CN112484260A - Humidity control method, humidity control device, electronic equipment and storage medium - Google Patents
Humidity control method, humidity control device, electronic equipment and storage medium Download PDFInfo
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/048—Fuzzy inferencing
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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
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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
- F24F2110/20—Humidity
Abstract
The application relates to a humidity control method, a humidity control device, electronic equipment and a storage medium, which are applied to the technical field of smart home, wherein the method comprises the following steps: acquiring a humidity request, wherein the humidity request comprises a temperature set value and a humidity set gear; determining a temperature fuzzy value corresponding to a temperature set value and a humidity fuzzy value corresponding to a humidity set gear; carrying out fuzzy reasoning according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value; resolving the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request; calculating a humidity control value according to the humidity adjustment value; and controlling the humidity control device to operate at the humidity control value. The problem that in the prior art, indoor humidity changes along with changes of ambient temperature or other parameters, so that the indoor humidity is inconsistent with humidity set by a user, and the humidity request of the user cannot be met is solved.
Description
Technical Field
The application relates to the technical field of smart home, in particular to a humidity control method and device, electronic equipment and a storage medium.
Background
With the increasing demands of people on living levels and the development of technologies, more and more air conditioners are beginning to have the function of humidity control.
However, the existing humidity control method mainly determines an optimal humidity setting step according to the indoor temperature, or directly sets the humidity setting step manually by the user. When the air conditioner actually operates, the indoor humidity changes along with the change of the ambient temperature or other parameters, so that the indoor humidity is inconsistent with the humidity set by the user, and the humidity request of the user cannot be met.
Disclosure of Invention
The application provides a humidity control method, a humidity control device, electronic equipment and a storage medium, which are used for solving the problems that in the prior art, the indoor humidity can be changed along with the change of ambient temperature or other parameters, so that the indoor humidity is inconsistent with the humidity set by a user, and the humidity request of the user cannot be met.
In a first aspect, an embodiment of the present application provides a humidity control method, including:
acquiring a humidity request, wherein the humidity request comprises a temperature set value and a humidity set gear;
determining a temperature fuzzy value corresponding to the temperature set value and a humidity fuzzy value corresponding to the humidity set gear;
carrying out fuzzy reasoning according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value;
performing deblurring on the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request;
calculating a humidity control value according to the humidity adjustment value;
and controlling the humidity control device to operate at the humidity control value.
Optionally, the determining the temperature fuzzy value corresponding to the temperature setting value includes:
acquiring a preset temperature fuzzy domain and a preset quantization factor;
determining the temperature ambiguity value according to the temperature setting value and the quantization factor, wherein the temperature ambiguity value is contained in the temperature ambiguity domain.
Optionally, the obtaining the quantization factor includes:
acquiring a preset temperature discourse domain and the temperature fuzzy discourse domain;
and calculating the quantization factor according to the first element in the temperature theory domain and the second element in the temperature ambiguity domain.
Optionally, performing fuzzy inference according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value, including:
acquiring a pre-constructed fuzzy control table;
determining an initial temperature language fuzzy value corresponding to the temperature fuzzy value in the fuzzy control table, and an initial membership degree corresponding to the initial temperature language fuzzy value;
determining a target temperature language fuzzy value corresponding to the humidity fuzzy value and the initial temperature language fuzzy value in the fuzzy control table;
and taking the target temperature language fuzzy value and the initial membership degree as the fuzzy output value.
Optionally, the deblurring the blurred output value to obtain a humidity adjustment value corresponding to the humidity request includes:
acquiring a target temperature fuzzy solution of the target temperature language fuzzy value;
determining the weight corresponding to the target temperature language fuzzy value according to the initial membership degree;
and calculating to obtain the humidity adjustment value according to the target temperature fuzzy solution and the weight.
Optionally, the process of constructing the fuzzy control table includes:
acquiring a preset temperature language ambiguity domain and a preset temperature ambiguity domain, wherein the temperature language ambiguity domain comprises at least one temperature language ambiguity value, and the temperature ambiguity domain comprises at least one temperature ambiguity value;
acquiring temperature membership degrees corresponding to the temperature language fuzzy values and the temperature fuzzy values;
acquiring a preset humidity fuzzy domain, wherein the humidity fuzzy domain comprises the humidity fuzzy value;
and constructing the fuzzy control table according to the temperature fuzzy value, the temperature language fuzzy value, the temperature membership degree and the humidity fuzzy value.
Optionally, the obtaining of the temperature membership corresponding to each of the temperature language fuzzy values and the temperature fuzzy values includes:
acquiring a membership function;
calculating according to the membership function to obtain an original membership;
determining a degree of association of the original membership with each of the temperature linguistic fuzzy values and each of the temperature fuzzy value combinations;
and configuring the original membership degrees at positions corresponding to the combinations according to the association degrees to obtain the temperature membership degrees corresponding to the temperature language fuzzy values and the temperature fuzzy values.
In a second aspect, an embodiment of the present application provides a humidity control apparatus, including:
the system comprises an acquisition module, a judgment module and a control module, wherein the acquisition module is used for acquiring a humidity request, and the humidity request comprises a temperature set value and a humidity set gear;
the determining module is used for determining a temperature fuzzy value corresponding to the temperature set value and a humidity fuzzy value corresponding to the humidity set gear;
the fuzzy inference module is used for carrying out fuzzy inference according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value;
the ambiguity resolution module is used for resolving ambiguity of the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request;
the calculation module is used for calculating a humidity control value according to the humidity adjustment value;
and the control module is used for controlling the humidity control device to operate according to the humidity control value.
In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory for storing a computer program;
the processor is configured to execute the program stored in the memory to implement the humidity control method according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the humidity control method according to the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: according to the method provided by the embodiment of the application, a humidity request is obtained, and the humidity request comprises a temperature set value and a humidity set gear; determining a temperature fuzzy value corresponding to a temperature set value and a humidity fuzzy value corresponding to a humidity set gear; carrying out fuzzy reasoning according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value; resolving the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request; calculating a humidity control value according to the humidity adjustment value; and controlling the humidity control device to operate at the humidity control value. Therefore, fuzzy reasoning and fuzzy solution are carried out according to the set temperature of the user and the fuzzy requirement on the humidity, and the optimal humidity control value is calculated, so that the comfort of the humidity control device is improved. In addition, the optimal humidity set value can be determined according to the fuzzy requirement of the user on the premise of not increasing the cost, so that the comfort of the user is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a block diagram of a humidity control system provided in one embodiment of the present application;
FIG. 2 is a flow chart of a humidity control method according to an embodiment of the present application;
FIG. 3 is a flow chart of a humidity control method according to another embodiment of the present application;
FIG. 4 is a flow chart of a humidity control method according to another embodiment of the present application;
FIG. 5 is a flow chart of a humidity control method according to another embodiment of the present application;
FIG. 6 is a block diagram of a humidity control device according to an embodiment of the present application;
fig. 7 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
The humidity control method provided by the embodiment of the application can be applied to a humidity control system, wherein as shown in fig. 1, the humidity control system includes a human-computer interaction device 101, a controller 102, and a humidity control device 103, a user of the human-computer interaction device obtains a humidity requirement of the user, the controller is used for executing the humidity control method, and the humidity control device is used for performing humidity control according to a humidity control value.
It is understood that the humidity control system can be applied to any humidity control device, such as a humidifier, an air conditioner, etc., and the following embodiments are specifically described by taking the air conditioner as an example.
An embodiment of the present application provides a humidity control method, which may be applied to any form of electronic devices, such as a terminal and a server. As shown in fig. 2, the humidity control method includes:
In some embodiments, the humidity request may be sent by a user via a remote control or other control; if the user does not set, the air conditioner can also determine the set temperature according to the automatic operation logic and set the humidity set gear to be moderate.
In some embodiments, after the humidity requirement is determined, the humidity value required to be set by the air conditioner can be further determined by means of fuzzy control.
The humidity fuzzy value corresponding to the humidity setting gear is determined, and the humidity setting gear can be compared with elements in a humidity fuzzy theory domain. For example, the humidity ambiguity domain is { NB (dry), NS (dry), ZO (moderate), PS (wet), PB (wet) }, and the humidity setting step can be any one of { NB (low), NS (low wet), ZO (general), PS (high wet), PB (high) }, and after the humidity setting step is obtained, the humidity setting step can be compared with elements in the humidity ambiguity domain to determine the humidity ambiguity value.
Specifically, determining a temperature fuzzy value corresponding to the temperature set value specifically includes:
and 301, acquiring a preset temperature ambiguity domain and a preset quantization factor.
In some embodiments, the temperature ambiguity domain can be set by the developer based on the actual situation, for example, the temperature ambiguity domain is set to { -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5 }.
Wherein, the quantization factor can be obtained by the following steps:
acquiring a preset temperature discourse domain and a preset temperature fuzzy discourse domain; and calculating to obtain a quantization factor according to the first element in the temperature theory domain and the second element in the temperature ambiguity domain.
The temperature domain may be a temperature operation range of the air conditioner, or may be set by a developer according to an actual situation, for example, a preset temperature domain is [16, 30], and after the temperature domain and the temperature fuzzy domain are determined, the quantization factor may be calculated by using elements in the two domains.
Specifically, the maximum and minimum values in the temperature domain can be extracted, taking the above example as an example, to obtain 16 and 30; extracting the maximum value and the minimum value in the temperature ambiguity domain to obtain-5 and 5, determining two points (16, -5) and (5, 30) according to the extraction result, and determining a straight line by the two points to obtain the formula (1):
where x represents the temperature set point and y represents the temperature fuzzy value. The constant in the above equation (1) is used as a quantization factor to further calculate the temperature blur value.
In some embodiments, after the quantization factor is determined, the temperature setpoint can be substituted into equation (1) above to obtain the temperature ambiguity value. It is to be understood that, when the calculated result is not an element in the temperature ambiguity domain, the obtained result may be rounded (rounded) and the rounded result may be used as the temperature ambiguity value of the temperature setting value, and when the element in the temperature ambiguity domain is not an integer, the element having the smallest difference between the calculated result and the element in the temperature ambiguity domain may be used as the temperature ambiguity value of the temperature setting value.
And 203, carrying out fuzzy reasoning according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value.
In some embodiments, a fuzzy control mode is adopted, and inference is performed according to the obtained temperature fuzzy value and the humidity fuzzy value to determine a fuzzy output value.
Step 203 specifically includes:
Specifically, the construction process of the fuzzy control table comprises the following steps:
In some embodiments, the temperature language ambiguity field can be set by the developer according to the actual situation, for example, the temperature language ambiguity field can be set to { NB (very low), NS (low), ZO (medium), PS (high), PB (very high) }, wherein the temperature ambiguity field can be set to { -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5} with reference to the related embodiments described above.
And 502, acquiring temperature membership corresponding to each temperature language fuzzy value and each temperature fuzzy value.
In some embodiments, a membership function is obtained; calculating according to a membership function to obtain an original membership; and determining the association degree of the original membership degree and each combination of the temperature language fuzzy value and each temperature fuzzy value, and configuring the original membership degree at a position corresponding to the combination according to the association degree to obtain the temperature membership degree corresponding to each temperature language fuzzy value and each temperature fuzzy value.
The membership function may be, but is not limited to, a triangle or a normal distribution. After determining the membership function, calculating according to the membership function to obtain original membership, where the number of the original membership may be the same as the number of the temperature fuzzy values, and based on the above related embodiment, the number of the temperature fuzzy values is 11, in this embodiment, the original membership is determined to be 1, 0.8, 0.6, and 0, and in positions less than 11 bits, the original membership is set in order according to the magnitude of the original membership.
Further, the association degree of the original membership degree with each temperature language fuzzy value and each combination of temperature fuzzy values means that when the temperature language fuzzy value and the temperature fuzzy value are different, the actual association therebetween means that, for example, when the temperature fuzzy value is 5, the current temperature is high, and when the temperature language fuzzy value corresponds to PB, the temperature membership degree at the combination of the two is 1, and when the temperature fuzzy value is other values, the temperature membership degree gradually decreases.
In particular, reference may be made to table 1 below:
TABLE 1
In some embodiments, the temperature ambiguity domain can be set as { NB (dry), NS (dry), ZO (moderate), PS (wet), PB (wet) }, with reference to the related embodiments described above.
And step 504, constructing a fuzzy control table according to the temperature fuzzy value, the temperature language fuzzy value, the temperature membership degree and the humidity fuzzy value.
In some embodiments, after obtaining the parameters, table 2 may be constructed, specifically:
TABLE 2
After tables 1 and 2 are identified, the fuzzy output values are checked by using the tables as fuzzy control tables.
In some embodiments, after determining the temperature fuzzy value based on the temperature setpoint, the temperature fuzzy value may be entered into a fuzzy control table, where in Table 1, an initial temperature linguistic fuzzy value and an initial degree of membership may be determined based on the temperature fuzzy value.
Taking the temperature setting value as 20 as an example, the temperature setting value is obtained by substituting the formula (1), the temperature fuzzy value is-2, and in table 1, the initial temperature language fuzzy values corresponding to-2 are ZO and NS, wherein the initial membership degree corresponding to ZO is 0.6, and the initial membership degree corresponding to NS is 1.
And 403, determining a target temperature language fuzzy value corresponding to the humidity fuzzy value and the initial temperature language fuzzy value in the fuzzy control table.
In some embodiments, after obtaining the humidity ambiguity value and the initial temperature ambiguity value, a target temperature ambiguity value can be determined in table 2.
Based on the example in the above-described related embodiment where the humidity fuzzy value is NS and the initial temperature speech fuzzy values are ZO and NS, it can be determined in table 2 that the target temperature speech fuzzy values are NS and ZO.
And step 404, taking the language fuzzy value of the target temperature and the initial membership as fuzzy output values.
And 204, resolving the fuzzy output value to obtain a humidity adjusting value corresponding to the humidity request.
In some embodiments, after the fuzzy output value is determined, it may be deblurred to obtain a final humidity adjustment value.
Specifically, step 204 includes:
acquiring a target temperature fuzzy solution of a target temperature language fuzzy value; determining the weight corresponding to the language fuzzy value of the target temperature according to the initial membership degree; and calculating to obtain a humidity adjustment value according to the target temperature fuzzy solution and the weight.
The target temperature ambiguity solution may be set by the developer according to actual conditions, and for example, the temperature ambiguity solution for the temperature language ambiguity value is configured as { NB ═ -2, NS ═ 1, ZO ═ 0, PS ═ 1, and PB ═ 2 }.
Based on the above-described related embodiment in which the target temperature linguistic ambiguity values are NS and ZO, whose ambiguity solutions are NS-1 and ZO-0, the initial degree of membership for ZO and NS is 0.6, respectively, and 1, respectively, and therefore, the weight for NS is NS
ZO is given a weight of
Thus, the humidity adjustment value z is:
and step 205, calculating a humidity control value according to the humidity adjustment value.
In some embodiments, after obtaining the humidity adjustment value, the humidity control value may be determined according to the following formula, where the specific humidity control value Rh is:
Rh＝a+b*z
both a and b are constants, and may be specifically set according to actual conditions, for example, a may be set to 0.5, and b may be set to 0.1.
In some embodiments, after determining the humidity control value through the above steps, the humidity control device is operated at the humidity control value, so that the user is in a more appropriate humidity state.
Based on the same concept, embodiments of the present application provide a humidity control apparatus, and specific implementation of the apparatus may refer to the description of the method embodiment section, and repeated descriptions are omitted, as shown in fig. 6, the apparatus mainly includes:
an obtaining module 601, configured to obtain a humidity request, where the humidity request includes a temperature setting value and a humidity setting gear;
a determining module 602, configured to determine a temperature fuzzy value corresponding to a temperature setting value and a humidity fuzzy value corresponding to a humidity setting gear;
the fuzzy inference module 603 is configured to perform fuzzy inference according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value;
a deblurring module 604, configured to deblur the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request;
a calculating module 605, configured to calculate a humidity control value according to the humidity adjustment value;
a control module 606 for controlling the humidity control device to operate at the humidity control value.
Based on the same concept, an embodiment of the present application provides an electronic device, as shown in fig. 7, the electronic device mainly includes: a processor 701, a communication interface 702, a memory 703 and a communication bus 704, wherein the processor 701, the communication interface 702 and the memory 703 are in communication with each other via the communication bus 704. The memory 703 stores a program executable by the processor 701, and the processor 701 executes the program stored in the memory 703 to implement the following steps:
acquiring a humidity request, wherein the humidity request comprises a temperature set value and a humidity set gear;
determining a temperature fuzzy value corresponding to a temperature set value and a humidity fuzzy value corresponding to a humidity set gear;
carrying out fuzzy reasoning according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value;
resolving the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request;
calculating a humidity control value according to the humidity adjustment value;
and controlling the humidity control device to operate at the humidity control value.
The communication bus 704 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 704 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.
The communication interface 702 is used for communication between the above-described electronic apparatus and other apparatuses.
The Memory 703 may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor 701.
The Processor 701 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like, or may be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.
In yet another embodiment of the present application, there is also provided a computer-readable storage medium having stored therein a computer program which, when run on a computer, causes the computer to execute the humidity control method described in the above embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The available media may be magnetic media (e.g., floppy disks, hard disks, tapes, etc.), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives), among others.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A humidity control method, comprising:
acquiring a humidity request, wherein the humidity request comprises a temperature set value and a humidity set gear;
determining a temperature fuzzy value corresponding to the temperature set value and a humidity fuzzy value corresponding to the humidity set gear;
carrying out fuzzy reasoning according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value;
performing deblurring on the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request;
calculating a humidity control value according to the humidity adjustment value;
and controlling the humidity control device to operate at the humidity control value.
2. The method of claim 1, wherein determining the fuzzy value of the temperature corresponding to the temperature set point comprises:
acquiring a preset temperature fuzzy domain and a preset quantization factor;
determining the temperature ambiguity value according to the temperature setting value and the quantization factor, wherein the temperature ambiguity value is contained in the temperature ambiguity domain.
3. The humidity control method of claim 2, wherein obtaining a quantization factor comprises:
acquiring a preset temperature discourse domain and the temperature fuzzy discourse domain;
and calculating the quantization factor according to the first element in the temperature theory domain and the second element in the temperature ambiguity domain.
4. The humidity control method according to claim 1, wherein said performing fuzzy inference based on said temperature fuzzy value and said humidity fuzzy value to obtain a fuzzy output value comprises:
acquiring a pre-constructed fuzzy control table;
determining an initial temperature language fuzzy value corresponding to the temperature fuzzy value in the fuzzy control table, and an initial membership degree corresponding to the initial temperature language fuzzy value;
determining a target temperature language fuzzy value corresponding to the humidity fuzzy value and the initial temperature language fuzzy value in the fuzzy control table;
and taking the target temperature language fuzzy value and the initial membership degree as the fuzzy output value.
5. The humidity control method of claim 4, wherein the deblurring the blurred output value to obtain the humidity adjustment value corresponding to the humidity request comprises:
acquiring a target temperature fuzzy solution of the target temperature language fuzzy value;
determining the weight corresponding to the target temperature language fuzzy value according to the initial membership degree;
and calculating to obtain the humidity adjustment value according to the target temperature fuzzy solution and the weight.
6. The humidity control method according to claim 4, wherein said fuzzy control table is constructed by the following steps:
acquiring a preset temperature language ambiguity domain and a preset temperature ambiguity domain, wherein the temperature language ambiguity domain comprises at least one temperature language ambiguity value, and the temperature ambiguity domain comprises at least one temperature ambiguity value;
acquiring temperature membership degrees corresponding to the temperature language fuzzy values and the temperature fuzzy values;
acquiring a preset humidity fuzzy domain, wherein the humidity fuzzy domain comprises the humidity fuzzy value;
and constructing the fuzzy control table according to the temperature fuzzy value, the temperature language fuzzy value, the temperature membership degree and the humidity fuzzy value.
7. The humidity control method of claim 6, wherein said obtaining a temperature membership corresponding to each of said temperature fuzzy values and said temperature fuzzy values comprises:
acquiring a membership function;
calculating according to the membership function to obtain an original membership;
determining a degree of association of the original membership with each of the temperature linguistic fuzzy values and each of the temperature fuzzy value combinations;
and configuring the original membership degrees at positions corresponding to the combinations according to the association degrees to obtain the temperature membership degrees corresponding to the temperature language fuzzy values and the temperature fuzzy values.
8. A humidity control apparatus, comprising:
the system comprises an acquisition module, a judgment module and a control module, wherein the acquisition module is used for acquiring a humidity request, and the humidity request comprises a temperature set value and a humidity set gear;
the determining module is used for determining a temperature fuzzy value corresponding to the temperature set value and a humidity fuzzy value corresponding to the humidity set gear;
the fuzzy inference module is used for carrying out fuzzy inference according to the temperature fuzzy value and the humidity fuzzy value to obtain a fuzzy output value;
the ambiguity resolution module is used for resolving ambiguity of the fuzzy output value to obtain a humidity adjustment value corresponding to the humidity request;
the calculation module is used for calculating a humidity control value according to the humidity adjustment value;
and the control module is used for controlling the humidity control device to operate according to the humidity control value.
9. An electronic device, comprising: the system comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory for storing a computer program;
the processor, executing the program stored in the memory, implementing the humidity control method of any of claims 1-7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the humidity control method according to any one of claims 1 to 7.
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