US 11,385,611 B2 · Advanced identification and classification of sensors and other points in a building automation system

Abstract

A building automation space facility or building automation facility comprising systems and methods for classifying and standardizing sensors and sensor data using time-series data and/or meta data, such as data and meta information available in a control network or hardware is disclosed. The disclosed system and methods provide techniques to rapidly identify and classify sensors using analysis of time-series data (e.g., data collected from a sensor such as by polling the sensor every second, minute, hour, day, month, and so on) and/or meta data (e.g., label names, group names, associated equipment, and so on) from these sensors and associated control systems. In this manner, the disclosed techniques greatly improve the extent to which a building automation facility or system monitors, manages, and reports on various elements within a building or group of buildings.

Claims20

Dependent claims

A method, performed by a building automation system having at least one processor and at least one memory, for classifying points in one or more buildings, the comprising:

for each of a first plurality of non-classified points of the one or more buildings,
retrieving time-series data for the non-classified point of the first plurality of non-classified points of the one or more buildings,
for each of a plurality of classified points,
retrieving time-series data for the classified point, and
determining a distance between the classified point and the non-classified point based at least in part on the retrieved time-series data for the non-classified point of the first plurality of non-classified points of the one or more buildings, and
determining whether a smallest distance determined for the non-classified point of the one or more buildings is less than a first predetermined threshold.

3 more elements

A building automation system for classifying points in one or more buildings, the system comprising:

one or more processors;
one or more memories;
and
a component configured to, for each of a first plurality of non-classified points of the one or more buildings,
retrieve time-series data for the non-classified point of the first plurality of non-classified points of the one or more buildings,
for each of a plurality of classified points,
retrieve time-series data for the classified point, and
determine a distance between the classified point and the non-classified point based at least in part on the retrieved time-series data for the non-classified point of the first plurality of non-classified points of the one or more buildings,
determine whether a smallest distance determined for the non-classified point of the one or more buildings is less than a first predetermined threshold, and
in response to determining that the smallest distance determined for the non-classified point of the one or more buildings is less than the first predetermined threshold,
identify the classified point with the smallest determined distance from the non-classified point,
retrieve a label for the determined classified point with the smallest determined distance, and
attribute, to the non-classified point, the retrieved label for the determined classified point with the smallest determined distance from the non-classified point,
wherein the component comprises computer executable instructions stored in the one or more memories for execution by the one or more processors.

11 more elements

A computer-readable storage medium storing instructions that, if executed by a building automation system having at least one processor and at least one memory, cause the building automation system to perform operations for classifying points in one or more buildings, the operations comprising:

for each of a first plurality of non-classified points of the one or more buildings,
retrieving time-series data for the non-classified point of the first plurality of non-classified points of the one or more buildings,
for each of a plurality of classified points,
determining a distance between the classified point and the non-classified point based at least in part on the retrieved time-series data for the non-classified point of the first plurality of non-classified points of the one or more buildings,
determining whether a smallest distance determined for the non-classified point of the one or more buildings is less than a first predetermined threshold, and
in response to determining that the smallest distance determined for the non-classified point of the one or more buildings is less than the first predetermined threshold,
identifying the classified point with the smallest determined distance from the non-classified point.

4 more elements

Dependencies are inferred from the claim text.

Advanced identification and classification of sensors and other points in a building automation system

Life of this patent

Advanced identification and classification of sensors and other points in a building automation system

Life of this patent

Abstract

Claims20