Energy Operations and Maintenance Large Model

1. Reduced labor costs with a 22% increase in workforce efficiency; improved response speed, cutting fault resolution time by 60%; implemented predictive maintenance for early warnings 7–30 days in advance; and achieved an 85% boost in automated troubleshooting efficiency.

2. Enhanced asset performance, extending equipment lifespan by 15%; streamlined knowledge accumulation and reuse, achieving a knowledge reuse rate exceeding 30%; improved service quality, with service availability reaching up to 99.9%; and greater energy efficiency, boosting overall energy performance by 8%.

3. Enhanced business continuity, increasing from 99% to 99.5%; data-driven decision-making with DDEI targets exceeding 50%; improved customer satisfaction, with satisfaction surveys showing a 10% uplift; and full-stack, domestically developed technologies that ensure autonomous control and reliability.