CN113685991B

CN113685991B - Control method and device for intelligent air conditioner and intelligent air conditioner

Info

Publication number: CN113685991B
Application number: CN202110882965.8A
Authority: CN
Inventors: 杨中锋; 宁贻江; 徐军瑞; 刘超超; 宋力钊; 李鑫
Original assignee: Qingdao Haier Air Conditioner Gen Corp Ltd; Qingdao Haier Air Conditioning Electric Co Ltd; Haier Smart Home Co Ltd; Chongqing Haier Air Conditioner Co Ltd
Current assignee: Qingdao Haier Air Conditioner Gen Corp Ltd; Qingdao Haier Air Conditioning Electric Co Ltd; Haier Smart Home Co Ltd; Chongqing Haier Air Conditioner Co Ltd
Priority date: 2021-08-02
Filing date: 2021-08-02
Publication date: 2023-01-13
Anticipated expiration: 2041-08-02
Also published as: CN113685991A

Abstract

The application relates to the technical field of intelligent household appliances, and discloses a control method for an intelligent air conditioner, which comprises the following steps: determining whether to enter a correction mode according to the outdoor environment temperature; selecting a correction coefficient under the condition of entering a correction mode; and adjusting the operation parameter value of the intelligent air conditioner according to the correction coefficient, and controlling the intelligent air conditioner to operate under the adjusted operation parameter value. According to the method and the device, when the heat exchange condition of the ambient environment of the outdoor unit is poor, the intelligent air conditioner is controlled to enter a correction mode and a correction coefficient is selected. The value of the correction coefficient is also influenced by the outdoor environment temperature, so that the method and the device can select a more appropriate correction coefficient according to the ambient conditions of the outdoor unit to adjust the operation parameter value, and the intelligent air conditioner can keep a good operation state. The application also discloses a controlling means and intelligent air conditioner for intelligent air conditioner.

Description

Control method and device for intelligent air conditioner and intelligent air conditioner

Technical Field

The application relates to the technical field of intelligent household appliances, for example, to a control method and device for an intelligent air conditioner and the intelligent air conditioner.

Background

At present, most of control methods of intelligent air conditioners detect initial outdoor environment temperature and then control the operation of the intelligent air conditioners according to parameter values set by a system. The operation process does not take into account the actual heat exchange conditions of the surrounding environment. When the outdoor unit is installed in a narrow space, the heat exchange condition is poor, and the ambient temperature of the outdoor unit can change rapidly in a short time along with the operation of the intelligent air conditioner, so that the operation load of the compressor is increased, even the shutdown phenomenon can be caused, and the user experience is seriously influenced. Therefore, the operation parameter values of the intelligent air conditioner should be adaptively adjusted according to specific application scenarios.

In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

there is a need for a technology capable of adjusting an operation parameter of an intelligent air conditioner according to a heat exchange condition of an environment around an outdoor unit to improve a working performance of the intelligent air conditioner.

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 nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.

The embodiment of the disclosure provides a control method and device for an intelligent air conditioner and the intelligent air conditioner, which can adjust the operation parameter value of the intelligent air conditioner according to the heat exchange condition of the surrounding environment of an outdoor unit, so that the intelligent air conditioner can keep a good operation state.

In some embodiments, the method comprises:

determining whether to enter a correction mode according to the outdoor environment temperature;

selecting a correction coefficient under the condition of entering a correction mode;

and adjusting the operation parameter value of the intelligent air conditioner according to the correction coefficient, and controlling the intelligent air conditioner to operate under the adjusted operation parameter value.

In some embodiments, the apparatus comprises: a processor and a memory storing program instructions, the processor being configured to execute the aforementioned control method for a smart air conditioner when executing the program instructions.

In some embodiments, the intelligent air conditioner includes the aforementioned control device for an intelligent air conditioner.

The control method and device for the intelligent air conditioner and the intelligent air conditioner provided by the embodiment of the disclosure can realize the following technical effects:

in the embodiment of the disclosure, the heat exchange condition of the ambient environment of the outdoor unit is inferred from the change condition of the outdoor environment temperature, and whether the intelligent air conditioner operation parameter value is adaptively adjusted or not is determined according to the change condition. When the heat exchange condition of the environment around the outdoor unit is poor, the intelligent air conditioner enters a correction mode and selects a correction coefficient. The value of the correction coefficient is also influenced by the outdoor environment temperature, so that the embodiment of the application can select a proper correction coefficient according to the ambient conditions of the outdoor unit to adjust the operation parameter value, and the intelligent air conditioner can keep a good operation state.

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 in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:

fig. 1 is a schematic diagram of a control method for an intelligent air conditioner according to an embodiment of the present disclosure;

fig. 2 is a schematic diagram of another control method for an intelligent air conditioner according to an embodiment of the present disclosure;

fig. 3 is a schematic diagram of another control method for a smart air conditioner according to an embodiment of the present disclosure;

fig. 4 is a schematic diagram of a control device for an intelligent air conditioner according to an embodiment of the present disclosure.

Detailed Description

So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. 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 be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.

The terms "first," "second," and the like in the description and claims of the embodiments of the disclosure 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 present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.

The term "plurality" means two or more unless otherwise specified.

In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.

The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. E.g., a and/or B, represents: a or B, or A and B.

The term "correspond" may refer to an association or binding relationship, and a corresponds to B refers to an association or binding relationship between a and B.

In the embodiment of the disclosure, the intelligent air conditioner is a product formed by introducing a microprocessor, a sensor technology and a network communication technology into the air conditioner, and has the characteristics of intelligent control, intelligent sensing and intelligent application, the operation process of the intelligent air conditioner usually depends on the application and processing of modern technologies such as internet of things, internet and electronic chips, for example, the intelligent air conditioner can realize the remote control and management of a user on the intelligent air conditioner by connecting electronic equipment.

In the embodiment of the disclosure, the broadcast temperature refers to the real-time temperature of weather forecast broadcast and can be acquired through various software, websites, public numbers or official channels. The broadcasting temperature is temperature data which is obtained by observing meteorological data by a meteorological bureau through a meteorological data acquisition instrument and then is processed and then is uniformly issued.

At present, most of control methods for intelligent air conditioners detect initial outdoor environment temperature and then control the operation of the intelligent air conditioners according to parameter values set by a system. The operation process does not take into account the actual heat exchange conditions of the surrounding environment. When the outdoor unit is installed in a narrow space, the heat exchange condition is poor, and the ambient temperature of the outdoor unit can change rapidly in a short time along with the operation of the intelligent air conditioner, so that the operation load of the compressor is increased, even the shutdown phenomenon can be caused, and the user experience is seriously influenced. Therefore, the operation parameter values of the intelligent air conditioner should be adaptively adjusted according to specific application scenarios.

Referring to fig. 1, an embodiment of the present disclosure provides a control method for an intelligent air conditioner, including:

s101, the intelligent air conditioner determines whether to enter a correction mode according to the outdoor environment temperature.

S102, selecting a correction coefficient when the intelligent air conditioner enters a correction mode.

And S103, the intelligent air conditioner adjusts the operation parameter value according to the correction coefficient and controls the intelligent air conditioner to operate under the adjusted operation parameter value.

By adopting the control method for the intelligent air conditioner, provided by the embodiment of the disclosure, the heat exchange condition of the ambient environment of the outdoor unit is deduced according to the change condition of the outdoor environment temperature, and whether the operation parameter value of the intelligent air conditioner is adaptively adjusted or not is determined according to the change condition. When the heat exchange condition of the environment around the outdoor unit is poor, the intelligent air conditioner enters a correction mode and selects a correction coefficient. The value of the correction coefficient is also influenced by the outdoor environment temperature, so that the embodiment of the disclosure can select a more appropriate correction coefficient according to the ambient conditions of the outdoor unit to adjust the operation parameter value, so that the intelligent air conditioner can keep a good operation state.

Optionally, the correction coefficients include an intelligent correction coefficient K1 and a standard correction coefficient K0. Specifically, when the difference between the first exhaust temperature of the compressor and the target exhaust temperature is not large when the intelligent air conditioner enters the correction mode, a standard correction coefficient K0 is selected. When the difference between the first exhaust temperature of the compressor and the target exhaust temperature is large when the intelligent air conditioner enters the correction mode, the intelligent correction coefficient K1 is selected. The intelligent correction coefficient K1 is valued according to the ratio of the first exhaust temperature to the target exhaust temperature, so that a more appropriate correction coefficient can be selected according to the actual running condition, and the intelligent air conditioner can keep a good running state.

Optionally, the selecting the correction factor by the intelligent air conditioner comprises: the intelligent air conditioner obtains an intelligent correction coefficient K1; if the intelligent correction coefficient K1 is larger than or equal to the standard correction coefficient K0, the intelligent air conditioner selects the standard correction coefficient K0; and if the intelligent correction coefficient K1 is smaller than the standard correction coefficient K0, the intelligent air conditioner selects the intelligent correction coefficient K1. In this way, the embodiments of the present disclosure can perform two regulation modes to cope with different regulation ranges. And a more suitable correction coefficient is selected according to the regulation and control range, so that the intelligent air conditioner can always keep a good running state.

Optionally, the value range of the standard correction coefficient K0 of the intelligent air conditioner is [0.85,0.95]. The standard correction coefficient K0 may be adjusted according to an actual operation condition of the intelligent air conditioner, and specifically, the standard correction coefficient K0 may be 0.85, 0.90, or 0.95.

Optionally, the obtaining of the intelligent correction coefficient K1 by the intelligent air conditioner includes: intelligent air conditioner computing

And obtaining an intelligent correction coefficient K1.

Specifically, pm is a target exhaust temperature of the compressor when the intelligent air conditioner enters the correction mode, P1 is a first exhaust temperature of the compressor when the intelligent air conditioner enters the correction mode, Δ P is an exhaust temperature compensation value, and Δ Pmax is a maximum value of the exhaust temperature compensation value. The value of the intelligent correction coefficient K1 is in a negative correlation relation with the ratio of the first exhaust temperature to the target exhaust temperature. And when the intelligent air conditioner enters the correction mode, the first exhaust temperature of the compressor is influenced by the outdoor environment temperature to change. Therefore, the embodiment of the disclosure can select a more appropriate correction coefficient according to the ambient conditions of the outdoor unit to adjust the operation parameter value, so that the intelligent air conditioner can keep a good operation state.

Optionally, the target discharge temperature Pm of the compressor when the intelligent air conditioner enters the correction mode is less than or equal to 90 ℃. Preferably, the target exhaust gas temperature Pm is preset to 80 ℃. The target exhaust temperature is adjusted according to the actual operation condition of the intelligent air conditioner and the operation frequency of the compressor, and can be set to be 75 ℃ or 85 ℃ or other arbitrary values.

Alternatively, the exhaust temperature compensation value Δ P is determined by a first preset correlation.

Specifically, the first preset correlation includes a corresponding relationship between one or more first exhaust temperature change rates δ 1 and the exhaust temperature compensation value Δ P. Alternatively, table 1 shows a corresponding relationship between the first rate of change δ 1 of the exhaust temperature and the exhaust temperature compensation value Δ P, as shown in the following table:

TABLE 1

Delta 1 (unit:. Degree. C/min)	Delta P (unit:. Degree. C.)
		δ1≤a1	b1
a1＜δ1≤a2	b2
		a2＜δ1	b3

In the correspondence relationship, the first exhaust temperature change rate δ 1 is positively correlated with the exhaust temperature compensation value Δ P. That is, the larger the first exhaust temperature change rate δ 1 is, the larger the value of the exhaust temperature compensation value Δ P is.

Alternatively, b1 is 10 ℃, b2 is 20 ℃ and b3 is 30 ℃. At this time, the maximum value Δ Pmax of the exhaust gas temperature compensation value was taken to be 30 ℃.

Optionally, the first change rate δ 1 of the discharge temperature is an average change rate of the discharge temperature of the compressor within a second preset time period before the intelligent air conditioner enters the correction mode. Specifically, the second preset time period is less than the start-up operation time period of the intelligent air conditioner. Therefore, the problem that the average change rate of the exhaust temperature of the compressor is calculated inaccurately due to the fact that the initial temperature rise of the intelligent air conditioner is large for several minutes before starting can be avoided.

Optionally, the determining, by the smart air conditioner, whether to enter the correction mode according to the outdoor ambient temperature includes: when the intelligent air conditioner is started, the intelligent air conditioner obtains a first outdoor environment temperature T0; after the intelligent air conditioner is started and operates for a first preset time, the intelligent air conditioner obtains a second outdoor environment temperature T1 and a second broadcast temperature T11; if the absolute value of the difference between the first outdoor environment temperature T0 and the second outdoor environment temperature T1 is greater than the first temperature difference threshold value Δ T1, and the absolute value of the difference between the second outdoor environment temperature T1 and the second broadcast temperature T11 is greater than the second temperature difference threshold value Δ T2, the intelligent air conditioner enters a correction mode. Therefore, after the intelligent air conditioner is started and operates for a first preset time, the heat exchange condition of the ambient environment of the indoor unit in the preset time can be judged according to the difference value of the outdoor environment temperatures of the two time points. If the absolute value of the temperature difference is smaller than or equal to the first temperature difference threshold, it indicates that the outdoor environment temperature is not changed greatly, so that the heat exchange condition of the environment around the outdoor unit is reflected well, and the intelligent air conditioner does not need to enter a correction mode. However, this criterion is only relied on one side, since the outdoor ambient temperature is also subject to fluctuations due to changes in the actual external environment. Therefore, the broadcast temperature is introduced as a judgment basis in the embodiment of the present disclosure. If the absolute value of the difference between the outdoor environment temperature after the first preset time period of operation and the broadcast temperature is smaller than or equal to the second temperature difference threshold, it is indicated that the ambient environment of the outdoor unit and the actual external environment perform sufficient heat exchange after the first preset time period, so that the difference between the outdoor environment temperature and the broadcast temperature is not large, and the intelligent air conditioner does not need to enter a correction mode at this time. The embodiment of the disclosure can control the intelligent air conditioner to enter the correction mode when the heat exchange condition of the ambient environment of the outdoor unit is poor, and the intelligent air conditioner can keep a good operation state by adjusting the operation parameter value of the intelligent air conditioner.

Optionally, the first temperature difference threshold value has a value range of [1 ℃,3 ℃). The first temperature difference threshold value can be adjusted according to the actual running condition of the intelligent air conditioner. Specifically, the first temperature difference threshold value may be 1 ℃, 2 ℃ or 3 ℃. If no special requirement exists, the first temperature difference threshold value is the minimum value.

Optionally, the second temperature difference threshold may be obtained by an absolute value of a difference between the first outdoor ambient temperature and the first broadcast temperature when the intelligent air conditioner is turned on. Therefore, by comparing the absolute value of the difference between the outdoor environment temperature and the broadcast temperature at two time points, the heat exchange change condition of the surrounding environment of the outdoor unit in the period of time can be intuitively reflected, and the intelligent air conditioner is controlled to enter a correction mode to keep a good operation state when the heat exchange condition is poor.

Optionally, the outdoor ambient temperature is detected by a sensor disposed on the outdoor unit of the intelligent air conditioner.

Optionally, the broadcast temperature is obtained by receiving weather forecast real-time temperature data sent by the server through the intelligent air conditioner.

Optionally, the adjusting, by the intelligent air conditioner, the operation parameter value of the intelligent air conditioner according to the correction factor includes: and multiplying the correction coefficient by the rated value of the operating parameter to obtain the adjusted operating parameter value. Therefore, the intelligent air conditioner can specifically adjust the internal operation parameter value according to the heat exchange condition of the surrounding environment of the outdoor unit, so that the intelligent air conditioner can keep a good operation state.

Optionally, the operation parameter includes part or all of an operation frequency of the compressor, an up-conversion rate of the compressor, a valve adjusting rate of the expansion valve, a rotation speed of an indoor unit motor, and a rotation speed of an outdoor unit motor. It should be noted that the embodiments of the present disclosure are not limited to the foregoing operating parameters. In some specific occasions, the operation parameters to be adjusted of the intelligent air conditioner further comprise the rotating speed of an outdoor fan.

With reference to fig. 2, an embodiment of the present disclosure provides another control method for an intelligent air conditioner, including:

s201, the intelligent air conditioner determines whether to enter a correction mode according to the outdoor environment temperature.

S202, selecting a correction coefficient under the condition that the intelligent air conditioner enters a correction mode.

And S203, the intelligent air conditioner determines the influence factor corresponding to the controlled operation parameter from the second preset incidence relation according to the controlled operation parameter.

And S204, multiplying the correction coefficient, the influence factor and the rated value of the operation parameter by the intelligent air conditioner to obtain the adjusted operation parameter value.

And S205, controlling the intelligent air conditioner to operate under the adjusted operation parameter value.

By adopting the control method for the intelligent air conditioner, aiming at different operation parameters, an additional influence factor can be multiplied on the basis that the rated value of the operation parameter is multiplied by the correction coefficient. Therefore, each operation parameter value of the intelligent air conditioner can be adjusted in different degrees, the unstable operation condition of the intelligent air conditioner caused by the overlarge adjustment amplitude of a certain operation parameter value is effectively avoided, and the intelligent air conditioner is more favorable for keeping a good operation state.

Optionally, the operation parameters include some or all of an operation frequency of the compressor, an up-conversion rate of the compressor, a valve adjusting rate of the expansion valve, a rotation speed of an indoor unit motor, and a rotation speed of an outdoor unit motor. It should be noted that the embodiments of the present disclosure are not limited to the foregoing operating parameters.

Specifically, the second preset association relationship includes a corresponding relationship between one or more operating parameters and the influence factor. Optionally, table 2 shows a corresponding relationship between the operation parameter and the influence factor, as shown in the following table:

TABLE 2

Optionally, the influence factor can be adjusted according to the actual operation condition of the intelligent air conditioner. Illustratively, when the correction coefficient is an intelligent correction coefficient, the influence factor may take the following values:

alternatively, c1 is 1.0, c2 is 0.8, c3 is 0.7, c4 is 0.8, and c5 is 1.2. At this moment, the intelligent air conditioner is in refrigerating operation.

Alternatively, c1 is 1.0, c2 is 0.8, c3 is 0.7, c4 is 1.2, and c5 is 0.8. At this time, the intelligent air conditioner is in heating operation.

With reference to fig. 3, an embodiment of the present disclosure provides another control method for an intelligent air conditioner, including:

s301, the intelligent air conditioner determines whether to enter a correction mode according to the outdoor environment temperature.

S302, selecting a correction coefficient when the intelligent air conditioner enters a correction mode.

And S303, the intelligent air conditioner adjusts the operation parameter value according to the correction coefficient and controls the intelligent air conditioner to operate under the adjusted operation parameter value.

S304, the intelligent air conditioner obtains the exhaust temperature difference under the condition that the second change rate of the exhaust temperature is smaller than the change rate threshold value.

S305, if the exhaust temperature difference is larger than or equal to the exhaust temperature difference threshold value, the intelligent air conditioner increases the running frequency of the compressor.

By adopting the control method for the intelligent air conditioner, provided by the embodiment of the disclosure, after the intelligent air conditioner enters the correction mode and operates for a period of time, the exhaust temperature can be continuously detected. When the second change rate of the exhaust temperature is smaller than the change rate threshold value, the exhaust is stable at the moment, and then the intelligent air conditioner obtains the exhaust temperature difference. If the exhaust temperature difference is larger than or equal to the exhaust temperature difference threshold value, the operation frequency of the compressor still has an adjustable interval. At the moment, the intelligent air conditioner increases the running frequency of the compressor of the intelligent air conditioner, and the working efficiency of the intelligent air conditioner can be improved while the good running state is kept. The embodiment of the disclosure still keeps the detection of the exhaust temperature when the intelligent air conditioner operates in the correction mode, and if the exhaust is stable, the operation frequency of the compressor can be properly increased if corresponding conditions are met, so that the intelligent air conditioner can improve the working efficiency while keeping a good operation state.

Optionally, the second change rate δ 2 of the discharge temperature is an average change rate of the discharge temperature of the compressor within a third preset time period after the smart air conditioner enters the correction mode.

Optionally, the intelligent air conditioner acquiring the exhaust temperature difference comprises: the intelligent air conditioner calculates delta P2= Pmax-Pm, and obtains the exhaust temperature difference delta P2.

Specifically, pmax is the maximum exhaust temperature for a third preset period. The exhaust temperature difference can reflect whether the compressor obtains the most appropriate working parameters after the intelligent air conditioner enters the correction mode. When the exhaust temperature difference is larger than or equal to the exhaust temperature difference threshold value, the operation frequency of the compressor still has an adjustable interval. At the moment, the running frequency of the compressor can be independently adjusted, so that the working efficiency of the intelligent air conditioner is improved.

Optionally, the value range of the exhaust temperature difference threshold is [1 ℃,3 ℃). The exhaust temperature difference threshold value can be adjusted according to the actual running condition of the intelligent air conditioner of the user. Specifically, the exhaust temperature difference threshold value may be 1 ℃, 2 ℃ or 3 ℃.

Optionally, the increasing the operating frequency of the compressor by the smart air conditioner includes: every fourth preset time interval, the intelligent air conditioner increases the running frequency of the compressor by the preset frequency value of the compressor until the exhaust temperature difference in the fourth preset time interval is smaller than the exhaust temperature difference threshold value. Therefore, the operating frequency of the compressor can be increased in stages, the condition that the interior of the intelligent air conditioner fluctuates violently due to the fact that the operating frequency of the compressor is increased too fast is effectively avoided, and the intelligent air conditioner can be close to the optimal operating state gradually.

Optionally, the fourth preset duration is 5mi n. That is, the intelligent air conditioner increases the operation frequency of the compressor by a fixed preset value every 5 min. The duration of 5 min may be adjusted according to the actual operation condition of the intelligent air conditioner, or may be set to any other value such as 1 min, 2 min, or 3 min.

Optionally, the preset value of the frequency of the press is 1Hz. That is, the intelligent air conditioner increases the operating frequency of the compressor by 1Hz every a fixed preset time period. The duration of 1Hz can be adjusted according to the actual operation condition of the intelligent air conditioner, and can also be set to be any value such as 0.5Hz, 1.5Hz or 2 Hz.

As shown in fig. 4, an embodiment of the present disclosure provides a control device for a smart air conditioner, including a processor (processor) 401 and a memory (memory) 402. Optionally, the apparatus may also include a Communication Interface 403 and a bus 404. The processor 401, the communication interface 403, and the memory 402 may communicate with each other via a bus 404. The communication interface 403 may be used for information transfer. The processor 401 may call logic instructions in the memory 402 to perform the control method for the smart air conditioner of the above-described embodiment.

Furthermore, the logic instructions in the memory 402 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product.

The memory 402 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 401 executes functional applications and data processing by executing program instructions/modules stored in the memory 402, that is, implements the control method for the intelligent air conditioner in the above-described embodiments.

The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 402 may include high speed random access memory and may also include non-volatile memory.

The embodiment of the disclosure provides an intelligent air conditioner, which comprises the control device for the intelligent air conditioner.

The disclosed embodiments provide a readable storage medium storing computer-executable instructions configured to perform the above-described control method for an intelligent air conditioner.

The readable storage medium described above 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, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.

The above description and the drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify 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. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "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, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising a …" does not exclude the presence of additional like elements in a process, method, or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.

Those of skill in the art would 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 may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The flowchart 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 disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims

1. A control method for an intelligent air conditioner is characterized by comprising the following steps:

adjusting the operation parameter value of the intelligent air conditioner according to the correction coefficient, and controlling the intelligent air conditioner to operate under the adjusted operation parameter value;

the correction coefficient comprises an intelligent correction coefficient K1 and a standard correction coefficient K0;

the selecting the correction coefficient comprises:

obtaining the intelligent correction coefficient K1;

if the intelligent correction coefficient K1 is larger than or equal to the standard correction coefficient K0, selecting the standard correction coefficient K0;

and if the intelligent correction coefficient K1 is smaller than the standard correction coefficient K0, selecting the intelligent correction coefficient K1.

2. The method according to claim 1, wherein the obtaining the intelligent correction coefficient K1 comprises:

computing

Obtaining an intelligent correction coefficient K1;

wherein, pm is a target exhaust temperature of the compressor when the intelligent air conditioner enters the correction mode, P1 is a first exhaust temperature of the compressor when the intelligent air conditioner enters the correction mode, Δ P is an exhaust temperature compensation value, and Δ Pmax is a maximum value of the exhaust temperature compensation value.

3. The method of claim 2, wherein the exhaust temperature compensation value is determined by a first predetermined correlation.

4. The method of any one of claims 1 to 3, wherein determining whether to enter the correction mode based on the outdoor ambient temperature comprises:

when the intelligent air conditioner is started, acquiring a first outdoor environment temperature T0;

after the mobile terminal is started and operates for a first preset time, a second outdoor environment temperature T1 and a second broadcasting temperature T11 are obtained;

if the absolute value of the difference between the first outdoor ambient temperature T0 and the second outdoor ambient temperature T1 is greater than a first temperature difference threshold value delta T1, and the absolute value of the difference between the second outdoor ambient temperature T1 and the second broadcast temperature T11 is greater than a second temperature difference threshold value delta T2, then control is entered into a correction mode.

5. The method of any one of claims 1 to 3, wherein the operating parameters include some or all of an operating frequency of the compressor, an up-conversion rate of the compressor, a valve modulation rate of the expansion valve, an indoor unit motor speed, and an outdoor unit motor speed.

6. The method according to claim 5, wherein between the selecting of the correction factor and the adjusting of the operation parameter value of the intelligent air conditioner according to the correction factor, further comprising:

determining an influence factor corresponding to the controlled operation parameter from a second preset incidence relation according to the controlled operation parameter;

and multiplying the correction coefficient, the influence factor and the rated value of the operating parameter to obtain the adjusted operating parameter value.

7. A control apparatus for a smart air conditioner comprising a processor and a memory storing program instructions, characterized in that the processor is configured to execute the control method for a smart air conditioner according to any one of claims 1 to 6 when executing the program instructions.

8. An intelligent air conditioner, characterized by comprising the control device for an intelligent air conditioner according to claim 7.