Air self-adaptive purification control method and device, terminal equipment and storage medium

By constructing a coupled kinetic model of polluted gases and an exponential formula, the operating power of the air purification system is dynamically adjusted, which solves the problem of high energy consumption of the funeral home's air purification system, achieves a dynamic balance between purification effect and energy consumption, reduces energy consumption and improves purification efficiency.

CN120609137AInactive Publication Date: 2025-09-09JIANGXI JIHAI REFRIGERATION EQUIP
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Patent Information

Application Number
CN202510749593.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-06
Publication Date
2025-09-09
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, funeral home air purification systems have the problem of high energy consumption due to the operation of ion generators at relatively high power.

Method used

By constructing a coupled dynamic model of polluted gases, combining exponential formulas and pollutant hazard indexes, the operating power of the air purification system is dynamically adjusted to achieve adaptive purification control, including historical concentration averages, nonlinear response mechanisms, and periodic change characteristic parameters, to predict pollution trends and optimize power allocation.

Benefits of technology

While ensuring the purification effect, it significantly reduces energy consumption, avoids energy waste, and achieves a dynamic balance between energy consumption and purification effect. It is especially suitable for funeral home scenarios where pollution fluctuates intermittently.

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Abstract

The invention is applicable to the technical field of data processing, and provides an air adaptive purification control method and device, terminal equipment and a storage medium, and the method realizes dynamic adaptive power adjustment by constructing a pollution gas coupling kinetic model. A historical concentration mean value, a nonlinear response mechanism and periodic change characteristic parameters are introduced into the model, low power can be kept in low pollution, the purification efficiency can be rapidly improved in high pollution, the pollution trend can be pre-judged, the power can be adjusted in advance, and energy waste is avoided. The multi-pollutant synergistic effect is considered, interaction of different gases is treated in a cross term mode, the purification priority is distributed according to hazard index differentiation, and energy consumption generated by excessive treatment of low-hazard pollutants is reduced. According to the method, dual-mode switching is achieved in combination with hazard index comparison, dynamic balance of energy consumption and the purification effect is achieved while the purification effect is guaranteed, compared with a traditional linear control and single pollutant treatment mode, energy consumption control is more intelligent and efficient, and energy consumption of the air purification system can be effectively reduced.
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