An HVAC system within a building including an HVAC device having an air filter, a number of sensors, and a control device. The control device has a processor that is configured to determine a current air quality metric based on air quality measurements received by the sensor. The control device is further configured to calculate an average air quality metric based on the current air quality metric and a set of previous air quality metrics. The control device is further configured to store the average air quality metric. The control device is further configured to generate an air filter type recommendation based on the average air quality metric.

An air composition adjustment device is provided with a cover unit including a cover that covers around a gas sensor, an inflow path that takes air into the cover, and an outflow path that causes air to flow out from the cover.

The present disclosure discloses a deep spatial-temporal similarity method for air quality prediction, and belongs to the technical field of environmental protection. When the method predicts air quality-related indexes of a target site, a temporal change of air pollution and a spatial diffusion relationship are effectively combined, and then spatial-temporal similarity sites of the target site are selected; air quality monitoring data collected by the target site, the spatial-temporal similarity site of the target site and geographical neighbour sites of the target site and meteorological data are respectively taken as inputs of a long short term memory network (LSTM) model to obtain uncorrelated output results, and then predicted values of air quality-related index data of the target site are obtained in a mode of support vector regression (SVR) integration. The present disclosure effectively combines the temporal change of air pollution with the spatial diffusion relationship, and namely proposes a more efficient way to select more highly relevant data to predict air quality so that a prediction result is more accurate.

An air cleaner including a case comprising an upper surface and a side surface, a sensor to measure a degree of contamination of air introduced into the case, a round portion in a shape that is curved on the upper surface of the case, and a sensor air inlet on the round portion and through which air is introduced.

Methods and systems of monitoring and managing a facility including a plurality of end point devices. One system includes a first gateway device. The first gateway device includes a first electronic processor configured to receive fixture data from at least one electro-mechanical element of a fixture associated with the facility, the fixture data related to an operation of the fixture, and enable transmission of the fixture data to a remote device for virtual processing. The system also includes a second gateway device communicatively coupled with the first gateway device. The second gateway device includes a second electronic processor configured to receive, from the first gateway device, the processed fixture data. The second electronic processor configured to convert the processed fixture data pursuant to a networking protocol associated with a building management system and transmit the converted fixture data for display via a visual dashboard associated with the building management system.

An HVAC system with a refrigerant gas sensor is provided. In one embodiment, an HVAC system includes a heat exchanger coil installed within a housing. The heat exchanger coil is operable to exchange heat with air in the housing via a refrigerant passing through the heat exchanger coil. The system also includes an HVAC sensor assembly installed within the housing. The HVAC sensor assembly includes a refrigerant gas sensor and an orientation sensor positioned to detect an orientation of the refrigerant gas sensor. The HVAC system may also or instead include a position sensor to detect the position of the refrigerant gas sensor within the system. Additional systems, devices, and methods are also disclosed.

The disclosure relates to libraries used in conjunction with integrated ventilation and temperature controls for enclosed structures. Specifically, the disclosure is directed to libraries, systems and methods for minimizing pollution while simultaneously conserving energy and maintaining required levels of fresh air inside a multi-storied structure and its internal spaces, in an optimal manner, utilizing dynamic, user-defined threshold values and implementing strategies based on user defined goals.

The invention concerns a method to roast coffee beans in a room (100), said method comprising the steps of wherein, when at least one roasting operation is implemented, —obtaining desired roasting data input of said at least one roasting operation, said desired data input, —getting access to information relative to the room and to the coffee beans roasting apparatus, and —before initiating the at least one roasting operation: determining the concentration of each contaminant generated in the room during said at least one roasting operation, for each contaminant, comparing the determined concentration of said contaminant generated in the room with the concentration of said contaminant authorized according to local health and safety regulations.

A system and method for obtaining environmental data—namely air quality information—from various devices contained within a structure is disclosed herein. The various devices contain sensors that can obtain environmental data, which is then analyzed by the system to determine if any level of a component within the data is outside of a predefined threshold range. If the system determines that the level of the component is outside of the predefined threshold range for that given component, the system will carry out certain steps in order to bring the level within the predetermined threshold range. These steps include selecting the appropriate appliance and the proper operating conditions to most efficiently bring the level back within the predetermined threshold range. Once the system has determined that the level is back within the predetermined threshold range, the system will instruct the selected appliance to turn OFF.

An ultra-low pressure, vapor analyte, and vapor pathway parameter monitoring system can include an embedded server comprising a base radio and memory. In some embodiments, the embedded server is communicatively coupled to a third-party database. The system can include a first monitoring device comprising a first ultra-low pressure sensor and a first radio communicatively coupled to the base radio. The embedded server can be remotely located with respect to the first monitoring device whereby the embedded server receives first pressure data from the first monitoring device.