The Disruptive Power of Machine Learning and OoT in Automation Industry

A. Bilgic
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Abstract

In the past decades the automation industry was evolving at modest pace, mainly driven by innovations in mechanical design and utilizing basic principles from physics or chemistry. What was already known was continuously improved and aspects like requirements for environmental and human protection increased over the years and were more and more formalized leading i.e. to complex procedures for safety designs. The innovations of the IT world which continuously gained speed especially over the last decade were taken over rather reluctantly. But recent trends show a growing push of IT technologies into every field of industrial application, frequently named as industry 4.0 or 4th industrial revolution. We will look at opportunities and threads created by the technological changes, touch preconditions for success and pitfalls for failure. Analyzing the past trends of both IT and industrial automation will allow us for some astonishing predictions for the next decade.
机器学习和OoT在自动化行业的颠覆性力量
在过去的几十年里,自动化行业以适度的速度发展,主要是由机械设计的创新和利用物理或化学的基本原理驱动的。已知的东西不断改进,环境和人类保护要求等方面多年来不断增加,越来越形式化,导致安全设计的复杂程序。IT界的创新不断加速,特别是在过去的十年里,人们相当不情愿地接受了它。但最近的趋势显示,IT技术越来越多地进入工业应用的各个领域,通常被称为工业4.0或第四次工业革命。我们将着眼于技术变革带来的机遇和线索,触及成功的先决条件和失败的陷阱。分析过去IT和工业自动化的趋势可以让我们对未来十年做出一些惊人的预测。
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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