Data selection assist device and data selection assist method
US-2022405161-A1 · Dec 22, 2022 · US
US12309230B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12309230-B2 |
| Application number | US-202318382196-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 20, 2023 |
| Priority date | Apr 28, 2021 |
| Publication date | May 20, 2025 |
| Grant date | May 20, 2025 |
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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.
Opening claim text (preview).
The invention claimed is: 1. A management device comprising: a central processing unit (CPU); and a memory storing a program, the CPU executing the program to acquire operating history data for an equipment device in a prescribed time period, and classify, based on the acquired operating history data, an operating pattern of the equipment device in the prescribed time period and the classifying the operating pattern including calculating a first operating pattern in a first time period before a first time point that virtually splits the prescribed time period and a second operating pattern in a remaining second time period, changing the virtual split time point to a second time point based on a unit time, calculating a degree of change in the operating pattern using a third operating pattern in a third time period before the second time point and a fourth operating pattern in a fourth time period after the second time point in the prescribed time period when the virtual split time point is changed to the second time point, calculating, as a split time point, a time point where the degree of change satisfies a prescribed condition for the prescribed time period, and dividing and classifying the operating pattern of the equipment device at the calculated split time point. 2. The management device according to claim 1 , wherein the CPU displays a result of the split of the prescribed time period. 3. The management device according to claim 1 , wherein the CPU calculates a first operating pattern indicating an operating ratio for each time of day in the first time period, and a second operating pattern indicating an operating ratio for each time of day in the second time period. 4. The management device according to claim 1 , wherein the CPU calculates a first operating pattern indicating an operating ratio for each day of the week in the first time period, and a second operating pattern indicating an operating ratio for each day of the week in the second time period. 5. The management device according to claim 1 , wherein the CPU calculates a first operating pattern indicating a distribution of an operating ratio for each operation mode of the equipment device in the first time period, and a second operating pattern indicating a distribution of an operating ratio for each operation mode of the equipment device in the second time period. 6. The management device according to claim 1 , wherein the CPU calculates a first operating pattern indicating a distribution of each set temperature in the first time period, and a second operating pattern indicating a distribution of the set temperature in the second time period. 7. The management device according to claim 1 , wherein the CPU calculates a waveform difference between the first operating pattern and the second operating pattern as the degree of change. 8. The management device according to claim 1 , wherein the CPU calculates the degree of change in the operating pattern using the operating pattern in the entire prescribed time period, and the first operating pattern and the second operating pattern when the virtual split time point is changed to the second time point based on the unit time. 9. A management system comprising: at least one or more equipment devices; a central processing unit (CPU); and a memory storing a program, the CPU executing the program to acquire operating history data for the equipment device in a prescribed time period, and classify, based on the acquired operating history data, an operating pattern of the equipment device in the prescribed time period, and the classifying the operating pattern including calculating a first operating pattern in a first time period before a first time point that virtually splits the prescribed time period and a second operating pattern in a remaining second time period, changing the virtual split time point to a second time point based on a unit time, calculating a degree of change in the operating pattern using a third operating pattern in a third time period before the second time point and a fourth operating pattern in a fourth time period after the second time point in the prescribed time period when the virtual split time point is changed to the second time point, calculating, as a split time point, a time point where the degree of change satisfies a prescribed condition for the prescribed time period, and dividing and classifying the operating pattern of the equipment device at the calculated split time point. 10. A management method comprising: acquiring operating history data for an equipment device in a prescribed time period; and classifying, based on the acquired operating history data, an operating pattern of the equipment device in the prescribed time period, the classifying the operating pattern including calculating a first operating pattern in a first time period before a first time point that virtually splits the prescribed time period and a second operating pattern in a remaining second time period, changing the virtual split time point to a second time point based on a unit time, calculating a degree of change in the operating pattern using a third operating pattern in a third time period before the second time point and a fourth operating pattern in a fourth time period after the second time point in the prescribed time period when the virtual split time point is changed to the second time point, calculating, as a split time point, a time point where the degree of change satisfies a prescribed condition for the prescribed time period, and dividing and classifying the operating pattern of the equipment device at the calculated split time point.
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