Abstract: A system for a building management system simulation includes one or more processors and memory. The memory includes instructions stored thereon, that when executed by the one or more processors, cause the one or more processors to generate a space agent representing a space in a building, the space agent to maintain an environmental condition of the space based on an optimization state of the space, generate an equipment agent representing a device that serves the space, and register the space agent and the equipment agent to a space communication channel associated with the space. The space agent communicates with the equipment agent over the space communication channel.

Abstract: A building system including one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to generate building recommendations based on recommendation requests with a model of a first model type when less than a predefined amount of model training data is available and receive feedback data on the recommendation requests generated by the model of the first model type. The instructions cause the one or more processors to transition from generating the building recommendations by the model of the first model type to a second model of a second model type by comparing performance of the first model type to the second model type based on the feedback data.

Abstract: A vibration analysis system for predicting performance of a building system includes one or more memory devices configured to store instructions that, when executed on one or more processor, cause the one or more processors to receive vibration data from the building equipment, generate a performance prediction for the building equipment, generate a performance explanation for the performance prediction, and cause a user interface to display the performance prediction and the performance explanation.

Abstract: A method performed by a Building Management System (BMS) includes receiving a vibration dataset associated with a machine controlled by the BMS. The vibration dataset includes machine metadata, machine operating conditions, and one or more time waveforms. The method further includes assembling a feature vector comprising one or more features of the vibration dataset for input to a machine learning model. The machine learning model is associated with a component of the machine. The method further includes applying the feature vector to the machine learning model in order to generate a condition score for the component. The method further includes scheduling a maintenance event for the machine or changing a setpoint associated with the machine depending on the condition score.

Abstract: A building management system including building equipment operable to affect a variable state or condition of a building. The building management system includes a controller including a processing circuit. The processing circuit is configured to obtain a vibration data set related to vibrations of the building equipment. The processing circuit is configured to analyze the vibration data set by one or more machine learning models to generate a set of probabilities. The set of probabilities is related to a probability that the vibration data set is abnormal. The processing circuit is configured to identify the vibration data set as normal or abnormal based on the set of probabilities. The processing circuit is configured to initiate a corrective action responsive to identifying the vibration data set as abnormal.

Abstract: One embodiment of the present disclosure is a system for predicting performance of building equipment. The system comprises one or more sensors in communication with the building equipment, and the sensors are operable to detect characteristics from the building equipment. The system further comprises a computing device in communication with the sensors and in the same geographic location as the sensors. The computing device comprises one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive data from the sensors, the data based on the detected characteristics. The one or more processors also generate, based on a machine learning model and the data, a predicted performance of the building equipment when the machine learning model comprises a prior data substantially similar to the data.

Abstract: A vibration analysis system for predicting performance of a building system includes one or more memory devices configured to store instructions that, when executed on one or more processor, cause the one or more processors to receive vibration data from the building equipment, generate a performance prediction for the building equipment, generate a performance explanation for the performance prediction, and cause a user interface to display the performance prediction and the performance explanation.

Abstract: A method, including implementing a software agent to traverse a graph data structure to extract financial information associated with operation of a space, retrieving, by further traversing the graph data structure using the software agent, context information associated with the space, the context information including time spent by employees in the space, generating, using the software agent, a metric associated with the employees of the space, wherein the metric includes a representation of efficiency based on the financial information and the context information, comparing, by the software agent, the metric to historical information, and transmitting a report to a computing device, wherein the report is based on the comparison.

Abstract: One or more non-transitory computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive a request to hold a meeting in a building, retrieve user preferences associated with an attendee of the meeting, dynamically determine meeting parameters associated with the meeting based on the request and the user preferences, identify one or more meeting parameters that deviate from the request or the user preferences, and transmit a notification indicating the identified one or more meeting parameters.

Abstract: One or more non-transitory computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to detect an individual who enters into a lobby of a building, retrieve context information corresponding to the individual, update a user profile of the individual to indicate the individual has arrived at the building, and control one or more access control devices to grant the individual access to the building based on the context information.

Abstract: A chiller fault prediction system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to receive chiller data for a plurality of chillers, the chiller data indicating performance of the plurality of chillers. The one or more processors are configured to generate, based on the received chiller data, a plurality of single chiller prediction models and a plurality of cluster chiller prediction models, the plurality of single chiller prediction models generated for each the plurality of chillers and the plurality of cluster chiller prediction models generated for chiller clusters of the plurality of chillers.

Abstract: A building management system includes one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a publication by an agent on an agent communication channel, the publication comprising timeseries data, identify, based on the publication, an object entity of an entity database associated with the agent, wherein the entity database includes one or more object entities and relationships between the one or more object entities and one or more data entities, identify a data entity related to the object entity based on a relationship of the relationships relating the object entity and the data entity, and ingest the timeseries data into the data entity.

Abstract: A building management system of a building includes one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to generate agents, each agent of the agents paired with one entity of a plurality of entities of an entity database, wherein the entity database includes relationships between the entities, wherein the entities represent physical building entities of the building comprising building equipment or building spaces. The instructions cause the one or more processors to communicate, by the plurality of agents, data of the physical building entities via a plurality of agent communication channels and perform, by the plurality of agents, one or more operations for the plurality of entities based on the data.

Abstract: A method performed by a Building Management System (BMS) includes receiving a vibration dataset associated with a machine controlled by the BMS. The vibration dataset includes machine metadata, machine operating conditions, and one or more time waveforms. The method further includes assembling a feature vector comprising one or more features of the vibration dataset for input to a machine learning model. The machine learning model is associated with a component of the machine. The method further includes applying the feature vector to the machine learning model in order to generate a condition score for the component. The method further includes scheduling a maintenance event for the machine or changing a setpoint associated with the machine depending on the condition score.

Abstract: A system for a building management system simulation includes one or more processors and memory. The memory includes instructions stored thereon, that when executed by the one or more processors, cause the one or more processors to generate a space agent representing a space in a building, the space agent to maintain an environmental condition of the space based on an optimization state of the space, generate an equipment agent representing a device that serves the space, and register the space agent and the equipment agent to a space communication channel associated with the space. The space agent communicates with the equipment agent over the space communication channel.