Predictive detection apparatus, predictive detection system, and predictive detection method

Patent metadata

Field	Value
Publication number	US-2025060741-A1
Application number	US-202218696932-A
Country	US
Kind code	A1
Filing date	Oct 21, 2022
Priority date	Nov 2, 2021
Publication date	Feb 20, 2025
Grant date	—

Abstract

A predictive detection apparatus includes a preprocessing section that acquires a chronological feature amount indicating an operational status of an apparatus to be cooled which includes a heat source and a cooling section that cools the heat source with a cooling medium, and a model creation section that generates a training data set in reference to the chronological feature amount acquired by the preprocessing section and a label indicating whether a cooling capability provided by the cooling section is normal or abnormal, and that uses the training data set to create a predictive detection model.

First claim

1 . A predictive detection apparatus comprising:
a preprocessing section that acquires a chronological feature amount indicating an operational status of an apparatus to be cooled which includes a heat source and a cooling section that cools the heat source with a cooling medium; and a model creation section that generates a training data set in reference to the chronological feature amount acquired by the preprocessing section and a label indicating whether a cooling capability provided by the cooling section is normal or abnormal, and that uses the training data set to create a predictive detection model.

2 . The predictive detection apparatus according to claim 1 , wherein
the preprocessing section acquires chronological sensor data indicating the operational status of the apparatus to be cooled which is detected by the apparatus to be cooled and including an operating load on the heat source, and acquires, as the feature amount, sensor data indicating the operating load equal to or greater than a threshold from among the pieces of chronological sensor data.

3 . The predictive detection apparatus according to claim 1 , wherein
the preprocessing section acquires chronological sensor data indicating the operational status of the apparatus to be cooled which is detected by the apparatus to be cooled and including a temperature of the cooling medium, and acquires, as the feature amount, sensor data indicating the temperature equal to or higher than a threshold from among the pieces of chronological sensor data.

4 . The predictive detection apparatus according to claim 1 , wherein
the preprocessing section acquires, as the feature amount, chronological sensor data indicating the operational status of the apparatus to be cooled which is detected by the apparatus to be cooled and including a temperature of the cooling medium, and the model creation section generates the training data set according to a rising trend of the temperature in the feature amount.

5 . The predictive detection apparatus according to claim 1 , wherein
The preprocessing section frequency-converts chronological sensor data indicating the operational status of the apparatus to be cooled which is detected by the apparatus to be cooled, to acquire the feature amount of a frequency component.

6 . The predictive detection apparatus according to claim 1 , comprising:
a predictive detection section that inputs the feature amount of a prediction target to the predictive detection model, to output a diagnosis result diagnosing a cooling capability provided by the cooling section.

7 . A predictive detection system comprising:
a first apparatus including an apparatus to be cooled which includes a heat source and a cooling section that cools the heat source with a cooling medium; a second apparatus including a label indicating whether a cooling capability provided by the cooling section is normal or abnormal, and a third apparatus that is able to communicate with the first apparatus and the second apparatus, wherein the second apparatus includes
a preprocessing section that acquires a chronological feature amount indicating an operational status of the apparatus to be cooled, and
a model creation section that generates a training data set in reference to the chronological feature amount acquired by the preprocessing section and the label, and that uses the training data set to create a predictive detection model, and
the third apparatus includes
a preprocessing section that acquires a chronological feature amount indicating an operational status of the apparatus to be cooled, and
a predictive detection section that inputs the feature amount of a prediction target acquired by the preprocessing section to the predictive detection model acquired by the model creation section, to output a diagnosis result diagnosing the cooling capability provided by the cooling section.

8 . A predictive detection system comprising:
a first apparatus including an apparatus to be cooled which includes a heat source and a cooling section that cools the heat source with a cooling medium; a second apparatus including a label indicating whether a cooling capability provided by the cooling section is normal or abnormal, and a third apparatus that is able to communicate with the first apparatus and the second apparatus, wherein the first apparatus includes
a preprocessing section that acquires a chronological feature amount indicating an operational status of the apparatus to be cooled,
the second apparatus includes
a model creation section that generates a training data set according to the chronological feature amount acquired by the preprocessing section and the label, and that uses the training data set to create a predictive detection model, and
the third apparatus includes
a predictive detection section inputting the feature amount of a prediction target to the predictive detection model to output a diagnosis result diagnosing the cooling capability provided by the cooling section.

9 . The predictive detection system according to claim 8 , wherein,
in the first apparatus, the preprocessing section frequency-converts chronological sensor data indicating the operational status of the apparatus to be cooled which is detected by the apparatus to be cooled, to acquire the feature amount of a frequency component, and, in the second apparatus, the model creation section generates the training data set in reference to the chronological feature amount of the frequency component acquired by the preprocessing section and the label, and creates the predictive detection model.

10 . A predictive detection method executed by a predictive detection apparatus including a processor that executes a program and a storage device that stores the program, wherein
the processor executes
preprocessing of acquiring a chronological feature amount indicating an operational status of an apparatus to be cooled which includes a heat source and a cooling section that cools the heat source with a cooling medium, and
creation processing of generating a training data set in reference to the chronological feature amount acquired by the preprocessing and a label indicating whether a cooling capability provided by the cooling section is normal or abnormal, and using the training data set to create a predictive detection model.

Assignees

• Hitachi Ltd

Inventors

• Nojiri Tohru

Classifications

• G05B23/02

  Electric testing or monitoring · CPC title

• G05B23/0283 Primary

  Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06) · CPC title

• G05D23/1927

  using a plurality of sensors (G05D23/1902, G05D23/1917, and G05D23/1919 take precedence) · CPC title

• F25B49/02

  for compression type machines, plants or systems · CPC title