SaferAg - Engineering Safety in Emerging Agricultural Machinery: Risk Assessment, Data Needs, and Standards.

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
John M Shutske, Salah F Issa, Farzaneh Khorsandi, Michael L Pate, Serap Gorucu, Jean Walsh, Aaron M Yoder, Guy R Aby, Sihan Li
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Abstract

Highlights: Autonomous and highly automated agricultural machines require data-informed risk assessment integrated into design. Long-term incident data gaps for risk assessment necessitate alternative, creative solutions and data sharing. Consensus, voluntary engineering standards should guide safe design for all types of machines, but often lag behind rapid technological change. Broader awareness, access, and alignment of engineering design standards with emerging risks are essential for safe adoption.

Abstract: The introduction of highly automated and autonomous agricultural machinery has led to concerns about the availability of appropriate historical data for engineering design risk assessment to ensure protection from injury and other unexpected events. During the transition period from traditional farm tractors and machines to those more highly automated, industry-based, consensus standards remain a vital tool in the design process. This paper examines the role of risk assessment methods and consensus-based standards in improving safety for these technologies. It includes cited literature presented in the form of a primer or overview at the request of participants at the 2022 SaferAg workshop. It reviews key risk assessment concepts, common methodologies, and the specific data needs and limitations that arise when historical incident records are unavailable. The paper also outlines how standards are developed, their connection to regulation, and recent updates to ISO 18497 relevant to autonomous agricultural equipment. Key challenges include lag times in standard development, uneven access to standards, and gaps in awareness among both designers and policymakers engaged in new regulatory efforts. Addressing these challenges will require coordinated efforts in data collection, standard refinement, and stakeholder education to ensure safe and effective deployment of emerging agricultural machine forms.

新兴农业机械的工程安全:风险评估,数据需求和标准。
亮点:自主和高度自动化的农业机械需要将数据知情的风险评估集成到设计中。风险评估的长期事故数据缺口需要替代的、创造性的解决方案和数据共享。共识,自愿的工程标准应该指导所有类型机器的安全设计,但往往落后于快速的技术变革。更广泛的认识、访问和工程设计标准与新出现的风险的一致性对于安全采用至关重要。摘要:高度自动化和自主农业机械的引入引发了对工程设计风险评估的适当历史数据可用性的担忧,以确保免受伤害和其他意外事件的影响。在从传统农用拖拉机和机械向高度自动化、以工业为基础的机器过渡期间,共识标准仍然是设计过程中的重要工具。本文探讨了风险评估方法和基于共识的标准在提高这些技术的安全性方面的作用。它包括应2022年SaferAg研讨会参与者的要求以入门或概述的形式提出的引用文献。它回顾了关键的风险评估概念、常用方法,以及在无法获得历史事件记录时产生的特定数据需求和限制。本文还概述了标准是如何制定的,它们与法规的联系,以及与自主农业设备相关的ISO 18497的最新更新。主要挑战包括标准制定的滞后时间、标准获取的不平等以及参与新监管工作的设计者和政策制定者之间的意识差距。应对这些挑战需要在数据收集、标准完善和利益相关者教育方面进行协调努力,以确保安全有效地部署新兴农业机械形式。
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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来源期刊
Journal of Agricultural Safety and Health
Journal of Agricultural Safety and Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.50
自引率
20.00%
发文量
10
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