A control system for turbine systems configured to provide accurate interpretations of detected particle accumulation, improve performance of turbine systems, and/or minimize costs due to downtime and maintenance are disclosed. The control system may build an intelligent model of fluid flow based on measured data provided by a sensor in a fluid flow path of the turbine system. The intelligent model consults a filter efficiency framework and determines an impact value that quantifies an operational efficiency of the turbine system and may identify a location of possible leakage, estimate a total amount of ingress of particles, identify components of the turbine system that may be operating in a diminished capacity, estimate a risk of damage to components of the turbine system, and/or recommend mitigation actions.

A control system for turbine systems configured to utilize an intelligent model of particulate presence and accumulation within turbine systems to address engine maintenance, erosion, corrosion, and parts failure mitigation is disclosed. The control system may build an intelligent model of fluid flow based on the data value measured by at least one sensor and based on a database of known data values to provide an estimation of amount of ingress of air intake particles into the turbine system, fouling within the turbine system, erosion of at least a portion of the turbine system, and performance degradation rate of the turbine system.

A method, an air treatment device and a system associated with determining a degree of utilized capacity of a filter for processing air present in an ambient volume. Determining a total accumulated pollutant amount in the filter. Comparing the determined total accumulated pollutant amount to a reference pollutant amount to determine the degree of utilized capacity. The reference pollutant amount is a pollutant amount present in the filter when the air treatment device produces a predetermined clean air flow. The accumulated pollutant amount in the filter is determined based on data obtained from a sensor arranged to measure a current pollutant concentration in the ambient volume and/or pollutant concentration data indicative of a current pollutant concentration in the ambient volume and an estimated volume of air processed by the air treatment device. The volume is estimated based on a current air flow through the filter.

An indoor pollution prevention system includes a plurality of gas detection modules, one or more intelligent control-driving processing devices, one or more gas-exchange processing devices, and one or more indoor cleaning and filtration devices. The gas-exchange processing device includes one or more flow-guiding component and a cleaning and filtration assembly. The intelligent control-driving processing device controls the operation of the indoor cleaning and filtration device in real-time under a surveillance condition, therefore the air pollution source in the indoor space passes through the indoor cleaning and filtration device, allowing the air pollution source in the indoor space to be filtered and exchanged to become a clean air.

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.

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.

A system and method for maintaining, monitoring and improving air quality and purity in a room or environment, such as a hospital room or operating room.

An air purifying system may include at least two air purifiers configured to operate independently and a docking station to support the at least two air purifiers. The docking station may include a backbone extending in a vertical direction and at least two supports corresponding to and supporting the at least two air purifiers. At least one air purifier may have a display configured to operate according to a plurality of modes. When the air purifier having the display is docked on the docking station, the display may indicate overall operating information of the entire air purifying system. When the air purifier having the display is separated from the docking station, the display may indicate individual operating information of the air purifier having the display.

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 purifier including a fan having a plurality of fan speeds; a filter, wherein the fan draws air through the filter; a user interface in communication with a control system; wherein upon activation of the control system, the control system identifies an initial air quality index (AQI) based upon a geographic location of the air purifier, a room size based upon the type of room in which the air purifier is placed, and identifies a fan speed set by a user through the user interface, and determines a target air quality index achievable in thirty minutes of fan operation is provided. Further provided is an air purifier capable of predicting and updating time to achieve a target air quality and a target air quality based on a number of environmental factors.