Method, device and intelligent air conditioner for controlling intelligent air conditioner

Abstract

The application relates to the technical field of intelligent air conditioner control, and discloses a method for controlling an intelligent air conditioner, which comprises the following steps: dividing an indoor space where the intelligent air conditioner is located into multiple areas according to a preset division rule; determining a target area in the multiple areas according to average temperature values of the multiple areas respectively; determining a target air supply strategy of the intelligent air conditioner for the target area according to heat conduction energy of the multiple areas respectively; and controlling the intelligent air conditioner to supply air to the target area according to the target air supply strategy. In this way, the target area in the multiple areas can be accurately determined in combination with the average temperature values of the multiple areas respectively, and the target air supply strategy of the intelligent air conditioner for the target area can be accurately determined in combination with the heat conduction energy of the multiple areas respectively, so that a more energy-saving intelligent air conditioner control scheme is provided for a user in the case that the intelligent air conditioner supplies air to the target area according to the target air supply strategy. The application further discloses an apparatus for controlling an intelligent air conditioner and an intelligent air conditioner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent air conditioner control, for example to a method and device for controlling an intelligent air conditioner and an intelligent air conditioner. BACKGROUND

[0002] With the continuous improvement of people's living standards, intelligent household appliances have gradually entered the lives of users. At present, the emergence of intelligent air conditioners brings users a more comfortable indoor environment, and the use cost of intelligent air conditioners also increases year by year.

[0003] At the present stage, in order to control the intelligent air conditioner more energy-efficiently, the indoor and outdoor temperature difference values can be obtained, and the intelligent air conditioner can be controlled in combination with the temperature difference value and the set temperature. However, this control method is not reasonable, and once the indoor temperature distribution is uneven, the indoor and outdoor temperature difference cannot be accurately determined, and accordingly, the intelligent air conditioner cannot be controlled in an energy-saving manner. Therefore, how to provide a more energy-efficient intelligent air conditioner control scheme for users has become a technical problem to be solved.

[0004] It should be noted that the information disclosed in the above background section is only used to strengthen the understanding of the background of the present application, and therefore can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0005] To have a basic understanding of some aspects of the disclosed embodiments, a brief overview is given below. The overview is not a comprehensive review of the embodiments, nor is it intended to identify key / important elements or delineate the scope of the embodiments, but to serve as a prelude to the detailed description below.

[0006] The embodiments of the present disclosure provide a method and device for controlling an intelligent air conditioner and an intelligent air conditioner, which can provide a more energy-efficient intelligent air conditioner control scheme for users.

[0007] In some embodiments, the method for controlling an intelligent air conditioner comprises: dividing an indoor space where the intelligent air conditioner is located into a plurality of regions according to a preset division rule; determining a target region in the plurality of regions according to average temperature values of the plurality of regions respectively; determining a target air supply strategy of the intelligent air conditioner for the target region according to heat conduction energy of the plurality of regions respectively; and controlling the intelligent air conditioner to supply air to the target region according to the target air supply strategy.

[0008] In some embodiments, the device for controlling the smart air conditioner comprises: a division module configured to divide an indoor space where the smart air conditioner is located into a plurality of areas according to a preset division rule; a first determination module configured to determine a target area in the plurality of areas according to average temperature values of the plurality of areas respectively; a second determination module configured to determine a target air supply strategy of the smart air conditioner for the target area according to heat conduction energies of the plurality of areas respectively; and a control module configured to control the smart air conditioner to supply air to the target area according to the target air supply strategy.

[0009] In some embodiments, the device for controlling the smart air conditioner comprises: a processor and a memory storing program instructions, the processor being configured to execute the foregoing method for controlling the smart air conditioner when running the program instructions.

[0010] In some embodiments, the smart air conditioner comprises the foregoing device for controlling the smart air conditioner.

[0011] The method, device and smart air conditioner for controlling the smart air conditioner provided by the embodiments of the present disclosure can achieve the following technical effects: the indoor space where the smart air conditioner is located can be divided into a plurality of areas according to a preset division rule; a target area in the plurality of areas can be determined according to average temperature values of the plurality of areas respectively; and a target air supply strategy of the smart air conditioner for the target area can be determined according to heat conduction energies of the plurality of areas respectively; and the smart air conditioner can be controlled to supply air to the target area according to the target air supply strategy. In this way, after the indoor space where the smart air conditioner is located is divided into a plurality of areas, the target area in the plurality of areas can be accurately determined in combination with the average temperature values of the plurality of areas respectively, and the target air supply strategy of the smart air conditioner for the target area can be accurately determined in combination with the heat conduction energies of the plurality of areas respectively, so that the environment of the target area can be accurately regulated more targetedly in the case that the smart air conditioner is controlled to supply air to the target area according to the target air supply strategy, the situation that the indoor environment temperature is unevenly distributed can be quickly improved, and a more energy-saving smart air conditioner control scheme is provided for the user.

[0012] The foregoing general description and the following description are merely exemplary and explanatory, and are not intended to limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0013] One or more embodiments are exemplified by the accompanying drawings corresponding thereto, which are exemplary and explanatory, and do not constitute a limitation on the embodiments, elements with the same reference numerals in the drawings are shown as similar elements, the drawings do not constitute a proportional limitation, and wherein:

[0014] Figure 1-1 is a region division schematic diagram for an indoor space provided by the embodiments of the present disclosure;

[0015] Figure 1-2is a schematic diagram of a region of an indoor space provided by an embodiment of the present disclosure;

[0016] Figure 1-3 is a schematic diagram of ultrasonic wave propagation sent by a voice module provided by an embodiment of the present disclosure;

[0017] Figure 2 is a schematic diagram of a method for controlling an intelligent air conditioner provided by an embodiment of the present disclosure;

[0018] Figure 3 is a schematic diagram of a method for determining a target region provided by an embodiment of the present disclosure;

[0019] Figure 4 is a schematic diagram of a method for determining a target air supply strategy provided by an embodiment of the present disclosure;

[0020] Figure 5 is another schematic diagram of a method for determining a target air supply strategy provided by an embodiment of the present disclosure;

[0021] Figure 6 is a schematic diagram of an apparatus for controlling an intelligent air conditioner provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0022] In order to enable persons skilled in the art to better understand the features and technical contents of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, which are only used for reference and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, a plurality of details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be simplified to show.

[0023] The terms "first", "second", and the like in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0024] Unless otherwise specified, the term "a plurality of" means two or more.

[0025] In the embodiments of the present disclosure, the character " / " represents an "or" relationship between the objects before and after it. For example, A / B means A or B.

[0026] The term "and / or" is a description of an association relationship of objects, which means that there can be three relationships. For example, A and / or B means that there are three relationships of A or B, or A and B.

[0027] The term "corresponding" can refer to an association relationship or a binding relationship. A corresponds to B means that there is an association relationship or a binding relationship between A and B.

[0028] In the embodiments of the present disclosure, the smart home appliance refers to a home appliance product formed by introducing microprocessors, sensor technology, network communication technology into home appliances, which has the characteristics of intelligent control, intelligent sensing and intelligent application. The operation process of the smart home appliance often depends on the application and processing of modern technologies such as the Internet of Things, the Internet and electronic chips. For example, the smart home appliance can realize remote control and management of the smart home appliance by connecting electronic devices.

[0029] In the embodiments of the present disclosure, the terminal device refers to an electronic device with wireless connection function. The terminal device can be connected to the smart home appliance as described above through the Internet, or can be directly connected to the smart home appliance as described above through Bluetooth, Wi-Fi and the like. In some embodiments, the terminal device is, for example, a mobile device, a computer, or a built-in vehicle device in a hovercar, or any combination thereof. The mobile device may, for example, include a mobile phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or any combination thereof, wherein the wearable device may, for example, include a smart watch, a smart bracelet, a pedometer, and the like.

[0030] Figure 1-1 is a schematic diagram of a region division of an indoor space provided by an embodiment of the present disclosure; Figure 1-2 is a schematic diagram of a region of an indoor space provided by an embodiment of the present disclosure; Figure 1-3 is a schematic diagram of ultrasonic wave propagation sent by a voice module provided by an embodiment of the present disclosure; Figure 2 is a schematic diagram of a method for controlling a smart air conditioner provided by an embodiment of the present disclosure; in combination with Figures 1-1 to 2 , the embodiment of the present disclosure provides a method for controlling a smart air conditioner, which comprises the following steps:

[0031] S21, the smart air conditioner divides an indoor space where the smart air conditioner is located into multiple regions according to a preset division rule.

[0032] S22, the smart air conditioner determines a target region in the multiple regions according to an average temperature value of each of the multiple regions.

[0033] S23, the smart air conditioner determines a target air supply strategy of the target region by the smart air conditioner according to a heat conduction energy of each of the multiple regions.

[0034] S24, Intelligent air conditioning control: The intelligent air conditioning system delivers air to the target area according to the target air delivery strategy.

[0035] In this solution, the smart air conditioner is equipped with a voice module, which includes a speaker unit for emitting ultrasonic waves, a first microphone for receiving reflected ultrasonic signals, and a second microphone positioned adjacent to the first microphone. Specifically, the smart air conditioner can divide the indoor space it occupies into multiple zones according to a preset division rule. Here, the preset division rule includes dividing the indoor space where the smart air conditioner is located into multiple fan-shaped zones with preset angles, centered on the first microphone. As an example, such as... Figure 1-1 As shown, with a preset angle of 10°, the indoor space where the smart air conditioner is located can be divided into 12 equal 10° sector areas centered on the first microphone, according to the preset division rules. These are, for example, sector S1, sector S2, sector S3, sector S4, sector S5, sector S6, sector S7, sector S8, sector S9, sector S10, sector S11, and sector S12. This allows for precise zoning of the indoor space where the smart air conditioner is located, based on the preset division rules. It should be noted that the radius of each sector is determined by dynamic scanning using ultrasonic ranging; however, due to the limited emission angle of the speaker unit, there are 30° blind zones to the left and right of the first microphone. Therefore, these blind zones are not divided into zones.

[0036] In this solution, before determining the target area among multiple areas based on their respective average temperature values, the smart air conditioner further includes: determining the average temperature values ​​of each of the multiple areas. Specifically, the smart air conditioner determines the average temperature values ​​of each of the multiple areas through various methods:

[0037] In one example, a smart air conditioner can obtain the average temperature value of multiple areas through its associated infrared sensor.

[0038] In another example, a smart air conditioner can also combine temperature sensors placed in the room where the smart air conditioner is located to obtain the average temperature value of each area.

[0039] In an optimized scheme, in order to ensure the accuracy of the regional average temperature value and save the cost of temperature sensor arrangement, the intelligent air conditioner can divide the indoor space into 12 regions, and then divide each region into multiple groups of detection signal units, so as to determine the closest actual target wavelength and target frequency of each region by using the screening standard of the smallest Lissajous pattern area formed by correlation waves, and then calculate the average sound speed of each region in combination with the closest actual target wavelength and target frequency of each region, and further calculate the average temperature value of the region in combination with the pre-stored algorithm, and can sequentially calculate the average temperature value of each region. Specifically, the intelligent air conditioner determines the average temperature value of each of the multiple regions, including: controlling the voice module of the intelligent air conditioner to send ranging ultrasonic waves to the obstacle reflection surface in the multiple regions respectively, so as to obtain the distance value between the obstacle reflection surface and the first microphone in the multiple regions; the intelligent air conditioner determines the average temperature value of each region respectively according to the distance value between the obstacle reflection surface and the first microphone in the multiple regions.

[0040] In the embodiment, the obstacle reflection surface of each region can be the wall surface opposite to the air conditioner. Specifically, as shown in Figure 1-3 the first region S1, the air conditioner can control the voice module to send ranging ultrasonic waves to the obstacle reflection surface A of the first region S1, and after receiving the feedback signal of the ranging ultrasonic waves at the first microphone C1, the distance value d1 between the obstacle reflection surface A and the first microphone C1 is calculated in combination with the sending time of the ranging ultrasonic waves, the receiving time of the feedback signal and the indoor sound wave speed. In this way, the accurate acquisition of the distance value between the obstacle reflection surface and the first microphone of a single region can be realized. Under such a premise, the intelligent air conditioner can sequentially send ranging ultrasonic waves to each region according to the pre-set ranging ultrasonic wave sending sequence. As an example, the pre-set ranging ultrasonic wave sending sequence can be the sequence of small to large serial numbers, i.e. S1, S2, S3, S4, S5, etc. In this way, the voice module can send ranging ultrasonic waves to each region in the pre-set sequence, so as to sequentially calculate the distance value between the obstacle reflection surface and the first microphone in the multiple regions by the aforementioned calculation method of the distance value between the obstacle reflection surface and the first microphone of a single region, so as to realize the accurate acquisition of the distance value between the obstacle reflection surface and the first microphone in the multiple regions.

[0041] Optionally, the intelligent air conditioner determines the average temperature value of the first region based on the distance between the obstacle reflector and the first microphone within the first region. This includes: calculating the wavelength range width of the first region based on the distance between the obstacle reflector and the first microphone and the distance between the obstacle reflector and the second microphone within the first region. The intelligent air conditioner divides the first region into multiple sets of detection signal units based on the wavelength range width and a first preset step size. The intelligent air conditioner controls the voice module to send detection ultrasonic waves to the multiple sets of detection signal units, so that the voice module receives data fed back from different sets of detection signal units. The intelligent air conditioner determines the average temperature value of the first region based on the data fed back from the different sets of detection signal units.

[0042] In this embodiment, the average temperature value of each region is determined in the same way. Taking the first region as an example, the intelligent air conditioner can determine the average temperature value of the first region based on the distance between the obstacle reflector and the first microphone within the first region. Specifically, the intelligent air conditioner can calculate the wavelength range width of the first region based on the distance between the obstacle reflector and the first microphone and the distance between the obstacle reflector and the second microphone within the first region. Here, as... Figure 1-3 As shown, the distance d1 between the obstacle reflecting surface A and the first microphone C1 in the first region can be calculated from the transmission time of the ranging ultrasonic wave, the reception time of the feedback signal from the first microphone C1, and the indoor sound wave velocity; the distance between the obstacle reflecting surface and the second microphone C2 in the first region can be calculated using the cosine theorem based on the obtained angle α and the distance between the first microphone C1 and the second microphone C2. Generally, the distance between the first microphone C1 and the second microphone C2 is 35mm. Furthermore, after obtaining the ultrasonic ranging error value, the intelligent air conditioner can calculate the path difference based on the distance between the obstacle reflecting surface and the first microphone in the first region, the distance between the obstacle reflecting surface and the second microphone in the first region, and the ultrasonic ranging error value; thus, the quotient of the path difference and the path coefficient corresponding to the first region is taken as the wavelength range width of the first region. In this way, the wavelength range width of the first region can be accurately determined.

[0043] In this embodiment, after determining the wavelength range width of the first region, the intelligent air conditioner can divide the first region according to the wavelength range width and a first preset step size to obtain multiple sets of detection signal units. As an example, the first preset step size is 0.01*I, where I ranges from 1 to 5. Thus, the wavelength range width of the first region can be divided equally according to 0.01*I to obtain multiple sets of detection signal units. As a preferred embodiment, a single region can be divided into up to 5 equal parts. In this way, precise division of multiple sets of detection signal units is achieved.

[0044] In the embodiment, the smart air conditioner can control the voice module to send detection ultrasonic waves to multiple groups of detection signal units respectively. Here, the smart air conditioner can send detection ultrasonic waves to multiple groups of detection signal units in the first area in a preset sending order one by one, so that the first microphone and the second microphone can receive data fed back by each group of detection signal units one by one. The sampling time of the first microphone and the second microphone is aligned with the sending period of the loudspeaker unit and data sampling is performed synchronously. Alternatively, the first microphone and the second microphone perform data interception 30 ms after the start of sending of each detection ultrasonic wave, and the interception width is 50 ms. In this way, the integrity and stability of the sampling data of the voice module are ensured.

[0045] In the embodiment, the smart air conditioner can determine the average temperature value of the first area in combination with the data fed back by different groups of detection signal units after receiving the data fed back by each group of detection signal units. In this way, the average temperature value of the first area can be accurately determined in combination with the data fed back by different groups of detection signal units received by the voice module after the first area is divided into multiple groups of detection signal units.

[0046] Alternatively, the smart air conditioner calculates the wavelength interval width of the first area according to the distance value between the reflecting surface of the obstacle in the first area and the first microphone and the distance value between the reflecting surface of the obstacle in the first area and the second microphone, including:

[0047] The smart air conditioner obtains an error value of ultrasonic ranging.

[0048] The smart air conditioner calculates the wave path difference according to the distance value between the reflecting surface of the obstacle in the first area and the first microphone, the distance value between the reflecting surface of the obstacle in the first area and the second microphone, and the error value of ultrasonic ranging.

[0049] The smart air conditioner takes the quotient of the wave path difference and the wave path coefficient corresponding to the first area as the wavelength interval width of the first area.

[0050] It can be understood that there is a certain error in ultrasonic ranging. Therefore, the smart air conditioner can obtain an error value of ultrasonic ranging. Specifically, experiments show that the error value of ultrasonic ranging within 6 meters in the room is ±300 mm. In this way, the smart air conditioner can determine that the error value of ultrasonic ranging is 300. In this way, the accurate determination of the error value of ultrasonic ranging can be realized.

[0051] In the embodiment, the smart air conditioner calculates the wave path difference according to the distance value of the obstacle reflecting surface in the first area and the first microphone, the distance value of the obstacle reflecting surface in the first area and the second microphone, and the error value of ultrasonic ranging, including: the smart air conditioner calculates the first wave path difference and the second wave path difference according to the distance value of the obstacle reflecting surface in the first area and the first microphone, the distance value of the obstacle reflecting surface in the first area and the second microphone, and the error value of ultrasonic ranging; the smart air conditioner takes the difference value of the first wave path difference and the second wave path difference as the wave path difference. In this way, accurate calculation of the wave path difference can be realized.

[0052] Specifically, the smart air conditioner calculates the first wave path difference according to the distance value of the obstacle reflecting surface in the first area and the first microphone, the distance value of the obstacle reflecting surface in the first area and the second microphone, and the error value of ultrasonic ranging, including:

[0053] △d1 = (d1 + 300 - d2 max )

[0054] Wherein, △d1 is the first wave path difference, d1 is the distance value of the obstacle reflecting surface in the first area and the first microphone, d2 max is the distance value of the obstacle reflecting surface in the first area and the second microphone, d2 max can be calculated according to the cosine theorem when the distance value of the obstacle reflecting surface in the first area and the first microphone is d1 + 300.

[0055] Specifically, the smart air conditioner calculates the second wave path difference according to the distance value of the obstacle reflecting surface in the first area and the first microphone, the distance value of the obstacle reflecting surface in the first area and the second microphone, and the error value of ultrasonic ranging, including:

[0056] △d2 = (d1 - 300 - d2 min )

[0057] Wherein, △d2 is the second wave path difference, d1 is the distance value of the obstacle reflecting surface in the first area and the first microphone, d2 min is the distance value of the obstacle reflecting surface in the first area and the second microphone, d2 min can be calculated according to the cosine theorem when the distance value of the obstacle reflecting surface in the first area and the first microphone is d1 - 300.

[0058] Specifically, the smart air conditioner takes the difference value of the first wave path difference and the second wave path difference as the wave path difference, including:

[0059] △d = △d1 - △d2

[0060] Wherein, △d is the wave path difference, △d1 is the first wave path difference, and △d2 is the second wave path difference.

[0061] In this way, the accurate determination of the wave path difference can be performed after the first wave path difference and the second wave path difference are calculated.

[0062] In the embodiment, the smart air conditioner can match the wave path coefficient m1 corresponding to the first region, so as to determine the wavelength interval width △λ1 of the first region = △d / m1. In this scheme, the accurate determination of the wavelength interval width of the first region can be performed in combination with the wave path difference and the wave path coefficient corresponding to the first region.

[0063] As can be understood from the foregoing discussion, the wavelength interval width of different regions is the quotient of the wave path difference of the region and the wave path coefficient corresponding to the region. In the embodiment, the smart air conditioner can pre-store the wave path coefficients corresponding to different regions after testing. As an example, the wave path coefficients corresponding to the first region and the twelfth region are 6; the wave path coefficients corresponding to the second region, the third region, the tenth region and the eleventh region are 4; the wave path coefficients corresponding to the fourth region, the fifth region, the eighth region and the ninth region are 2; and the wave path coefficients corresponding to the sixth region and the seventh region are 1. In this way, the wavelength interval widths of different regions can be calculated respectively in combination with the foregoing manner after the wave path coefficients of the corresponding regions are determined, which provides accurate data basis for the division of the signal unit for each region.

[0064] Optionally, the plurality of groups of detection signal units include a first detection signal unit, and the smart air conditioner controls the voice module to send a detection ultrasonic wave to the first detection signal unit, including:

[0065] The smart air conditioner controls the voice module to send the detection ultrasonic wave to the first detection signal unit for multiple times at a preset time interval. The frequency of the detection ultrasonic wave sent by the voice module each time is determined by the frequency of the detection ultrasonic wave sent by the voice module last time and a frequency correction strategy, and the frequency of the detection ultrasonic wave sent by the voice module to the first detection signal unit for the first time is an initial frequency.

[0066] In the present scheme, the intelligent air conditioner control voice module sends detection ultrasonic waves to the multiple groups of detection signal units in sequence according to the sequence number of the detection signal units. Here, the intelligent air conditioner sends detection ultrasonic waves to each group of detection signal units in the same way. Taking the first detection signal unit as an example, the intelligent air conditioner can control the voice module to send detection ultrasonic waves to the first detection signal unit multiple times at a preset time interval. The preset time interval can be 100 ms, and the frequency at which the voice module sends detection ultrasonic waves to the first detection signal unit for the first time is the initial frequency. Specifically, the initial frequency is the quotient of the wavelength λ1 selected by the first detection signal unit and the target sound speed. For example, after obtaining the temperature of the environment in which the intelligent air conditioner is located, the sound speed in the preset range of the intelligent air conditioner can be calculated and determined as the target sound speed. The preset range is a circumferential range with the intelligent air conditioner as the center and a radius of 1 meter. In this way, the initial frequency can be accurately calculated, and the voice module can be controlled to send detection ultrasonic waves for the first time at the initial frequency. It should be noted that the frequency of the detection ultrasonic waves sent by the voice module each time during the periodic detection ultrasonic wave sending process is different, and the frequency of the detection ultrasonic waves sent by the voice module each time is determined by the frequency of the detection ultrasonic waves sent by the voice module last time and the frequency correction strategy. In this way, the frequency of the detection ultrasonic waves sent by the voice module each time can be accurately calculated.

[0067] Optionally, the frequency correction strategy is determined in the following manner:

[0068] The intelligent air conditioner determines the current operating mode of the intelligent air conditioner.

[0069] In the case where the current operating mode of the intelligent air conditioner is the cooling mode, the intelligent air conditioner determines that the frequency correction strategy is to be increased by a second preset step size each time.

[0070] In the case where the current operating mode of the intelligent air conditioner is the heating mode, the intelligent air conditioner determines that the frequency correction strategy is to be decreased by a second preset step size each time.

[0071] In the embodiment, the smart air conditioner can determine the current operation mode of the smart air conditioner through the operation information thereof. Here, the current operation mode of the smart air conditioner can be a cooling mode or a heating mode. Further, in the case where the current operation mode of the smart air conditioner is the cooling mode, the smart air conditioner determines that the frequency correction strategy is to be increased by a second preset step length successively. Here, the second preset step length is 20 HZ. Specifically, the frequency of the probe ultrasonic wave sent for the second time = the initial frequency + 20, the frequency of the probe ultrasonic wave sent for the third time = the frequency of the probe ultrasonic wave sent for the second time + 20, the frequency of the probe ultrasonic wave sent for the fourth time = the frequency of the probe ultrasonic wave sent for the third time + 20, and so on. In this way, the frequency correction strategy can be determined accurately in the case where the current operation mode of the smart air conditioner is the cooling mode. Similarly, in the case where the current operation mode of the smart air conditioner is the heating mode, the smart air conditioner determines that the frequency correction strategy is to be decreased by the second preset step length successively. Here, the second preset step length is 20 HZ. Specifically, the frequency of the probe ultrasonic wave sent for the second time = the initial frequency - 20, the frequency of the probe ultrasonic wave sent for the third time = the frequency of the probe ultrasonic wave sent for the second time - 20, the frequency of the probe ultrasonic wave sent for the fourth time = the frequency of the probe ultrasonic wave sent for the third time - 20, and so on. In this way, the frequency correction strategy can be determined accurately in the case where the current operation mode of the smart air conditioner is the heating mode.

[0072] Optionally, the smart air conditioner determines the average temperature value of the first area according to the data fed back by the different groups of probe signal units, comprising:

[0073] The smart air conditioner processes the data fed back by each group of probe signal units respectively to determine the target wavelength and the target frequency of the first area.

[0074] The smart air conditioner takes the product of the target wavelength and the target frequency as the average sound speed of the first area.

[0075] The smart air conditioner calculates the average temperature value of the first area according to the average sound speed of the first area.

[0076] In the embodiment, the smart air conditioner processes the data fed back by each group of detection signal units respectively to determine the target wavelength and target frequency of the first region, including: the smart air conditioner processes the data fed back by each group of detection signal units in the first region in turn to obtain a plurality of groups of processed data; the smart air conditioner calculates each group of processed data in turn to obtain the area of the Lissajous figure of each group of data; the smart air conditioner compares the areas of the Lissajous figures of each group of data to screen out the wavelength and frequency corresponding to the Lissajous figure with the smallest area; and the smart air conditioner takes the wavelength and frequency corresponding to the Lissajous figure with the smallest area as the target wavelength and target frequency of the region. Understandably, the smart air conditioner processes the data fed back by each group of detection signal units in the same way. Specifically, taking the first group of detection signal units as an example, the smart air conditioner processes the data fed back by the first group of detection signal units, including: the smart air conditioner performs normalization processing on the data fed back by the first group of detection signal units to make the amplitude thereof in [-1, 1]; the smart air conditioner selects a band-pass filter in the [18K, 42k] interval to filter noise to reduce the noise interference of the environment in which the smart air conditioner is located; and the smart air conditioner intercepts the filtered data according to a width of 50 ms to obtain the processed data of the first group of detection signal units. It should be noted that, due to the limitation of the device, the detection frequency interval used in the embodiment is [20K, 40K]. The data fed back by the first group of detection signal units contains the sampling data of the first microphone and the second microphone in a plurality of frequency conversion periods. As a preferred solution, the plurality of frequency conversion periods can be 10. Further, the smart air conditioner calculates the processed data to obtain the area of the Lissajous figure of the intercepted width signal data. It should be emphasized that, since the data fed back by the first group of detection signal units contains the sampling data of the voice module in a plurality of frequency conversion periods, the area of the Lissajous figure needs to be calculated for the data of each frequency conversion period respectively. Specifically, the equation of the motion trajectory of the mass point of the Lissajous figure (amplitude is normalized) is X2+Y2-2XYcos(Δφ)=sin2(Δφ), which can be converted into a discrete form, and the calculation formula for determining the Lissajous area is S 李萨茹 =Σ(Yi+1+Yi)(Xi+1-Xi) / 2, where i represents any sampling point, the maximum value of i starts from zero, the sampling frequency is 96KHz, the sampling width is 50 milliseconds, the X direction represents the sampling waveform of the first microphone, and the Y direction represents the sampling waveform of the second microphone. In this way, the area of the Lissajous figure of the data fed back by the first group of detection signal units in a plurality of frequency conversion periods can be accurately obtained.

[0077] It can be understood that after the voice module sends a detection ultrasonic wave to a certain group of detection signal units, the detection ultrasonic wave will be reflected after encountering an obstacle, at which time the reflected ultrasonic wave will be received and recorded by the first microphone and the second microphone; due to the principle of coherent waves, the same wave will produce coherence due to different phases at different distances, and the area of the Lissajous figure formed when the phase difference between two waveforms is Δφ=nΠ is the smallest, and the wavelength corresponding to the smallest Lissajous figure area is the wavelength closest to the actual sound speed. Therefore, the intelligent air conditioner compares the areas of the Lissajous figures of each group of data after sequentially calculating the areas of the Lissajous figures of each group of data in the aforementioned manner, to screen out the wavelength and frequency corresponding to the Lissajous figure with the smallest area; thereby taking the wavelength and frequency corresponding to the Lissajous figure with the smallest area as the target wavelength and target frequency of the region. In this way, accurate determination of the target wavelength and target frequency can be achieved. Further, after determining the target wavelength and target frequency, the intelligent air conditioner can take the product of the target wavelength and the target frequency as the average sound speed of the first region. In this way, the average temperature value of the first region can be calculated based on the accurate calculation of the average sound speed of the first region. In this way, accurate determination of the average temperature value of the first region is achieved.

[0078] Optionally, the intelligent air conditioner calculates the average temperature value of the first region according to the average sound speed of the first region, comprising:

[0079] T 平均 =(V 平均 -331.45) / 0.61

[0080] Wherein, T 平均 is the average temperature value of the first region, and V 平均 is the average sound speed of the first region.

[0081] In an embodiment, after the intelligent air conditioner calculates the average sound speed of each region, the average temperature value of each region can be calculated by combining a specific algorithm. The average temperature value algorithm of each region is the same. Taking the first region as an example, T 平均 =(V 平均 -331.45) / 0.61; wherein T is the average temperature value of the first region, and V is the average sound speed of the first region. In this way, accurate calculation of the average temperature value is achieved.

[0082] Further, after determining the average temperature value of each of the plurality of regions by any of the aforementioned methods, the target region in the plurality of regions can be determined by combining the average temperature value of each of the plurality of regions. In this way, the target region that needs to be specially air-conditioned to balance the indoor temperature can be inferred by combining the average temperature value of each region, so that the target region determined in this way is more in line with the temperature distribution of the indoor space of the intelligent air conditioner.

[0083] It can be understood that, according to the principle of heat balance, if the refrigerating capacity of the intelligent air conditioner is equal to the heat conduction energy of each region in the indoor space, the intelligent air conditioner can provide the required cooling capacity for the indoor space. That is, the intelligent air conditioner operates according to the refrigerating capacity and reaches the best energy-saving state. In this way, in order to determine the target air supply strategy of the intelligent air conditioner, the intelligent air conditioner can calculate the heat conduction energy of each region, and determine the target air supply strategy of the intelligent air conditioner to the target region in combination with the heat conduction energy of each region. In this way, the accurate determination of the target air supply strategy can be achieved. Further, the intelligent air conditioner controls the air supply to the target region according to the target air supply strategy.

[0084] By using the method for controlling the intelligent air conditioner provided in the embodiments of the present disclosure, the indoor space where the intelligent air conditioner is located can be divided into multiple regions according to the preset division rule; a target region in the multiple regions can be determined according to the average temperature value of each region; a target air supply strategy of the intelligent air conditioner to the target region can be determined according to the heat conduction energy of each region; and the intelligent air conditioner is controlled to supply air to the target region according to the target air supply strategy. In this way, after the indoor space where the intelligent air conditioner is located is divided into multiple regions, the target region in the multiple regions can be accurately determined in combination with the average temperature value of each region, and the target air supply strategy of the intelligent air conditioner to the target region can be accurately determined in combination with the heat conduction energy of each region, so that the environment of the target region can be accurately regulated more targetedly in the case of controlling the intelligent air conditioner to supply air to the target region according to the target air supply strategy, the situation of uneven temperature distribution in the indoor environment can be quickly improved, and a more energy-saving intelligent air conditioner control scheme is provided for the user.

[0085] Figure 3 is a schematic diagram of a method for determining a target region provided in the embodiments of the present disclosure; in combination with Figure 3 As shown in FIG. 5, the method for controlling the intelligent air conditioner provided in the embodiments of the present disclosure can include the following steps.

[0086] S31, the intelligent air conditioner obtains the current operating mode of the intelligent air conditioner.

[0087] S32, the intelligent air conditioner determines a target region in the multiple regions according to the current operating mode of the intelligent air conditioner and the average temperature value of each region.

[0088] In this embodiment, the intelligent air conditioner can determine the current operating mode of the intelligent air conditioner through its operating information. Here, the current operating mode of the intelligent air conditioner can be a cooling mode or a heating mode. In this way, the accurate determination of the current operating mode of the intelligent air conditioner can be achieved.

[0089] It can be understood that the smart air conditioner can determine that the indoor space where the smart air conditioner is located needs cold when the smart air conditioner is running in the cooling mode; the smart air conditioner can determine that the indoor space where the smart air conditioner is located needs heat when the smart air conditioner is running in the heating mode. Therefore, after the smart air conditioner determines the current running mode, the smart air conditioner can determine the target region in the multiple regions in combination with the current running mode and the average temperature values of the multiple regions. In this way, the target region in the multiple regions can be accurately determined in combination with the cold and heat demand of the indoor space under different running modes.

[0090] Optionally, in S32, the smart air conditioner determines the target region in the multiple regions according to the current running mode of the smart air conditioner and the average temperature values of the multiple regions, including:

[0091] The smart air conditioner sequentially obtains the comparison result of the average temperature value of each region and the average temperature value of the adjacent region thereof.

[0092] In a case where the current running mode of the smart air conditioner is the cooling mode and the comparison result indicates that the average temperature value of one or more regions is lower than the average temperature value of the adjacent region thereof, the smart air conditioner determines that the one or more regions are the target region in the multiple regions.

[0093] In a case where the current running mode of the smart air conditioner is the heating mode and the comparison result indicates that the average temperature value of one or more regions is higher than the average temperature value of the adjacent region thereof, the smart air conditioner determines that the one or more regions are the target region in the multiple regions.

[0094] In the embodiment, the smart air conditioner can determine the adjacent regions of each region in advance. Specifically, the adjacent regions of each region are the regions on both sides of the region. For example, the adjacent regions of the second region are the first region and the third region, the adjacent regions of the third region are the second region and the fourth region, the adjacent regions of the fourth region are the third region and the fifth region, and so on. It should be noted that since the first region and the twelfth region are boundary regions, the adjacent region of the first region is set as the second region, and the adjacent region of the twelfth region is set as the eleventh region. Further, the smart air conditioner sequentially obtains the comparison results of the average temperature value of each region and the average temperature value of the adjacent region thereof. Here, the number of comparison results matches the number of regions. For example, if the average temperature value of the first region is 26.5℃, and the average temperature value of the adjacent second region is 26.3℃, it is determined that the comparison result of the average temperature value of the first region and the adjacent region is first region average temperature value > second region average temperature value; if the average temperature value of the sixth region is 24.8℃, the average temperature value of the adjacent fifth region is 25.3℃, and the average temperature value of the adjacent seventh region is 24.9℃, it is determined that the comparison result of the average temperature value of the sixth region and the adjacent region is fifth region average temperature value > seventh region average temperature value > sixth region average temperature value. In this way, the comparison results of each region and the adjacent region can be sequentially obtained, ensuring the accuracy of data acquisition.

[0095] Further, if the current operation mode of the smart air conditioner is the cooling mode, it is determined that the indoor space where the air conditioner is located needs cold energy, then one or more regions whose average temperature value is lower than that of the adjacent region are selected from the comparison results, and the one or more regions are determined as the target region. For example, if the average temperature value of the first region < the average temperature value of the second region, the average temperature value of the fourth region < the average temperature value of the fifth region < the average temperature value of the third region, and the average temperature value of the twelfth region < the average temperature value of the eleventh region are selected from the comparison results, the first region, the fourth region, and the twelfth region can be determined as the target region needing cold energy when the smart air conditioner operates in the cooling mode. With this scheme, the accurate determination of the target region can be realized when the air conditioner operates in the cooling mode.

[0096] Similarly, if the current operation mode of the intelligent air conditioner is the heating mode, it is determined that the indoor space where the air conditioner is located needs heat, and one or more regions with an average temperature value higher than that of adjacent regions are selected from the comparison results as target regions. For example, if the average temperature value of the second region is greater than that of the first region, the average temperature value of the third region is greater than that of the seventh region, the average temperature value of the eighth region is greater than that of the sixth region, and the average temperature value of the twelfth region is greater than that of the eleventh region, the second region, the seventh region and the twelfth region can be determined as target regions that need heat when the intelligent air conditioner operates in the heating mode. In this way, the target region can be accurately determined when the air conditioner operates in the heating mode.

[0097] Figure 4 is a schematic diagram of a method for determining a target air supply strategy provided by the embodiments of the present disclosure; in combination with Figure 4 As shown in FIG. 7, optionally, S23, the intelligent air conditioner determines a target air supply strategy of the target region according to the heat conduction energy of each region, including:

[0098] S41, the intelligent air conditioner adds the heat conduction energy of the adjacent region of the target region to obtain the heat conduction heat energy of the target region.

[0099] S42, the intelligent air conditioner determines the target operation power of the intelligent air conditioner according to the heat conduction heat energy of the target region.

[0100] S43, the intelligent air conditioner controls the intelligent air conditioner to operate at the target operation power as the target air supply strategy of the target region.

[0101] In this embodiment, the intelligent air conditioner adds the heat conduction energy of the adjacent region of the target region to obtain the heat conduction heat energy of the target region, including: the intelligent air conditioner obtains the heat conduction energy of each region; and the intelligent air conditioner adds the heat conduction energy of the adjacent region of the target region to obtain the heat conduction heat energy of the target region. Specifically, the heat conduction energy of each region is obtained in the same way. Taking the second region as an example, optionally, the intelligent air conditioner obtains the heat conduction energy of the second region, including: the intelligent air conditioner obtains the temperature difference value of the hot surface and the cold surface of the second region, the heat conductivity coefficient, the area of the cold surface of the second region and the cross-sectional thickness; and the intelligent air conditioner calculates the heat conduction energy of the second region according to the temperature difference value of the hot surface and the cold surface of the second region, the heat conductivity coefficient, the area of the cold surface of the second region and the cross-sectional thickness.

[0102] Optionally, the smart air conditioner obtains the temperature difference value of the hot face and the cold face of the second region, including: the smart air conditioner obtains the temperature value of the hot face and the temperature value of the cold face of the second region; the smart air conditioner takes the difference value of the temperature value of the hot face and the temperature value of the cold face of the second region as the temperature difference value of the hot face and the cold face of the second region. As shown in Figure 1-2 , the region is the second region, and the two sides of the second region include two region sections, wherein the section with higher temperature is the hot face, and the section with lower temperature is the cold face, and the temperature values of the hot face and the cold face can be determined by the temperature values of the adjacent regions. For example, the side of the second region connected with the first region is the cold face, and the side of the second region connected with the third region is the hot face, and the temperature value of the cold face of the second region is determined as the temperature value of the first region, and the temperature value of the hot face of the second region is determined as the temperature value of the third region. In this way, the temperature values of the hot face and the cold face of the second region can be accurately determined, and the temperature difference value of the hot face and the cold face of the second region can be calculated more accurately.

[0103] Optionally, the thermal conductivity is generated by the uninterrupted collision of molecules. Heat moves along the temperature gradient, i.e. from the region with high temperature and high molecular energy to the region with lower temperature and lower molecular energy. This transfer will continue until thermal equilibrium. The thermal conductivity, quantified using the International System of Units (SI units) W / m·K (Watts per meter per Kelvin), is the inverse of the thermal resistivity, which measures the ability of an object to resist heat transfer.

[0104] Optionally, the smart air conditioner obtains the area of the cold face of the second region, including:

[0105] The smart air conditioner obtains the cold face section width and the indoor house height;

[0106] The smart air conditioner determines the area of the cold face of the second region according to the cold face section width and the indoor house height.

[0107] As shown in Figure 1-2 , as an example, the cold face section width Bc can be obtained by sending a ranging ultrasonic wave through the voice module of the smart air conditioner; and the recommended bedroom height value in the national standard can be taken as the indoor house height. In this way, after the smart air conditioner obtains the cold face section width and the indoor house height, the product of the cold face section width and the indoor house height can be taken as the area of the cold face of the second region. That is, 第二 = Bc * L; wherein, 第二 S is the area of the cold face of the second region, Bc is the cold face section width, and L is the indoor house height.

[0108] As shown in Figure 1-2As shown, it can be understood that the adjacent regions are all formed as sectors with a fixed included angle a, and a is 10° as an example. The arc length corresponding to the adjacent section boundaries is the maximum distance between the two sections. In this way, the average distance between the adjacent sections, i.e., the section thickness H, can be calculated as the median of the arc length calculated based on the cold face section radius. Optionally, the section thickness H can be calculated as follows:

[0109] H = 2 * π * Bc * a / 360

[0110] where H is the section thickness, and Bc is the cold face section width. In this way, the section thickness can be accurately determined.

[0111] Further, after the intelligent air conditioner obtains the temperature difference value of the hot face and the cold face of the second region, the thermal conductivity coefficient, the area of the cold face of the second region, and the section thickness, the intelligent air conditioner can calculate the heat conduction energy of the second region according to the temperature difference value of the hot face and the cold face of the second region, the thermal conductivity coefficient, the area of the cold face of the second region, and the section thickness. Specifically, the intelligent air conditioner calculates the heat conduction energy of the second region according to the temperature difference value of the hot face and the cold face of the second region, the thermal conductivity coefficient, the area of the cold face of the second region, and the section thickness, including:

[0112] Q 第二 = △T * λ * S 第二 / H

[0113] where Q is the heat conduction energy of the second region, △T is the temperature difference value of the hot face and the cold face of the second region, λ is the thermal conductivity coefficient, S 第二 is the area of the cold face of the second region, and H is the section thickness. In this way, the heat conduction energy of the second region can be accurately calculated.

[0114] It can be understood that the calculation method of the heat conduction energy of each region is the same. Therefore, to calculate the heat conduction energy of different regions, Q = △T·λ·S / H can be used. Where Q is the heat conduction energy of the region, △T is the temperature difference value of the hot face and the cold face of the region, λ is the thermal conductivity coefficient, S is the area of the cold face of the region, and H is the section thickness. In this way, the heat conduction energy of each region can be obtained.

[0115] Further, the intelligent air conditioner can add the heat conduction energy of the adjacent regions of the target region to obtain the heat conduction heat energy of the target region. For example, if the second region is the target region, the heat conduction energy of the first region and the heat conduction energy of the third region can be added to obtain the heat conduction heat energy of the target region. In this way, the heat conduction heat energy of the target region can be accurately calculated.

[0116] It can be understood that, according to the principle of heat balance, if the refrigerating / heat capacity of the intelligent air conditioner is equal to the heat conduction energy of each region in the room, the intelligent air conditioner can provide the required energy for the indoor space. That is, the intelligent air conditioner operates according to the refrigerating / heat capacity, which also achieves the best energy-saving state. Therefore, the intelligent air conditioner determines the target operating power of the intelligent air conditioner according to the heat conduction heat energy of the target region, including: the intelligent air conditioner matches the operating power associated with the heat conduction heat energy of the target region in the service end to take it as the target operating power. Wherein, the service end pre-stores the operating power of the intelligent air conditioner corresponding to different heat conduction heat energy respectively, and the aforementioned corresponding relationship is obtained by the researchers through experiments. In this way, the accuracy of obtaining the target operating power is ensured, so that the target operating power determined in this way is more in line with the heat conduction law of the target region.

[0117] Further, the intelligent air conditioner controls the intelligent air conditioner to operate at the target operating power as the target air supply strategy of the intelligent air conditioner to the target region. In this way, the air conditioner operating power can be set more energy-efficiently to meet the user's energy-saving control demand for the intelligent air conditioner.

[0118] Figure 5 is another method for determining the target air supply strategy provided by the embodiments of the present disclosure; in combination with Figure 5 As shown in the figure, optionally, S23, the intelligent air conditioner determines the target air supply strategy of the intelligent air conditioner to the target region according to the heat conduction energy of each of the plurality of regions, including:

[0119] S51, the intelligent air conditioner adds the heat conduction energy of the adjacent region of the target region to obtain the heat conduction heat energy of the target region.

[0120] S52, the intelligent air conditioner adds the heat conduction energy of each of the plurality of regions to obtain the total heat conduction energy.

[0121] S53, the intelligent air conditioner determines the target air supply strategy of the intelligent air conditioner to the target region according to the ratio of the heat conduction heat energy of the target region to the total heat conduction energy.

[0122] S54, the intelligent air conditioner controls the intelligent air conditioner to supply air to the target region according to the target air supply strategy of the intelligent air conditioner to the target region.

[0123] In this scheme, the heat conduction energy of the adjacent region of the target region can be added by the foregoing method to obtain the heat conduction heat energy of the target region. Further, the intelligent air conditioner can add the heat conduction energy of each of the plurality of regions to obtain the total heat conduction energy. That is, the total heat conduction energy is the sum of the heat conduction energy of the first region to the twelfth region. In this way, the accurate determination of the total heat conduction energy can be realized.

[0124] Further, after obtaining the heat conduction heat energy and the total heat conduction energy of the target area, the intelligent air conditioner can calculate the ratio of the heat conduction heat energy to the total heat conduction energy of the target area. The ratio of the heat conduction heat energy to the total heat conduction energy of the target area = heat conduction heat energy of the target area / total heat conduction energy. Specifically, according to the ratio of the heat conduction heat energy to the total heat conduction energy of the target area, the intelligent air conditioner determines the target swing retention time of the intelligent air conditioner to the target area, including: obtaining the total swing time of the intelligent air conditioner in each air supply period; the intelligent air conditioner takes the product of the total swing time and the ratio of the heat conduction heat energy to the total heat conduction energy of the target area as the target swing retention time of the intelligent air conditioner to the target area. That is, T 目标 = T 总 * k; wherein T 目标 is the target swing retention time of the intelligent air conditioner to the target area, T 总 is the total swing time, and k is the ratio of the heat conduction heat energy to the total heat conduction energy of the target area. In this embodiment, the total swing time of the intelligent air conditioner in one air supply period is the total time of the intelligent air conditioner to supply air in turn according to the region serial number sequence. The region serial number sequence is the first region, the second region, the third region, and so on. As an example, the total swing time of the intelligent air conditioner in each air supply period is 60 seconds. In this way, the target swing retention time of the intelligent air conditioner to the target area can be accurately determined in combination with the specific algorithm. Further, the intelligent air conditioner can control the intelligent air conditioner to supply air to the target area according to the target swing retention time as the target air supply strategy of the intelligent air conditioner to the target area. In this way, the target swing retention time of the intelligent air conditioner to the target area can be accurately determined in combination with the ratio of the heat conduction heat energy to the total heat conduction energy of the target area.

[0125] In an optimized scheme, in the case of controlling the intelligent air conditioner to supply air to the target area according to the target swing retention time, the intelligent air conditioner is controlled to swing uniformly left and right to other areas. Here, the other areas are the areas in the indoor environment except the target area. In this way, it is convenient to form air convection more quickly, so as to quickly reach thermal equilibrium of the indoor environment.

[0126] Optionally, after controlling the intelligent air conditioner to supply air to the target area according to the target air supply strategy, the method further comprises:

[0127] The intelligent air conditioner obtains the indoor environment temperature and the outdoor environment temperature of the indoor environment where the intelligent air conditioner is located.

[0128] The intelligent air conditioner determines a secondary control strategy of the intelligent air conditioner according to the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature.

[0129] The intelligent air conditioner controls the intelligent air conditioner to execute the secondary control strategy.

[0130] In the embodiment, after the intelligent air conditioner controls the intelligent air conditioner to perform air supply to the target area according to the target air supply strategy, the intelligent air conditioner can further acquire the indoor environment temperature and the outdoor environment temperature of the indoor environment where the intelligent air conditioner is located through the environment temperature sensor. Further, the intelligent air conditioner can determine the secondary control strategy of the intelligent air conditioner in combination with the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature. In this way, the secondary control strategy determined in this way can be more in line with the indoor and outdoor environment temperature conditions. So that the indoor environment where the intelligent air conditioner is located can be accurately regulated and controlled when the intelligent air conditioner controls the intelligent air conditioner to perform the secondary control strategy, meeting the user's energy-saving control demand for the intelligent air conditioner.

[0131] Optionally, the intelligent air conditioner determines the secondary control strategy of the intelligent air conditioner according to the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature, comprising:

[0132] In the case where the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature is greater than the set threshold, the intelligent air conditioner determines the secondary control strategy of the intelligent air conditioner as controlling the intelligent air conditioner according to the thermal comfort value output by the thermal comfort model.

[0133] In the case where the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature is less than the set threshold, the intelligent air conditioner determines the secondary control strategy of the intelligent air conditioner as controlling the intelligent air conditioner to perform the energy-saving control strategy.

[0134] In the embodiment, in the case where the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature is greater than the set threshold, the intelligent air conditioner determines the secondary control strategy as controlling the intelligent air conditioner according to the thermal comfort value output by the thermal comfort model. As an example, the set threshold is 3℃. With this scheme, the user's comfort feeling can be given priority in the case of large indoor and outdoor temperature difference, so that the control strategy determined in this way meets the user's control demand for the intelligent air conditioner.

[0135] Similarly, in the case where the absolute value of the difference between the indoor environment temperature and the outdoor environment temperature is less than the set threshold, the intelligent air conditioner determines the secondary control strategy as controlling the intelligent air conditioner to perform the energy-saving control strategy. The energy-saving control strategy includes controlling the intelligent air conditioner to perform air supply to the target area according to the target air supply strategy again. In this way, the energy consumption of the intelligent air conditioner during operation can be given priority in the case of small indoor and outdoor temperature difference, so that the control strategy determined in this way can adjust the indoor environment while avoiding energy waste, meeting the user's energy-saving control demand for the intelligent air conditioner.

[0136] Optionally, the embodiment of the present disclosure provides a device for controlling an intelligent air conditioner, comprising a division module, a first determination module, a second determination module and a control module. The division module is configured to divide an indoor space where the intelligent air conditioner is located into multiple areas according to a preset division rule; the first determination module is configured to determine a target area in the multiple areas according to respective average temperature values of the multiple areas; the second determination module is configured to determine a target air supply strategy of the intelligent air conditioner for the target area according to respective heat conduction energies of the multiple areas; and the control module is configured to control the intelligent air conditioner to supply air to the target area according to the target air supply strategy.

[0137] The device for controlling an intelligent air conditioner provided by the embodiment of the present disclosure can divide an indoor space where the intelligent air conditioner is located into multiple areas according to a preset division rule, determine a target area in the multiple areas according to respective average temperature values of the multiple areas, determine a target air supply strategy of the intelligent air conditioner for the target area according to respective heat conduction energies of the multiple areas, and then control the intelligent air conditioner to supply air to the target area according to the target air supply strategy. In this way, after the indoor space where the intelligent air conditioner is located is divided into multiple areas, a target area in the multiple areas can be accurately determined in combination with respective average temperature values of the multiple areas, and a target air supply strategy of the intelligent air conditioner for the target area can be accurately determined in combination with respective heat conduction energies of the multiple areas, so that the environment of the target area can be more accurately regulated and controlled in a more targeted manner when the intelligent air conditioner is controlled to supply air to the target area according to the target air supply strategy, thereby facilitating the rapid improvement of the uneven temperature distribution of the indoor environment and providing a more energy-saving intelligent air conditioner control scheme for the user.

[0138] Figure 6 is a schematic diagram of a device for controlling an intelligent air conditioner provided by the embodiment of the present disclosure; in combination with Figure 6 As shown in the figure, the device for controlling an intelligent air conditioner provided by the embodiment of the present disclosure comprises a processor 100 and a memory 101. Optionally, the device can further comprise a communication interface 102 and a bus 103. The processor 100, the communication interface 102 and the memory 101 can complete communication with each other through the bus 103. The communication interface 102 can be used for information transmission. The processor 100 can invoke the logic instructions in the memory 101 to execute the method for controlling an intelligent air conditioner of the above-mentioned embodiment.

[0139] In addition, the logic instructions in the memory 101 described above can be implemented in the form of a software functional unit and sold or used as an independent product, which can be stored in a computer readable storage medium.

[0140] The memory 101 can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the method in the embodiments of the present disclosure. The processor 100 executes the function application and data processing by running the program instructions / modules stored in the memory 101, that is, implements the method for controlling the intelligent air conditioner in the above embodiments.

[0141] The memory 101 can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data created according to the use of the terminal device, etc. In addition, the memory 101 can include a high-speed random access memory, and can also include a non-volatile memory.

[0142] The embodiments of the present disclosure provide an intelligent air conditioner comprising the above-described device for controlling the intelligent air conditioner.

[0143] The embodiments of the present disclosure provide a computer readable storage medium storing computer executable instructions, the computer executable instructions being configured to execute the above-described method for controlling the intelligent air conditioner.

[0144] The embodiments of the present disclosure provide a computer program product, the computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, causing the computer to execute the above-described method for controlling the intelligent air conditioner.

[0145] The above-described computer readable storage medium can be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

[0146] The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium can be a non-transitory storage medium, including a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, etc. various media that can store program codes, or a transitory storage medium.

[0147] The above description and drawings are illustrative of embodiments of the present disclosure and are not intended to be limiting. Other embodiments can include structural, logical, electrical, process, and other changes. Embodiments are merely representative of possible variations. Individual components and functions are optional unless explicitly required, and the order of operations can be varied. Portions and features of some embodiments can be included in, or substituted for, those of other embodiments. Also, words used in this document and claims are words of description, not limitation. As used in the description and claims herein, 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 herein refers to any one or more of the associated listed items, optionally including zero of the associated listed items. Additionally, the term "comprising" and variations thereof as used herein are intended to be open-ended terms that specify the presence of the stated features, elements, steps, operations, integers, and / or components, but do not preclude the presence or addition of one or more other features, elements, steps, operations, integers, components, and / or groups thereof. The term "consisting of" as used herein is intended to be a closed term that specifies the presence of the stated features, elements, steps, operations, integers, and / or components, but does not preclude the presence or addition of one or more other features, elements, steps, operations, integers, components, and / or groups thereof. Unless otherwise expressly stated, mechanisms of the present disclosure can be implemented in either hardware, software, or a combination thereof. The description herein assumes that the mechanisms are implemented in software, unless specifically stated otherwise. If implemented in hardware, as one of ordinary skill in the art will readily understand, the principles of the present disclosure can be implemented in either a completely hardware state or using a combination of hardware and software. If implemented in software, the software including one or more computer readable instructions to perform the functions of the present disclosure can be stored on one or more computer readable media such as, but not limited to, RAM, ROM, EEPROM, flash memory, or any other form of memory. The computer readable instructions can be executed by one or more processors of one or more computers or other programmable devices to produce the functions of the present disclosure. The description herein assumes that the mechanisms are implemented in software, unless specifically stated otherwise.

[0148] Those skilled in the art can understand that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of the embodiments of the present disclosure. The skilled person can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, devices and units can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0149] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to apparatuses, devices, etc.), can be implemented in other manners. For example, the described apparatus embodiments can be implemented only in a form of a logical function, and can be implemented by using a manner such as software (for example, application program) or the like. In some embodiments, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling or direct coupling or indirect coupling between different units, or the coupling or direct coupling or indirect coupling between the displayed or discussed communication connections can be in a form of electrical, mechanical or other forms.

[0150] The flowcharts and block diagrams in the drawings show the possible implementation architectures, functions and operations of the system, method and computer program product according to the embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks can occur in an order different from that noted in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the drawings, the operations or steps corresponding to different blocks can also occur in an order different from that disclosed in the descriptions, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. Each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for controlling an intelligent air conditioner, characterized in that, The method includes: The indoor space where the smart air conditioner is located is divided into multiple areas according to the preset division rules; Determining a target area among multiple regions based on their respective average temperature values ​​includes: obtaining the current operating mode of the smart air conditioner; and determining the target area among multiple regions based on the current operating mode of the smart air conditioner and the average temperature values ​​of the multiple regions. Based on the heat conduction energy of each of the multiple regions, the target air supply strategy of the intelligent air conditioner for the target region is determined, including: adding the heat conduction energy of the adjacent regions of the target region to obtain the heat conduction energy of the target region; determining the target operating power of the intelligent air conditioner based on the heat conduction energy of the target region; and using the control of the intelligent air conditioner to operate at the target operating power as the target air supply strategy of the intelligent air conditioner for the target region. Control the intelligent air conditioner to deliver air to the target area according to the target air delivery strategy; The step of determining the target area among the multiple areas based on the current operating mode of the smart air conditioner and the average temperature values ​​of each area includes: sequentially obtaining the comparison results of the average temperature value of each area with the average temperature value of its adjacent areas; when the current operating mode of the smart air conditioner is cooling mode and the comparison results indicate that the average temperature value of one or more areas is lower than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas; when the current operating mode of the smart air conditioner is heating mode and the comparison results indicate that the average temperature value of one or more areas is higher than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas.

2. A method for controlling an intelligent air conditioner, characterized in that, The method includes: The indoor space where the smart air conditioner is located is divided into multiple areas according to the preset division rules; Determining a target area among multiple regions based on their respective average temperature values ​​includes: obtaining the current operating mode of the smart air conditioner; and determining the target area among multiple regions based on the current operating mode of the smart air conditioner and the average temperature values ​​of the multiple regions. Based on the heat conduction energy of multiple regions, the target air supply strategy of the intelligent air conditioner for the target region is determined, including: adding the heat conduction energy of adjacent regions of the target region to obtain the heat conduction energy of the target region; adding the heat conduction energy of multiple regions to obtain the total heat conduction energy; determining the target swing residence time of the intelligent air conditioner for the target region based on the ratio of the heat conduction energy of the target region to the total heat conduction energy; and using the control of the intelligent air conditioner to supply air to the target region according to the target swing residence time as the target air supply strategy of the intelligent air conditioner for the target region. Control the intelligent air conditioner to deliver air to the target area according to the target air delivery strategy; The step of determining the target area among the multiple areas based on the current operating mode of the smart air conditioner and the average temperature values ​​of each area includes: sequentially obtaining the comparison results of the average temperature value of each area with the average temperature value of its adjacent areas; when the current operating mode of the smart air conditioner is cooling mode and the comparison results indicate that the average temperature value of one or more areas is lower than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas; when the current operating mode of the smart air conditioner is heating mode and the comparison results indicate that the average temperature value of one or more areas is higher than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas.

3. The method according to claim 1 or 2, characterized in that, After controlling the intelligent air conditioner to supply air to the target area according to the target air supply strategy, the method further includes: The indoor and outdoor ambient temperatures of the smart air conditioner are obtained. The secondary control strategy of the intelligent air conditioner is determined based on the absolute value of the difference between the indoor and outdoor ambient temperatures. Control the intelligent air conditioner to execute the secondary control strategy.

4. The method according to claim 3, characterized in that, The step of determining the secondary control strategy of the intelligent air conditioner based on the absolute value of the difference between the indoor and outdoor ambient temperatures includes: If the absolute value of the difference between the indoor ambient temperature and the outdoor ambient temperature is greater than a set threshold, the secondary control strategy of the intelligent air conditioner is determined to be to control the intelligent air conditioner according to the thermal comfort value output by the thermal comfort model. If the absolute value of the difference between the indoor and outdoor ambient temperatures is less than a set threshold, the secondary control strategy for the smart air conditioner is determined to be to control the smart air conditioner to execute an energy-saving control strategy.

5. A device for controlling an intelligent air conditioner, characterized in that, include: The partitioning module is configured to divide the indoor space where the smart air conditioner is located into multiple areas according to preset partitioning rules; The first determining module is configured to determine a target area among the multiple areas based on the average temperature values ​​of each of the multiple areas, including: obtaining the current operating mode of the smart air conditioner; and determining the target area among the multiple areas based on the current operating mode of the smart air conditioner and the average temperature values ​​of each of the multiple areas. The second determining module is configured to determine the target air supply strategy of the intelligent air conditioner for the target area based on the heat conduction energy of each of the multiple areas, including: adding the heat conduction energy of the adjacent areas of the target area to obtain the heat conduction energy of the target area; determining the target operating power of the intelligent air conditioner based on the heat conduction energy of the target area; and controlling the intelligent air conditioner to operate at the target operating power as the target air supply strategy of the intelligent air conditioner for the target area. The control module is configured to control the smart air conditioner to deliver air to the target area according to the target air delivery strategy; The step of determining the target area among the multiple areas based on the current operating mode of the smart air conditioner and the average temperature values ​​of each area includes: sequentially obtaining the comparison results of the average temperature value of each area with the average temperature value of its adjacent areas; when the current operating mode of the smart air conditioner is cooling mode and the comparison results indicate that the average temperature value of one or more areas is lower than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas; when the current operating mode of the smart air conditioner is heating mode and the comparison results indicate that the average temperature value of one or more areas is higher than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas.

6. A device for controlling an intelligent air conditioner, characterized in that, include: The partitioning module is configured to divide the indoor space where the smart air conditioner is located into multiple areas according to preset partitioning rules; The first determining module is configured to determine a target area among the multiple areas based on the average temperature values ​​of each of the multiple areas, including: obtaining the current operating mode of the smart air conditioner; and determining the target area among the multiple areas based on the current operating mode of the smart air conditioner and the average temperature values ​​of each of the multiple areas. The second determining module is configured to determine the target air supply strategy of the intelligent air conditioner for the target area based on the heat conduction energy of each of the multiple areas, including: adding the heat conduction energy of the adjacent areas of the target area to obtain the heat conduction energy of the target area; adding the heat conduction energy of each of the multiple areas to obtain the total heat conduction energy; determining the target swing dwell time of the intelligent air conditioner for the target area based on the ratio of the heat conduction energy of the target area to the total heat conduction energy; and using the control of the intelligent air conditioner to supply air to the target area according to the target swing dwell time as the target air supply strategy of the intelligent air conditioner for the target area. The control module is configured to control the smart air conditioner to deliver air to the target area according to the target air delivery strategy; The step of determining the target area among the multiple areas based on the current operating mode of the smart air conditioner and the average temperature values ​​of each area includes: sequentially obtaining the comparison results of the average temperature value of each area with the average temperature value of its adjacent areas; when the current operating mode of the smart air conditioner is cooling mode and the comparison results indicate that the average temperature value of one or more areas is lower than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas; when the current operating mode of the smart air conditioner is heating mode and the comparison results indicate that the average temperature value of one or more areas is higher than the average temperature value of its adjacent areas, determining one or more areas as the target area among the multiple areas.

7. A device for controlling an intelligent air conditioner, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute, when running the program instructions, the method for controlling an intelligent air conditioner as described in any one of claims 1 to 4.

8. A smart air conditioner, characterized in that, Includes the device for controlling a smart air conditioner as described in any one of claims 5 to 7.

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