Training with Workflow and Simulation Software
Even in the early days of computing, businesses were looking at computers as tools for setting up complex simulations. Some credit Keith Douglas Tocher for developing the first discrete-event simulation program in 1960. Dubbed the General Simulation Program, his program used a common structure to execute a range of simulations.
Today, computers can simulate any industrial application for use in training or for control and analysis of specific automation operations. And when it comes to training industrial workers in their tasks, the confluence of simulation and workflow management are growing closer together.
“For example, a digital workflow for a machine setup process will provide the steps to take in addition to knowledge that gives the employee instructions on how to complete a task,” he said. “If there is an issue with a step or the employee has a question, he or she can trigger a request that automatically gets routed, assigned, and actioned by a support team.”
Allen noted that, despite the similarities among industrial companies when it comes to their interest in workflow software, “we’re seeing different industries use workflows in different ways to solve challenges. Organizations with large complex supply chains are prioritizing workflows that improve communication and collaboration. Companies with a large population of front-line factory workers are using workflows to improve overall equipment effectiveness and productivity. And those with major technology investments are using workflows to identify and reduce cyber risk.”
According to Allen, companies such as Jabil, Siemens, and Owens-Illinois are just a few of the hundreds of companies that ServiceNow has helped in the industrial sector.
Pramesh Maheshwari, vice president and general manager of lifecycle solutions and services at HoneywellProcess Solutions, sees aging workforces and increasingly complex technologies as mega-trends putting pressure on industrial companies to improve their training programs. He said, “More than ever, industry needs training and development solutions that empower workers to improve plant performance, uptime, reliability, and safety. One of the best ways to do this is by simulating real-world environments and rare, but critical plant operation and maintenance scenarios to enable safe, hands on learning away from the hazards of a plant.”
Emerson, for example, is using simulation to train refinery workers in Canada. Working with the refinery, Emerson developed a digital twin of the refinery’s production control system integrated with a high fidelity simulator. Here, Emerson’s DeltaV Simulate virtual control system is used to mirror the refinery’s operator stations, engineering stations, process controllers, and system functions. Emerson’s Mimic software then simulates the processes, equipment, transmitters, and final control elements with operation based modeling objects.
This system provides trainees with virtual controls, graphics, and alarms identical to those in the refinery and allows the use of all Emerson DeltaV software for training and development without the refinery having to purchase duplicate control hardware and system licenses.
Another application benefitting from simulation is training workers on computer numerical control (CNC) machines, such as milling machines, routers, lathes, and laser cutters. Siemens offers a CNC training platform for creating and operating a CNC digital twin using the company’s Sinumerik 840D numerical control (NC) and NX software.
Trainees can operate an online digital twin of a CNC machine at their own PC as well as safely test and optimize NC programs without potentially damaging the real machine.
And Honeywell recently released an updated version of its Immersive Field Simulator, IFSR120, described as a virtual reality (VR) and mixed reality training tool based on a digital twin of a plant’s operations. With this technology, events like primary failures and switchovers, as well as cable and power supply failures, can be simulated.
Gamification
Though not a new concept, gamification is a trend
gaining ground in the simulation software arena. The
Merriam Webster
dictionary defines gamification as
the process of adding games or game-like
elements
to a learning a task to encourage participation.
According to 3D game tech company Juego Studios, gamification training simulations are a good way to package complex content into interactive visual modules. Trainees learn complex tasks within a game like environment. Realistic simulations make dry content interesting while enabling better understanding and memory retention.
Juego’s Unity3D game engine creates immersive 3D worlds that allow users to interact with complex equipment and large machines. The Unity engine allows development of cross-platform training applications for mobile devices, desktops, and/or web browsers. Training simulations can walk workers through safety procedures, operations, and maintenance, as well as repair and assembly processes.
As an example, Juego Studios developed a 3D simulation training module for employees working on drilling operations with RFID tagged pipes. The training module simulates the industrial environment with 3D images of equipment and tools. It also provides instructions for fitting RFID tagged pipes and drilling operations.
Another company in the simulation arena, SimutechMultimedia, uses gamification in its simulation software to train manufacturing workers. The company’s Simutech Training System teaches troubleshooting skills to workers operating and maintaining industrial control systems.
The system takes trainees through a six-step approach to troubleshooting circuits and helps them develop effective techniques for safely navigating industrial electrical controls, motors, and programmable logic controller (PLC) circuits. Workers can personalize training progress and managers can continuously monitor their development.
PG&E’s Uses Aveva’s Simulation-Based Operator Training System
With more than 15 million customers spread out over a 70,000 square mile area and served by more than 6,800 miles of gas transmission pipelines and 42,000 miles of gas distribution pipeline, Pacific Gas & Electric Co. (PG&E) has established a massive operations network. Because natural gas can be dangerous, operator skills are critical to ensuring that potentially dangerous situations are avoided or minimized as much as possible.
Patrick Rouanzoin, gas control operations specialist at PG&E, said the company is now using Aveva’s Operator Training System (OTS) simulation software to train and qualify its pipeline operators.
PG&E uses the Aveva OTS to “expose control room personnel to real life normal, abnormal, and emergency operating conditions,” said Rouanzoin during his presentation at the Aveva World 2022 event in San Francisco. Without a simulation-based OTS, “we have to train on real equipment—and that can be dangerous,” he added. “The OTS provides a safer training environment and increases reliability by minimizing loss of con tinuity of operations.”
According to Rouanzoin, prior to the deployment of the Aveva OTS, operators were trained for abnormal events by reviewing previous events. “But copies of tends, alarms, and operator actions only carry so much weight,” he said. “Even playback doesn’t put the operator in the moment. They can’t feel the experience as it would happen in real life. The OTS puts the person in a real event. The modeling of pipeline controls and alarms allows operators to see a line rupture in real time and what it would look like in terms of the incoming data, alarms, and trends.”
With the Aveva OTS, an operator can position simulated valves and start/stop compression in the same manner as they would with the real world system. Plus, they see the results of their actions.
“Operators can also learn what other areas of the system they should focus on depending on location of the event,” added Rouanzoin. “The entire control room staff can learn effective teamwork to minimize response time and coordinate efforts.”
Rouanzoin noted that PG&E has created a specific room for OTS training that is similar in layout to PG&E’s actual control room with multiple operator consoles “to get operators working together through an event.” He added that reception to the OTS from operators has been positive and PG&E is planning to use OTS situations to qualify operators.
“Our expectation is that the OTS will improve operator response in real emergencies and help eliminate second guessing,” said Rouanzoin.
Artificial Intelligence Comes to Workflow Communications
Artificial intelligence is being widely applied across industrial technologies—from quality inspections to data analytics. Now, Eschbach, provider of Shiftconnector software for communication between production shifts and teams, announces that artificial intelligence (AI) has been incorporated into Shiftconnector to improve its search capabilities.
Andreas Eschbach, CEO of Eschbach, said the addition of AI to Shiftconnector grew from seeing the difficulties operators in the chemical and pharmaceutical industries experienced when trying to gain access to operations data from five or more years ago.
The new Shiftconnector software “pre-processes inputs for use by AI to give better search results and expose workers to more targeted info,” said Eschbach. “Worker inputs into Shiftconnector are made machine readable for use by the embedded AI technology to enable advanced search capabilities across new and old shift data, meaning that the queries now run across years of knowledge records. This has helped workers see—not just data from the past few months—but from past several years to better understand issues. This essentially helps connect current crews with retired crews by making historical data more accessible.”
By retrieving the most relevant information to the task and presenting it to the worker, Eschbach said the software can accelerate operations and help teams recover from disruptions by immediately identifying appropriate fixes. This is enabled, not only by worker inputs into Shiftconnector, but also via data delivered from asset management software such as the Aveva PI System, Maximo, and SAP.
“Beyond identifying areas where workers need to focus, Shiftconnector also delivers directed tasks to optimize what workers should focus on based on real-time incoming data,” said Eschbach. “This helps workers identify areas for continuous improvement. As different teams work to develop unified responses, act on unexpected events, and maintain a cohesive workflow throughout multiple shifts, the natural language processing made possible by the inclusion of AI becomes essential.”
About the Author
David Greenfield, editor in chief
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