Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin

Abstract: A model predictive maintenance (MPM) system for building equipment includes an operational cost predictor configured to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor configured to predict a cost of performing maintenance on the building equipment over the duration of the optimization period, and an objective function optimizer configured to optimize an objective function to predict a total cost associated with the building equipment over the duration of the optimization period. The objective function includes the predicted cost of operating the building equipment and the predicted cost of performing maintenance on the building equipment. The MPM system includes an equipment controller configured to operate the building equipment to affect a variable state or condition in a building in accordance with values of one or more decision variables obtained by optimizing the objective function.

Abstract: A method for zone-based control of devices within a building management system (BMS) includes receiving a request to control a zone in a building. The method includes identifying a plurality of available zones in the building. The method includes receiving a selection to control a first zone from the plurality of available zones. In response to the selection, the method includes generating a password to restrict control of at least one device in the first zone. The method includes transmitting the password to the user device. The method includes receiving, via the input interface of the zone device different from the user device, the password. The method includes authorizing, responsive to receipt of the password via the input interface of the zone device, control of the at least one device in the first zone.

Abstract: A method for controlling a variable refrigerant flow (VRF) system includes applying a time window to sensor data associated with the VRF system, the sensor data including input data points and having a first resolution, wherein applying the time window to the sensor data isolates a subset of the input data points; applying a timing weight to one or more input data points in the subset of the input data points to generate corrected data points having a second resolution higher than the first resolution; creating a virtual sensor and mapping the corrected data points to an output of the virtual sensor; and controlling the VRF system based on an output of the virtual sensor. The use of virtual sensors with a higher resolution than corresponding physical sensors in this manner allows for existing physical sensors to be used while improving performance of the VRF system.

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 controlling a flow rate of a fluid through a valve is provided. The system includes a valve and an actuator. An actuator drive device is driven by an actuator motor and is coupled to the valve for driving the valve between multiple positions. The system further includes a flow rate sensor configured to measure the flow rate of the fluid through the valve and a controller that is communicably coupled with the flow rate sensor. The controller is configured to receive a flow rate measurement from the flow rate sensor, adjust a control deadband based on an actuator command history, and determine a compensated position setpoint using the flow rate measurement, the adjusted control deadband, and a proportional variable deadband control technique. The controller is further configured to operate the motor to drive the drive device to the compensated actuator position setpoint.

Abstract: A smart circuit breaker is configured for installation within a panel assembly. The smart circuit breaker includes a breaker device positioned between a power source and a subcircuit, the breaker device having a moveable contactor configured to change from an open state to a closed state, wherein in the closed state power flows from the power source to the subcircuit via a power line, and wherein in the open state power does not flow from the power source to the subcircuit. The smart circuit breaker further includes a power meter configured to measure a power characteristic of the subcircuit. The smart circuit breaker further includes a processing circuit configured to receive a power characteristic measurement from the power meter, the processing circuit having a communications interface configured to communicate power consumption data to an external device, the power consumption data based on the power characteristic.

Abstract: A heat exchanger system that includes a heat exchanger that includes a plurality of circuits wherein the heat exchanger is configured to exchange heat between a refrigerant and a working fluid. The heat exchanger system also includes a valve configured to fluidly couple a circuit of the plurality of circuits to a flow path of the refrigerant. Further, the heat exchanger system includes a controller that is configured to receive feedback indicative of an operating parameter of the heat exchanger system and actuate the valve based on the operating parameter.

Abstract: A building system including one or more memory devices configured to store instructions thereon, the instructions causing one or more processors to generate a space graph based on building data, wherein the space graph is a graph data structure comprising nodes representing entities, edges between the nodes representing relationships between the entities, receive new building data from one or more building data sources, generate, based on the new building data, a new relationship between a first entity of the entities and a second entity of the entities, and update the space graph with the new relationship by causing the space graph to store a new edge between a first node of the nodes representing the first entity and a second node of the nodes representing the second entity.

Abstract: An energy optimization system for participating in a capacity market program (CMP) includes one or more memory devices storing instructions, that, when executed on one or more processors, cause the one or more processors to receive a nominated capacity value, generate an objective function and one or more CMP constraints, wherein the one or more CMP constraints cause an optimization of the objective function with the CMP constraints to generate a resource allocation that reduces the load of the facility by the nominated capacity value in response to receiving the dispatch from the utility, receive the dispatch from the utility, optimize the objective function based on the nominated capacity value, the dispatch, and the one or more CMP constraints to determine the resource allocation, and control one or more pieces of building equipment based on the determined resource allocation.

Abstract: A building HVAC system includes an airside system having a plurality of airside subsystems, a high-level model predictive controller (MPC), and a plurality of low-level airside MPCs. Each airside subsystem includes airside HVAC equipment configured to provide heating or cooling to the airside subsystem. The high-level MPC is configured to perform a high-level optimization to generate an optimal airside subsystem load profile for each airside subsystem. The optimal airside subsystem load profiles optimize energy cost. Each of the low-level airside MPCs corresponds to one of the airside subsystems and is configured to perform a low-level optimization to generate optimal airside temperature setpoints for the corresponding airside subsystem using the optimal airside subsystem load profile for the corresponding airside subsystem.

Abstract: A risk management system includes one or more computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform natural language processing to categorize threats to assets and perform correlated risk analyses for threats. The instructions cause the one or more processors generate risk scores for assets using threat data and one or more asset risk profiles reflecting characteristics of the assets, the risk scores weighted based on impact weights of threats. Furthermore, the instructions cause one or more processors to generate a plurality of graphic user interfaces including one or more of a map providing visual representations of the assets, locations of the assets, asset risk scores, and threats to assets, a forecast of asset risk scores, an asset summary, an asset risk profile editor, and a consolidated view of rank ordered assets and threats.

Abstract: A building automation system (BAS) with automatic metadata tagging management. The BAS comprises a system library and a computing system. The system library comprising a plurality of relationships between a plurality of tags and a plurality of entities. The computing system is communicatively coupled to the system library. The computing system is configured to manage entities within a station. The managing entities either corresponds to selective de-linking of one or more tags corresponding to one or more tagged entities, or tagging one or more entities by determining a tagging mechanism for adding one or more tags to one or more entities, or both. Further, the present disclosure envisaged a method for managing de-linking of one or more tags of tagged entities in the building automation system (BAS) and a method for managing tagging of entities in the building automation system (BAS).

Abstract: Disclosed herein are related to a system, a method, and a non-transitory computer readable storing instructions for operating an energy plant comprised of heating, ventilation and air conditioning (HVAC) devices. In one aspect, the system generates gradient data indicating a gradient of operating performance of the energy plant with respect to values of a plurality of control variables of HVAC devices. The system determines, from the plurality of control variables, a reduced group of control variables of the HVAC devices based on the gradient data. The system determines a set of values of the reduced group of control variables. The system operates the energy plant according to the determined set of values of the reduced group of control variables.

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 manage a plurality of entitlements for a plurality of subscriptions of one or more buildings with a building entitlement model, receive a first request to perform a first operation for a first subscription and a second request to perform a second operation for a second subscription, and implement the first operation on first computing resources of a first zone based on the building entitlement model in response to a first determination that the first subscription has the first entitlement and implement the second operation on second computing resources of the second zone based on the building entitlement model in response to a second determination that the second subscription has the second entitlement.

Abstract: An adaptive flow limit controller for controlling a flow rate of a fluid through a heat exchanger includes a processing circuit. The processing circuit is configured to use an adaptive model to determine a threshold flow rate of the fluid through the heat exchanger at which a gradient of a temperature difference of the fluid across the heat exchanger with respect to the flow rate of the fluid through the heat exchanger has a threshold gradient value. The processing circuit is configured to operate a flow control device to maintain the flow rate of the fluid of through the heat exchanger at less than or equal to the threshold flow rate.

Abstract: A controller for an economizer that provides outdoor air to a conditioned space. The controller includes an error calculator configured determine an indoor air quality (IAQ) setpoint error based on an actual IAQ and an IAQ setpoint, an outdoor air flow (OAF) setpoint adjuster configured to determine an adjusted OAF setpoint based on at least one of the IAQ setpoint error, an initial OAF setpoint, and an OAF setpoint upper limit, and a proportional variable deadband controller (PVDC) configured to adjust an operational deadband of the economizer and adjust an operation of at least one of an actuator and a damper of the economizer to achieve the adjusted OAF based on at least one of an actual OAF and the adjusted OAF setpoint. Achieving the adjusted OAF drives the actual IAQ to the IAQ setpoint.

Abstract: An extremum seeking controller includes a processing circuit configured to modulate a manipulated variable provided as an input to a plant using an extremum-seeking control technique to drive a gradient of an objective function with respect to the manipulated variable toward an extremum. The objective function includes a performance variable characterizing a performance of the plant responsive to the manipulated variable. The objective function also includes a saturation adjustment term that becomes active as the plant approaches a saturation point and remains active as the plant operates within a saturated region past the saturation point. The saturation adjustment term causes the processing circuit to adjust the manipulated variable toward a value of the manipulated variable that returns the plant from the saturated region to a non-saturated region.

Abstract: A building management enterprise system includes a display device, one or more processors, and one or more computer-readable storage media communicably coupled to the one or more processors and having instructions stored thereon that cause the one or more processors to: identify one or more factors for evaluating economic effectiveness of an enterprise having a plurality of physical nodes; receive data associated with each of the factors from a plurality of data sources for each of the nodes, the plurality of data sources including at least one sensor located in each of the nodes; determine a benchmark value for each of the factors; compare the data received from the plurality of data sources with the benchmark value for each of the factors; calculate an effectiveness score for each of the factors based on the compare; and control the display device to display performance indicators associated with the effectiveness scores.