Enhancing operations strategy to boost Performance, Reliability, and Sustainability in the Pre heat- Hexagent
HexAgent brings the power of PlantGPT’s Agentic AI to optimize the preheat train — intelligently balancing heat distribution, predicting performance degradation, and recommending proactive maintenance strategies based on dynamic operational conditions. Designed for real-world refining, petrochemical, and process plants, HexAgent transforms heat exchanger management from reactive maintenance to proactive, data-driven optimization
Enhancing operations strategy to boost Performance Reliability and Sustainability in the Pre heat Hexagent-1

How It Works?

Pre - HexAgent combines the reasoning power of Agentic AI and the adaptive learning of Generative AI to transform emissions management across industrial operations. 

  • Step 1
    Intelligent Contextualization of Preheat Data
  • Step 2
    Continuous Monitoring and Deviation Detection
  • Step 3
    Dynamic Analysis and Predictive Forecasting
  • Step 4
    Prescriptive Optimization Recommendations
  • Step 5
    Smart Maintenance Planning and Reporting
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Gen AI-based Inspection Rounds
  • Dynamic Knowledge Graphs: Agentic AI unifies time series, PFDs, P&IDs, exchanger design data, and maintenance histories into a living plant knowledge map. 
  • Operational Linkage: AI connects exchanger health, performance data, and process variations to reveal hidden interdependencies. 
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Gen AI-Powered Work Order Approval
  • Performance Degradation Alerts: Agentic AI continuously monitors exchanger parameters (e.g., U-values, fouling indices) to detect efficiency loss early. 
  • Real-Time Deviation Signals: AI flags abnormal thermal load distributions and alerts maintenance teams proactively.
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AI-Guided Maintenance Execution
  • Live Heat Distribution Modeling: Generative AI adjusts thermal load balancing across exchangers based on feedstock changes and temperature fluctuations. 
  • Predictive Maintenance Forecasts: Agentic AI predicts end-of-cycle timing, exchanger failures, and maintenance needs dynamically. 
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Prescriptive Optimization Recommendations
  • Operational Strategy Suggestions: AI recommends optimal flow adjustments, exchanger cleaning schedules, or bypass strategies to maximize train performance. 
  • Impact-Feasibility Decisioning: Agentic AI ranks interventions by operational benefit, energy efficiency gains, and risk mitigation.
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Smart Maintenance Planning and Reporting
  • Maintenance Prioritization: AI generates maintenance action plans based on predicted degradation risks, minimizing unnecessary shutdowns. 
  • Audit-Ready Insights: Agentic AI structures exchanger health reports, maintenance justifications, and operational optimization logs automatically.
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Industries we are transforming with Gen-AI, based on Tridiagonal OpsEdge

Generative AI trnasforms maintenance into a seamless, efficient, and reliable process, ensuring your operations run smoothly
chemicals-icon
Chemicals
Oil & Energy
Oil & Energy
life-science-icon
Life Sciences & Pharmaceuticals
metals
Metals & Mining
Automotive (2)
Automotive
Automotive (2)
Industrial Manufacturing
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Technology Behind the Transformation

Powered BY AMAZON SCALABLE, SECURE & ITELLIGENT
Our Gen AI Based maintenance solution is built on cutting-edge Amazon technology, ensuring a roburst, secure and scalable platform for your operations.
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Neptune
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Bedrock
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Tridiagonal HexAgent Features

Tridiagonal HexAgent empowers your business with a suite of advaced features designed to streamline operations and drive growth.

Comprehensive Preheat System Mapping
01

Agentic AI fuses design, operational, and maintenance data into dynamic knowledge graphs for full system visibility. 

Predictive Degradation Detection
02

AI agents monitor exchanger health indicators in real time, detecting performance degradation 30–40% faster than manual tracking. 

 

Dynamic Heat Load Optimization
03

Generative AI models adjust thermal load distribution dynamically, improving heat recovery efficiency by 5–10%. 

Prescriptive Maintenance Recommendations
04

Agentic AI prescribes optimal maintenance timing and cleaning strategies, reducing exchanger downtime by 15–25%. 

Early Warning System for Critical Failures
05

Continuous monitoring triggers early alerts, minimizing the risk of sudden exchanger outages and unplanned shutdowns. 

Energy Efficiency and Emissions Impact
06

Optimized heat exchanger operation improves plant energy efficiency, potentially reducing overall fuel consumption by 5–8%. 

 

Can maintenance tasks be updated directly from the application?
07

Yes, users can update task statuses, add comments, attach images, and log work completion directly within the application from any device.

 

Intuitive Applications in industry operations
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the application support integration with existing CMMS or ERP systems
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About Us

Tridiagonal AI Pvt. Ltd. (TAPL), Digital Transformation in Process Manufacturing is a premier Industry 4.0 consultant specializing in Manufacturing Excellence and Digital Transformation. We are an end-to-end execution partner for Chemical 4.0 programs, offering expertise in IT-OT integration, advanced data analytics, energy optimization, and Generative AI. Our capabilities span Digital Transformation Consulting, Process Data Analytics, Process Optimization, and more. From strategy to implementation and ongoing support, we ensure the success of your digital initiatives. Partner with us to unlock the full potential of your digital investments and drive transformative change in your operations.

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Key benefits of leveraging Gen AI

Detection of Exchanger Performance Degradation

 30–40%
Faster

Heat Recovery Efficiency

 5–10%
Improvement

Unplanned Downtime

 15–25%
Reduction

Manual Data Analysis Efforts

 50–60%
Reduction

Overall Plant Fuel Consumption

 5–8%
Reduction

Better Maintenance and Resource Planning

Optimized

Regulatory Compliance and Reporting Readiness

Improved

Faster Decision-Making with Explainable AI

Optimization

Frequently Asked Questions

It has survived not only five centuries, but also the leap into electronic.

How does the application help in reducing maintenance downtime?

By providing real-time access to work orders, inventory data, and predictive insights, the application enables quicker decision-making and more efficient task execution, significantly reducing maintenance downtime.

Can the application be used offline, and will data sync when back online?

Yes, the application supports offline mode, allowing users to continue their tasks without interruption. Once reconnected, all data is automatically synced to ensure accuracy and continuity.

 

Is the dashboard customizable to fit specific maintenance needs?

Absolutely. The dashboard is fully customizable, allowing teams to prioritize metrics, tasks, and KPIs relevant to their specific workflows and equipment.

How secure is the data accessed and stored through the application?

The application uses advanced encryption protocols and complies with industry standards to ensure secure data transmission, access control, and storage.

Does the application support integration with existing CMMS or ERP systems?

Yes, the application offers seamless API-based integration with most leading CMMS and ERP platforms to maintain workflow continuity and eliminate data silos.

 

How easy is it to train maintenance teams to use the application?

The application features an intuitive interface, built-in guides, and training resources to help teams adopt it quickly with minimal disruption to operations.

What kind of real-time alerts and notifications does the application provide?

The system sends instant alerts for critical events such as equipment failure risks, overdue maintenance, inventory shortages, and safety violations to keep teams proactive.

Can maintenance tasks be updated directly from the application?

Yes, technicians can log updates, complete work orders, and track task progress directly from the app, ensuring real-time accuracy in reporting and execution.

Curious about how our Generative AI can streamline your operations?

Book a demo to see how we optimize efficiency and drive results.