Adjustment of industrial installation

• US 10,243,372 B2
• Filed: 08/02/2012
• Issued: 03/26/2019
• Est. Priority Date: 08/25/2011
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Jordan, Lars, Lamparter, Steffen
• Primary Examiner(s): Dunn, Darrin D
• Application Number:
  US14/126,920
• Publication Number:
  US 20140188297A1
• Time in Patent Office: 2,427 Days
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: H02J 4/00 Circuit arrangements for mains or distribution networks not specified as ac or dc
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

It is proposed that an industrial installation, be operated with the power consumption being optimized for a target function. The target function may also factor in further parameters, with the result that multitarget optimization, for example, can be performed and the installation can be adapted in respect of the power consumption or the power consumption can be adapted in respect of the installation. Both the industrial installation and an energy supplier or network operator provide information which can be factored in as appropriate for the purpose of optimization or as part of the target function. It is advantageous that overload situations are avoided and a large number of regenerative energy sources can be used as energy suppliers, because adaptation is effected in line with the amount of energy actually provided. Hence the power supply system can be operated and loaded as appropriate.

Claims

1. A method for adjusting an industrial installation, the method comprising:

analyzing a production plan for the industrial installation, the production plan specifying quantities of resources required by the industrial installation to be available at particular machines or locations at particular dates or times for consumption during production according to a current production sequence schedule;

analyzing incoming events, including one or more production-logistics related events and one or more energy related events, to identify a present critical situation or predict a future critical situation based on an extended event ontology describing critical situations associated with unexpected deviations from the analyzed production plan according to defined temporal dependency relationships between events using rule-based event patterns matching specific combinations of events;

optimizing at least one of power consumption or costs of the power consumption of the industrial installation by initiating, in response to the identified present critical situation or the predicted future critical situation, compensation measures for the industrial installation, the compensation measures being based on compensation rules, which are determined based on sets of compensation strategies for the industrial installation; and

dynamically controlling machinery at the industrial installation by applying the compensation measures such that a delay-minimizing and energy-optimal production sequence schedule is maintained while limiting a number of changes to the current production sequence schedule according to a rescheduling algorithm comprising an edit distance function and a rescheduling threshold value.

2. The method of claim 1, wherein the optimizing takes into account one or more energy related events relating to past power consumption.

3. The method of claim 1, wherein the optimizing takes into account one or more energy related events received from an energy supplier.

4. The method of claim 3, wherein the one or more energy related events received from the energy supplier comprises at least one of:

a signal relating to at least one of minimum and maximum power consumption to be set;

price information;

other tariff information;

or

utilization information.

5. The method of claim 1, wherein the optimizing takes into account one or more energy related events relating to a power network.

6. The method of claim 1, wherein the optimizing takes into account one or more energy related events relating to at least one of a present, a past or a planned power consumption of the industrial installation.

7. The method of claim 1, further comprising:

optimizing at least one further parameter of the industrial installation.

8. The method of claim 7, wherein the at least one further parameter comprises at least one of:

a parameter of the industrial installation;

a processing time;

costs for the industrial installation;

costs for the power consumption;

a logistics plan;

or

a production plan.

9. The method of claim 1, wherein the incoming events include situations, which further include a present or future situation of the industrial installation.

10. The method of claim 9, wherein the present or future situation of the industrial installation takes into account at least one of:

a delivery status of delivered or provided goods;

a configuration status of the industrial installation;

or

an operating mode of the industrial installation.

11. The method of claim 1, wherein the incoming events include at least one of:

fulfillment of a delivery commitment;

fulfillment of a threshold machine utilization;

fulfillment of a threshold energy consumption;

or

fulfillment of a throughput.

12. The method of claim 1, wherein the industrial installation comprises at least one of:

a production or manufacture;

a logistics unit;

a service provision unit;

a data center;

an energy supplier;

or

a transmission network operator.

13. The method of claim 3, wherein the optimizing takes into account one or more energy related events relating to the power consumption.

14. The method of claim 5, wherein the optimizing takes into account one or more energy related events relating to a status of the power network.

15. The method of claim 1, wherein

the one or more production-logistics related events include faults;

the identifying identifies the faults taking into account the analyzed production plan; and

the optimizing optimizes the power consumption of the industrial installation by initiating the compensation measures in response to the identified faults for the industrial installation.

16. The method of claim 1, wherein the incoming events include at least one of faults, situations, or an event occurrence.

17. A device for adjusting an industrial installation, the device comprising:

at least one memory that stores computer-readable instructions; and

at least one processor that executes the computer-readable instructions to implement a registration component, a situation recognition component, a compensation handling component, and a production sequence scheduler component, wherein

the registration component analyzes a production plan for the industrial installation, the production plan specifying quantities of resources required by the industrial installation to be available at particular machines or locations at particular dates or times for consumption during production according to a current production sequence schedule,

the situation recognition component analyzes incoming events, including one or more production-logistics related events and one or more energy related events, to identify a present critical situation or predict a future critical situation based on an extended event ontology describing critical situations associated with unexpected deviations from the analyzed production plan according to defined temporal dependency relationships between events using rule-based event patterns matching specific combinations of events,

the compensation handling component optimizes at least one of power consumption or costs of the power consumption of the industrial installation by initiating, in response to the identified present critical situation or the predicted future critical situation, compensation measures for the industrial installation, the compensation measures being based on compensation rules, which are determined based on sets of compensation strategies for the industrial installation, and

the production sequence scheduler component dynamically controls machinery at the industrial installation by applying the compensation measures such that a delay-minimizing and energy-optimal production sequence schedule is maintained while limiting a number of changes to the current production sequence schedule according to a rescheduling algorithm comprising an edit distance function and a rescheduling threshold value.

18. A production management system comprising the device of claim 17.

19. A system comprising the device of claim 17.

20. A system comprising the production management system of claim 18.

21. The device of claim 17, wherein

the one or more production-logistics related events include faults;

and

the at least one processor further executes the computer-readable instructions to

identify the faults taking into account the analyzed production plan; and

optimize the power consumption of the industrial installation by initiating the compensation measures in response to the identified faults for the industrial installation.

22. The device of claim 17, wherein the incoming events include at least one of faults, situations, or an event occurrence.