,重点是热、脏、恶劣和多相环境。考虑到典型过程的不同自动化水平,考虑了在CIME环境中集成来自传感器的信息的要求。新方法,如光纤传感器,半导体材料,图像处理和数据分析进行了讨论,以及使用“智能”仪器作为推动更高质量的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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