Naval Data Collection Framework for Predictive Maintenance

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Solution Overview

Problem

Current data collection and analysis processes in naval information systems are manual, tedious, and lack integration, leading to difficulty in synchronizing disparate systems, inadequate health monitoring, and delayed fleet support responses due to the lack of objective-based modeling and quantitative data analysis, which hampers system readiness and lifecycle sustainment.

Innovation Solution

A comprehensive data collection and analysis system comprising networked elements, collection devices, a data management system, and a data analysis network that enables secure data communication, fault detection, and predictive maintenance actions, including determination of remaining useful life (RUL) and failure mode identification, to support proactive maintenance and system readiness assessment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual data collection and analysis processes are used, then system simplicity is maintained, but productivity and response time deteriorate

Engineering Contradiction:

Improvedata collection and analysis efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables self-service through automated data collection devices that autonomously gather data from multiple systems, and through self-diagnostic capabilities that automatically analyze data and generate maintenance recommendations without requiring manual intervention

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical data collection processes are replaced with electronic automated collection devices that interface with multiple systems through digital protocols, substituting human operators with automated software agents that collect, transmit, and analyze data

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If large scale continuous data collection is implemented, then measurement precision is improved, but bandwidth consumption and operational impact worsen

Engineering Contradiction:

Improvesystem status monitoring accuracyVSAvoidbandwidth consumption

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The system implements partial data collection by selectively gathering only critical parameters and metrics needed for specific analysis objectives, rather than continuously collecting all possible data, thus reducing bandwidth consumption while maintaining measurement precision for key indicators

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

Data collection occurs periodically at optimized intervals rather than continuously, with the system adjusting collection frequency based on system state and priority, thereby reducing overall bandwidth consumption while maintaining adequate monitoring precision

Inventive Principle:

Principle #19Periodic action

3Reliability

If quantitative data analysis is implemented, then reliability of recommendations is improved, but device complexity worsens

Engineering Contradiction:

Improverecommendation accuracyVSAvoidanalysis system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system introduces an intermediary data management layer that standardizes data from multiple sources into uniform formats, and an intermediary analysis engine that applies standardized quantitative methods, thereby improving recommendation reliability while containing complexity through modular architecture

Inventive Principle:

Principle #24Intermediary (Mediator)

4Adaptability or versatility

If integration of multiple disparate systems is achieved, then adaptability is improved, but device complexity worsens

Engineering Contradiction:

Improvemulti-system integration capabilityVSAvoidsystem integration complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The data collection system is designed with universal interfaces and standardized protocols that enable it to collect data from multiple disparate systems through common methods, providing multi-functionality without requiring separate specialized components for each system type

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10057144B2Remote system data collection and analysis framework

Publication Date: 2018.08.21 THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY

AI summary

A system for data collection and analysis is provided comprising a first network having at least one system element, at least one collection device communicably coupled to the at least one system element and configured to receive data communications from the least one system element and transmit the data. The system including a data management system communicably coupled to the collection device and configured to receive and store the transmitted data. The system further including a data analysis network communicably coupled to the first network and configured to retrieve data from the first network, the data analysis network including a management server having logic configured to at least one of analyze the retrieved data and determine remaining useful life (RUL) of at least one system element, identify a failure mode associated with the at least one system element, and determine a maintenance action sufficient to remedy a system failure corresponding to the identified failure mode.