NotifyX
NotifyX is an intelligent notification and workflow automation solution within the MonitorX Suite, designed to continuously monitor plant KPIs, process events, instrumentation faults, and tag anomalies. It transforms detected conditions into configurable alerts, reports, and automated workflows, helping the right teams receive relevant operational information at the right time.
By combining KPI monitoring, anomaly detection, prescriptive insights, and automated reporting, NotifyX reduces manual monitoring and helps plant teams respond faster to emerging operational conditions.
Salient Features
Client Benefits
Reduce Workflow Configuration Time
Configure notification and reporting workflows in approximately 15 minutes, compared with 8–12 hours through conventional configuration processes.
Reduce KPI Reporting Time
Reduce KPI report preparation from approximately 2 hours to 15 minutes through automated monitoring and reporting workflows.
Accelerate Operational Response
Deliver relevant notifications and operational information to the appropriate teams faster, enabling quicker response to emerging plant conditions.
Reduce Manual Monitoring & Reporting
Automate repetitive KPI tracking, notifications, and reporting activities, allowing engineering and operations teams to focus on higher-value analysis.
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.
