Industrial monitoring using cloud computing

1. A method to facilitate cloud-based data processing and analysis in an industrial automation environment, the method comprising:

in response to receiving a snapshot of operational data generated by at least one industrial machine from an on-premise agent in an industrial automation environment, storing the operational data in an unstructured format in an unstructured data storage system, wherein the operational data comprises data tags and each of the data tags is individually time stamped to form time-series data;

in response to storing the operational data, identifying a system manifest associated with the operational data;

identifying, from the system manifest, a data processing procedure for converting the operational data from the unstructured format to a structured format;

processing the operational data according to the identified procedure to convert the operational data to the structured format and storing the operational data in the structured format, along with a tag manifest that indicates analytics operations to perform on the operational data;

receiving a request for analytics that specifies at least a time interval for performing the analytics; and

in response to receiving the request:

identifying relevant tags from the tag manifest;

extracting, from the operational data in the structured format, at least a portion of the operational data that is associated with the time interval and the relevant tags;

identifying a metrics manifest associated with the one of the analytics operations; and

executing the analytics operations on the at least the portion of the operational data using the metrics manifest over the time interval.

2. The method of claim 1 comprising storing the operational data generated by at least one industrial machine in a local cache and transferring the operational data to the unstructured data storage system in the form of snapshots via the on-premise agent.

3. The method of claim 1 wherein the request for the analytics comprises a priority.

4. The method of claim 3 wherein executing the analytics on the at least the portion of the operational data comprises processing the request for the analytics based on the priority using a priority queue.

5. The method of claim 1 wherein transferring the operational data for storage in the unstructured data storage system in the cloud-based architecture comprises assigning a priority to the operational data.

6. The method of claim 5 wherein assigning the priority to the operational data comprises assigning the priority to the data tags of the operational data.

7. The method of claim 5 wherein processing the operational data to convert the operational data to the structured format and storing the operational data in the structured format comprises processing the operational data based on the priority.

8. An article of manufacture to operate a computing system to facilitate cloud-based data processing and analysis in an industrial automation environment, the article of manufacture comprising:

software instructions configured, when executed by the computing system, to direct the computing system to store operational data generated by at least one industrial machine in an unstructured format in an unstructured data storage system in response to receiving a snapshot of the operational data from an on-premise agent in an industrial automation environment, wherein the operational data comprises data tags and each of the data tags is individually time stamped to form time-series data;

the software instructions further configured to direct the computing system to:

in response to storing the operational data, identify a system manifest associated with the operational data;

identify, from the system manifest, a data processing procedure for converting the operational data from the unstructured format to a structured format;

process the operational data according to the identified procedure to convert the operational data to the structured format;

store the operational data in the structured format, along with a tag manifest that indicates analytics operations to perform on the operational data;

receive a request for analytics that specifies at least a time interval for performing the analytics; and

in response to receiving the request:

identify relevant tags from the tag manifest;

extract, from the operational data in the structured format, at least a portion of the operational data that is associated with the time interval and the relevant tags;

identify a metrics manifest associated with the one of the analytics operations; and

execute the analytics operations on the at least the portion of the operational data using the metrics manifest over the time interval; and

at least one non-transitory computer-readable storage medium storing the software instructions.

9. The article of manufacture of claim 8 wherein the operational data generated by at least one industrial machine is stored in a local cache and transferred for storage in the unstructured data storage system by the on-premise agent in the form of snapshots.

10. The article of manufacture of claim 8 wherein the request for the analytics comprises a priority.

11. The article of manufacture of claim 10 wherein the software instructions configured to direct the computing system to execute the analytics on the at least the portion of the operational data comprises the software instructions configured to direct the computing system to process the request for the analytics based on the priority using a priority queue in the cloud based architecture.

12. The article of manufacture of claim 9 wherein the operational data stored in the local cache and transferred for storage in the unstructured data storage system has been assigned a priority.

13. The article of manufacture of claim 12 wherein the data tags of the operational data stored in the local cache and transferred for storage in the unstructured data storage system have been assigned the priority.

14. One or more computer-readable storage media comprising program instructions stored thereon to facilitate cloud-based storage, processing and analysis of operational data in an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least:

in response to receiving a snapshot of operational data generated by at least one industrial machine from an on-premise agent in an industrial automation environment, store the operational data in an unstructured format in an unstructured data storage system, wherein the operational data comprises data tags and each of the data tags is individually time stamped to form time-series data;

in response to storing the operational data, identify a system manifest associated with the operational data;

identify, from the system manifest, a data processing procedure for converting the operational data from the unstructured format to a structured format;

process the operational data according to the identified procedure to convert the operational data to the structured format and store the operational data in the structured format, along with a tag manifest that indicates analytics operations to perform on the operational data;

receive a request for analytics that specifies at least a time interval for performing the analytics; and

in response to receiving the request:

identify relevant tags from the tag manifest;

extract, from the operational data in the structured format, at least a portion of the operational data that is associated with time interval and the relevant tags;

identify a metrics manifest associated with the one of the analytics operations; and

execute the analytics operations on the at least the portion of the operational data using the metrics manifest over the time interval.

15. The one or more computer-readable storage media of claim 14 wherein the operational data generated by at least one industrial machine is stored in a local cache and transferred to the unstructured data storage system by the on-premise agent in the form of snapshots.

16. The one or more computer-readable storage media of claim 14 wherein the request for the analytics comprises a priority.

17. The one or more computer-readable storage media of claim 16 wherein, to execute the analytics on the at least the portion of the operational data, the program instructions direct the computing system to process the request for the analytics based on the priority using a priority queue.

18. The one or more computer-readable storage media of claim 14 wherein, to transfer the operational data for storage in the unstructured data storage system, the program instructions direct the computing system to assign a priority to the operational data.

19. The one or more computer-readable storage media of claim 18 wherein, to assign the priority to the operational data, the program instructions direct the computing system to assign the priority to the data tags of the operational data.

20. The one or more computer-readable storage media of claim 18 wherein, to process the operational data to convert the operational data to the structured format and store the operational data in the structured format in the, the program instructions direct the computing system to process the operational data based on the priority.