05-01-2017 дата публикации
Номер: US20170003668A1
Принадлежит:
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. 1. A method , performed by a building automaton space facility of a heating , ventilation , and air-conditioning controller having a processor , for classifying sensors in one or more buildings , the method comprising: retrieving time-series data for the non-classified sensor of the first plurality of non-classified sensors of the one or more buildings,', retrieving time-series data for the classified sensor, and', 'determining a distance between the classified sensor and the non-classified sensor of the one or more buildings,, 'for each of a plurality of classified sensors,'}, 'determining whether a smallest distance determined for the non-classified sensor of the one or more buildings is less than a first predetermined threshold, and', identifying the classified sensor with the smallest determined distance from the non-classified sensor,', 'retrieving a name for the determined classified sensor with the smallest determined distance,', 'attributing, to the non-classified sensor of the one or more buildings, the retrieved name for the determined classified sensor with the smallest determined distance ...
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