IP Library Granted Patent US 12,260,349
Granted Patent B2
US 12,260,349 · App. 16/183,129 · Granted Mar 25, 2025

Interactive guidance system for selecting thermodynamics methods in process simulations

Inventors: Prasad Narasimhan (Cypress, TX); Seiya Hirohama (Yokohama, JP); Norbert Jung (Wiesbaden, DE)
Assignee: Aveva Software, LLC
G06N5/045G06F30/20G06N5/025G06N20/00
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Quick Facts
Patent No.
US 12,260,349
App. No.
16/183,129
Granted
Mar 25, 2025
Kind
B2
Abstract

A simulation tool executing a simulation model and a generating an automated dialog associated therewith. The automated dialog comprises a bot configured for interacting with a user, wherein the dialog is displayed to the user. The bot is integrated with a set of rules that are referenced as a function of input received from the user for furthering the dialog and making a recommendation about the process simulation. In certain embodiments, the simulation tool is configured to select a thermodynamic method for use in a process simulation as a function of the set of rules and the user input.

Claims (50)

1. A process simulation tool for use in determining a thermodynamic method for a simulation of an industrial process, the tool comprising:

a processor;

a memory device coupled to the processor;

software instructions stored on the memory device, which when executed, cause the processor to:

generate an automated dialog on display of a user automated device to prompt a user for information about the industrial process in response to execution of a simulation model using the simulation tool;

receive responsive inputs from the user in response to the prompting, each of the responsive user inputs including at least a characteristic of the industrial process;

generate, in response to the responsive user inputs, further prompts to the user based on a decision tree within a set of rules stored in the memory of the simulation tool, the set of rules pertaining to the simulation model;

display decision points in the decision tree on the user device, the decision points being selectable for editing;

determine at least one thermodynamic method for the simulation model of the industrial process based on the responsive user inputs and any of the decision points in the decision tree, including any edited decision points.

2. The process simulation tool of claim 1 , further causing the processor to:

submit a representation of the responsive user inputs and the selection of the at least one thermodynamic method to a thermodynamics expert for validation.

3. The simulation tool of claim 2 , further causing the processor to:

receive, from the thermodynamics expert, an expert response comprising either a validation response validating the selection of the at least one thermodynamic method or an adjustment response adjusting the selection of the at least one thermodynamic method, the adjustment response including an expert-adjusted selection of at least one thermodynamic method for the simulation of the process and rationale data including parameters used to make the expert-adjusted selection.

4. The process simulation tool of claim 3 , further causing the processor to:

store the adjustment response on the memory device when the adjustment response is received.

5. The process simulation tool of claim 4 , further causing the processor to: aggregate the received adjustment responses on the memory device and use a machine learning system to adjust the decision tree based on the aggregated adjustment responses stored on the memory device.

6. The process simulation tool of claim 1 , further causing the processor to:

receive a responsive user input

selecting one or more components of the industrial process in response to a prompt;

query the component database storing data for available components to determine which data for the one or more selected components of the process are available; and

adjust the selection of at least one thermodynamic method based on which data for the one or more selected components of the process are available.

7. The process simulation tool of claim 1 , further causing the processor to:

conduct a process simulation in response to the received simulation request using the at least one thermodynamic method and display a result of the process simulation to the user.

8. A method of developing a process comprising using the process simulation tool of claim 7 to conduct the process simulation on the process simulator using the requested thermodynamic method and adjusting the process based on the result of the process simulation.

9. A process simulation tool for conducting a simulation of an industrial process, the tool comprising:

a processor;

a memory device coupled to the processor;

software instructions stored on the memory device, which when executed, cause the processor to:

generate an automated dialog on display of a user device to prompt a user for information about the industrial process in response to execution of a simulation model using the simulation tool;

receive responsive inputs from the user in response to the prompting, each of the responsive user inputs including at least a characteristic of the industrial process;

generate, in response to the responsive user inputs, further prompts to the user based on a decision tree within a set of rules stored in the memory of the simulation tool, the set of rules pertaining to the simulation model;

select at least one thermodynamic method for the simulation model of the industrial process based on the responsive user inputs and any of the decision points in the decision tree; and

adjust the selection of the at least one thermodynamic method based on availability of thermodynamic data for a component of the industrial process associated with the at least one selected thermodynamic method.

10. The process simulation tool of claim 9 , further causing the processor to:

submit a representation of the responsive user inputs and the selection of the at least one thermodynamic method to a thermodynamics expert for validation.

11. The simulation tool of claim 10 , further causing the processor to:

receive from the process simulation expert an expert response comprising a validation response validating the recommendation or an adjustment response comprising an adjusted recommendation,

the adjustment response includes rationale data including parameters used to make the adjusted recommendation.

12. The process simulation tool of claim 11 , further causing the processor to:

store the adjustment response on the memory device when the adjustment response is received.

13. The process simulation tool of claim 12 ,

further causing the processor to: aggregate the received adjustment responses on the memory device; and

use a machine learning system to adjust the decision tree based on the aggregated adjustment responses stored on the memory device.

14. The process simulation tool of claim 9 , further causing the processor to:

receive a responsive user input selecting at least one parameter or component of the industrial process in response to a prompt;

query the database storing data of available parameters and available components of the industrial process to determine which data for the selected one or more of at least one of parameters and components of the process are available; and

adjust the recommendation based on which data for the selected one or more of at least one of parameters and components of the process are available.

15. The process simulation tool of claim 9 , further causing the processor to:

conduct a process simulation in response to the received simulation request using the at least one thermodynamic method and display a result of the process simulation to the user.

16. A method of developing a process comprising using the process simulation tool of claim 15 to conduct the process simulation on the process simulator using the recommendation and adjusting the process based on the result of the process simulation.

Assignments (2)
CHANGE OF NAME Recorded Oct 7, 2019
From: SCHNEIDER ELECTRIC SOFTWARE, LLC
To: AVEVA SOFTWARE, LLC
Reel/Frame 050647/0283 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 10, 2019
From: NARASIMHAN, PRASAD; HIROHAMA, SEIYA; JUNG, NORBERT
To: SCHNEIDER ELECTRIC SOFTWARE, LLC
Reel/Frame 049136/0147 →