Hall of Fame Asset Performance Award
Discover all winners and finalists of the previous Asset Performance 4.0 Award editions here.
Jury Prize 2023: Proactive detection of water leakages thanks to sensors
The project provides crucial data to manage 35,000 km of pipes. Measuring more means knowing more. And especially more targeted measurements: thanks to the new sensors search areas are smaller, making it possible to locate and repair leaks - including invisible ones - more efficiently. This allows De Watergroep to avoid losing large quantities of water and limit consequential damage, which is also good for customers. We proactively detect leaks and prevent sinkholes. Thanks to the replacement of the data loggers, we can also count on the data flowing through to our systems much more frequently.
Audience Prize 2023: VR 3D Crane Simulator for qualitative crane operator training
ArcelorMittal had difficulties recruiting potential crane operators, which proved to be a bottleneck profession. Measuring the agility or skills of the crane operators objectively is a difficult task. Training and preparing for emergency scenarios is next to impossible.
That’s why ArcelorMittal chose to make a ‘Crane Simulator’, using VR glasses and joysticks. One hall for the Steel Shop (ladles) and one hall for the Cold Rolling Mill (coils) are modelled in a 3D environment. This results in qualitative training of crane operators to improve their skill set following several scenarios in the simulator. Without impacting the running production, the new crane operator can improve their skill level completely autonomously following several scenarios in a safe environment in the simulator. Added bonus: On job fairs they can attract potential candidates with this high-tech material.
Winner: Data & AI Driven Plant Optimization
Sitech Services’ highly innovative digital solution enables businesses to apply condition-based monitoring strategies. The inhouse system provides a service dashboard that allows maintenance teams to get all the information they need about the condition of plant and machinery.
Plant Reliability Condition Monitoring & Prediction Dashboard
Saudi Aramco decided internally to develop a data-driven Plant Reliability Condition Monitoring & Prediction Dashboard based on the numerous data they had available. Today his helps them to make informed decisions, and increase equipment availability and reliability.
Remotive transformed their operations by developing their own app
This maintenance service company decided to develop their own application for this process to improve efficiency and save time. They partnered up with Appwise to help design the app and make it communicate with their ERP/CRM package.
Winner: Improve asset performance of our thermal fleet by the use of best-in-class analytics technology
To support the business performance of its thermal power plants ENGIE decided to invest in Robin Analytics in order to enhance it and transform it as the Group digital platform dedicated to thermal assets.
Critical asset monitoring applying ML, FFT based on edge and cloud computing
Siemens started working together with 3 major airports on modern technology. As a result, labor intensive & high risk surveys and unexpected downtime were reduced significantly.
Maintenance & Industrial major risks into a 4.0 context
The objective of Yara’s digitalisation strategy was to develop new sources of performance data and deploy methodologies and technology to measure and quantify plants performance in all transparency.
Winner: Re-engineered condition monitoring for the hot strip mill
Every hour of extra production means extra output for the hot strip mill. That’s why ArcelorMittal focused on increasing reliability for the heart of the world’s most innovative hot strip mill.
Prodigis: digitalizing safety for maintenance on railroad tracks
Remote Performance Management for Air Cooled Condensers
Optimizing the performance of an ACC, a critical part of the steam cycle, and performing digital condition based monitoring leads to substantial improvements in overall efficiency and reliability.