CMap AI Expert

The next layer of compressor performance intelligence

CMap AI Expert is an intelligent engineering assistant currently under development, envisioned to support centrifugal compressor performance analysis, diagnostics and decision-making.

Under development

A forward-looking technology vision built on IPC compressor know-how and CMap calculation workflows.

Engineering assistant

Designed to support interpretation and reasoning, not to replace expert engineering judgement.

Grounded intelligence

AI support connected to engineering models, documentation and performance context.

Vision

Toward assisted engineering intelligence

Compressor performance analysis often requires the interpretation of complex operating conditions, performance deviations and historical trends.

CMap AI Expert is envisioned as a guided support layer designed to help engineers move from calculated results to structured diagnostic reasoning.

CMap performance transformation workflow
Planned capabilities

What CMap AI Expert is being designed to support

The following functions represent the intended development direction and are presented as a technology roadmap, not as already available product features.

Deviation interpretation

Read performance gaps

Assist users in interpreting measured-vs-expected deviations and identifying possible areas for deeper investigation.

Diagnostics

Guide troubleshooting

Support diagnostic reasoning by connecting abnormal behavior with compressor performance context and engineering knowledge.

Knowledge access

Use IPC know-how

Provide contextual access to CMap documentation, tutorials, technical notes and compressor performance methodology.

Reports

Explain outputs

Help users understand calculated maps, performance reports, deviation indicators and key output parameters.

Monitoring

Interpret trends

Support interpretation of continuous performance trends from CMap Monitoring and highlight patterns requiring attention.

Maintenance

Support planning

Help connect performance degradation indicators with inspection priorities and maintenance decision workflows.

Human-in-the-loop

Designed to support engineers, not replace them

CMap AI Expert is intended as an engineering co-pilot: a tool to assist analysis, explain results and support diagnostic reasoning while keeping final decisions under expert human responsibility.

Development roadmap

From calculation to assisted diagnosis

The development vision connects CMap calculations, monitoring data and IPC knowledge into a guided analysis experience.

1

CMap calculation

Reference maps are transformed to actual or forecasted operating conditions.

2

Deviation detection

Measured values are compared with expected performance indicators.

3

AI interpretation

The assistant helps explain possible meaning and context of deviations.

4

Diagnostic hypothesis

Possible technical causes are organized into structured investigation paths.

5

Engineering decision

Final evaluation remains in the hands of the compressor specialist.

Technology vision

AI grounded in engineering context

CMap AI Expert is being conceived around transparency, traceability and engineering control. The goal is not black-box decision making, but better access to validated calculation outputs, documentation and compressor performance knowledge.

The development direction is aligned with IPC’s long-term vision for compressor performance intelligence: combining physics-based models, operational data and practical engineering experience.

CMap off-design performance maps
Next generation

Engineering intelligence, built on engineering fundamentals.

CMap AI Expert represents the next development step toward guided compressor diagnostics and assisted performance interpretation.

Ask CMap AI
CMap AI Assistant
Hi, I’m CMap AI Assistant. Ask me about the AI Expert vision.