Abstract: A device for use in a building management system (BMS) is a controller device. The device includes a base comprising a first processor and a base interface, the first processor being configure to provide control operations for a device in the building system, and a first module installable on and removable from the base. The first module includes a first module interface for receiving power from and communicating with the base via the base interface. In some embodiments, the device includes an optional a second module installable on and removable from the base, the second module comprising a second module interface for receiving power from and communicating with the base via the base interface.

Abstract: Systems and methods for building management utilizing adaptive edge processing are disclosed. The building system can store gateway components on storage devices. The gateway components can facilitate communication with a cloud platform and facilitate communication with a physical building device. The building system can identify a computing system of the building that is in communication with the physical building device. The physical building device can store one or more data samples. The building system can deploy the gateway components to the computing system responsive to identifying that the computing system is in communication with the physical building device. The gateway components can cause the computing system to communicate with the physical building device to receive the one or more data samples and cause the computing system to communicate the one or more data samples to the cloud platform.

Abstract: A building system including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive an event from an event source, the event comprising data and a timestamp. The building system operates to identify first contextual data describing the event in a digital twin, the digital twin comprising a virtual representation of a building, enrich the event with the first contextual data, and provide the enriched event to a consuming system, the consuming system generating an output event based on the enriched event. The building system operates to identify second contextual data describing the output event in the digital twin, enrich the output event with the second contextual data, and provide the enriched output event to the consuming system or another consuming system.

Abstract: A heating, ventilation, air conditioning, and refrigeration (HVAC&R) system includes a heat exchanger with a shell having a first pass configured to place a fluid in a heat exchange relationship with a first refrigerant and a second pass configured to place the fluid in a heat exchange relationship with a second refrigerant. The heat exchanger also includes a water box coupled to the shell and configured to direct the fluid from the first pass to the second pass. The HVAC&R system also includes a fluid mixing manifold disposed within the water box, where the fluid mixing manifold is configured to collect and mix a plurality of flows of the fluid from within the water box to generate a mixed fluid, and a sensor coupled to the fluid mixing manifold, where the sensor is configured to measure a parameter of the mixed fluid.

Abstract: A building management system includes (i) one or more building systems including equipment configured to serve one or more spaces in a building and (ii) one or more circuits. The one or more circuits are configured to receive an input to invoke a control strategy to modify a condition of the one or more spaces; define an output of the control strategy where the output relates to a modification that impacts at least one of a location, an equipment type, or a point type; perform a query to identify one or more points associated with the output where the one or more points are defined in terms of at least one of the location, the equipment type, or the point type; and automatically modify one or more values of the one or more points to implement the control strategy.

Abstract: A controller for performing automated system identification. The controller includes processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations including generating a predictive model to predict system dynamics of a space of a building based on environmental condition inputs and including performing an optimization of a cost function of operating building equipment over a time duration to determine a setpoint for the building equipment. The optimization is performed based on the predictive model. The operations include operating the building equipment based on the setpoint to affect a variable state or condition of the space and include monitoring prediction error metrics over time. The operations include, in response to detecting one of the prediction error metrics exceeds a threshold value, updating the predictive model.

Abstract: A system includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including receiving building information model (BIM) data associated with a building comprising one or more building assets, identifying one or more BIM objects within the BIM, identifying one or more object relationships between the one or more BIM object, applying a semantic description to each of the one or more BIM objects and the one or more object relationships, and generating a hierarchy structure for the building based on the one of more BIM objects and the one or more object relationships. The one or more BIM objects are associated with the one or more building assets and the hierarchy structure includes the semantic description of each of the one or more BIM objects and the one or more object relationships.

Abstract: A controller for equipment that operates to affect a variable state or condition of a building including one or more processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include performing model predictive control and proportional, integral, derivative control using adaptive artificial intelligence, performing tampering prediction using adaptive artificial intelligence, or detecting degradation using adaptive artificial intelligence.

Abstract: A Building Management System (BMS) can include one or more memory devices that can store instructions thereon. The instructions can, when executed by one or more processors, cause the one or more processors to receive a first set of data corresponding to a piece of building equipment for a building, transmit the first set of data to a system to integrate the piece of building equipment with the system, receive a second set of data that includes one or more second values corresponding to second timeseries data associated with the piece of building equipment, detect a difference between one or more first values and the one or more second values that indicates a Change of Value (COV) for at least one parameter associated with the one or more second values, and transmit a third set of data that identifies the COV without a subsequent transmission of the semantic information.

Abstract: An HVAC controller includes one or more processors and one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising determining a filtration efficiency of an air filter located within an air handling unit and positioned to filter a pollutant from an airstream provided to a building zone by the air handling unit, determining an internal generation rate of the pollutant within the building zone, and initiating an automated action based on the filtration efficiency of the air filter within the air handling unit and the internal generation rate of the pollutant within the building zone.

Abstract: A sensor device including a housing and a number of sensors.

Abstract: A Building Management System (BMS) can include one or more memory devices that can store instructions thereon that, when executed by one or more processors, cause the one or more processors to receive a selection of a plurality of parameters associated with one or more pieces of building equipment of a building, identify an evaluation to test a performance of the one or more pieces of building equipment, determine a routine to perform the evaluation, retrieve a plurality of control parameters associated with a plurality of elements of the routine, and transmit control signals to the one or more pieces of building equipment to execute the routine.

Abstract: A controller for one or more pumps in a central plant is configured to obtain first values of flow rate of a fluid provided by the one or more pumps to a building or campus and corresponding first values of a pressure differential across the building or campus during a first time period, generate a system curve for the building or campus that defines a relationship between the flow rate and the pressure differential using the first values of flow rate and pressure differential during the first time period, predict a second value of the pressure differential across the building or campus during a second time period using the system curve and a second value of the flow rate during the second time period, and operate the one or more pumps to achieve the second value of the pressure differential across the building or campus during the second time period.

Abstract: An adaptive airflow control system can be used to position damper systems or controlling air units utilized in an environment control system. The environment can include a controller. The controller includes a circuit configured to provide a control signal in response to a sensed flow signal. The control signal is related to a desired rate of flow provided across a component. The circuit is configured to provide the control signal in accordance with a system gain factor calculated using a pressure factor which represents a pressure drop across the component associated with a unit of the environment control system.

Abstract: A controller for HVAC equipment uses a predictive model for the HVAC equipment to calculate a plurality of values of a model-predicted heating or cooling load of the HVAC equipment at a plurality of time steps within a time period, obtains a plurality of values of an actual heating or cooling load of the HVAC equipment at the plurality of time steps within the time period, generates a calibration model that relates the model-predicted heating or cooling load to the actual heating or cooling load using the plurality of values of the model-predicted heating or cooling load and the plurality of values of the actual heating or cooling load, uses the calibration model to calculate calibrated values of the model-predicted heating or cooling load of the HVAC equipment, and operates the HVAC equipment using the calibrated values of the model-predicted heating or cooling load.

Abstract: Systems and methods for reducing health risks with respect to an infectious disease in buildings. Health data for an infectious diseases is used to determine a health risk level for building spaces and individuals in the building. An air handling action or a disinfection action is performed based on the health risk level.

Abstract: A building management system comprising a database storing relationships between a plurality of building objects representing building equipment and building spaces and a configuration tool. The configuration tool is configured to obtain configuration data associated with a first building object of the plurality of building objects and use the relationships between the plurality of building objects to identify a second building object having a stored relationship with the first building object. The configuration tool is also configured to automatically generate configuration data for the second building object based on the configuration data associated with the first building object and the relationship with the second building object.

Abstract: A zoning system for a heating, ventilation, and/or air conditioning (HVAC) system includes a temperature control device configured to monitor a temperature in a zone of a structure for conditioning by the HVAC system and configured to send a wireless control signal including data based on the temperature, and a damper actuator configured to be associated with the zone and configured to adjust a position of a damper to control an airflow into the zone, where the damper actuator is configured to receive the wireless control signal from the temperature control device and configured to adjust the position of the damper based on the data.

Abstract: A method for controlling building equipment includes generating building data relating to conditions in a building space using a generative artificial intelligence model. The method also includes determining whether the building data correspond to conditions in the building space that comply with one or more regulations or certification standards. The method includes, in response to determining that the building data correspond to conditions in the building space that comply with the one or more regulations or certification standards, using the building data to operate building equipment that serve the building space.

Abstract: A system includes a first subsystem configured to produce a resource by consuming electricity, a second subsystem configured to produce the resource by consuming a fuel, and a controller. The controller is configured to determine an allocation of a predicted demand for the resource over a future time period between the first subsystem and the second subsystem based on a first carbon emissions rate associated with off-site production of the electricity and a second carbon emissions rate associated with on-site consumption of the fuel. The controller is also configured to control the first subsystem and the second subsystem to produce the resource in accordance with the allocation during the future time period.