AI Fieldbus Configuration for Reliable Parameter Selection

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Solution Overview

Problem

The manual selection and configuration of fieldbus systems are time-consuming, error-prone, and require expert knowledge, leading to potential damage and inefficiencies in data and energy transmission between participants.

Innovation Solution

A computer-implemented method for the at least partially automated configuration of fieldbus systems, which involves collecting fieldbus system information, determining configuration parameters, and configuring the fieldbus using a trained AI model to reduce human intervention and errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual configuration of fieldbus is performed by human experts, then configuration accuracy and reliability are improved, but time consumption and operational complexity increase

Engineering Contradiction:

Improveconfiguration accuracyVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The fieldbus configuration system performs self-configuration by automatically collecting device information, selecting appropriate configuration parameters, and applying settings without requiring manual intervention by human experts. The system services itself by reading device capabilities directly from the devices and autonomously completing the configuration process.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of expert configuration with an automated electronic system. The automated configuration device substitutes human experts by electronically collecting device information, processing it through algorithms, and automatically applying configuration settings, thereby eliminating the need for manual expert intervention.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual configuration of fieldbus is performed, then flexibility and adaptability are improved, but error rate and susceptibility to damage increase

Engineering Contradiction:

Improveconfiguration flexibilityVSAvoiderror rate

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The automated configuration device implements feedback by reading actual device information directly from the fieldbus devices during the configuration process. The system collects real device capabilities and characteristics, uses this feedback to automatically select appropriate configuration parameters, and adjusts settings based on actual device responses, thereby reducing errors while maintaining adaptability.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system automatically changes configuration parameters based on collected device information. It dynamically selects and applies appropriate parameter values for baud rate, data format, and other fieldbus settings according to the specific capabilities of the devices being configured, maintaining flexibility while eliminating manual errors.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated configuration is implemented, then productivity and time efficiency are improved, but configuration complexity and expertise requirements increase

Engineering Contradiction:

Improveconfiguration efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated configuration device breaks down the configuration process into distinct functional segments: information collection, parameter selection, and configuration application. Each segment is handled by specific functional modules within the automated system, making the complex process manageable and executable without requiring overall system understanding by users.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The automated configuration device acts as an intermediary between fieldbus devices and configuration settings. It mediates the complex interaction by automatically translating device capabilities into appropriate configuration parameters, shielding users from the underlying complexity while maintaining high productivity.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20240414055A1Computer-implemented method for the at least partially automated configuration of a field bus, field bus system, computer program, computer-readable storage medium, training data set and method for training a configuration ai model

Publication Date: 2024.12.12 WAGO VERW GMBH

AI summary

A computer-implemented method for configuring a fieldbus that connects at least two participants of an associated fieldbus system, an associated fieldbus system, a computer program, a computer-readable storage medium, a training data set and a method for training a configuration AI model. The method comprises the following steps: an information collection step comprising collecting one or more fieldbus system information that characterize the associated fieldbus system, a configuration parameter value determination step comprising determining one or more parameter values of one or more configuration parameters for configuring the fieldbus of the fieldbus system. The determination of the one or more parameter values is dependent on at least part of the collected fieldbus system information. A configuration step includes configuring the fieldbus with the one or more parameter values of the one or more configuration parameters determined in the configuration parameter value determination step.