Method and system of a noise pattern data marketplace in an industrial environment

Patent metadata

Field	Value
Publication number	US-2019155263-A1
Application number	US-201816235966-A
Country	US
Kind code	A1
Filing date	Dec 28, 2018
Priority date	May 9, 2016
Publication date	May 23, 2019
Grant date	—

Abstract

Systems and methods for data collection and detection of noise patterns. A system may include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the plurality of input channels is operatively coupled to a vibration detection facility structured to detect a noise pattern of an industrial machine, a library to store the detected noise pattern, an interface circuit structured to make the noise pattern available to a noise pattern marketplace, the noise pattern marketplace including a plurality of noise patterns from a plurality of industrial machines, and a user interface for accessing the plurality of noise patterns of the noise pattern marketplace.

First claim

What is claimed is:

1 . A system comprising:
a data collector communicatively coupled to a plurality of input channels, wherein at least one of the plurality of input channels is operatively coupled to a vibration detection facility structured to detect a noise pattern of an industrial machine; a library to store the detected noise pattern; an interface circuit structured to make the noise pattern available to a noise pattern marketplace, the noise pattern marketplace comprising a plurality of noise patterns from a plurality of industrial machines; and a user interface for accessing the plurality of noise patterns of the noise pattern marketplace.

2 . The system of claim 1 , wherein the noise pattern marketplace comprises at least one of a data pool and a data stream to provide a plurality of noise patterns to the noise pattern marketplace.

3 . The system of claim 1 , wherein at least one of the plurality of noise patterns of the noise pattern marketplace comprises a characteristic representative of a machine performance category.

4 . The system of claim 3 , wherein the machine performance category comprises a machine start-up category, a machine shut-down category, a normal machine operation category, or an operational failure mode category.

5 . The system of claim 1 , wherein the user interface enables identification of a machine performance category based on a match between the detected noise pattern and one of the plurality of noise patterns of the noise pattern marketplace.

6 . The system of claim 1 , wherein the noise pattern marketplace is a self-organizing marketplace organized based on a machine-learning self-organizing facility that learns based on a measure of marketplace success with respect to stored collected data.

7 . The system of claim 1 , wherein the vibration detection facility is further structured to analyze frequency components to assist in detecting the noise pattern.

8 . The system of claim 1 , wherein the noise pattern marketplace receives noise patterns from a plurality of industrial data collectors.

9 . The system of claim 1 , wherein at least one parameter of the noise pattern marketplace is automatically configured by a machine learning facility based on a metric of success of the noise pattern marketplace.

10 . The system of claim 9 , wherein the metric of success comprises at least one of: a profit measure, a yield measure, a rating, or an indicator of interest.

11 . The system of claim 10 , wherein the rating comprises at least one of: a user rating, a purchaser rating, a licensee rating, or a reviewer rating.

12 . The system of claim 10 , wherein the indicator of interest comprises at least one of: a clickstream activity, a time spent on a page, a time spent reviewing elements, and a link to data elements.

13 . The system of claim 1 , further comprising a rights management engine for managing permissions to access the noise pattern in the noise pattern marketplace.

14 . The system of claim 1 , further comprising a data brokering engine configured to execute a data transaction among at least two noise pattern marketplace participants.

15 . The system of claim 1 , further comprising a pricing engine for setting a price for at least one data element within the noise pattern marketplace.

16 . A method comprising:
detecting a noise pattern of a first industrial machine; analyzing the detected noise pattern to determine a match between the detected noise pattern of the first industrial machine and a noise pattern of a second industrial machine; and if a match is determined, setting a machine performance category of the first industrial machine to a specified machine performance category of the second industrial machine, wherein the noise pattern of the second industrial machine is characteristic of the specified machine performance category.

17 . The method of claim 16 , further comprising setting an alarm based on the machine performance category of the first industrial machine.

18 . The method of claim 17 , wherein the machine performance category of the first industrial machine comprises a machine start-up category, a machine shut-down category, a normal machine operation category, or an operational failure mode category.

19 . The method of claim 16 , wherein detecting a noise pattern comprises at least one of: filtering an incoming signal, signal conditioning, spectral analysis and trend analysis.

20 . The method of claim 16 , further comprising isolating vibration noise of the first industrial machine to obtain a vibration fingerprint of the machine.

Assignees

• Strong Force Iot Portfolio 2016 Llc

Inventors

• Cella Charles Howard
• Duffy Jr Gerald William
• Mcguckin Jeffrey P
• Desai Mehul

Classifications

• H04B17/26

  using historical data, averaging values or statistics · CPC title

• H04B17/40

  of relay systems · CPC title

• H04B17/23

  Indication means, e.g. displays, alarms, audible means · CPC title

• G06N3/02

  Neural networks · CPC title

• H04L1/0009

  by adapting the channel coding (H04L1/1812 takes precedence) · CPC title