Device selection apparatus, data set selection apparatus, method for selecting device, and program

Patent metadata

Field	Value
Publication number	US-2022207289-A1
Application number	US-201816961713-A
Country	US
Kind code	A1
Filing date	Nov 29, 2018
Priority date	Feb 14, 2018
Publication date	Jun 30, 2022
Grant date	—

Abstract

Provided are a device selection apparatus, a method for selecting a device, and a program by which a device for outputting input data to a processing module can be selected as appropriate in order to realize a virtual sensor having a desired function. The processing module is associated with first metadata indicating an attribute of learning data. The device is associated with second metadata indicating an attribute of data output by the device. The device selection apparatus includes a first acquisition unit, a second acquisition unit, and a selection unit. The first acquisition unit acquires first metadata. The second acquisition unit acquires second metadata associated with a plurality of devices. The selection unit selects a device for outputting input data to a processing module based on the first metadata and the second metadata.

First claim

1 . A device selection apparatus configured to select a device for outputting input data to a processing module,
wherein the processing module is a trained model generated using a plurality of learning data, and is configured to generate, based on at least one of the input data, output data that is different from the input data, the processing module is associated with first metadata indicating an attribute of the learning data, the device is associated with second metadata indicating an attribute of input data output by the device, the device selection apparatus comprises: a first acquisition unit configured to acquire the first metadata; a second acquisition unit configured to acquire the second metadata associated with a plurality of devices; and a selection unit configured to select, from the plurality of devices, a device for outputting input data to the processing module based on the first metadata and the second metadata.

2 . The device selection apparatus according to claim 1 , further comprising:
a third acquisition unit configured to acquire one of a plurality of processing modules from a database in which the processing modules are stored, wherein the first acquisition unit is configured to acquire the first metadata associated with the processing module acquired by the third acquisition unit.

3 . The device selection apparatus according to claim 1 or 2 ,
wherein the third acquisition unit is configured to acquire the processing module from the database in accordance with a user instruction.

4 . The device selection apparatus according to any one of claims 1 to 3 ,
wherein the device is a sensor, and
the input data is sensing data generated by the sensor.

5 . The device selection apparatus according to any one of claims 1 to 4 ,
wherein the processing module is configured to generate the output data based on a plurality of the input data.

6 . The device selection apparatus according to any one of claims 1 to 5 ,
wherein the processing module is configured to be capable of switching the device for outputting the input data to the processing module.

7 . The device selection apparatus according to any one of claims 1 to 6 ,
wherein a virtual sensor is formed by the processing module and the device for outputting the input data to the processing module.

8 . A data set selection apparatus configured to select a data set to be input to a processing module,
wherein the data set is constituted by a plurality of data, the processing module is a trained model generated using a plurality of learning data, and is configured to generate, based on at least one of the input data, output data that is different from the input data, the processing module is associated with first metadata indicating an attribute of the learning data, the data set is associated with second metadata indicating an attribute of the data set, the data set selection apparatus comprises: a first acquisition unit configured to acquire the first metadata; a second acquisition unit configured to acquire the second metadata associated with a plurality of data sets; and a selection unit configured to select, from the plurality of data sets, a data set to be input to the processing module based on the first metadata and the second metadata.

9 . A method for selecting a device for outputting input data to a processing module,
wherein the processing module is a trained model generated using a plurality of learning data, and is configured to generate output data that is different from the input data based on at least one of the input data, the processing module is associated with first metadata indicating an attribute of the learning data, the device is associated with second metadata indicating an attribute of input data output by the device, the selection method comprises: a step of acquiring the first metadata; a step of acquiring the second metadata associated with a plurality of devices; and a step of selecting, from the plurality of devices, a device for outputting input data to the processing module based on the first metadata and the second metadata.

10 . A program for causing a computer to execute processing for selecting a device for outputting input data to a processing module,
wherein the processing module is a trained model generated using a plurality of learning data, and is configured to generate output data that is different from the input data based on at least one of the input data, the processing module is associated with first metadata indicating an attribute of the learning data, the device is associated with second metadata indicating an attribute of input data output by the device, the program is configured to cause the computer to execute: a step of acquiring the first metadata; a step of acquiring the second metadata associated with a plurality of devices; and a step of selecting, from the plurality of devices, a device for outputting input data to the processing module based on the first metadata and the second metadata.

Assignees

• Omron Tateisi Electronics Co

Inventors

• Yamato Tetsuji
• Yoshikawa Taiji

Classifications

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06F18/2115 Primary

  by evaluating different subsets according to an optimisation criterion, e.g. class separability, forward selection or backward elimination · CPC title

• G06V2201/10

  Recognition assisted with metadata · CPC title

• G06V10/774

  Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06F16/907

  Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually · CPC title