Abstract: Systems and methods to integrate equipment models are described herein. Integration of equipment models can occur responsive to detection of new physical devices.

Abstract: 1. A system includes a unit of building equipment serving a building and including a heating, ventilation, or cooling component and onboard circuitry configured to execute a configuration routine stored on the circuitry which automatically configures parameters of the building equipment based on the signals received from sensors and devices at the building. The system also includes a cloud system communicably connectable to the onboard circuitry and configured to influence the configuration routine.

Abstract: Systems and methods to integrate equipment models are described herein. Integration of equipment models can occur responsive to detection of new physical devices.

Abstract: Systems and methods are disclosed relating to building management systems with building equipment servicing. For example, a system can include at least one machine learning model configured using training data that includes at least one of unstructured data or structured data regarding items of equipment. The system can provide inputs, such as prompts, to the at least one machine learning model regarding an item of equipment, and generate, according to the inputs, responses regarding the item of equipment, such as responses for detecting a cause of an issue of the item of equipment, performing a service operation corresponding to the cause, or guiding a user through the service operation.

Abstract: Systems and methods to generate new equipment models and/or connectors to integrate the new equipment models are described herein. Generation of new equipment models can include retrieving information from one or more publicly accessible data sources.

Abstract: A method includes providing a plurality of units building equipment operable to directly affect one or more physical conditions of a building, connecting the plurality of units of building equipment to a communication network, and automatically establishing, by the plurality of units of building equipment, communications between the plurality of units of building equipment and an off-premise server via the communication network. Such communications are preferably not routed through any controllers external to the plurality of units of building equipment.

Abstract: Systems and methods described herein are directed to the integration and containerization of gateway components on edge devices, which may include building device gateways. A gateway executes a building device interface container that communicates, via an interface implemented by the building device interface container, with one or more building devices of the building to control or collect data from the one or more building devices. The gateway executes a processing container that processes the data from the one or more building devices. The gateway implements a virtual communication bus that facilitates communication between the building device interface container and the processing container.

Abstract: A system includes a unit of building equipment serving a building and including a heating, ventilation, or cooling component and onboard circuitry configured to execute a configuration routine stored on the circuitry which automatically configures parameters of the rooftop unit based on the signals received from sensors and devices at the building. The system also includes a cloud system communicably connectable to the onboard circuitry and configured to influence the configuration routine.

Abstract: Systems, methods, and non-transitory computer-readable media for optimization and autoconfiguration of edge processing devices are disclosed. A cloud computing system can receive a request to configure a target building device. The cloud computing system can identify, based on the target building device, a connector template for the target building device. The connector template can include one or more parameters for a connector component configured to cause the target building device to communicate with the cloud computing system. cloud computing system can generate the connector component for the target building device based on the one or more parameters. cloud computing system can deploy the connector component to the target building device.

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.

Abstract: A rooftop unit includes a housing, air conditioning components coupled to the housing and onboard circuitry enclosed within and/or coupled to the housing. The onboard circuitry is programmed to receive data from a plurality of data sources communicably coupled to the onboard circuitry. The data is received in a plurality of different formats according to a plurality different protocols. The onboard circuitry is also configured to translate the data from the plurality of formats into a common data format and perform operations onboard the rooftop unit using the data in the common data format.

Abstract: A rooftop unit includes a housing, air conditioning components coupled to the housing, and circuitry enclosed within and/or coupled to the housing and programmed to execute a control logic for the air conditioning components, an expression-based event processing logic, and a machine learning algorithm.

Abstract: A system includes a unit of building equipment serving a building and including a heating, ventilation, or cooling component and onboard circuitry configured to execute a configuration routine stored on the circuitry which automatically configures parameters of the rooftop unit based on the signals received from sensors and devices at the building. The system also includes a cloud system communicably connectable to the onboard circuitry and configured to influence the configuration routine.

Abstract: A system includes a cloud system in communication with a first unit of building equipment and a second unit of building equipment and configured to aggregate event data from a first unit of building equipment at a first building comprising first onboard circuitry configured to perform first onboard event processing to generate the event data for the first unit building equipment and a second unit of building equipment at a second building comprising second onboard circuitry configured to configured to perform the second onboard event processing to generate event data for the second unit building equipment. The cloud system is also configured to provide a user interface comprising a view of the aggregated event data for the first unit of building equipment and the second unit of building equipment.

Abstract: A method can include activating a building platform chip integrated into a building device of a building and coupled with a processing circuit of the building device. The method can include retrieving, by the building platform chip, first data from the processing circuit of the building device through communication with the processing circuit. The method can include generating, by the building platform chip, second data to cause a digital twin of the building device to be constructed.

Abstract: An actuator for controlling a flow regulation device. The actuator includes a drive device coupled to the flow regulation device and a motor coupled to the drive device and operable to move the drive device. The actuator further includes a processing circuit configured to receive a first measurement of a characteristic, control the actuator to reposition the flow regulation device in a first direction, receive a second measurement of the characteristic, determine an installation error associated with at least one of the actuator and the flow regulation device based on the first measurement and the second measurement.

Abstract: An integrated device in an HVAC system is configured to modify an environmental condition of a building. The integrated device includes a valve configured to regulate a flow of a fluid through a conduit and an actuator. The actuator includes a motor and a drive device. The drive device is driven by the motor and coupled to the valve for driving the valve between multiple positions. The integrated device further includes a processing circuit coupled to the motor. The processing circuit is configured to detect device identifying information for the valve or the actuator and to detect the integrated device location within the building.

Abstract: An actuator for controlling a flow regulation device. The actuator includes a drive device coupled to the flow regulation device and a motor coupled to the drive device and operable to move the drive device. The actuator further includes a processing circuit configured to receive a first measurement of a characteristic, control the actuator to reposition the flow regulation device in a first direction, receive a second measurement of the characteristic, determine an installation error associated with at least one of the actuator and the flow regulation device based on the first measurement and the second measurement.

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.