DashX
DashX is a configurable industrial dashboard and visualization solution within the MonitorX Suite. It brings critical plant information, KPIs, trends, alerts, and performance indicators into a unified view, enabling engineering, operations, and management teams to monitor performance and access relevant operational insights from one place.
With configurable dashboards and a DIY data pipeline, DashX enables engineers to create and adapt monitoring views based on plant requirements without relying heavily on BI specialists. It combines operational visualization with benchmarking, condition-based monitoring, alert diagnosis, and what-if analysis to support faster, data-driven decision-making.
Salient Features
Client Benefits
Create a Unified View of Plant Performance
Bring KPIs, trends, alerts, benchmarks, and operational information together in one connected dashboard environment.
Reduce Dependence on BI Specialists
Enable engineering and operations teams to configure and modify dashboards based on their requirements without extensive BI development support.
Accelerate Operational Decision-Making
Provide relevant plant information and performance indicators in an accessible visual format to help teams evaluate conditions and respond faster.
Improve Performance Visibility
Track KPIs, operating conditions, and performance benchmarks to give stakeholders a clearer understanding of plant and asset performance.
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.
