Ingenero

MonitorX Suite

MonitorX Suite

MonitorX is the industrial monitoring and performance intelligence suite within the IngeneroX ecosystem. It transforms plant data into actionable operational visibility, helping engineering and operations teams continuously monitor process behavior, evaluate performance, identify deviations, and respond to changing operating conditions.

By bringing together TrendX, BaseX, NotifyX, and DashX, MonitorX provides a connected environment to analyze trends, establish performance benchmarks, automate operational notifications, and visualize critical plant information. It enables organizations to move from fragmented and reactive monitoring toward continuous, data-driven operational awareness.

Salient Features
Client-Benefits
Client Benefits

Improve Plant-Wide Visibility

Give engineering, operations, reliability, and management teams a connected view of process behavior, asset performance, KPIs, and operating conditions.

Identify Operational Issues Earlier

Continuously monitor trends and operating conditions to help teams recognize deviations before they develop into larger performance issues.

Reduce Manual Engineering Effort

Automate repetitive monitoring, benchmarking, reporting, and notification activities, allowing engineers to focus on higher-value analysis and improvement initiatives.

Accelerate Operational Response

Deliver relevant notifications, reports, and performance information to stakeholders faster, reducing dependence on manual monitoring and escalation.

Improve Data-Driven Decision-Making

Provide teams with contextualized trends, benchmarks, KPIs, notifications, and dashboards to support faster, evidence-based operational decisions.

Dashboard & Snapshots
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.
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