IP Library Granted Patent US 11,775,707
Granted Patent B1
US 11,775,707 · App. 17/973,142 · Granted Oct 3, 2023

Interconnected digital engineering and certification ecosystem

Inventors: William Roper, Jr. (Charleston, SC); Christopher Benson (Charleston, SC); Long N. Phan (Charleston, SC); Alethea Duhon (Orlando, FL); Baha Abu Nojaim (Roslindale, MA); Sriram Krishnan (Cambridge, MA)
Assignee: Istari, Inc.
G06F30/20G06F2221/2141
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Quick Facts
Patent No.
US 11,775,707
App. No.
17/973,142
Granted
Oct 3, 2023
Kind
B1
Abstract

A computer-implemented method includes receiving design and/or engineering data (D/E data) corresponding to a prototype representation of a product and transmitting one or more inputs derived from the D/E data to one or more digital engineering tools for processing. The method also includes receiving engineering-related data outputs from the one or more digital engineering tools and receiving data corresponding to one or more common validation and verification (V&V products). The method further includes identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products; determining whether or not the one or more requirements have been satisfied; and presenting information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products. The method also includes receiving instructions from the user device, and performing one or more manipulations of the D/E data.

Claims (78)

1. A computer-implemented method comprising:

receiving, from a user device, design and/or engineering data (D/E data) corresponding to a prototype representation of a product;

transmitting, via an application programming interface (API) or software development kit (SDK), one or more inputs derived from the D/E data to two or more digital engineering tools for processing,

wherein the two or more digital engineering tools are provided by at least two distinct digital engineering tool providers,

wherein a first portion of the two or more digital engineering tools provided by a first provider of the at least two distinct digital engineering tool providers is not directly interoperable with a second portion of the two or more digital engineering tools provided by a second provider of the at least two distinct digital engineering tool providers, and

wherein the API or SDK is configured to interface with each of the two or more digital engineering tools to automatically enable interoperable use of multiple digital engineering tools in parallel;

receiving engineering-related data outputs from the two or more digital engineering tools;

receiving data corresponding to one or more common validation and verification (V&V) products associated with the product, wherein the one or more common V&V products are stored in a data resource that is external to a computing system that performs the computer-implemented method;

identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products;

determining, based on the engineering-related data outputs and the data corresponding to the one or more common V&V products, whether or not the one or more requirements have been satisfied;

presenting, at the user device, information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products, wherein the presented information comprises an indication of whether or not the one or more requirements have been satisfied, or an indication of a probability of whether or not the one or more requirements would be satisfied by the prototype representation of the product;

subsequent to presenting the information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products at the user device, receiving instructions from the user device, wherein the instructions correspond to one or more interactions of a user with the user device; and

responsive to receiving the instructions from the user device, performing one or more manipulations of the D/E data.

2. The computer-implemented method of claim 1 , wherein the product is an aircraft.

3. The computer-implemented method of claim 1 , wherein at least a subset of the two or more digital engineering tools comprises model-based systems engineering (MBSE) tools, augmented reality (AR) tools, computer aided design (CAD) tools, data analytics tools, modeling and simulation (M&S) tools, product lifecycle management (PLM) tools, simulation engines, requirements models, electronics models, test-plan models, cost-models, schedule models, software modeling, supply-chain models, manufacturing models, cyber security models, multi-attribute trade-space tools, or mission effects models.

4. The computer-implemented method of claim 1 , wherein determining whether or not the one or more requirements have been satisfied based on the engineering-related data outputs comprises determining, without any human input, whether or not the one or more requirements have been satisfied.

5. The computer-implemented method of claim 1 , wherein the presented information further comprises a recommended action that the user of the user device can take to satisfy the one or more requirements.

6. The computer-implemented method of claim 5 , wherein the recommended action comprises a suggestion to use a particular digital engineering tool of the two or more digital engineering tools, a suggestion to modify the one or more inputs transmitted to the two or more digital engineering tools, a suggestion to modify one or more components of the prototype representation of the product, and/or a suggestion to replace one or more components of the prototype representation of the product with a previously designed solution.

7. The computer-implemented method of claim 1 , wherein performing the one or more manipulations of the D/E data comprises modifying the D/E data and/or deriving modified inputs from the D/E data for transmission to the two or more digital engineering tools.

8. The computer-implemented method of claim 1 , further comprising storing, on a storage device, usage data representing the received data corresponding to the one or more common V&V products, the received D/E data, the engineering-related data outputs from the two or more digital engineering tools, the indication of whether or not the one or more requirements have been satisfied, the indication of the probability of whether or not the one or more requirements would be satisfied by the prototype representation of the product, the one or more interactions of the user with the user device, and/or the one or more manipulations of the D/E data.

9. The computer-implemented method of claim 8 , further comprising:

incorporating at least a portion of the usage data in a training dataset; and

training a machine learning model based on the training dataset.

10. The computer-implemented method of claim 9 , wherein the machine learning model is configured to:

receive, as input, information relating to another product being designed by another user, and

output a suggestion for the another user to use a particular digital engineering tool of the two or more digital engineering tools, a suggestion to modify one or more inputs transmitted to the two or more digital engineering tools by the another user, a suggestion to modify one or more components of another prototype representation associated with the another user, a suggestion to replace one or more components of the another prototype representation with a previously designed solution, and/or a suggestion of a wholly or partially new design generated using a machine learning engine.

11. The computer-implemented method of claim 8 , further comprising using the stored usage data for one or more sensitivity analyses.

12. The computer-implemented method of claim 1 , further comprising:

checking one or more credentials of the user prior to performing the one or more manipulations of the D/E data, and

determining, based on the one or more credentials, that the user is qualified to perform the one or more manipulations of the D/E data.

13. The computer-implemented method of claim 1 , wherein receiving the data corresponding to the one or more common V&V products comprises communicating with the data resource using another application programming interface (API) or software development kit (SDK).

14. The computer-implemented method of claim 1 , comprising, subsequent to identifying the one or more requirements for the product based on the data corresponding to the one or more common V&V products, recommending a use of a subset of the two or more digital engineering tools to satisfy the one or more requirements for the product.

15. The computer-implemented method of claim 1 , wherein the data resource that is external to the computing system that performs the computer-implemented method is maintained by a regulatory and/or certification authority.

16. The computer-implemented method of claim 1 , wherein at least one of the one or more common V&V products does not have force of law.

17. A system comprising:

a memory to store instructions that are executable; and

one or more processing devices coupled to the memory, the one or more processing devices configured to execute the instructions to perform operations comprising:

receiving, from a user device, design and/or engineering data (D/E data) corresponding to a prototype representation of a product;

transmitting, via an application programming interface (API) or software development kit (SDK), one or more inputs derived from the D/E data to two or more digital engineering tools for processing,

wherein the two or more digital engineering tools are provided by at least two distinct digital engineering tool providers,

wherein a first portion of the two or more digital engineering tools provided by a first provider of the at least two distinct digital engineering tool providers is not directly interoperable with a second portion of the two or more digital engineering tools provided by a second provider of the at least two distinct digital engineering tool providers, and

wherein the API or SDK is configured to interface with each of the two or more digital engineering tools to automatically enable interoperable use of multiple digital engineering tools in parallel;

receiving engineering-related data outputs from the two or more digital engineering tools;

receiving data corresponding to one or more common validation and verification (V&V) products associated with the product, wherein the one or more common V&V products are stored in a data resource that is external to the system;

identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products;

determining, based on the engineering-related data outputs and the data corresponding to the one or more common V&V products, whether or not the one or more requirements have been satisfied;

presenting, at the user device, information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products, wherein the presented information comprises an indication of whether or not the one or more requirements have been satisfied, or an indication of a probability of whether or not the one or more requirements would be satisfied by the prototype representation of the product;

subsequent to presenting the information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products at the user device, receiving instructions from the user device, wherein the instructions correspond to one or more interactions of a user with the user device; and

responsive to receiving the instructions from the user device, performing one or more manipulations of the D/E data.

18. The system of claim 17 , wherein at least a subset of the two or more digital engineering tools comprises model-based systems engineering (MBSE) tools, augmented reality (AR) tools, computer aided design (CAD) tools, data analytics tools, modeling and simulation (M&S) tools, product lifecycle management (PLM) tools, simulation engines, requirements models, electronics models, test-plan models, cost-models, schedule models, software modeling, supply-chain models, manufacturing models, cyber security models, multi-attribute trade-space tools, or mission effects models.

19. The system of claim 17 , wherein determining whether or not the one or more requirements have been satisfied based on the engineering-related data outputs comprises determining, without any human input, whether or not the one or more requirements have been satisfied.

20. The system of claim 17 , wherein the presented information further comprises a recommended action that the user of the user device can take to satisfy the one or more requirements.

21. The system of claim 20 , wherein the recommended action comprises a suggestion to use a particular digital engineering tool of the two or more digital engineering tools, a suggestion to modify the one or more inputs transmitted to the two or more digital engineering tools, a suggestion to modify one or more components of the prototype representation of the product, and/or a suggestion to replace one or more components of the prototype representation of the product with a previously designed solution.

22. The system of claim 17 , wherein performing the one or more manipulations of the D/E data comprises modifying the D/E data and/or deriving modified inputs from the D/E data for transmission to the two or more digital engineering tools.

23. The system of claim 17 , wherein the operations further comprise storing, on a storage device, usage data representing the received data corresponding to the one or more common V&V products, the received D/E data, the engineering-related data outputs from the two or more digital engineering tools, the indication of whether or not the one or more requirements have been satisfied, the indication of the probability of whether or not the one or more requirements would be satisfied by the prototype representation of the product, the one or more interactions of the user with the user device, and/or the one or more manipulations performed on the D/E data.

24. The system of claim 23 , wherein the operations further comprise:

incorporating at least a portion of the usage data in a training dataset; and

training a machine learning model based on the training dataset.

25. The system of claim 24 , wherein the machine learning model is configured to:

receive, as input, information relating to another product being designed by another user, and

output a suggestion for the another user to use a particular digital engineering tool of the two or more digital engineering tools, a suggestion to modify one or more inputs transmitted to the two or more digital engineering tools by the another user, a suggestion to modify one or more components of another prototype representation associated with the another user, a suggestion to replace one or more components of the another prototype representation with a previously designed solution, and/or a suggestion of a wholly or partially new design generated using a machine learning engine.

26. The system of claim 23 , further comprising using the stored usage data for one or more sensitivity analyses.

27. The system of claim 17 , wherein the operations further comprise:

checking one or more credentials of the user prior to performing the one or more manipulations of the D/E data, and

determining, based on the one or more credentials, that the user is qualified to perform the one or more manipulations the D/E data.

28. One or more non-transitory machine-readable storage media storing instructions that are executed to perform operations comprising:

receiving, from a user device, design and/or engineering data (D/E) corresponding to a prototype representation of a product;

transmitting, via an application programming interface (API) or software development kit (SDK), one or more inputs derived from the D/E data to two or more digital engineering tools for processing,

wherein the two or more digital engineering tools are provided by at least two distinct digital engineering tool providers,

wherein a first portion of the two or more digital engineering tools provided by a first provider of the at least two distinct digital engineering tool providers is not directly interoperable with a second portion of the two or more digital engineering tools provided by a second provider of the at least two distinct digital engineering tool providers, and

wherein the API or SDK is configured to interface with each of the two or more digital engineering tools to automatically enable interoperable use of multiple digital engineering tools in parallel;

receiving engineering-related data outputs from the two or more digital engineering tools;

receiving data corresponding to one or more common validation and verification (V&V) products associated with the product, wherein the one or more common V&V products are stored in a data resource that is external to a computing system that performs the operations;

identifying one or more requirements for the product based on the data corresponding to the one or more common V&V products;

determining, based on the engineering-related data outputs and the data corresponding to the one or more common V&V products, whether or not the one or more requirements have been satisfied;

presenting, at the user device, information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products, wherein the presented information comprises an indication of whether or not the one or more requirements have been satisfied, or an indication of a probability of whether or not the one or more requirements would be satisfied by the prototype representation of the product;

subsequent to presenting the information corresponding to the engineering-related data outputs and/or the data corresponding to the one or more common V&V products at the user device, receiving instructions from the user device, wherein the instructions correspond to one or more interactions of a user with the user device; and

responsive to receiving the instructions from the user device, performing one or more manipulations of the D/E data.

Assignments (3)
CHANGE OF NAME Recorded Mar 25, 2024
From: ISTARI, INC.
To: ISTARI DIGITAL, INC.
Reel/Frame 067055/0822 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 22, 2023
From: KRISHNAN, SRIRAM
To: ISTARI, INC.
Reel/Frame 064660/0875 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 6, 2022
From: ROPER, WILLIAM, JR.; BENSON, CHRISTOPHER; PHAN, LONG N.; DUHON, ALETHEA; NOJAIM, BAHA ABU
To: ISTARI, INC.
Reel/Frame 061993/0221 →
Continuity (1)
Provisional Application 63419051 · Oct 25, 2022
Cited By (6)
US 12,248,740 US 12,259,995 US 12,314,687 US 12,358,642 US 12,373,851 US 12,632,583