A method of controlling a building system is provided. The method comprising: receiving an action request to adjust a building device from a user device; obtaining a token from a previous action request from the user device to adjust the building device when a token exists from a previous action request; transmitting the token for validation within the building device; and adjusting the building device when the token has been validated.

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.

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.

A method for classifying activity based on multi-sensor input includes receiving, from two or more sensors, sensor data indicating activity within a building, determining, for each of the two or more sensors and based on the received sensor data, (i) an extracted feature vector for activity within the building and (ii) location data, labelling each of the extracted feature vectors with the location data, generating, using the extracted feature vectors, an integrated feature vector, detecting a particular activity based on the integrated feature vector, and in response to detecting the particular activity, performing a monitoring action.

A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

Systems and methods for providing on-premises response to an incident impacting a space of a building are provided. One method includes storing digital twins of one or more on-premises building devices of the building in a memory device within the space. The digital twins include digital representations of the on-premises building devices including data relating to the on-premises building devices. The method further includes receiving, by one or more processors within the space, data relating to the incident impacting the space, processing the data using the digital twins stored in the memory device within the space to determine a response to the incident, and executing an action to implement the response to the incident.

Disclosed herein are methods, systems, and devices for reducing user effort for sensor provisioning. In one embodiment, a system includes one or more processors and one or more memories including program instructions. The program instructions when executed are configured for receiving and storing initial sensor provisioning instructions from a graphical user interface (GUI) and provisioning a first plurality of sensors using the initial sensor provisioning instructions.

A building management system includes a communications bus, subordinate devices connected to the communications bus, and a controller connected to the communications bus. The controller includes an active node table including a plurality of nodes, each node representing one of the subordinate devices connected to the communications bus. The controller is configured to monitor the active node table for a newly connected subordinate device, use a set of rules to determine whether the newly connected subordinate device is supported by the controller for performing an identified function in combination with the controller, and, in response to a determination that the newly connected subordinate device is supported, extend the identified function of the controller to the newly connected subordinate device. Extending the identified function includes enabling the newly connected subordinate device to perform the identified function.

Systems and methods for training a surrogate model for predicting system states for a building management system based on generated data from a simulation model are disclosed herein. The simulation model is calibrated for a building of interest. The building of interest includes building equipment operable to control a variable state of the building. The simulated data of system states are generated using the calibrated simulation model. A surrogate model is trained based on the simulated data of system states from the calibrated simulation model. System state predictions are generated using the surrogate model. The surrogate model is re-trained based on updated operational data. An updated series of system state predictions is generated using the re-trained surrogate model.

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 ingest external information from an external computing system via at least one of an external access application programming interface (API) component or a software development kit (SDK) component, cross-correlate a first identifier associated with the external information with one or more second identifiers associated with one or more virtual assets of a graphical model of a building to determine a location of a virtual asset associated with the external information within the graphical model, cause the graphical model of the building to include a representation of the external information associated with the virtual asset, and cause a display device of a user device to display the graphical model.