CN113446710B - Air conditioner control method and device and air conditioner - Google Patents
Air conditioner control method and device and air conditioner Download PDFInfo
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- CN113446710B CN113446710B CN202110322309.2A CN202110322309A CN113446710B CN 113446710 B CN113446710 B CN 113446710B CN 202110322309 A CN202110322309 A CN 202110322309A CN 113446710 B CN113446710 B CN 113446710B
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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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
- F24F11/87—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units
- F24F11/871—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units by controlling outdoor fans
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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
Abstract
The application relates to the technical field of intelligent air conditioners, and discloses a method and a device for controlling an air conditioner and the air conditioner. The method comprises the following steps: acquiring a current indoor environment parameter value and a current device operation parameter value of an air conditioner; searching the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value in an artificial intelligence AI model database, and obtaining the current optimal rotation speed of the outdoor fan; and controlling the operation of the outdoor fan of the air conditioner according to the optimal rotating speed of the current outdoor fan. The optimal running state of the air conditioner is realized, the performance of the air conditioner unit is improved, and resources are saved.
Description
Technical Field
The present application relates to the technical field of intelligent air conditioners, for example, to a method and an apparatus for controlling an air conditioner, and an air conditioner.
Background
Air conditioners are widely used as a common intelligent device for adjusting indoor environment temperature and humidity. At present, the air conditioner outdoor unit generally adopts a single target pressure point to control the rotating speed of the outdoor fan, namely, the rotating speed of the outdoor fan is controlled according to a target condensing pressure value and an actual condensing pressure value, however, in the control process, interference output or insufficient output exists more or less, the optimal running state of the system cannot be matched, and the phenomenon is more obvious along with the change of working conditions in seasons of the whole year, so that the performance of the unit is limited, and the energy-saving requirement cannot be met.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a method and a device for controlling an air conditioner and the air conditioner, so as to solve the technical problem that the performance of the air conditioner is to be optimized.
In some embodiments, the method comprises:
acquiring a current indoor environment parameter value and a current device operation parameter value of an air conditioner;
searching the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value in an artificial intelligence AI model database, and obtaining the current optimal rotation speed of the outdoor fan;
and controlling the operation of the outdoor fan of the air conditioner according to the optimal rotating speed of the current outdoor fan.
In some embodiments, the apparatus comprises:
the acquisition module is configured to acquire a current indoor environment parameter value and a current device operation parameter value of the air conditioner;
the rotating speed determining module is configured to obtain the current optimal rotating speed of the outdoor fan under the condition that the current optimal rotating speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is found in an artificial intelligence AI model database;
And the control module is configured to control the operation of the outdoor fan of the air conditioner according to the current optimal rotating speed of the outdoor fan.
In some embodiments, the apparatus for air conditioning control includes a processor and a memory storing program instructions, the processor being configured to perform the above-described method for air conditioning control when executing the program instructions.
In some embodiments, the air conditioner comprises the device for controlling the air conditioner.
The method and the device for controlling the air conditioner and the air conditioner provided by the embodiment of the disclosure can realize the following technical effects:
the information is compared through the artificial intelligent AI model, intelligent optimizing is achieved, the optimal rotating speed of the current outdoor fan corresponding to the current indoor environment parameter value and the current device operation parameter value of the air conditioner can be directly matched, the outdoor fan is controlled, the optimal operation state of the air conditioner is achieved, the performance of an air conditioner unit is improved, and resources are saved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
Fig. 1 is a schematic structural view of an air conditioner according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a method for controlling an air conditioner according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of a method for controlling an air conditioner according to an embodiment of the present disclosure;
fig. 4 is a schematic structural view of an air conditioner control device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural view of an air conditioner control device according to an embodiment of the present disclosure;
fig. 6 is a schematic structural view of an air conditioner control device according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
In the embodiment of the disclosure, an artificial intelligence (Artificial Intelligence, AI) model is configured in an air conditioner or a cloud server, and the AI model can perform data acquisition, model training and intelligent optimal searching, namely, a large amount of data information is stored in an AI model database, so that depending on the data in the AI model database, the optimal outdoor fan rotating speed, target condensing pressure or condensing temperature matched with the indoor environment parameter value and the device operation parameter value of the air conditioner can be searched for, and thus, the outdoor fan rotating speed in the optimal operation state of the air conditioner can be obtained, and the outdoor fan operation of the air conditioner is controlled, thereby improving the performance of an air conditioner set, improving the efficiency of the air conditioner and saving resources.
Fig. 1 is a schematic structural diagram of an air conditioner according to an embodiment of the present disclosure. As shown in fig. 1, the air conditioner includes a plurality of devices, in which a refrigerant carrying device 1, a condenser 2, a throttling device 3, an evaporator 4 are sequentially connected into a circulation system loop, and an outdoor fan 5 provided on the condenser 2, an indoor fan 6 provided on the evaporator 4. Wherein the condensing agent carrier device 1 may be a compressor or a fluorine pump.
In the embodiment of the disclosure, the rotating speed of the outdoor fan of the air conditioner under the optimal performance can be controlled.
Fig. 2 is a schematic flow chart of a method for controlling an air conditioner according to an embodiment of the present disclosure. As shown in fig. 2, the process for air conditioning control includes:
step 201: and acquiring the current indoor environment parameter value and the current device operation parameter value of the air conditioner.
In this embodiment of the present disclosure, an air conditioner or a server may acquire, at regular time or in real time, an indoor environment parameter value of an environment where the air conditioner is located, where the indoor environment parameter value acquired at a current sampling time is a current indoor environment parameter value, where the current indoor environment parameter value includes: one or more of a current temperature value, a current humidity value, a current fine particulate matter concentration value, and the like.
The air conditioner includes a plurality of devices, as shown in fig. 1, including: condensing agent carrier, indoor fan, outdoor fan. In this way, the air conditioner or the server can acquire the device operation parameter value of the air conditioner at regular time or in real time, and the device operation parameter value acquired at the current sampling time is the current device operation parameter value, wherein the current device operation parameter value comprises: one or more of current condensing agent carrier operating frequency, current indoor fan rotational speed, current outdoor fan rotational speed, etc.
Step 202: and under the condition that the current optimal rotating speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is found out in the artificial intelligent AI model database, the current optimal rotating speed of the outdoor fan is obtained.
In an air conditioner or a server, an AI model is configured, and the AI model can perform data acquisition, model training, intelligent optimization searching and the like, namely a large amount of data information can be stored in an AI model database. Thus, it can be checked in the artificial intelligence AI model database whether there is a current outdoor fan optimum speed matching the current indoor environment parameter value and the current device operating parameter value? If so, the optimal rotating speed of the current outdoor fan can be obtained, and intelligent optimizing is realized.
In the data acquisition process, the AI model can directly store the corresponding relation between the indoor environment parameter value and the device operation parameter value and the rotation speed of the outdoor fan in the AI model database to obtain a training sample of the artificial intelligent AI model, so that model training can be carried out according to the stored training sample to obtain a large number of corresponding relations between the indoor environment parameter value and the device operation parameter value and the rotation speed of the outdoor fan, and the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value can be found in the artificial intelligent AI model database to obtain the current optimal rotation speed of the outdoor fan.
Step 203: and controlling the operation of the outdoor fan of the air conditioner according to the current optimal rotating speed of the outdoor fan.
The air conditioner can directly control the operation of the outdoor fan of the air conditioner according to the optimal rotating speed of the current outdoor fan, or the server sends the optimal rotating speed of the current outdoor fan to the air conditioner to control the operation of the outdoor fan of the air conditioner.
Therefore, in the embodiment, the information is compared and the intelligent optimizing is performed through the artificial intelligent AI model, so that the optimal rotating speed of the current outdoor fan corresponding to the current indoor environment parameter value and the current device operating parameter value of the air conditioner can be directly matched, the control of the outdoor fan is performed, the optimal operating state of the air conditioner is realized, the performance of an air conditioner unit is improved, and resources are saved.
At the initial stage of data acquisition, the AI model has no or a small amount of correspondence between the indoor environment parameter value and the device operation parameter value and the outdoor fan rotating speed in the AI model database, that is, the training sample is still small, so that the model training cannot form a large amount of correspondence between the indoor environment parameter value and the device operation parameter value and the outdoor fan rotating speed yet, and therefore, the current outdoor fan optimal rotating speed matched with the current indoor environment parameter value and the current device operation parameter value may not be found in the artificial intelligence AI model database, at this time, whether the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is found in one step? If yes, the optimal rotating speed of the current outdoor fan can be determined through the current target condensing pressure. In the embodiment of the disclosure, the target condensing pressure is not fixedly preset, and is an optimal condensing pressure which can be matched with the indoor environment parameter value and the device operation parameter value.
Thus, in some embodiments, obtaining the current optimal rotational speed of the outdoor fan further comprises: if the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligent AI model database, the current target condensing pressure is obtained, and the current actual condensing pressure of the air conditioner is obtained; according to the current target condensing pressure and the current actual condensing pressure, proportional-differential integral PID control is carried out to obtain the rotating speed of the first outdoor fan; and under the condition that the current actual condensing pressure is equal to the current target condensing pressure, adjusting the rotating speed of the first outdoor fan according to an optimal power value corresponding to the optimal performance of the air conditioner to obtain the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value, wherein the optimal performance is determined by comparing the recorded air conditioner power values.
The optimal performance of the air conditioner can be determined according to the operation parameter values of one or more devices of the air conditioner, wherein the optimal performance of the air conditioner can be determined by acquiring the operation frequency, the superheat degree, the supercooling degree, the suction and exhaust pressure, the power, and the like of the condensing agent carrying device, acquiring the power of an indoor fan and an outdoor fan, performing real-time calculation and comparison, and obtaining the optimal power value of the air conditioner, or the optimal performance of the air conditioner can be determined by acquiring the return air temperature and humidity, the supply air temperature and humidity, the air quantity, the operation power of the condensing agent carrying device, the power of the indoor fan and the outdoor fan, performing real-time calculation and comparison, and obtaining the optimal power value of the air conditioner.
In general, the device operation parameter value of the air conditioner is obtained in real time or in a fixed time, so that real-time calculation and comparison can be performed to determine the optimal performance, and thus, after PID control is performed, the current actual condensing pressure is equal to the current target condensing pressure, at this time, the first outdoor fan rotating speed corresponding to the current actual condensing pressure and the current target condensing pressure can be adjusted according to the optimal power value corresponding to the optimal performance of the air conditioner, so as to obtain the current outdoor fan optimal rotating speed matched with the current indoor environment parameter value and the current device operation parameter value.
Therefore, in the artificial intelligent AI model database, under the condition that the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is not found, PID control and adjustment are performed on the found current target condensing pressure and the obtained current actual condensing pressure to obtain the optimal rotating speed of the current outdoor fan corresponding to the optimal performance of the air conditioner, and then the outdoor fan control of the air conditioner is performed, so that the optimal operation state of the air conditioner is realized, the performance of an air conditioning unit is improved, and resources are saved.
Of course, the current optimal rotational speed of the outdoor fan corresponding to the optimal performance of the air conditioner is obtained, and in some embodiments, the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current optimal rotational speed of the outdoor fan can be stored in the artificial intelligent AI model database, so as to obtain a training sample of the artificial intelligent AI model.
Similarly, at the initial stage of data acquisition, the AI model has no or a small number of training samples in the AI model database, so that the current outdoor fan optimal rotation speed matched with the current indoor environment parameter value and the current device operation parameter value is not found, the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is not found, at the moment, the target condensing pressure can be calculated according to the current condensing temperature of the condenser, and the current outdoor fan optimal rotation speed is further obtained.
In some embodiments, obtaining the current target condensing pressure further comprises: the air conditioner stores a preset loop in an artificial intelligent AI model database, and under the condition that the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is not found, if the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligent AI model database, the current condensing temperature is obtained; and obtaining the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value through a saturated steam temperature pressure calculation formula according to the current condensing temperature.
After the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is obtained, the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current target condensing pressure can be stored in an artificial intelligence AI model database, and a training sample of the artificial intelligence AI model is obtained. I.e., the training samples in the AI model are increased.
Similarly, at the initial stage of data acquisition, the AI model has no or a small number of training samples in the AI model database, so that the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value cannot be found in the artificial intelligence AI model database, and at the moment, the current condensing temperature can be obtained through fitting operation. In some embodiments, obtaining the current condensing temperature further comprises: acquiring a current outdoor environment parameter value under the condition that the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value is not found in an artificial intelligence AI model database; and performing fitting operation according to the current indoor environment parameter value, the current device operation parameter value and the current indoor environment parameter value to obtain the current condensation temperature matched with the current indoor environment parameter value and the current device operation parameter value.
And the current condensing temperature is obtained, and the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current condensing temperature can be stored in an artificial intelligence AI model database to obtain a training sample of the artificial intelligence AI model. Training samples in the AI model are also added.
Of course, training samples in the AI model not only can be accumulated in the air-conditioning control process, but also can be communicated through the internet to obtain a large number of training samples. The AI model database can store one air conditioner or a plurality of air conditioners, and the obtained current indoor environment parameter value and the current device operation parameter value are respectively corresponding to the current optimal rotating speed of the outdoor fan, the current target condensing pressure and the current condensing temperature in the air conditioner control process. A large number of training samples are saved, and the AI model can perform model training to obtain more indoor environment parameter values and device operation parameter values which are respectively corresponding to the current optimal rotating speed, target condensing pressure and condensing temperature of the outdoor fan. The AI model database has more data information, and can support intelligent optimization.
Therefore, in the embodiment of the disclosure, the AI model in the air conditioner or in the server can obtain the optimal outdoor fan rotating speed, the target condensing pressure or the condensing temperature which are respectively matched with the indoor environment parameter value and the device operation parameter value of the air conditioner under a large number of optimal performances of the air conditioner through data acquisition and sample training, so that in the air conditioner control process, intelligent optimization can be directly performed through the AI model to obtain the current outdoor fan optimal rotating speed corresponding to the current indoor environment parameter value and the current device operation parameter value of the air conditioner, the outdoor fan control is performed, the optimal operation state of the air conditioner is realized, the performance of an air conditioner unit is improved, and resources are saved.
The following integrates the operation flow into a specific embodiment, and illustrates the air conditioner control process provided by the embodiment of the invention.
In this embodiment, an AI model is configured in the air conditioner, and the refrigerant carrying device of the air conditioner is a compressor.
Fig. 3 is a schematic flow chart of a method for controlling an air conditioner according to an embodiment of the present disclosure. The process for air conditioning control in connection with fig. 3 includes:
step 301: and acquiring a current indoor environment parameter value and a current device operation parameter value of the environment where the air conditioner is located.
In this embodiment, the current indoor environment parameter values include: a current indoor temperature; and current device operating parameter values include: current compressor operating frequency, current indoor fan speed, current outdoor fan speed.
Step 302: is the current outdoor fan optimal rotational speed matching the current indoor environment parameter value and the current device operating parameter value found in the artificial intelligence AI model database? If yes, go to step 303, otherwise, go to step 305.
Step 303: and obtaining the current optimal rotating speed of the outdoor fan.
Step 304: and controlling the operation of the outdoor fan of the air conditioner according to the current optimal rotating speed of the outdoor fan.
Step 305: determining if a current target condensing pressure matching a current indoor environment parameter value and a current device operating parameter value is found in an artificial intelligence AI model database? If yes, go to step 306, otherwise, go to step 311.
Step 306: and obtaining the current target condensing pressure and the current actual condensing pressure of the air conditioner.
Step 307: and performing PID control according to the current target condensing pressure and the current actual condensing pressure to obtain the rotating speed of the first outdoor fan.
Step 308: determine whether the current actual condensing pressure is equal to the current target condensing pressure? If yes, go to step 309, otherwise, return to step 306.
Step 309: and calculating and comparing the recorded device operation parameter values, determining an optimal power value corresponding to the optimal performance of the air conditioner, and adjusting the rotating speed of the first outdoor fan according to the optimal power value to obtain the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value.
Step 310: and storing the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current optimal rotating speed of the outdoor fan in an artificial intelligence AI model database. Proceed to step 304.
Step 311: determining if a current condensing temperature matching a current indoor environment parameter value and a current device operating parameter value is found in an artificial intelligence AI model database? If yes, go to step 312, otherwise, go to step 314.
Step 312: and obtaining the current condensing temperature, and obtaining the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value according to the current condensing temperature and the saturated steam temperature pressure calculation formula.
Step 313: and storing the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current target condensation pressure in an artificial intelligence AI model database. Returning to step 306.
Step 314: acquiring a current outdoor environment parameter value; and performing fitting operation according to the current indoor environment parameter value, the current device operation parameter value and the current indoor environment parameter value to obtain the current condensation temperature matched with the current indoor environment parameter value and the current device operation parameter value.
In this embodiment, the current outdoor environment parameter values may include: the current outdoor temperature can obtain the difference between the current outdoor temperature and the current indoor temperature, then, according to the temperature difference and the current compressor operating frequency, a fitting formula preset according to the air conditioner performance is carried out, and the operation is carried out, so that the current condensing temperature matched with the current indoor environment parameter value and the current device operating parameter value can be obtained.
Step 315: and storing the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current condensation temperature in an artificial intelligence AI model database. Returning to step 312.
It can be seen that, in this embodiment, the AI module is saved in the air conditioner, and the information is compared and intelligently optimized through the artificial intelligent AI model, so that the current outdoor fan optimal rotation speed corresponding to the current indoor environment parameter value and the current device operation parameter value of the air conditioner can be directly matched, or the data acquisition and the model training are performed through the AI model, and finally the current outdoor fan optimal rotation speed corresponding to the current indoor environment parameter value and the current device operation parameter value of the air conditioner is obtained and the outdoor fan operation of the air conditioner is controlled, thereby improving the performance of the air conditioner set, improving the efficiency of the air conditioner and saving the resources.
Of course, the AI module may also control one, two and multiple air conditioners in the cloud server, that is, in the AI module database, the rotation speed, the target condensation pressure or the condensation temperature of the outdoor fan, which are respectively corresponding to each air conditioner and are matched with the indoor environment parameter value and the device operation parameter value, may be stored, so that the cloud server may communicate with the air conditioner to obtain the current indoor environment parameter value and the current device operation parameter value of the current air conditioner, intelligently optimize, find the current optimal rotation speed, the current target condensation pressure or the current condensation temperature of the current outdoor fan, finally obtain the current optimal rotation speed of the outdoor fan corresponding to the current optimal performance of the current air conditioner, send the current rotation speed to the current air conditioner, and control the operation of the outdoor fan of the current air conditioner. The process of intelligent optimization by the cloud server through the AI module may be as described in the above embodiment, and the specific process will not be described again.
According to the above-described procedure for air conditioning control, an apparatus for air conditioning control can be constructed.
Fig. 4 is a schematic structural view of an air conditioner control device according to an embodiment of the present disclosure. As shown in fig. 4, the control device for an air conditioner includes: an acquisition module 410, a rotation speed determination module 420, and a control module 430.
An acquisition module 410 configured to acquire a current indoor environment parameter value and a current device operation parameter value of the air conditioner.
The rotation speed determining module 420 is configured to obtain the current optimal rotation speed of the outdoor fan under the condition that the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database;
and a control module 430 configured to control the operation of the outdoor fan of the air conditioner according to the current optimal rotation speed of the outdoor fan.
In some embodiments, the rotational speed determination module 420 further includes: the system comprises a pressure determination sub-module, a PID control unit sub-module and an adjustment sub-module.
The pressure determining sub-module is configured to obtain a current target condensing pressure and obtain a current actual condensing pressure of the air conditioner when the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database under the condition that the current outdoor fan optimal rotating speed matched with the current indoor environment parameter value and the current device operation parameter value is not found in the artificial intelligence AI model database.
And the PID control sub-module is configured to perform PID control according to the current target condensing pressure and the current actual condensing pressure to obtain the rotating speed of the first outdoor fan.
The adjusting sub-module is configured to adjust the rotating speed of the first outdoor fan according to the optimal power value corresponding to the optimal performance of the air conditioner under the condition that the current actual condensing pressure is equal to the current target condensing pressure, so as to obtain the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value, wherein the optimal performance is determined by comparing the recorded air conditioner power values.
In some embodiments, further comprising: the first storage module is configured to store the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current optimal rotating speed of the outdoor fan in the artificial intelligent AI model database, so as to obtain a training sample of the artificial intelligent AI model.
In some embodiments, the pressure determination sub-module further comprises: a temperature determination unit and a pressure calculation unit.
The temperature determining unit is configured to obtain the current condensing temperature when the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database under the condition that the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is not found in the artificial intelligence AI model database;
And the pressure calculation unit is configured to obtain the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value according to the current condensing temperature and the saturated steam temperature and pressure calculation formula.
In some embodiments, further comprising: and the second storage module is configured to store the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current target condensation pressure in the artificial intelligence AI model database, so as to obtain a training sample of the artificial intelligence AI model.
In some embodiments, the temperature determination unit further comprises: and the outdoor acquisition subunit and the fitting subunit.
And an outdoor acquisition subunit configured to acquire the current outdoor environment parameter value in the artificial intelligence AI model database without finding a current condensing temperature matching the current indoor environment parameter value and the current device operation parameter value.
And the fitting subunit is configured to perform fitting operation according to the current indoor environment parameter value, the current device operation parameter value and the current indoor environment parameter value to obtain the current condensation temperature matched with the current indoor environment parameter value and the current device operation parameter value.
In some embodiments, further comprising: and the third storage module is configured to store the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current condensation temperature in the artificial intelligence AI model database to obtain a training sample of the artificial intelligence AI model.
The device for controlling the air conditioner can be applied to the air conditioner and also can be applied to a cloud server.
An air conditioner control process applied to an apparatus for air conditioner control in an air conditioner is specifically described below.
In this embodiment, the cloud server is configured with an AI module, that is, the device for controlling air conditioners is applied to the cloud server and can communicate with a plurality of air conditioners.
Fig. 5 is a schematic structural view of an air conditioner control device according to an embodiment of the present disclosure.
As shown in fig. 5, the control device for an air conditioner includes: the obtaining module 410, the rotation speed determining module 420, the control module 430, the first saving module 440, the second saving module 450, and the third saving module 460, wherein the rotation speed determining module 420 further includes: a pressure determination sub-module 421, a PID control unit sub-module 422, and an adjustment sub-module 423. And the pressure determination submodule 421 may further include: a temperature determination unit 4211 and a pressure calculation unit 4212. The temperature determining unit 4211 may then include: an outdoor acquisition subunit 42111 and a fitting subunit 42112.
Wherein, by communicating with a current air conditioner, the obtaining module 410 obtains a current indoor environment parameter value and a current device operation parameter value of an environment in which the current air conditioner is located. And when the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database, the rotation speed determination module 420 can obtain the current optimal rotation speed of the outdoor fan. Thus, the control module 430 may communicate with the current air conditioner, transmit the current optimal rotational speed of the outdoor fan, and control the operation of the outdoor fan of the current air conditioner.
In the artificial intelligence AI model database, the current outdoor fan optimal rotation speed matched with the current indoor environment parameter value and the current device operation parameter value is not found, but when the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database, the pressure determination submodule 421 can obtain the current target condensing pressure and obtain the current actual condensing pressure of the air conditioner. The PID control sub-module 422 may perform PID control according to the current target condensation pressure, the current actual condensation pressure, and obtain the first outdoor fan rotation speed. In this case, the adjusting sub-module 423 may calculate and compare the recorded device operation parameter values to determine an optimal power value corresponding to the optimal performance of the air conditioner, and adjust the rotation speed of the first outdoor fan according to the optimal power value to obtain the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value. Accordingly, the first storage module 440 may store, in the artificial intelligence AI model database, a correspondence between the current indoor environment parameter value and the current device operation parameter value, and the current optimal rotational speed of the outdoor fan, to obtain a training sample of the artificial intelligence AI model. The control module 430 can communicate with the current air conditioner, send the optimal rotation speed of the current outdoor fan, and control the operation of the outdoor fan of the current air conditioner.
Of course, if the current target condensation pressure matching the current indoor environment parameter value and the current device operation parameter value cannot be found, if the current condensation temperature matching the current indoor environment parameter value and the current device operation parameter value can be found in the artificial intelligence AI model database, the temperature determination unit 4211 may obtain the current condensation temperature. And the pressure calculating unit 4212 may obtain the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value through the saturated steam temperature pressure calculation formula according to the current condensing temperature. Thus, the second saving module 450 may save the corresponding relationship between the current indoor environment parameter value and the current device operation parameter value and the current target condensation pressure in the artificial intelligence AI model database, to obtain a training sample of the artificial intelligence AI model.
In the artificial intelligence AI model database, if the current condensation temperature matching the current indoor environment parameter value and the current device operation parameter value is not found, the outdoor acquisition subunit 42111 may acquire the current outdoor environment parameter value, and the fitting subunit 42112 may perform a fitting operation according to the current indoor environment parameter value, the current device operation parameter value, and the current indoor environment parameter value, to obtain the current condensation temperature matching the current indoor environment parameter value and the current device operation parameter value. Thus, the third preservation module 460 may preserve the correspondence between the current indoor environment parameter value and the current device operation parameter value, and the current condensation temperature, in the artificial intelligence AI model database, to obtain a training sample of the artificial intelligence AI model.
It can be seen that, in this embodiment, the device for controlling an air conditioner is applied to a cloud server, in which an AI module is stored, and information comparison is performed through an artificial intelligent AI model, so that the optimal rotation speed of a current outdoor fan corresponding to a current indoor environment parameter value and a current device operation parameter value of the air conditioner can be directly matched, or data acquisition and model training are performed through the AI model, and finally, the optimal rotation speed of the current outdoor fan corresponding to the current indoor environment parameter value and the current device operation parameter value of the air conditioner is obtained and sent to the air conditioner, and the operation of the outdoor fan of the air conditioner is controlled.
An embodiment of the present disclosure provides an apparatus for controlling an air conditioner, having a structure as shown in fig. 6, including:
a processor (processor) 1000 and a memory (memory) 1001, and may also include a communication interface (Communication Interface) 1002 and a bus 1003. The processor 1000, the communication interface 1002, and the memory 1001 may communicate with each other via the bus 1003. The communication interface 1002 may be used for information transfer. The processor 1000 may call logic instructions in the memory 1001 to perform the method for air conditioning control of the above-described embodiment.
Further, the logic instructions in the memory 1001 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.
The memory 1001 is used as a computer readable storage medium for storing a software program and a computer executable program, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 1000 performs functional applications and data processing by executing program instructions/modules stored in the memory 1001, i.e., implements the method for air conditioning control in the above-described method embodiment.
The memory 1001 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal air conditioner, etc. In addition, the memory 1001 may include a high-speed random access memory, and may also include a nonvolatile memory.
The embodiment of the disclosure provides an air conditioner control device, comprising: the air conditioner control system includes a processor and a memory storing program instructions, the processor being configured to execute a control method for the air conditioner when the program instructions are executed.
The embodiment of the disclosure provides an air conditioner, which comprises the air conditioner control device.
The embodiment of the disclosure provides a cloud server, which comprises the air conditioner control device.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for controlling an air conditioner.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for air conditioning control.
The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product stored in a storage medium, where the software product includes one or more instructions for causing a computer air conditioner (which may be a personal computer, a server, or a network air conditioner, etc.) to perform all or part of the steps of the methods described in the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or a transitory storage medium.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. The scope of the embodiments of the present disclosure encompasses the full ambit of the claims, as well as all available equivalents of the claims. When used in this application, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without changing the meaning of the description, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first element and the second element are both elements, but may not be the same element. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in this application, the terms "comprises," "comprising," and/or "includes," and variations thereof, mean that the stated features, integers, steps, operations, elements, and/or components are present, but that the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of additional identical elements in a process, method or air conditioner comprising said element. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, air conditioners, etc.) may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (7)
1. A method for air conditioning control, comprising:
acquiring a current indoor environment parameter value and a current device operation parameter value of an air conditioner;
searching the current optimal rotation speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value in an artificial intelligence AI model database, and obtaining the current optimal rotation speed of the outdoor fan;
under the condition that the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is not found in an artificial intelligence AI model database, if the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database, the current target condensing pressure is obtained;
if the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database under the condition that the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is not found in the artificial intelligence AI model database, the current condensing temperature is obtained;
Acquiring a current outdoor environment parameter value under the condition that the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value is not found in the artificial intelligence AI model database; performing fitting operation according to the current indoor environment parameter value, the current device operation parameter value and the current outdoor environment parameter value to obtain a current condensation temperature matched with the current indoor environment parameter value and the current device operation parameter value;
obtaining a current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value through a saturated steam temperature pressure calculation formula according to the current condensing temperature;
acquiring the current actual condensing pressure of the air conditioner;
PID control is carried out according to the current target condensing pressure and the current actual condensing pressure to obtain the rotating speed of the first outdoor fan;
when the current actual condensing pressure is equal to the current target condensing pressure, adjusting the rotating speed of the first outdoor fan according to an optimal power value corresponding to the optimal performance of the air conditioner to obtain the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value, wherein the optimal performance is determined by comparing the recorded air conditioner power values;
And controlling the operation of the outdoor fan of the air conditioner according to the optimal rotating speed of the current outdoor fan.
2. The method as recited in claim 1, further comprising:
and storing the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current optimal rotating speed of the outdoor fan in the artificial intelligent AI model database to obtain a training sample of the artificial intelligent AI model.
3. The method as recited in claim 1, further comprising:
and storing the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current target condensing pressure in the artificial intelligence AI model database to obtain a training sample of the artificial intelligence AI model.
4. The method as recited in claim 1, further comprising:
and storing the corresponding relation between the current indoor environment parameter value and the current device operation parameter value and the current condensation temperature in the artificial intelligence AI model database to obtain a training sample of the artificial intelligence AI model.
5. An apparatus for controlling an air conditioner, comprising:
The acquisition module is configured to acquire a current indoor environment parameter value and a current device operation parameter value of the air conditioner;
the rotating speed determining module is configured to obtain the current optimal rotating speed of the outdoor fan under the condition that the current optimal rotating speed of the outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value is found in an artificial intelligence AI model database; the rotational speed determination module further includes: a pressure determination sub-module, a PID control unit sub-module, and an adjustment sub-module;
the pressure determining submodule is configured to obtain a current target condensing pressure and obtain a current actual condensing pressure of the air conditioner when the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database under the condition that the current outdoor fan optimal rotating speed matched with the current indoor environment parameter value and the current device operation parameter value is not found in the artificial intelligence AI model database;
the pressure determination sub-module further includes: a temperature determination unit and a pressure calculation unit; the temperature determining unit is configured to obtain the current condensing temperature when the current condensing temperature matched with the current indoor environment parameter value and the current device operation parameter value is found in the artificial intelligence AI model database under the condition that the current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value is not found in the artificial intelligence AI model database;
The temperature determination unit further includes: an outdoor acquisition subunit and a fitting subunit; an outdoor acquisition subunit configured to acquire a current outdoor environment parameter value in the artificial intelligence AI model database without finding a current condensing temperature matching the current indoor environment parameter value and the current device operation parameter value; the fitting subunit is configured to perform fitting operation according to the current indoor environment parameter value, the current device operation parameter value and the current outdoor environment parameter value to obtain a current condensation temperature matched with the current indoor environment parameter value and the current device operation parameter value;
the pressure calculation unit is configured to obtain a current target condensing pressure matched with the current indoor environment parameter value and the current device operation parameter value according to the current condensing temperature and the saturated steam temperature and pressure calculation formula; the PID control sub-module is configured to perform PID control according to the current target condensing pressure and the current actual condensing pressure to obtain the rotating speed of the first outdoor fan;
the adjusting sub-module is configured to adjust the rotating speed of the first outdoor fan according to an optimal power value corresponding to the optimal performance of the air conditioner under the condition that the current actual condensing pressure is equal to the current target condensing pressure, so as to obtain the optimal rotating speed of the current outdoor fan matched with the current indoor environment parameter value and the current device operation parameter value, wherein the optimal performance is determined by comparing the recorded air conditioner power values; and the control module is configured to control the operation of the outdoor fan of the air conditioner according to the current optimal rotating speed of the outdoor fan.
6. An apparatus for air conditioning control comprising a processor and a memory storing program instructions, wherein the processor is configured, when executing the program instructions, to perform the method for air conditioning control of any of claims 1 to 4.
7. An air conditioner, comprising: the apparatus for air conditioner control as claimed in claim 5 or 6.
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