TY - CONF A1 - Muñoz Gil, Hernán Darío T1 - MR4SafeOperations: Mixed reality system for training and supporting industrial plant personnel. N2 - Operation and maintenance tasks in industrial process plants are complex and safety-critical, often relying on heterogeneous documentation and limited contextual support for field personnel. This work presents MR4SafeOperations, a mixed reality–based system designed to assist operators during operation and maintenance activities through context-aware, hands-free guidance. Using a vacuum distillation sampling procedure as a case study, operational workflows are formalized with BPMN and structured according to ISA-88.1 principles. Process data, 3D plant models, P&IDs, and procedural information are integrated via standardized interfaces into a mixed reality application. The system enhances situational awareness, reduces cognitive load, and supports safer decision-making during plant operation. The results demonstrate the potential of mixed reality to improve safety, efficiency, and usability in industrial process environments. T2 - MR4B-Konferenz CY - Berlin, Germany DA - 17.07.2025 KW - Safety KW - Mixed Reality KW - Operation & Maintenance KW - Digital workflows PY - 2025 AN - OPUS4-65165 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Muñoz Gil, Hernán Darío T1 - Mixed Reality for Safe Operations: Connecting MR Devices to Process Automation and Documentation N2 - The industrial sector faces challenges in ensuring safety and efficiency of operation and maintenance tasks (OMT). These tasks involve manual interventions such as equipment inspections or sample extractions. OMT require workers to communicate with control rooms and follow strict operational protocols while managing physical and cognitive loads. Common challenges include safety risks, the difficulty of using safety gear, limited accessibility to information, inefficient communication, and high (human) error rates. While chemical plants traditionally rely on paper-based workflows to tackle the mentioned challenges, we present an approach that leverages digital checklists to model workflows, integrating them with industrial documentation and process automation systems. We combine these elements into contextualized workflows that are deployed in a Mixed Reality (MR) application allowing to support personnel with hands-free execution, real-time verification, and an MR-based human-machine interface (HMI). This integration enhances safety through automated system checks and MR-guided validation while reducing the cognitive load on personnel. We present an MR prototype based on a vacuum distillation sampling procedure that grants access to documentation, interfaces with process control systems, and manages workflows dynamically. Compared to conventional industrial checklists, our approach reduces errors by combining gamification, IT-based validation, and immersive task visualization while enabling hands-free task execution. As future work, we envision a generalized framework for rapidly incorporating new tasks, enhancing adaptability in industrial environments. This research paves the way for standardized MR solutions in chemical plant operations, ultimately improving efficiency, safety, and workforce engagement. T2 - Process Engineering and Materials Technology (PEMT) CY - Frankfurt am Main, Germany DA - 10.11.2025 KW - Safety KW - Mixed Reality KW - Operation & Maintenance KW - Digital workflows KW - Process control system PY - 2025 AN - OPUS4-65156 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -