Abstract: An environmental control system for a building is shown. The system includes a control device operable affect a static pressure in a conduit, a building device operable to affect a flow rate of a fluid through the conduit, and a controller including a processing circuit configured to perform a volumetric control process to generate a control signal for the drive device. The processing circuit is further configured to receive an operating position signal of the control device. The processing circuit is further configured to determine an estimated static pressure level within the duct using the operating position signal of the control device and update the control signal based on the estimated static pressure level determined using the operating position. The processing circuit is further configured to operate the drive device based on the updated control signal to affect the flow rate of the fluid.

Abstract: Systems and methods for training a reinforcement learning (RL) model for HVAC control are disclosed herein. Simulated experience data for the HVAC system is generated or received. The simulated experience data is used to initially train the RL model for HVAC control. The HVAC system operates within a building using the RL model and generates real experience data. A determination may be made to retrain the RL model. The real experience data is used to retrain the RL model. In some embodiments, both the simulated and real experience data are used to retrain the RL model. Experience data may be sampled according to various sampling functions. The RL model may be retrained multiple times over time. The RL model may be retrained less frequently over time as more real experience data is used to train the RL model.

Abstract: Apparatus and methods for integrating autonomous devices with an Access Control System (ACS) includes assigning, by the ACS, one or more security credentials to an autonomous device. The ACS receives an access request from an autonomous device. The access request includes one or more security credentials identifying the autonomous device to the system. The ACS performs validation of the received access request by comparing the received one or more security credentials with the one or more security credentials assigned to the autonomous device. The ACS grants access to one or more resources in a building to the autonomous device, in response to successful validation of the received access request.

Abstract: A control system for cost optimal operation of an energy facility including equipment includes a controller configured to provide a cost function comprising a cost term defining a cost as a function of a rate variable and an equipment usage variable, simulate the cost of operating the energy facility over an optimization period at each of a plurality of different values of the rate variable which define a plurality of different costs per unit of the equipment usage variable, select a value of the rate variable that results in a lowest cost of operating the energy facility over the optimization period, perform an online optimization of the cost function with the rate variable set to the selected value to generate one or more setpoints for the equipment, and operate the equipment during the optimization period in accordance with the generated setpoints.

Abstract: A method for troubleshooting a building automation system includes selecting an artificial intelligence tool from a set of available artificial intelligence tools based on the geographic region of the building automation system, ranking troubleshooting options for the building automation system by applying the artificial intelligence tool to data associated with the building automation system, and implementing at least a first troubleshooting option, the first troubleshooting option ranked higher than a remainder of the troubleshooting options by the artificial intelligence tool.

Abstract: A critical environment monitoring system including a sensor array structured to provide sensor data indicative of temperature, pressure, and humidity in an interior space, and one or more processing circuits comprising one or more memory devices coupled to one or more processors that provides a graphical user interface displaying a compliance standard temperature received from a standard setting body and a temperature value, a compliance standard pressure received from the standard setting body and a pressure value, and a compliance standard humidity received from the standard setting body and a humidity value. The processing circuit also generates an alert in response to one of the temperature value being outside the compliance standard temperature, the pressure value being outside the compliance standard pressure, or the humidity value being outside the compliance standard humidity, records criticality information, and receives a log of actions taken.

Abstract: A heating, ventilation, and/or air conditioning (HVAC) system, includes a housing having a wall with an exterior surface configured to be exposed to an ambient environment. The HVAC system further includes a first heat exchanger disposed within the housing and forming part of a refrigerant circuit of the HVAC system and a second heat exchanger disposed within the housing and forming part of the refrigerant circuit, in which the second heat exchanger includes a coil coupled to the wall, such that the coil and the wall are configured to transfer heat between the ambient environment and refrigerant passing through the second heat exchanger.

Abstract: A model predictive maintenance system for building equipment. The system includes one or more processing circuits including one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include performing an optimization of an objective function that defines a present value of a total cost of operating the building equipment and performing maintenance on the building equipment as a function of operating decisions and maintenance decisions for the building equipment for time steps within a time period. The total cost includes one or more costs incurred during one or more future time steps of the time period. The operations include operating the building equipment and performing maintenance on the building equipment in accordance with decisions defined by the result of the optimization.

Abstract: A system for assessing relative performance among a plurality of heating, ventilation, or air condition (HVAC) assets, the system comprising a processing circuit configured to identify a peer group comprising two or more of the plurality of HVAC assets having a common characteristic, generate values of a peer metric for the HVAC assets in the peer group based on corresponding operation data associated with the HVAC assets, perform a weighted outlier detection process using the values of the peer metric, and initiate an automated action in response to detecting an outlier HVAC asset.

Abstract: An access control apparatus includes a sensor and an authentication circuit coupled to the sensor. The sensor detects eye movement of a user. The authentication circuit stores predetermined access code data corresponding to the user. The authentication circuit compares the detected eye movement of the user to the predetermined access code data. Based on the comparison indicating that the detected eye movement matches the predetermined access code data, the authentication circuit permits access beyond an access control point.

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: 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: 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 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, 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 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: 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 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.