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What this guide is about

The website aims to provide guidance in three major areas.

1. Model construction & validation​

Guidance for practitioners who are trying to build their own models. We know how hard it is to decifier source system data (typically from BMS) that has been randomly labeled. This section hopes to help you decide what the true purpose of your points are, and how to structure the entities related to them and the building.

  • Guidance for how to structure a building model
  • Definitions on validation rules your model will be measured against
  • Rationale for some classification decisions that are not straight forward or have regional variation

2. Analytics​

Information on analytics functions that can be run against well built (validated) models. While the validation in the section above is based partly on this content, in this section we break down the rules available; describing how they function, any concessions or variations made, the requirements to enable them, when you should deploy them, and why they are important.

3. Graphs​

This section is a technical insight into some of the queries, attributes, and tooling around graph models. We explore:

  • additional attributes that can be defined in a graph model, and why we have created them.
  • additional relationships that we automatically add to the models, and what they enable
  • ...