Monitoring and control platform for industrial equipment with extensible data model

A method for monitoring and controlling an industrial process using a data model extensible to different industry applications, the method comprising:

• receiving data describing the industrial process from one or more data sources in a first format;
• contextualizing and transform the data by determining one or more tags for the data, the one or more tags comprising context information describing characteristics of entities involved in the industrial process and relationships between the entities;
• generating a data model describing the industrial process based on the one or more tags, wherein the data model is a graph data structure comprising:
• a first plurality of nodes representing entities associated with the industrial process;
• and
• a first plurality of edges connecting the first plurality of nodes and describing relationships between the first plurality of nodes, wherein at least one of the first plurality of nodes or the first plurality of edges are generated using the context information;
• receiving a first indication from a user indicating a first industry application to which the data model will be applied;
• and
• extending the data model to include a second plurality of nodes representing entities associated with the first industry application and a second plurality of edges connecting the second plurality of nodes and describing relationships between the second plurality of nodes.

A non-transitory computer readable medium having computer-executable instructions embodied therein that, when executed by at least one processor of a computing system, cause the computing system to perform operations, the operations comprising:

• receiving data describing an industrial process from one or more data sources in a first format;
• contextualizing and transform the data by determining one or more tags for the data, the one or more tags comprising context information describing characteristics of entities involved in the industrial process and relationships between the entities;
• generating a data model describing the industrial process based on the one or more tags, wherein the data model is a graph data structure comprising:
• a first plurality of nodes representing entities associated with the industrial process;
• and
• a first plurality of edges connecting the first plurality of nodes and describing relationships between the first plurality of nodes, wherein at least one of the first plurality of nodes or the first plurality of edges are generated using the context information;
• receiving a first indication from a user indicating a first industry application to which the data model will be applied;
• and
• extending the data model to include a second plurality of nodes representing entities associated with the first industry application and a second plurality of edges connecting the second plurality of nodes and describing relationships between the second plurality of nodes.