Automated Fault Model Construction from Network Diagrams

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Solution Overview

Problem

Manual construction of fault models for automated troubleshooting of complex systems is expensive, time-consuming, and error-prone, hindering the deployment of automated diagnostic systems.

Innovation Solution

A method for automatically generating a fault model from a network diagram by parsing it to identify schematic components and interfaces, mapping them to standard components and interfaces, and generating failure information based on standard failure modes to construct a specific fault model.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual construction of fault models is performed, then accuracy and customization of diagnostic systems can be achieved, but cost and time consumption increase significantly

Engineering Contradiction:
Improveaccuracy of fault modelVSAvoidtime consumption
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically generating fault models from network diagrams before actual diagnostic operations. The fault model construction is prepared in advance through automated parsing of schematic components and interfaces, mapping them to standardized representations, and generating failure information. This preliminary automated construction eliminates the need for manual, time-consuming fault model creation while maintaining diagnostic accuracy.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If manual construction of fault models is performed, then diagnostic accuracy can be maintained, but cost increases significantly

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidcost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The system creates standardized copies of fault model structures from network diagrams. By parsing schematic components and interfaces and mapping them to standardized representations, the system generates reusable fault models that can be applied across multiple diagnostic scenarios. This copying approach maintains diagnostic accuracy while significantly reducing the cost of individual fault model constructions.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The fault model construction system achieves universality by using standardized component and interface representations that can be applied across different diagnostic scenarios. The automated system parses various network diagrams and generates consistent fault models using the same methodology, making the diagnostic capability universally applicable while reducing per-case costs.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If automated fault model construction is implemented, then productivity and cost efficiency improve, but system complexity increases

Engineering Contradiction:
Improvefault model construction speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The automated fault model construction system is segmented into distinct functional modules: network diagram parsing, schematic component identification, interface identification, standardized mapping, and failure information generation. Each module performs a specific function, making the overall complex system manageable through modular design. This segmentation enables high productivity while controlling system complexity through clear separation of concerns.

Inventive Principle:
Principle #1Segmentation

4Productivity

If automated fault model construction is implemented, then deployment efficiency improves, but error potential in automation increases

Engineering Contradiction:
Improvedeployment efficiencyVSAvoiderror rate
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The automated fault model construction system incorporates feedback mechanisms to verify the accuracy of parsed network diagrams, the correctness of component and interface mappings, and the validity of generated failure information. This feedback loop ensures that automated construction maintains high reliability by detecting and correcting errors, enabling efficient deployment with controlled error rates.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10325383B2Automated construction of diagnostic fault model from network diagram
Publication Date: 2019.06.18 HONEYWELL INTERNATIONAL INC
  • US10325383B2 patent drawing
  • US10325383B2 patent drawing
  • US10325383B2 patent drawing

AI summary

A method of automatically generating a fault model from a network diagram comprising parsing a network diagram to identify schematic components and schematic interfaces, mapping each schematic component to a respective standard component, and mapping each schematic interface to a respective standard interface, generating component failure information for each schematic component based on the respective standard component, wherein component failure information includes standard failure modes of the respective standard component, generating interface failure information for each schematic interface based on the respective standard interface, wherein interface failure information includes standard failure modes of the respective standard interface, and constructing a fault model specific to the network diagram based on component failure information and interface failure information.