PREPARING DEVICE, DEBUGGING DEVICE, DATA PREPARING METHOD, AND DATA PREPARING PROGRAM

• US 20200133244A1
• Filed: 10/10/2019
• Published: 04/30/2020
• Est. Priority Date: 10/30/2018
• Status: Active Application

• Current Assignee: Fanuc Corporation
• Original Assignee: Fanuc Corporation
• Inventors: KAMIGUCHI, Masao, SAMUKAWA, Koji, NISHI, Hiroji, MUTAI, Norinaga
• Application Number:
  US16/598,247
• Publication Number:
  US 20200133244A1
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/4187 by tool management
• CPC Class Codes: G05B 23/0227 Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
• CPC Class Codes: G05B 23/0272 Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user
• CPC Class Codes: G05B 23/0294 Optimizing process, e.g. process efficiency, product quality
• CPC Class Codes: G06F 11/3068 where the reporting involves data format conversion
• CPC Class Codes: G06F 11/3072 where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

Provided is a data preparing device, a data preparing method, and a data preparing program that can accumulate information in which operating states of equipment when a specific event occurs in the equipment are organized. An edge server includes a collection section configured to collect time series data from equipment, a storage unit configured to define a situation in which any of items or a combination of the items included in the time series data becomes a predetermined value as an event, and store a storing rule that defines, for each of the events, an item of associated data as a storing target; and a conversion section configured to extract the associated data from the time series data for each of the events in accordance with the storing rule and convert resultant data into event data.

Claims

1. A data preparing device comprising:

a collection section configured to collect time series data from equipment;

a storage unit configured to define a situation in which any of items or a combination of the items included in the time series data becomes a predetermined value as an event, and store a storing rule that defines, for each of the events, an item of associated data as a storing target; and

a conversion section configured to extract the associated data from the time series data for each of the events in accordance with the storing rule, and convert resultant data into event data.

2. The data preparing device according to claim 1, wherein the storing rule defines, for each of the events, a period for extracting each piece of the associated data.

3. The data preparing device according to claim 1, further comprising:

a display section configured to extract, from the event data, the events that occur in a predetermined period in a designated piece of the equipment, and synchronize each of the events in a time series manner to display the events.

4. A debugging device having a test environment of application programs that operate on a basis of the event data prepared in the data preparing device according to claim 1, the debugging device comprising:

a receiving section configured to receive the event data; and

a storing section configured to store, in a reference area of the application programs in the test environment, the event data that have been received.

6. A non-transitory computer-readable medium encoded with a data preparing program that causes a computer to function as the data preparing device according to claim 1.

5. A data preparing method executed by a computer, the method comprising the steps of:

collecting time series data from equipment, and

defining a situation in which any of items or a combination of the items included in the time series data becomes a predetermined value as an event, and extracting associated data from the time series data for each of the events in accordance with a storing rule that defines, for each of the events, an item of the associated data as a storing target and converting resultant data into event data.