LLM Asset Metadata Standardization for Predictive Maintenance

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Solution Overview

Problem

Existing systems lack a standardized approach to structure information in OEM manuals, leading to inefficiencies and guesswork in maintenance strategies, resulting in unplanned downtime and resource mismanagement for industrial assets.

Innovation Solution

An LLM agent standardizes asset metadata by converting non-standardized data into a hierarchically organized format, generating performance trends, and providing access via APIs to facilitate proactive maintenance, including anomaly detection and parts forecasting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If non-standardized data formats from different domains are used to store asset metadata, then adaptability to various data sources is improved, but data consistency and reliability deteriorate

Engineering Contradiction:

Improveadaptability to various data sourcesVSAvoiddata consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent segments the data standardization process into distinct components: a controlled vocabulary layer that defines standardized terms, a mapping layer that connects non-standardized source data to standardized terms, and a data model layer that stores the standardized information. This segmentation allows the system to maintain adaptability to various data sources while ensuring data consistency through the standardized vocabulary layer.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary controlled vocabulary and mapping mechanism that sits between non-standardized data sources and the standardized data model. This intermediary layer translates and harmonizes data from different domains into a consistent standardized format, thereby maintaining both adaptability to diverse sources and reliability of the standardized output.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If manual maintenance strategies are used without standardized data, then operational flexibility is maintained, but productivity and response time deteriorate

Engineering Contradiction:

Improveoperational flexibilityVSAvoidmaintenance efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The patent enables the system to automatically generate performance trends, detect anomalies, and provide maintenance recommendations by leveraging the standardized data model and performance trends. This self-service capability eliminates the need for manual data processing while maintaining operational flexibility through configurable parameters and automated decision-making algorithms.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent implements feedback mechanisms where performance trends are continuously monitored and analyzed, and maintenance recommendations are provided based on the analyzed data. This feedback loop improves productivity by automating maintenance decision-making while maintaining operational flexibility through adjustable thresholds and configurable maintenance strategies.

Inventive Principle:

Principle #23Feedback

3Reliability

If standardized data formats are implemented across all assets, then data consistency and reliability are improved, but device complexity and implementation difficulty worsen

Engineering Contradiction:

Improvedata consistencyVSAvoidstandardization complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies local quality by allowing different data sources to maintain their own non-standardized formats locally while being mapped to a standardized format in the central data model. This approach ensures data consistency in the standardized layer without requiring changes to the complexity of individual data sources, thereby reducing overall implementation difficulty.

Inventive Principle:

Principle #3Local quality

4Reliability

If real-time performance monitoring and anomaly detection are implemented, then equipment reliability is improved, but use of energy and computational resources worsen

Engineering Contradiction:

Improveequipment reliabilityVSAvoidcomputational resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies partial action by focusing performance monitoring and anomaly detection on critical assets and key performance indicators rather than monitoring all assets comprehensively. This selective approach maintains equipment reliability for critical components while reducing overall computational resource consumption by concentrating analytical efforts where they provide the most value.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250348484A1LLM agent that generates a standardized data model from non standardized data

Publication Date: 2025.11.13 MAINTAINX INC

AI summary

A large language model (LLM) agent standardizes asset metadata and facilitates access to the resulting standardized data via one or more application programming interfaces (APIs). The LLM agent receives non-standardized data that includes first asset metadata describing a first asset and second asset metadata describing a second asset. The first asset metadata is obtained from a first domain and has a first format, and the second asset metadata is obtained from a second domain and has a second format. The data also includes sensor data. The LLM agent converts the different formats into a standardized format, resulting in generation of first standardized data. The LLM agent generates a data model that includes the standardized data and performance trend data. The LLM agent provides access to the data model via one or more APIs.