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.

Apparatus for removing particulate matter from an enclosure having an internal space and an opening into the internal space, comprising: a cover positionable adjacent the opening so that the cover covers the opening; a gas source external to the internal space; an inlet conduit that in use extends through the cover and is adapted to direct gas from the gas source to at least one gas outlet within the internal space whereby particulate matter within the internal space is dislodged and entrained in gas within the internal space; a source of partial vacuum adapted to maintain a partial vacuum within the enclosed space and to draw gas and particulate matter entrained therein from the internal space firstly through an outlet conduit and then through a particulate matter separation means comprising at least one filter; a sensor for sensing concentration of particulate matter in gas leaving the enclosed space; a display adapted to provide to a user information on concentration of particulate matter leaving the internal space so that the operator can continue use of gas from the gas source to dislodge particulate matter in the internal space until a satisfactory value of the concentration is achieved.

A building management system (BMS) for filtering a fluid within a building is shown. The system includes one or more sensors configured to measure one or more characteristics of a first fluid within an air duct of the BMS and measure one or more characteristics of a second fluid after the second fluid has been filtered. The system further includes a pollutant management system configured to receive data from the one or more sensors and control a filtration process. The filtration process selects a filter of a plurality of filters based on at least one of a level of the one or more characteristics of the first fluid or the one or more characteristics of the second fluid.

An air purifier filter system comprises an air purifier filter unit and a machine readable identifier which provides information concerning the filter unit type and performance information specific to a target pollutant to be filtered by said air purifier filter unit from a plurality of different pollutants that can be filtered by that filter unit type. This information can be used to provide an end of life prediction for the filter unit or provide advice that the filter should be changed for other reasons. This enables the user to be given advance warning, and to be given instructions when it is time to change the filter unit. The instructions to change the filter unit may be more accurate than a simple timer as they can take account of the type of filter unit and the performance information. In some examples the use history of the filter unit may also be used to predict the time when it should be changed.

An indoor air quality (IAQ) control system for a heating, ventilation, air conditioning, and Refrigeration (HVACR) system including an IAQ monitor that collects air quality data from an air quality sensor of an air quality-controlled space; a controller that manages a remediation device of the air quality-controlled space; and an IAQ management server that generates a biological pollutant estimate based on the air quality data using an algorithm that correlates the air quality data to the biological pollutant estimate, and generates a remediation recommendation. Additionally, a control method includes collecting air quality data from an air quality sensor of an air quality-controlled space using an IAQ monitor; managing a remediation device of the air quality-controlled space using a controller; generating a biological pollutant estimate based on the air quality data using an algorithm that correlates the air quality data to the biological pollutant estimate; and generating a remediation recommendation.

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.

A duct detector may include a detection chamber and a control circuitry stacked vertically on top of the detection chamber. A sealing gasket may seal a contact between a substrate of the control circuitry (e.g., the seal may be at the bottom surface of a printed circuit board containing the control circuitry) and the detection chamber such that particles analyzed the detection chamber may not damage the control circuitry. Therefore, by providing a sealed barrier between the control circuitry and the detection chamber, the sealing gasket allows for stacking the control circuitry and the detection chamber. As the seal does not create a barrier (the barrier is for the detection chamber) for a repair personnel to access the control circuitry, repairs to the duct detectors may be easier because the seal may not have to be broken and resealed during the repair process.

One variation of a method includes, during execution of a tracer test: triggering release of a tracer load into air in an aerosol zone by a dispenser transiently arranged in the aerosol zone, the tracer load including a concentration of aerosol tracers; and recording a timeseries of aerosol data via a sensor unit transiently arranged in the aerosol zone, the timeseries of aerosol data representing concentrations of aerosol particles present in air. The method further includes: based on the timeseries of aerosol data and the concentration, deriving a tracer concentration curve representing change in concentration of aerosol tracer particles; based on characteristics of the tracer concentration curve, deriving an airflow value representing removal of aerosol particles from the aerosol zone during the tracer test; and interpreting an outcome for the tracer test based on a difference between the airflow value and a target airflow value defined for the aerosol zone.

An air quality monitoring device and an associated method of manufacturing. An example air quality monitoring device may include a housing having a chamber and an inlet port. The inlet port may be structured to receive an air flow from outside the housing and provide the air flow to the chamber. The air quality monitoring device may include a plurality of sensors disposed within the chamber and configured to measure air quality data associated with the air flow. The air quality monitoring device may include an adapter configured to be connected to the inlet port and a continuous positive airway pressure machine. The inlet port may be configured to receive the air flow from the continuous positive airway pressure machine via the adapter. The air quality monitoring device may include a controller connected with the plurality of sensors and configured to transmit the air quality data to a computing device.

An indoor air cleaning system with disconnection detecting and preventing mechanism includes a gas filtration device and a cloud computing server. The gas filtration device is disposed in an indoor field and including a fan, a filter element, a gas detector and a driving control element. The gas detector detects air pollution, outputs air pollution information. The cloud computing server receives the air pollution information via IOT communication, stores the air pollution information to form a big data database, performs an intelligence computing for comparison based on the big data database, and issues a control command to enable the fan. When IOT communication is judged as disconnected, the gas detector autonomously computes and compares the air pollution information and issues the control command to enable the fan, thereby reaching a gas state of the indoor field to a cleanroom class with a level of air pollution close to zero.