Abstract: Aspects of the present disclosure include methods, systems, and non-transitory computer readable media that perform the steps of receiving a first plurality of snapshots, generating a first plurality of descriptors each associated with the first plurality of snapshots, grouping the first plurality of snapshots into at least one cluster based on the plurality of descriptors, selecting a representative snapshot for each of the at least one cluster, generating at least one second descriptor for the representative snapshot for each of the at least one cluster, wherein the at least one second descriptor is more complex than the first plurality of descriptors, and identifying a target by applying the at least second descriptor to a second plurality of snapshots.

Abstract: A chiller threshold management system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to determine whether chiller fault data exists in chiller data used to generate a plurality of chiller prediction models. The one or more processors are further configured to generate a first threshold evaluation value for each of the plurality of chiller prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second threshold evaluation value for each of the chiller prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data.

Abstract: A chiller fault prediction system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to receive chiller data for a plurality of chillers, the chiller data indicating performance of the plurality of chillers. The one or more processors are configured to generate, based on the received chiller data, a plurality of single chiller prediction models and a plurality of cluster chiller prediction models, the plurality of single chiller prediction models generated for each the plurality of chillers and the plurality of cluster chiller prediction models generated for chiller clusters of the plurality of chillers.

Abstract: A model management system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to determine whether chiller fault data exists in chiller data used to generate a plurality of chiller shutdown prediction models. The one or more processors are further configured to generate a first performance evaluation value for each of the plurality of chiller shutdown prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second performance evaluation value for each of the plurality of chiller shutdown prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data.

Abstract: A gesture and location recognition system and method are provided. The system includes a sensor device that captures a data signal of a user and detects a gesture input from the user from the data signal, wherein a user location can be calculated based on a sensor location of the sensor device in a building and the collected data signal of the user, a signal processing device that generates a control signal based on the gesture input and the user location, and in-building equipment that receives the control signal from the signal processing device and controls the in-building equipment based on the control signal.

Abstract: A gesture-based interaction system for communication with an equipment-based system includes a sensor device and a signal processing unit. The sensor device is configured to capture at least one scene of a user to monitor for at least one gesture of a plurality of possible gestures, conducted by the user, and output a captured signal. The signal processing unit includes a processor configured to execute recognition software and a storage medium configured to store pre-defined gesture data. The signal processing unit is configured to receive the captured signal, process the captured signal by at least comparing the captured signal to the pre-defined gesture data for determining if at least one gesture of the plurality of possible gestures are portrayed in the at least one scene, and output a command signal associated with the at least one gesture to the equipment-based system.

Abstract: A gesture and location recognition system and method are provided. The system includes a sensor device that captures a data signal of a user and detects a gesture input from the user from the data signal, wherein a user location can be calculated based on a sensor location of the sensor device in a building and the collected data signal of the user, a signal processing device that generates a control signal based on the gesture input and the user location, and in-building equipment that receives the control signal from the signal processing device and controls the in-building equipment based on the control signal.