UTILITY PROVISIONING WITH IOT ANALYTICS

• US 20170090427A1
• Filed: 09/25/2015
• Published: 03/30/2017
• Est. Priority Date: 09/25/2015
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Gao, Rong, Vaughn, Robert L.
• Application Number:
  US14/866,492
• Publication Number:
  US 20170090427A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: G05B 5/01 electric

Abstract

Briefly, in accordance with one or more embodiments, an analytic system controls operation of a machine. The analytic system includes a sensor device to monitor power utilized by the machine, and to collect load data for the machine during startup. The analytic system further includes an analytic engine to determine a start time for the machine based at least in part on the load data for the machine received from the sensor device, and to communicate the determined start time to the machine. Start times for multiple machines may be selected wherein a maximum allowable current is not exceeded during the startup of the machines based at least in part on startup signatures for the machines generated from the load data.

Claims

1. An analytic system to control operation of a machine, comprising:

a sensor device to monitor power utilized by the machine, wherein the sensor device collects load data for the machine during startup; and

an analytic engine to determine a start time for the machine based at least in part on the load data for the machine received from the sensor device, and to communicate the start time to the machine.

2. The analytic system as claimed in claim 1, wherein the sensor device comprises an Internet of Things (IOT) device.

3. The analytic system as claimed in claim 1, wherein the sensor device is coupled to a power sensor coupled to a power line of the machine, and the sensor device is configured to receive load data for the machine monitored by the power sensor.

4. The analytic system as claimed in claim 1, wherein the analytic engine is configured to generate a profile for the machine based on the load data during startup, and to utilize the profile to determine the start time for the machine.

5. The analytic system as claimed in claim 1, wherein the sensor device is configured to send the load data for the machine to the analytic engine via an Internet of Things (IOT) gateway.

6. The analytic system as claimed in claim 1, wherein sensor device is configured to send a request to start the machine to the analytic engine, and to receive an acknowledgement from the analytic engine when to start the device.

7. A sensor device to control operation of a machine, comprising:

a processor and a memory coupled to the processor, wherein instructions in the memory configure the processor to;

monitor power utilized by the machine;

collect load data for the machine during startup;

sent the load data for the machine during startup to an analytic engine; and

receive an indication from the analytic engine when to start the machine.

8. The sensor device as claimed in claim 7, wherein the sensor device comprises an Internet of Things (IOT) device.

9. The sensor device as claimed in claim 7, wherein the processor is further configured to:

couple to a power sensor coupled to a power line of the machine; and

receive load data for the machine monitored by the power sensor.

10. The sensor device as claimed in claim 7, wherein the processor is further configured to send the load data for the machine to the analytic engine via an Internet of Things (IOT) gateway.

11. The sensor device as claimed in claim 7, wherein the processor is further configured to:

send a request to start the machine to the analytic engine;

receive an acknowledgement from the analytic engine when to start the device; and

start the machine at a time indicated in the acknowledgement received from the analytic engine.

12. An analytic engine to control operation of a machine, comprising:

a processor and a memory coupled to the processor, wherein instructions in the memory configure the processor to;

receive a request to start the machine;

analyze load data for the machine to determine a start time for the machine; and

send an acknowledgement indicating to start the machine at the determined start time.

13. The analytic engine as claimed in claim 12, wherein the processor is further configured to:

determine if a specification for the machine exists; and

if the specification exists, determine the start time for the machine based at least in part on the existing specification.

14. The analytic engine as claimed in claim 12, wherein the processor is further configured to:

determine if a specification for the machine exists; and

if the specification does not exist, receive load data for the machine during operation, and create a signature for the machine based at least in part on the received load data.

15. The analytic engine as claimed in claim 12, wherein the processor is further configured to:

determine if a signature for the machine is known, and if the signature for the machine is known, control startup of the machine based at least in part on the signature, and refine the signature based at least in part on load data received for the machine.

16. A method to control startup of one or more machines, comprising:

receiving a request to start the one or more machines;

analyzing startup signatures for the one or more machines;

determining a start time for the one or more machines based at least in part on the startup signatures; and

sending an acknowledgement in reply to the request indicating a start time for the one or more machines.

17. The method as claimed in claim 16, wherein said determining comprises delaying a start time of a first machine with respect to a start time of a second machine to start the first machine after a startup process of the second machine is completed.

18. The method as claimed in claim 16, further comprising receiving load data for the one or more machines, and refining the startup signatures based at least in part on the received load data.

19. The method as claimed in claim 16, wherein said determining comprises selecting start times for the one or more machines wherein a maximum allowable current is not exceeded during the startup of the one or more machines based at least in part on the startup signatures.

20. The method as claimed in claim 16, further comprising:

sending a request to a sensor device to monitor load data for the one or more machines;

receiving the load data from the sensor device; and

creating or updating the startup signatures based at least in part on the received load data.

21. An article of manufacture comprising a non-transitory medium having instructions stored thereon to control startup of one or more machines that, if executed by a processor, result in:

receiving a request to start the one or more machines;

analyzing startup signatures for the one or more machines;

determining a start time for the one or more machines based at least in part on the startup signatures; and

sending an acknowledgement in reply to the request indicating a start time for the one or more machines.

22. The article of manufacture as claimed in claim 21, wherein said determining comprises delaying a start time of a first machine with respect to a start time of a second machine to start the first machine after a startup process of the second machine is completed.

23. The article of manufacture as claimed in claim 21, wherein the instructions, if executed, further result in receiving load data for the one or more machines, and refining the startup signatures based at least in part on the received load data.

24. The article of manufacture as claimed in claim 21, wherein said determining comprises selecting start times for the one or more machines wherein a maximum allowable current is not exceeded during the startup of the one or more machines based at least in part on the startup signatures.

25. The article of manufacture as claimed in claim 21, wherein the instructions, if executed, further result in:

sending a request to a sensor device to monitor load data for the one or more machines;

receiving the load data from the sensor device; and

creating or updating the startup signatures based at least in part on the received load data.