An air purifying prompting system includes an air purifying system and a prompting server wirelessly communicated with the air purifying system. The air purifying system includes an air purifying processor, an air filter communicating with the air purifying processor, a positioning module for positioning the air purifying system, and an air quality sensor for detecting air quality around the air purifying system, wherein the prompting server is arranged to generate an air filter usage time data. The air filter usage time is used to activate generation of air filter prompting signals to the air purifying system.

A filter element sensor module having a housing, a sidewall of the housing including a recessed portion. The sensor module including a sensor assembly being provided within the housing about a sensor port interface being provided at one end of the housing. The sensor module also including processing circuitry being configured to receive signals from the sensor assembly and communication module, the communication module being configured to transmit one or more sensed parameters from the sensor assembly.

Disclosed herein is an air cleaner disposed in an indoor space. An air cleaner according to an embodiment includes a blowing device including a suction port and a discharge port, a fan motor configured to generate an air flow, a purifying unit installed inside the blowing device to purify air, a driving portion configured to move the air cleaner, a communication unit configured to communicate with a moving agent moving in the indoor space, and a processor configured to receive status information including at least one of air quality information and dust occurrence information collected by the moving agent, determine a specific zone in which air purification is to be performed using the status information collected by the moving agent, and perform air purification in the specific zone.

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 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.

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.

The present invention discloses an air purifier, including: an air intake structure and an air discharge structure. The air intake structure is connected and fixed to the air discharge structure via a quick-release structure, the air intake structure is provided with a filter screen, and placement/removal of the filter screen is enabled through engagement/disengagement of the quick-release structure. The air purifier of the present invention has a simple structure and a rational design. The air purifier is divided into two parts, namely an air discharge structure and an air intake structure which are arranged one above the other, and quick dismounting and mounting of the upper part and the lower part are enabled by means of the quick-release structure, thereby realizing quick and easy replacement of the filter screen, and effectively improving the replacement efficiency. In addition, the air purifier has a simple and attractive appearance.

A handheld air purifier may include a suction body provided with a fan to suction air and a filter to filter foreign matter from the sucked air, a handle extending from the suction body, and an agitator provided in the suction body to loosen or scatter dust from a garment. The handheld air purifier may be configured to be attached to and detached from a main air purifier, and the main air purifier may suction dust off the handheld air purifier and sterilize the handheld air purifier when the handheld air purifier is mounted on the main air purifier. The agitator of the handheld air purifier may have a striking member exposed through a lower surface of the suction body, and may move out of and into the suction body to strike the garment so that the dust may be loosened and suctioned into the suction body and filtered by the filter.

An air quality system includes an air precleaner, a filter identification component, and a control module. The air precleaner has a precleaner housing and a filter disposed inside the precleaner housing. The filter identification component is positioned within the precleaner housing at a first position and is mounted on the filter. The control module is positioned within the precleaner housing at a second position and is configured to emit an electrical field and communicate with the filter identification component via the emitted electrical field.

A storage container (100) comprising a housing (110) containing a storage chamber (112) isolated from an outside environment (10). The housing (110) defines a housing inlet (130) and a housing outlet (140). The storage container (100) is configured to clean air in the outside environment (10). The storage container (100) comprises a first filtration assembly (360) coupled to the housing (110) about the housing outlet (140). The first filtration assembly (360) has a first filtration inlet (364) configured to receive air from the storage chamber, a first filtration outlet (366) configured to release air into the outside environment (10), and first filter media (368) between the first filtration inlet (364) and the first filtration outlet (366).