IP Library Granted Patent US 12,347,296
Granted Patent B2
US 12,347,296 · App. 18/077,828 · Granted Jul 1, 2025

Emulated facility safety with correlated sound frequency modeling

Inventors: Fouad Alkhabbaz (Qatif, SA); Soloman M. Almadi (Dhahran, SA); Bander R. Al-Yousef (Al Mubarraz, SA); Abdullah Fayez Al-Halafi (Dammam, SA); Yousif Alghamdi (Dhahran, SA)
Assignee: Saudi Arabian Oil Company
G08B21/02
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Quick Facts
Patent No.
US 12,347,296
App. No.
18/077,828
Granted
Jul 1, 2025
Kind
B2
Abstract

A computer-implemented method to manage an industrial plant facility, the method including: monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors include a plurality of microsound collectors positioned in an area of the industrial plant facility; analyzing, by a server computer, the input data, wherein the input data comprise sound signatures captured by the plurality of microsound collectors; and determining, from the sound signatures, an operation status in the area of the industrial plant facility, wherein the sound signatures originate from the microsound collectors positioned in the area.

Claims (43)

1. A computer-implemented method to manage an industrial plant facility, the method comprising:

monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors includes a plurality of microsound collectors positioned in an area of the industrial plant facility;

analyzing, by a server computer, the input data, wherein the input data comprise sound signatures captured by the plurality of microsound collectors, comprising:

training a model configured to predict an operation status in the area of the industrial plant facility based on the sound signatures from the plurality of microsound collectors; and

determining, from the sound signatures, the operation status in the area of the industrial plant facility, wherein the sound signatures originate from the plurality of microsound collectors positioned in the area, comprising:

applying the model to sound signatures received from microsound collectors different from the plurality of microsound collector involved in training the model.

2. The computer-implemented method of claim 1 , further comprising: transmitting recordings obtained by the plurality of microsound collectors to the server computer.

3. The computer-implemented method of claim 2 , wherein said analyzing comprises: analyzing respective spectra of the recordings from the plurality of microsound collectors.

4. The computer-implemented method of claim 3 , wherein said analyzing further comprises:

comparing the respective spectra from microsound collectors positioned at distinct locations at the industrial plant facility.

5. The computer-implemented method of claim 3 , wherein said analyzing further comprises: analyzing at least one harmonic component in each of the respective spectra.

6. The computer-implemented method of claim 1 , wherein

the model accounts for at least one harmonic component in the sound signatures.

7. A computer system comprising:

a network of sensors comprising a plurality of microsound collectors located at an industrial plant facility;

a processor; and

at least one memory,

wherein at least one memory comprises software instructions that, when executed by the processor, cause the processor to perform operations to manage an industrial plant facility, the operations comprising:

monitoring multiple streams of input data from the network of sensors at the industrial plant facility, wherein the network of sensors includes a plurality of microsound collectors positioned in an area of the industrial plant facility;

analyzing, by a server computer, the input data, wherein the input data comprise sound signatures captured by the plurality of microsound collectors, comprising:

training a model configured to predict an operation status based on the sound signatures from the plurality of microsound collectors, wherein the model accounts for at least one harmonic component in the sound signatures; and

determining, from the sound signatures, the operation status in the area of the industrial plant facility, wherein the sound signatures originate from the microsound collectors positioned in the area, comprising:

applying the model to sound signatures received from microsound collectors different from the plurality of microsound collector involved in training the model.

8. The computer system of claim 7 , the operations further comprising: transmitting recordings obtained by the plurality of microsound collectors to the server computer.

9. The computer system of claim 8 , wherein said analyzing comprises: analyzing respective spectra of the recordings from the plurality of microsound collectors.

10. The computer system of claim 9 , wherein said analyzing further comprises: comparing the respective spectra from microsound collectors positioned at distinct locations at the industrial plant facility.

11. The computer system of claim 9 , wherein said analyzing further comprises: analyzing at least one harmonic component in each of the respective spectra.

12. The computer system of claim 7 , wherein

the model accounts for at least one harmonic component in the sound signatures.

13. A non-volatile computer readable medium comprising software instructions, which, when executed by a computer processor, cause the computer processor to perform operations to manage an industrial plant facility, the operations comprising:

monitoring multiple streams of input data from a network of sensors at the industrial plant facility, wherein the network of sensors includes a plurality of microsound collectors positioned in an area of the industrial plant facility;

analyzing, by a server computer, the input data, wherein the input data comprise sound signatures captured by the plurality of microsound collectors, comprising:

training a model configured to predict an operation status in the area of the industrial plant facility based on the sound signatures from the plurality of microsound collectors; and

determining, from the sound signatures, the operation status in the area of the industrial plant facility, wherein the sound signatures originate from the microsound collectors positioned in the area, comprising:

applying the model to sound signatures received from microsound collectors different from the plurality of microsound collector involved in training the model.

14. The non-volatile computer readable medium of claim 13 , the operations further comprising: transmitting recordings obtained by the plurality of microsound collectors to the server computer.

15. The non-volatile computer readable medium of claim 14 , wherein said analyzing comprises: analyzing respective spectra of the recordings from the plurality of microsound collectors.

16. The non-volatile computer readable medium of claim 15 , wherein said analyzing further comprises:

comparing the respective spectra from microsound collectors positioned at distinct locations at the industrial plant facility.

17. The non-volatile computer readable medium of claim 15 , wherein said analyzing further comprises:

analyzing at least one harmonic component in each of the respective spectra.

18. The non-volatile computer readable medium of claim 13 , wherein

the model accounts for at least one harmonic component of the sound signatures.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 8, 2023
From: ALKHABBAZ, FOUAD; ALMADI, SOLOMAN M.; AL-YOUSEF, BANDER R.; AL-HALAFI, ABDULLAH FAYEZ; ALGHAMDI, YOUSIF
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 064519/0593 →
Continuity (3)
Continuation In Part 17728184 · Apr 25, 2022
Continuation 16987076 · Aug 6, 2020
Related Publication 20230100635A1 · Mar 30, 2023
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