Both selected! Two Gtrontec industrial AI achievements chosen as Hubei Province typical AI application scenarios
On October 16, the public notice period ended for the '2026 Hubei Province Second Batch AI Typical Application Scenarios Proposed Selection List' released by the Hubei Provincial Department of Economy and Information Technology. Gtrontec's 'Model-Data Fusion-Driven Manufacturing Scenario Agent Cluster' and the 'AI Carbon Management+' Energy-Carbon-Finance Smart Connection Platform jointly built with Hubei Zhongtan Carbon Asset Management were both selected. The two achievements focus respectively on industrial production decision-making and energy-carbon management, demonstrating Gtrontec's application capability to translate industrial AI technology into real business value.
The selected 'Model-Data Fusion-Driven Manufacturing Scenario Agent Cluster' addresses core challenges in complex industrial sites, such as difficult correlation of multi-source data, difficult understanding of process logic, and difficult reliable execution of intelligent decisions. Leveraging Gtrontec's Octopus Intelligent Brain industrial intelligent decision-making hub, it transforms long-accumulated process mechanisms, equipment knowledge, and expert experience into AI-understandable business relationships and rules through an industrial ontology. Large and small models work together to achieve real-time anomaly perception and complex root-cause reasoning. The Skills component turns engineers' handling methods into callable execution capabilities and links with industrial software to complete work order flow and closed-loop verification. For key process adjustments, the system sets up a manual confirmation mechanism to balance decision efficiency and production safety.
This technology system has achieved quantifiable results in real industrial scenarios. The digital employee for closed-loop production anomaly handling has shortened the average closure time of core anomalies from 2-4 hours to about 0.5 hours; the digital employee for quality analysis and optimization enables 7×24-hour yield monitoring and root-cause analysis, increasing analysis efficiency by more than 90%; the digital employee for equipment maintenance management has boosted maintenance efficiency by more than 70%. Business data and handling experience continue to flow back, driving iterative optimization of digital employee capabilities.
AI Carbon Management+ Energy-Carbon-Finance Smart Connection Platform
The other selected achievement, the 'AI Carbon Management+' Energy-Carbon-Finance Smart Connection Platform, integrates Gtrontec's industrial AI technology with Hubei Zhongtan Carbon Asset Management's carbon asset management capabilities, connecting energy monitoring, energy efficiency optimization, carbon accounting, and carbon asset operations. According to Hubei Daily, related digital and AI technologies have served 120 factories nationwide, helping save energy and reduce carbon emissions by more than 400,000 tons in total, and have achieved large-scale application in high-energy-consuming manufacturing fields such as pan-semiconductors, integrated circuits, and new displays.
This double selection reflects Gtrontec's technical accumulation from long-term deep involvement in industrial sites and its ability to understand industrial AI scenarios. From production decision-making to energy-carbon management, industrial AI is penetrating enterprises' core businesses, validating application value through quantifiable results, and providing practical references for AI upgrading in more complex industrial scenarios.
