DIGITAL TWIN MODEL IN CONTROL AUTOMATION WITH AUTOMATION STUDIO™ SIMULATION SOFTWARE Luigi Mazza (*), Dario Lizzio (**) (*) Department of Mechanical and Aerospace Engineering, Politecnico di Torino, TORINO, Italy (**) Thesis student of the MSc in Mechatronic Engineering, Politecnico di Torino, TORINO, Italy 1. INTRODUCTION In the industrial sector, the digitalization and simulation of automated systems are becoming increasingly important due to the growing need to develop systems that are more complex and efficient. In this context, the concept of Digital Twin has gained significant relevance in the fields of industrial automation and process digitalization. A Digital Twin is generally defined as a dynamic, virtual representation of a physical system that enables monitoring, analysis, and prediction of system behaviour through simulation tools. This technology is a pillar of Industry 4.0, providing new opportunities for process optimization, predictive maintenance, and the design of complex automated systems.
Automation Studio™ - From Engineering Your Systems to Effective Machine-Based Training (Las Vegas, NV, USA) – Originally published in Mining Industry News With tough times persisting in the mining industry, manufacturers and OEMs need to bring effective changes in their work process in order to increase productivity and reduce unnecessary costs. To achieve this goal, Famic Technologies recommends the implementation of tools that will optimize all aspects of a product/project’s lifecycle: system design, simulation, documentation, training, troubleshooting, etc.
New Block Diagram Module Widens the Simulation Scope of Automation Studio™ (Montreal, Quebec) Famic Technologies Inc. adds features in their Machine Knowledge Management software Automation StudioTM in response to customers’ needs. One of the main goals for version 6.2 was to expand the simulation capabilities by developing a block diagram module.
Exceeding Automation Training Requirements with Real-World Simulation (Montreal, Quebec) We are seeing an increase in demand for qualified technicians particularly within mechatronics and industrial automation. Schools who offer programs in these fields need to invest in large amounts of resources to train their students on the latest technologies used in these industries. Even with dedicated investment, students have difficulties understanding systems’ behaviours as they lack experimentation.
Enhance the Performance of Your Production Lines (Montreal, Quebec) Keep your Operations under Control To maximize their performance, manufacturers need to implement on an ongoing basis continuous improvement processes (CIP), and find ways to reduce waste. Several approaches may be considered. Lean management has been offering for several years an effective approach to optimize the planning of the logistic flow by reviewing the sequencing and time management of activities.
Centralize the Alarms (Montreal, Quebec) Managing efficiently Critical Situations From energy performance, service maintenance, flexibility on changes to finding comforting solutions for occupants, these are just a few of the growing requirements of management activities for industrial and commercial buildings. As a result, needs in building automation have increased, leading to a significant transformation of these activities by creating a centralized control for all buildings, aptly called the Building Management System platform (BMS). Even so, the various groups of equipment are controlled by different software applications specific to each manufacturer and to each technology. These software applications are generally not compatible with each other, even though the mechanical and electrical infrastructures are increasingly interdependent.
New Software Generation for Greener Energy Efficient Mechatronic System Design & Analysis (Montreal, Quebec) - White Paper published for the KSFC (Korean Society for Fluid Power and Construction Equipment) In the world of simulation software, many different approaches are used to obtain accurate hydraulic circuit simulation. Most of these tools model components as a set of mathematical equations parameterized with mechanical and geometric data for each component. They are able to simulate in depth specific functions of a circuit, however it becomes progressively a more demanding task to simulate more complex and complete systems.