ASHRAE 223 Semantic Data Model for Analytics and Automation Applications in Buildings

Purpose

The purpose of this standard is to define formal knowledge concepts and a methodology to apply them to create interoperable, machine-readable semantic frameworks for representing building automation and control data, and other building system information.

Scope

This standard provides a comprehensive way to apply semantic formalisms to represent the context of building system data and relationships between the associated building mechanical system components so that software applications can find and understand the information in an automated way. It is intended to facilitate the development and implementation of building analytics tools and enterprise knowledge applications that can implement many building system functions, including:

  1. automated fault detection and diagnostics,
  2. building system commissioning,
  3. digital twins,
  4. optimization of energy use, and
  5. smart grid interactions.

About Standard 223

The motivation for this standard is to facilitate the deployment and use of software tools that leverage the data available from building automation systems to improve building system operation in a variety of ways. This standard builds upon standards and tools developed by the World Wide Web Consortium (W3C). Using those general tools, this standard defines modeling constructs for use in creating machine-readable representations of building systems, the building spaces that they serve, and the measurement and control points used to provide a safe and comfortable environment for the building occupants. The result is a searchable knowledge graph that can be used to automate the data mapping and configuration needed to deploy analytical, management, and control tools for the built environment.

This web site hosts supporting material for Standard 223 including: