Machine learning device, prediction device, and controller

A predictive device and machine learning technology, applied in machine learning, computer control, testing/monitoring control systems, etc.

Pending Publication Date: 2020-10-27
FANUC LTD
View PDF13 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the judgment of whether to maintain the cutting fluid or to replace the full fluid and the judgment of the timing require the operator to have relative experience, which becomes a large burden for the operator.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Machine learning device, prediction device, and controller
  • Machine learning device, prediction device, and controller
  • Machine learning device, prediction device, and controller

Examples

Experimental program
Comparison scheme
Effect test

Deformed example 1

[0132] In the above-mentioned embodiment, the machine learning device 50 is illustrated as a device different from the control device 10, the machine tool 20, and the prediction device 40. However, the control device 10, the machine tool 20, or the prediction device 40 may be provided with the machine learning device 50. Part or all of the functions.

Deformed example 2

[0134] In addition, for example, in the above-mentioned embodiment, the prediction device 40 is illustrated as a device different from the control device 10 or the machine tool 20, but the control device 10 or the machine tool 20 may be provided with a part or all of the functions of the prediction device 40.

[0135] Alternatively, for example, the server may be provided with a part or all of the input unit 401, the prediction unit 402, the decision unit 403, the notification unit 404, and the storage unit 405 of the prediction device 40. In addition, each function of the prediction device 40 may be realized by using a virtual server function or the like on the cloud.

[0136] In addition, the prediction device 40 can be used as a distributed processing system in which each function of the prediction device 40 is appropriately distributed to a plurality of servers.

Deformed example 3

[0138] In addition, for example, in the above-mentioned embodiment, the determination unit 403 of the prediction device 40 compares the predicted value or evaluation value E with a threshold value for each of the predicted concentration, pH value, and odor level of the cutting fluid after machining Before machining, it is determined as the period of maintenance of cutting fluid or replacement of cutting fluid, but it is not limited to this.

[0139] For example, when the number of workpieces to be processed included in the processing conditions is multiple (for example, 10), the determining unit 403 can adjust the number of workpieces to be processed so that the concentration, pH, and pH of the cutting fluid after processing can be adjusted. The predicted value of the odor level maintains an appropriate value, or the evaluation value E does not exceed the threshold Th.

[0140] More specifically, the determination unit 403 processes a plurality of workpieces under the subsequent pr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a machine learning device, a prediction device, and a controller. The state of a cutting fluid after machining is predicted. The machine learning device includes: an input dataacquisition unit that acquires input data including arbitrary machining conditions for an arbitrary work in machining by an arbitrary machine tool and state information indicating a state of a cuttingfluid before machining is performed under the machining conditions; a label acquisition unit that acquires label data indicating state information of the cutting fluid after the machining is performed under the machining conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit to generate a learned model.

Description

Technical field [0001] The present invention relates to a machine learning device, a prediction device, and a control device. Background technique [0002] In a machine tool that uses a tool to process a workpiece, cutting fluid is discharged from a cutting fluid discharge port to perform processing. In the cutting of workpieces, the role of cutting fluid is particularly important. The cutting fluid has the following function: by being discharged from the cutting fluid outlet, it not only cools the tool or workpiece, lubricates during machining, but also washes away the chips generated during machining. [0003] The cutting fluid is supplied from the container to the machine tool, is discharged toward the workpiece or its periphery, and then returned to the container and supplied to the machine tool again. Therefore, filters and the like are used in order to remove cutting chips and the like contained in the cutting fluid. However, filters and the like cannot completely remove c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/408
CPCG05B19/408G06N3/088G05B23/024G05B19/406G05B2219/49215G05B2219/49049G05B2219/33321B23Q11/10G06N5/046G06N20/00
Inventor 尾关真一
Owner FANUC LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap