Abstract: A method for controlling building equipment includes providing an occupancy prediction for a building using an occupancy prediction model that uses both historical values and forecast values of an environmental condition as inputs. The method also includes controlling the building equipment based on the occupancy prediction.

Abstract: A system located in a building. The system including a processing circuit configured to receive tags describing points of a piece of building equipment, the piece of building equipment connected to the system. The processing circuit configured to map the tags to classes of a schema of a graph data structure. The processing circuit configured to perform clustering to generate clusters of the points. The processing circuit configured to identify, based on the clusters, relationships in the schema of the graph data structure between the tags mapped to the classes of the schema of the graph data structure. The processing circuit configured to communicate data to a second system based at least in part on the tags mapped to the classes and the relationships.

Abstract: Sensorized commercial buildings are a rich target for building a new class of applications that improve operational and energy efficiency of building operations that take into account human activities. Such applications, however, rarely experience widespread adoption due to the lack of a common descriptive schema that would enable porting these applications and systems to different buildings. Our demo presents Brick [4], a uniform schema for representing metadata in buildings. Our schema defines a concrete ontology for sensors, subsystems and relationships among them, which enables portable applications. Using a web application, we will demonstrate real buildings that have been mapped to the Brick schema, and show application queries that extracts relevant metadata from these buildings. The attendees would be able to create example buildings and write their own queries.

Abstract: Several optical micro-electromechanical systems (OptoMEMS) are provided. One of the OptoMEMS comprises an OptoMEMS chip, and a photonic chip coupled to the OptoMEMS chip; wherein the OptoMEMS chip comprises a photonic cavity and a first platform on which the photonic cavity is fabricated, and the photonic chip comprises a waveguide and a second platform on which the waveguide is fabricated; wherein the photonic cavity comprises at least one dielectric beam, each of which further comprises at least one array of air holes; wherein the photonic cavity is at least partially made of a photonic crystal, and the lattice constant of the photonic crystal is reduced or increased gradually in a central region of the photonic cavity, allowing the light of a specific frequency to be trapped in the center region.

Abstract: A building system operates to execute the service based on data of a building to generate an inference or a prediction of a condition of a building, store the inference or the prediction, or a link to the inference or the prediction, in the one or more data storage elements of a knowledge graph, the knowledge graph including representations of entities of the building, relationships between the entities of the building, and one or more storage elements storing or linking the operational data, query the knowledge graph to retrieve the inference or the prediction from the knowledge graph, update, responsive to the query, a graphical model of the building including graphical representations of the entities to include the inference or the prediction, and cause a display device of a user device to display the updated graphical model.

Abstract: A method includes obtaining a fault prediction model for building equipment, predicting, with the fault prediction model, both (i) whether a fault will occur during a first prediction bin and (ii) whether a fault will occur during a second prediction bin, performing a first mitigating action for the building equipment if the fault is predicted to occur during the first prediction bin, and performing a second mitigating action for the building equipment if the fault is predicted to occur during the second prediction bin.

Abstract: A method includes training a conditional generator by operating a generative adversarial network that includes the conditional generator, generating, by the conditional generator, synthetic timeseries data corresponding to a plurality of fault types, wherein labels for the plurality of fault types are used as inputs to the conditional generator, training a fault prediction model using the synthetic timeseries data, and predicting a fault for building equipment by applying the fault prediction model to real timeseries data relating to the building equipment.

Abstract: A system includes a plurality of devices of building equipment, an additional device of building equipment, and a computing system. The computing system is configured to process data from the plurality of devices to extract common features of the plurality of devices, train a global model based on the common features, obtain additional data from the additional device, adapt the global model for the additional device based on the additional data to obtain an adapted model for the additional device, predict a status of the additional device using the adapted model, and affect an operation of the additional device based on the status.

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive an indication to execute an artificial intelligence (AI) agent, execute the AI agent based on the digital twin to generate an inference or a prediction, cause a graphical model of the building including graphical representations of the entities to include information based on the inference or the prediction, and cause a display device of a user device to display the graphical model.

Abstract: A building system can operate to receive an indication from a user device of a user to query a digital twin of one or more buildings, the digital twin including entities including buildings, equipment, spaces, or data of the one or more buildings, the equipment, or the spaces, the digital twin including relationships between the entities. The building system can operate to receive building data from the digital twin by querying the digital twin based on the indication received from the user device. The building system can operate to generate an analytics model based on the building data, wherein the analytics model is trained based on the building data and deploy the analytics model to operate based on data of the one or more buildings and generate one or more analytic results based on the data of the one or more buildings.

Abstract: A building system of a building operates to store a digital twin of the building in the one or more storage devices, wherein the digital twin further includes an artificial intelligence configured to generate a plurality of inference values of a data point for a plurality of future times, the data point related to the building by the interrelationship of the digital twin. The building system operates to generate a recommendation based on the plurality of inference values for the data point for the plurality of future times, the recommendation recommending making one or more updates to the building, and cause a graphic representation of the building to display an indication of the recommendation.

Abstract: A building system of a building operates to store a digital twin of the building in the one or more storage devices, wherein a virtual indicator is related to an entity of the building by the digital twin. The building system operates to receive telemetry data for a piece of building equipment of the building for the data point, generate the virtual indicator from the telemetry data, and cause a graphic representation of the building to display the virtual indicator within the graphic representation of the building.

Abstract: A building system of a building operates to receive historical data values of the plurality of data points for a plurality of historical times, execute an artificial intelligence to generate a plurality of inference values of a data point for a plurality of future times based on the historical data values, generate user interface data causing a user device to display a graphic representation of the building including a selectable element providing selections of the plurality of historical times and the plurality of future times, receive a selection from the user device via the selectable element of a future time of the plurality of future times, and cause the user device to display the graphic representation of the building with a plurality of states based on the future data values.

Abstract: A building system of a building operates to receive historical data values of the plurality of data points for a plurality of historical times, receive a selection of a proposed update to the building, the proposed update changing control of the building or physical characteristics of the building at a past time, a current time, or a future time, execute an artificial intelligence to generate a plurality of inference values of the plurality of data points for the plurality of historical times or a plurality of future times based on the historical data values and the proposed update, and generate user interface data causing a user device to display a graphic representation of the building with a plurality of states at the plurality of future times or the plurality of historical times.

Abstract: A building system of a building operates to receive historical data values of the plurality of data points for a plurality of historical times. The building system operates to execute an artificial intelligence to generate a plurality of different operating scenarios for operating equipment of the building for the plurality of historical times and simulate a plurality of values of data points of the building for the plurality of historical times based on the plurality of different operating scenarios and the historical data values. The building system operates to cause a user device to display a graphic representation of the building and a selectable element of a historical time of the plurality of historical times.

Abstract: A building system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to receive an indication to execute an artificial intelligence (AI) agent, execute the AI agent based on the digital twin to generate an inference or a prediction, cause a graphical model of the building including graphical representations of the entities to include information based on the inference or the prediction, and cause a display device of a user device to display the graphical model.

Abstract: A building system can operate to receive a requirement to implement an artificial intelligence (AI) service. The requirement can include an indication of a type of an entity, wherein the AI service is configured to generate an analytic for the entity of the type of the entity or a control setting for the entity of the type of the entity. The requirement can include a data element that the AI service is configured to operate on to generate the analytic or the control setting. The building system can operate to determine that the building system meets the requirement to implement the AI service responsive to a determination that a digital twin of the building system includes the entity of the entity type and the data element and implement the AI service responsive to a determination that the building system meets the requirement.

Abstract: The present disclosure provides a data transmission method, a terminal, and a network side device. The data transmission method includes: before an air interface signaling connection is established, sending a data message carrying state transition data to a network side device; receiving a response message returned by the network side device in response to the data message, a data transmission indication included in the response message; when the data transmission indication indicates transmitting, sending an uplink data packet to the network side device.

Abstract: A method for visualizing a building model comprises retrieving an identifier associated with a digital representation of a building asset from a digital representation representing at least a portion of a building, retrieving, using the identifier, a graphical representation of the asset from a building model having a different format than the digital representation, and rendering the graphical representation on a display device.

Abstract: A method for commissioning a building comprises identifying a building asset within a digital representation of a building having one or more parameters describing relationships of the building asset within the building, controlling one or more other building assets included within the digital representation to change an environmental parameter of the building, monitoring a response of at least one of the building asset or one of the one or more other building assets to the change in the environmental parameter, generating a parameter for the digital representation associated with the building asset based on the monitoring, and updating the digital representation using the parameter.