CN113566393B - Air quality determination method, nonvolatile storage medium and air purification equipment - Google Patents

Air quality determination method, nonvolatile storage medium and air purification equipment Download PDF

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Publication number
CN113566393B
CN113566393B CN202110821638.1A CN202110821638A CN113566393B CN 113566393 B CN113566393 B CN 113566393B CN 202110821638 A CN202110821638 A CN 202110821638A CN 113566393 B CN113566393 B CN 113566393B
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air
air index
parameter
quality
index parameter
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CN113566393A (en
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吴斌
刘光有
周永志
唐楚强
柳烨
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/50Air quality properties
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

The invention discloses an air quality determination method, a nonvolatile storage medium and air purification equipment, wherein the air quality determination method comprises the following steps: acquiring a plurality of air index parameters; determining the quality grouping of each air index parameter according to the quality condition of each air index parameter; determining full values of the air index parameters according to the quality grouping conditions of the air index parameters; determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter; calculating the total air quality score according to the actual score values of the air index parameters; and controlling the total mass fraction of the output air. The air quality determination method solves the problem that users are difficult to intuitively and accurately control the indoor comprehensive air quality in the related technology.

Description

Air quality determination method, nonvolatile storage medium and air purification equipment
Technical Field
The invention relates to the field of air quality, in particular to an air quality determination method, a nonvolatile storage medium and air purification equipment.
Background
Along with the aggravation of air pollution, the application of equipment such as air conditioners, air purifiers and the like is more and more extensive, and the air conditioners or the air purifiers in the related art can only detect a plurality of air index parameters of air and show the air index parameters to users, and can not accurately and intuitively inform the users of the comprehensive quality of the current indoor air, so that the users are difficult to clearly know the current indoor air quality, and the users are easily in the environment with the comprehensive air quality not reaching the standard for a long time without awareness, and the adverse effect is brought to the physical health of the users.
In view of the above problems, no effective solution has been proposed.
The above information disclosed in the background section is only for enhancement of understanding of the background of the technology described herein. The background art may therefore contain certain information that does not form the known prior art to those skilled in the art.
Disclosure of Invention
The embodiment of the invention provides an air quality determination method, a nonvolatile storage medium and air purification equipment, which are used for at least solving the problem that users are difficult to intuitively and accurately control the indoor comprehensive air quality in the related technology.
In order to achieve the above object, according to a first aspect of embodiments of the present invention, there is provided an air quality determination method including: acquiring a plurality of air index parameters; determining the quality grouping of each air index parameter according to the quality condition of each air index parameter; determining full values of the air index parameters according to the quality grouping conditions of the air index parameters; determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter; calculating the total air quality score according to the actual score values of the air index parameters; and controlling the total mass fraction of the output air.
Further, determining the quality group of each air index parameter according to the quality condition of each air index parameter includes: matching each air index parameter with a plurality of corresponding parameter intervals; and determining one preset group in the plurality of preset groups as a good-bad group where the corresponding air index parameter is located according to the matching result of each air index parameter and the corresponding parameter intervals.
Further, determining the quality group of each air index parameter according to the quality condition of each air index parameter includes: matching each air index parameter with the corresponding three parameter intervals; according to the matching result of each air index parameter and the corresponding three parameter intervals, determining one of comfortable grouping, standard exceeding grouping or bad grouping as the good and bad grouping of the corresponding air index parameter; determining full scores of the air index parameters according to the good and bad grouping conditions of the air index parameters, wherein the full scores comprise: determining the full value of each air index parameter in the severe group according to the number of the air index parameters in the severe group; and calculating the full scores of the air index parameters in the comfortable grouping and the standard exceeding grouping according to the total score and the full scores of the air index parameters in the bad grouping.
Further, determining the full score value of each air index parameter in the bad group according to the number of the air index parameters in the bad group comprises: matching the number of the air index parameters in the bad groups with a plurality of preset numbers; according to the matching result of the number of the air index parameters in the bad grouping and a plurality of preset numbers, determining one of a plurality of preset values as the full value of each air index parameter in the bad grouping; the preset quantity corresponds to the preset values one by one; as the preset number increases, the corresponding preset value decreases gradually.
Further, calculating the full scores of the air index parameters in the comfort group and the standard exceeding group according to the total score and the full scores of the air index parameters in the bad group, comprising: subtracting full scores of the air index parameters from the total score to calculate a residual score; and dividing the remaining score by the sum of the number of the air index parameters in the comfort group and the over-standard group to calculate the full score of each air index parameter in the comfort group and the over-standard group.
Further, determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter, including: determining the actual score value of the air index parameter as the full score value of the air index parameter under the condition that the corresponding air index parameter is in the comfortable grouping; determining the actual score of the air index parameter to be 0 under the condition that the corresponding air index parameter is in the bad group; and under the condition that the corresponding air index parameters are in the standard exceeding grouping, determining the actual score value of the air index parameters according to the standard exceeding condition of the air index parameters and the full score value of the air index parameters.
Further, under the condition that the corresponding air index parameters are in the standard exceeding grouping, determining the actual score value of the air index parameters according to the standard exceeding condition of the air index parameters and the full score value of the air index parameters, wherein the method comprises the following steps: calculating a proportionality coefficient K corresponding to each air index parameter in the standard exceeding group according to a formula K which is P/L, wherein P is a full score of the corresponding air index parameter, and L is an interval span of a standard exceeding interval corresponding to the corresponding air index parameter; and calculating the actual score value M of each air index parameter in the overproof grouping according to a formula M-P-B-N-K, wherein B is the corresponding air index parameter value, and N is the endpoint value close to the corresponding overproof interval of the comfort interval corresponding to the corresponding air index parameter.
Further, after calculating the total air quality score according to the actual score values of the plurality of air index parameters, the air quality determination method further includes: and under the condition that the total air quality score is not in the target interval or the condition that an air optimization control signal of a user is received, controlling the air conditioner or the air purifier to work according to the actual score values of the air index parameters so as to adjust the air index parameters.
According to a second aspect of embodiments of the present invention, there is provided a non-volatile storage medium including a stored program, wherein the apparatus in which the non-volatile storage medium is controlled to execute the above-described air quality determination method when the program is executed.
According to a third aspect of embodiments of the present invention, there is provided an air purification apparatus comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the air quality determination method described above when executing the computer program.
The air quality determination method applying the technical scheme of the invention comprises the following steps: acquiring a plurality of air index parameters; determining the quality grouping of each air index parameter according to the quality condition of each air index parameter; determining full values of the air index parameters according to the quality grouping conditions of the air index parameters; determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter; calculating the total air quality score according to the actual score values of the air index parameters; and controlling the total mass fraction of the output air. Therefore, by acquiring a plurality of air index parameters and grouping the air index parameters according to the good and bad conditions of the air index parameters, determining the full score of the corresponding air index parameters according to different groups, determining the actual score of each air index parameter according to the full score and the good-bad grouping condition of each air index parameter, and then the total air quality score is calculated and output to the user, which not only facilitates the user to visually know the current comprehensive air quality, and the full score of each air index parameter is determined according to the good and bad grouping conditions of a plurality of air index parameters, the full score of each air index parameter can be more pertinently adjusted according to different good and bad grouping conditions, the finally determined air quality total score can more accurately reflect the current comprehensive indoor air quality, and the problem that users are difficult to intuitively and accurately control the comprehensive indoor air quality in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic flow diagram of an alternative embodiment of an air quality determination method according to the present invention;
FIG. 2 is a schematic representation of the correspondence of different air index parameters to different intervals in an alternative embodiment of the air quality determination method according to the invention;
FIG. 3 is a schematic illustration of the determination of full scores for various air index parameters according to an alternative embodiment of the air quality determination method of the present invention;
FIG. 4 is a schematic illustration of the determination of the proportionality coefficient K according to an alternative embodiment of the air quality determination method of the present invention;
FIG. 5 is a schematic diagram of determining an out-of-range air index parameter actual score value according to an alternative embodiment of the air quality determination method of the present invention;
fig. 6 is a schematic diagram of the correspondence relationship between the different air quality total scores and the air quality grades and the prompt messages according to an alternative embodiment of the air quality determination method of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element or "connected" to the other element through a third element.
Fig. 1 is an air quality determination method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, acquiring a plurality of air index parameters;
step S104, determining the quality groups of the air index parameters according to the quality conditions of the air index parameters;
step S106, determining full scores of the air index parameters according to the quality grouping conditions of the air index parameters;
step S108, determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter;
step S110, calculating the total air quality score according to the actual score values of a plurality of air index parameters;
and step S112, controlling the total output air quality score.
The air quality determination method adopting the scheme comprises the following steps: acquiring a plurality of air index parameters; determining the quality grouping of each air index parameter according to the quality condition of each air index parameter; determining full values of the air index parameters according to the quality grouping conditions of the air index parameters; determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter; calculating the total air quality score according to the actual score values of the air index parameters; and controlling the total mass fraction of the output air. Therefore, by acquiring a plurality of air index parameters and grouping the air index parameters according to the good and bad conditions of the air index parameters, determining the full score of the corresponding air index parameters according to different groups, determining the actual score of each air index parameter according to the full score and the good-bad grouping condition of each air index parameter, and then the total air quality score is calculated and output to the user, which not only facilitates the user to visually know the current comprehensive air quality, and the full score of each air index parameter is determined according to the good and bad grouping conditions of a plurality of air index parameters, the full score of each air index parameter can be more pertinently adjusted according to different good and bad grouping conditions, the finally determined air quality total score can more accurately reflect the current comprehensive indoor air quality, and the problem that users are difficult to intuitively and accurately control the comprehensive indoor air quality in the related technology is solved.
The specific way of controlling the output air quality score may be chosen in many ways, such as output via a display, output via a speaker, pushing it to a client, etc.
The air index parameters are parameters for characterizing air quality, and the specific form thereof can be various, such as temperature, humidity, pm2.5 concentration, TVOC concentration, carbon dioxide concentration, formaldehyde concentration, etc.
In order to more accurately acquire each air index parameter, acquiring each air index parameter comprises acquiring the average value of the corresponding air index parameter in a second preset time range every first preset time by adopting a sliding window algorithm. In this embodiment, the first preset time period is 5s, and the second preset time period is 30s, which can be flexibly adjusted according to specific requirements.
Determining the quality grouping of each air index parameter according to the quality condition of each air index parameter, comprising: matching each air index parameter with a plurality of corresponding parameter intervals; and determining one preset group in the plurality of preset groups as a good-bad group where the corresponding air index parameter is located according to the matching result of each air index parameter and the corresponding parameter intervals.
That is to say, there are a plurality of preset groups, and for each air index parameter, it is necessary to match with a plurality of parameter intervals corresponding to the air index parameter, so as to determine the good or bad group where the air index parameter is located according to the matching result, thus it is possible to group each air index parameter according to its good or bad condition, and it is beneficial to better handle the bad condition of the corresponding air quality.
Determining the quality grouping of each air index parameter according to the quality condition of each air index parameter, comprising: matching each air index parameter with the corresponding three parameter intervals; and according to the matching result of each air index parameter and the corresponding three parameter intervals, determining one of the comfortable grouping, the overproof grouping or the bad grouping as the good and bad grouping of the corresponding air index parameter.
It should be noted that the names of the comfort packets, the superscalar packets, and the bad packets herein only play a role of indicating and characterizing the quality, that is, the air quality corresponding to the comfort packets is better than the quality corresponding to the superscalar packets, and the quality corresponding to the superscalar packets is due to the quality corresponding to the bad packets.
As shown in fig. 2, which is a schematic diagram illustrating the correspondence between different air index parameters and different intervals according to an alternative embodiment of the air quality determination method of the present invention, in fig. 2, the good and bad groups include three, i.e., a comfort group, an over-standard group, or a bad group, and the total number m of the air index parameters is 5, i.e., temperature, humidity, PM2.5 concentration, TVOC concentration, and CO2 concentration. When the value of the corresponding air index parameter falls within the corresponding interval range (comfort interval, over-standard interval, or bad interval), it is determined that the air index parameter belongs to the corresponding group (comfort group, over-standard group, or bad group). It can be seen that, for temperature and humidity, the overproof interval and the harsh interval both have two sections (two sides of the comfortable interval), and for temperature, the comfortable interval, the overproof interval and the harsh interval corresponding to refrigeration and heating are different, and the corresponding interval is selected according to the situation to determine in specific implementation.
Determining full scores of the air index parameters according to the good and bad grouping conditions of the air index parameters, wherein the full scores comprise: determining the full value of each air index parameter in the severe group according to the number of the air index parameters in the severe group; and calculating the full scores of the air index parameters in the comfortable grouping and the standard exceeding grouping according to the total score and the full scores of the air index parameters in the bad grouping.
That is to say, when the quantity of the air index parameters in the bad grouping is different, the full score values of the air index parameters in the bad grouping are also different, and on the basis, the air index parameters in the comfortable grouping and the standard-exceeding grouping are obtained according to calculation, so that more reasonable distribution of the score values can be realized according to the quality conditions of different air index parameters, and the rationality of determining the total air quality score is improved.
Determining a full score value of each air index parameter in the bad group according to the number of the air index parameters in the bad group, comprising: matching the number of the air index parameters in the bad groups with a plurality of preset numbers; according to the matching result of the number of the air index parameters in the bad grouping and a plurality of preset numbers, determining one of a plurality of preset values as the full value of each air index parameter in the bad grouping; the preset numbers correspond to the preset values one to one.
As the preset number increases, the corresponding preset value decreases gradually. Therefore, when the air index parameters in the bad groups are less, the corresponding scores of the air index parameters are larger, the situation can be more obviously reflected on the total air quality when the small part of the air quality parameters are not good, and the problem that the hidden danger is ignored because the total air quality is higher when the small part of the air quality parameters are not good can be solved. Moreover, when the number of the air index parameters in the bad groups is large, the score corresponding to each air index parameter is correspondingly reduced, the comprehensive quality of the air can be reflected more reasonably, the total air quality score is determined more reasonably, and the problem reflection is more visual.
Calculating the full scores of the air index parameters in the comfort groups and the standard exceeding groups according to the total scores and the full scores of the air index parameters in the bad groups, and the method comprises the following steps: subtracting full scores of the air index parameters from the total score to calculate a residual score; and dividing the remaining score by the sum of the number of the air index parameters in the comfort group and the over-standard group to calculate the full score of each air index parameter in the comfort group and the over-standard group.
Fig. 3 is a schematic diagram illustrating the determination of full scores for various air index parameters according to an alternative embodiment of the air quality determination method of the present invention. In accordance with the situation in fig. 2, the good and bad groups include three groups, i.e., a comfort group, an excessive group, or a bad group, the total number m of the air index parameters is 5, the total score is 100, and when the number n of the air index parameters in the bad group is 0, the total score is equally divided by 5 air index parameters, i.e., the full score of each air index parameter is 20. When the number of the air index parameters in the bad group is 1, the full score of the air index parameters in the bad group is 44 (a preset score, which can be adjusted according to the requirement), and the full score and the air index parameters are equally divided into the residual score. When the number of the air index parameters in the bad group is 2, the full score of the air index parameters in the bad group is 38 (a preset score, which can be adjusted according to the requirement), and the full score and the air index parameters are equally divided into the residual score. When the number of the air index parameters in the bad group is 3, the full score of the air index parameters in the bad group is 30 (a preset score, which can be adjusted according to the requirement), and the full score and the air index parameters are equally divided into the residual score. When the number of the air index parameters in the bad group is 4, the full score value of the air index parameters in the bad group is 24 (a preset score value, which can be adjusted according to requirements), and the full score value and the air index parameters are equally divided into the residual score values. When the number of the air index parameters in the bad group is 5, the total score is divided equally by 5 air index parameters, that is, the full score of each air index parameter is 20.
Determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter, and the method comprises the following steps: determining the actual score value of the air index parameter as the full score value of the air index parameter under the condition that the corresponding air index parameter is in the comfortable grouping; determining the actual score of the air index parameter to be 0 under the condition that the corresponding air index parameter is in the bad group; and under the condition that the corresponding air index parameters are in the standard exceeding grouping, determining the actual score value of the air index parameters according to the standard exceeding condition of the air index parameters and the full score value of the air index parameters.
That is, when the air index parameter is in the comfortable grouping, the air index parameter obtains the full score corresponding to the air index parameter, when the air index parameter is in the bad grouping, the air index parameter obtains 0 score, and when the air index parameter is in the excessive grouping, the specific score is determined by dividing the excessive condition and the full score of the air index parameter.
Under the condition that the corresponding air index parameters are in the standard exceeding grouping, determining the actual score values of the air index parameters according to the standard exceeding condition of the air index parameters and the full score values of the air index parameters, wherein the method comprises the following steps: calculating a proportionality coefficient K corresponding to each air index parameter in the standard exceeding group according to a formula K which is P/L, wherein P is a full score of the corresponding air index parameter, and L is an interval span of a standard exceeding interval corresponding to the corresponding air index parameter; and calculating the actual score value M of each air index parameter in the overproof grouping according to a formula M-P-B-N-K, wherein B is the corresponding air index parameter value, and N is the endpoint value close to the corresponding overproof interval of the comfort interval corresponding to the corresponding air index parameter.
Therefore, the actual score values of the air index parameters in the standard exceeding groups can be determined more reasonably, and the rationality of determining the total air quality score is improved.
As shown in fig. 5, which is a schematic diagram illustrating the determination of the actual score value of the air index parameter in the out-of-standard interval according to an alternative embodiment of the air quality determination method of the present invention, it can be seen that the specific calculation formulas are different according to the difference of the cooling or heating modes, the difference of the out-of-standard interval, and the difference of the air index parameter.
After calculating the total air quality score based on the actual score values of the plurality of air index parameters, the air quality determination method further includes: matching the air mass total with a plurality of preset total sub-intervals; determining one air quality grade in a plurality of preset air quality grades as a current air quality grade according to a matching result of the air quality total and a plurality of preset total subareas, wherein the plurality of preset total subareas correspond to the plurality of preset air quality grades one by one; and controlling and outputting the current air quality grade.
Fig. 6 is a schematic diagram illustrating the correspondence relationship between the total air quality score and the air quality level and the prompt information according to an alternative embodiment of the air quality determination method of the present invention. In this embodiment, the air quality grades are divided into four grades of good, medium and poor according to the total air quality score, and the corresponding prompt message corresponds to "you home air quality is very good! "," your family has good air quality! "," the air quality is not good, please improve in time! "," air quality is very poor, please improve immediately! When the air quality comprehensive quality control method is actually implemented, the total air quality score, the corresponding air quality grade and the corresponding prompt information can be output and displayed, so that a user can more intuitively and accurately master the comprehensive quality condition of indoor air.
After calculating the total air quality score based on the actual score values of the plurality of air index parameters, the air quality determination method further includes: and under the condition that the total air quality score is not in the target interval or the condition that an air optimization control signal of a user is received, controlling the air conditioner or the air purifier to work according to the actual score values of the air index parameters so as to adjust the air index parameters.
Secondly, the embodiment of the invention also provides that the nonvolatile storage medium comprises a stored program, wherein the device where the nonvolatile storage medium is located is controlled to execute the air quality determination method when the program runs.
Finally, an embodiment of the present invention also provides an air purification apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the air quality determination method described above when executing the computer program. In specific implementation, the air purification device may be an air purifier, an air conditioner with an air purification function, or the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. Moreover, the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions, and while a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media that can store program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, may also be substantially a processor, and the processor has a storage function.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (9)

1. An air quality determination method, comprising:
acquiring a plurality of air index parameters;
determining the quality grouping of each air index parameter according to the quality condition of each air index parameter;
determining full scores of the air index parameters according to the good and bad grouping conditions of the air index parameters;
determining the actual score value of each air index parameter according to the full score value of each air index parameter, the quality grouping condition of each air index parameter and the quality condition of each air index parameter;
calculating the total air quality score according to the actual score values of the air index parameters;
the total air quality score is controlled and output,
determining the quality grouping of each air index parameter according to the quality condition of each air index parameter, wherein the determining comprises the following steps:
matching each air index parameter with a plurality of corresponding parameter intervals;
and determining one preset grouping in a plurality of preset groupings as a good-bad grouping in which the corresponding air index parameter is located according to the matching result of each air index parameter and the corresponding parameter intervals.
2. The air quality determination method according to claim 1,
determining the quality grouping of each air index parameter according to the quality condition of each air index parameter, wherein the determining comprises the following steps: matching each air index parameter with the corresponding three parameter intervals; determining one of a comfortable grouping, an overproof grouping or a bad grouping as a good-bad grouping of the corresponding air index parameter according to the matching result of each air index parameter and the corresponding three parameter intervals;
determining a full score value of each air index parameter according to the good and bad grouping conditions of a plurality of air index parameters, comprising the following steps: determining a full score value of each of the air index parameters in the bad group according to the number of the air index parameters in the bad group; and calculating the full score of each air index parameter in the comfort group and the standard exceeding group according to the total score and the full score of each air index parameter in the bad group.
3. The air quality determination method of claim 2, wherein determining a full score value for each of the air index parameters in the bad grouping based on the number of the air index parameters in the bad grouping comprises:
matching the number of the air indicator parameters in the bad group with a plurality of preset numbers;
determining one of a plurality of preset values as a full-scale value of each air index parameter in the bad group according to a matching result of the number of the air index parameters in the bad group and the plurality of preset numbers;
the preset quantity corresponds to the preset values one by one; as the preset number increases, the preset value corresponding thereto decreases gradually.
4. The air quality determination method according to claim 2, wherein calculating the full score value of each of the air index parameters in the comfort group and the over-standard group based on the total score value and the full score value of each of the air index parameters in the bad group comprises:
subtracting full scores of the air index parameters from the total score to calculate a residual score;
dividing the remaining score by the sum of the number of the air index parameters in the comfort group and in the out-of-limit group to calculate a full score for each of the air index parameters in the comfort group and in the out-of-limit group.
5. The air quality determination method according to claim 2, wherein determining the actual score value of each of the air index parameters according to the full score value of each of the air index parameters, the quality grouping condition of each of the air index parameters, and the quality condition of each of the air index parameters comprises:
determining an actual score value of the air indicator parameter as a full score value of the air indicator parameter if the respective air indicator parameter is in the comfort group;
determining an actual score of the air indicator parameter to be 0 if the respective air indicator parameter is in the bad group;
and under the condition that the corresponding air index parameter is in the standard exceeding grouping, determining the actual score value of the air index parameter according to the standard exceeding condition of the air index parameter and the full score value of the air index parameter.
6. The air quality determination method according to claim 5, wherein determining an actual score value of the air indicator parameter according to an out-of-compliance condition of the air indicator parameter and a full score value of the air indicator parameter in a case where the corresponding air indicator parameter is in the out-of-compliance group comprises:
calculating a proportionality coefficient K corresponding to each air index parameter in the standard-exceeding group according to a formula K = P/L, wherein P is a full score of the corresponding air index parameter, and L is an interval span of a standard-exceeding interval corresponding to the corresponding air index parameter;
according to the formula
Figure DEST_PATH_IMAGE002
And calculating to obtain the actual score value M of each air index parameter in the standard exceeding group, wherein B is the corresponding air index parameter value, and N is the endpoint value close to the corresponding standard exceeding interval of the comfort interval corresponding to the corresponding air index parameter.
7. The air quality determination method according to any one of claims 1 to 6, characterized by, after calculating an air quality total score from actual score values of a plurality of the air index parameters, further comprising:
and under the condition that the total air quality score is not in a target interval or an air optimization control signal of a user is received, controlling an air conditioner or an air purifier to work according to the actual score values of the air index parameters so as to adjust the air index parameters.
8. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the apparatus in which the non-volatile storage medium is located is controlled to perform the air quality determination method according to any one of claims 1 to 7 when the program is run.
9. An air cleaning device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the air quality determination method according to any one of claims 1 to 7 when executing the computer program.
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