SYNTHESIS OF SIMULATION MODELS FROM SYSTEMS ENGINEERING DATA

• US 20140019112A1
• Filed: 07/02/2013
• Published: 01/16/2014
• Est. Priority Date: 07/10/2012
• Status: Abandoned Application

• Current Assignee: Siemens Product Lifecycle Management Software Incorporated (Siemens AG)
• Original Assignee: Siemens Product Lifecycle Management Software Incorporated (Siemens AG)
• Inventors: Canedo, Arquimedes Martinez, Okunev, Dmitriy
• Application Number:
  US13/933,615
• Publication Number:
  US 20140019112A1
• Time in Patent Office: Days
• US Class Current: 703/21
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

Methods for product data management and corresponding systems and computer-readable mediums. A method includes receiving systems engineering data including a plurality of components and identifying interfaces from the plurality of components. The method includes synthesizing a network between the plurality of components. The method includes creating a simulation model, based on the network, by mapping the plurality of components to a corresponding plurality of simulation components and generating a simulation and control code according to the simulation model and the simulation components.

Claims

1. A method for product data management, the method performed by a data processing system and comprising:

receiving systems engineering data including a plurality of components by the data processing system;

identifying interfaces from the plurality of components by the data processing system;

synthesizing a network between the plurality of components by the data processing system;

creating a simulation model, based on the network, by mapping the plurality of components to a corresponding plurality of simulation components by the data processing system; and

generating a simulation and control code according to the simulation model and the simulation components by the data processing system.

2. The method of claim 1, wherein the data processing system also receives objectives for synthesis of simulation code, and the control code is generated based at least in part on the objectives.

3. The method of claim 1, wherein the systems engineering data is requirements, functional, logical, and physical (RFLP) models, each including a plurality of components.

4. The method of claim 1, wherein the data processing system also identifies and applies modularity from a model architecture, and the simulation is generated at least in part based on the modularity.

5. The method of claim 1, wherein the network is synthesized based according to the identified interfaces, an identified modularity, or a synthesized mathematical model.

6. The method of claim 1, wherein the systems engineering data includes mechatronic models.

7. The method of claim 1, wherein the data processing system also synthesizes a mathematical model from the systems engineering data.

8. A data processing system comprising:

a processor; and

an accessible memory, the data processing system particularly configured to

receive systems engineering data including a plurality of components;

identify interfaces from the plurality of components;

synthesize a network between the plurality of components;

create a simulation model, based on the network, by mapping the plurality of components to a corresponding plurality of simulation components; and

generate a simulation and control code according to the simulation model and the simulation components.

9. The data processing system of claim 8, wherein the data processing system also receives objectives for synthesis of simulation code, and the control code is generated based at least in part on the objectives.

10. The data processing system of claim 8, wherein the systems engineering data is requirements, functional, logical, and physical (RFLP) models, each including a plurality of components.

11. The data processing system of claim 8, wherein the data processing system also identifies and applies modularity from a model architecture, and the simulation is generated at least in part based on the modularity.

12. The data processing system of claim 8, wherein the network is synthesized based according to the identified interfaces, an identified modularity, or a synthesized mathematical model.

13. The data processing system of claim 8, wherein the systems engineering data includes mechatronic models.

14. The data processing system of claim 8, wherein the data processing system also synthesizes a mathematical model from the systems engineering data.

15. A non-transitory computer-readable medium encoded with executable instructions that, when executed, cause one or more data processing systems to:

receive systems engineering data including a plurality of components;

identify interfaces from the plurality of components;

synthesize a network between the plurality of components;

create a simulation model, based on the network, by mapping the plurality of components to a corresponding plurality of simulation components; and

generate a simulation and control code according to the simulation model and the simulation components.

16. The computer-readable medium of claim 15, wherein the data processing system also receives objectives for synthesis of simulation code, and the control code is generated based at least in part on the objectives.

17. The computer-readable medium of claim 15, wherein the systems engineering data is requirements, functional, logical, and physical (RFLP) models, each including a plurality of components.

18. The computer-readable medium of claim 15, wherein the data processing system also identifies and applies modularity from a model architecture, and the simulation is generated at least in part based on the modularity.

19. The computer-readable medium of claim 15, wherein the network is synthesized based according to the identified interfaces, an identified modularity, or a synthesized mathematical model.

20. The computer-readable medium of claim 15, wherein the systems engineering data includes mechatronic models, and the data processing system also synthesizes a mathematical model from the systems engineering data.