The metadata inference function classifies BAS labels into groups of the relevant sensor and actuator types, and then associates the labels to the corresponding AHU or zone.

Outputs

The metadata inference function is particularly unique from the other functions in the toolkit as it does not generate any KPIs or visuals intended to identify energy deficiencies or opportunities for energy optimization. This function serves as a pre-processing tool to identify the relevant metadata labels for the AHU- and zone-level HVAC control network trend data. The relevant data points are listed in Table 1 for the AHU level, and Table 2 for the zone level. Thus, this functions outputs a table of the labels and controller address IDs which were identified to represent the relevant data points.

Relevant data points Abbreviation
Supply air temperature tSa
Return air temperature tRa
Outdoor air temperature tOa
Supply air pressure pSa
Outdoor air damper position sOa
Heating coil valve position sHc
Cooling coil valve position sCc
Supply fan state sFan
Supply air temperature setpoint tSaSp
Supply air pressure setpoint pSaSp
Table 1: Relevant data points for AHU-level HVAC control network trend data.
Relevant data points Abbreviation
Indoor air temperature tIn
Supply airflow qFlo
Supply airflow setpoint qFloSp
State of perimeter heating device(s) sRad
Table 2: Relevant data points for zone-level HVAC control network trend data.
Actively in development, an open-source project by the Data-driven Building Operation and Maintenance team within Carleton University's Building Performance Research Center.