The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 08, 2022

Filed:

May. 29, 2020
Applicant:

Netzsch Process Intelligence Gmbh, Selb, DE;

Inventors:

Alexander Chaloupka, Ingenried, DE;

Marco Zier, Fichtelberg, DE;

Bernd Bohanka, Helmbrechts, DE;

Elena Moukhina, Selb, DE;

Thilo Hilpert, Selb, DE;

Simon Popp, Streitau, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/418 (2006.01); G01N 27/22 (2006.01);
U.S. Cl.
CPC ...
G05B 19/4188 (2013.01); G01N 27/221 (2013.01); G05B 2219/31001 (2013.01);
Abstract

A data acquisition system for dielectric analysis measurements, including a sensor interface configured to connect to one or more sensors located within an active machining zone of an industrial manufacturing machine, a module processor coupled to the sensor interface and configured to receive measurement values from one or more sensors connected to the sensor interface, a cloud interface coupled to the module processor, and a machine interface coupled to the module processor. The measurement values indicate physical properties of workpieces processed in the active machining zone of an industrial manufacturing machine. The cloud interface is configured to connect to cloud-based resources, and the machine interface is configured to connect to a controller of the industrial manufacturing machine. The module processor is configured to transmit the received measurement values from the one or more dielectric sensors to cloud-based resources via the cloud interface and to transmit manufacturing control signals to the controller of the industrial manufacturing machine via the machine interface, the manufacturing control signals being based on parameters received from cloud-based resources via the cloud interface.


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