Data modeling and asset management using an industrial information hub

A method, comprising:

• generating, by a system comprising a processor and executing on a cloud platform, project telemetry data based on analysis of an industrial control project submitted to the system, wherein
• the industrial control project comprises at least control code and device configuration data that, in response to execution on one or more industrial devices, facilitate monitoring and control of an industrial automation system, and
• the project telemetry data identifies industrial assets referenced by the industrial control project;
• retrieving, by the system from a vendor repository residing on the cloud platform, digital asset models corresponding to the industrial assets identified by the project telemetry data;
• generating, by the system, a digital twin of the industrial automation system based on the digital asset models;
• simulating, by the system based on the digital twin and emulated execution of the control code on the cloud platform, operation of the industrial automation system under control of the industrial control project;
• and
• generating, by the system, simulated performance data based on the simulating, wherein the simulated performance data comprises at least one of an estimated product throughput rate, an estimated machine downtime frequency, an estimated energy consumption of the industrial automation system, an estimated network traffic level, an estimated machine or device lifecycle, an expected rate of degradation of a mechanical component of the industrial automation system, or an expected force applied to a component of the industrial automation system.

A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause a system executing on a cloud platform and comprising a processor to perform operations, the operations comprising:

• generating project telemetry data based on analysis of an industrial control project submitted to the system, wherein
• the industrial control project comprises at least control programming and device configuration data that, in response to execution on one or more industrial devices, facilitate monitoring and control of an industrial automation system, and
• the project telemetry data identifies industrial assets referenced by the industrial control project;
• retrieving, from a vendor repository residing on the cloud platform, digital asset models corresponding to the industrial assets identified by the project telemetry data;
• generating a digital twin of the industrial automation system based on the digital asset models;
• simulating, based on the digital twin and emulated execution of the control programming on the cloud platform, operation of the industrial automation system under control of the industrial control project;
• and
• generating simulated performance data based on the simulating, wherein the simulated performance data comprises at least one of an estimated product throughput rate, an estimated machine downtime frequency, an estimated energy consumption of the industrial automation system, an estimated network traffic level, an estimated machine or device lifecycle, an expected rate of degradation of a mechanical component of the industrial automation system, or an expected force applied to a component of the industrial automation system.