The many facets of PdM: Battery manufacturer uses GenAI to power its data operations
The medley of predictive maintenance (PdM) strategies for improving machine health is growing larger and more powerful, whether using classic portable tools for non-critical asset inspection rounds and on-site problem verification and troubleshooting, or advanced technologies such as the IIoT, cloud, and AI and ML algorithms.
Leaders and analysts who go on record by documenting improvements gained from predictive maintenance initiatives provide a window into the immense potential of today’s enabling technologies. This article is one of seven diverse case studies that illustrate some of the many PdM methods and applications employed today.
The other case studies include:
- Analyst foresees AI/ML driving widespread adoption of prescriptive maintenance
- Oil and gas supermajor uses AI predictive analytics
- Midstream energy company uses IIoT strategy with integrated CMMS
- Consumer products manufacturer uses AI and ML models
- Self-driving truck company uses CMMS, BI tooling, and mobile app
- Tire manufacturer uses 24/7 wireless vibration monitoring system
- Mining company uses industrial edge data platform and SCADA system
Challenge: A thermal energy storage solution from Kyoto Group, called the Heatcube, is designed to help reduce the CO2 footprint for industrial process heat by capturing and storing energy from solar and wind sources. Kyoto needed a solution to power its data operations and enable its customers to optimize the operation and maintenance of Heatcube.
Solution: The company chose to integrate its cloud-based DataOps platform with the Cognite Data Fusion (CDF) industrial DataOps platform from Cognite. CDF’s use of Generative AI makes it easier for decision makers to access and understand complex industrial data. Kyoto’s solution also integrates real-time operational data from the Heatcube Battery Management System with various engineering data sources, facilitating product improvements by its engineering team.
Results: The first iteration of Kyoto's DataOps platform is “designed, tailored, and tested” to oversee operations of Heatcube installations at multiple locations. “The integration will empower our customers to streamline data management and cost optimize operations, enabled by a foundation of best-in-class preventive and predictive maintenance,” observes Gustavo Zaera, head of digital acceleration at Kyoto Group.
