On September 24, 2024, during the 24th China International Industry Fair, DODGEN was awarded the title of "Shanghai AI Empowered New Materials Application Scenario Demonstration Enterprise" at the Shanghai New Materials Industry Development Summit Forum. The event was supported by the Ministry of Industry and Information Technology of the People's Republic of China and the Shanghai Municipal People's Government, guided by the Shanghai Municipal Economic and Information Technology Commission, Jinshan District People's Government, and the Shanghai Industrial Economic Federation. The forum aimed to promote the digital and intelligent transformation and upgrading of the new materials industry.
The theme of this summit forum was "Digital Intelligence Materials · New Core Qualities," focusing on the application of digital and intelligent technologies in the new materials industry and how they drive 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 gathered to discuss cutting-edge topics such as data-driven solutions, artificial intelligence, and large model development, offering forward-looking insights for the development of the new materials industry.
AI Empowering New Materials Pilot Workshops: From "Experimentation" to "Application"
In traditional new materials pilot processes, optimizing parameters such as raw material ratios, temperature, and flow rates often requires numerous experiments and a considerable amount of time, leading to long trial periods and high costs. By introducing AI technology, the pilot results are compared with historical data to build datasets, and AI is used to predict optimization directions, automatically generating parameter combinations and experimental sequences. This data-driven self-learning system significantly shortens the pilot cycle, reduces costs, and no longer relies on extensive experimental data.
DODGEN is actively exploring the empowerment of pilot workshops through AI technology. During the actual pilot process, AI continuously learns from the latest experimental data and incorporates it into its self-optimizing algorithm model, creating a positive feedback loop between data, models, and experimental results. As pilot data accumulates, the AI-assisted pilot methods become increasingly accurate, significantly improving the reliability and efficiency of process optimization.
DODGEN Pilot Base Informatization: Building the "Digital Twin of Processes" Platform
The informatization construction of DODGEN’s pilot platform is based on the "digital twin of processes," expanding into four main areas: "intelligent optimization," "value-added services," "engineering modeling," and "lean production management."
●"Intelligent Optimization" focuses on serving the pilot platform itself, using industrial big data, artificial intelligence, and other tools to assist in identifying the optimal process conditions through computer systems.
●"Value-added Services" is based on the "Intelligent Optimization" direction and, under the premise of service agreements with users, utilizes methods such as offline data downloads and remote data transmission. This enables DODGEN to use data from the actual operation of production equipment at the user site to provide anomaly diagnostics and process optimization services tailored to the characteristics of the user's raw materials.
●"Engineering Modeling" combines engineering data such as equipment dimensions and materials with process data, allowing the digital twin to be used for cost estimation, virtual training, and other scenarios, better serving both the pilot platform and users.
●"Lean Production Management" involves statistical analysis of process data, combined with operating data such as unit costs, to improve the cost-benefit ratio for both the pilot base and users.
DODGEN’s pilot platform has essentially completed automation, achieved preliminary digitalization through AI technology, and is actively advancing informatization to ultimately realize intelligent manufacturing.
In summary, AI-powered pilot process optimization, combined with modular skid-mounted units for process modules, not only meets the needs of new process development but can also continue to play a role in future technological iterations. This scalable design significantly enhances the efficiency of equipment use, helps the company save a considerable amount of time and cost, and strengthens its competitiveness in the future market.
AI technology has tremendous potential in the development and manufacturing of new materials. DODGEN is actively exploring the deep application of AI technology in pilot processes and new material development, aiming to become a leading provider of new material technologies and equipment in the industry, contributing to the high-quality development of the new materials sector.
