A network of wireless remote climate sensors in a heating, ventilation, and air conditioning (HVAC) system permits the creation of personalized microclimates within an enclosed space. In addition to collecting temperature and humidity data, the wireless remote climate sensors can detect whether the enclosed space is occupied by a human. Human detection is made possible by optional cameras, microphones, and gas sensors on the wireless remote climate sensors. As the human moves throughout the enclosed space, the HVAC system is able to track the human's movement using the wireless remote climate sensors. The HVAC system may adjust airflow to different portions of the enclosed space based on the human's location. The result is an efficient use of system resources to keep users at their ideal temperature.

Improved systems for heating and cooling a space may include a heating and cooling unit for providing heating and cooling functions mounted inside a housing assembly and a display unit mounted to the housing assembly. A control unit may be coupled to the heating and cooling unit and the display unit. The control unit may be operative to cause an image or video associated with heat be displayed on the display unit when the heating and cooling unit is in the heating mode of operation and to cause an image or video associated with coolness be displayed on the display unit when the heating and cooling unit is in the cooling mode of operation. The control unit may be coupled to a server that enables remotes operation of the system via a client application. Other implementations also may be provided.

There is described a system and method for configuring, commissioning and troubleshooting an HVAC unit. A unit type configuration is established based on a type of HVAC system and temperature data, humidity data, and/or indoor air quality data. A fan configuration is established based on whether a variable frequency drive fan is identified. Cooling and heating stage configurations are established based on a compressor parameter and a heating stage parameter. An available auxiliary termination is identified in response to establishing the configurations. A safety is assigned to the available auxiliary termination in response to identifying the available auxiliary termination. An IO table is provided to an HVAC controller, which includes physical input/output assignments for the terminations of the HVAC controller based on the configurations and the assigned safety. For another embodiment, the fan configuration is established based on one of a traditional stage blower fan or variable frequency drive fan.

A method and computing device for inferring an airflow of a controlled appliance operating in an area of a building. The computing device stores a predictive model. The computing device determines a measured airflow of the controlled appliance and a plurality of consecutive temperature measurements in the area. The computing device executes a neural network inference engine using the predictive model for inferring an inferred airflow based on inputs. The inputs comprise the measured airflow and the plurality of consecutive temperature measurements. The inputs may further include at least one of a plurality of consecutive humidity level measurements in the area and a plurality of consecutive carbon dioxide (CO2) level measurements in the area. For instance, the controlled appliance is a Variable Air Volume (VAV) appliance and a K factor of the VAV appliance is calculated based on the inferred airflow.

A controller device for a heating, ventilation, and air conditioning (HVAC) system may output, while in a first state, a first user interface for display at a display device, where the first user interface includes first information at a first output size. The controller device may determine, while in the first state and based at least in part on whether an elapsed time since a most recent indication of user input received at a user input device exceeds a timeout period, that no users are physically proximate to the controller device. The controller device may, in response: transition the controller device from the first state to a second state and output a second user interface at the display device, where the second user interface comprises second information at a second output size that is larger than the first output size.

An air decontamination device (100) comprising: an input unit (102); an output unit (103); and a decontamination unit (104) coupled at a first end (122) to the input unit (102) and coupled at a second end (124) to the output unit (103). The decontamination unit (104) comprises: pairs of conducting plates (108), where one conducting plate of each pair is for being positively charged and the other conducting plate of each pair is for being negatively charged. The positively charged plate and negatively charged plate are separated to form an airflow path (212) and a 3D material (110) that is capable of being potentiated by static electric field is coupled to each side of conducting plate (108). When the static electric filed is applied, the surface moieties of the 3D material (110) are realigned to a direction of the static electric field to potentiate the antimicrobial activity of the 3D material (110) for destroying the microbes present in the received air.

Provided are embodiments that include a system for performing humidity analytics. The system includes an air conditioning system, and one or more sensors operably coupled to the air conditioning system, and a computing server including an HVAC analytics engine operably coupled to the air conditioning system, the HVAC analytics engine configured to actively monitor the air conditioning system based at least in part on data from the one or more sensors over a period of time, and a processor. The processor is configured to monitor moisture characteristics, receive inputs from the one or more sensors to perform a humidity calculation, perform the humidity calculation based on the received inputs from the one or more sensors, and track the humidity calculation over a period of time. Embodiments also include methods for performing humidity analytics.

An air quality adjustment system includes an adsorption-desorption portion that adsorbs a target substance in air and desorbs the target substance adsorbed by the adsorption-desorption portion. The adsorption-desorption portion accumulates an energy in adsorbing the target substance and releases, in desorbing the target substance, at least part of the energy accumulated.

A sanitisation system comprising a chemical vaporising apparatus for storing and vaporising a sanitising chemical com- position. The chemical vaporising assembly comprising a housing configured to receive and retaining one or more sanitising chemical composition containing cartridges, a vaporiser located within the housing, the vaporiser configured to receive and convert a sanitising chemical composition in the chemical containing cartridges into a vapor, and an air purifier assembly located within the housing, the air purifier assembly configured to purify the air by removing vaporised sanitising chemical composition from the air and maintain a low humidity environment.

This disclosure aims to provide a technique for improving the accuracy of prediction. A first trained model for inferring labels for measurement data is generated based on a first data set. The first data set includes: combined data that are a combination of first measurement data, which are related to a first air conditioning apparatus, and labels set for the first measurement data; and second measurement data related to the first air conditioning apparatus.