Abstract: Techniques for determining point type, equipment type, equipment instance, and equipment relationship for different points associated with pieces of equipment located at a building is described. The techniques may include obtaining data corresponding to point(s) associated with one or more pieces of equipment located at a building controlled by a building control network, and using the data and statistical model(s) to determine point type(s), equipment type(s), and/or equipment instance(s) for the point(s). The techniques may include determining operational relationships between different pieces of equipment located at the building.

Abstract: Techniques for determining point type, equipment type, equipment instance, and equipment relationship for different points associated with pieces of equipment located at a building is described. The techniques may include obtaining data corresponding to point(s) associated with one or more pieces of equipment located at a building controlled by a building control network, and using the data and statistical model(s) to determine point type(s), equipment type(s), and/or equipment instance(s) for the point(s). The techniques may include determining operational relationships between different pieces of equipment located at the building.

Abstract: Techniques for determining equipment names and other information from engineering drawings are described. In an example embodiment, image data representing at least a portion of an engineering drawing for a building is received, the image data is processed using a first ML model to identify a first portion of the image data corresponding to a first region from a set of regions, the first portion of the image data is processed to recognize first text data, using at least a second ML model the first text data is determined to correspond to a first equipment type from a set of equipment types, wherein the set of equipment types relate to the equipment included in the building, and using the first equipment type and an ontology representing relationships between equipment types and equipment name, a first equipment name corresponding to the first text data is determined.

Abstract: Techniques for determining point type, equipment type, equipment instance, and equipment relationship for different points associated with pieces of equipment located at a building is described. The techniques may include obtaining data corresponding to point(s) associated with one or more pieces of equipment located at a building controlled by a building control network, and using the data and statistical model(s) to determine point type(s), equipment type(s), and/or equipment instance(s) for the point(s). The techniques may include determining operational relationships between different pieces of equipment located at the building.