Abstract: A method for calibrating a flow sensor in a heating, ventilation, or air conditioning (HVAC) system. The method includes receiving, at a controller, a request to enter a calibration mode and, in response to receiving the request, automatically commanding a flow control device to achieve a target flow rate. The method further includes generating, by the controller, calibration data for the flow sensor using a reference flow value of the flow rate when the flow control device has achieved the target flow rate and a corresponding flow measurement from the flow sensor.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a command to perform an action for an entity. The instructions cause the one or more processors to identify a service configured to perform the action based on a building graph, the building graph including a plurality of nodes and a plurality of edges, wherein the plurality of nodes represent entities of the building, the service, and one or more other services, wherein the plurality of edges represent relationships between the entities and communication actions of the service with the one or more other services and cause the service to perform the action by causing the service to perform one or more communication actions with the one or more other services indicated by the building graph.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a query for information of a building graph of the building from a system, the query including an indication of an entity and an indication of an event associated with the entity. The instructions cause the one or more processors to query the building graph with the indication of the entity and the indication of the event associated with the entity for the information of the building graph and generate a query response based on the information and provide the query response to the system.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a modification to a graph, the graph comprising a plurality of nodes and a plurality of edges between the plurality of nodes, the plurality of nodes representing entities of the building and the plurality of edges representing relationships between the entities of the building. The instructions cause the one or more processors to generate a change feed event, the change feed event recording the modification to the graph and add the change feed event to a change feed comprising a plurality of change feed events representing modifications to the graph at a plurality of different times.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a request to access a portion of a building graph of the building from a system, the building graph including a plurality of nodes and a plurality of edges, the plurality of nodes representing entities of the building and the plurality of edges representing relationships between the entities of the building. The instructions cause one or more processors to determine whether the system has access to the portion of the building graph based on a policy indicated by the plurality of nodes and edges of the building graph and provide the portion of the building graph to the system in response to a determination that the system has access to the portion of the building graph.

Abstract: A method includes receiving a first building information model (BIM) file and a second BIM file, the first and second BIM files both associated with a building comprising one or more assets, identifying a first set of BIM objects within the first BIM and a second set of BIM objects within the second BIM, the first set of BIM objects and the second set of BIM object each comprising one or more BIM objects associated with the one or more assets, identifying one or more relationships between objects of the first set of BIM objects and objects of the second set of BIM objects, applying a semantic description to the first set of BIM objects, the second set of BIM objects, and the one or more relationships, and generating a data structure comprising the first set of BIM objects, the second set of BIM objects, and the relationships.

Abstract: An edge platform of a building communicatively coupled to a cloud system, the edge platform including one or more memory devices having instructions stored thereon and one or more processors executing the instructions causing the one or more processors to receive an event from a piece of building equipment of the building, the event indicating a data value associated with the piece of building equipment occurring at a particular time, identify contextual data of a data structure that provides a contextual description of the event, generate an enriched event by enriching the event with the contextual data, the enriched event including the data value, the particular time, and the contextual data, and communicate the enriched event to the cloud system configured to operate based on the enriched event.

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 obtaining a first building information model (BIM) file associated with a building, the building comprising one or more building assets, obtaining a second BIM file associated with the building, linking data from the first BIM file to data from the second BIM file, and concurrently presenting, via a single user interface, a representation of at least a portion of the first BIM file and the second BIM file based on the linked data.

Abstract: An actuator controls the operation of a valve member to achieve desired flow or no-flow states through different inlet ports of the valve in response to different types of input signals from one or more input sources. In some embodiments, the actuator drives the valve member along a first portion of a travel path to regulate flow through a first inlet port using analog or binary input signal(s) from a first input source, and drives the valve member along a second portion of the travel path to regulate flow through a second inlet port using analog or binary input signal(s) from a second input source. In some embodiments the actuator drives the valve member along the entire travel path to regulate flow through each of the first inlet port and the second inlet port responsive to an analog input signal from a single input source.

Abstract: A system includes a compressor configured to compress a vapor, or a vapor and liquid mixture, and a first rotor of the compressor disposed on a first shaft, where the first rotor includes a first plurality of pockets in a first body portion to form a first semi-hollow internal volume or a plurality of flanks and/or a first plurality of flutes on a first external surface of the first rotor, where the plurality of flanks or the first plurality of flutes comprises a first pitch to form first variable leads.

Abstract: A method for detecting anomalous behavior includes receiving a plurality of historical events that occurred over a time period, identifying respective timestamps of the plurality of events, and grouping the plurality of events into respective time buckets that extend over a predetermined time interval based on the respective timestamps. The method includes identifying a subset of the time buckets that are each associated with a particular first time unit of the plurality of first time units and a particular second time unit of the second plurality of time units, counting a number of the events in each of the subset, and generating a temporal profile including an occurrence rate calculated based on the counted number of events.

Abstract: In one embodiment, a housing system for a heating, ventilating, and air conditioning (HVAC) unit includes a rigid shell. The rigid shell includes a top panel, a front panel, and a rear panel. The HVAC unit also includes a bottom panel configured to be disposed within a first portion of a bottom plane of the HVAC unit, a first side panel, and a second side panel. The first side panel and the second side panel are each configured to be disposed within respective side planes of the HVAC unit and are each configured to be disposed within respective second portions of the bottom plane. The housing system is configured to be internally accessed through the respective side planes. Internal access of the housing system through either of the respective side planes is provided at least partially by rotation of the first side panel and/or the second side panel.

Abstract: Embodiments of the present disclosure are directed to a climate management system that includes a heat exchanger having a first set of microchannel coils fluidly coupled to a first circuit of the climate management system and a second set of microchannel coils fluidly coupled to a second circuit of the climate management system, where the first circuit and the second circuit are fluidly separate from one another, and where the first set of microchannel coils and the second set of microchannel coils are disposed in an alternating arrangement along a length of the heat exchanger such that the first set of microchannel coils and the second set of microchannel coils are interlaced in the heat exchanger.

Abstract: A method of generating a fault determination in a building management system (BMS), the method including receiving signal data, generating, using a number of fault detection models, a number of fault indications based on the signal data, generating, using a weighting function, based on the number of fault indications, a fault score, comparing the fault score to a fault value, and determining, based on the comparison, an existence of a fault.

Abstract: A controller for performing a peer analysis of a predictive model for a building including processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include comparing model parameters of a set of predictive models corresponding to a set of building zones, the model parameters indicating system dynamics of the building zones, to determine whether any of the building zones are exhibiting abnormal system dynamics. The operations include initiating a corrective action in response to determining that at least one of the building zones is exhibiting abnormal system dynamics.

Abstract: A building system for detecting faults in an operation of building equipment. The building system comprising one or more memory devices configured to store instructions thereon that cause the one or more processors to perform a cumulative sum (CUSUM) analysis on actual building data and corresponding predicted building data to obtain cumulative sum values for a first plurality of times within a first time period; analyze cumulative sum values associated with a second plurality of times occurring before the first time to identify a second time of the second plurality of times at which a second cumulative sum value is at a local minimum; and determine that a first fault began at the second time.

Abstract: Systems and methods for training a surrogate model for predicting system states for a building management system based on generated data from a system identification model are disclosed herein. The system identification model is used to generate predicted system parameters of a zone of the building based on historic data from operation of the building equipment. The surrogate model is trained based on the predicted system parameters from the system identification model. Predicted future parameters of the variable state of the building are generated using the surrogate model. The surrogate model is re-trained based on new operational data from the building equipment. An updated series of predicted future parameters is generated using the re-trained surrogate model.

Abstract: An environmental control system for a building space including heating, ventilation, or air conditioning (HVAC) equipment that operates to control a temperature of the building space. The system includes lighting equipment that operates to control a luminosity and affect a heat load disturbance for the building space. The system includes an environmental controller including a processing circuit configured to predict the heat load disturbance based on potential operating states of the lighting equipment over a time period. The heat load disturbance affects the temperature of the building space. The processing circuit is configured to generate control decisions for the HVAC and lighting equipment based on the predicted heat load disturbance and subject to constraints on the temperature and luminosity of the building space. The processing circuit is configured to operate the HVAC and lighting equipment based on the control decisions.

Abstract: A building system for detecting faults in an operation of building equipment. The building system comprising one or more memory devices configured to store instructions thereon that cause one or more processors to perform a cumulative sum (CUSUM) analysis on actual building data and corresponding predicted building data to obtain cumulative sum values for a plurality of times within a first time period; determine a first time at which a first cumulative sum value is at a first maximum; identify a second cumulative sum value at a second maximum at a second time occurring after the first time; compare the identified second cumulative sum value to a threshold; and based on determining that the identified second cumulative sum value does not exceed the threshold, determine that a first fault ended at the first time.

Abstract: A controller for operating building equipment of a building. The controller includes one or more processors. The controller includes 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. The operations include comparing one or more model parameters of predictive models describing zones of the building to determine one or more zone groups for the building. The operations include generating one or more zone group models corresponding to the one or more zone groups. The operations include operating the building equipment using the one or more zone group models to affect a variable state or condition of the building.