Abstract: A building system of a building operates to select an instance of one or more entities of one or more particular entity types from a digital twin of the building for creating a policy function, the digital twin including representations of entities of the building and relationships between the entities of the building. The building system operates to perform an optimization that selects one or more inputs of inputs associated with the one or more entities for input to the policy function, selects one or more actions of actions associated with the one or more entities that are outputs of the policy function, and identifies one or more parameters for the policy function. The building system operates to deploy the policy function for the one or more entities by causing the digital twin to include the policy function.

Abstract: A building system of a building operates to receive an indication to generate a digital twin and identify one or more lower level digital twins that depend from the digital twin based on a hierarchy of digital twins, wherein the digital twin includes one or more first operational capabilities and the one or more lower level digital twins include one or more second operational capabilities. The building system operates to cause the digital twin to inherit the one or more second operational capabilities from the one or more lower level digital twins and execute the digital twin causing the one or more first operational capabilities and the one or more second operational capabilities to be performed.

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 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 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 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 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 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 of a digital twin, the digital twin including the AI agent and a graph data structure, the graph data structure including nodes representing entities of a building and edges between the nodes representing relationships between the entities of the building. The instructions cause the one or more processors to execute the AI agent based on data of the building to generate an inference that is a prediction of a future data value of a data point of the building for a future time and store at least one of the inference, or a link to the inference, in the graph data structure.

Abstract: Systems and methods of managing a building are disclosed. In some embodiments, a method includes receiving, by a processing circuit, an indication to execute a digital twin, the digital twin including one or more fault detection or diagnostics functions and a virtual representation of a piece of equipment, the virtual representation including one or more entities of a building and relationships between the entities of the building, executing the digital twin based on the virtual representation of the piece of building equipment to generate an indication of a fault or a diagnosis of the fault for the one or more pieces of building equipment, and storing an indication of the fault or a diagnosis of the fault, or a link to the fault or the diagnosis of the fault, in the virtual representation of the piece of equipment.

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: 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 store a data structure of a digital twin of an entity of a building, the data structure storing information associated with at least one of the entity or entities of the building and determine that a trigger rule of the digital twin is triggered by comparing at least some of the information of the data structure against one or more conditions of the trigger rule. The instructions cause the one or more processors to determine an action of an action rule of the digital twin responsive to determining that the trigger rule is triggered by executing the action rule and cause one or more devices to operate based on the action determined by the action rule.

Abstract: Disclosed herein is an object detection system, including apparatuses and methods for object detection. An implementation may include receiving a first image frame from an ROI detection model that generated a first ROI boundary around a first object detected in the first image frame and subsequently receiving a second image frame. The implementation further includes predicting, using an ROI tracking model, that the first ROI boundary will be present in the second image frame and then detecting whether the first ROI boundary is in fact present in the second image frame. The implementation includes determining that the second image frame should be added to a training dataset for the ROI detection model when detecting that the ROI detection model did not generate the first ROI boundary in the second image frame as predicted and re-training the ROI detection model using the training dataset.

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: The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives a request to generate a rule for coordinating operation of a plurality of IoT elements. The computing device determines whether the request satisfies restrictions as described in descriptions of interface components of the plurality of IoT elements in the computing device by referencing descriptions of interface components. The interface components correspond to the plurality of IoT elements. The computing device generates the rule responsive to determining that the request satisfies the restrictions, and sends an action signal over the network based on the rule to operate one or more of the plurality of IoT elements.

Abstract: The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives a request to generate a rule for coordinating operation of a plurality of IoT elements. The computing device determines whether the request satisfies restrictions as described in descriptions of interface components of the plurality of IoT elements in the computing device by referencing descriptions of interface components. The interface components correspond to the plurality of IoT elements. The computing device generates the rule responsive to determining that the request satisfies the restrictions, and sends an action signal over the network based on the rule to operate one or more of the plurality of IoT elements.

Abstract: The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives an interface component corresponding to an IoT element. The computing device retrieves a description of the interface component at least describing a set of restrictions of an operation of the IoT element. The computing device deploys the interface component in the computing device to at least translate events and commands specific to the IoT element to common events and commands for processing in the computing device. The computing device sends at least a subset of the description of the interface component to a user device to cause the user device to generate a user interface for configuring the operation of the IoT element.

Abstract: The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives a request to generate a rule for coordinating operation of a plurality of IoT elements. The computing device determines whether the request satisfies restrictions as described in descriptions of interface components of the plurality of IoT elements in the computing device by referencing descriptions of interface components. The interface components correspond to the plurality of IoT elements. The computing device generates the rule responsive to determining that the request satisfies the restrictions, and sends an action signal over the network based on the rule to operate one or more of the plurality of IoT elements.