The present disclosure describes a computer-implemented method that includes: monitoring an air pressure gap between two positions inside a pipe of an air filtration system; generating a first cleaning pulse inside the pipe to cause a drop of the air pressure gap being monitored; comparing a characteristic of the drop of the air pressure gap with a known profile; and based on results of the comparing, determining a status of at least one filter or filter cleaning component of the air filtration system.

An electronic sensor for monitoring aeraulic systems, comprising at least one pressure detector adapted to acquire continuously a differential pressure in a specific point of the system; elements for continuous verification of a trend curve related to the differential pressure variation being provided in order to generate an alarm condition when an inversion of the trend curve is identified, using predefined specific percentage values as limits.

Provided is a filter cleaning device capable of cleaning a filter while suppressing the shortening of the life of the filter.

The present technology provides a filter cleaning device that determines a contaminated region from a plurality of regions of a filter that captures particles or molecules, and supplies energy for reducing a contamination level to some of the plurality of regions determined as the contaminated region. According to the present technology, it is possible to provide a filter cleaning device capable of cleaning a filter while suppressing the shortening of the life of the filter.

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.

An air filter for a ventilation system of a motor vehicle may include a plate-shaped filter body of a folded filter material and at least one sealing strip secured to a lateral edge of the filter body. Adjacent folds of the filter body may be connected to one another via a seam, may follow one another in a longitudinal filter direction, and may extend in a transverse filter direction. The at least one sealing strip may have at least one removal opening penetrating the at least one sealing strip. At least one removal nozzle for removing air flowing through the air filter may be securable to the at least one removal opening.

A filter element comprises a filter media and a restriction indicator device. The restriction indicator device comprises an attachment portion and a movable portion. The attachment portion is attachable to a portion of the filter assembly. The movable portion is movable relative to the attachment portion between a non-buckled position and a buckled position. The movable portion moves from the non-buckled position to the buckled position once a predetermined pressure drop between an upstream side and a downstream side of the movable portion of the restriction indicator device is met.

A trap bowl is provided to accumulate liquid droplets from a filter, as a liquid content. The trap bowl includes a transparent vertical prism, The transparent vertical prism includes a face that forms a vertical transparent surface facing against a content of the section, The face can provide a first angle of total reflection when content of the section is a type of gas, and a second angle of total reflection when the content of the section is the liquid content. A light source may emit a light beam incident on the face at an angle of incidence. The angle of incidence results in reflection of the light beam, striking the light receiver, when the face has the first angle of total reflection, and results in refraction of the light beam, missing the light receiver, when the face has the second angle of total reflection.

A filter element analysis system for analyzing a filter element within a vehicle, the system including various filter sensors so as to provide information regarding various filter element parameters, a locator which configured provide vehicle position information such that conditions regarding the vehicle environment can be tracked and correlated to the location, as well as a means for transmitting information to a remote server for analysis and tracking of the filter element information with regard to environmental conditions such that a filter element status, remaining filter life, or particle load and replacement timeline can be calculated and updated so as to provide more accurate predictive models of the filter element conditions. As well as provide alerts regarding the need and scheduling of replacement or cleaning of a particular filter element.

A filtration system comprising: a housing defining an air inlet, an air outlet, a first filter receptacle, and an airflow pathway extending from the inlet to the outlet through the first filter receptacle; a first pair of electrodes in communication with the first filter receptacle configured to define a first conductive pathway across the first filter receptacle; a second pair of electrodes in communication with the first filter receptacle configured to define a second conductive pathway across the first filter receptacle; a controller in communication with the first and second pair of electrodes configured to measure a first electrical property across the first filter receptacle using the first pair of electrodes and a second electrical property across the first filter receptacle using the second pair of electrodes; and an interface in communication with the controller configured to report a filter element status based on the first and second electrical property.

Embodiments herein relate to vehicle filter monitoring systems and methods. In an embodiment, a filter monitoring system is included having a filter sensor device configured to generate data reflecting a filter condition value of a filter and a geolocation circuit configured to determine a present geolocation of a vehicle. The system can also include a system control circuit configured to generate or receive local contaminant concentration values at the present geolocation, evaluate the filter sensor device data to determine at least one of the filter condition value and a change in the filter condition value, and generate at least one of a maintenance recommendation and a routing recommendation based on the local contaminant concentration values, time spent at the geolocation of the vehicle, duty cycle of the vehicle, the filter condition value, and a change in the filter condition value. Other embodiments are also included herein.