Discrete manufacturing hybrid cloud solution architecture

A method for processing industrial data, comprising:

• collecting, by a system comprising a processor, industrial data from data tags of an industrial device, wherein the data tags from which the industrial data is collected are specified by edge-level data manifest data;
• generating, by the system, compressed data containing the industrial data;
• adding, by the system, header information to the compressed data to yield a compressed data packet, wherein the header information is based on message queuing information maintained in a message queuing data store to yield a compressed data packet;
• sending, by the system, the compressed data packet to a cloud analytics system executing on a cloud platform;
• performing, by the system, an edge-level analytic procedure on a first subset of the industrial data, wherein the edge-level analytic procedure is specified by edge-level metrics manifest data and identifies a pattern in the first subset of the industrial data indicative of vibration or noise present in an industrial automation system;
• sending, by the system, a first command to the industrial device in response to identification of the pattern, wherein the first command is configured to alter control of the industrial automation system;
• receiving, by the system, an analytic result from the cloud analytics system, wherein the analytic result is generated based on a cloud-level analytic procedure performed on a second subset of the industrial data by the cloud analytics system;
• and
• sending, by the system, a second command to the industrial device based on the analytic result.

A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause an edge device comprising a processor to perform operations, the operations comprising:

• collecting industrial data from data tags of an industrial device, wherein the data tags from which the industrial data is collected are defined by edge-level data manifest data;
• generating compressed data containing the industrial data;
• appending header information to the compressed data to yield a compressed data packet, wherein the header information is based on message queuing information maintained in a message queuing data store to yield a compressed data packet;
• sending the compressed data packet to a cloud analytics system executing on a cloud platform;
• identifying, based on an edge-level analytic procedure defined by edge-level metrics manifest data and performed on a first subset of the industrial data, a pattern in the first subset of the industrial data indicative of equipment vibration or noise present in an industrial automation system;
• in response to the identifying, instructing the industrial device to alter control of the industrial automation system;
• receiving an analytic result from the cloud analytics system, wherein the analytic result is generated based on a cloud-level analytic procedure performed on a second subset of the industrial data by the cloud analytics system;
• and
• sending a second control instruction to the industrial device based on the analytic result.