Equipment Operation Pattern Classification for Change Point Detection
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Solution Overview
Problem
Existing methods fail to identify changes in the operating patterns of equipment devices in facilities, leading to inefficient operation control due to factors like equipment additions, replacements, re-layouts, tenant changes, and infectious disease outbreaks.
Innovation Solution
A management device and system that acquires operating history data and classifies operating patterns by calculating first and second operating patterns within divided time periods, determining the degree of change, and splitting the time period at a calculated split point where the degree of change meets a prescribed condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If equipment devices are operated independently or in parallel based on load, then energy conservation is improved, but operation patterns become difficult to determine objectively
Solution Approach 1:
The system implements feedback by continuously monitoring operating history data and automatically classifying operation patterns using clustering algorithms. This closed-loop approach replaces subjective operator judgment with objective automated analysis, accurately determining operation patterns while maintaining energy conservation benefits.
Solution Approach 2:
The patent replaces the mechanical/subjective system of operator experience-based judgment with an automated information processing system using clustering algorithms. This substitution enables objective, precise classification of operation patterns without relying on human intuition, resolving the contradiction between energy conservation and accurate pattern determination.
2Extent of automation
If conventional clustering methods are used to classify equipment devices, then operation patterns are classified, but changes in operating patterns over time are not identified
Solution Approach 1:
The patent segments the classification process into distinct phases: initial clustering to establish baseline operation patterns, and subsequent change detection phases that compare current operations against historical patterns. This segmentation enables the system to both classify patterns automatically and identify when changes occur, preventing information loss about pattern evolution.
Solution Approach 2:
The system performs preliminary clustering to establish reference operation patterns before monitoring for changes. By pre-processing the data to create baseline patterns, the system is prepared to detect deviations efficiently, maintaining both automated classification capability and change detection sensitivity without information loss.
3Adaptability or versatility
If equipment devices are reconfigured due to various factors, then facility adaptability is improved, but operating patterns become inefficient without reidentification
Solution Approach 1:
The system uses feedback mechanisms to continuously monitor operating history data and automatically detect when reconfigurations have altered operation patterns. This real-time feedback enables the system to identify efficiency changes resulting from facility reconfigurations and trigger appropriate responses, maintaining productivity despite adaptability changes.
Solution Approach 2:
The patent implements self-service through automated change detection and pattern reclassification capabilities. When facility reconfigurations occur, the system automatically detects the changes in operating patterns and initiates reclassification without external intervention, maintaining operation control efficiency while accommodating facility adaptability improvements.
Data Source
AI summary
A management device includes: an acquisition unit that acquires operating history data for an equipment device in a prescribed time period; and a classification processing unit that classifies, based on the operating history data acquired by the acquisition unit, an operating pattern of the equipment device in the prescribed time period. The classification processing unit includes: an operating pattern calculation unit that calculates a first operating pattern in a first time period and a second operating pattern in a remaining second time period when the prescribed time period is divided into unit time periods; a change calculation unit that calculates a degree of change in the operating pattern using the first operating pattern and the second operating pattern when the prescribed time period is divided into unit time periods; a split point calculation unit that calculates, as a split time point, a time point where the degree of change satisfies a prescribed condition for the prescribed time period; and a split processing unit that splits the prescribed time period at the calculated split time point.