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 system comprising one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising receiving a request for a rating for a device of building equipment, the request for the rating including a plurality of attributes characterizing the device of building equipment including at least a first device characteristic, selecting, from a plurality of rating engines, a first rating engine for use in generating the rating based on the plurality of attributes characterizing the device of building equipment, communicating the first device characteristic to the first rating engine, receiving a first rating for the device of building equipment from the first rating engine, and using the first rating to at least one of generate a predictive model for the device of building equipment or control the device of building equipment.

Abstract: The present disclosure relates to a building management system (BMS) configured to communicate with a target system comprising a plurality of target devices to identify information pertaining to parameters of the plurality of target devices, analyze the information based on data feeds to identify a threat associated with at least one of the parameters, perform at least one test operation on the information to obtain test data, determine at least one of network traffic of at least one of the plurality of target devices, one or more firmware components of at least one of the plurality of target devices, or a configuration deployed on at least one of the plurality of target devices and determine a system cyber health score of the target system based on device cyber health scores for the plurality of target devices, wherein the system cyber health score is based on the least one of the test data, network traffic, threat, firmware components, or configuration.

Abstract: A building system of a building, the building system including an embedded computer, the embedded computer including one or more circuits configured to implement a universal serial bus (USB) host and communicate with peripheral USB building devices via the USB host, receive building data from at least one of the peripheral USB building devices, generate one or more control decisions for one or more of the peripheral USB building devices, and communicate the one or more control decisions to the one or more of the peripheral USB building devices via USB connection. The building system includes the peripheral USB building devices, wherein each of the peripheral USB building devices are connected to the USB host via at least one of a direct USB connection to the embedded computer or an indirect USB connection through another one of the peripheral USB building devices.

Abstract: A video camera system includes a video capture device and a camera controller. The video capture device includes a sensor that receives light, a shutter that selectively permits the light to be received at the sensor based on a shutter speed, and a frame processor that generates a plurality of video frames based on the light. The camera controller includes a frame parameter calculator that calculates a luminance parameter of the plurality of frames, a frequency domain analyzer that executes a frequency domain analysis based on the luminance parameter to generate a plurality of luminance amplitude values mapped to a plurality of frequencies, and a control signal generator that generates a target shutter speed based on the plurality of luminance amplitude values mapped to the plurality of frequencies, and transmits a control signal based on the target shutter speed to cause the shutter to operate at the target shutter speed.

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 electric motor speed controller includes a processor connected to the following terminals, a base voltage terminal receiving a base voltage, a first voltage terminal provided with a constant voltage, and a second voltage terminal receiving a first motor coil voltage from the processor, and a third voltage terminal receiving a second motor coil voltage from the processor. The processor provides a first control period having the second motor coil voltage be zero and a second control period having the first motor coil voltage be zero. The processor determines the motor speed by controlling a difference between a first time period in the first control period and a second time period in the second control period. The first time period corresponds to a first output voltage increase and the second time period corresponds to a second output voltage increase.

Abstract: An equipment monitoring system includes an unmanned vehicle, an alarm circuit remote from the unmanned vehicle, and a vehicle control circuit remote from the unmanned vehicle. The unmanned vehicle can include a communications circuit and a flight controller. The alarm circuit detects a failure condition of a building component and outputs an indication of the failure condition. The vehicle control circuit receives the indication of the failure condition from the alarm circuit; generates, based on the indication of the failure condition, an equipment verification signal that includes an identifier of the building component, a position of the building component, and a test of the building component to be executed; and transmits the equipment verification signal to the flight controller of the unmanned vehicle via the communications circuit of the unmanned vehicle to cause the unmanned vehicle to execute the test of the building component.

Abstract: A method of controlling a direct evaporative cooling unit includes predicting water consumption and energy consumption of the direct evaporative cooling unit based on possible supply air temperatures of the direct evaporative cooling unit, selecting a target supply air temperature based on an optimization of an objective function, the objective function comprising the water consumption and energy consumption, and controlling the direct evaporative cooling unit in accordance with the target supply air temperature.

Abstract: A building management system for monitoring and controlling HVAC parameters in a building includes one or more processing circuits configured to initialize a predictive model for predicting temperature, pressure, and humidity within a target area and an adjacent area of the building, receive target area data from a target area sensor array configured to measure temperature, pressure, and humidity of the target area, receive adjacent area data from an adjacent area sensor array configured to measure temperature, pressure, and humidity of the adjacent area, execute the predictive model based on the target area data and the adjacent area data to generate a prediction of future temperature, pressure, and humidity within the target area, and control operation of HVAC equipment to maintain the temperature, pressure, and humidity of the target area within a compliance standard.

Abstract: Systems and methods for detecting and correcting faults in direct evaporative cooling units are provided. In an exemplary embodiment, direct evaporative cooling affects a humidity and a temperature of the data center. An exemplary method includes generating expected values for the humidity of the data center and expected values for the temperature of the data center using a model. A fault condition is determined in response to the actual values for the humidity deviating from the expected values for the humidity while actual values for the temperature track the expected values for the temperature, or in response to the actual values for the temperature deviating from the expected values for the temperature while actual values for the humidity track the expected values for the humidity.

Abstract: A building system for training a prediction model with augmented training data. The building system comprising 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 obtain a first training data set comprising data values associated with a data point of the building system and with a plurality of time-steps and energy values associated with consumption of the building system at each of the plurality of time-steps; generate an augmented training data set comprising a second training data set, the second training data set comprising the energy values and the data values of the first training data set but with a data value replaced with a predetermined value at a time-step of the plurality of time-steps; and generate a prediction model by training the prediction model.

Abstract: A building system includes one or more memory devices comprising instructions thereon that, when executed by one or more processors, cause the one or more processors to perform one or more first operations based on a digital twin of a building. The instructions cause the one or more processors to update a schema of the digital twin by adding a property or tag to an entity class of the schema, add, based on the schema, one or more data elements representing the property or tag to the digital twin, the one or more data elements related to an entity of the entity class, and perform one or more second operations based on the one or more data elements representing the property or tag.

Abstract: Systems and methods for creating and using equipment definitions are provided. An archetypal device used to identify one or more first data points associated with the archetypal device. A point definition is generated for each identified first data point associated with the archetypal device. Each point definition includes an abstraction of a text string extracted from the corresponding first data point that is applicable to multiple different devices of the same type of building equipment. The generated point definitions are used to create an equipment definition for a type of building equipment. The equipment definition can be used to identify first data points associated with other devices of the same type of building equipment and to automatically create equipment objects representing such devices.

Abstract: A heating, ventilation, or air conditioning (HVAC) system for a building includes HVAC equipment configured to provide heating or cooling to one or more building spaces and one or more controllers. The one or more controllers include one or more processing circuits configured to generate energy targets for the one or more building spaces using a thermal capacitance of the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, generate setpoints for the HVAC equipment using the energy targets for the one or more building spaces to which the heating or cooling is provided by the HVAC equipment, and operate the HVAC equipment using the setpoints to provide the heating or cooling to the one or more building spaces.

Abstract: A predictive controller for a building energy system includes one or more processing circuits configured to obtain a constraint that defines a total electric load to be served by the building energy system at each time step of a time period as a summation of multiple source-specific energy components. The source-specific energy components include a first energy component indicating a first amount of energy to obtain from a first energy source during the time step and a second energy component indicating a second amount of energy to obtain from a second energy source during the time step. The one or more processing circuits are configured to perform a predictive control process subject to the constraint to determine values of the source-specific energy components at each time step of the time period and operate equipment of the building energy system using the values of the source-specific energy components.

Abstract: A system to replicate user interaction with a building management system (BMS), the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive first BMS data describing a BMS event having a first category, receive second BMS data describing a user response to the BMS event, generate a model, based on the first and second BMS data, describing response patterns associated with the user response, wherein the response patterns include actions to replicate the user response, and generate, in response to receiving third BMS data having the first category, one or more control signals based the actions in the model to control the BMS to replicate the user response.

Abstract: A heating, ventilation, and/or air conditioning (HVAC) unit includes an air flow amplifier coupled to a fan deck of the HVAC unit. The air flow amplifier includes a ring having an annular cavity and an air flow inlet formed in the ring. The air flow inlet is configured to direct an air flow into the annular cavity. The air flow amplifier also includes a first annular air flow outlet formed in the ring and configured to direct a first portion of the air flow out of the annular cavity and along an inner diameter of the ring. The air flow amplifier further includes a second annular air flow outlet formed in the ring and configured to direct a second portion of the air flow out of the annular cavity and along the inner diameter of the ring.

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: In an aspect, an HVAC system includes an inducer motor to provide combustion airflow, and a pressure sensor to measure an output airflow pressure of the inducer motor. The HVAC system may initiate the inducer motor, and receive a pulse width modulation (PWM) signal from the inducer motor, wherein the PWM signal indicates a PWM signal of the inducer motor corresponding to a predetermined airflow pressure of the inducer motor and measured by the pressure sensor. The HVAC system may compare the PWM signal to a baseline value, and control the inducer motor based on the comparing of the PWM signal to the baseline value. The HVAC system may also generate a status notification of the combustion airflow of the HVAC system in response to the comparing the PWM signal to the baseline value.