Method for setting an operating status

Patent metadata

Field	Value
Publication number	US-9323242-B2
Application number	US-201213632803-A
Country	US
Kind code	B2
Filing date	Oct 1, 2012
Priority date	Sep 29, 2011
Publication date	Apr 26, 2016
Grant date	Apr 26, 2016

Abstract

Operating status transitions of production plants according to the PROFIEnergy standard are increasingly provided for the energy management of an individual component within a plant. The definition of an operating status change for an individual component leaves unsolved the problem as to how an operating status change of a plant having multiple components is to be effected. Thus, methods and systems that support an automatic operating status change of a plant consisting of a multiplicity of components are provided herein.

First claim

What is claimed is:

1. A method for determining an optimal operating status of a plant comprised of multiple components, comprising:
determining a set of structural dependencies between a set of components of the plant through the analysis of a structural model;
determining a set of status transitions for the set of components of the plant through the analysis of an operating status model;
determining a set of process dependencies for the set of components of the plant through the analysis of a process model; and
determining an overall status model of the plant based on the structural dependencies, the process dependencies and the status transitions of the set of components, wherein the overall status model includes a set of status transition dependencies for the set of components; and
using the set of status transition dependencies to determine a status setting for each component in the set of components in response to a status change of the plant.

2. The method of claim 1 , wherein the operating status model specifies at least one status for each component in the set of components.

3. The method of claim 1 , wherein the operating status model contains details of the energy consumption associated with a status of at least one component in the set of components and wherein the set of status transition dependencies are used to determine a status setting that optimizes energy consumption of the plant.

4. The method of claim 1 , wherein the operating status model specifies a temporal duration for at least one status transition for at least one component in the set of components.

5. The method of claim 1 , wherein the structural model specifies a structural dependency of a component with at least one other component in the set of components.

6. The method of claim 1 , wherein the process model maps a process dependency out of the set of process dependencies for the set of components.

7. The method of claim 1 , wherein a modified overall status model is determined from the overall status model wherein the modified overall status model specifies optimal status transitions of the set of components.

8. The method of claim 1 , wherein the status transition dependencies are used to determine an optimal set of component status transitions in response to a status change of the plant.

9. Non-transitory computer-readable media storing a set of computer executable instructions, which when executed by a processor of a process planning system:
determine a set of structural dependencies between a set of components of a plant through the analysis of a structural model;
determine a set of status transitions for the set of components of the plant through the analysis of an operating status model;
determine a set of process-related dependencies for the set of components of the plant through the analysis of a process model;
determine an overall status model of the plant based on the structural dependencies, process dependencies and the status transitions of the set of components, wherein the overall status model includes a set of status transition dependencies for the set of components; and
use the set of status transition dependencies to determine a status setting for each component in the set of components in response to a status change of the plant.

10. The non-transitory media of claim 9 , wherein the operating status model specifies at least one status for each component in the set of components.

11. The non-transitory media of claim 9 , wherein the operating status model contains details of the energy consumption associated with a status of at least one component of the set of components and wherein the status transition dependencies are used to determine a status setting that optimizes energy consumption of the plant.

12. The non-transitory media of claim 9 , wherein the operating status model specifies a temporal duration for at least one status transition of at least one component in the set of components.

13. The non-transitory media of claim 9 , wherein the structural model specifies a structural dependency of a component with at least one other component in the set of components.

14. The non-transitory media of claim 9 , wherein the process model maps a process dependency out of the set of process dependencies for the set of components.

15. The non-transitory media of claim 9 , wherein a modified overall status model is determined from the overall status model wherein the modified overall status model specifies optimal status transitions of the set of components.

16. The non-transitory media of claim 9 , wherein the status transition dependencies are used to determine an optimal set of component status transitions in response to a status change of the plant.

Assignees

• Siemens Ag

Inventors

• Neidig Jorg
• Opgenoorth Bernd
• Pirker Michael
• Seitz Christian

Classifications

• Y02P90/083

  Cross-Sectional Technologies · mapped topic

• G05B2219/23289

  State logic control, finite state, tasks, machine, fsm · CPC title

• G05B2219/25289

  Energy saving, brown out, standby, sleep, powerdown modus for microcomputer · CPC title

• G05B19/045 Primary

  using logic state machines, consisting only of a memory or a programmable logic device containing the logic for the controlled machine and in which the state of its outputs is dependent on the state of its inputs or part of its own output states, e.g. binary decision controllers, finite state controllers · CPC title

• Y02P90/02

  Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] · CPC title