A control method of an air conditioner and an air conditioner

Abstract

The application provides a control method of an air conditioner and the air conditioner, the control method comprises the following steps: obtaining a temperature distribution of a target position, emitting an induction wave to the target position and receiving a reflected wave; determining a first covered area where a target object is located according to the temperature distribution, and recording a starting moment of a turning-over action of the target object; obtaining a temperature difference between the first covered area and an idle area before the turning-over, obtaining a temperature change rate of a second covered area and a phase change rate of the reflected wave after the turning-over; identifying a bed linen material type according to the reflected wave and obtaining a material thermal characteristic parameter of the bed linen; evaluating a heat dissipation capacity of the bed linen by combining the above-mentioned temperature difference, the temperature change rate, the phase change rate and the material thermal characteristic parameter, determining an air outlet response level according to the heat dissipation capacity and the temperature difference, and performing adjustment. The application solves the problem that the existing air conditioner sleep control does not consider the difference in thermal and humid characteristics of different bed linen materials, resulting in insufficient control precision, and realizes adaptive air outlet control according to the bed linen material.

Description

Technical Field

[0001] This invention relates to the field of air conditioner technology, and more specifically, to an air conditioner control method and an air conditioner. Background Technology

[0002] As living standards improve, users have higher and higher requirements for the intelligent control of air conditioners, especially in sleep scenarios. Air conditioners need to be able to automatically adjust the air output parameters according to the user's actual thermal comfort state in order to improve the user's sleep quality.

[0003] To address these issues, some air conditioners have begun to incorporate sensor technology to detect user status, such as using infrared sensors to detect the user's body surface temperature or radar sensors to detect the user's movements, and adjusting the airflow parameters based on the detection results.

[0004] However, the relevant technologies have at least one of the following problems: the sleep control method of air conditioners usually only controls based on the user's body surface temperature or movement information, without considering the impact of different bedding materials on the user's thermal comfort during sleep; when users use bedding of different materials, the actual temperature and humidity regulation effect produced by the same control strategy varies significantly, resulting in insufficient control precision and failure to meet the user's actual needs. Summary of the Invention

[0005] The technical problem solved by this invention is that the sleep control method of air conditioners usually only controls based on the user's body surface temperature or movement information, without considering the impact of different bedding materials on the user's thermal comfort during sleep; when the user uses bedding of different materials, the actual temperature and humidity regulation effect produced by the same control strategy varies significantly, resulting in insufficient control precision and failure to meet the user's actual needs.

[0006] To address the aforementioned problems, this invention provides a control method for an air conditioner, comprising: acquiring the temperature distribution at a target location; transmitting an induction wave to the target location and receiving the reflected echo; determining the area where a target object is located at the target location based on the temperature distribution, and recording it as a first coverage area; monitoring the action of the target object and recording the moment of the action as the start time of the action; at the start time of the action, acquiring the temperature difference between the first coverage area and a first idle area of ​​the target location excluding the first coverage area; within a preset time window after the start time of the action, acquiring the temperature change rate of a second coverage area covered by the target object after its action, and acquiring the phase change rate of the reflected echo fed back from the second coverage area; identifying the material type of the bedding at the target location based on the reflected echo, and acquiring material thermal characteristic parameters based on the material type; evaluating the heat dissipation capacity of the second coverage area based on the temperature change rate, phase change rate, and material thermal characteristic parameters; determining the air outlet response level based on the temperature difference and heat dissipation capacity; and controlling the air conditioner to perform air outlet adjustment operation based on the air outlet response level.

[0007] Compared with existing technologies, the technical effects achieved by this solution are as follows: By acquiring the temperature distribution at the target location and emitting induced waves to the target location and receiving reflected echoes, the temperature difference between the first covered area and the unoccupied area outside the covered area is acquired before the turning-over action, thereby obtaining the degree of heat accumulation at the bedding interface; after the turning-over action, the temperature change rate of the newly covered second area is acquired, thereby obtaining the speed of heat conduction from the human body to the bedding, and the phase change rate of the reflected echo in this area is acquired, thereby obtaining the speed of change of the dielectric properties of the bedding fibers due to the absorption of sweat; further, the bedding material type is identified based on the reflected echoes and the material thermal characteristic parameters are obtained; by combining the above four types of information—temperature difference, temperature change rate, phase change rate, and material thermal characteristic parameters—the overall heat dissipation capacity of the bedding interface is evaluated, and the air outlet response level is determined accordingly and adjustment operations are performed, realizing adaptive control of the air conditioner based on the user's actual thermal comfort state and the characteristics of the bedding material.

[0008] In one embodiment of the present invention, before the start of the action, the control method includes: continuously acquiring a first temperature time series of a first coverage area and a second temperature time series of a first idle area at a first preset sampling frequency within a preset monitoring period; generating a temperature difference time series based on the difference between the first temperature time series and the second temperature time series at each sampling time; and determining the temperature change trend before the start of the action based on the temperature difference time series.

[0009] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: by continuously acquiring the first temperature time series of the first coverage area and the second temperature time series of the first idle area at a first preset sampling frequency within a preset monitoring period before the start of the action, and calculating the difference between the two at each sampling time to generate a temperature difference time series, and then determining the temperature change trend before the start of the action based on the time series.

[0010] In one embodiment of the present invention, obtaining the temperature difference between a first covered area and a first vacant area other than the first covered area at the target location includes: obtaining the instantaneous temperature difference at the start of the action; determining the cumulative change before the start of the action based on the temperature difference time series; determining a correction coefficient based on the instantaneous temperature difference and the cumulative change; correcting the instantaneous temperature difference based on the correction coefficient to obtain a corrected temperature difference; and determining the airflow response level based on the corrected temperature difference.

[0011] Compared with existing technologies, the technical effects achieved by this technical solution are as follows: obtain the instantaneous temperature difference of the target object reflecting the current heat accumulation at the start of the action, determine the cumulative change before the start of the action based on the temperature difference time series, determine the correction coefficient after merging the two, use the correction coefficient to correct the instantaneous temperature difference to obtain the corrected temperature difference, and finally determine the air supply response level based on the corrected temperature difference.

[0012] In one embodiment of the present invention, obtaining the temperature change rate of the second coverage area covered by the target object after the action includes: automatically updating the temperature distribution and tracking the second coverage area covered by the target object after the action, starting from the start time; continuously obtaining a third temperature time series of the second coverage area at a second preset sampling frequency within a preset time window; and calculating the temperature change rate of the second coverage area within the preset time window based on the third temperature time series.

[0013] Compared with existing technologies, the technical effects achieved by this technical solution are as follows: by updating the temperature distribution from the start of the action and tracking the second coverage area covered by the target object after the action, the third temperature time series of the area is continuously acquired at a second preset sampling frequency within a preset time window, and the temperature change rate is calculated based on the series, so as to truly reflect the process of heat being conducted from the target object to the bedding.

[0014] In one embodiment of the present invention, obtaining the phase change rate of the reflected echo fed back from the second coverage area includes: automatically locating the spatial position of the second coverage area within the target location from a starting time; adjusting the emission direction of the induction wave according to the spatial position so that the induction wave is directionally sent to the second coverage area; receiving the reflected echo fed back from the second coverage area and collecting phase data of the reflected echo at a third preset sampling frequency within a preset time window to generate a phase time series; processing the phase time series to obtain the phase value at each sampling time in the phase time series; and calculating the phase change rate of the second coverage area based on the phase value at each sampling time.

[0015] Compared with existing technologies, the technical effects achieved by this solution are as follows: First, directional emission ensures that both the measurement objects of the phase change rate and the temperature change rate are within the second coverage area. Second, continuous sampling acquires the continuous trajectory of phase change over time within a preset time window. Third, the phase shift of the reflected echo is measured by the rate at which the moisture content of the bedding fibers changes due to the absorption of sweat. Fourth, the phase change rate represents a physical quantity representing the moisture wicking capacity of the bedding interface. Finally, the phase change rate and the temperature change rate are combined to form an assessment of heat transfer and potential heat transfer.

[0016] In one embodiment of the present invention, identifying the material type of the bedding at a target location based on the reflected echo, and obtaining material thermal characteristic parameters based on the material type, includes: analyzing the reflected echo to extract the angular distribution and phase shift of the reflected echo; extracting a first feature of the bedding surface based on the angular distribution; the first feature representing the roughness of the bedding surface; extracting a second feature of the bedding fibers based on the phase shift; the second feature representing the moisture absorption characteristics of the bedding fibers; determining the material type of the bedding based on the first and second features; and matching and obtaining the corresponding material thermal characteristic parameters from a preset material parameter database based on the material type.

[0017] Compared with existing technologies, the technical effects achieved by this technical solution are as follows: by analyzing the reflected echo to extract the angle distribution and phase offset, the first feature representing the surface roughness of the bedding is extracted based on the angle distribution, the second feature representing the moisture absorption characteristics of the bedding fibers is extracted based on the phase offset, the bedding material type is determined based on the combination of the first and second features, and the corresponding material thermal characteristic parameters are obtained by matching from a preset material parameter database.

[0018] In one embodiment of the present invention, evaluating the heat dissipation capacity of the second coverage area based on the temperature change rate, phase change rate, and material thermal characteristic parameters includes: determining a first weighting coefficient corresponding to the temperature change rate and a second weighting coefficient corresponding to the phase change rate based on the material thermal characteristic parameters; weighting the temperature change rate according to the first weighting coefficient to obtain a weighted temperature change rate; weighting the phase change rate according to the second weighting coefficient to obtain a weighted phase change rate; and calculating the heat dissipation capacity index of the second coverage area based on the weighted temperature change rate and the weighted phase change rate.

[0019] Compared with existing technologies, the technical effects achieved by this solution are as follows: Based on the acquisition of material thermal characteristic parameters, a first weighting coefficient corresponding to the temperature change rate and a second weighting coefficient corresponding to the phase change rate are determined according to the material thermal characteristic parameters; the values ​​of the two weighting coefficients are different for different materials: the temperature change rate has a greater weight for materials with high thermal conductivity, and the phase change rate has a greater weight for materials with high moisture regain; after weighting, the heat dissipation capacity index is calculated, so that the calculation of the heat dissipation capacity index can adaptively allocate the respective proportions according to different materials.

[0020] In one embodiment of the present invention, the calculation of the heat dissipation capacity index of the second coverage area based on the weighted temperature change rate and the weighted phase change rate further includes: obtaining the current ambient temperature and ambient humidity of the target location; determining an environmental correction coefficient based on the current ambient temperature and ambient humidity; and calculating the corrected comprehensive heat dissipation index of the second coverage area based on the heat dissipation capacity index and the environmental correction coefficient.

[0021] Compared with existing technologies, the technical effects achieved by this technical solution are as follows: based on the calculated heat dissipation capacity index, the current ambient temperature and humidity are further obtained, and an environmental correction coefficient is determined based on the combination of ambient temperature and humidity; the comprehensive heat dissipation index is calculated and corrected based on the heat dissipation capacity index and the environmental correction coefficient, so that the corrected heat dissipation index can reflect the heat dissipation performance of the bedding material itself.

[0022] In one embodiment of the present invention, determining the air outlet response level based on the temperature difference and heat dissipation capacity includes: dividing the response level range; determining the temperature difference contribution value based on the corrected temperature difference, and determining the heat dissipation contribution value based on the corrected comprehensive heat dissipation index; calculating the comprehensive response index based on the temperature difference contribution value and the heat dissipation contribution value; and determining the air outlet response level based on the response level range in which the comprehensive response index is located.

[0023] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: by pre-dividing multiple response level intervals, the temperature difference contribution value is determined based on the corrected temperature difference, the heat dissipation contribution value is determined based on the corrected comprehensive heat dissipation index, the two are weighted and integrated to calculate the comprehensive response index, and the air outlet response level is determined based on the response level interval in which the comprehensive response index is located.

[0024] In one embodiment of the present invention, an air conditioner is also provided, which can implement the control method of any of the above claims. The air conditioner includes: a temperature detection unit for acquiring the temperature distribution at a target location; a signal transceiver unit for transmitting an induction wave to the target location and receiving the reflected echo; and a processing unit configured to: determine the area where the target object is located at the target location based on the temperature distribution, and record it as a first coverage area; monitor the action of the target object and record the time of the action as the start time of the action; at the start time of the action, acquire the area outside the first coverage area and the target location excluding the first coverage area. The temperature difference between the first and second covered areas; within a preset time window after the start of the action, the temperature change rate of the second covered area after the target object's action is acquired, as well as the phase change rate of the reflected echo from the second covered area; the material type of the bedding at the target location is identified based on the reflected echo, and the material thermal characteristic parameters are acquired based on the material type; the heat dissipation capacity of the second covered area is evaluated based on the temperature change rate, phase change rate, and material thermal characteristic parameters; the air outlet response level is determined based on the temperature difference and heat dissipation capacity; an execution unit is used to control the air conditioner to perform air outlet adjustment operations based on the air outlet response level.

[0025] Compared with existing technologies, the technical effects achieved by adopting this technical solution are: it can achieve the technical effects in any of the above examples, which will not be elaborated here.

[0026] By adopting the technical solution of the present invention, the following technical effects can be achieved: (1) By acquiring the temperature distribution at the target location and transmitting induction waves to the target location and receiving reflected echoes, the temperature difference between the first covered area and the empty area outside the covered area is acquired before the turning action occurs, so as to acquire the degree of heat accumulation at the bedding interface; after the turning action occurs, the temperature change rate of the newly covered second covered area is acquired, so as to acquire the speed of human body conduction to the bedding, and at the same time, the phase change rate of the reflected echo in this area is acquired, so as to acquire the speed of change of dielectric properties of bedding fibers due to sweat absorption; further, the bedding material type is identified based on the reflected echo and the material thermal characteristic parameters are acquired; by combining the above four types of information, namely temperature difference, temperature change rate, phase change rate and material thermal characteristic parameters, the comprehensive heat dissipation capacity of the bedding interface is evaluated, and the air outlet response level is determined and the adjustment operation is performed, so as to realize the adaptive control of the air conditioner according to the user's actual thermal comfort state and the bedding material characteristics; (2) By updating the temperature distribution from the start of the action and tracking the second coverage area covered by the target object after the action, the third temperature time series of the area is continuously acquired at the second preset sampling frequency within the preset time window, and the temperature change rate is calculated based on the series to truly reflect the process of heat being conducted from the target object to the bedding. (3) Based on the obtained material thermal characteristic parameters, determine the first weighting coefficient corresponding to the temperature change rate and the second weighting coefficient corresponding to the phase change rate according to the material thermal characteristic parameters. The values ​​of the two weighting coefficients are different for different materials: the temperature change rate of the material with high thermal conductivity has a greater weight, and the phase change rate of the material with high moisture regain has a greater weight. After weighting, the heat dissipation capacity index is calculated so that the heat dissipation capacity index can be calculated according to the adaptive allocation of the proportions of different materials. Attached Figure Description

[0027] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Figure 1 A flowchart of a control method for an air conditioner provided in an embodiment of the present invention. Detailed Implementation

[0028] Embodiments of the present invention will now be described in detail. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0029] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a link, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0030] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0031] See Figure 1 , Figure 1 A flowchart of an air conditioner control method provided in this embodiment of the invention; specifically, an air conditioner control method includes: S1: Obtain the temperature distribution at the target location, and emit induction waves to the target location and receive the reflected echoes; S2: Based on the temperature distribution, determine the area where the target object is located at the target position, and record it as the first coverage area; S3: Monitor the action of the target object and record the moment of the target object's action as the start time of the action; S4: At the start of the action, obtain the temperature difference between the first covered area and the first empty area of ​​the target location other than the first covered area; S5: Within a preset time window after the start of the action, obtain the temperature change rate of the second coverage area covered by the target object after the action, and obtain the phase change rate of the reflected echo fed back from the second coverage area. S6: Identify the material type of the bedding at the target location based on the reflected echo, and obtain the material thermal characteristic parameters based on the material type; S7: Evaluate the heat dissipation capacity of the second coverage area based on the temperature change rate, phase change rate, and material thermal property parameters; S8: Determine the airflow response level based on the temperature difference and heat dissipation capacity; S9: Control the air conditioner to perform air outlet adjustment operation according to the air outlet response level.

[0032] The target location is the location of the bed; The actions include: rolling over.

[0033] Specifically, the target location is scanned using an area array to obtain temperature data for each pixel at the target location, thus forming a temperature distribution. Then, an induction wave is emitted towards the target location and the echo is received. Simultaneously, an induction wave is emitted towards the target location and the reflected echo is received. Since the temperature of the target object is usually higher than that of the surrounding environment and bedding, the area where the target object is located is determined based on the temperature values ​​of each pixel in the temperature distribution, and this area is recorded as the first coverage area. The movement of the target object is monitored based on the reflected echo, and when the target object is detected to be turning over, the start time of the movement is recorded.

[0034] Furthermore, at the start of the target object's action, the average temperature of all pixels in the first coverage area and the average temperature of all pixels in the first idle area are calculated based on the temperature distribution. The difference between the average temperature of the first coverage area and the average temperature of the first idle area is taken as the temperature difference. Within a preset time window after the start of the action, the second coverage area covered by the target object after turning over is further tracked by updating the temperature distribution, and the temperature data of the second coverage area is continuously acquired at a second preset sampling frequency, and the temperature change rate is calculated. At the same time, based on the spatial position of the second coverage area in the target location, the emission direction of the induction wave is adjusted according to the spatial position covered by the second coverage area, so that the induction wave is directionally sent to the second coverage area, and the reflected echo fed back by the second coverage area is received. Phase data is collected at a third preset sampling frequency within the preset time window, and the phase change rate is calculated after generating a phase time series.

[0035] Furthermore, the reflected echoes are analyzed to extract their angular distribution and phase shift; the material type of the bedding and its corresponding thermal properties are determined; then, the temperature difference contribution value is determined based on the temperature difference, and the heat dissipation contribution value is determined based on the heat dissipation capacity. The two are then combined to calculate the comprehensive response index. Based on the comprehensive response index, the corresponding air outlet response level is determined, and the air conditioner is controlled to perform the corresponding air outlet adjustment operation.

[0036] Furthermore, prior to the start of the action, the control methods include: Within a preset monitoring period, the first temperature time series of the first coverage area and the second temperature time series of the first idle area are continuously acquired at a first preset sampling frequency. A temperature difference time series is generated based on the difference between the first temperature time series and the second temperature time series at each sampling time. The temperature change trend before the start of the action is determined based on the temperature difference time series.

[0037] Specifically, the preset monitoring period is the preset duration before the target object is turned over; within the preset monitoring period, the first temperature time series of the first covered area and the second temperature time series of the first idle area are continuously acquired at the first preset sampling frequency; for each sampling moment, the difference between the temperature value of the first covered area and the temperature value of the first idle area at that moment is calculated to obtain the temperature difference value at that moment, and the temperature difference values ​​of all sampling moments are arranged in chronological order to obtain the temperature difference time series; based on the change of the temperature difference value over time in the temperature difference time series, the temperature change trend before the start of the action is determined: if the temperature difference value of the later sampling moment in the temperature difference time series continuously increases compared to the temperature difference value of the previous sampling moment, the temperature change trend is determined to be continuously rising, indicating that the heat accumulation continues to worsen before the start of the action; if the temperature difference value continuously decreases or remains basically unchanged, the temperature change trend is determined to be continuously decreasing or tending to stabilize, indicating that the heat accumulation does not continue to worsen before the start of the action.

[0038] Furthermore, obtaining the temperature difference between the first coverage area and the first vacant area of ​​the target location excluding the first coverage area includes: Obtain the instantaneous temperature difference at the start of the action; Determine the cumulative change before the start of the action based on the temperature difference time series; The correction factor is determined based on the instantaneous temperature difference and the cumulative change. The instantaneous temperature difference is corrected using a correction factor to obtain the corrected temperature difference; The air supply response level is determined based on the corrected temperature difference.

[0039] Specifically, at the moment the target object rolls over, the temperature difference between the first covered area and the first unoccupied area is calculated as the instantaneous temperature difference to reflect the degree of heat accumulation at the start of the action. Then, based on the temperature difference time series, the cumulative change of the target object from the start of the monitoring period to the start of the action is determined. When the cumulative change is positive and the absolute value is large, it indicates that the heat accumulation has continued to worsen before the start of the action. When the cumulative change is negative or the absolute value is small, it indicates that the heat accumulation has eased or not changed significantly before the start of the action. That is, the cumulative change reflects the evolution of heat accumulation, and then the instantaneous temperature difference is corrected.

[0040] Furthermore, the correction factor is a comprehensive result of the instantaneous temperature difference and the cumulative change; that is, when the cumulative change is positive and the absolute value is large, the correction factor increases accordingly; when the cumulative change is negative or the absolute value is small, the correction factor decreases accordingly or remains unchanged. Since the correction factor incorporates the cumulative change, the corrected temperature difference reflects both the current degree and the process of heat accumulation, and can reflect the true state of heat accumulation. Finally, the larger the corrected temperature difference, the more severe the heat accumulation, and the higher the corresponding air outlet response level, thus determining the air outlet response level.

[0041] Furthermore, the temperature change rate of the second coverage area after the target object's action is obtained, including: From the moment the action begins, update the temperature distribution and track the second coverage area covered by the target object after the action; Within a preset time window, the third temperature time series of the second coverage area is continuously acquired at a second preset sampling frequency; Based on the third temperature time series, calculate the rate of temperature change of the second covered area within a preset time window.

[0042] Specifically, at the start of the action, the target object begins to move from the first coverage area to a new position; the processing unit continuously acquires the temperature distribution of the target position through the temperature detection unit, tracks the movement trajectory of the target object based on the positional changes of the high-temperature area in the temperature distribution, and identifies the area where the new position is located as the second coverage area after the target object stabilizes in the new position; the second coverage area is different from the first coverage area before the rollover, and is the new area where the target object is located after the rollover action ends.

[0043] Furthermore, within a preset time window, the processing unit continuously acquires the third temperature time series of the second coverage area at a second preset sampling frequency; the third temperature time series records the temperature value of the second coverage area at each sampling moment within the preset time window, reflecting the temperature change process of the newly covered area under the body heat of the target object after the turning action occurs.

[0044] Furthermore, the temperature change rate is calculated as the ratio of the temperature difference between the last sampling moment and the first sampling moment in the third temperature time series to the preset time window duration. The temperature change rate reflects how quickly heat is conducted from the target object to the bedding interface and is a performance indicator of the bedding's thermal conductivity: the larger the temperature change rate, the better the bedding's thermal conductivity; that is, the easier it is for heat to be conducted from the human body to the bedding interface, which helps to reduce the temperature accumulation between the human body and the bedding interface.

[0045] Furthermore, the phase change rate of the reflected echo from the second coverage area is obtained, including: From the moment the action begins, locate the spatial position of the second coverage area within the target location; Based on the spatial location, the emission direction of the induction wave is adjusted so that the induction wave is directionally sent to the second coverage area; The system receives reflected echoes from the second coverage area and collects phase data of the reflected echoes at a third preset sampling frequency within a preset time window to generate a phase time series. The phase time series is processed to obtain the phase value at each sampling time in the phase time series; The phase change rate of the second coverage area is calculated based on the phase value at each sampling time.

[0046] Specifically, based on the new location of the target object in the temperature distribution, the coordinate range of the second coverage area in the target location is determined; then, the direction of the induced wave is changed by the control signal transceiver unit so that the induced wave is directed towards the second coverage area, so as to ensure that the collected reflected echoes mainly come from the second coverage area rather than other areas of the target location, so that the measurement object of the phase change rate is consistent with the measurement object of the temperature change rate; the processing unit receives the reflected echoes fed back from the second coverage area and collects the phase data of the reflected echoes at a third preset sampling frequency within a preset time window to generate a phase time series.

[0047] Furthermore, the phase time series is filtered to remove high-frequency noise and environmental interference, making the phase change trend clearer. Then, based on the phase value at each sampling time, the phase change rate of the second coverage area is calculated, that is, the speed at which the phase changes with time within the preset time window is analyzed. The faster the phase changes, the stronger the moisture absorption and wicking capacity of the bedding.

[0048] Furthermore, the material type of the bedding at the target location is identified based on the reflected echo, and the material's thermal properties are obtained based on the material type, including: Analyze the reflected echo to extract its angular distribution and phase shift. Based on the angular distribution, a first feature of the bedding surface is extracted; the first feature represents the roughness of the bedding surface. Based on the phase shift, a second feature of the bedding fibers is extracted; the second feature is used to represent the moisture absorption properties of the bedding fibers. Based on the first and second characteristics, determine the material type of the bedding; Based on the material type, the corresponding material thermal property parameters are matched and obtained from the preset material parameter database.

[0049] Specifically, the processing unit analyzes the reflected echoes, extracting their angular distribution and phase shift. After the induced wave is emitted to the bedding surface, the angular distribution of the echo depends on the microstructure of the bedding surface: when the bedding surface fibers are rough, the induced wave undergoes diffuse scattering, and the reflected echoes are dispersed at various angles; when the bedding surface is smooth, the energy of the reflected echoes is concentrated in the specular reflection direction, thus extracting the first feature characterizing the roughness of the bedding surface. During sleep, the human body continuously emits heat and moisture, and the bedding fibers absorb moisture, causing changes in their own state. These changes affect the phase of the reflected echoes: fibers with good moisture absorption experience larger phase changes in the reflected echoes after absorbing moisture; fibers with poor moisture absorption experience minimal phase changes in the reflected echoes, thus extracting the second feature characterizing the moisture absorption properties of the bedding fibers.

[0050] Furthermore, the first characteristic is roughness, and the second characteristic is moisture absorption. The combination of the two can distinguish at least four different types of materials: for example, when the first characteristic represents roughness and the second characteristic represents hydrophilicity, it is identified as linen or coarse cotton; when the first characteristic represents smoothness and the second characteristic represents hydrophilicity, it is identified as silk; when the first characteristic represents smoothness and the second characteristic represents hydrophobicity, it is identified as polyester satin; and when the first characteristic represents roughness and the second characteristic represents hydrophobicity, it is identified as brushed polyester or synthetic fiber.

[0051] Furthermore, the processing unit matches and obtains the corresponding material thermal characteristic parameters from the preset material parameter database according to the material type; the material thermal characteristic parameters include, but are not limited to: thermal conductivity, thermal diffusivity, and moisture regain; therefore, the preset material parameter database stores the above parameters in association with the material type, and the processing unit matches and obtains the corresponding material thermal characteristic parameters after identifying the material type.

[0052] Furthermore, the heat dissipation capacity of the second coverage area is evaluated based on the temperature change rate, phase change rate, and material thermal property parameters, including: Based on the material's thermal properties, determine the first weighting coefficient corresponding to the rate of temperature change and the second weighting coefficient corresponding to the rate of phase change, respectively. The temperature change rate is weighted according to the first weighting coefficient to obtain the weighted temperature change rate. The phase change rate is weighted according to the second weighting coefficient to obtain the weighted phase change rate. The heat dissipation capacity index of the second coverage area is calculated based on the weighted temperature change rate and the weighted phase change rate.

[0053] Specifically, different bedding materials have different strengths in terms of thermal conductivity and moisture absorption. For materials with good thermal conductivity, the rate of temperature change better reflects the bedding's ability to dissipate heat, therefore, the weighting coefficient corresponding to the rate of temperature change is larger. For materials with good moisture absorption, the rate of phase change better reflects the bedding's ability to dissipate moisture, therefore, the weighting coefficient corresponding to the rate of phase change is larger. The processing unit determines the first weighting coefficient corresponding to the rate of temperature change and the second weighting coefficient corresponding to the rate of phase change based on the material's thermal characteristic parameters.

[0054] Furthermore, the processing unit multiplies the first weighting coefficient by the temperature change rate to obtain the weighted temperature change rate; and multiplies the second weighting coefficient by the phase change rate to obtain the weighted phase change rate. The larger the weighted temperature change rate, the greater the contribution of thermal conductivity to heat dissipation; the larger the weighted phase change rate, the greater the contribution of dehumidification to heat dissipation.

[0055] Furthermore, the processing unit adds the weighted temperature change rate and the weighted phase change rate to obtain the heat dissipation capacity index of the second coverage area; that is, the heat dissipation capacity index integrates the performance of both thermal conductivity and moisture removal; where thermal conductivity comes from the temperature change rate and moisture removal comes from the phase change rate, and the two are multiplied by their respective weighting coefficients and then combined into a single value. The larger this value is, the stronger the overall heat dissipation capacity of the bedding interface.

[0056] Furthermore, the calculation of the heat dissipation capacity index of the second coverage area based on the weighted temperature change rate and the weighted phase change rate also includes: Obtain the current ambient temperature and humidity at the target location; Determine the environmental correction factor based on the current ambient temperature and humidity; The corrected comprehensive heat dissipation index for the second coverage area is calculated based on the heat dissipation capacity index and the environmental correction factor.

[0057] Specifically, the current ambient temperature and humidity values ​​need to be obtained. Since ambient temperature and humidity affect the state of the bedding fibers themselves, relying solely on the previously calculated heat dissipation index to assess the actual heat dissipation capacity of the bedding is not accurate enough. The current ambient temperature and humidity need to be taken into account. That is, based on the obtained ambient temperature and humidity, an environmental correction coefficient needs to be determined. When the ambient temperature is high and the ambient humidity is high, it means that there is already a lot of moisture in the environment, and the bedding fibers have already absorbed a certain amount of moisture. In this case, the environmental correction coefficient should be appropriately increased to compensate for the impact of the decrease in the apparent moisture wicking capacity of the bedding caused by the ambient humidity. When the ambient temperature is low and the ambient humidity is low, it means that there is less moisture in the environment, and the bedding fibers are relatively dry. In this case, the environmental correction coefficient should be appropriately decreased to eliminate the impact of the increased apparent moisture wicking capacity of the bedding caused by the dry environment.

[0058] Furthermore, the heat dissipation capacity index is multiplied by the environmental correction factor to obtain the corrected comprehensive heat dissipation index for the second coverage area.

[0059] Furthermore, based on the temperature difference and heat dissipation capacity, the airflow response level is determined, including: Divide the response level range; The temperature difference contribution value is determined based on the corrected temperature difference, and the heat dissipation contribution value is determined based on the corrected comprehensive heat dissipation index. Calculate the comprehensive response index based on the contribution values ​​of temperature difference and heat dissipation; The air supply response level is determined based on the response level range of the comprehensive response index.

[0060] Specifically, the processing unit pre-divides the response level into multiple level ranges, with different ranges corresponding to different airflow adjustment intensities. When determining the airflow response level, the processing unit determines the temperature difference contribution value based on the corrected temperature difference. For example, the larger the corrected temperature difference, the more severe the heat accumulation at the bedding interface, and the higher the temperature difference contribution value. Simultaneously, the processing unit determines the heat dissipation contribution value based on the corrected comprehensive heat dissipation index. The larger the corrected comprehensive heat dissipation index, the stronger the ability of the bedding interface to expel heat and moisture, and the higher the heat dissipation contribution value. The processing unit adds the temperature difference contribution value and the heat dissipation contribution value to obtain the comprehensive response index. The comprehensive response index reflects the severity of the current heat accumulation and the ability of the bedding interface itself to expel heat. When the comprehensive response index falls into a certain response level range, the processing unit determines the level corresponding to that range as the current airflow response level. The higher the comprehensive response index, the more severe the current thermal discomfort of the target object, and the greater the airflow adjustment intensity required, such as switching from low airflow to high airflow, switching from avoiding airflow to tracking airflow, or further reducing the airflow temperature.

[0061] Furthermore, the present invention also provides an air conditioner capable of implementing the control method described in any of the above claims. The air conditioner includes: a temperature detection unit, a signal transceiver unit, a processing unit, and an execution unit; the temperature detection unit is used to acquire the temperature distribution at a target location; the signal transceiver unit is used to transmit an induction wave to the target location and receive the reflected echo; the processing unit is configured to: determine the area where the target object is located at the target location based on the temperature distribution, and record it as a first coverage area; monitor the action of the target object and record the moment of the target object's action as the start time of the action; at the start time of the action, acquire the first coverage area and the target location excluding the first coverage area. The temperature difference between the first free area and the target area; within a preset time window after the start of the action, the temperature change rate of the second covered area after the target object's action is obtained, as well as the phase change rate of the reflected echo from the second covered area; the material type of the bedding at the target location is identified based on the reflected echo, and the material thermal characteristic parameters are obtained based on the material type; the heat dissipation capacity of the second covered area is evaluated based on the temperature change rate, phase change rate, and material thermal characteristic parameters; the air outlet response level is determined based on the temperature difference and heat dissipation capacity; the execution unit is used to control the air conditioner to perform air outlet adjustment operations based on the air outlet response level.

[0062] Optionally, the temperature detection unit is an infrared thermoelectric array sensor, and the signal transceiver unit is a millimeter-wave radar.

[0063] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of the invention; therefore, the scope of protection of the present invention should be determined by the scope defined in the claims.

Claims

1. A control method for an air conditioner, characterized in that, include: The temperature distribution at the target location is obtained, and an induction wave is emitted toward the target location and the reflected echo is received. Based on the temperature distribution, the area where the target object is located at the target location is determined and recorded as the first coverage area; Monitor the action of the target object and record the moment of the target object's action as the start time of the action; At the start of the action, the temperature difference between the first covered area and the first empty area of ​​the target location other than the first covered area is obtained; Within a preset time window after the start of the action, the temperature change rate of the second coverage area covered by the target object after the action is obtained, and the phase change rate of the reflected echo fed back from the second coverage area is obtained. The material type of the bedding at the target location is identified based on the reflected echo, and the material thermal characteristic parameters are obtained based on the material type. The heat dissipation capacity of the second coverage area is evaluated based on the temperature change rate, the phase change rate, and the material thermal property parameters. The airflow response level is determined based on the temperature difference and the heat dissipation capacity. The air conditioner is controlled to perform air outlet adjustment operation according to the air outlet response level.

2. The control method according to claim 1, characterized in that, Prior to the start time of the action, the control method further includes: Within a preset monitoring period, the first temperature time series of the first covered area and the second temperature time series of the first idle area are continuously acquired at a first preset sampling frequency. A temperature difference time series is generated based on the difference between the first temperature time series and the second temperature time series at each sampling time. The temperature change trend before the start of the action is determined based on the temperature difference time series.

3. The control method according to claim 2, characterized in that, The step of obtaining the temperature difference between the first covered area and the first empty area of ​​the target location excluding the first covered area includes: Obtain the instantaneous temperature difference at the start of the action; The cumulative change prior to the start time of the action is determined based on the temperature difference time series. The correction factor is determined based on the instantaneous temperature difference and the cumulative change. The instantaneous temperature difference is corrected according to the correction coefficient to obtain the corrected temperature difference; The air outlet response level is determined based on the corrected temperature difference.

4. The control method according to claim 3, characterized in that, The step of obtaining the temperature change rate of the second coverage area covered by the target object after the action includes: From the start time of the action, update the temperature distribution and track the second coverage area covered by the target object after the action; Within the preset time window, the third temperature time series of the second coverage area is continuously acquired at a second preset sampling frequency; Based on the third temperature time series, the rate of temperature change of the second covered area within the preset time window is calculated.

5. The control method according to claim 4, characterized in that, The step of obtaining the phase change rate of the reflected echo from the second coverage area includes: From the start time of the action, locate the spatial position of the second coverage area within the target location; Based on the spatial location, the emission direction of the induction wave is adjusted so that the induction wave is directionally sent to the second coverage area; The reflected echo fed back from the second coverage area is received, and the phase data of the reflected echo is collected at a third preset sampling frequency within the preset time window to generate a phase time series. The phase time series is processed to obtain the phase value at each sampling time in the phase time series; The phase change rate of the second coverage area is calculated based on the phase value at each sampling time.

6. The control method according to any one of claims 3 to 5, characterized in that, The step of identifying the material type of the bedding at the target location based on the reflected echo and obtaining material thermal characteristic parameters based on the material type includes: The reflected echo is analyzed to extract its angular distribution and phase shift. Based on the angular distribution, a first feature of the bedding surface is extracted; the first feature represents the roughness of the bedding surface. Based on the phase offset, a second feature of the bedding fiber is extracted; the second feature represents the moisture absorption properties of the bedding fiber. Based on the first feature and the second feature, the material type of the bedding is determined; Based on the material type, the corresponding thermal characteristic parameters of the material are matched and obtained from the preset material parameter database.

7. The control method according to claim 6, characterized in that, The step of evaluating the heat dissipation capacity of the second coverage area based on the temperature change rate, the phase change rate, and the material thermal characteristic parameters includes: Based on the material's thermal characteristic parameters, determine the first weighting coefficient corresponding to the temperature change rate and the second weighting coefficient corresponding to the phase change rate, respectively. The temperature change rate is weighted according to the first weighting coefficient to obtain the weighted temperature change rate. The phase change rate is weighted according to the second weighting coefficient to obtain the weighted phase change rate. The heat dissipation capacity index of the second coverage area is calculated based on the weighted temperature change rate and the weighted phase change rate.

8. The control method according to claim 7, characterized in that, The step of calculating the heat dissipation capacity index of the second coverage area based on the weighted temperature change rate and the weighted phase change rate further includes: Obtain the current ambient temperature and humidity at the target location; Determine the environmental correction factor based on the current ambient temperature and the ambient humidity; The corrected comprehensive heat dissipation index of the second coverage area is calculated based on the heat dissipation capacity index and the environmental correction coefficient.

9. The control method according to claim 8, characterized in that, The step of determining the airflow response level based on the temperature difference and the heat dissipation capacity includes: Divide the response level range; The temperature difference contribution value is determined based on the corrected temperature difference, and the heat dissipation contribution value is determined based on the corrected comprehensive heat dissipation index; Calculate the comprehensive response index based on the temperature difference contribution value and the heat dissipation contribution value; The air outlet response level is determined based on the response level range in which the comprehensive response index falls.

10. An air conditioner, characterized in that, The air conditioner is capable of implementing the control method as described in any one of claims 1 to 9, and the air conditioner comprises: A temperature detection unit, used to acquire the temperature distribution at the target location; A signal transceiver unit, which is used to transmit an induction wave to the target location and receive the reflected echo; The processing unit is configured to: determine the area where the target object is located at the target position based on the temperature distribution, and record it as a first coverage area; monitor the action of the target object and record the moment of the action as the start time of the action; at the start time of the action, obtain the temperature difference between the first coverage area and a first empty area of ​​the target position excluding the first coverage area; within a preset time window after the start time of the action, obtain the temperature change rate of a second coverage area covered by the target object after its action, and obtain the phase change rate of the reflected echo fed back by the second coverage area; identify the material type of the bedding at the target position based on the reflected echo, and obtain material thermal characteristic parameters based on the material type; evaluate the heat dissipation capacity of the second coverage area based on the temperature change rate, the phase change rate, and the material thermal characteristic parameters; and determine the airflow response level based on the temperature difference and the heat dissipation capacity. An execution unit is configured to control the air conditioner to perform an air outlet adjustment operation based on the air outlet response level.

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