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引用次数: 0
摘要
信息技术(IT)与操作技术(OT)的融合不断加深,扩大了工业自动化系统中操作、安全和安保需求的相互关联性。由于缺乏全面的指导,风险管理人员通常会采用基于最佳实践的手动解决方案,或者依赖领域专家,而这些专家通常只能提供其特定专业领域的见解。鉴于这些领域之间错综复杂的相互作用,采用本体进行知识表示可能是捕捉所有必要关系和制约因素以实现有效风险管理流程的关键。本研究对过去五年发表的本体进行了系统的映射分析,重点关注至少一个与 OT 系统风险管理相关的领域。其目的是对论文进行分类,提供研究主题和贡献者的全景视图,识别潜在的出版模式,并在对这些本体进行全面审查的基础上确定研究途径。研究结果表明,研究兴趣相对稳定,大多数出版物介绍了本体应用的概念验证或初步实验结果。本研究为对全面的加时赛本体进行分类奠定了基础,并指出了可指导未来研究工作的未决问题。它为了解这一研究领域的当前最新进展提供了见解。
A Survey of Ontologies Considering General Safety, Security, and Operation Aspects in OT
The integration of information technology (IT) and operational technology (OT) is deepening, amplifying the interconnectedness of operational, safety, and security demands within industrial automation systems. Lacking comprehensive guidance, risk managers often resort to manual solutions based on best practices or rely on domain experts, who usually offer insights limited to their specific areas of expertise. Given the intricate interplay among these domains, employing ontologies for knowledge representation could hold the key to capturing all necessary relationships and constraints for effective risk management processes. This study conducts a systematic mapping analysis of ontologies published over the past five years, focusing on at least one domain relevant to OT system risk management. Its objective is to categorize papers, offer a panoramic view of research themes and contributors, discern potential publication patterns, and identify research avenues based on a comprehensive review of these ontologies. Findings indicate a relatively stable research interest, with most publications presenting proof of concepts or initial experimental results for their ontological applications. This study establishes a foundation for classifying comprehensive OT ontologies and pinpoints unresolved issues that can steer future research efforts. It offers insights into the current state-of-the-art within this research area.
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.