Field Device Parameterization Using a Server Digital Twin
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Solution Overview
Problem
The complexity and time-consuming nature of parameterizing field devices in industrial settings, especially for installation operators who lack detailed knowledge of the devices' parameters and their applications, makes it difficult to start up or maintain these devices without external assistance.
Innovation Solution
A method that allows field devices to be parameterized through a server-connected process, where identification information is transmitted to generate a digital image of the device, enabling the creation and confirmation of a parameter set, which is then transmitted and applied to the device, using a mobile device or directly through the device's interface, with cognitive algorithms for dynamic query generation and artificial intelligence for voice input analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If field devices have multiple parameters for adaptation and configuration, then the device functionality and adaptability are improved, but the parameterization complexity and time consumption increase
Solution Approach 1:
A server acts as an intermediary between the field device and the user. The server stores device-specific information, retrieves it based on device identification, and presents it in a user-friendly format. This intermediary handles the complexity of parameter relationships, allowing users to configure devices without needing to understand the underlying complex parameter interactions.
Solution Approach 2:
Device-specific information and parameter recommendations are prepared in advance and stored on the server. When a field device is connected, the system automatically retrieves pre-prepared configuration data and parameter suggestions based on the device type and identification, eliminating the need for users to manually research or calculate appropriate parameter values.
2Manufacturing precision
If detailed knowledge of parameters and applications is required for proper parameterization, then the parameterization precision is improved, but the ease of operation deteriorates
Solution Approach 1:
The system enables users to perform parameterization independently without requiring external service technicians or deep expert knowledge. The server provides automated guidance, device-specific information, and parameter recommendations that allow end-users to correctly configure their field devices through a simplified interface, making the system self-sufficient.
Solution Approach 2:
The server mediates between the user and complex parameter requirements by translating technical specifications into user-friendly configuration options. It automatically matches device characteristics with appropriate parameter settings, ensuring precise parameterization while keeping the user interface simple and accessible.
3Manufacturing precision
If external service technicians are used for parameterization, then the parameterization precision is improved, but the loss of time and operational independence deteriorate
Solution Approach 1:
The system empowers end-users to perform parameterization tasks independently without needing to wait for external service technicians. By providing automated access to device-specific information and parameter recommendations through a user-friendly interface, the system eliminates dependency on external experts and enables immediate on-site configuration.
Solution Approach 2:
All necessary device information and parameter guidance are pre-prepared and stored on the server before the user needs them. When parameterization is initiated, the system instantly retrieves and presents the relevant information, eliminating the time delay associated with waiting for external technicians to arrive or consult documentation.
4Manufacturing precision
If comprehensive device information is stored and processed on the server, then the parameterization accuracy is improved, but the data transmission and processing time increase
Solution Approach 1:
The system extracts only the essential device-specific information and parameter recommendations needed for parameterization from the comprehensive server database. Rather than transmitting or processing all available data, the system identifies and retrieves only the relevant parameters and configuration data specific to the connected field device, minimizing data transmission time while maintaining parameterization accuracy.
Data Source
AI summary
The present disclosure relates to a method for parameterizing an automation field device which is communicatively connected to a server, having the following steps: initiating the method by transmitting a command to parameterize the field device on the server; transmitting identification information of the field device to the server; ascertaining a digital image of the field device stored on the server using the transmitted identification information, said digital image containing configuration settings of the field device and measurement location-relevant information and being designed to reproduce the behavior of the field device in a simulated or emulated manner; generating and proposing a parameter set for the field device using the field device information; selecting and confirming the proposed parameter set by a user; and transmitting the confirmed parameter set to the field device and parameterizing the field device using the transmitted parameter set.