Intelligent vibration digital twin system and method for industrial environment

Abstract

To provide an intelligent vibration digital twin system for an industrial environment.SOLUTION: An intelligent vibration digital twin system for an industrial environment receives a request for one or more digital twins, acquires the one or more digital twins necessary for satisfying the request from a digital twin data store, acquires one or more dynamic models corresponding to one or more properties drawn in the one or more digital twins indicated by the request, selects a data source from a set of usable data sources on the basis of one or more inputs of one or more dynamic models, acquires data from the selected data source, uses the acquired data as the one or more inputs to the one or more dynamic models to determine one or more outputs, and updates the one or more properties of the one or more digital twins on the basis of the one or more outputs of the one or more dynamic models.SELECTED DRAWING: Figure 217

Claims

1. 1. A system for monitoring interactions in an industrial environment, comprising: a digital twin data store containing data collected by a set of proximity sensors located within an industrial environment, the data including position data indicating the position of each of a plurality of elements within the industrial environment; one or more processors; the one or more processors maintaining an industrial environment digital twin for the industrial environment via the digital twin data store; receiving a signal from the plurality of elements indicative of activation of at least one proximity sensor in the set of proximity sensors by a real-world element; collecting updated location data for the real-world element using the at least one proximity sensor in response to activation of the at least one proximity sensor; and updating the industrial environment digital twin in the digital twin data store to include the updated location data.

2. The system of claim 1 , wherein each of the set of proximity sensors is configured to detect a device associated with a user.

3. The system of claim 2 , wherein the devices are wearable devices and RFID devices.

4. 10. The system of claim 1, wherein each element of the plurality of elements is a mobile element.

5. 2. The system of claim 1, wherein each of said plurality of elements is a respective worker.

6. 2. The system of claim 1, wherein the plurality of elements includes mobile device elements and workers, and wherein data transmitted by each of the mobile device elements is used to determine mobile device location data, and data acquired by the system is used to determine worker location data.

7. The system of claim 6 , wherein the worker location data is determined using information transmitted from a device associated with each worker.

8. 10. The system of claim 1, wherein the activation of the at least one proximity sensor occurs in response to an interaction between a respective worker and the proximity sensor.

9. 10. The system of claim 1, wherein activation of the at least one proximity sensor occurs in response to an interaction between a worker and each of at least one proximity sensor digital twin corresponding to the at least one proximity sensor.

10. 2. The system of claim 1, wherein the one or more processors collect updated position data for the plurality of elements using the set of proximity sensors in response to activation of the at least one proximity sensor.

11. 1. A method for updating, by a computer, one or more vibration fault level states of one or more digital twins, comprising: receiving a request from a client application to update one or more vibration fault level states of one or more digital twins; Obtaining one or more digital twins necessary to satisfy said request; obtaining one or more dynamic models necessary to satisfy the requirements, the one or more dynamic models including a dynamic model that predicts when a vibration fault level will occur based on an input data set; selecting a data source from a set of available data sources based on one or more inputs of the one or more dynamic models; retrieving data from selected data sources; using the acquired data as one or more inputs to the one or more dynamic models to determine one or more outputs; and updating one or more vibration fault level states of the one or more digital twins based on the outputs of the one or more dynamic models.

12. 12. The method of claim 11, wherein the request is received from a client application corresponding to an industrial environment and / or one or more industrial entities within the industrial environment.

13. 12. The method of claim 11, wherein the request is received from a client application supporting an industrial internet of things sensor system.

14. 12. The method of claim 11, wherein the digital twin is a digital twin of at least one of an industrial entity and an industrial environment.

15. 12. The method of claim 11, wherein the dynamic model takes data selected from the set consisting of vibration, temperature, pressure, humidity, wind, rainfall, tide, storm surge, cloud cover, snowfall, visibility, radiation, audio, video, imagery, water level, quantum, flow rate, signal power, signal frequency, motion, displacement, velocity, acceleration, light level, finance, cost, stock market, news, social media, revenue, workers, maintenance, productivity, asset performance, worker performance, worker response time, analyte concentration, biological compound concentration, metal concentration, and organic compound concentration data.

16. 12. The method of claim 11, wherein the data source is selected from the set consisting of an Internet of Things connected device, a machine vision system, an analog vibration sensor, a digital vibration sensor, a fixed digital vibration sensor, a three-axis vibration sensor, a single-axis vibration sensor, an optical vibration sensor, and a crosspoint switch.

17. 12. The method of claim 11, wherein obtaining the one or more dynamic models comprises identifying the one or more dynamic models based on one or more properties indicated in the request and a respective type of the one or more digital twins.

18. The method of claim 11 , wherein the one or more dynamic models are identified using a look-up table.

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