Field Device Configuration via Semantic Identifier Reuse
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Solution Overview
Problem
The manual mapping of semantic identifiers to field device parameters in industrial plants is labor-intensive and prone to errors, especially when integrating new field devices into existing systems.
Innovation Solution
A computer-implemented method that automatically generates configuration information by matching semantic identifiers with field device parameters using driver information and existing parameter information, allowing for automated association and reducing manual work through a self-learning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping of semantic identifiers to field device parameters is performed, then configuration accuracy can be ensured, but configuration time and labor intensity increase significantly
Solution Approach 1:
The system creates a digital model (driver information) that replicates the structure and parameters of physical field devices. This digital copy contains pre-defined parameter information that can be automatically matched with semantic identifiers, eliminating the need for manual configuration while maintaining accuracy through the structured parameter relationships in the digital model
Solution Approach 2:
Parameter information is pre-prepared and stored in the driver information before the actual configuration process. The system performs preliminary classification and organization of parameters by their functional groups, so that when a new field device needs configuration, the matching process can quickly retrieve pre-organized parameter data without manual intervention
2Measurement precision
If manual mapping of semantic identifiers to field device parameters is performed, then configuration accuracy can be ensured, but error rate increases due to human factors
Solution Approach 1:
The system replaces the manual mechanical process of mapping semantic identifiers to parameters with an automated information processing system. The computer-implemented method uses algorithmic matching between semantic identifiers and driver parameter information, eliminating human errors such as typos, wrong associations, and fatigue-related mistakes while maintaining configuration accuracy
Solution Approach 2:
The system incorporates a feedback mechanism where the matching process compares semantic identifier requirements with available driver parameter information, evaluates the degree of match, and can prompt operators for confirmation or correction. This feedback loop ensures configuration accuracy while reducing errors through automated verification
3Productivity
If automated configuration is implemented, then configuration time is reduced, but adaptability to different field device types decreases
Solution Approach 1:
The system implements a universal driver information structure that can accommodate multiple types of field devices through a common parameter organization framework. The driver information is designed to be multi-functional, supporting different device types (field devices, control devices, smart devices) while maintaining a consistent interface for automated configuration processes
Solution Approach 2:
The system employs dynamic adaptability where the configuration process can adjust to different field device types based on the retrieved driver information. The parameter matching mechanism dynamically adapts to the specific device being configured while following the same automated workflow, ensuring both speed and versatility
Data Source
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AI summary
A computer-implemented method (100) for generating configuration information for a new field device (3) that is to be integrated into an industrial plant (1), comprising the steps of: • obtaining (110) driver information and/or software (3*) that allows communication with the new field device (3) and comprises, for each field device parameter (3a) of the new field device (3), new parameter information (3b) that identifies this parameter (3a) in the context of the new field device (3), and/or is indicative of how this parameter (3a) may be set; • obtaining (120) a list of one or more semantic identifiers (4) that are used in the industrial plant (1) to designate field device parameters (2a), and for each such semantic identifier (4): • determining (130) existing field device parameters (2a) with which the semantic identifier (4) is already associated in the industrial plant (1); • obtaining (140) existing parameter information (2b) stored in association with these existing field device parameters (2a), wherein this existing parameter information (2b) identifies the respective parameter (2a) in the context of the respective existing field device (2), and/or is indicative of how this parameter (2a) is to be set; • evaluating (150) to which extent (5) existing parameter information (2b) matches new parameter information (3b) with respect to a parameter (3a) of the new field device (3); and • based on this evaluated extent (5), associating (160) the semantic identifier (4) with this parameter (3a) of the new field device (3) as part of the sought configuration information for the new field device (3).