Plant Dynamic Model Generation via P&ID Device Matching
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Solution Overview
Problem
Current software systems for plant design and simulation lack compatibility, requiring manual labor and time to convert static models into dynamic models suitable for simulation, especially when different software tools are used, leading to inefficiencies in plant design and operator training.
Innovation Solution
An apparatus and method that automatically generates a dynamic model by matching devices from static and piping and instrumentation diagram data, using a matching unit to identify device-to-device correspondence and convert models into a common format, enabling seamless integration and simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual model conversion is performed between different software pieces, then compatibility between software can be achieved, but labor and time consumption increases significantly
Solution Approach 1:
The patent applies preliminary action by automatically performing model conversion and device matching between static and dynamic simulators before simulation execution. The system pre-processes the static model, identifies device correspondences, and converts models to compatible formats in advance, eliminating the need for manual conversion work later. This resolves the contradiction by automating the preparatory conversion process, maintaining software compatibility while dramatically reducing the time and labor required.
2Measurement precision
If manual device matching is performed between static and dynamic simulators, then accurate correspondence can be established, but the process requires extensive user expertise and time
Solution Approach 1:
The patent applies self-service by enabling the system to automatically perform device matching between static and dynamic simulators without requiring user intervention. The matching unit autonomously identifies correspondences between devices in different simulator models by comparing device information and connection relations. This resolves the contradiction by making the system self-sufficient in establishing accurate device mappings, eliminating the need for users to possess extensive expertise while maintaining high matching accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of device matching with an automated information processing system. Instead of users manually comparing and matching devices, the system uses algorithmic comparison of device information, connection relations, and model data to automatically establish correspondences. This substitution of manual mechanical operations with automated computational processes resolves the contradiction by achieving accurate device matching without requiring user expertise.
3Adaptability or versatility
If multiple pieces of software are used for plant design and simulation, then comprehensive functionality is achieved, but integration and compatibility become problematic
Solution Approach 1:
The patent applies universality by creating a unified model generation apparatus that can handle multiple simulator types and formats through a single integrated system. The apparatus includes a matching unit that can identify device correspondences across different simulator platforms and a model conversion capability that produces universally compatible models. This resolves the contradiction by providing a universal platform that maintains comprehensive simulation functionality while simplifying integration, allowing users to work with multiple software tools without managing complex compatibility issues.
4Productivity
If automatic model generation is implemented, then productivity increases, but the complexity of the generation system increases
Solution Approach 1:
The patent applies segmentation by dividing the automatic model generation system into distinct functional modules: a matching unit for identifying device correspondences, a model conversion unit for transforming models between formats, and a simulation execution unit. This modular segmentation allows the system to achieve high productivity through automation while managing complexity by organizing functions into separate, manageable components. Each module handles a specific aspect of the generation process, making the overall system more maintainable and easier to implement despite its automated capabilities.
Data Source
AI summary
To easily generate a dynamic model for performing a dynamic simulation of a plant, an apparatus, a method and a program are provided, the apparatus including a static model acquiring unit configured to acquire a static model indicating a steady state of the plant, a piping and instrumentation diagram data acquiring unit configured to acquire piping and instrumentation diagram data of the plant, and a matching unit configured to match a device included in the static model with a device included in the piping and instrumentation diagram data to identify a device-to-device correspondence relation.