Described herein are heating, ventilation, air conditioning, and refrigeration (HVACR) systems and methods directed to indoor air quality. HVACR systems and methods are based on dynamic people modeling to simulate and/or to monitor airflow impact on pathogen spread in an indoor space. HVACR systems and methods model an indoor space with pathogen killing technology to deploy the pathogen killing technology. HVACR systems and methods are directed to control administration of a pathogen killing technology to an indoor space based on factors that impact airflow including from dynamic analytics, a known input, and/or detection.

A method of releasing an output-suppressed control state in an air conditioning system that includes a control device configured to control one or more air conditioners, and a management device configured to be connected to the control device via a network to transmit, to the control device, a command to control output suppression of an air conditioner from among the one or more air conditioners to cause the air conditioner to be in the output-suppressed control state, includes a confirmation step of confirming whether communication between the control device and the management device is disconnected; and a transmission control step of, in a case where the communication between the control device and the management device is not disconnected, prohibiting transmission of a command to release the output-suppressed control state to the control device without intervention of the management device, and in a case where the communication between the control device and the management device is disconnected, allowing transmission of the command to release the output-suppressed control state to the control device without intervention of the management device.

A method of training a comfort model used for controlling a heating, ventilation, and air-conditioning, HVAC, system. The method includes: a user device providing a plurality of user feedbacks, each of the plurality of user feedbacks is provided at a respective point in time and describes a thermal comfort of a user using the user device; at each point in time associated with the plurality of user feedbacks, each of a plurality of HVAC devices detecting running parameters; and for each of the plurality of user feedbacks: inputting the running parameters of each of the plurality of HVAC devices detected at the respective point in time into the comfort model to generate a predicted thermal comfort, determining a loss value by comparing the predicted thermal comfort with the thermal comfort described by the respective user feedback, and training the comfort model to reduce the loss value.

A heating, ventilation, and air-conditioning, HVAC, system and a method of controlling a HVAC system, The method includes: successively for at least two HVAC devices of a plurality of HVAC devices: controlling the HVAC device in accordance with a set target temperature value which is different from an environmental temperature value, wherein the other HVAC devices of the plurality of HVAC devices are deactivated or running with unvarying running parameters, and for at least two environmental sensors of a plurality of environmental sensors, determining whether environmental parameters detected by the environmental sensor change; correlating at least one environmental sensor to the HVAC devices for which a change of the environmental parameters is determined; and controlling the HVAC system to change at least one environmental parameter associated with the at least one environmental sensor using the HVAC devices correlated with the at least one environmental sensor.

A method for controlling operation of a fluid transport system by applying a self-learning control process. The method includes: receiving obtained values of input signals during operation of the system during a first period of time, which is controlled by a predetermined control process, automatically selecting a subset of the input signals based on the received obtained values of the input signals, receiving obtained values of at least the selected subset of input signals during a second period of time, which is controlled by applying the self-learning control process, which is configured to control operation based only on the selected subset of input signals, and wherein applying the self-learning control process includes updating the self-learning control process based on the received obtained values of the selected subset of the input signals and based on at least an approximation of a performance indicator function.

A diagnostic system diagnoses an abnormality of a diagnostic object by using a plurality of diagnostic logics. The diagnostic system includes an acquisition unit, a determination unit, a generation unit, and an output unit. The acquisition unit acquires diagnostic object information relating to the diagnostic object. The determination unit determines whether each of the diagnostic logics is executable or not based on the diagnostic object information. The generation unit generates a diagnostic result including information relating to whether the diagnostic logics determined by the determination unit are executable or not. The output unit outputs the diagnostic result.

Occupancy data over time is received for each of several spaces within a building from occupancy sensors that are disposed within each of the spaces. An occupancy value is determined for each of at least some of the several spaces based on the received occupancy data, each occupancy value representative of a percent of time that the respective space was occupied over an identified period of time. The space that had a highest occupancy value over the identified period of time is identified. A utilization value is determined for each of the spaces, wherein the utilization value is representative of a ratio of the occupancy value of the respective space and the highest occupancy value. An operation of the building is changed based at least in part on the utilization value of at least one of the plurality of spaces.

An air conditioning control system includes a plurality of remote control terminals and a server. The plurality of remote control terminals each calculates a time required for a user of the remote control terminal to return to a building from outside the building, and transmits information indicating the time required to the server. The server calculates an estimated time when a user who returns to the building first among the plurality of users returns to the building on the basis of the time required, and transmits a command for changing air conditioning setting to an air conditioner in stages from a time when the estimated time is calculated to the estimated time calculated.

Provided is a rack, comprising: a plurality of rack units; and a plurality of lockers each housing a different respective subset of the rack units, wherein respective lockers among the plurality comprise: a first respective barrier disposed between a respective pair of the rack units; a second respective barrier disposed between another respective pair of the rack units; a third respective barrier that is orthogonal to the first barrier and the second barrier, the third respective barrier being moveably or removeably coupled to the rack; a respective volume configured to receive one or more computing devices; and a respective lock configured to secure the third respective barrier to the rack in the closed position when in a locked state.

Disclosed is a system including one or more smart utilities, and a personal smart device configured to: communicate with the one or more smart utilities over one or more networks, instruct the one or more smart utilities to return self-identifying information, and instruct one or more of the one or more smart utilities, individually or as a subgroup, to activate an identifying beacon.