Process Module Simulation Model for Reliable MTP Integration
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Solution Overview
Problem
When combining different types of process modules from various vendors, assessing and understanding the module behavior and details can be challenging due to lack of available information from the module vendors.
Innovation Solution
A method is provided to generate a simulation model for process modules, incorporating process logic, control logic, state engine, and process connection information, which is then linked or extended to a module type package (MTP), enabling detailed simulation and testing of module behavior and orchestration logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If process modules from different vendors are combined to create modular plants, then adaptability and versatility are improved, but reliability deteriorates due to unknown module behavior and lack of vendor information
Solution Approach 1:
The patent creates a simulation model that copies the behavior of the real process module. This virtual copy allows users to test and verify module behavior without needing detailed information from the vendor, thus maintaining reliability while enabling adaptability through modular combinations.
Solution Approach 2:
The simulation model enables preliminary testing and validation of module behavior before actual deployment. By performing assessments in advance through simulation, the system ensures reliable operation while allowing flexible combination of modules from different vendors.
2Reliability
If detailed information about process module behavior is obtained from vendors, then reliability is improved, but loss of information is reduced (vendor information is retained)
Solution Approach 1:
The simulation model acts as an intermediary between the user and the vendor's detailed information. Instead of requiring direct access to proprietary vendor data, the simulation model provides the necessary behavioral information in a standardized format that can be used for assessment and testing.
Solution Approach 2:
Rather than relying on vendor-provided information, the system creates a self-contained simulation model that captures module behavior independently. This copy eliminates the need to retain or access vendor information while maintaining full reliability for assessment purposes.
3Manufacturing precision
If simulation models are generated from multiple specifications and configurations, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The simulation model is constructed by segmenting different aspects of module behavior into separate components: process logic specification, control logic specification, state engine, and process connection information. This modular structure allows precise modeling while managing complexity through organized decomposition.
Solution Approach 2:
The patent combines multiple specification types and configuration data into a unified simulation model. By merging these elements systematically, the system achieves comprehensive and precise simulation while presenting a single integrated model to the user, hiding the underlying complexity.
Data Source
AI summary
The disclosure describes a method associated with a simulation model of a process module configured to execute at least one module service. The process module is interlinkable or interlinked with further process modules to carry out a technical process in a cascade of module services, and includes Providing a process logic specification of the technical process, a control logic specification of the process module, a state engine of the process module from a configuration of the at least one service, and a process connection information of the technical process; Generating at least a part of the simulation model from a combination thereof, and Linking at least a part of the generated simulation model to a module type package for the process module, or extending a module type package for the process module by at least a part of the generated simulation model.