CN110726228A - Air conditioner, determination method and device of air outlet temperature of air conditioner and storage medium - Google Patents
Air conditioner, determination method and device of air outlet temperature of air conditioner and storage medium Download PDFInfo
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- CN110726228A CN110726228A CN201911039251.XA CN201911039251A CN110726228A CN 110726228 A CN110726228 A CN 110726228A CN 201911039251 A CN201911039251 A CN 201911039251A CN 110726228 A CN110726228 A CN 110726228A
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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
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
Abstract
The invention discloses an air conditioner, a method and a device for determining the outlet air temperature of the air conditioner, and a storage medium. The method includes detecting a temperature of an evaporator of the air conditioner; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner. By the invention, the technical effect of reducing the cost for determining the air outlet temperature of the air conditioner is achieved.
Description
Technical Field
The invention relates to the field of air conditioners, in particular to an air conditioner, a method and a device for determining the outlet air temperature of the air conditioner and a storage medium.
Background
At present, in an air conditioner, a user generally sets the temperature of the air conditioner directly, but the outlet air temperature of the air conditioner is not the temperature actually required by the user. In addition, if the outlet air temperature is to be obtained, a temperature sensor is often required to be arranged at the air outlet of the air conditioner, so that the cost for determining the outlet air temperature of the air conditioner is increased.
Aiming at the technical problem of high cost in determining the air outlet temperature of an air conditioner in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The invention mainly aims to provide an air conditioner, a method and a device for determining the air outlet temperature of the air conditioner and a storage medium, and at least solves the technical problem of high cost for determining the air outlet temperature of the air conditioner.
In order to achieve the above object, according to one aspect of the present invention, a method for determining an outlet air temperature of an air conditioner is provided. The method can comprise the following steps: detecting the temperature of an evaporator of the air conditioner; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
Optionally, after analyzing the temperature of the evaporator by using the neural network model to obtain the outlet air temperature of the air conditioner, the method further includes: acquiring the temperature of the environment where the air conditioner is located; comparing the outlet air temperature with the ambient temperature to obtain a comparison result; and adjusting the operation parameters of the air conditioner based on the comparison result.
Optionally, the operating parameter comprises at least one of: frequency of a compressor of an air conditioner; opening degree of an expansion valve of an air conditioner; the rotating speed of the inner fan of the air conditioner.
Optionally, the method further comprises: acquiring a target air outlet temperature of the air conditioner; and analyzing the target air outlet temperature of the air conditioner based on the neural network model to obtain the target temperature of the evaporator.
Optionally, after analyzing the target outlet air temperature based on the neural network model to obtain the target temperature of the evaporator, the method further includes: and adjusting the operating parameters of the air conditioner until the temperature of the evaporator reaches the target temperature of the evaporator, wherein the air outlet temperature of the air conditioner reaches the target air outlet temperature of the air conditioner under the condition that the temperature of the evaporator reaches the target temperature of the evaporator.
Optionally, adjusting the operating parameter of the air conditioner until the temperature of the evaporator reaches the target temperature of the evaporator comprises: determining a target operating parameter of the air conditioner corresponding to a target temperature of the evaporator; acquiring a difference value between a target operation parameter of the air conditioner and an operation parameter of the air conditioner; and adjusting the operation parameter of the air conditioner to the target operation parameter of the air conditioner based on the difference value.
Optionally, obtaining the target outlet air temperature of the air conditioner includes: and responding to the touch operation instruction or the voice operation instruction to obtain the target air outlet temperature of the air conditioner.
Optionally, before analyzing the temperature of the evaporator based on the neural network model to obtain the outlet air temperature of the air conditioner, the method further includes: acquiring sample data, wherein the sample data comprises: different temperatures of the evaporator and air outlet temperatures of the air conditioner corresponding to the different temperatures of the evaporator; and learning the sample data based on the sub-neural network model to generate the neural network model.
In order to achieve the above object, according to another aspect of the present invention, a method for determining an outlet air temperature of an air conditioner is also provided. The method can comprise the following steps: displaying the temperature of an evaporator of the air conditioner on the interactive interface; and displaying the air outlet temperature of the air conditioner on the interactive interface, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
Optionally, the method further comprises: displaying the target outlet air temperature of the air conditioner on the interactive interface; and displaying the target temperature of the evaporator of the air conditioner on the interactive interface, wherein the target temperature of the evaporator is obtained by analyzing the target outlet air temperature of the air conditioner based on the neural network model.
Optionally, before the target outlet air temperature of the air conditioner is displayed on the interactive interface, the method further includes: and responding to the touch operation instruction or the voice operation instruction to obtain the target air outlet temperature of the air conditioner.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a device for determining an outlet air temperature of an air conditioner. The apparatus may include: a detection unit for detecting a temperature of an evaporator of an air conditioner; and the analysis unit is used for analyzing the temperature of the evaporator based on the neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a device for determining an outlet air temperature of an air conditioner. The apparatus may include: the first display unit is used for displaying the temperature of the evaporator of the air conditioner on the interactive interface; and the second display unit is used for displaying the air outlet temperature of the air conditioner on the interactive interface, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
In order to achieve the above object, according to another aspect of the present invention, there is also provided an air conditioner, which may include the determination device of the outlet air temperature of the air conditioner of the embodiment of the present invention.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a storage medium. The storage medium comprises a stored program, wherein when the program runs, the equipment where the storage medium is located is controlled to execute the method for determining the outlet air temperature of the air conditioner.
To achieve the above object, according to another aspect of the present invention, there is also provided a processor. The processor is used for running a program, wherein the program executes the method for determining the outlet air temperature of the air conditioner in the embodiment of the invention when running.
According to the invention, the temperature of the evaporator of the air conditioner is detected; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is, the temperature of the evaporator of the air conditioner is detected; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is to say, the temperature of the evaporator is analyzed based on the pre-trained neural network model, the temperature of the air outlet of the air conditioner corresponding to the temperature is obtained, and a temperature sensor does not need to be arranged, so that the technical problem that the cost for determining the air outlet temperature of the air conditioner is high is solved, and the technical effect of reducing the cost for determining the air outlet temperature of the air conditioner is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method for determining an outlet air temperature of an air conditioner according to an embodiment of the present invention;
fig. 2 is a flowchart of another method for determining an outlet air temperature of an air conditioner according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a neural network model according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a control system for predicting outlet air temperature based on a neural network according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an apparatus for determining an outlet air temperature of an air conditioner according to an embodiment of the present invention; and
fig. 6 is a schematic diagram of another device for determining the outlet air temperature of an air conditioner according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, 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 only partial 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.
It should be noted that the terms "first," "second," and the like in the description and claims of this application 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 should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. 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
The embodiment of the invention provides a method for determining the air outlet temperature of an air conditioner.
Fig. 1 is a flowchart of a method for determining an outlet air temperature of an air conditioner according to an embodiment of the present invention. As shown in fig. 1, the method may include the steps of:
step S102, detecting the temperature of the evaporator of the air conditioner.
In the technical solution provided by step S102 of the present invention, an evaporator is disposed in the air conditioner, and the temperature of the evaporator, that is, the intermediate temperature of the evaporator, the target tube temperature, and the inner tube temperature, is detected. Optionally, a sensor for detecting the temperature of the evaporator of the air conditioner is further disposed in the air conditioner of this embodiment, and the sensor may be a temperature sensor, which is also a tube temperature sensor, and may detect the temperature of the evaporator of the air conditioner in real time.
In this embodiment, during the operation of the air conditioner, the temperature of the evaporator may be adjusted by the frequency of the compressor of the air conditioner, the opening degree of the expansion valve, and the rotation speed of the internal fan, and the control manner may be controlled by a proportional-Integral-Derivative (PID) controller or a fuzzy controller.
And step S104, analyzing the temperature of the evaporator based on the neural network model to obtain the air outlet temperature of the air conditioner.
In the technical solution provided in step S102 of the present invention, after the temperature of the evaporator of the air conditioner is detected, the temperature of the evaporator is analyzed based on the neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used to establish a mapping relationship between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
In this embodiment, the temperature of the evaporator of the air conditioner and the air outlet temperature of the air conditioner are in linkage control, a proper neural network model can be trained in advance, the neural network model can be used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner, that is, the air outlet temperature of the air conditioner can be obtained through mapping the temperature of the evaporator, and the temperature of the evaporator can be obtained through mapping the air outlet temperature of the air conditioner.
The embodiment can use the temperature of the evaporator as an input layer of the neural network model, use the air outlet temperature of the air conditioner as an output layer of the neural network model, analyze the temperature of the evaporator based on the neural network model to obtain the air outlet temperature of the air conditioner, the air outlet temperature is the air outlet temperature predicted and obtained based on the neural network model, and further output the air outlet temperature of the air conditioner, so that the air outlet temperature of the air conditioner can be quickly obtained through the neural network model only by inputting the temperature of the evaporator to the neural network model, the efficiency of determining the air outlet temperature of the air conditioner is improved, meanwhile, the condition that a temperature sensor is arranged at an air outlet of the air conditioner is avoided, and the cost of determining the air outlet temperature of the air conditioner is reduced.
The above steps of this embodiment are further described below.
As an alternative implementation manner, in step S104, after analyzing the temperature of the evaporator by using the neural network model to obtain the outlet air temperature of the air conditioner, the method further includes: acquiring the temperature of the environment where the air conditioner is located; comparing the outlet air temperature with the ambient temperature to obtain a comparison result; and adjusting the operation parameters of the air conditioner based on the comparison result.
In this embodiment, the environment where the air conditioner is located may be a room, the current temperature of the room may be obtained, the current temperature of the room is compared with the air outlet temperature of the air conditioner output through the neural network model in real time to obtain a comparison result, optionally, the comparison result is a difference between the current temperature of the room and the air outlet temperature of the air conditioner, and further, the operation parameter of the air conditioner is adjusted based on the comparison result, the operation parameter is also a system operation parameter of the air conditioner, so that the operation parameter of the air conditioner may be adjusted in real time through prediction of the air outlet temperature by the neural network model, the temperature of the air conditioner is controlled more accurately, and a temperature sensor does not need to be arranged at an air outlet of the air conditioner, thereby improving the operation efficiency of the air conditioner.
As an alternative embodiment, the operating parameter comprises at least one of: frequency of a compressor of an air conditioner; opening degree of an expansion valve of an air conditioner; the rotating speed of the inner fan of the air conditioner.
In this embodiment, the air conditioner includes a plurality of actuators, the actuators may be a compressor, an expansion valve, and an internal fan, and the operating parameter of the air conditioner, that is, the operating parameter of each actuator included in the air conditioner, may be a frequency of the compressor of the air conditioner, an opening degree of the expansion valve of the air conditioner, and a rotation speed of the internal fan of the air conditioner.
As an optional implementation, the method further comprises: acquiring a target air outlet temperature of the air conditioner; and analyzing the target air outlet temperature of the air conditioner based on the neural network model to obtain the target temperature of the evaporator.
In this embodiment, the air outlet temperature of the air conditioner can also be manually set, and the target air outlet temperature of the air conditioner is obtained, and the target air outlet temperature is a set value set by the user according to the requirement on the air outlet temperature. Because the neural network model is used for establishing the mapping relationship between different temperatures of the evaporator and the air outlet temperature of the air conditioner, the target air outlet temperature can be used as an input layer of the neural network model, the target temperature of the evaporator corresponding to the target air outlet temperature can be used as an output layer of the neural network model, and the target air outlet temperature of the air conditioner is calculated based on the neural network model, so that the target temperature of the evaporator is obtained, namely, if the temperature of the air outlet of the air conditioner is to reach the target temperature of the air conditioner, the temperature of the evaporator needs to reach the target temperature of the evaporator.
As an optional implementation manner, in step S104, after analyzing the target outlet air temperature based on the neural network model to obtain a target temperature of the evaporator, the method further includes: and adjusting the operating parameters of the air conditioner until the temperature of the evaporator reaches the target temperature of the evaporator, wherein the air outlet temperature of the air conditioner reaches the target air outlet temperature of the air conditioner under the condition that the temperature of the evaporator reaches the target temperature of the evaporator.
In this embodiment, after analyzing the target outlet air temperature based on the neural network model to obtain the target temperature of the evaporator, the operation parameters of the air conditioner may be adjusted according to the target temperature of the evaporator until the temperature of the evaporator reaches the target temperature of the evaporator, which is also the target value of the evaporator and the target tube temperature, and the PID control or the fuzzy control may be used to adjust the frequency of the compressor, the opening degree of the expansion valve, and the rotation speed of the internal fan according to the target temperature of the evaporator, so that the temperature of the evaporator reaches the target temperature of the evaporator, and the outlet air temperature of the air conditioner reaches the target outlet air temperature of the air conditioner under the condition that the temperature of the evaporator reaches the target temperature of the evaporator, thereby the outlet air temperature of the air conditioner may be flexibly set, so that the temperature control of the air conditioner is more accurate, and the comfort of the room is further improved, the user experience is improved.
As an alternative embodiment, adjusting the operating parameters of the air conditioner until the temperature of the evaporator reaches the target temperature of the evaporator comprises: determining a target operating parameter of the air conditioner corresponding to a target temperature of the evaporator; acquiring a difference value between a target operation parameter of the air conditioner and an operation parameter of the air conditioner; and adjusting the operation parameter of the air conditioner to the target operation parameter of the air conditioner based on the difference value.
In this embodiment, when the operation parameters of the air conditioner are adjusted until the temperature of the evaporator reaches the target temperature of the evaporator, the target operation parameters of the air conditioner corresponding to the target temperature of the evaporator may be determined, for example, a target frequency of a compressor of the air conditioner, a target opening degree of an expansion valve of the air conditioner, and a target rotation speed of an inner fan of the air conditioner are determined in order to adjust the temperature of the evaporator to the target temperature of the evaporator, where the target operation parameters include the target frequency of the compressor, the target opening degree of the expansion valve, and the target rotation speed of the inner fan. After determining the target operation parameter of the air conditioner corresponding to the target temperature of the evaporator, a difference between the target operation parameter of the air conditioner and the current operation parameter of the air conditioner may be obtained, for example, a difference between a target frequency of a compressor of the air conditioner and a frequency of a single tag of the compressor, a difference between a target opening degree of an expansion valve of the air conditioner and a current opening degree of the expansion valve, a difference between a target rotation speed of an inner fan of the air conditioner and a current rotation speed of the inner fan, and then the corresponding operation parameter of the air conditioner is adjusted to the corresponding target operation parameter based on the difference.
As an optional implementation manner, the obtaining of the target outlet air temperature of the air conditioner includes: and responding to the touch operation instruction or the voice operation instruction to obtain the target air outlet temperature of the air conditioner.
In this embodiment, when the target air-out temperature of the air conditioner is obtained, a touch operation instruction or a voice operation instruction input by a user may be responded, for example, the user inputs the touch operation instruction through a remote controller, and inputs the voice operation instruction through a voice input device, and the touch operation instruction or the voice operation instruction may carry a specific numerical value of the target air-out temperature, so as to respond to the touch operation instruction or the voice operation instruction, and obtain the target air-out temperature of the air conditioner.
As an optional implementation manner, in step S104, before analyzing the temperature of the evaporator based on the neural network model to obtain the outlet air temperature of the air conditioner, the method further includes: acquiring sample data, wherein the sample data comprises: different temperatures of the evaporator and air outlet temperatures of the air conditioner corresponding to the different temperatures of the evaporator; and learning the sample data based on the sub-neural network model to generate the neural network model.
In this embodiment, before analyzing the temperature of the evaporator based on the neural network model to obtain the outlet air temperature of the air conditioner, the neural network model needs to be trained in advance. This embodiment can gather a large amount of sample data in advance, and this sample data also is experimental data, can include the different temperatures of evaporimeter, and the air-out temperature of the air conditioner that corresponds with the different temperatures of evaporimeter can be obtained through temperature sensor measurement.
After sample data is obtained, the sample data is learned based on a sub-neural network model, the sub-neural network model is an initially established neural network model, different temperatures of an evaporator can be used as input layers of the sub-neural network model, air outlet temperatures of an air conditioner corresponding to the different temperatures of the evaporator can be used as output layers of the sub-neural network model, a hidden layer can be a plurality of layers, preferably one layer, and training of a full-time neural network model of each layer is performed by using a large amount of sample data.
In this embodiment, detecting the temperature of the evaporator of the air conditioner is employed; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is, the temperature of the evaporator of the air conditioner is detected; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is to say, the temperature of the evaporator is analyzed based on the pre-trained neural network model, the temperature of the air outlet of the air conditioner corresponding to the temperature is obtained, and a temperature sensor does not need to be arranged, so that the technical problem that the cost for determining the air outlet temperature of the air conditioner is high is solved, and the technical effect of reducing the cost for determining the air outlet temperature of the air conditioner is achieved.
The embodiment of the invention also provides another method for determining the air outlet temperature of the air conditioner from the perspective of user interaction.
Fig. 2 is a flowchart of another method for determining an outlet air temperature of an air conditioner according to an embodiment of the present invention. As shown in fig. 2, the method may include:
and step S202, displaying the temperature of the evaporator of the air conditioner on the interactive interface.
In the technical solution provided in step S202 of the present invention, an evaporator is disposed in the air conditioner, the temperature of the evaporator is detected, and the temperature is also the intermediate temperature of the evaporator, the target tube temperature, and the inner tube temperature, and then the temperature of the evaporator of the air conditioner can be displayed on the interactive interface.
Optionally, a sensor for detecting the temperature of the evaporator of the air conditioner is further disposed in the air conditioner of this embodiment, and the sensor may be a temperature sensor, which is also a tube temperature sensor, and may detect the temperature of the evaporator of the air conditioner in real time.
In this embodiment, during the operation of the air conditioner, the temperature of the evaporator can be adjusted by the frequency of the compressor of the air conditioner, the opening degree of the expansion valve, and the rotation speed of the internal fan, and the control mode can be controlled by adopting PID controller control or fuzzy control.
And S204, displaying the air outlet temperature of the air conditioner on the interactive interface, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on the neural network model.
In the technical solution provided in step S204 of the present invention, after the temperature of the evaporator of the air conditioner is displayed on the interactive interface, the outlet air temperature of the air conditioner is displayed on the interactive interface, wherein the outlet air temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relationship between different temperatures of the evaporator and the outlet air temperature of the air conditioner.
In this embodiment, the temperature of the evaporator of the air conditioner and the air outlet temperature of the air conditioner are controlled in a linkage manner, a proper neural network model can be trained in advance, the temperature of the evaporator is used as an input layer of the neural network model, the air outlet temperature of the air conditioner is used as an output layer of the neural network model, the temperature of the evaporator is analyzed based on the neural network model to obtain the air outlet temperature of the air conditioner, and then the air outlet temperature of the air conditioner is output and displayed on an interactive interface.
As an optional implementation, the method further comprises: displaying the target outlet air temperature of the air conditioner on the interactive interface; and displaying the target temperature of the evaporator of the air conditioner on the interactive interface, wherein the target temperature of the evaporator is obtained by analyzing the target outlet air temperature of the air conditioner based on the neural network model.
In this embodiment, the air outlet temperature of the air conditioner may also be manually set, and the target air outlet temperature of the air conditioner may be displayed on the interactive interface, where the target air outlet temperature is a set value that the user sets the air outlet temperature as needed, the target air outlet temperature may be used as an input layer of the neural network model, the target temperature of the evaporator corresponding to the target air outlet temperature may be used as an output layer of the neural network model, and the target air outlet temperature of the air conditioner is calculated based on the neural network model, so as to obtain the target temperature of the evaporator, and the target temperature is displayed on the interactive interface, that is, if the temperature of the air outlet of the air conditioner is to reach the target temperature of the air conditioner, the temperature of the evaporator needs to reach the target temperature of the evaporator.
As an optional implementation manner, before displaying the target outlet air temperature of the air conditioner on the interactive interface, the method further includes: and responding to the touch operation instruction or the voice operation instruction to obtain the target air outlet temperature of the air conditioner.
In this embodiment, when the target outlet air temperature of the air conditioner is obtained, a touch operation instruction or a voice operation instruction input by a user may be responded, for example, the user inputs the touch operation instruction through a remote controller, and inputs the voice operation instruction through a voice input device, where the touch operation instruction or the voice operation instruction may carry a specific numerical value of the target outlet air temperature, so as to respond to the touch operation instruction or the voice operation instruction, obtain the target outlet air temperature of the air conditioner, and display the target outlet air temperature on an interactive interface.
In this embodiment, the temperature of the evaporator of the air conditioner is displayed on the interactive interface, and the air outlet temperature of the air conditioner is displayed on the interactive interface, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relationship between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is, the temperature of the evaporator of the air conditioner is detected; and analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is to say, the temperature of the evaporator is analyzed based on the pre-trained neural network model, the temperature of the air outlet of the air conditioner corresponding to the temperature is obtained, and a temperature sensor does not need to be arranged, so that the technical problem that the cost for determining the air outlet temperature of the air conditioner is high is solved, and the technical effect of reducing the cost for determining the air outlet temperature of the air conditioner is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example 2
The technical solution of the present invention is illustrated below with reference to preferred embodiments.
The embodiment provides a system for predicting air outlet temperature based on a neural network, which is characterized in that a neural network model of a mapping relation between the air outlet temperature and the intermediate temperature of an evaporator is constructed, wherein an input layer is the intermediate temperature of the evaporator, and an output layer is the air outlet temperature.
In the embodiment, the tube temperature sensor is arranged on the evaporator, the intermediate temperature of the evaporator is obtained through the tube temperature sensor, the corresponding air outlet temperature is detected through the temperature sensor, and the air outlet temperature is used as sample data to train the sub-neural network model to obtain the proper neural network model.
This embodiment can obtain the air-out temperature of air conditioner fast based on above-mentioned neural network model, through the temperature in real-time detection air-out temperature and room, compares the air-out temperature and compares with the temperature in room, obtains the contrast result, comes the governing system parameter according to the contrast result to need not to arrange temperature sensor at the air outlet of air conditioner, and then improved the efficiency of system response.
The user of this embodiment can control the air-out temperature through remote controller or voice input equipment for the accuse temperature of air conditioner is more accurate, makes user's experience feel stronger, thereby has improved the travelling comfort in room.
The above method is further explained below.
The air conditioner of the embodiment is provided with a sensor for detecting the intermediate temperature of the evaporator, can be adjusted through the frequency of the compressor, the opening degree of the expansion valve and the rotating speed of the inner fan, and can adopt PID control or fuzzy control in a control mode.
The intermediate temperature of the air conditioner evaporator and the air conditioner air outlet temperature are controlled in a linkage mode, and a neural network model is adopted in the control mode. FIG. 3 is a schematic diagram of a neural network model in accordance with an embodiment of the present invention. As shown in fig. 3, the input layer of the neural network model is the evaporator intermediate temperature, the output layer is the outlet air temperature of the air conditioner, the hidden layer may be a plurality of layers, and includes a plurality of hidden nodes, for example, including hidden node 1, hidden node 2, and hidden node 3, the hidden layer of the embodiment is preferably a layer, the training of the full-time neural network model of each layer is performed by using a large amount of sample data, and the detection of the outlet air temperature and the evaporator intermediate temperature in the sample data can be obtained by detecting with a temperature sensor.
Fig. 4 is a schematic diagram of a control system for predicting an outlet air temperature based on a neural network according to an embodiment of the present invention. As shown in fig. 4, the intermediate temperature of the evaporator of this embodiment can be adjusted by the frequency of the compressor, the opening degree of the expansion valve, and the rotation speed of the inner fan, and the control method thereof adopts PID control or fuzzy control. The user can also set the air outlet temperature (set value) through a remote controller or voice, the target intermediate temperature of the evaporator is calculated through the neural network model, and the rotating speed of the compressor, the opening degree of the expansion valve and the rotating speed of the inner fan are adjusted through PID or fuzzy control, so that the intermediate temperature of the evaporator reaches the target intermediate temperature, and the air outlet temperature of the air conditioner reaches the set value.
Through the prediction to the air-out temperature in this embodiment, can adjust the operating parameter of air conditioner in real time for the accuse temperature of air conditioner is more accurate, and the user can control the air-out temperature through remote controller or voice input equipment simultaneously, improves the travelling comfort in room, and then has promoted user experience, and need not to arrange temperature sensor again, thereby solved and carried out the big technical problem of cost of confirming to the air-out temperature of air conditioner, and then reached the air-out temperature that reduces the air conditioner and carried out the technological effect of cost confirmed.
Example 3
The invention also provides a device for determining the air outlet temperature of the air conditioner. It should be noted that the determination apparatus for determining the outlet air temperature of the air conditioner according to this embodiment may be used to execute the determination method for determining the outlet air temperature of the air conditioner shown in fig. 1 according to the embodiment of the present invention.
Fig. 5 is a schematic diagram of an apparatus for determining an outlet air temperature of an air conditioner according to an embodiment of the present invention. As shown in fig. 5, the device 50 for determining the outlet air temperature of the air conditioner may include: a detection unit 51 and an analysis unit 52.
And a detection unit 51 for detecting a temperature of an evaporator of the air conditioner.
And the analysis unit 52 is configured to analyze the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, where the neural network model is used to establish a mapping relationship between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
Optionally, the apparatus further comprises: the first obtaining unit is used for obtaining the temperature of the environment where the air conditioner is located after analyzing the temperature of the evaporator by using the neural network model to obtain the air outlet temperature of the air conditioner; comparing the outlet air temperature with the ambient temperature to obtain a comparison result; and the first adjusting unit is used for adjusting the operation parameters of the air conditioner based on the comparison result.
Optionally, the operating parameters of this embodiment include at least one of: frequency of a compressor of an air conditioner; opening degree of an expansion valve of an air conditioner; the rotating speed of the inner fan of the air conditioner.
Optionally, the apparatus further comprises: the second acquisition unit is used for acquiring the target outlet air temperature of the air conditioner; and the first analysis unit is used for analyzing the target air outlet temperature of the air conditioner based on the neural network model to obtain the target temperature of the evaporator.
Optionally, the apparatus further comprises: and the second adjusting unit is used for adjusting the operating parameters of the air conditioner after analyzing the target air outlet temperature based on the neural network model to obtain the target temperature of the evaporator until the temperature of the evaporator reaches the target temperature of the evaporator, wherein the air outlet temperature of the air conditioner reaches the target air outlet temperature of the air conditioner under the condition that the temperature of the evaporator reaches the target temperature of the evaporator.
Optionally, the second adjusting unit comprises: the determining module is used for determining a target operation parameter of the air conditioner corresponding to the target temperature of the evaporator; the acquiring module is used for acquiring a difference value between a target operation parameter of the air conditioner and an operation parameter of the air conditioner; and the adjusting module is used for adjusting the operation parameters of the air conditioner to the target operation parameters of the air conditioner based on the difference value.
Optionally, the second obtaining unit includes: and the response module is used for responding the touch operation instruction or the voice operation instruction to obtain the target air outlet temperature of the air conditioner.
Optionally, the apparatus further comprises: the third obtaining unit is used for obtaining sample data before analyzing the temperature of the evaporator based on the neural network model and obtaining the air outlet temperature of the air conditioner, wherein the sample data comprises: different temperatures of the evaporator and air outlet temperatures of the air conditioner corresponding to the different temperatures of the evaporator; and the training unit is used for learning the sample data based on the sub-neural network model to generate the neural network model.
In this embodiment, the temperature of the evaporator of the air conditioner is detected by the detection unit 51, and the temperature of the evaporator is analyzed by the analysis unit 52 based on the neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used to establish a mapping relationship between different temperatures of the evaporator and the air outlet temperatures of the corresponding air conditioners, that is, the temperature of the evaporator is analyzed based on the pre-trained neural network model to obtain the temperature of the air outlets of the air conditioners corresponding to the evaporator without arranging a temperature sensor, so that the technical problem of high cost for determining the air outlet temperature of the air conditioners is solved, and the technical effect of reducing the cost for determining the air outlet temperature of the air conditioners is achieved.
The invention also provides another air outlet temperature determination device of the air conditioner. It should be noted that the determining device of the outlet air temperature of the air conditioner in this embodiment may be used to execute the determining method of the outlet air temperature of the air conditioner shown in fig. 2 in the embodiment of the present invention.
Fig. 6 is a schematic diagram of another device for determining the outlet air temperature of an air conditioner according to an embodiment of the present invention. As shown in fig. 5, the device 60 for determining the outlet air temperature of the air conditioner may include: a first display unit 61 and a second display unit 62.
And a first display unit 61 for displaying the temperature of the evaporator of the air conditioner on the interactive interface.
And the second display unit 62 is configured to display the air outlet temperature of the air conditioner on the interactive interface, where the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used to establish a mapping relationship between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
Optionally, the apparatus further comprises: the third display unit is used for displaying the target air outlet temperature of the air conditioner on the interactive interface; and the fourth display unit is used for displaying the target temperature of the evaporator of the air conditioner on the interactive interface, wherein the target temperature of the evaporator is obtained by analyzing the target outlet air temperature of the air conditioner based on the neural network model.
Optionally, the apparatus further comprises: and the response unit is used for responding to the touch operation instruction or the voice operation instruction before the target air outlet temperature of the air conditioner is displayed on the interactive interface to obtain the target air outlet temperature of the air conditioner.
In this embodiment, the temperature of the evaporator of the air conditioner is displayed on the interactive interface through the first display unit 61, and the air outlet temperature of the air conditioner is displayed on the interactive interface through the second display unit 62, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relationship between different temperatures of the evaporator and the air outlet temperature of the air conditioner. That is to say, the temperature of the evaporator is analyzed based on the pre-trained neural network model, the temperature of the air outlet of the air conditioner corresponding to the temperature is obtained, and a temperature sensor does not need to be arranged, so that the technical problem that the cost for determining the air outlet temperature of the air conditioner is high is solved, and the technical effect of reducing the cost for determining the air outlet temperature of the air conditioner is achieved.
Example 4
The embodiment of the invention also provides an air conditioner, which can comprise the device for determining the outlet air temperature of the air conditioner.
Example 5
The embodiment of the invention also provides a storage medium. The storage medium comprises a stored program, wherein when the program runs, the equipment where the storage medium is located is controlled to execute the method for determining the outlet air temperature of the air conditioner.
Example 6
The embodiment of the invention also provides a processor. The processor is used for running a program, wherein the program executes the method for determining the outlet air temperature of the air conditioner in the embodiment of the invention when running.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (16)
1. A method for determining the outlet air temperature of an air conditioner is characterized by comprising the following steps:
detecting the temperature of an evaporator of the air conditioner;
analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
2. The method of claim 1, wherein after analyzing the temperature of the evaporator using a neural network model to obtain the outlet air temperature of the air conditioner, the method further comprises:
acquiring the temperature of the environment where the air conditioner is located;
comparing the outlet air temperature with the ambient temperature to obtain a comparison result;
and adjusting the operation parameters of the air conditioner based on the comparison result.
3. The method of claim 2, wherein the operating parameter comprises at least one of:
a frequency of a compressor of the air conditioner;
the opening degree of an expansion valve of the air conditioner;
and the rotating speed of an inner fan of the air conditioner.
4. The method of claim 1, further comprising:
acquiring a target air outlet temperature of the air conditioner;
and analyzing the target air outlet temperature of the air conditioner based on the neural network model to obtain the target temperature of the evaporator.
5. The method of claim 4, wherein after analyzing the target outlet air temperature based on the neural network model to obtain a target temperature of the evaporator, the method further comprises:
and adjusting the operation parameters of the air conditioner until the temperature of the evaporator reaches the target temperature of the evaporator, wherein the air outlet temperature of the air conditioner reaches the target air outlet temperature of the air conditioner under the condition that the temperature of the evaporator reaches the target temperature of the evaporator.
6. The method of claim 5, wherein adjusting the operating parameter of the air conditioner until the temperature of the evaporator reaches the target temperature of the evaporator comprises:
determining a target operating parameter of the air conditioner corresponding to a target temperature of the evaporator;
acquiring a difference value between a target operation parameter of the air conditioner and an operation parameter of the air conditioner;
adjusting an operating parameter of the air conditioner to a target operating parameter of the air conditioner based on the difference.
7. The method of claim 4, wherein obtaining the target outlet air temperature of the air conditioner comprises:
and responding to a touch operation instruction or a voice operation instruction to obtain the target air outlet temperature of the air conditioner.
8. The method according to any one of claims 1 to 7, wherein before analyzing the temperature of the evaporator based on a neural network model to obtain the outlet air temperature of the air conditioner, the method further comprises:
obtaining sample data, wherein the sample data comprises: different temperatures of the evaporator and air outlet temperatures of the air conditioner corresponding to the different temperatures of the evaporator;
and learning the sample data based on a sub-neural network model to generate the neural network model.
9. A method for determining the outlet air temperature of an air conditioner is characterized by comprising the following steps:
displaying the temperature of an evaporator of the air conditioner on an interactive interface;
and displaying the air outlet temperature of the air conditioner on the interactive interface, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
10. The method of claim 9, further comprising:
displaying the target outlet air temperature of the air conditioner on the interactive interface;
and displaying the target temperature of the evaporator of the air conditioner on the interactive interface, wherein the target temperature of the evaporator is obtained by analyzing the target air outlet temperature of the air conditioner based on the neural network model.
11. The method of claim 10, wherein prior to displaying the target outlet air temperature of the air conditioner on the interactive interface, the method further comprises:
and responding to a touch operation instruction or a voice operation instruction to obtain the target air outlet temperature of the air conditioner.
12. The utility model provides a device for confirming air-out temperature of air conditioner which characterized in that includes:
a detection unit for detecting a temperature of an evaporator of an air conditioner;
and the analysis unit is used for analyzing the temperature of the evaporator based on a neural network model to obtain the air outlet temperature of the air conditioner, wherein the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
13. The utility model provides a device for confirming air-out temperature of air conditioner which characterized in that includes:
the first display unit is used for displaying the temperature of the evaporator of the air conditioner on an interactive interface;
and the second display unit is used for displaying the air outlet temperature of the air conditioner on the interactive interface, wherein the air outlet temperature of the air conditioner is obtained by analyzing the temperature of the evaporator based on a neural network model, and the neural network model is used for establishing a mapping relation between different temperatures of the evaporator and the air outlet temperature of the air conditioner.
14. An air conditioner characterized by comprising the air conditioner outlet air temperature determination device of claim 12 or 13.
15. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the method of any one of claims 1 to 11.
16. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 11.
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