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智能传感器在生产线新纪元中的应用。

Smart Sensors Applications for a New Paradigm of a Production Line.

机构信息

Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

COMAU SpA, Via Rivalta 30, 10095 Grugliasco, Italy.

出版信息

Sensors (Basel). 2019 Feb 5;19(3):650. doi: 10.3390/s19030650.

Abstract

Industrial plants are going to face a deep renewing process within the Industry 4.0 scenario. New paradigms of production lines are foreseen in the very near future, characterized by a strict collaboration between humans and robots and by a high degree of flexibility. Such envisaged improvements will require the smart use of proper sensors at very different levels. This paper investigates three different aspects of this industrial renewing process, based on three different ways of exploiting sensors, toward a new paradigm of a production line. The provided contributions, offering various types of innovation and integration, are relative to: (i) a virtual sensor approach for manual guidance, increasing the potentialities of a standard industrial manipulator, (ii) a smart manufacturing solution to assist the operator's activity in manual assembly stations, through an original exploitation of multiple sensors, and (iii) the development of an advanced robotic architecture for a flexible production line, in which a team of autonomous mobile robots acts as a meta-sensor net supporting traditional automated guided vehicles. Accurate analyses of existing state-of-the-art solutions compared with the proposed ones are offered for the considered issues.

摘要

工业工厂将在工业 4.0 场景中面临深度更新过程。在不久的将来,预计会出现新的生产线范例,其特点是人类与机器人之间的紧密协作以及高度的灵活性。这种预期的改进将需要在非常不同的层面上明智地使用适当的传感器。本文基于三种不同的传感器利用方式,针对生产线的新范例,研究了这个工业更新过程的三个不同方面。所提供的贡献提供了各种类型的创新和集成,涉及:(i)用于手动引导的虚拟传感器方法,从而提高标准工业机器人的潜力,(ii)一种智能制造解决方案,通过对多个传感器的原始利用,协助手动装配站的操作人员的活动,以及(iii)用于灵活生产线的先进机器人架构的开发,其中一组自主移动机器人充当元传感器网络,支持传统的自动引导车。针对所考虑的问题,提供了对现有最先进解决方案与所提出解决方案的精确分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/060f/6387237/7d702957be43/sensors-19-00650-g001.jpg

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