Optimized Filtration Process
Our AI solutions have streamlined the filtration process, enhancing efficiency and reducing operational costs.
AI in Phosphoric Acid Manufacturing: Enhancing Production Efficiency and Yield
Executive Summary
Process Point implemented AI-driven solutions in phosphoric acid manufacturing to optimize filtration, reduce gypsum cluster formation, and improve reactor stability. The result was enhanced yield, efficiency, and equipment effectiveness for a leading fertilizer company.
Client Profile
A leading multinational fertilizer company faced significant challenges in their phosphoric acid manufacturing process.
The Challenge
- Facility stuck in upsetting cycle of reactor due to gypsum cluster formation
- Increased filtrate strength creating a cyclic effect as weak acid recirculated to reactor
- Need to optimize the filtration process
- Goal to run at maximum feed rates and reach optimum yield while maximizing operating equipment effectiveness
Process Point's Solution: Data-Driven Intelligence
Data Collection and Analysis
Initial data pull: ~13 million data points
Data cleaning and feature generation: Based on chemical principles and SME feedback
Anomaly detection: Removed anomalous data, resulting in ~2000 features generated
Advanced Modeling and Machine Learning
XGBoost: Utilized for identifying important attributes
K-Means clustering: Chosen to identify various operating modes
Support Vector Machines (SVMs): Used to smooth out clusters and find optimal operating points
Real-Time Monitoring and Optimization
Soft sensor development: Informs operators how close the system is to the inflection point of feed vs filtrate based on current conditions
Set point and cluster confidence metrics: Developed for real-time monitoring
Recommendations: Provided to operators when cluster confidence is above set threshold
Our Proven Results
Reduced Gypsum Cluster Formation
Advanced algorithms have significantly reduced gypsum cluster formation, ensuring smoother operations.
Mitigated Cyclic Effects
Our technology mitigates cyclic effects in reactors, leading to more stable and predictable performance.
Maximized Feed Rates and Yield
AI-driven optimizations have maximized feed rates and yield, boosting overall productivity.
Conclusion
- Expertise Utilized : Process Point's data-driven approach.
- Optimization Achieved : Successfully optimized the client's phosphoric acid manufacturing process .
- Challenges Addressed :
- Gypsum cluster formation
- Cyclic effects impacting efficiency
- Technologies Used : Advanced analytics for industrial problem-solving.
- Results :
- Improved efficiency in manufacturing.
- Increased yield of phosphoric acid.
- Enhanced equipment effectiveness and longevity.
- Industry Impact :
- Demonstrates the power of data-driven strategies in industrial transformation.
- Sets a new standard for industrial optimization in the Industry 4.0 era.