Devices, systems and methods for obtaining data representative of the condition of an air filter media of an air filter installed in a powered air-handling system, and for using such data to present an indication of the air filter media condition to a user. The devices, systems and methods use pressure information representative of at least a downstream pressure of the powered air-handling system.

Systems and methods determine a filter efficiency of a fluid filter. A characteristic of fluid flow of a fluid is monitored at a first point and at a second point on a flow path of a fluid filter. A particle absorption level of the fluid filter is determined that is a difference in the characteristic of the fluid flow at the first point and the second point. The particle absorption level of the fluid filter is at a particle absorption saturation level based on the difference in the characteristic of the fluid flow at the first point and the second point. The particle absorption saturation level is an indicator that the particles retained by the fluid filter is decreased and replacement of the fluid filter is required to increase the particles retained by the fluid filter to be above the particle absorption saturation level.

Disclosed is a method of predicting the lifespan of a filter in an air cleaner based on machine learning. According to an embodiment of the present disclosure, a machine learning-based filter lifespan prediction method may more precisely predict the lifespan of a filter in an air cleaner by inputting fine dust concentration data and a history related to use of the air cleaner to a lifespan prediction model and determining the purifying efficiency and exchange time of the filter according to an output value. Intelligent air cleaner of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

A system and a method for testing a filter used in ultrapure water are provided. The method for testing a filter, which is used for removing particles from ultrapure water, comprises: providing a testing solution with particles; detecting the particles in the testing solution by a particle counter; passing the testing solution through a filter; and detecting the particles in the testing solution, which is passed through the filter, by another particle counter.

An inspection method for a pillar-shaped honeycomb filter having a honeycomb-shaped first end face and a honeycomb-shaped second end face, including: allowing gas containing fine particles to flow into the first end face; imaging the entire second end face covered with the sheet-like light using a camera while the gas that has flowed into the first end face flows out of the second end face through the filter, and generating an image of the entire second end face covered with the sheet-like light; selecting an inspection area of the second end face and measuring information concerning a sum of luminance of all pixels in the inspection area; and determining quality of the filter based on at least the information concerning the concentration of the fine particles in the gas before the gas flows into the first end face and the information concerning the sum of luminance.

Provided is a fan filter unit with which the performance of a HEPA filter can be measured at multiple points with ease and in a short time. The fan filter unit has a first HEPA filter, a second HEPA filter, and exhaust means installed between the first HEPA filter and the second HEPA filter. The first HEPA filter, the second HEPA filter, and the exhaust means are integrated by a housing.

An air filter includes filter media, a sensor, and circuitry coupled to the sensor, the circuitry configured to receive data from the sensor representative of the condition of the filter media and wirelessly transmit such data. The data may be received by a device with a display to use the information to present an indication of the filter media condition to a user.

A method for determining a vehicle heating, ventilation, and air conditioning (HVAC) passenger cabin air filter filtration performance includes determining a vehicle-exterior atmospheric particulate contaminant concentration, a passenger cabin air filter efficiency, and an HVAC airflow rate. The passenger cabin particulate contaminant concentration is calculated from the determined atmospheric particulate contaminant concentration, passenger cabin air filter efficiency, and HVAC airflow rate.

A media sample holder includes a base and a plurality of retention assemblies including retaining tabs and opposing flexible release lever arms, configured to allow attachment of the base to an attachment adapter. The media sample holder can attach a media sample on or near a filter. The media sample holder held in the media sample holder can have a different removal efficiency curve than a removal efficiency curve of the filter. The media sample can be placed at or near the filter for a period of time, then tested to determine the status and/or life of the filter based on the relationship between the remaining life, exposure, or removal efficiency of the filter and the exposure or removal efficiency of the tested media sample.

A honeycomb body having a porous ceramic honeycomb structure with a first end, a second end, and a plurality of walls having wall surfaces defining a plurality of inner channels. A highly porous layer is disposed on one or more of the wall surfaces of the honeycomb body. The highly porous layer has a porosity greater than 90%, and has an average thickness of greater than or equal to 0.5 μm and less than or equal to 10 μm. A method of making a honeycomb body includes depositing a layer precursor on a ceramic honeycomb body and binding the layer precursor to the ceramic honeycomb body to form the highly porous layer.