Facility device management apparatus and abnormality detection method for facility device
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Solution Overview
Problem
Existing facility device management systems face challenges in accurately detecting abnormalities in large numbers of devices due to variations in operating environments and degradation over time, especially when using centralized or generalized mathematical models.
Innovation Solution
An air conditioning facility management apparatus groups devices by specifications and environment, calculates feature values and determination values based on operation status information, and compares these values to predefined thresholds to detect abnormalities without complex machine learning, using simple numerical calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized mathematical model is constructed for each facility device to detect abnormalities, then abnormality detection accuracy is improved, but device complexity and computational burden increase
Solution Approach 1:
The patent segments the facility devices into multiple groups based on their specifications and operating environments. Instead of constructing a separate complex mathematical model for each individual device, the system creates a determination value for each group by comparing feature values of devices within the same group. This segmentation approach maintains detection accuracy by accounting for device-specific characteristics while significantly reducing the computational burden and complexity of model construction.
2Device complexity
If a general mathematical model is constructed for all facility devices to simplify management, then device complexity is reduced, but abnormality detection accuracy deteriorates due to environmental variations
Solution Approach 1:
The patent applies the local quality principle by creating determination values that are specific to each group of facility devices with similar specifications and operating environments. Instead of using a single general model for all devices, the system tailors the determination values to local characteristics of each group, thereby maintaining detection accuracy while still simplifying management through grouping. This allows the system to account for environmental variations without requiring individualized complex models for each device.
3Ease of operation
If facility devices are monitored using traditional methods without considering degradation over time, then ease of operation is maintained, but reliability of abnormality detection decreases
Solution Approach 1:
The patent implements preliminary action by pre-calculating determination values for each group of facility devices based on their historical operation data and characteristics. These determination values are stored and can be directly applied when monitoring devices, eliminating the need for complex real-time analysis while accounting for degradation over time. This approach maintains ease of operation by using pre-computed reference values while improving reliability by incorporating temporal degradation effects into the determination criteria.
Data Source
AI summary
A facility device management apparatus includes: an operation information acquisition unit configured to acquire operation status information related to a predetermined item for each predetermined time from each of three or more facility devices; a determination value calculation unit configured to calculate a feature value of operation status information related to the predetermined item for each facility device included in the facility devices, calculate a difference value between feature values of one of the facility devices and each of the other of the facility devices, and calculate a median value or an average value of calculated difference values as a determination value of relevant facility devices; and an abnormality detection unit 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.


