Methods and apparatus for an exhaust demand control system for measuring one or more contaminants at one or more exhaust locations within one or a plurality of exhaust ducts or plenums served by an exhaust fan system. Example systems and methods can include sensing the one or more contaminants within the one or more exhaust duct locations using a multipoint air sampling system having one or more sensors and comparing contaminant concentration measurements from the one or more of said exhaust duct or plenum locations against an action level to create a fan setback signal.

Methods and apparatus for an exhaust demand control system for measuring one or more contaminants at one or more exhaust locations within one or a plurality of exhaust ducts or plenums served by an exhaust fan system. Example systems and methods can include sensing the one or more contaminants within the one or more exhaust duct locations using a multipoint air sampling system having one or more sensors and comparing contaminant concentration measurements from the one or more of said exhaust duct or plenum locations against an action level to create a fan setback signal.

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.

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.

A ventilation system including a ventilator and a processor. The ventilator includes a housing, first intake, second intake, first outlet, second outlet, dampers, first air blower, second air blower, total heat exchanger, and heat exchanger. The processor is configured to change the air flow path of air flowing through the housing from an intake flow path and discharge flow path while in a ventilation mode to a heat exchanger cleaning mode or a total heat exchanger drying mode, in which air in the room flows into the housing through the first outlet, passes through the heat exchanger and then the total heat exchanger, and is discharged to the space outside the room through the second outlet.

Systems and methods provide techniques for performing predictive maintenance data analysis based on telemetry data. In one embodiments, a method includes at least operations configured to obtain a training telemetry data object, determine a training input data object based on the training telemetry data object, obtain a maintenance data object, and generate a trained predictive maintenance convolutional neural network based on the training input data object and the maintenance data object. The trained predictive maintenance convolutional neural network can be utilized to generate maintenance predictions for a monitored system. The maintenance prediction can include data objects with visual explanatory capabilities, such as data objects that describe heatmaps over input telemetry data.

Systems and methods provide techniques for performing predictive maintenance data analysis based on telemetry data. In one embodiments, a method includes at least operations configured to obtain a training telemetry data object, determine a training input data object based on the training telemetry data object, obtain a maintenance data object, and generate a trained predictive maintenance convolutional neural network based on the training input data object and the maintenance data object. The trained predictive maintenance convolutional neural network can be utilized to generate maintenance predictions for a monitored system. The maintenance prediction can include data objects with visual explanatory capabilities, such as data objects that describe heatmaps over input telemetry data.

An actuator for controlling a flow regulation device. The actuator includes a drive device coupled to the flow regulation device and a motor coupled to the drive device and operable to move the drive device. The actuator further includes a processing circuit configured to receive a first measurement of a characteristic, control the actuator to reposition the flow regulation device in a first direction, receive a second measurement of the characteristic, determine an installation error associated with at least one of the actuator and the flow regulation device based on the first measurement and the second measurement.

An object of the present invention is to provide a safety cabinet capable of controlling the purity during usage. In order to realize the object, the safety cabinet is configured to include an operation space including an operation stage; a front panel formed in a front surface of the operation space; an operation opening provided in a lower portion of the front panel; a suction port that is provided in the vicinity of the operation opening on a front side of the operation stage to lead downward; an air circulation path through which air suctioned from the suction port flows along a lower portion, a back surface, and an upper portion of the operation space; a particle counter; an operation space-air intake port provided in the operation space to take air into the particle counter; and an introduction pipe that introduces the air into the particle counter from the operation space-air intake port.

An object of the present invention is to provide a safety cabinet capable of controlling the purity during usage. In order to realize the object, the safety cabinet is configured to include an operation space including an operation stage; a front panel formed in a front surface of the operation space; an operation opening provided in a lower portion of the front panel; a suction port that is provided in the vicinity of the operation opening on a front side of the operation stage to lead downward; an air circulation path through which air suctioned from the suction port flows along a lower portion, a back surface, and an upper portion of the operation space; a particle counter; an operation space-air intake port provided in the operation space to take air into the particle counter; and an introduction pipe that introduces the air into the particle counter from the operation space-air intake port.