TrendX
TrendX is an industrial time-series visualization and analytics solution within the MonitorX Suite. It transforms historian and process data into actionable insights, enabling engineers to explore operating trends, analyze events, compare process behavior, and identify deviations across assets and operating periods.
With advanced visualization and statistical analysis capabilities, TrendX helps engineering and operations teams move beyond basic historian trending to understand how processes behave, compare current performance with previous operating conditions, and investigate potential causes of operational changes.
Salient Features
Client Benefits
Identify Process Deviations Earlier
Analyze trends and operating patterns to recognize abnormal process behavior and emerging deviations before they become more significant operational issues.
Accelerate Root-Cause Analysis
Compare parameters, events, and operating periods to help engineers investigate process changes and narrow down potential causes faster.
Improve Process Understanding
Reveal correlations, patterns, and relationships across operating parameters to give engineers deeper visibility into plant behavior.
Reduce Manual Trend Analysis
Use configurable visualization and analytical capabilities to investigate large volumes of historian data without relying on repetitive manual analysis.
Improve Operational Decision-Making
Provide engineering and operations teams with clearer process insights to support faster, data-driven decisions around plant performance and operating conditions.
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.
