PRE-CONFERENCE WORKSHOP A -  26 June 2023 AM

Best Practices for Using Data to Inform Maintenance Decisions & Planning

This 4-hour workshop takes place from
09:00 to 13:00 on Monday, 26 June 2023

This half-day training workshop will provide rail maintenance engineers and data experts with the knowledge and skills to make informed decisions from vast quantities of data generated from rail sensors. The focus will be on utilising the data, rather than the gathering phase. The workshop will cover techniques for data pre-processing, analysis, case studies and best practices for using data to inform maintenance decisions. Participants will also be able to apply their learning through hands-on exercises using real-world datasets. The workshop will provide a collaborative learning environment and a discussion and Q&A session to ensure that all participants can fully understand the concepts presented.

Participants will also apply their learning through hands-on exercises using diverse condition-based datasets. The emphasis of the workshop is on how to make decisions in the real world from optimised workflows and processes. The target audience is rail maintenance engineers, senior managers as well as data specialists.

Scope of the workshop

• Overview of data sources and types generated from rail sensors
• Techniques for data pre-processing and cleaning
• Methods for data analysis, such as statistical analysis, machine learning and predictive modeling
• Case studies and best practices for using data to inform maintenance decisions
• Hands-on exercises using real-world datasets
• Discussion and Q&A session

 

PRE-CONFERENCE WORKSHOP B - 26 June 2023 PM

Best Practice Use Of The Latest Training Tools For The Rail Maintenance Workforce

This 4-hour workshop takes place from
13:30 and 17:30 on Monday, 26 June 2023

This half-day workshop will introduce maintenance engineers to the latest technologies for improving the training process for the rail maintenance workforce.

The workshop will cover Virtual Reality (VR), Augmented Reality (AR), and virtual modeling software, as well as other relevant training technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Digital Twin technology, and gamification. Participants will have the opportunity to experience each training technology through hands-on demonstrations and interactive simulations. The workshop will provide a collaborative learning environment and a discussion and Q&A session to ensure that all participants can fully understand the concepts presented. The workshop aims to improve the productivity of the training process while also making the training itself more effective for decision-making

Scope of the workshop

• Introduction to the importance of adopting new training technologies in the rail maintenance industry
• Overview of Virtual Reality (VR) and its applications in rail maintenance training
• Hands-on demonstration of VR in the depot: a virtual tour of the rail maintenance facility, with interactive simulations for practising various maintenance tasks
• Discussion of the benefits and challenges of using VR for rail maintenance training
• Introduction to Augmented Reality (AR) and its applications in rail maintenance training
• Hands-on demonstration of AR in the depot: using AR technology to overlay digital information on the physical environment, for enhanced training and decision-making
• Discussion of the benefits and challenges of using AR for rail maintenance training
• Overview of virtual modelling software and its role in rail maintenance training
• Hands-on demonstration of virtual modelling software: creating a virtual model of the rail maintenance facility and using it for scenario-based training and decision-making
• Discussion of the benefits and challenges of using virtual modelling software for rail maintenance training
• Introduction to other relevant training technologies:
      -     Artificial Intelligence (AI) for predictive maintenance and real-time decision-making
      -     Internet of Things (IoT) for monitoring and collecting data from rail sensors
      -     Digital Twin technology for creating virtual models of rail assets and infrastructure
      -     Gamification for engaging and motivating maintenance workers
• Discussion and Q&A session