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CN-122015252-A - Air conditioner control method, device, equipment and medium based on environment agency quota

CN122015252ACN 122015252 ACN122015252 ACN 122015252ACN-122015252-A

Abstract

The invention discloses an air conditioner control method, device, equipment and medium based on environment agent quota, wherein the method calculates the comprehensive score reflecting the risk level of microorganisms by collecting multisource scoring parameters and safety judgment parameters in a target space and utilizing a fusion algorithm of rule judgment and a comprehensive scoring model. The problems that the prior art cannot evaluate the microbial risk in real time and the purifying action is extensive are solved.

Inventors

  • HE ZHIJIE

Assignees

  • 珠海格力电器股份有限公司

Dates

Publication Date
20260512
Application Date
20260311

Claims (13)

  1. 1. An air conditioner control method based on environment agency quantity quota, which is characterized by comprising the following steps: Collecting multisource scoring parameters and safety judging parameters in a target space; Based on the multi-source scoring parameters, determining and calculating a comprehensive scoring model through a fusion rule to generate a comprehensive score reflecting the risk level of microorganisms; And according to the comprehensive score, combining a preset purifying action quota and a safety constraint condition, and dynamically scheduling a purifying execution mode of the air conditioner.
  2. 2. The environmental agent quota-based air conditioner control method of claim 1, further comprising: And in the process of executing the purifying action, continuously calibrating and calculating the accumulated load of the filter screen based on the multi-source scoring parameters, and triggering a maintenance reminding or self-cleaning action of the filter screen according to the accumulated load of the filter screen and a preset alarm rule.
  3. 3. The method of claim 2, wherein the step of collecting multiple source scoring parameters in the target space comprises: collecting the concentration of particulate matters, the concentration of carbon dioxide, the relative humidity and the concentration of total volatile organic matters in a target space through an environment sensor; collecting the front-rear pressure difference of a filter screen of the air conditioner through a differential pressure sensor; Acquiring fan operation parameters of an air conditioner through an air conditioner fan driving module; and taking the particle concentration, the carbon dioxide concentration, the relative humidity, the total volatile organic compound concentration, the pressure difference between the front and the back of the filter screen and the fan operation parameter as multisource scoring parameters.
  4. 4. The air conditioner control method based on an environmental agent quota as claimed in claim 2, wherein said step of collecting a security decision parameter includes: Acquiring an air channel switching state through an air channel valve of an air conditioner; acquiring a person presence state in a target space through a person detection module; acquiring the concentration of ozone in a target space through an ozone sensor; And taking the presence state of the personnel, the fan operation parameter of the air conditioner and the ozone concentration as safety judgment parameters.
  5. 5. The air conditioner control method based on environmental agent quota of claim 3, wherein the step of generating a composite score reflecting a microbial risk level by fusing rule judgment with composite score model calculation based on the multi-source score parameter comprises: performing binarization judgment on the multisource scoring parameters according to the preset fusion rule to generate a plurality of rule trigger signals; carrying out weighted summation on the rule trigger signals to obtain rule layer scores; inputting the multisource scoring parameters into a comprehensive scoring model, and outputting model probability scores; and carrying out dynamic weighted fusion on the rule layer scores and the model probability scores to generate the comprehensive scores.
  6. 6. The air conditioner control method based on an environment agent quota as claimed in claim 5, wherein the step of performing binarization judgment on the multi-source scoring parameter according to the preset fusion rule, and generating a plurality of rule trigger signals includes: Triggering a first rule signal when the carbon dioxide concentration exceeds a first concentration threshold; triggering a second rule signal when the rate of rise of the particulate matter concentration exceeds a second rate of rise threshold; Triggering a third rule signal when the relative humidity exceeds a third humidity threshold; and triggering a fourth regular signal when the differential pressure increase rate of the filter screen exceeds a fourth increase rate threshold.
  7. 7. The method for controlling an air conditioner based on an environmental agent quota as claimed in claim 4, wherein the step of dynamically scheduling a purge execution mode of the air conditioner according to the composite score in combination with a preset purge action quota and a safety constraint condition comprises: Acquiring the current comprehensive score, the residual quantity of the purifying action quota, the safety constraint condition and the preference condition input by a user; Triggering a high-intensity purifying action when the comprehensive score is not lower than a first score threshold, the residual quantity of the purifying action quota is not lower than a preset minimum execution duration, and the safety constraint condition allows high-intensity purifying; When the comprehensive score is not lower than a first score threshold, but the residual quantity of the purifying action quota is lower than a preset minimum execution duration, or the safety constraint condition does not meet a high-intensity purifying condition, triggering a medium-intensity purifying action, and uploading a compensation request to a cloud to automatically schedule a high-intensity purifying task in a low-occupation period; when the comprehensive score is lower than a first score threshold but not lower than a second score threshold, triggering a medium-intensity purifying action or a low-intensity purifying action according to the preference condition input by the user, wherein the first score threshold is higher than the second score threshold; when the composite score is below a second score threshold, a low intensity purge action is triggered, or the purge function is turned off and only the basic ventilation mode of the air conditioner is maintained.
  8. 8. The environmental agent quota-based air conditioner control method of claim 7 wherein said security constraints are: Allowing ultraviolet sterilization to be performed during the high-intensity cleaning action only when the person presence state is unmanned or the air duct switch state is air duct closed; only when the ozone concentration does not exceed a preset safety threshold, it is allowed to perform ionization purification during the high-intensity purification action.
  9. 9. The environmental agent quota-based air conditioner control method of claim 3 wherein the step of continuously calibrating the calculated screen cumulative load based on the multi-source scoring parameter comprises: Calculating the air flow volume flow of the air conditioner according to the operation parameters of the fan; Calculating the mass increment of captured particles in unit time according to the concentration of the particles and the volume flow of the air-conditioning airflow; carrying out accumulation summation on the particle mass increment to obtain total captured particle mass; And continuously calibrating and calculating the accumulated load of the filter screen through a preset empirical relation model between the pressure difference of the filter screen and the total trapped particle mass.
  10. 10. The environmental agent quota-based air conditioner control method of claim 1, further comprising: Uploading a local operation log of the air conditioner to a cloud, aggregating and optimizing the strategy of the comprehensive scoring model and the purifying action quota based on the local operation log through a cloud server, and receiving updating information based on an optimizing result and issued by the cloud server.
  11. 11. An environmental agent quota-based air conditioner control device for executing the environmental agent quota-based air conditioner control method according to any one of claims 1 to 10.
  12. 12. A computer device, characterized in that the computer device comprises a memory for storing a computer program and a processor connected to the memory for running the computer program stored in the memory for performing the steps of the method according to any one of claims 1 to 10.
  13. 13. A computer readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions which, when executed by a processor, implement the steps of the method of any of claims 1 to 10.

Description

Air conditioner control method, device, equipment and medium based on environment agency quota Technical Field The present invention relates to the field of air conditioner control technologies, and in particular, to an air conditioner control method, device, equipment, and medium based on an environment agent quota. Background With the improvement of living standard and the enhancement of public health consciousness, the influence of indoor air quality on human health has become a focus of general public concern. Modern household and commercial air conditioning equipment is not limited to the traditional temperature regulation function, and various air purification technologies such as HEPA efficient filtration, electrostatic dust removal, anion generation, UV-C ultraviolet sterilization and the like are increasingly integrated, so that a healthier and safer breathing environment is provided for users. However, the intelligent air conditioner control method on the current market exposes a series of deep technical bottlenecks when dealing with complex indoor air health challenges. The most central problem is that the prior art relies heavily on direct monitoring of single or few contaminants. For example, systems commonly determine air cleanliness via a PM2.5 sensor, and activate or deactivate a purging function accordingly. Although respirable particulate matter is an important air contaminant, it is only one side of an air health problem. The microbial load, including bacteria, viruses, mold spores, etc., which is often attached to particulate matter or transmitted through the air, is truly a threat to human health. These microorganisms are key murders in causing transmission of respiratory diseases and allergic reactions. However, the direct, on-line and real-time detection of the microorganism concentration is technically extremely complex, costly, and has a long detection period, which is not suitable for consumer-grade air conditioning products at all. This makes existing systems plagued either by invisible microbial risks or by excessive, indiscriminate decontamination "in case" resulting in serious waste of resources. Accompanying this blind spot of risk assessment is a rough management problem that efficiently decontaminates resources. UV-C ultraviolet has a high-efficiency microbial inactivation capacity, but it is potentially harmful to human skin and eyes, and must be ensured to be safely used in an unmanned environment. Also, the high air volume, high power mode of operation, which is turned on for rapid purification, can rapidly reduce contaminant concentration, but can bring significant increases in energy consumption and operational noise, affecting user comfort. Currently, these energy efficient, high risk decontamination actions lack an effective scheduling mechanism. The system is usually triggered by a preset time table or a simple threshold value, and cannot dynamically respond according to real-time change of risks. For example, even if there is a risk of microorganisms in the room that rise sharply due to the accumulation of multiple people, the system may not be able to activate UV-C for a "non-set period", whereas when the risk is low, the system may frequently activate a high power mode due to erroneous judgment. This one-cut or mechanical control approach completely breaks the dynamic association between risk assessment and resource scheduling. Therefore, the air conditioner control method in the prior art faces a fundamental contradiction that dynamic evaluation of microorganism risks can not be realized on the premise of ensuring personnel safety and system energy consumption constraint, and intelligent and refined scheduling of efficient purification actions can be performed according to the dynamic evaluation. They lack an ability to transform multisource environmental information fusion into risk awareness, and further lack a set of intelligent decision systems that can optimally allocate limited, high-cost purification capabilities as resource quotas. This not only results in a waste of energy and a reduction in the life of the device, but also does not truly effectively preserve the respiratory health of the user. In order to solve the series of problems, an innovative control method is needed to solve the technical problem that the air conditioner control method in the prior art cannot realize dynamic evaluation of microbial risks and intelligent scheduling of efficient purifying actions according to the dynamic evaluation of microbial risks on the premise of ensuring personnel safety and energy consumption constraint. Disclosure of Invention The embodiment of the invention provides an air conditioner control method, device, equipment and medium based on environment agency quota, which aim to solve the technical problem that the air conditioner control method in the prior art cannot realize dynamic evaluation of microbial risks and intelligent scheduling of high-efficiency