CN115307273B - Defrosting control method and device based on fuzzy algorithm, air conditioner and storage medium - Google Patents
Defrosting control method and device based on fuzzy algorithm, air conditioner and storage medium Download PDFInfo
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- 238000010257 thawing Methods 0.000 title claims abstract description 200
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000012937 correction Methods 0.000 claims abstract description 72
- 238000010438 heat treatment Methods 0.000 claims abstract description 58
- 230000008859 change Effects 0.000 claims abstract description 44
- 238000004590 computer program Methods 0.000 claims description 17
- 238000004378 air conditioning Methods 0.000 description 7
- 238000011156 evaluation Methods 0.000 description 7
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/41—Defrosting; Preventing freezing
- F24F11/42—Defrosting; Preventing freezing of outdoor units
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
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Abstract
The invention discloses a defrosting control method and device based on a fuzzy algorithm, an air conditioner and a storage medium, and relates to the technical field of air conditioners. The method comprises the following steps: if the air conditioner enters a heating mode, acquiring a temperature difference between the indoor environment temperature and the target heating temperature and a temperature change rate of the indoor environment; determining a defrosting correction value by a fuzzy algorithm according to the temperature difference and the temperature change rate; correcting a preset defrosting threshold according to the defrosting correction value; and controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value. According to the invention, the judgment threshold value for entering defrosting can be corrected by utilizing a fuzzy algorithm according to the actual operation condition and the user requirement, so that the comfort of the user is ensured by the air conditioner, defrosting is reduced as much as possible when the air conditioner heat capacity meets the requirement, and indoor temperature drop caused by defrosting is avoided, thereby effectively improving the comfort of air conditioner heat.
Description
Technical Field
The embodiment of the invention relates to the technical field of air conditioners, in particular to a defrosting control method and device based on a fuzzy algorithm, an air conditioner and a storage medium.
Background
At present, an air conditioner with a heating function is faced to an environment with low air temperature, when the air conditioner heats, frosting phenomenon is easy to occur, frosting can obstruct the heat exchange process of an outdoor heat exchanger, the performance of the air conditioner is affected, and defrosting operation is often needed. And when defrosting, the heating function of the indoor unit is affected, so that the indoor temperature is reduced, and the comfort is affected, so that the control of defrosting has a great influence on the heat comfort of the air conditioner, and the method is a popular direction of research.
The existing defrosting control logic is numerous, but two ideas are available in the whole, one is to evaluate the frost layer of the external machine according to the temperature of the outdoor coil, the temperature of the outdoor environment and the running time, and then judge whether to defrost according to the thickness of the frost layer; the other is judged according to the capacity fading condition of the indoor unit. Both of these two ways are essentially judged from the running state of the air conditioner itself, and the purpose of optimizing the running performance of the air conditioner itself is to determine whether to enter defrosting only depends on the air conditioner itself, and the actual heating requirement of the user is not taken into consideration, which may occur that although the heating capability meets the requirement of the user, the defrosting is still entered due to a thicker frost layer, and instead, the comfort is destroyed.
Disclosure of Invention
The embodiment of the invention provides a defrosting control method and device based on a fuzzy algorithm, an air conditioner and a storage medium, and aims to solve the problem that the comfort of a user is affected because the user demand is not considered in the existing control mode of entering defrosting of the air conditioner.
In a first aspect, an embodiment of the present invention provides a defrosting control method based on a fuzzy algorithm, including:
if the air conditioner enters a heating mode, acquiring a temperature difference between the indoor environment temperature and the target heating temperature and a temperature change rate of the indoor environment;
determining a defrosting correction value by a fuzzy algorithm according to the temperature difference and the temperature change rate;
correcting a preset defrosting threshold according to the defrosting correction value;
and controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value.
In a second aspect, an embodiment of the present invention further provides a defrosting control device based on a fuzzy algorithm, including:
the acquisition unit is used for acquiring the temperature difference between the indoor environment temperature and the target heating temperature and the temperature change rate of the indoor environment if the air conditioner enters a heating mode;
a blurring unit for determining a defrosting correction value by using a blurring algorithm according to the temperature difference and the temperature change rate;
the correction unit is used for correcting the preset defrosting threshold according to the defrosting correction value;
And the defrosting unit is used for controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value.
In a third aspect, an embodiment of the present invention further provides an air conditioner, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the above method when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the above method.
The embodiment of the invention provides a defrosting control method and device based on a fuzzy algorithm, an air conditioner and a storage medium. Wherein the method comprises the following steps: if the air conditioner enters a heating mode, acquiring a temperature difference between the indoor environment temperature and the target heating temperature and a temperature change rate of the indoor environment; determining a defrosting correction value by a fuzzy algorithm according to the temperature difference and the temperature change rate; correcting a preset defrosting threshold according to the defrosting correction value; and controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value. According to the embodiment of the invention, the temperature difference and the temperature change rate of the indoor environment related to the user body feeling are obtained, the temperature difference and the temperature change rate are subjected to fuzzification operation, the sufficient degree of the heating capacity of the air conditioner is evaluated by utilizing a fuzzification algorithm to obtain the defrosting correction value, the preset defrosting threshold value is corrected by the defrosting correction value, and the air conditioner is controlled to execute defrosting according to the corrected defrosting threshold value, so that the corrected defrosting threshold value can be closer to the actual heating requirement of the user, the comfort of the user is placed at the first place, defrosting is reduced as much as possible when the air conditioning heating capacity meets the requirement, and indoor temperature drop caused by defrosting is avoided, thereby effectively improving the comfort of air conditioning heating.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a defrosting control method based on a fuzzy algorithm according to an embodiment of the present invention;
fig. 2 is a schematic sub-flowchart of a defrosting control method based on a fuzzy algorithm according to an embodiment of the present invention;
fig. 3 is a schematic sub-flowchart of a defrosting control method based on a fuzzy algorithm according to an embodiment of the present invention;
Fig. 4 is a schematic flow chart of a defrosting control method based on a fuzzy algorithm according to another embodiment of the present invention;
fig. 5 is a schematic sub-flowchart of a defrosting control method based on a fuzzy algorithm according to an embodiment of the present invention;
Fig. 6 is a schematic flow chart of a defrosting control method based on a fuzzy algorithm according to another embodiment of the present invention;
fig. 7 is a schematic block diagram of a defrosting control device based on a fuzzy algorithm according to an embodiment of the present invention;
fig. 8 is a schematic block diagram of an air conditioner according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Referring to fig. 1, fig. 1 is a flow chart of a defrosting control method based on a fuzzy algorithm according to an embodiment of the invention. The defrosting control method based on the fuzzy algorithm is described in detail below. As shown in fig. 1, the method includes the following steps S110 to S140.
S110, if the air conditioner enters a heating mode, acquiring the temperature difference between the indoor environment temperature and the target heating temperature and the temperature change rate of the indoor environment.
In this embodiment, the heating mode refers to a mode in which the temperature set by the air conditioner is a high temperature for increasing the indoor ambient temperature, and is generally used in cold weather. The indoor environment temperature is the temperature of the environment where the indoor unit of the air conditioner is located, and is acquired through a temperature sensor. The target heating temperature is a heating temperature that the user wants to reach and is set by the remote controller, and it is understood that the target heating temperature may be a heating temperature set by a mobile phone or other controllers. The temperature difference between the indoor ambient temperature and the target heating temperature is determined after the indoor ambient temperature and the target heating temperature are obtained, for example, the indoor ambient temperature is 5 ℃, the target heating temperature is 26 ℃, and then the temperature difference is 21 ℃. The rate of change of the temperature of the indoor environment refers to the rate at which the indoor temperature changes over a period of time. For example, if the indoor environment temperature is raised from 10 ℃ to 20 ℃ within ten minutes, the temperature change rate is 1 ℃/min. When the air conditioner enters the heating mode, the outdoor environment is cold, so that the outdoor unit may frost at any time, and therefore, the two parameters of the temperature difference and the temperature change rate are immediately acquired after the air conditioner enters the heating mode and are used for the subsequent calculation of the fuzzy algorithm so as to adjust the preset defrosting threshold at any time.
S120, determining a defrosting correction value by using a fuzzy algorithm according to the temperature difference and the temperature change rate.
The fuzzy algorithm processes data and builds a fuzzy mathematical model through analysis of real objects. Through analysis of the real object, the data is processed and a fuzzy mathematical model is constructed. The membership is used for flexibly forming a data element set into a fuzzy set, a membership function is determined, fuzzy statistics is carried out according to experiences and psychological processes of people, the fuzzy statistics is often carried out through psychological measurement, and the fuzzy nature of things is researched.
In this embodiment, the defrosting correction value refers to an adjustment value for adjusting the defrosting threshold value, and is used for adjusting the defrosting threshold value up or down, so that it is easier or more difficult for the air conditioner to enter defrosting. The temperature difference and the temperature change rate can be used for judging whether the heating capacity of the air conditioner is sufficient or not, and in the normal case, the larger the temperature change rate is, the stronger the heating capacity of the air conditioner is; conversely, the slower the temperature change rate, the weaker the heating capacity of the air conditioner. The greater the temperature difference, the greater the heating capacity demand level of the air conditioner; conversely, the smaller the temperature difference, the smaller the heating capacity demand of the air conditioner. Therefore, based on the temperature difference and the temperature change rate, the sufficient degree of the air conditioner heating capacity can be determined by using a fuzzy algorithm, and then the preset defrosting threshold value is corrected according to the sufficient degree of the air conditioner heating capacity.
In one embodiment, as shown in fig. 2, the step S120 includes: S121-S124.
S121, determining the membership degree of the temperature difference by using a preset first membership degree table according to the temperature difference.
S122, determining the membership degree of the temperature change rate by using a preset second membership degree table according to the temperature change rate.
S123, determining a fuzzy result of the heating capacity sufficiency degree by utilizing a preset fuzzy rule table according to the temperature difference membership degree and the temperature change rate membership degree.
S124, deblurring the blurred result to obtain a defrosting correction value.
Specifically, as shown in tables 1 and 2 and table 3, table 1 is a first membership table, table 2 is a second membership table, and table 3 is a fuzzy rule table.
TABLE 1 first membership table
TABLE 2 second membership table
TABLE 3 fuzzy rule TABLE
In this embodiment, the first membership table includes capability ratings and score values, where the capability ratings include five dimensions, specifically NB/NS/ZO/PS/PB, respectively represent the temperature differences "large", "medium", "small". The score value also comprises five intervals, which are respectively delta T less than or equal to 1;1 delta T is less than or equal to 2;2 delta T is less than or equal to 3; the delta T is less than or equal to 4 and 3; 4 delta T is less than or equal to 5; deltaT >5, deltaT is also the temperature difference. The first membership degree table is preset, and the first membership degree is used for carrying out fuzzification treatment on the temperature difference.
In this embodiment, the second membership table also includes capability ratings and score values, wherein the capability ratings include five dimensions, specifically NB/NS/ZO/PS/PB, respectively represent the temperature change speeds "slow", "medium", "fast". The score value also comprises five intervals, and v is less than or equal to 0.1 respectively; v is more than 0.1 and less than or equal to 0.2; v is less than or equal to 0.2 and less than or equal to 0.3; v is less than or equal to 0.3 and less than or equal to 0.4; v is less than or equal to 0.5 and is more than or equal to 0.4; v >0.5, v is also the rate of temperature change. The second membership degree table is preset, and the second membership degree is used for carrying out fuzzification treatment on the temperature change rate.
In this embodiment, the fuzzy rule table also includes a capability rating, wherein the capability rating includes five dimensions, specifically NB/NS/ZO/PS/PB, respectively representing capability "very insufficient", "moderate", "sufficient", "very sufficient".
The calculation process of the fuzzy algorithm will be described below by way of example in conjunction with tables 1, 2 and 3.
Illustratively, when the temperature difference DeltaT is 2℃and the temperature change v is 0.15℃per minute.
Table 1 gives the evaluation of the temperature difference NB/NS/ZO/PS/PB as 0/0/0/0.8/1, respectively, so that the membership of the temperature difference after blurring is NB (very large) score 0/(0+0+0+0.8+1), NS (large) score 0/(0+0+0+0.8+1), ZO (medium) score 0/(0+0+0+0.8+1), PS (small) score 0.8/(0+0+0+0.8+1), PB (very small) score 1/(0+0+0+0.8+1).
Table 2 gives an evaluation of the temperature change rate NB/NS/ZO/PS/PB of 0.8/1/0/0/0, respectively, so that the membership of the temperature change rate after blurring is NB (very slow) score of 0.8/(0+0+0+0.8+1), NS (slow) score of 1/(0+0+0+0.8+1), ZO (medium) score of 0/(0+0+0+0.8+1), PS (fast) score of 0/(0+0+0.8+1), PB (fast) score of 0/(0+0+0+0.8+1).
The fuzzy results of sufficient degree of heating capacity were obtained according to table 3:
when Δt is PS and v is NB, the ability evaluation is NS (insufficiency), and the score is 0.8/(0+0+0+0.8+1);
when Δt is PS and v is NS, the ability evaluation is NS (insufficiency), and the score is 0.8/(0+0+0+0.8+1) 1/(0+0+0+0.8+1);
when Δt is PB and v is NB, the ability evaluation is NS (insufficiency), and the score is 1/(0+0+0+0.8+1) 0.8/(0+0+0+0.8+1);
When Δt is PB and v is NS, the ability was evaluated as ZO (moderate), and the score was 1/(0+0+0+0.8+1) x 1/(0+0+0+0.8+1).
Finally, defuzzifying is carried out according to the determined fuzzy result of the sufficient degree of the heating capacity of the air conditioner, so that a defrosting correction value is obtained, wherein the defrosting correction value is a temperature value, for example, 0/1/2/4/6 ℃. In practice, the blurring algorithm adopted in the implementation firstly carries out blurring processing on the temperature difference and the temperature change rate with specific numerical values to obtain a blurring result with sufficient air conditioning capacity, and then deblurs the blurring result to obtain a defrosting correction value with specific numerical values, so that the defrosting correction value with specific numerical values can be used for correcting the preset defrosting threshold.
In one embodiment, as shown in fig. 3, the step S124 includes: S1241-S1242.
S1241, a preset correction parameter corresponding to the capability rating of the fuzzy result is acquired.
S1242, determining a defrosting correction value according to the preset correction parameter and the score value of the fuzzy result.
In this embodiment, the preset correction parameter refers to a correction coefficient that is proportional to the air-conditioning heating capacity sufficiency, that is, the higher the air-conditioning heating capacity sufficiency is, the higher the correction coefficient is; the lower the sufficiency of the air conditioning heat capacity, the lower its correction coefficient. The preset correction parameters specifically correspond to the capability ratings one by one, that is, each capability rating corresponds to one preset correction parameter, for example, when the capability ratings are "very insufficient", "moderate", "sufficient", "very sufficient", the corresponding preset correction parameters are 0/1/2/4/6 ℃ respectively. Then, after the fuzzy result is obtained, based on the capability evaluation of the fuzzy result, a preset correction parameter corresponding to the capability evaluation of the fuzzy result can be obtained. After the preset correction parameters are obtained, calculating according to the obtained preset correction parameters and the score value of the fuzzy result, and finally obtaining the defrosting correction value.
Illustratively, a calculation process of determining the defrosting correction value based on the blurring result is described next to the above example.
According to the corresponding relation between the capability rating and the preset correction parameter, the correction parameter is 1 ℃ when the capability is NS, and 2 ℃ when the capability is ZO, so that the final correction value is 1*0.8/(0+0+0+0.8+1)*0.8/(0+0+0+0.8+1)+1*0.8/(0+0+0+0.8+1)*1/(0+0+0+0.8+1)+1*1/(0+0+0+0.8+1)*0.8/(0+0+0+0.8+1)+2*1/(0+0+0+0.8+1)*1/(0+0+0+0.8+1)＝1.3(, and the final correction value is rounded off to be one decimal). The preset defrosting threshold value is subtracted by 1.3 ℃ on the basis of a default value, and at the moment, the temperature of the air conditioner outer pipe is slightly difficult to reach the defrosting judgment threshold value, so that defrosting is slightly delayed.
Therefore, according to the embodiment, the fuzzy algorithm is utilized to judge the sufficiency degree of the capacity according to the temperature difference and the temperature change rate, if the threshold value for entering defrosting is increased, defrosting is more difficult to enter, if the threshold value for judging defrosting is insufficient, defrosting is easier to conduct, and therefore the capacity is guaranteed to be in a higher level.
In an embodiment, as shown in fig. 4, before the step S130, the method further includes: S1301-S1302.
S1301, acquiring the outdoor environment temperature.
S1302, determining a corresponding running time threshold and a preset defrosting threshold according to the outdoor environment temperature.
In this embodiment, the preset defrosting threshold refers to a preset threshold for the air conditioner to enter a defrosting mode, which is indicated by a temperature, and is actually set based on the temperature of the outdoor coil. After the air conditioner enters a heating mode, the outdoor environment temperature is immediately acquired, and the outdoor environment temperature is also acquired through a temperature sensor. Air conditioners typically perform a defrosting determination based on an outdoor ambient temperature, and generally, the lower the outdoor ambient temperature, the faster and the higher the outdoor ambient temperature, the slower the defrosting. That is, different outdoor ambient temperatures have different corresponding defrosting thresholds. Therefore, in this embodiment, by presetting the correspondence between the outdoor environment temperature and the preset defrosting threshold, for example, when the outdoor environment temperature is 3 degrees celsius, the corresponding preset defrosting threshold is 0 degrees celsius, and then the preset defrosting threshold can be obtained based on the correspondence or mapping relationship between the outdoor environment temperature and the preset defrosting threshold. The run time threshold value is a threshold value of the duration of the air conditioning heating mode operation. When the air conditioner is operated for a period of time, for example, 30 minutes, the outdoor unit is prone to frost formation, and therefore, the operation time threshold is used to estimate whether frost formation is occurring.
S130, correcting the preset defrosting threshold according to the defrosting correction value.
In this embodiment, after the defrosting correction value is obtained, the defrosting correction value is added to or subtracted from the preset defrosting threshold value, so as to perform correction, and the defrosting threshold value after correction is obtained. For example, the defrosting correction value is 2 ℃, the preset defrosting threshold value is 3 ℃, and then the defrosting threshold value after the correction is 3 ℃ -2 ℃ =1 ℃. For example, the defrosting correction value is-2 ℃, the preset defrosting threshold value is 3 ℃, and then the defrosting threshold value after the correction is 3 ℃ +2 ℃ =5 ℃.
And S140, controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value.
In this embodiment, controlling the air conditioner to enter the defrosting mode specifically includes controlling an operation state of at least one of the compressor, the four-way valve, the electronic expansion valve, the inner fan, and the outer fan to perform defrosting. For example, the defrosting function may be performed by controlling only one component, or may be performed by controlling two components, three components, or the like, which is not limited herein. The air conditioner of the embodiment mainly relates to the control of parts such as an external machine main board, an internal machine main board, a temperature sensing bag, a compressor and the like. The temperature sensing bag connected with the main board of the inner machine is used for acquiring indoor environment temperature, and then the main board of the inner machine inputs the indoor environment temperature into the outer machine through the communication module. An outer ring temperature sensing bulb connected with the main board of the outer machine acquires the outdoor environment temperature. The external machine main board mainly comprises a communication module and a data acquisition module, wherein the communication module and the data acquisition module are mainly used for acquiring related data. And after the corrected defrosting threshold value is obtained, taking the corrected defrosting threshold value as a judging condition for entering defrosting, and further controlling the defrosting of the air conditioner.
In one embodiment, as shown in fig. 5, the step S140 includes: S141-S144.
S141, acquiring the current running time and the current outdoor coil temperature;
S142, judging whether the current running time reaches a running time threshold value or not;
s143, judging whether the current outdoor coil temperature is less than the defrosting threshold after correction if the current running time reaches the running time threshold;
s144, if the current outdoor coil temperature is smaller than the defrosting threshold after correction, controlling the air conditioner to enter a defrosting mode.
In this embodiment, the determination of the entering defrost is made using the run time and the outdoor coil temperature. The current operation time refers to the duration of the air conditioner on heating mode. The outdoor coil temperature is also obtained by a temperature sensor. The main process is that after the air conditioner heating time is longer than the running time threshold, whether the outdoor coil temperature is smaller than the corrected defrosting threshold is judged, if yes, defrosting is carried out, and if not, the heating running is continued.
In an embodiment, as shown in fig. 6, after the step S140, the method further includes: s150.
S150, reducing the corrected defrosting threshold value to a preset defrosting threshold value.
In this embodiment, after the air conditioner performs defrosting, the corrected defrosting threshold value needs to be restored again. Because the specific time of the defrosting threshold after correction is determined according to the actual working condition at the time, and when the air conditioner is used next time, the working condition and the environment are changed, different from the working condition when the air conditioner is used last time, if the defrosting threshold of the last time is continuously reserved, the situation that defrosting is advanced or delayed is caused, and the comfort experience of a user is affected. Therefore, after each time of defrosting, the air conditioner needs to restore the defrosting threshold to the original preset defrosting threshold determined according to the outdoor environment temperature, so that the defrosting stability is ensured.
If the defrosting condition is not satisfied, continuing to circulate the process of S110-S140, if the defrosting condition is satisfied, performing defrosting, and finally, restoring the defrosting threshold to a default value (preset defrosting threshold).
In summary, the main idea of the embodiment of the invention is as follows: when the air conditioner is in normal heating operation, whether the capacity of the air conditioner is sufficient at the moment is judged by utilizing a fuzzy algorithm according to the temperature difference between the target temperature and the actual indoor environment temperature and the indoor environment temperature change rate, and then the defrosting threshold value for judging entering defrosting is corrected according to the sufficiency. The more sufficient the capacity is, the more difficult the temperature threshold of the outdoor coil pipe entering defrosting is judged to be reached, and the air conditioner performs defrosting less, so that indoor temperature drop caused by defrosting is avoided; if the capacity is insufficient, the original defrosting threshold value is not changed, and the air conditioner is defrosted, so that the air conditioner is ensured to have enough capacity to reach the set temperature.
In summary, the air conditioner of the embodiment corrects the judgment threshold value of entering defrosting by using the fuzzy algorithm according to the heating requirement of a user during the heating period of the air conditioner, thereby changing the difficulty of entering defrosting, minimizing defrosting when the heating quantity meets the requirement, avoiding indoor temperature drop caused by defrosting, and preferentially ensuring the heating comfort of the air conditioner.
Fig. 7 is a schematic block diagram of a defrosting control 200 based on a fuzzy algorithm according to an embodiment of the present invention. As shown in fig. 7, the present invention further provides a defrosting control device 200 based on the fuzzy algorithm, corresponding to the above defrosting control method based on the fuzzy algorithm. The fuzzy algorithm-based defrosting control device 200 includes a unit for performing the above-described fuzzy algorithm-based defrosting control method, which can be configured in an air conditioner. Specifically, referring to fig. 7, the defrosting control device 200 based on the fuzzy algorithm includes an acquisition unit 201, a fuzzy unit 202, a correction unit 203, and a defrosting unit 204.
Wherein, the obtaining unit 201 is configured to obtain a temperature difference between an indoor environment temperature and a target heating temperature and a temperature change rate of the indoor environment if the air conditioner enters a heating mode; a blurring unit 202 for determining a defrosting correction value by a blurring algorithm according to the temperature difference and the temperature change rate; a correction unit 203, configured to correct a preset defrosting threshold according to the defrosting correction value; and a defrosting unit 204 for controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold.
In some embodiments, for example, the second control unit 204 includes a first determining unit, a second determining unit, a third determining unit, and a defuzzification unit.
The first determining unit is used for determining the temperature difference membership degree by utilizing a preset first membership degree table according to the temperature difference; a second determining unit, configured to determine a temperature change rate membership degree according to the temperature change rate by using a preset second membership degree table; a third determining unit, configured to determine a fuzzy result of a sufficient degree of heating capability according to the temperature difference membership degree and the temperature change rate membership degree by using a preset fuzzy rule table; and the defuzzification unit is used for defuzzifying the fuzzy result to obtain a defrosting correction value.
In some embodiments, for example, the deblurring unit includes a first acquisition subunit and a fourth determination unit.
The first acquisition subunit is used for acquiring preset correction parameters corresponding to the capability ratings of the fuzzy results; and a fourth determining unit, configured to determine a defrosting correction value according to the preset correction parameter and the score value of the fuzzy result.
In some embodiments, for example, in this embodiment, the defrosting control device 200 based on the fuzzy algorithm further includes a second obtaining subunit and a fifth determining unit.
The second acquisition subunit is used for acquiring outdoor environment temperature; and a fifth determining unit, configured to determine a corresponding running time threshold and a preset defrosting threshold according to the outdoor environment temperature.
In some embodiments, for example, in the present embodiment, the defrosting unit 204 includes a third acquiring subunit, a first judging unit, a second judging unit, and a control unit.
The third acquisition subunit is used for acquiring the current running time and the current outdoor coil temperature; the first judging unit is used for judging whether the current running time reaches a running time threshold value or not; the second judging unit is used for judging whether the current outdoor coil temperature is smaller than the defrosting threshold after correction if the current running time reaches the running time threshold; and the control unit is used for controlling the air conditioner to enter a defrosting mode if the current outdoor coil temperature is smaller than the defrosting threshold after correction.
In some embodiments, for example, the defrosting control device 200 based on the fuzzy algorithm further includes a restoration unit.
The restoration unit is used for restoring the corrected defrosting threshold value to a preset defrosting threshold value.
In some embodiments, such as the present embodiment, the defrosting unit 204 includes an operation unit.
The operation unit is used for controlling the operation state of at least one of the compressor, the four-way valve, the electronic expansion valve, the inner fan and the outer fan so as to execute defrosting.
The above-described defrosting control device based on the fuzzy algorithm may be implemented in the form of a computer program that can be run on an air conditioner as shown in fig. 8.
Referring to fig. 8, fig. 8 is a schematic block diagram of an air conditioner according to an embodiment of the present invention. The air conditioner 300 is a server.
Referring to fig. 8, the air conditioner 300 includes a processor 302, a memory, and a network interface 305, which are connected through a system bus 301, wherein the memory may include a non-volatile storage medium 303 and an internal memory 304.
The non-volatile storage medium 303 may store an operating system 3031 and a computer program 3032. The computer program 3032, when executed, may cause the processor 302 to perform a defrosting control method based on a fuzzy algorithm.
The processor 302 is used to provide computing and control capabilities to support the operation of the overall air conditioner 300.
The internal memory 304 provides an environment for the execution of a computer program 3032 in the non-volatile storage medium 303, which computer program 3032, when executed by the processor 302, causes the processor 302 to perform a defrosting control method based on a fuzzy algorithm.
The network interface 305 is used for network communication with other devices. It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of a portion of the structure associated with the present invention and is not intended to limit the air conditioner 300 to which the present invention is applied, and that a particular air conditioner 300 may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.
Wherein the processor 302 is configured to execute a computer program 3032 stored in a memory to implement any embodiment of the above-described defrosting control method based on a fuzzy algorithm.
It should be appreciated that in embodiments of the present invention, the processor 302 may be a Central processing unit (Central ProcessingUnit, CPU), the processor 302 may also be other general purpose processors, digital signal processors (DigitalSignalProcessor, DSP), application specific integrated circuits (ApplicationSpecificIntegrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammableGateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program may be stored in a storage medium that is a computer readable storage medium. The computer program is executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program. The computer program, when executed by a processor, causes the processor to perform any of the embodiments of the above-described blur algorithm-based defrost control method.
The storage medium may be a U-disk, a removable hard disk, a Read-only memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that may store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or partly contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing an air conditioner to perform all or part of the steps of the method according to the embodiments of the present invention.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The defrosting control method based on the fuzzy algorithm is characterized by comprising the following steps of:
if the air conditioner enters a heating mode, acquiring a temperature difference between the indoor environment temperature and the target heating temperature and a temperature change rate of the indoor environment;
determining a defrosting correction value by a fuzzy algorithm according to the temperature difference and the temperature change rate;
correcting a preset defrosting threshold according to the defrosting correction value, wherein the preset defrosting threshold is a preset threshold for entering a defrosting mode of the air conditioner;
And controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value.
2. The method of claim 1, wherein the step of determining a defrosting correction value using a blurring algorithm based on the temperature difference and the temperature change rate comprises:
determining a temperature difference membership degree by using a preset first membership degree table according to the temperature difference;
determining the membership degree of the temperature change rate by using a preset second membership degree table according to the temperature change rate;
determining a fuzzy result of the heating capacity sufficiency degree by utilizing a preset fuzzy rule table according to the temperature difference membership degree and the temperature change rate membership degree;
and deblurring the fuzzy result to obtain a defrosting correction value.
3. The method of claim 2, wherein the fuzzy result includes a capability rating and a score value, and the step of defuzzifying the fuzzy result to obtain a defrost correction value comprises:
Acquiring preset correction parameters corresponding to the capability ratings of the fuzzy results;
and determining a defrosting correction value according to the preset correction parameter and the score value of the fuzzy result.
4. The method of claim 1, wherein prior to the step of correcting the preset defrosting threshold value according to the defrosting correction value, further comprising:
Acquiring outdoor environment temperature;
And determining a corresponding running time threshold value and a preset defrosting threshold value according to the outdoor environment temperature.
5. The method of claim 4, wherein the step of controlling the air conditioner to enter a defrost mode based on the modified defrost threshold comprises:
acquiring the current running time and the current outdoor coil temperature;
Judging whether the current running time reaches a running time threshold value or not;
if the current running time reaches the running time threshold, judging whether the current outdoor coil temperature is smaller than the defrosting threshold after correction;
And if the current outdoor coil temperature is smaller than the corrected defrosting threshold value, controlling the air conditioner to enter a defrosting mode.
6. The method of claim 1, wherein after the step of controlling the air conditioner to enter a defrost mode based on the corrected defrost threshold, further comprising:
and restoring the corrected defrosting threshold value to a preset defrosting threshold value.
7. The method of claim 1, wherein the step of controlling the air conditioner to enter a defrost mode based on the modified defrost threshold comprises:
And controlling the running state of at least one of the compressor, the four-way valve, the electronic expansion valve, the inner fan and the outer fan to execute defrosting.
8. A defrosting control device based on a fuzzy algorithm, characterized by comprising:
the acquisition unit is used for acquiring the temperature difference between the indoor environment temperature and the target heating temperature and the temperature change rate of the indoor environment if the air conditioner enters a heating mode;
a blurring unit for determining a defrosting correction value by using a blurring algorithm according to the temperature difference and the temperature change rate;
The correction unit is used for correcting a preset defrosting threshold according to the defrosting correction value, wherein the preset defrosting threshold is a preset threshold for the air conditioner to enter a defrosting mode;
and the defrosting unit is used for controlling the air conditioner to enter a defrosting mode based on the corrected defrosting threshold value.
9. An air conditioner comprising a memory and a processor, the memory having a computer program stored thereon, the processor implementing the method of any of claims 1-7 when executing the computer program.
10. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method according to any of claims 1-7.
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