On September 24, 2024, during the 24th China International Industry Fair, DODGEN was awarded the title of "Shanghai AI-Enabled New Material Application Scenario Pilot Enterprise" at the Shanghai New Materials Industry Development Summit Forum. The event was supported by the Ministry of Industry and Information Technology and the Shanghai Municipal Government, with guidance from the Shanghai Municipal Commission of Economy and Informatization, the Jinshan District People's Government, and the Shanghai Federation of Industrial Economics. The forum aimed to promote the digital and intelligent transformation and upgrading of the new materials industry.
The summit forum, themed "Smart Materials: New Core Quality," focused on the application of digital and intelligent technologies in the new materials industry and how these technologies are driving comprehensive innovation in design, research, production, and application. The forum attracted numerous experts, scholars, academicians, and entrepreneurs from the fields of new materials and artificial intelligence, who explored cutting-edge topics such as data-driven innovation, AI, and large-scale model development, offering forward-looking insights for the development of the new materials industry.
In traditional new material pilot testing, optimizing parameters such as raw material ratios, temperature, and flow rates often requires extensive experimentation and time, leading to long test cycles and high costs. By introducing AI technology, preliminary pilot results can be compared with historical data to build datasets, and AI can predict optimal directions, automatically generating parameter combinations and testing sequences. This data-driven self-learning system significantly shortens pilot testing cycles and reduces costs, eliminating the need for extensive experimental data.
DODGEN actively explores the use of AI technology to enhance its pilot plants. During actual pilot testing, AI continuously learns from the latest experimental data and integrates it into self-optimizing algorithm models, creating a positive feedback loop of data, models, and experimental results. As more pilot data is accumulated, AI-assisted pilot design methods become increasingly precise, thereby significantly improving the reliability and efficiency of process optimization.
DODGEN’s digital transformation of its pilot platform is built on a "process digital twin" foundation, expanding in four major directions: "intelligent optimization," "added-value services," "engineering modeling," and "lean production management."
The "intelligent optimization" direction focuses on serving the pilot platform itself by leveraging industrial big data and AI technologies to assist in discovering optimal process conditions through computational systems.
The "added-value services" direction enables DODGEN, under a service agreement with customers, to utilize offline data downloads and remote data transmission to provide customers with anomaly diagnostics and customized process optimization services based on their raw material characteristics.
"Engineering modeling" integrates equipment dimensions and material engineering data with process data, allowing the digital twin to be used for cost estimation, virtual training, and better service for the pilot platform and users.
"Lean production management" involves analyzing process data in combination with operational cost data to improve the cost-efficiency of the pilot plant and users.
DODGEN's pilot platform has largely achieved automation, initial digitalization through AI technology, and is actively advancing its information technology development with the ultimate goal of realizing intelligent manufacturing.
In conclusion, AI-enabled pilot process optimization, combined with modular skid-mounted process units, not only meets the needs of new process development but also continues to play a role in future technological iterations. This scalable design greatly enhances equipment efficiency, helping companies save significant time and costs while strengthening their competitiveness in the future market.
AI technology holds immense potential in new material research and manufacturing. DODGEN is actively exploring the deep application of AI technology in pilot processes and new material development, striving to become a leading provider of new material technologies and equipment, and contributing to the high-quality development of the new materials industry.
