Designing Proactive Safety Systems for Industrial Workers Using Intelligent Mechanisms

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Abstract

In the process of increasing industrial productivity, the aspect of worker safety plays an important but often neglected part. The following workshop paper discusses potential implementations of a priorly designed concept of a HumanAI based assistive and proactive safety system in a specific industrial use case. The goal is to address safety threats which occur during a polymer recycling process (shredding, melting, and producing plastic granulate) during human-machine interaction by encouraging a meaningful transition from the more traditional view of safety (Safety-I), to a more modern and flexible approach to safety (Safety-II), potentially applying intelligent systems. The principles of Safety-I and Safety-II as well as the STOP principle are explained alongside general considerations for safety and assistance systems. This introduction is followed by a detailed description and safety analysis of the chosen representative real-world use case before a transition in the STOP principle from Safety-I to Safety-II is proposed and illustrated in an in depth example. The contribution of this workshop paper is an introduction of Safety-II mechanisms to replace or enhance established Safety-I mechanisms in the STOP principle to increase worker safety.

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APA

Schobesberger, M., Huber, J., Grünberger, S., Haslgrübler, M., & Ferscha, A. (2022). Designing Proactive Safety Systems for Industrial Workers Using Intelligent Mechanisms. In ACM International Conference Proceeding Series (pp. 480–485). Association for Computing Machinery. https://doi.org/10.1145/3529190.3534775

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