Recently, the Shandong Provincial Department of Industry and Information Technology officially released its first batch of 100 key "AI + Manufacturing" application scenarios for construction and 100 key vertical domain large models for promotion. Supported by the full-stack industrial AI capabilities of COSMOPlat, the platform's "AI Visual Inspection for Finished Home Appliances" and "AI Equipment Fault Diagnosis and Intelligent Maintenance" scenarios were selected for the key construction list, while the Tianzhi Industrial Large Model was included in the key vertical domain large models for promotion. Both the industrial AI large model technology and its scenario applications have received government recognition.
In recent years, Shandong has focused on the "AI + Manufacturing" main track, accelerating the construction of an industrial development ecosystem characterized by scenario-driven demand, intelligent product supply, precise supply-demand matching, and typical application implementation. The first batch of 100 key "AI + Manufacturing" application scenarios spans the entire chain of enterprise R&D, production, operation, and management, featuring strong targeting, high demonstration value, and significant economic benefits. Through large-scale cross-industry and cross-enterprise promotion, these scenarios aim to continuously improve the quality and efficiency of traditional manufacturing, accumulating momentum for long-term industrial transformation.
The "AI Visual Inspection for Finished Home Appliances" scenario addresses problems such as reliance on manual visual inspection for home appliance quality control, frequent missed detections and false alarms, and cumbersome defect tracing. By leveraging the AI visual inspection platform, it replaces manual inspection with standardized intelligent detection. This is expected to achieve full-chain implementation of image acquisition, defect annotation, model training, and edge reasoning, enabling automatic defect determination and data retention for quality traceability. This will enhance inspection accuracy and production line flow efficiency while reducing defect rates and labor costs.
The "AI Equipment Fault Diagnosis and Intelligent Maintenance" scenario focuses on pain points such as reliance on manual inspection of production line equipment, post-failure emergency repairs, significant downtime losses, and blind and inefficient maintenance. By combining AI algorithms with fault knowledge graph technology, it enables online collection of equipment operation data, real-time assessment of equipment health conditions, early prediction of potential hazards, precise fault cause tracing, automatic dispatch of maintenance work orders, and matching of maintenance plans. This helps enterprises shift from reactive fault repair to predictive maintenance, reducing maintenance materials and labor costs while stabilizing production line continuity.
Behind these high-value application scenarios lies the Tianzhi Industrial Large Model from COSMOPlat. As a representative achievement of Shandong's current efforts in AI large model technology development and industrial transformation, the first batch of key vertical domain large models for promotion demonstrates strong independent R&D and continuous iteration capabilities. Upon implementation, they can deliver multiple benefits such as energy conservation and carbon reduction, risk prevention and control, and production efficiency improvement, effectively adapting to the intelligent transformation needs of various industries.
As the first vertical domain large model based on an industrial internet platform in China, COSMOPlat independently developed the Tianzhi Industrial Large Model, integrating massive data, over 200 expert algorithms, and more than 110 intelligent agent development tools. This model has significant advantages in industrial scenario analysis, knowledge Q&A, and logical reasoning, and has been applied in over 40 scenarios across multiple industries, including home appliances and petrochemicals. It can assist industrial enterprises in process optimization, equipment management, and fault diagnosis, achieving cost reduction and efficiency improvement.
Taking this selection as an opportunity, COSMOPlat will continue to target key scenario demands in Shandong, driving scenario exploration and model cultivation. The goal is to create strategic, high-value "AI + Manufacturing" application scenarios and technological innovations, helping AI technology accelerate its integration into thousands of industries.