CN114061094A - Control method and device of air conditioner and computer readable storage medium - Google Patents
Control method and device of air conditioner and computer readable storage medium Download PDFInfo
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- CN114061094A CN114061094A CN202111365090.0A CN202111365090A CN114061094A CN 114061094 A CN114061094 A CN 114061094A CN 202111365090 A CN202111365090 A CN 202111365090A CN 114061094 A CN114061094 A CN 114061094A
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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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- 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
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
The invention discloses a control method and a control device of an air conditioner and a computer readable storage medium. Wherein, the method comprises the following steps: responding to a humidity adjusting instruction, and acquiring a current operation mode of a target air conditioner; when the current operation mode indicates that the target air conditioner is in the dehumidification mode, controlling the target air conditioner to operate according to a first control parameter; acquiring an actual humidity value of a target space in the process that the target air conditioner operates according to a first control parameter, wherein the target space is a space where the target air conditioner is located; and under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than the humidity threshold value, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter. The invention solves the technical problem of poor user experience caused by the fact that other parameters such as temperature and the like are influenced after the air conditioner dehumidifies the environment in the related technology.
Description
Technical Field
The invention relates to the field of intelligent household appliances, in particular to a control method and a device of an air conditioner and a computer readable storage medium.
Background
The existing air conditioner control method is generally to control the air conditioner operation according to the judgment and set instruction of a user, and the intelligent control of the air conditioner is in a primary starting state and is mainly developed intelligently by interacting with the user, so that the user is separated from the control of a traditional remote controller. However, in the aspect of air conditioner self-control, the degree of intelligence is still low, adaptive adjustment of operation control parameters is difficult to achieve, optimal control parameters cannot be operated accurately, and intelligence and comfort are to be improved. The environment temperature and humidity and the frequency of the air conditioner compressor, the rotating speed of the fan and the opening degree of the electronic expansion valve have direct control relations, the temperature and the humidity under the refrigeration mode are difficult to be independently controlled, and the humidity is difficult to reach the human comfort range when the temperature is reduced.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a control method and device of an air conditioner and a computer readable storage medium, which are used for at least solving the technical problem that the user experience is poor due to the fact that the air conditioner influences other parameters such as temperature after dehumidifying the environment in the related art.
According to an aspect of an embodiment of the present invention, there is provided a control method of an air conditioner, including: responding to a humidity adjusting instruction, and acquiring a current operation mode of a target air conditioner, wherein the humidity adjusting instruction comprises a target humidity value; when the current operation mode indicates that the target air conditioner is in a dehumidification mode, controlling the target air conditioner to operate according to a first control parameter; acquiring an actual humidity value of a target space in the process that the target air conditioner operates according to the first control parameter, wherein the target space is a space where the target air conditioner is located; and under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than a humidity threshold value, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
Optionally, the first control parameter comprises: a first operating parameter and a first expansion valve opening adjustment value, the method further comprising, prior to controlling the target air conditioner to operate according to the first control parameter: determining the first expansion valve opening adjustment value; wherein determining the first expansion valve opening adjustment value comprises: inputting the first operating parameter into a first network model, wherein the first network model is obtained by machine learning training using a plurality of sets of first training data, and each set of the plurality of sets of first training data includes: a first historical operating parameter and a first historical expansion valve opening degree regulating value corresponding to the first historical operating parameter; and taking the output of the first network model as the first expansion valve opening adjusting value.
Optionally, the first operating parameter comprises at least one of: the target air conditioner comprises the rotating speed of a compressor of the target air conditioner, the wind speed of the target air conditioner, the ambient temperature of the target space and the ambient humidity of the target space.
Optionally, the second control parameter comprises: a second operating parameter and a second expansion valve opening adjustment value, before controlling the target air conditioner to operate according to the second control parameter, the method further comprising: determining the second expansion valve opening adjustment value; wherein determining the second expansion valve opening adjustment value comprises: inputting the second operating parameter into a second network model, wherein the second network model is obtained by machine learning training using a plurality of sets of second training data, and each set of the second training data in the plurality of sets of second training data includes: a second historical operating parameter and a second historical expansion valve opening degree regulating value corresponding to the second historical operating parameter; and taking the output of the second network model as the second expansion valve opening adjusting value.
Optionally, the second operating parameter comprises at least one of: the target air conditioner comprises the rotating speed of a compressor of the target air conditioner, the wind speed of the target air conditioner, the ambient temperature of the target space and the ambient humidity change rate of the target space.
Optionally, the method further comprises: when the current operation mode indicates that the target air conditioner is not in the dehumidification mode, detecting whether the target air conditioner is in the refrigeration mode or not to obtain a detection result; when the detection result shows that the target air conditioner is not in the refrigeration mode, controlling the target air conditioner to operate according to current control parameters; and when the detection result shows that the target air conditioner is in the refrigeration mode, acquiring the second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
Optionally, after controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter, the method further includes: and controlling the target air conditioner to operate according to the current control parameters.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of an air conditioner, including: the response module is used for responding to a humidity adjusting instruction and acquiring the current operation mode of the target air conditioner, wherein the humidity adjusting instruction comprises a target humidity value; the first control module is used for controlling the target air conditioner to operate according to a first control parameter when the current operation mode indicates that the target air conditioner is in a dehumidification mode; the first obtaining module is used for obtaining an actual humidity value of a target space in the process that the target air conditioner operates according to the first control parameter, wherein the target space is a space where the target air conditioner is located; and the second acquisition module is used for acquiring a second control parameter under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than a humidity threshold value, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
Optionally, the first control parameter comprises: a first operating parameter and a first expansion valve opening adjustment value, the apparatus further comprising: the first determining module is used for determining the opening adjusting value of the first expansion valve before controlling the target air conditioner to operate according to a first control parameter; wherein the determining module comprises: a first input unit, configured to input the first operating parameter to a first network model, where the first network model is obtained through machine learning training using multiple sets of first training data, and each set of the multiple sets of first training data includes: a first historical operating parameter and a first historical expansion valve opening degree regulating value corresponding to the first historical operating parameter; a first output unit configured to output the first network model as the first expansion valve opening adjustment value.
Optionally, the first operating parameter comprises at least one of: the target air conditioner comprises the rotating speed of a compressor of the target air conditioner, the wind speed of the target air conditioner, the ambient temperature of the target space and the ambient humidity of the target space.
Optionally, the second control parameter comprises: a second operating parameter and a second expansion valve opening adjustment value, the apparatus further comprising: the second determining module is used for determining the second expansion valve opening adjusting value before controlling the target air conditioner to operate according to the second control parameter; wherein the second determining module comprises: a second input unit, configured to input the second operating parameter to a second network model, where the second network model is obtained through machine learning training using multiple sets of second training data, and each set of the multiple sets of the second training data includes: a second historical operating parameter and a second historical expansion valve opening degree regulating value corresponding to the second historical operating parameter; and a second output unit configured to output the second network model as the second expansion valve opening adjustment value.
Optionally, the second operating parameter comprises at least one of: the target air conditioner comprises the rotating speed of a compressor of the target air conditioner, the wind speed of the target air conditioner, the ambient temperature of the target space and the ambient humidity change rate of the target space.
Optionally, the apparatus further comprises: the detection unit is used for detecting whether the target air conditioner is in a refrigeration mode or not when the current operation mode indicates that the target air conditioner is not in a dehumidification mode, and obtaining a detection result; the control unit is used for controlling the target air conditioner to operate according to current control parameters when the detection result shows that the target air conditioner is not in the refrigeration mode; and the obtaining unit is used for obtaining the second control parameter when the detection result shows that the target air conditioner is in the refrigeration mode, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
Optionally, the apparatus further comprises: and the second control module is used for controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter, and then controlling the target air conditioner to operate according to the current control parameter.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the apparatus where the computer-readable storage medium is located is controlled to execute the control method of the air conditioner according to any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a computer program, wherein the computer program executes to execute the control method of the air conditioner according to any one of the above embodiments.
In the embodiment of the invention, the current operation mode of the target air conditioner is obtained in response to a humidity adjusting instruction, wherein the humidity adjusting instruction comprises a target humidity value; when the current operation mode indicates that the target air conditioner is in the dehumidification mode, controlling the target air conditioner to operate according to a first control parameter; acquiring an actual humidity value of a target space in the process that the target air conditioner operates according to a first control parameter, wherein the target space is a space where the target air conditioner is located; and under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than the humidity threshold value, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter. By the control method of the air conditioner, the aim of controlling the air conditioner to achieve the target environment parameter on the actual environment parameter based on the humidity adjusting instruction and the current operation mode of the air conditioner is achieved, the technical effect of improving the user experience is achieved, and the technical problem that the user experience is poor due to the fact that the air conditioner influences other parameters such as temperature after dehumidifying the environment in the related art 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 view of a control method of an air conditioner according to an embodiment of the present invention;
FIG. 2(a) is a schematic diagram of a neural network architecture according to an embodiment of the present invention;
FIG. 2(b) is a schematic diagram of an additional neural network architecture, according to an embodiment of the present invention;
FIG. 3 is a flow diagram of neural network training in accordance with an embodiment of the present invention;
FIG. 4 is a logic flow diagram of an air conditioner control method according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a control apparatus of an air conditioner according to an embodiment of the present invention.
Detailed Description
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.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of a control method of an air conditioner, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Fig. 1 is a schematic view of a control method of an air conditioner according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, responding to a humidity adjusting instruction, and acquiring a current operation mode of the target air conditioner, wherein the humidity adjusting instruction comprises a target humidity value.
Optionally, in the above step, the user first sets an instruction for adjusting the air conditioner to the target humidity, and the air conditioner responds to the instruction of the user and detects the current operation mode of the air conditioner.
And step S104, controlling the target air conditioner to operate according to the first control parameter when the current operation mode indicates that the target air conditioner is in the dehumidification mode.
Optionally, in the above step, when the obtained current operation mode of the air conditioner is the dehumidification mode, the air conditioner is controlled to operate according to the first control parameter, that is, the target humidity is adjusted for the target space.
And step S106, acquiring an actual humidity value of a target space in the process that the target air conditioner operates according to the first control parameter, wherein the target space is the space where the target air conditioner is located.
Optionally, in the above step, when the air conditioner is controlled to dehumidify the target space, the actual humidity value in the space where the air conditioner is located is obtained at the same time, and it is determined whether a difference between the actual humidity value and the target humidity value is smaller than a preset humidity threshold, if not, humidity adjustment is continued according to the first control parameter; if so, controlling the air conditioner to continuously adjust other parameters.
And step S108, under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than the humidity threshold value, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
It should be noted that the environmental parameters in the embodiment of the present invention may include: ambient temperature, ambient humidity.
As can be seen from the above, in the embodiment of the present invention, first, a current operation mode of a target air conditioner may be obtained in response to a humidity adjustment instruction, where the humidity adjustment instruction includes a target humidity value; then, when the current operation mode indicates that the target air conditioner is in the dehumidification mode, controlling the target air conditioner to operate according to the first control parameter; then, in the process that the target air conditioner operates according to the first control parameter, the actual humidity value of a target space can be obtained, wherein the target space is the space where the target air conditioner is located; and finally, under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than the humidity threshold value, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter. By the control method of the air conditioner, the aim of controlling the air conditioner to achieve the target environment parameter on the actual environment parameter based on the humidity adjusting instruction and the current operation mode of the air conditioner is achieved, the technical effect of improving the user experience is achieved, and the technical problem that the user experience is poor due to the fact that the air conditioner influences other parameters such as temperature after dehumidifying the environment in the related art is solved.
As an alternative embodiment, the first control parameter may include: the control method of the air conditioner further includes, before the control target air conditioner operates according to the first control parameter, a first operating parameter and a first expansion valve opening adjustment value: determining a first expansion valve opening adjustment value; wherein determining the first expansion valve opening adjustment value comprises: inputting the first operating parameter into a first network model, wherein the first network model is obtained by machine learning training using a plurality of sets of first training data, and each set of the first training data in the plurality of sets of first training data comprises: a first historical operating parameter and a first historical expansion valve opening degree regulating value corresponding to the first historical operating parameter; and taking the output of the first network model as a first expansion valve opening adjusting value.
In the above optional embodiment, for the development of the neural network model in the system temperature and humidity control logic, a neural network with a BP neural network structure of 4-10-1 may be designed by using a built three-layer BP (back propagation) neural network model framework, and the neuron activation functions of the hidden layer and the output layer may be a Sigmoid function and a purelin linear function. Wherein the input layer node neuron is PiI is 1, 2, 3, 4, with the hidden layer node neuron ajJ is 1, 2, …, 10. The output layer node neuron may be Y. a isj＝∑wjiPi+bjWherein w isjiDenotes ajTo PiWeight coefficient of (b)jIndicating its modified threshold. The hidden layer is output as
j ═ 1, 2, …, 10; the output of the output layer is Y ═ Σ wjHj+b，j＝1、2、3、…、10，wjRepresents Y to HjThe weight coefficient of (2).
As an alternative embodiment, the first operating parameter comprises at least one of: the target air conditioner includes a rotation speed of a compressor of the target air conditioner, a wind speed of the target air conditioner, an ambient temperature of the target space, and an ambient humidity of the target space.
Optionally, the first operating parameter may further include: indoor dry bulb temperature, indoor relative temperature, compressor operating frequency, windshield rotational speed.
Fig. 2(a) is a schematic diagram of a neural network structure according to an embodiment of the present invention, and as shown in fig. 2(a), a step number target correction value (i.e., a first expansion valve opening degree adjustment value) of the electronic expansion valve is output through operations of the hidden layer and the output layer, if it is detected that the indoor relative humidity is significantly higher than a set value, the opening value of the electronic expansion valve is reduced, and specifically, the reduced value is output and controlled by the neural network, so as to achieve the effect of rapid dehumidification, comfort and temperature reduction.
As an alternative embodiment, the second control parameter comprises: before the control target air conditioner operates according to the second control parameter, the control method of the air conditioner further includes: determining a second expansion valve opening degree adjusting value; wherein determining a second expansion valve opening adjustment value comprises: inputting the second operating parameter into a second network model, wherein the second network model is obtained by using a plurality of groups of second training data through machine learning training, and each group of the second training data in the plurality of groups of second training data comprises: a second historical operating parameter and a second historical expansion valve opening degree regulating value corresponding to the second historical operating parameter; and taking the output of the second network model as a second expansion valve opening adjusting value.
As an alternative embodiment, the second operating parameter comprises at least one of: the target air conditioner includes a rotation speed of a compressor of the target air conditioner, a wind speed of the target air conditioner, an ambient temperature of the target space, and an ambient humidity change rate of the target space.
Optionally, the second operating parameter may further include: indoor dry bulb temperature, indoor relative humidity rate of change, compressor operating frequency and windshield wind speed.
Fig. 2(b) is a schematic diagram of another neural network structure according to an embodiment of the present invention, as shown in fig. 2(b), the input parameters are operation parameters, indoor dry-bulb temperature and indoor relative humidity change rate, the input parameters are input into the neural network in a sequence, the electronic expansion valve step number target correction value is output through hidden layer and output layer operation, if the indoor relative humidity change rate obtained through detection and calculation gradually decreases, the opening value of the electronic expansion valve is decreased, and the specifically decreased value is regulated and controlled by the neural network output, so as to achieve a comfortable effect that the temperature is not excessively decreased while reasonable dehumidification is achieved.
FIG. 3 is a flow chart of neural network training according to an embodiment of the present invention, and as shown in FIG. 3, the neural network model calculates the difference between the expected output and the actual output, and propagates the deviation value along the inverse direction of the operation, and the weight coefficients and the threshold values between the neuron nodes are continuously modified by training the deviation value each time, so that the output value of the training sample continuously approaches the expected value.
Further, the neural network model comprises a training part and a verification part, wherein the training part trains a preset neural network model by calling stored training samples, and performs hidden layer and output layer output calculation, error calculation and weight and threshold value updating; the verification part is used for verifying the generality of the trained model and judging whether the model is trained completely, namely calculating the difference value between the output value of the verification sample and the target output value, and if the difference value is smaller than a preset difference value, the model is trained completely. If the training is judged to be finished, stopping training and generating a preset neural network model, and if the training is judged to be not finished, continuing to execute the step to be trained of the training part.
As an optional embodiment, the control method of the air conditioner further includes: when the current operation mode indicates that the target air conditioner is not in the dehumidification mode, detecting whether the target air conditioner is in the refrigeration mode or not to obtain a detection result; when the detection result shows that the target air conditioner is not in the refrigeration mode, controlling the target air conditioner to operate according to the current control parameters; and when the detection result shows that the target air conditioner is in the refrigeration mode, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
In the embodiment, if the target air conditioner is detected not to be in the dehumidification mode, whether the target air conditioner is in the refrigeration mode or not is continuously detected, and if not, the target air conditioner is directly controlled to operate according to the current control parameters; otherwise, the target air conditioner is controlled to operate according to the second control parameter until the actual environmental parameter of the target air conditioner reaches the target environmental parameter, namely, the environmental humidity reaches the target environmental humidity, and the environmental temperature reaches the target environmental temperature.
As an alternative embodiment, after controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter, the control method of the air conditioner further includes: and controlling the target air conditioner to operate according to the current control parameters.
Fig. 4 is a logic flow diagram of a control method of an air conditioner according to an embodiment of the present invention, as shown in fig. 4, a user first sets a target humidity (i.e., sets a humidity adjustment command including a target humidity value), then determines a current operation mode of the air conditioner, and if the current operation mode is a normal cooling mode, the current operation mode is maintained; if the air conditioner is in the dehumidification mode, adjusting according to the first operation parameter and the opening adjusting value of the first expansion valve until the humidity difference between the actual humidity and the target humidity is smaller than the humidity threshold value, converting to control the air conditioner to operate according to the second control parameter until the actual environmental parameter in the space (namely the target space) where the air conditioner is located reaches the target environmental parameter, and keeping the current operation mode to continue operating.
From the above, in the embodiment of the present invention, the embodiment of the present invention provides an intelligent temperature and humidity control method for an air conditioner, which carries multiple neural network control models, so that the regulation and control parameters are no longer fixed modes set during development, but can develop a method for further optimizing and perfecting and realizing secondary diversified development of the product according to different using environmental conditions of the product, in the embodiment of the invention, the air conditioner collects the operation parameters and the environmental parameters of the air conditioner in real time, and the operation mode and the target environmental parameter value set by a user, the neural network model carries out self-adaptive learning according to the condition parameters, the opening degree adjusting values of the corresponding electronic expansion valves are output after different neural network model operations, so that more accurate and timely efficient temperature and humidity regulation and control are realized, the temperature and humidity are finally stabilized at a target value within a certain error range, and the user experience is greatly improved.
Example 2
According to another aspect of the embodiment of the present invention, there is also provided a control apparatus of an air conditioner, and fig. 5 is a schematic diagram of the control apparatus of the air conditioner according to the embodiment of the present invention, as shown in fig. 5, including: a response module 51, a first control module 53, a first acquisition module 55, and a second acquisition module 57. The following describes a control device of the air conditioner.
The response module 51 is configured to obtain a current operation mode of the target air conditioner in response to a humidity adjustment instruction, where the humidity adjustment instruction includes a target humidity value.
And a first control module 53, configured to control the target air conditioner to operate according to the first control parameter when the current operation mode indicates that the target air conditioner is in the dehumidification mode.
The first obtaining module 55 is configured to obtain an actual humidity value of a target space during an operation of the target air conditioner according to the first control parameter, where the target space is a space where the target air conditioner is located.
And a second obtaining module 57, configured to obtain a second control parameter when a humidity difference between the actual humidity value and the target humidity value is smaller than the humidity threshold, and control the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
It should be noted that the response module 51, the first control module 53, the first obtaining module 55 and the second obtaining module 57 correspond to steps S102 to S108 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
As can be seen from the above, in the embodiment of the present invention, the response module 51 may be first utilized to respond to a humidity adjustment instruction, and obtain a current operation mode of the target air conditioner, where the humidity adjustment instruction includes a target humidity value; then, when the current operation mode indicates that the target air conditioner is in the dehumidification mode, the first control module 53 is used for controlling the target air conditioner to operate according to the first control parameter; then, a first obtaining module 55 is utilized to obtain an actual humidity value of a target space in the process that the target air conditioner operates according to the first control parameter, wherein the target space is a space where the target air conditioner is located; and finally, under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than the humidity threshold value, the second obtaining module 57 obtains a second control parameter, and controls the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter. Through the control device of the air conditioner, the purpose that the air conditioner is controlled to achieve the target environment parameter on the actual environment parameter based on the humidity adjusting instruction and the current operation mode of the air conditioner is achieved, the technical effect of improving the user experience is achieved, and the technical problem that the user experience is poor due to the fact that the air conditioner influences other parameters such as temperature after dehumidifying the environment in the related art is solved.
Optionally, the first control parameter comprises: the control device of the air conditioner further comprises a first operation parameter and a first expansion valve opening adjusting value: the first determining module is used for determining a first expansion valve opening adjusting value before the control target air conditioner operates according to a first control parameter; wherein, confirm the module, include: the first input unit is used for inputting the first operating parameter to a first network model, wherein the first network model is obtained by machine learning training by using a plurality of groups of first training data, and each group of the first training data in the plurality of groups of the first training data comprises: a first historical operating parameter and a first historical expansion valve opening degree regulating value corresponding to the first historical operating parameter; and a first output unit for taking the output of the first network model as a first expansion valve opening adjustment value.
Optionally, the first operating parameter comprises at least one of: the target air conditioner includes a rotation speed of a compressor of the target air conditioner, a wind speed of the target air conditioner, an ambient temperature of the target space, and an ambient humidity of the target space.
Optionally, the second control parameter comprises: the control device of the air conditioner further comprises a second operation parameter and a second expansion valve opening degree adjusting value: the second determining module is used for determining a second expansion valve opening adjusting value before the control target air conditioner operates according to the second control parameter; wherein, the second determining module comprises: a second input unit, configured to input a second operating parameter to a second network model, where the second network model is obtained through machine learning training using multiple sets of second training data, and each set of second training data in the multiple sets of second training data includes: a second historical operating parameter and a second historical expansion valve opening degree regulating value corresponding to the second historical operating parameter; and a second output unit for taking the output of the second network model as a second expansion valve opening adjustment value.
Optionally, the second operating parameter comprises at least one of: the target air conditioner includes a rotation speed of a compressor of the target air conditioner, a wind speed of the target air conditioner, an ambient temperature of the target space, and an ambient humidity change rate of the target space.
Optionally, the control device of the air conditioner further includes: the detection unit is used for detecting whether the target air conditioner is in a refrigeration mode or not when the current operation mode indicates that the target air conditioner is not in the dehumidification mode, and obtaining a detection result; the control unit is used for controlling the target air conditioner to operate according to the current control parameters when the detection result shows that the target air conditioner is not in the refrigeration mode; and the acquisition unit is used for acquiring a second control parameter when the detection result shows that the target air conditioner is in the refrigeration mode, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
Optionally, the control device of the air conditioner further includes: and the second control module is used for controlling the target air conditioner to operate according to the current control parameter after controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
Example 3
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, an apparatus in which the computer-readable storage medium is located is controlled to perform the control method of the air conditioner according to any one of the above.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a computer program, wherein the computer program executes to execute the control method of the air conditioner according to any one of the above.
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.
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: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
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 (10)
1. A method of controlling an air conditioner, comprising:
responding to a humidity adjusting instruction, and acquiring a current operation mode of a target air conditioner, wherein the humidity adjusting instruction comprises a target humidity value;
when the current operation mode indicates that the target air conditioner is in a dehumidification mode, controlling the target air conditioner to operate according to a first control parameter;
acquiring an actual humidity value of a target space in the process that the target air conditioner operates according to the first control parameter, wherein the target space is a space where the target air conditioner is located;
and under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than a humidity threshold value, acquiring a second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
2. The method of claim 1, wherein the first control parameter comprises: a first operating parameter and a first expansion valve opening adjustment value, the method further comprising, prior to controlling the target air conditioner to operate according to the first control parameter: determining the first expansion valve opening adjustment value;
wherein determining the first expansion valve opening adjustment value comprises:
inputting the first operating parameter into a first network model, wherein the first network model is obtained by machine learning training using a plurality of sets of first training data, and each set of the plurality of sets of first training data includes: a first historical operating parameter and a first historical expansion valve opening degree regulating value corresponding to the first historical operating parameter;
and taking the output of the first network model as the first expansion valve opening adjusting value.
3. The method of claim 2, wherein the first operating parameter comprises at least one of: the target air conditioner comprises the rotating speed of a compressor of the target air conditioner, the wind speed of the target air conditioner, the ambient temperature of the target space and the ambient humidity of the target space.
4. The method of claim 1, wherein the second control parameter comprises: a second operating parameter and a second expansion valve opening adjustment value, before controlling the target air conditioner to operate according to the second control parameter, the method further comprising: determining the second expansion valve opening adjustment value;
wherein determining the second expansion valve opening adjustment value comprises:
inputting the second operating parameter into a second network model, wherein the second network model is obtained by machine learning training using a plurality of sets of second training data, and each set of the second training data in the plurality of sets of second training data includes: a second historical operating parameter and a second historical expansion valve opening degree regulating value corresponding to the second historical operating parameter;
and taking the output of the second network model as the second expansion valve opening adjusting value.
5. The method of claim 4, wherein the second operating parameter comprises at least one of: the target air conditioner comprises the rotating speed of a compressor of the target air conditioner, the wind speed of the target air conditioner, the ambient temperature of the target space and the ambient humidity change rate of the target space.
6. The method of claim 1, further comprising:
when the current operation mode indicates that the target air conditioner is not in the dehumidification mode, detecting whether the target air conditioner is in the refrigeration mode or not to obtain a detection result;
when the detection result shows that the target air conditioner is not in the refrigeration mode, controlling the target air conditioner to operate according to current control parameters;
and when the detection result shows that the target air conditioner is in the refrigeration mode, acquiring the second control parameter, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
7. The method as claimed in any one of claims 1 to 6, wherein after controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter, the method further comprises:
and controlling the target air conditioner to operate according to the current control parameters.
8. A control apparatus of an air conditioner, comprising:
the response module is used for responding to a humidity adjusting instruction and acquiring the current operation mode of the target air conditioner, wherein the humidity adjusting instruction comprises a target humidity value;
the first control module is used for controlling the target air conditioner to operate according to a first control parameter when the current operation mode indicates that the target air conditioner is in a dehumidification mode;
the first obtaining module is used for obtaining an actual humidity value of a target space in the process that the target air conditioner operates according to the first control parameter, wherein the target space is a space where the target air conditioner is located;
and the second acquisition module is used for acquiring a second control parameter under the condition that the humidity difference value between the actual humidity value and the target humidity value is smaller than a humidity threshold value, and controlling the target air conditioner to operate according to the second control parameter until the actual environmental parameter of the target space reaches the target environmental parameter.
9. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program is executed by a processor, the computer-readable storage medium controls an apparatus to perform the method of controlling an air conditioner according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to run a computer program, wherein the computer program is configured to execute the control method of the air conditioner according to any one of the claims 1 to 7 when running.
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