Inspur's Intelligent Production Intellectual Asset Model Empowers Digital Transformation in the Printing Industry: A Case Study of Classic Printing

Inspur's Intelligent Production Intellectual Asset Model Empowers Digital Transformation in the Printing Industry: A Case Study of Classic PrintingAs the digital transformation of the manufacturing industry accelerates, industrial large models are becoming a key force driving the intelligent, lean, and green transformation of production processes. Inspur Intelligent Production, deeply integrating digital technologies with production manufacturing scenarios, has developed an intellectual asset model focused on production intelligence, aiming to provide industry-specific large models and intelligent applications for enterprise customers, enabling them to achieve digital transformation

Inspur's Intelligent Production Intellectual Asset Model Empowers Digital Transformation in the Printing Industry: A Case Study of Classic Printing

As the digital transformation of the manufacturing industry accelerates, industrial large models are becoming a key force driving the intelligent, lean, and green transformation of production processes. Inspur Intelligent Production, deeply integrating digital technologies with production manufacturing scenarios, has developed an intellectual asset model focused on production intelligence, aiming to provide industry-specific large models and intelligent applications for enterprise customers, enabling them to achieve digital transformation.

Classic Printing, a large private enterprise under the Jinbangyuan Group, faces pain points in the digital transformation of the printing industry, such as the difficulty of inheriting equipment maintenance experience and limited access to policy knowledge. To address these issues, Inspur Intelligent Production provides a private-deployable, professional, and scalable industry large model capability platform, tailoring a printing industry model for Classic Printing.

The platform covers core functions such as user management, knowledge base management, and multi-source data management. It also leverages industrial vertical large models and application-level algorithms based on the intellectual asset model to create an intelligent entity. The printing industry model focuses on scenarios such as equipment maintenance, policy analysis, and management regulations, pre-setting over 200 customer documents and data, exceeding 300,000 words, and establishing a scene-specific knowledge base. Through services such as the maintenance knowledge assistant, policy knowledge assistant, and regulation knowledge assistant, it leverages free question-and-answer capabilities to generate answer responses, enabling Classic Printing to achieve intelligent decision-making.

Equipment Maintenance Assistant leverages data provided by customers, such as equipment registers and maintenance manuals, to establish a dedicated knowledge base, enabling generative question-and-answer for equipment maintenance knowledge. This facilitates equipment maintenance knowledge management and device fault diagnosis, effectively improving equipment maintenance efficiency. For example, when equipment malfunctions, operators can use the Equipment Maintenance Assistant to query relevant knowledge, quickly locate the problem and resolve it, eliminating the previous need to spend a lot of time searching for relevant materials.

Policy Analysis Assistant leverages data from policy documents and industry regulations to quickly extract key information and generate accurate policy interpretations and analysis reports. This enhances the timeliness and accuracy of information acquisition, thereby improving operational management efficiency. For example, Classic Printing can use the Policy Analysis Assistant to stay informed about the latest environmental protection policies and adjust production accordingly to meet policy requirements, avoiding losses caused by policy violations.

Management Regulation Assistant leverages data from safety management and quality management regulations to provide standardized operational guidelines and emergency response plans, helping companies to improve their daily maintenance and emergency response capabilities in case of emergencies. For example, in the event of a safety accident, the Management Regulation Assistant can provide relevant safety regulations and emergency plans, helping the company to quickly handle the accident and minimize losses.

Thanks to the printing industry model developed by Inspur Intelligent Production, Classic Printing significantly reduces knowledge barriers and reliance on expert experience, effectively improving equipment maintenance efficiency and enterprise operational efficiency, further reducing hidden production costs. This successful case not only provides valuable experience for the digital transformation of the printing industry but also provides insights and references for the digital transformation of other industries.

Summary:

Inspur Intelligent Production's intellectual asset model provides strong support for the digital transformation of Classic Printing, effectively improving enterprise operational efficiency and setting an example for the digital transformation of the printing industry. Going forward, Inspur Intelligent Production will continue to delve into the industry, continuously optimize the intellectual asset model, provide digital transformation solutions for more enterprises, and contribute to the high-quality development of China's manufacturing industry.

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