METHODS AND SYSTEMS FOR DATA COLLECTION, LEARNING, AND STREAMING OF MACHINE SIGNALS FOR ANALYTICS AND MAINTENANCE USING THE INDUSTRIAL INTERNET OF THINGS

Abstract

A system for identifying a state of a target of an industrial environment that generally includes a first handheld device including one or more sensors configured to record a first type of state-related measurement; a second handheld device including one or more sensors configured to record a second type of state-related measurement; and a server that receives the first type of state-related measurement from the first handheld device and the second type of state-related measurement from the second handheld device. The server includes intelligent systems configured to: process the first type of state-related measurement and the second type of state-related measurement against pre-recorded data stored within a knowledge base to identify the state of the target; and update the pre-recorded data according to at least one of the first type of state-related measurement or the second type of state-related measurement.

Claims

1. A system for identifying a state of a target of an industrial environment, the system comprising: a first handheld device including one or more sensors configured to record a first type of state-related measurement; a second handheld device including one or more sensors configured to record a second type of state-related measurement; and a server that receives the first type of state-related measurement from the first handheld device and the second type of state-related measurement from the second handheld device, the server including intelligent systems configured to: process the first type of state-related measurement and the second type of state-related measurement against pre-recorded data stored within a knowledge base to identify the state of the target; and update the pre-recorded data according to at least one of the first type of state-related measurement or the second type of state-related measurement.

2. The system of claim 1, wherein the first type of state-related measurement is based on a vibration measured with respect to the target and the second type of state-related measurement is based on a temperature measured with respect to the target.

3. The system of claim 1, wherein the first type of state-related measurement is based on a vibration measured with respect to the target and the second type of state-related measurement is based on an electrical output measured with respect to the target.

4. The system of claim 1, wherein the first type of state-related measurement is based on a vibration measured with respect to the target and the second type of state-related measurement is based on a magnetic output measured with respect to the target.

5. The system of claim 1, wherein the first type of state-related measurement is based on a vibration measured with respect to the target and the second type of state-related measurement is based on a sound output measured with respect to the target.

6. The system of claim 1, wherein the first type of state-related measurement is based on a temperature measured with respect to the target and the second type of state-related measurement is based on an electrical output measured with respect to the target.

7. The system of claim 1, wherein the first type of state-related measurement is based on a temperature measured with respect to the target and the second type of state-related measurement is based on a magnetic output measured with respect to the target.

8. The system of claim 1, wherein the first type of state-related measurement is based on a temperature measured with respect to the target and the second type of state-related measurement is based on a sound output measured with respect to the target.

9. The system of claim 1, wherein the first type of state-related measurement is based on an electrical output measured with respect to the target and the second type of state-related measurement is based on a magnetic output measured with respect to the target.

10. The system of claim 1, wherein the first type of state-related measurement is based on an electrical output measured with respect to the target and the second type of state-related measurement is based on a sound output measured with respect to the target.

11. The system of claim 1, wherein the first type of state-related measurement is based on a magnetic output measured with respect to the target and the second type of state-related measurement is based on a sound output measured with respect to the target.

12. The system of claim 1, wherein the intelligent systems are configured to: identify a maintenance action associated with the state of the target.

13. The system of claim 1, wherein the one or more sensors of the first handheld device include an image sensor, wherein the recording of the first type of the state-related measurement using the image sensor is controlled by a camera vision system in communication with the first handheld device.

14. The system of claim 1, further comprising: a collective processing mind that transmits a command to at least one of the first handheld device or the second handheld device.

15. The system of claim 14, wherein the collective processing mind includes a detector for detecting a near proximity of the target with respect to the at least one of the first handheld device or the second handheld device.

16. The system of claim 14, wherein the collective processing mind uses adaptive scheduling to control a continuous monitoring of the target using the at least one of the first handheld device or the second handheld device.

17. The system of claim 1, wherein the intelligent systems are configured to: update the knowledge base responsive to an inconsistency determined between the pre-recorded data and the at least one of the first type of state-related measurement or the second type of state-related measurement.

18. The system of claim 1, wherein the knowledge base includes a training data set used to train a machine learning aspect of the intelligent systems.

19. The system of claim 1, wherein the knowledge base includes a training data set used to train a machine learning aspect of the intelligent systems.

20. The system of claim 1, wherein the knowledge base includes a training data set used to train a machine learning aspect of the intelligent systems.

21. The system of claim 1, wherein the handheld device is a mobile phone.

22. The system of claim 1, wherein the handheld device is a laptop computer.

23. The system of claim 1, wherein the handheld device is a tablet computer.

24. The system of claim 1, wherein the handheld device is a personal digital assistant.

25. The system of claim 1, wherein the handheld device is a walkie-talkie.

26. The system of claim 1, wherein the handheld device is a radio.

27. The system of claim 1, wherein the handheld device is a long-range communication device.

28. The system of claim 1, wherein the handheld device is a short-range communication device.

29. The system of claim 1, wherein the handheld device is a flashlight.