Hierarchical Compressor Models from P&I Diagrams for Precise Control

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Solution Overview

Problem

Compressor systems lack a standardized method for controlling and monitoring, relying on generic control and analysis methods that do not account for specific operational relationships between compressors and peripheral devices, limiting precise analysis and optimization.

Innovation Solution

The development of derived models based on output models, such as Process and Instrumentation (P&I) diagrams, which take into account operational relationships and dynamic processes between compressors and peripheral devices, enabling more precise control, monitoring, and diagnostic routines.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If standard control and analysis methods with parameterization are used, then the system is easy to operate and implement, but the analysis precision and ability to account for specific operational relationships deteriorates

Engineering Contradiction:
Improveanalysis precisionVSAvoidmodel complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the compressor system analysis into multiple hierarchical levels: a generic base model containing common operational relationships, and specific derived models for individual compressors or device groups. This segmentation allows the base model to provide general analysis while derived models capture specific operational characteristics, resolving the contradiction between analysis precision and model complexity by distributing complexity across multiple manageable segments.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system adds a hierarchical dimension to the modeling approach, creating multiple levels of model abstraction (base model → derived models). This dimensional change allows the system to maintain a simple base model for ease of operation while generating more complex derived models only when needed for specific analysis tasks, thus improving analysis precision without proportionally increasing overall system complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If generic control methods are used, then the device complexity is reduced, but the ability to account for specific operational relationships and dynamic processes deteriorates

Engineering Contradiction:
Improveadaptability to specific conditionsVSAvoidcontrol system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary action by pre-defining a base model that captures generic operational relationships common to all compressor systems. This preliminary structuring allows specific adaptability to be achieved through targeted modifications or derivations from the base model, rather than requiring complete customization. The base model serves as a pre-prepared foundation that reduces the complexity of adapting to specific conditions.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The base model embodies universality by capturing operational relationships that apply across different compressor systems and conditions. This universal model can serve multiple functions: providing general analysis, serving as a template for deriving specific models, and maintaining consistency across different system configurations. The multi-functionality of the base model reduces the need for separate complex control systems for each specific application.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If detailed output models based on P&I diagrams are created, then the measurement precision and operational relationship analysis improve, but the time and resources required for model development increase

Engineering Contradiction:
Improveoperational relationship analysis precisionVSAvoidmodel development time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system uses copying by creating derived models that replicate and adapt the base model structure for specific applications. Instead of developing completely new detailed models from scratch for each compressor or device group, the system copies the proven base model framework and customizes it with specific parameters and relationships. This copying approach maintains high measurement precision while significantly reducing model development time compared to creating detailed models independently for each case.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The base model represents preliminary action in model development, capturing common operational relationships in advance. This preliminary work eliminates the need to repeatedly analyze and define the same generic relationships for each specific compressor system. The pre-established base model serves as a ready-made foundation that accelerates the development of detailed operational models while maintaining precision.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11136974B2Development of a higher-level model
Publication Date: 2021.10.05 KAESER KOMPRESSOREN SE
  • US11136974B2 patent drawing
  • US11136974B2 patent drawing
  • US11136974B2 patent drawing

AI summary

A method for controlling and/or monitoring a compressor system is provided. The compressor system includes one or more compressors and one or more peripheral devices. The compressors and peripheral devices are arranged or connected in a predetermined configuration. The compressor system is controlled and/or monitored by a control/monitoring unit. The method involves creating one or more derived models on the basis of one or more initial models of the compressor system that are based on a P&I diagram. The derived models take into account the operative interrelationships among the individual compressors and peripheral devices, and optionally also dynamic processes. The one or more derived models form the basis for subsequent control, monitoring, diagnosis or evaluation routines.