The Application of AI in the chemical companies

AI has been deeply applied in the chemical companies for intelligent production, safety control, equipment maintenance, and knowledge management, driving the industry's transformation from "experience driven" to "data and model driven".
1. AI Private Domain Knowledge Base: Building an Enterprise level Intelligent Hub
Based on the RAG architecture, integrating unstructured data such as SOP, accident cases, equipment parameters, etc., to achieve expert level response of "get what you ask".
Support second level parsing of multimodal data such as PDF, drawings, audio and video, accurately understand complex intentions (such as "reactor overheating treatment") through semantic embedding technology, and automatically generate traceable decision recommendations.
2. Predictive Production Intelligence Control: Improving Efficiency and Safety
Using time series large models to analyze sensor data, achieve equipment health management (PHM), provide early warning of large-scale unit failures, and reduce unplanned shutdowns.
Dynamically adjust the boundary of process parameters, achieve edge control while ensuring product purity, and maximize economic benefits.
In the Datang Duolun Coal Chemical Project, AI has shortened the pH adjustment cycle from 6-8 hours to less than 1 hour, and is expected to reduce CO ₂ emissions by 419400 tons throughout the year.
3. Mechanism modeling and process simulation: scientifically optimizing core processes
Build a full process digital twin, simulate the production process based on material and energy balance principles, predict the distribution of main and by-products, and calibrate model parameters in real time.
By using reinforcement learning or multi-objective reverse optimization algorithms, the optimal operating parameter combination of the reactor (flow rate, ratio, temperature and pressure, pH value, etc.) is deduced to improve yield and reduce energy consumption.
4. AI enabled security monitoring and risk prevention and control
Real time video analysis identifies whether personnel are wearing protective equipment and whether there are any violations, automatically triggering an alarm.
Track hazardous chemical vehicles throughout the entire process, detect any deviation from dedicated lanes or illegal parking, and improve the level of park closure management.
AI automatically reviews the compliance of high-risk work permits such as hot work and confined spaces, assists in approval decisions, and reduces the risk of human error.
5. Intelligent Training and Assessment: Accelerating Talent Development
Build a chemical test question bank and a student ability portrait model, with AI automatically generating test papers, grading, analyzing grades, and pushing personalized learning paths.
The simulation training results are corrected by AI, which identifies logical loopholes, parameter deviations, and security violations to enhance training consistency and professional depth.