Data Correlation for Control System Model Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current control and data transmission systems require laborious manual testing, are prone to errors, and inflexible when changes occur in cabling or system elements, with limited automated support for users with low knowledge.
Innovation Solution
A method for simplifying the installation, testing, and adaptation of control and data transmission systems through data correlation, using system models with transmission functions, and mobile or central data-processing devices to analyze and validate system elements, enabling computer-assisted correlation and visualization of results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual testing of system elements is performed path by path, then testing can be completed with basic tools, but the process becomes laborious and time-consuming
Solution Approach 1:
The patent replaces manual mechanical testing processes with automated electronic testing systems. A data processing device automatically correlates actual system data with model data, eliminating the need for manual path-by-path testing and significantly reducing testing time while maintaining ease of operation.
Solution Approach 2:
The patent creates a virtual model copy of the control and data transmission system that mirrors the actual system structure. By comparing actual system data against this model copy, the system automates the testing process and eliminates laborious manual verification while providing comprehensive system validation.
2Device complexity
If system elements are tested manually from a signal perspective, then simple testing equipment can be used, but error susceptibility increases and automation support is insufficient
Solution Approach 1:
The patent replaces simple manual testing equipment with an automated data processing system that electronically correlates system data with model data. This substitution increases testing reliability by eliminating human error while the system remains accessible through standard interfaces, balancing complexity and reliability.
Solution Approach 2:
The testing system performs self-validation by automatically comparing actual system data against the model data without requiring external expert intervention. The system autonomously identifies discrepancies and provides diagnostics, improving reliability while reducing the need for complex specialized equipment.
3Adaptability or versatility
If manual testing procedures are used, then flexibility to changes in cabling or system elements is reduced, but automated systems would increase initial complexity
Solution Approach 1:
The patent implements a dynamic testing system where the data processing device automatically adapts to changes in system configuration, cabling, or elements by re-correlating data with the updated model. This dynamic adaptation capability allows the system to flexibly respond to changes without requiring manual reconfiguration procedures.
Solution Approach 2:
The patent creates a universal testing platform that can handle various system configurations, cable types, and element variations through a single automated system. The model-based approach provides multi-functionality, allowing the same system to adapt to different scenarios without increasing operational complexity for the user.
4Reliability
If comprehensive system testing is performed, then system functionality is validated, but the sequence of actions becomes complex and engineering productivity decreases
Solution Approach 1:
The patent replaces complex manual validation sequences with automated data correlation processing. The data processing device systematically compares actual system data with model data, providing comprehensive validation without requiring engineers to perform complex manual testing sequences, thereby maintaining productivity.
Solution Approach 2:
The patent performs preliminary validation by correlating system data with the model before final system deployment or operation. This preliminary action identifies potential issues early in the process, ensuring system reliability while streamlining the overall engineering workflow and improving productivity by preventing rework.
Data Source
AI summary
Methods are disclosed for testing the functionality of a system element to be used inside a control and/or data processing system as well as, in essentially the opposite direction, for designing a system model having at least one transmission function for modeling a control and/or data transmission system with at least one system element. A data-processing device for performing this method is also disclosed, which device comprises a signal unit that can be coupled to a constructed system element for producing a control and/or data transmission system, for reading out, querying or receiving a signal output of the system element in response to a predetermined signal voltage applied at the system element, an evaluation unit for evaluating the signal output as a function of the input signal in order to analyze the system element, and a processing unit for associating the analyzed system element with a transmission function.