Unified Linear Data Analysis System for Rail Asset Maintenance

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Solution Overview

Problem

Current maintenance management systems for linear assets like railroads face challenges in efficiently analyzing and correlating dispersed data across independent systems, leading to information overload and the need for costly custom software to extract valuable insights, making it difficult to target maintenance resources effectively and plan for upgrades.

Innovation Solution

A unified system and method for analyzing linear data that integrates data from various sources into a centralized datastore, providing a library of functions for analysis and visualization tools, allowing users to import, align, and analyze data without developing new software, and offering a user interface for interactive analysis and result viewing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If data from multiple independent systems is combined into a common correlated data system, then the value and effectiveness of analysis is improved, but the complexity of the system increases

Engineering Contradiction:

Improveinformation completenessVSAvoidsystem complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent combines multiple independent data systems (track charts, property evaluation maps, topographic maps, and corridor asset data) into a single common correlated data system. This merging allows all data to be analyzed together in one unified environment, eliminating information loss that would occur with separate systems while managing complexity through integrated data structures.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The common correlated data system serves multiple functions: it stores track charts, property evaluation maps, topographic maps, and corridor asset data; it enables various types of analysis (maintenance planning, condition assessment, capital spending analysis); and it provides a universal platform for different user needs without requiring separate specialized systems.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If custom software is developed to extract knowledge from combined data sets, then the analysis capability is improved, but the cost and implementation effort increase significantly

Engineering Contradiction:

Improveanalysis capabilityVSAvoidimplementation cost

Core Design Contradiction:

Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The system provides a universal analysis platform that handles multiple data types and analysis scenarios without requiring custom software development. The common correlated data system is designed to accommodate various analysis needs (maintenance planning, condition assessment, performance evaluation) through a single versatile system that reduces implementation costs and effort.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs preliminary data processing and correlation during data ingestion, organizing data into a standardized format with spatial and temporal correlations pre-established. This preliminary action reduces the need for complex custom software later, as the data is already structured for analysis.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If detailed measurements and information are collected from multiple sources, then the measurement precision is improved, but information overload occurs

Engineering Contradiction:

Improvecondition assessment accuracyVSAvoiddata volume

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent merges data from multiple measurement sources (automatic inspection vehicles, visual inspections, in-service failures, geometry car measurements, rail measurements, gage restraint measurements) into a single correlated system. By combining these data streams with spatial and temporal context, the system maintains high measurement precision while managing data volume through integrated analysis capabilities.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The common correlated data system acts as an intermediary layer between raw measurement data and analysis applications. It processes, correlates, and organizes detailed measurements from multiple sources, providing a managed interface that delivers precise condition assessment information without overwhelming users with raw data volume.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Reliability

If track charts and maps are updated frequently to maintain accuracy, then the reliability of location information is improved, but the time and resources required for updates increase

Engineering Contradiction:

Improvelocation information accuracyVSAvoidupdate time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system provides a universal data collection framework that can ingest data from multiple sources simultaneously (automatic inspection vehicles, visual inspections, work records). This multi-functional approach allows comprehensive data collection without requiring frequent manual updates of individual track charts and maps, maintaining reliability while reducing update time and resource requirements.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS7680631B2Method and system for analyzing linear engineering information

Publication Date: 2010.03.16 BENTLEY SYSTEMS INC

AI summary

A system for analyzing linear data is provided. The system comprises a datastore of linear data correlated by distance; a library of functions that may be performed on the linear data; computer executable code stored on a computer readable medium for performing an analysis of the sets of linear data based on the functions in the library.