EPISODE · May 28, 2026 · 1H 23M
Stop Commissioning Blind
from Abelara Ascent · host Abelara
The conversation covers the experience of building realistic simulators in Ignition, creating detailed tag structures, and the transition from accounting to industrial controls. It also delves into go-live events, post-implementation support, and the process of improving development processes and training interns. The discussion further explores training AI models, script development, and leveraging ChatGPT for project assistance. The conversation delves into the use of AI for script creation, fine-tuning, and debugging, as well as the process of simulator creation and manual execution. It also explores the evolution of automated code generation, simulated testing in the office, and physical testing on site. Additionally, it highlights the end user experience, including simulation in PLCs, testing and collaboration on site, and the importance of ownership and accountability. The conversation covers topics such as efficient panel conversion, simulating systems with Docker, exciting developments in simulation and automation, handling complex routing and indirection in PLCs, testing and simulation workflow, and DevOps principles and project management practices. The speakers discuss the benefits of rapid panel conversion, challenges with external integrators, automated OPC module creation, and the utilization of graph databases for complex systems. They also emphasize the importance of testing and simulating systems before commissioning and highlight the alignment of project management practices and complementary approaches to project management.TakeawaysBuilding realistic simulators in IgnitionTraining and managing teamsLeveraging AI models for project optimization AI-assisted script creation and fine-tuningAutomated code generation and simulated testingEnd user experience and ownership Efficient panel conversion processUtilizing Docker for system simulationExciting developments in simulation and automationChapters00:00 Building Realistic Simulators in Ignition06:04 Experience with Ignition and Python Scripting18:13 Improving Development Processes and Training Interns23:31 Training AI and Script Development29:16 Leveraging ChatGPT for Project Assistance45:34 Automated Code Generation54:47 End User Experience01:01:25 Closing the Gap with Axelon01:13:42 Testing and Simulation Workflow01:23:32 DevOps and Project Management
What this episode covers
The conversation covers the experience of building realistic simulators in Ignition, creating detailed tag structures, and the transition from accounting to industrial controls. It also delves into go-live events, post-implementation support, and the process of improving development processes and training interns. The discussion further explores training AI models, script development, and leveraging ChatGPT for project assistance. The conversation delves into the use of AI for script creation, fine-tuning, and debugging, as well as the process of simulator creation and manual execution. It also explores the evolution of automated code generation, simulated testing in the office, and physical testing on site. Additionally, it highlights the end user experience, including simulation in PLCs, testing and collaboration on site, and the importance of ownership and accountability. The conversation covers topics such as efficient panel conversion, simulating systems with Docker, exciting developments in simulation and automation, handling complex routing and indirection in PLCs, testing and simulation workflow, and DevOps principles and project management practices. The speakers discuss the benefits of rapid panel conversion, challenges with external integrators, automated OPC module creation, and the utilization of graph databases for complex systems. They also emphasize the importance of testing and simulating systems before commissioning and highlight the alignment of project management practices and complementary approaches to project management.TakeawaysBuilding realistic simulators in IgnitionTraining and managing teamsLeveraging AI models for project optimization AI-assisted script creation and fine-tuningAutomated code generation and simulated testingEnd user experience and ownership Efficient panel conversion processUtilizing Docker for system simulationExciting developments in simulation and automationChapters00:00 Building Realistic Simulators in Ignition06:04 Experience with Ignition and Python Scripting18:13 Improving Development Processes and Training Interns23:31 Training AI and Script Development29:16 Leveraging ChatGPT for Project Assistance45:34 Automated Code Generation54:47 End User Experience01:01:25 Closing the Gap with Axelon01:13:42 Testing and Simulation Workflow01:23:32 DevOps and Project Management
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Stop Commissioning Blind
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