Pattern recognition method and system based on function integration association

Abstract

The invention discloses a mode recognition method and system based on function integration association, and the system comprises a filtering system data module, a mode recognition calculation module and a detection mode control module, the filtering system data module is used for collecting and recording the wind speed flow and pressure data related to a filter screen; the mode recognition calculation module is used for recognizing the filth blockage mode of the filter screen according to the recorded data and judging whether further accurate detection is needed or not, and the detection mode control module is used for regulating and controlling the detection mode in real time according to the judgment result and carrying out early warning reminding on the filth blockage condition of the filter screen. The filter system data module is electrically connected with the mode recognition and calculation module, the mode recognition and calculation module is electrically connected with the detection mode control module, and the filter system applies different detection modes to a filter screen, calculates the filth blockage degree coefficient of the filter screen and carries out real-time reminding and early warning according to a detection result. The method has the characteristics that the dirty mode of the filter screen can be identified and the detection method is adjustable.

Description

technical field [0001] The invention relates to the technical field of pattern recognition of dirty and blocked filter nets, in particular to a pattern recognition method and system based on function integration association. Background technique [0002] The air-conditioning fan rotates to inhale the air, the air is filtered by the filter, and then blown out after heat exchange through the heat exchanger, so as to realize the function of adjusting the air temperature, but the indoor air is not clean air, which contains a lot of suspended particles such as dust and bacteria. , When the air passes through the air ducts and heat exchangers inside the air conditioner, the air conditioner filter screen filters out the suspended particles with a large radius. The air filter screen in the air conditioner accumulates different degrees of dust and dirt after long-term use. Entrainment produces a large amount of bacteria and viruses. After the dust floats up and down in the air condit...

AI Technical Summary

Problems solved by technology

[0002] The air conditioner fan rotates to inhale the air, the air is filtered by the filter, and then blown out after exchanging heat through the heat exchanger, so as to realize the function of adjusting the air temperature, but the indoor air is not clean air, which contains a lot of suspended particles such as dust and bacteria , when the air passes through the air duct and heat exchanger inside the air conditioner, the air conditioner filter filters out the suspended particles with a larger radius. After a long time of use, the air filter in the air conditioner accumulates dust and dirt of varying degrees Entrainment produces a large number of bacteria and viruses. Dust floats up and down in the air-conditioning system and then is output as the air circulates indoors. Many times users feel that there is no major impact and do not care about it, let alone disassemble and clean it. When you feel that the air blown by the air conditioner smells bad and makes you feel uncomfortable, or when the air conditioner heats up and the cooling efficiency is greatly reduced, you will start to care about cleaning, but you still don’t know how much dust the air conditioner filter has accumulated

[0003] Therefore, it is particularly important to remind the dirty degree of the filter, which plays an important role in improving the equipment's operating energy consumption, functional experience, and user health. The basic detection technology currently used by the air conditioner is used to identify and detect the dirty degree of the filter. Due to the influence of air-conditioning equipment performance and environmental factors, this method is prone to false alarms and poor recognition accuracy. However, using high-precision recognition and detection requires adding other high-precision detection equipment and sensors inside the air conditioner. Use the same functional energy consumption to detect different degrees of dirtiness of the filter screen. Although they can all be accurately identified and detected as a whole, they simultaneously increase the additional high cost of operation and the overall energy consumption of the air conditioner. A pattern recognition method and system based on functional integration association is necessary

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