An Integrated Simulation-Based Solution for Operator Effectiveness

Toro, Rodrigo; Ortiz, José Manuel Vera; Zamora, Claudio

doi:10.3182/20130825-4-us-2038.00056

Cited by 4 publications

(1 citation statement)

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“…For example, in article [13], a virtual reality collaborative planning simulator with methods for the three machines based on a multi-agent system is described. There are several types of training systems in the industry, such as the operator training simulator (OTS) [14,15]. In other words, it is a process control training system or a personal skills training system (pit management trainer, drilling rig trainer, etc.)…”

Section: Introductionmentioning

confidence: 99%

A Simulator for Educating the Digital Technologies Skills in Industry. Part One. Dynamic Simulation of Technological Processes

2021

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Digital technology is being introduced into all areas of human activity. However, there are a number of challenges in implementing these technologies. These include the delayed return on investment, the lack of visibility for decision-makers and, most importantly, the lack of human capacity to develop and implement digital technologies. Therefore, creating a digital training simulator for the industry is an actual task. This paper focuses on the first step in creating a digital training simulator for the industry: developing a dynamic process model. The process chosen is flotation, as it is one of the most common mineral processing methods. The simulation was performed in AVEVA Dynamic Simulation software. The model is based on a determination of reaction rate constants, for which, experiments were conducted on a laboratory pneumomechanical flotation machine with a bottom drive. The resulting model was scaled up to industrial size and its dynamic properties were investigated. In addition, the basic scheme of a computer simulator was considered, and the testing of the communication channels of a dynamic model with systems, equipment and software for digitalizing was conducted. The developed model showed acceptable results for its intended purpose, namely, an exact match to the technological process in terms of time. This helps to account for inertia and a fast response on all tested communication channels, as well as being acceptable for the real-time simulation speed of the solver.

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Section: Introductionmentioning

confidence: 99%

A Simulator for Educating the Digital Technologies Skills in Industry. Part One. Dynamic Simulation of Technological Processes

2021

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Control systems: People, engineering, and business

Hearns

2020

Adv Control Appl

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It is natural for control engineers to focus on engineering however this is never an isolated activity. The engineering must proceed while considering business objectives and will involve people from different disciplines and technical experience. The viewpoints and objectives of the people supplying automation and those using it may differ, providing additional engineering challenges. This paper discusses a typical process industry automation project over the complete lifecycle and from the perspectives of both the supplier and buyer. The phases: tendering, design, testing, commissioning, and completion are described with an emphasis on the control challenges facing engineers. The roles that process models play in making good engineering and business decisions in all phases of the project are highlighted. The technical and business challenges before control design commences are shown. The paper encourages control engineers to consider design objectives that look beyond performance and include efficient commissioning, ability to reconfigure, and long‐term maintenance by non‐experts. People from other areas are also encouraged to consider the benefits and challenges that control systems bring. By considering the viewpoints of the customer with their production and commercial pressures at an early stage, the design and implementation should be more successful for all parties in the project.

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