Self-Monitoring, Self-Healing Biomorphic Sensor Technology

A. Richardson, D. Cheneler
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引用次数: 2

Abstract

The deployment of autonomous sensors within electronic systems for both existing and emerging markets requires an increase in the reliability, security and dependability of the associated data generated. The availability of intelligent sensors that can self-adapt and ultimately self-heal would be a key step towards this objective. This paper presents ideas associated with the utilisation of sensor self-test principles and software algorithms able to generate sensor prognostics and drive adaptation, compensation and self-healing functions. Major initiatives supported both within Europe and further afield to migrate processing power to the “Edge”, deploy 5G technologies and integrate Artificial Intelligence across the system hierarchy provide technological platforms to deliver many of these concepts. An example associated with simple printed electrodes targeting corrosion detection and potentially the detection of hydrogen is presented in the context of a step towards full biomorphic capability.
自我监测、自我修复生物形态传感器技术
在现有和新兴市场的电子系统中部署自主传感器需要提高相关数据的可靠性、安全性和可靠性。能够自适应并最终自我修复的智能传感器的可用性将是实现这一目标的关键一步。本文提出了与利用传感器自测原理和软件算法相关的想法,这些算法能够产生传感器预测并驱动适应、补偿和自愈功能。在欧洲和更远的地方支持将处理能力迁移到“边缘”、部署5G技术和跨系统层次集成人工智能的重大举措,为实现许多这些概念提供了技术平台。在迈向完全生物形态能力的背景下,提出了一个与针对腐蚀检测和潜在氢检测的简单印刷电极相关的示例。
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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