传感器技术的最新进展

H.-R. Trankler, O. Kanoun
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引用次数: 35

摘要

传感器技术的最新进展是由高速和低成本的电子电路、新颖的信号处理方法和制造技术的创新进步所驱动的。这些领域的新发展的协同作用允许全新的方法增加技术产品的性能。创新的传感器结构设计允许自我监测或自我校准。传感器制造技术的快速发展使得系统和部件的生产具有较低的性价比。在微系统制造技术中,表面微加工和本体微加工日益受到重视。数字信号处理领域的潜力涉及改善传感器性能的新方法。多传感器系统可以大大有助于提高信息的质量和可用性。为此,基于数据融合技术的复杂信号处理方法对于测量值的精确计算或决策比通常使用的基于阈值的算法更有效。在这个最新的讲座中,我们概述了传感器技术领域的最新进展和未来发展趋势。我们专注于新的传感器结构,制造技术和信号处理方法在单个和多传感器系统。主要观察到的未来发展趋势是:传感器和组件的小型化,多传感器系统的广泛使用以及无线电无线和自主传感器的日益相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in sensor technology
The recent advances of sensor technologies have been powered by high-speed and low-cost electronic circuits, novel signal processing methods and innovative advances in manufacturing technologies. The synergetic interaction of new developments in these fields allow completely novel approaches increasing the performance of technical products. Innovative sensor structures have been designed permitting self-monitoring or self-calibration. The rapid progress of sensor manufacturing technologies allows the production of systems and components with a low cost-to-performance ratio. Among microsystem manufacturing technologies, surface and bulk micromachining are increasingly winning recognition. The potential in the field of digital signal processing involves new approaches for the improvement of sensor properties. Multi-sensor systems can significantly contribute to the enhancement of the quality and availability of information. For this purpose, sophisticated signal processing methods based on data fusion techniques are more effective for an accurate computation of measurement values or a decision than usually used threshold based algorithms. In this state-of-the-art lecture we give an overview of the recent advances and future development trends in the field of sensor technology. We focus on novel sensor structures, manufacturing technologies and signal processing methods in individual and multi-sensor systems. The predominantly observed future development trends are: the miniaturization of sensors and components, the widespread use of multi-sensor systems and the increasing relevance of radio wireless and autonomous sensors.
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