Facility equipment management device and abnormality detection method for facility equipment

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Solution Overview

Problem

Existing facility device management systems face challenges in accurately detecting abnormalities while managing complex mathematical models for individual devices and accounting for operating environments, leading to inefficient and inaccurate detection.

Innovation Solution

A facility device management apparatus that groups devices with similar specifications and operating environments, calculates feature values and difference values, and uses median or average values as determination thresholds to detect abnormalities without complex modeling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a mathematical model is constructed for each individual facility device to achieve highly accurate abnormality determination considering operating environment, then abnormality detection accuracy is improved, but device complexity and management burden increase significantly

Engineering Contradiction:
Improveabnormality detection accuracyVSAvoidmodel management complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges multiple individual device models into a single general mathematical model that processes data from multiple facility devices collectively. This consolidation maintains the ability to detect abnormalities accurately while significantly reducing the complexity of managing numerous separate models.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal general mathematical model that can be applied to multiple facility devices with similar specifications and operating environments. This single model performs the function of what would otherwise require multiple device-specific models, simplifying management while maintaining detection accuracy through comparative analysis.

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

2Device complexity

If a general mathematical model is used for multiple facility devices to simplify model management, then device complexity is reduced, but abnormality detection accuracy deteriorates due to inability to account for individual operating environments

Engineering Contradiction:
Improvemodel management complexityVSAvoidabnormality detection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies local quality by selecting facility devices with similar specifications and operating environments for comparison. This ensures that the general mathematical model operates within a consistent environmental context, maintaining detection accuracy despite using a unified model approach.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent incorporates feedback mechanisms where the system continuously monitors operation data from multiple devices, compares actual values against the general model predictions, and uses the collective data to refine abnormality detection. This feedback loop compensates for the lack of individualized modeling.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If individual mathematical models are constructed for each facility device to capture operating environment characteristics, then abnormality detection accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:
Improveabnormality detection accuracyVSAvoiddetermination processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

By merging the determination processing into a single general mathematical model that handles multiple devices simultaneously, the patent reduces the total processing time compared to running separate models for each device, while maintaining detection accuracy through comparative analysis of similar devices.

Inventive Principle:
Principle #5Merging (Combining)

4Productivity

If a general mathematical model is used for multiple facility devices, then processing efficiency is improved, but detection accuracy deteriorates due to lack of device-specific environmental considerations

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidabnormality detection accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent ensures that the general mathematical model operates on data from devices with locally similar characteristics (same specifications and operating environments), which maintains detection accuracy while benefiting from the efficiency of a unified processing approach.

Inventive Principle:
Principle #3Local quality

Data Source

PatentEP4621323A1Facility equipment management device and abnormality detection method for facility equipment
Publication Date: 2025.09.24 CARRIER JAPAN CORP
  • EP4621323A1 patent drawingFigure 1
  • EP4621323A1 patent drawingFigure 2~3
  • EP4621323A1 patent drawingFigure 4(a)~5

AI summary

A facility device management apparatus (20) and abnormality detection method for a facility device (10) includes an operation information acquisition unit (221), a determination value calculation unit (222), and an abnormality detection unit (223). The operation information acquisition unit (221) is configured to acquire operation status information related to a predetermined item for each predetermined time from each of three or more facility devices that are predetermined to be configured with the same specification and to have a similar operating environment. The determination value calculation unit (222) is configured to calculate a feature value of operation status information related to the predetermined item for each facility device included in the three or more facility devices, calculate a difference value between feature values of one of the three or more facility devices and each of the other of the three or more facility devices, and calculate a median value or an average value of calculated difference values as a determination value of relevant facility devices. The abnormality detection unit (223) is configured to detect the facility device that has a determination value exceeding a preset threshold as a facility device in which an abnormality has occurred with respect to the operation status information.