DataHubX Suite

DataHubX is the trusted data foundation for the IngeneroX industrial AI ecosystem. It brings together operational information and engineering context so plant data can be consistently accessed, understood, and used across monitoring, analytics, reporting, and optimization applications. By combining Data Configurations with the Asset Framework, DataHubX creates a scalable foundation for MonitorX, InsightX, PEnAI, and other IngeneroX solutions without requiring organizations to replace their existing technology systems.

Salient Features

Unified Industrial Data Foundation

Create a common foundation for operational data, engineering information, and asset context across the enterprise.

Vendor-Neutral Architecture

Work across multiple historian, control, laboratory, business, and engineering systems without being restricted to a single technology ecosystem.

Enterprise Data Governance

Establish consistent structures and standards for using industrial information across teams, applications, and sites.

Cross-System Data Accessibility

Make information from different operational and enterprise platforms available through one connected data environment.

Multi-Site Scalability

Extend common data structures and governance practices across plants, business units, and geographic locations.

Modular Integration

Provide a shared foundation that supports the independent or combined deployment of IngeneroX solutions.

Context-Ready Architecture

Ensure downstream applications receive information with the industrial and operational context needed for meaningful analysis.

Foundation for Industrial AI

Support monitoring, predictive analytics, reporting, diagnostics, and optimization with trusted and reusable plant information.

Customizable Limits, Priorities, etc.

a. Engineers can manipulate configured KPI limits based on plant priorities.

Sensitivity Analysis

Optimax provides feature to run multiple cases simultaneously with different limit ranges to enhance the actionable insights.

Role-Based Access and Security

Provides access control to ensure only authorized personnel can view or edit monitoring configurations.

Result Analysis Tool

Offers diagnostic tools to help engineers quickly investigate and resolve performance issues with different configurations

Client Benefits

Create One Trusted Data Foundation

Give engineering, operations, IT, and digital teams access to a consistent source of industrial information.

Scale AI Across the Enterprise

Deploy additional IngeneroX solutions without rebuilding the underlying data foundation for every application.

Preserve Existing Technology Investments

Connect with current plant and enterprise systems without requiring a complete technology replacement.

Improve Cross-Functional Collaboration

Enable teams to work with consistent data structures and a shared understanding of operational information.

Strengthen Data Governance

Establish common standards for managing and using industrial data across multiple systems and sites.

Accelerate Digital Transformation

Create a scalable foundation for expanding from an initial use case to enterprise-wide monitoring, analytics, and AI.

Dashboard & Snapshots

Configure all tags related to specific Equipment:

Solution configuration [Defining the Objective: Maximize Production, Minimize Utility]:

Solution configuration [Defining cases of interest – Multiple cases can also be added]:

Result Tag Configuration: Identify the potential actionable insights.

Sensitivity Analysis: Supporting engineers to evaluate appropriate configurations

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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