BaseX
BaseX is an industrial performance benchmarking and gap analysis solution within the MonitorX Suite. It contextualizes operational data to establish data-driven performance benchmarks, identify best-achieved operating conditions, compare similar assets, and quantify gaps between current and best-achieved performance.
By relating operating parameters to key performance indicators, BaseX helps engineering and operations teams understand what their plant can achieve at its best, where performance gaps exist, and which areas offer the greatest opportunity for improvement.
Salient Features
Client Benefits
Establish Data-Driven Performance Targets
Replace judgment-based targets with benchmarks derived from actual historical plant performance and operating conditions.
Identify & Quantify Performance Gaps
Determine how far current operations are from best-achieved performance and identify where improvement opportunities exist.
Accelerate Performance Benchmarking
Reduce benchmark generation from approximately 2–3 hours to 5–10 minutes, enabling engineers to evaluate performance more efficiently.
Reduce Asset Comparison & Analysis Time
Reduce asset ranking from approximately one day to 5 minutes and gap analysis from 4–5 hours to approximately 5 minutes, significantly reducing manual engineering effort.
Dashboard & Snapshots
![Solution configuration [Defining the Objective: Maximize Production, Minimize Utility]:](https://ingenerox.ai/wp-content/uploads/2025/05/Picture3-3.png)
![Solution configuration [Defining cases of interest – Multiple cases can also be added]:](https://ingenerox.ai/wp-content/uploads/2025/05/Picture4-3.png)
Case Studies
Development of Soft Sensor to predict the C5 contents in Debutaniser column Overhead:
Background
In modern petrochemical operations, maintaining product specifications within tight limits is critical for both quality assurance and process efficiency. One of the key challenges faced by a leading chemical plant was the need for real-time prediction and monitoring of C5 content in the overhead stream of the debutanizer column — a crucial step to ensure product specification compliance and optimize operations.
Challenge
Traditional laboratory testing methods for measuring C5 content introduced significant time delays, making real-time adjustments difficult. The plant required a fast, accurate, and reliable solution to continuously monitor C5 levels, allowing operators to take timely corrective actions and avoid off-spec products.
Solution with AnalyticX
Using AnalyticX, the engineering team was able to develop a soft sensor — a machine learning-based predictive model — specifically designed to estimate the C5 content in the debutanizer overhead stream in real time.
Key steps included:
- Seamless ingestion of historical operational data into AnalyticX without any coding requirements.
- Applying statistical analysis to identify key process variables influencing C5 concentrations.
- Rapid development and training of a machine learning model tailored to predict C5 content with high accuracy.
- Deployment of the predictive model into live operations for real-time product spec monitoring.
Results
- Enhanced Product Monitoring:
Operators now have a real-time view of the predicted C5 content, significantly reducing reliance on delayed lab measurements. - Improved Process Control:
By closely tracking C5 levels, the plant was able to make timely adjustments to operational parameters, ensuring consistent product quality. - Reduced Off-Spec Production:
Real-time insights helped minimize off-spec batches, leading to material savings and reduced reprocessing costs.
Key Takeaways
- AnalyticX enabled the rapid development of a soft sensor customized for critical KPI monitoring.
