Control Method and Device for Home Appliance Equipment, and Home Appliance Equipment

Abstract

The present application relates to the technical field of smart home appliances, and discloses a control method for home appliance devices. The control method includes: determining a temperature change coefficient of a room according to the room attributes; obtaining the room temperature at the current moment and the room temperature at the previous moment; determining the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment; and controlling the operation of the home appliance device according to the predicted room temperature after the set duration. It can improve the adjustment effect of the room temperature and the accuracy of controlling the home appliance device. It can reduce the overshoot control of the home appliance device and improve the system energy efficiency. The present application also discloses a control device for home appliance devices and a home appliance device.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, for example, to a control method and device for home appliances, and home appliances. Background Art

[0002] Currently, when controlling the temperature in a room, most often the operation of the temperature adjustment device is controlled by the difference between the real-time temperature in the room and the set temperature. Due to the differences in the size of the room, the maintenance structure, and the non-linear nature of the temperature change itself, it is very difficult to control the temperature adjustment device simply by the temperature difference and the rate of temperature change to be applicable to all rooms. When there is a large difference between the actual room and the preset room size (such as using a high-capacity air conditioner in a small room), usually the preset air conditioner control parameters cannot adapt to the room, resulting in frequent start-stop of the air conditioner system. Compared with the system maintaining a steady-state operation, frequent start-stops will greatly increase the total energy consumption of the system. Since the room temperature control is a large-lag system, to improve the accuracy of controlling the room temperature change, it is necessary to improve the prediction of the room temperature change situation, and then adjust the frequency of the air conditioner system in advance.

[0003] In the related art, predicting the temperature of a room can be achieved by using building dynamic energy consumption simulation software through complex mathematical modeling.

[0004] In the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related art:

[0005] In actual application, since the spatial size and maintenance structure of the room are unknown, it is very difficult to perform temperature prediction through mathematical modeling. Moreover, the computing power of the control chips built into most home appliances is often limited and cannot perform complex differential and integral operations. Therefore, the accuracy of predicting the temperature change situation of the room at a future moment is low, resulting in a poor adjustment effect of the home appliance on the room temperature.

[0006] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present application, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0007] To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. The summary is not a general review, nor is it intended to identify key / important elements or delineate the protection scope of these embodiments, but rather serves as a preface to the subsequent detailed description.

[0008] The embodiments of the present disclosure provide a control method and device for home appliances, and home appliances, to improve the accuracy of predicting the temperature of a room at a future moment, thereby improving the adjustment effect of the home appliance on the room temperature.

[0009] In some embodiments, the control method for household electrical appliances includes: determining a temperature change coefficient of a room according to room attributes; obtaining the room temperature at the current moment and the room temperature at the previous moment; determining the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment; and controlling the operation of the household electrical appliances according to the predicted room temperature after the set duration.

[0010] Optionally, the room attributes include temperature change information of the room; and the determining the temperature change coefficient of the room according to room attributes includes:

[0011] obtaining the temperature change information of the room;

[0012] determining the temperature change coefficient of the room according to the temperature change information.

[0013] Optionally, the temperature change information of the room includes the room sampling temperatures of three adjacent cycles; then, the temperature change coefficient of the room is determined by the following method:

[0014]

[0015] where a is the temperature change coefficient; T n is the room sampling temperature of the nth cycle; T n-1 is the room sampling temperature of the (n - 1)th cycle; T n+1 is the room sampling temperature of the (n + 1)th cycle, and n is the number of sampling cycles.

[0016] Optionally, the determining the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment includes:

[0017] obtaining the difference between the room temperature at the current moment and the room temperature at the previous moment;

[0018] determining the temperature variable after the set duration according to the temperature change coefficient, the difference between the room temperature at the current moment and the room temperature at the previous moment, and the set duration;

[0019] taking the sum of the room temperature at the current moment and the temperature variable after the set duration as the predicted room temperature after the set duration.

[0020] Optionally, the predicted room temperature after the set duration is determined by the following method:

[0021]

[0022] Wherein, a is the temperature change coefficient, t is the set duration, T1 is the room temperature at the current moment, T0 is the room temperature at the previous moment, and T t+1 is the predicted room temperature after the set duration at the current moment.

[0023] Optionally, the control method for the household electrical appliance further includes:

[0024] Obtaining the actual temperature after the set duration;

[0025] According to the difference between the actual temperature after the set duration and the predicted temperature after the set duration, correcting the temperature change coefficient.

[0026] Optionally, the correcting the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration includes:

[0027] Determining a correction value of the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration;

[0028] Taking the difference between the temperature change coefficient and the correction value as the corrected temperature change coefficient.

[0029] In some embodiments, the control device for the household electrical appliance includes: a temperature change coefficient acquisition module configured to determine the temperature change coefficient of the room according to the room attributes; a room temperature acquisition module configured to obtain the room temperature at the current moment and the room temperature at the previous moment; a room temperature prediction module configured to determine the predicted room temperature after the set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment; and a control module configured to control the operation of the household electrical appliance according to the predicted room temperature after the set duration.

[0030] In some embodiments, the control device for the household electrical appliance includes a processor and a memory storing program instructions, and the processor is configured to execute the above-mentioned control method for the household electrical appliance when running the program instructions.

[0031] In some embodiments, the household electrical appliance includes: an equipment body; and the above-mentioned control device for the household electrical appliance, which is installed on the equipment body.

[0032] The control method and device for the household electrical appliance and the household electrical appliance provided by the embodiments of the present disclosure can achieve the following technical effects:

[0033] Utilize the temperature change coefficient corresponding to the room attributes and the temperature information of the room to achieve the prediction of the room temperature after a set duration. Since the temperature change coefficient can more accurately reflect the actual heat change situation of the room, it can improve the accuracy of predicting the room temperature after the set duration. Furthermore, when controlling the operation of household appliances according to the prediction result, it can improve the adjustment effect of the room temperature and the accuracy of controlling household appliances. It can reduce the overshoot control of household appliances and improve the system energy efficiency.

[0034] The above general description and the following description are only exemplary and explanatory, and are not used to limit the present application. Brief Description of the Drawings

[0035] One or more embodiments are exemplarily illustrated by corresponding drawings. These exemplary illustrations and the drawings 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 scale limitation, and among them:

[0036] Figure 1 is a schematic diagram of the environment of the implementation environment of the embodiments of the present disclosure;

[0037] Figure 2 is a schematic flowchart of a control method for household appliances provided by an embodiment of the present disclosure;

[0038] Figure 3 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0039] Figure 4 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0040] Figure 5 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0041] Figure 6 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0042] Figure 7 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0043] Figure 8 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0044] Figure 9 is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure;

[0045] Figure 10 It is a schematic diagram of a control device for a household appliance provided by an embodiment of the present disclosure;

[0046] Figure 11 It is a schematic diagram of another control device for a household appliance provided by an embodiment of the present disclosure;

[0047] Figure 12 It is a schematic diagram of a household appliance provided by an embodiment of the present disclosure. Detailed implementation manners

[0048] In order to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are only for reference and illustration, and are not used to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, numerous details are provided to give a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other instances, well-known structures and devices may be shown in a simplified manner to simplify the drawings.

[0049] The terms "first", "second", etc. in the description and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so as to implement the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion.

[0050] Unless otherwise specified, the term "plurality" means two or more.

[0051] In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0052] The term "and / or" is an associative relationship describing an object, indicating that there can be three relationships. For example, A and / or B means: A or B, or, A and B these three relationships.

[0053] The term "corresponding" can refer to an associative relationship or a binding relationship. A corresponding to B means that there is an associative relationship or a binding relationship between A and B.

[0054] In the embodiments of the present disclosure, an intelligent home appliance device refers to a home appliance product formed by introducing a microprocessor, sensor technology, and network communication technology into a home appliance device, which has the characteristics of intelligent control, intelligent perception, and intelligent application. The operation process of an intelligent home appliance device often depends on the application and processing of modern technologies such as the Internet of Things, the Internet, and electronic chips. For example, an intelligent home appliance device can be connected to an electronic device to achieve remote control and management of the intelligent home appliance device by the user.

[0055] In the disclosed embodiments, a terminal device refers to an electronic device with a wireless connection function. The terminal device can be communicatively connected to the intelligent home appliance device as described above by connecting to the Internet, or can also be directly communicatively connected to the intelligent home appliance device as described above through methods such as Bluetooth and Wi-Fi. In some embodiments, the terminal device is, for example, a mobile device, a computer, or an in-vehicle device built into a hover car, etc., or any combination thereof. The mobile device can include, for example, a mobile phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, etc., or any combination thereof, where the wearable device includes, for example: a smart watch, a smart bracelet, a pedometer, etc.

[0056] Figure 1 is an environmental schematic diagram of the implementation environment of the embodiments of the present disclosure. As Figure 1 shown, the implementation environment can include a home appliance device 100, a mobile terminal 110, a router 120, and a cloud server 130.

[0057] An application program is installed on the mobile terminal 110, and the user can configure the home appliance device 100 to access the Internet through this application program to control the operation of the home appliance device. The mobile terminal 110 can also have a near-field communication function, such as an NFC (Near Field Communication) function, and can perform data exchange with the home appliance device 100 when they are close to each other. The mobile terminal 110 can be various electronic devices that support information input, such as a smart phone, a tablet computer, etc.

[0058] The home appliance device 100 can include a WIFI (Wireless Fidelity) module and / or an NFC module. Among them, the WIFI module is a transmission conversion product, and the WIFI module can be used to establish a connection with the Internet to indirectly establish a connection with the mobile terminal 110; the NFC module is a near-field communication product, and the NFC module can be used to perform near-field data transmission with the mobile terminal 110. The WIFI module and the NFC module are integrated on the same module, and the module program can obtain information such as the connection status of the WIFI module with the router 120 and notify the mobile terminal 110 through the NFC module. The home appliance device 100 can be an intelligent home appliance device such as an air conditioner, an electric heater, an electric warming furnace, a smart fan, etc., which has an air conditioning function and integrates a WIFI module and / or an NFC module at the same time.

[0059] The router 120 is a device that connects local area networks and wide area networks in the Internet. It will automatically select and set the route according to the channel conditions, and send signals in the best path in the order of front and back. The home appliance device 100 can establish a communication connection with the cloud server 130 through the router 120.

[0060] The cloud server 130 can be a single server, a server cluster composed of several servers, or a cloud computing service center. The embodiments of the present disclosure do not limit this.

[0061] It should be understood that Figure 1 the numbers of the mobile terminal, home appliance device, router, and cloud server in

[0062] are merely illustrative. According to actual needs, there can be any number of mobile terminals, home appliance devices, routers, and servers. For example, one mobile terminal can correspond to multiple home appliance devices. Currently, the control schemes for most home appliance devices with air conditioning functions all use the temperature difference between the room temperature and the set temperature, as well as the change rate of the room temperature to control the operating frequency. However, the actual size of the room, the differences in maintenance structures such as walls, and the non-linear change characteristics of the room temperature change itself will all make it difficult for this control method based on the temperature difference and the change rate of temperature to be applicable to all rooms. The embodiments of the present disclosure provide a control method for home appliance devices to achieve the prediction of the room temperature after a set duration, and then perform operating control on the home appliance devices according to the prediction results to improve the adjustment effect of the room temperature.

[0063] Figure 2 is a schematic flowchart of the control method for home appliance devices provided by the embodiments of the present disclosure. The control method for home appliance devices is applied to Figure 1 the environment shown in Figure 1 and can be executed in the home appliance device shown in

[0064] or can be executed by the mobile terminal or can also be executed by the cloud server. In the embodiments of the present disclosure, the processor of the home appliance device is used as the execution subject to illustrate the solution. Figure 2 Combined with

[0065] Step S201, determining the temperature change coefficient of the room according to the room attributes.

[0066] Determine the temperature change coefficient adapted to the current room based on the room attributes. Here, the room attributes are used to represent factors related to the heat change of the room. The room attributes may include room coding, room maintenance structure information, operating information of household appliances in the room, user status information in the room, real-time room temperature information, etc. Optionally, the value range of the temperature change coefficient of the room is [0.5, 1).

[0067] Step S202: Obtain the room temperature at the current moment and the room temperature at the previous moment.

[0068] The room temperature at the current moment can be obtained through a temperature sensor in the room. The temperature sensor can be set on the controlled household appliance or on other devices that communicate with the household appliance.

[0069] The room temperature sampled in real time can be used as the room temperature at the current moment; alternatively, the average temperature of the current sampling period can be used as the room temperature at the current moment. In this embodiment, the average temperature of the current sampling period is used as the room temperature at the current moment to reduce the influence of fluctuation error on the predicted temperature.

[0070] The room temperature at a set interval duration before the current moment can be used as the room temperature at the previous moment; alternatively, the average temperature of the previous sampling period before the current sampling period can be used as the room temperature at the previous moment. The current sampling period and the previous sampling period can be consecutive sampling periods or non-consecutive sampling periods. In this embodiment, the average temperature of the previous sampling period is used as the room temperature at the previous moment to reduce the influence of fluctuation error on the predicted temperature.

[0071] Step S203: Determine the predicted room temperature after a set duration based on the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment.

[0072] Since the temperature change coefficient can more accurately reflect the actual heat change situation of the room, using the temperature change coefficient corresponding to the room attributes and the actual temperature change situation of the room to predict the room temperature after a set duration can improve the prediction accuracy.

[0073] Step S204: Control the operation of the household appliance based on the predicted room temperature after the set duration.

[0074] Using the predicted temperature after the set duration can avoid the influence of the lag characteristic of temperature change on the control of household appliances, and more accurately reflect the actual heat change in the room. Therefore, the operation plan of the household appliances controlled accordingly is more in line with the actual required operation trend. It can achieve the advance control of the operation parameters of the household appliances. When controlling the operation of the household appliances according to the prediction result, it can improve the adjustment effect of the room temperature and the accuracy of controlling the household appliances. It can reduce the overshoot control of the household appliances and improve the system energy efficiency.

[0075] When determining the temperature change coefficient of the room according to the room attributes, it can be determined by referring to the corresponding relationship between the room attributes and the temperature change coefficient of the room.

[0076] For example, the room attributes include a room code, and the corresponding relationship between the above room attributes and the temperature change coefficient can be in the form of a one-to-one correspondence data table. In this case, the corresponding relationship between the temperature change coefficient conforming to the room temperature change situation and the room code can be obtained in advance through experiments. After obtaining the current room code, the temperature change coefficient corresponding to the current room code can be obtained by querying the database.

[0077] In some embodiments, the corresponding relationship between the above room attributes and the temperature change coefficient of the room can be in the form of a formula. After obtaining the room attributes, using them as the independent variable of the formula, the corresponding dependent variable can be calculated as the temperature change coefficient of the room.

[0078] For any room, the temperature change in the room is mainly achieved through the heat of the heat source q s (such as users, heat dissipation of household appliances, etc.), the cooling capacity q of the cold source cool (the cooling capacity released by the household appliances to the room during operation, such as air conditioner refrigeration), and the heat q released by the room through the enclosure structure such as walls load . Therefore, one or more of the operation information of the household appliances in the room, the user status information in the room, and the room temperature change information in the room attributes can be used as the independent variable of the formula, and then the corresponding temperature change coefficient can be obtained.

[0079] Figure 3 FIG. is a schematic flowchart of another control method for household appliances provided by an embodiment of the present disclosure, which is used to illustrate the process of determining the temperature change coefficient when the room attributes include the temperature change information of the room. This method takes the processor of the household appliances as the execution subject to illustrate the solution.

[0080] Combined with Figure 3 shown, the control method for household appliances includes:

[0081] Step S301, obtaining the temperature change information of the room.

[0082] Step S302: Determine the temperature change coefficient of the room according to the temperature change information.

[0083] For any room, the temperature control equation in the room can be expressed as follows:

[0084]

[0085] where c p is the specific heat capacity of the air in the room, m is the mass of the air in the room, T is the temperature of the room, is the change rate of the temperature in the room; q s is the heat of the heat source in the room, q cool is the cooling capacity of the cold source in the room, q load is the heat released by the building envelope of the room.

[0086] Among them, the heat q load released by the building envelope of the room can be expressed as follows:

[0087] q load = k1A1(T - T ∞,1 ) + k2A2(T - T ∞,2 ) + … + k i A i (T - T ∞,i ) = ∑k i A i T - ∑k i A i T ∞,i

[0088] Among them, q load is the heat released by the building envelope of the room, k i is the overall heat transfer coefficient of the i-th wall of the room to the air in the room, A i is the heat transfer area corresponding to the i-th wall, T ∞,i is the temperature outside the i-th wall, and i is the number of walls.

[0089] Furthermore, the heat q load released by the building envelope of the room can be expressed as follows:

[0090] q load = kA(T - T ∞ ) (2)

[0091] Among them, q load is the heat released by the building envelope of the room, kA is the overall heat transfer coefficient of all the walls to the air in the room, T is the temperature of the room, and T ∞ is the temperature outside all the walls.

[0092] Combining equations (1) and (2) gives:

[0093]

[0094] q cnet = q cool -q s (4)

[0095] where c p is the specific heat capacity of the air in the room, m is the mass of the air in the room, T is the temperature of the room, is the rate of change of the temperature in the room; kA is the overall heat transfer coefficient from the outside of all the walls to the air in the room, q s is the heat of the heat source in the room, q cool is the cooling capacity of the cold source in the room, q cnet is the net cooling input to the room, which can be obtained by the difference between the cooling capacity of the cold source and the heat of the heat source.

[0096] Furthermore, according to the final temperature that the room can reach, it can be obtained from the relationship between the outside temperature of the room, the net cooling input to the room, and the overall heat transfer coefficient of the room. Here, it can be expressed in the following way:

[0097]

[0098] where T ∞ ′ is the final temperature that the room can reach, T ∞ is the temperature outside all the walls, kA is the overall heat transfer coefficient from the outside of all the walls to the air in the room, q cnet is the net cooling input to the room.

[0099] Substituting equation (5) into equation (3), the theoretical analysis of equation (3) can be obtained:

[0100]

[0101] where T is the temperature of the room, T0 is the initial temperature, T ∞ is the temperature outside all the walls, T ∞ ′ is the final temperature that the room can reach; e is the natural constant, c p is the specific heat capacity of the air in the room, m is the mass of the air in the room, T is the temperature of the room, is the rate of change of the temperature in the room; kA is the overall heat transfer coefficient from the outside of all the walls to the air in the room, τ is the time taken to reach the final temperature. Among them, the initial temperature T0 refers to the temperature at the initial stage of the temperature prediction process, that is, the temperature of the room corresponding to the moment when the temperature prediction starts.

[0102] The temperature change coefficient a of the room can be obtained from Equation (6) and is expressed as follows:

[0103]

[0104] where c p is the specific heat capacity of the air in the room, m is the mass of the air in the room, T is the temperature of the room, is the rate of change of the temperature in the room; kA is the combined heat transfer coefficient of all the external walls to the air in the room, Δτ is the sampling time, and e is the natural constant.

[0105] It can be seen from this that the temperature coefficient a of the room is related to the combined heat transfer coefficient of the room envelope structure, the size of the room space (represented by the mass of the air in the room), and the sampling time. Since the size of the room and the maintenance structure for each air conditioner installation are different, the temperature change coefficient of the room is not a constant for each room but varies. Thus, the corresponding temperature change coefficient is determined based on the temperature change information of the room.

[0106] Furthermore, when the household electrical appliances in the room are operating stably, the heat change can be represented by the sampled temperatures at different times.

[0107] Optionally, the temperature change information of the room includes the sampled room temperatures of three adjacent cycles; then, the temperature change coefficient of the room is determined as follows:

[0108]

[0109] where a is the temperature change coefficient; T n is the sampled room temperature of the nth cycle; T n-1 is the sampled room temperature of the (n - 1)th cycle; T n+1 is the sampled room temperature of the (n + 1)th cycle.

[0110] Here, the sampled room temperatures of three adjacent cycles can be determined based on the room temperature values already obtained during the operation of the household electrical appliances before predicting the room temperature. It can also be determined based on the sampled temperatures of three cycles obtained when starting to predict the room temperature.

[0111] The three adjacent cycles can be three consecutive cycles or three cycles with the same time interval.

[0112] Step S303: Obtain the room temperature at the current moment and the room temperature at the previous moment.

[0113] Step S304: Determine the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment.

[0114] Step S305: Control the operation of the household electrical appliance according to the predicted room temperature after a set time period.

[0115] Next, in combination with the above expression of the temperature change in the room, further description will be given on how to determine the predicted room temperature after a set time period.

[0116] Figure 4 It is a schematic flowchart of another control method for household electrical appliances provided by an embodiment of the present disclosure. This method takes the processor of the household electrical appliance as the execution entity to illustrate the solution.

[0117] Combined with Figure 4 as shown, this control method for household electrical appliances includes:

[0118] Step S401: Determine the temperature change coefficient of the room according to the room attributes.

[0119] Step S402: Obtain the room temperature at the current moment and the room temperature at the previous moment.

[0120] Step S403: Obtain the difference between the room temperature at the current moment and the room temperature at the previous moment.

[0121] Here, the difference between the room temperature at the current moment and the room temperature at the previous moment has a positive correlation with the predicted room temperature after a set time period; the greater the difference between the room temperature at the current moment and the room temperature at the previous moment, the faster the temperature change rate of the room, and thus the higher the predicted room temperature after a set time period.

[0122] Step S404: Determine the temperature variable after a set time period according to the temperature change coefficient, the difference between the room temperature at the current moment and the room temperature at the previous moment, and the set time period. The temperature variable is used to represent the change amount of the room temperature during the set time period.

[0123] Step S405: Take the sum of the room temperature at the current moment and the temperature variable after a set time period as the predicted room temperature after a set time period.

[0124] In this way, it is possible to obtain the predicted temperature at the future t + 1 moment of the room based on the room temperature T1 at the current moment, the room temperature T0 at the previous moment, and the temperature change coefficient a of the room.

[0125] Specifically, the predicted room temperature after a set time period is determined in the following manner:

[0126]

[0127] where a is the temperature change coefficient, t is the set time period, T1 is the room temperature at the current moment, T0 is the room temperature at the previous moment, T t+1The predicted temperature of the room after a set duration at the current moment.

[0128] Step S406: Control the operation of the household electrical appliance according to the predicted temperature of the room after the set duration.

[0129] Thus, by using the control method for household electrical appliances provided in this embodiment of the present disclosure, and utilizing the temperature change coefficient corresponding to the room attributes and the temperature information of the room, the temperature of the room after a set duration is predicted. Since the temperature change coefficient can more accurately reflect the actual heat change situation of the room, the accuracy of predicting the room temperature after the set duration can be improved. Furthermore, when controlling the operation of the household electrical appliance according to the prediction result, the adjustment effect on the room temperature can be improved, and the accuracy of controlling the household electrical appliance can be enhanced. It is possible to reduce the overshoot control of the household electrical appliance and improve the system energy efficiency.

[0130] In practical applications, since the temperature change of the room usually varies little within one sampling period, for example, between 0 - 0.5 degrees. And the sensitivity of the temperature sensor is relatively limited, mostly between 0.1 - 0.3. Therefore, when directly using the room temperature change coefficient obtained in the above embodiment for temperature control, there may be a large error in the predicted room temperature. Therefore, it is necessary to correct the temperature change coefficient according to the temperature change situation to improve the accuracy of temperature prediction.

[0131] Figure 5 It is a schematic flowchart of another control method for household electrical appliances provided in the embodiment of the present disclosure. This method takes the processor of the household electrical appliance as the execution subject to illustrate the solution.

[0132] Combined with Figure 5 As shown, this control method for household electrical appliances includes:

[0133] Step S501: Determine the temperature change coefficient of the room according to the room attributes.

[0134] Step S502: Obtain the room temperature at the current moment and the room temperature at the previous moment.

[0135] Step S503: Determine the predicted temperature of the room after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment.

[0136] Step S504: Control the operation of the household electrical appliance according to the predicted temperature of the room after the set duration.

[0137] Step S505: Obtain the actual temperature after the set duration.

[0138] Step S506: Correct the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration.

[0139] Here, by obtaining the actual temperature after a set duration, and then correcting the temperature change coefficient according to the difference between the actual temperature and the predicted temperature, the self-learning adjustment of the temperature change coefficient is realized, thereby improving the accuracy of the temperature prediction after the set duration for the room. For example, through machine learning methods, the temperature change coefficient can be trained based on the obtained difference to correct the temperature change coefficient and improve the accuracy of the temperature prediction.

[0140] Optionally, correcting the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration includes:

[0141] Determining the correction value of the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration;

[0142] Taking the difference between the temperature change coefficient and the correction value as the corrected temperature change coefficient.

[0143] Among them, the difference between the actual temperature after the set duration and the predicted temperature after the set duration has a positive correlation with the correction value. The larger the difference between the actual temperature after the set duration and the predicted temperature after the set duration, the greater the difference between the predicted temperature determined by the temperature change coefficient and the actual temperature, and thus the greater the correction value of the temperature change coefficient.

[0144] Here, the corrected temperature change coefficient can be expressed in the following way:

[0145] a′ = a - Δa

[0146] Among them, a’ is the corrected temperature change coefficient, a is the temperature change coefficient to be corrected, and △a is the correction value.

[0147] Specifically, the correction value △a can be obtained in the following way:

[0148]

[0149] Among them, △a is the correction value, m is a linear correction coefficient greater than 0, T t+1 is the predicted temperature of the room after the set duration at the current moment, T t+1,p is the actual temperature of the room after the set duration at the current moment. Optionally, the value range of the linear correction coefficient m is [1, 10].

[0150] After the value of the corrected temperature change coefficient a is stable, the correction learning of the temperature change coefficient is ended. The stability of the value of the temperature change coefficient a is reflected in that the floating range between the temperature change coefficients a after continuous n corrections is [0, 0.03), where n ≥ 2.

[0151] In this way, after correcting the temperature change coefficient a of the room by means of self-learning, the accuracy of predicting the room temperature at a future moment under the current cooling capacity output and heat change conditions of the cold source through the above-mentioned embodiments is improved.

[0152] After obtaining the predicted room temperature after the above-mentioned set duration, it is necessary to adjust and control the household electrical appliances according to the predicted room temperature and the set temperature of the room. Taking the air conditioner as the controlled household electrical appliance below, the solution will be described.

[0153] Figure 6 It is a schematic flowchart of a control method for a household electrical appliance provided by an embodiment of the present disclosure. Among them, the household electrical appliance is an air conditioner, which can be a wall-mounted air conditioner, a cabinet air conditioner, a multi-connected air conditioner, etc. This method takes the processor of the air conditioner as the execution subject to describe the solution.

[0154] Combined with Figure 6 As shown, the control method for the household electrical appliance includes:

[0155] Step S601, determine the temperature change coefficient of the room according to the room attributes.

[0156] Step S602, obtain the room temperature at the current moment and the room temperature at the previous moment.

[0157] Step S603, determine the predicted room temperature after the set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment.

[0158] Step S604, determine the operating frequency of the air conditioner according to the temperature difference between the predicted room temperature after the set duration and the set room temperature.

[0159] Step S605, control the air conditioner to operate at the operating frequency.

[0160] Compared with controlling the operation of the air conditioner according to the temperature difference between the room temperature at the current moment and the set room temperature in the prior art, using the predicted temperature after the set duration can avoid the influence of the lag characteristic of temperature change on the control of the air conditioner, and more accurately reflect the actual heat change situation of the room. Therefore, the operating frequency of the air conditioner determined accordingly is more in line with the actual operating trend. It can realize the advance control of the operating frequency of the air conditioner, improve the accuracy of the control of the air conditioner operation, reduce the adjustment frequency of the operating parameters during the operation of the air conditioner, can reduce the overshoot control of the household electrical appliance, and improve the system energy efficiency.

[0161] When determining the operating frequency of the air conditioner according to the temperature difference between the predicted room temperature after the set duration and the set room temperature, it can be determined through the corresponding relationship between the temperature difference and the operating frequency.

[0162] For example, the correspondence between the above temperature difference and the operating frequency may be in the form of a one-to-one data table. In this case, the correspondence between the temperature difference and the operating frequency that conforms to the room temperature change can be obtained in advance through experiments. After obtaining the current temperature difference, the air conditioner operating frequency corresponding to the current temperature difference can be obtained by querying the database.

[0163] In some embodiments, the correspondence between the above temperature difference and the operating frequency may be in the form of a formula. After obtaining the temperature difference, taking it as the independent variable of the formula, the corresponding dependent variable can be calculated as the operating frequency of the air conditioner.

[0164] Figure 7 It is a schematic flowchart of another control method for home appliances provided by an embodiment of the present disclosure. Among them, the home appliance is an air conditioner, which can be a wall-mounted air conditioner, a cabinet air conditioner, a multi-connected air conditioner, etc., and is used to illustrate the process of how to determine the operating frequency. This method takes the processor of the air conditioner as the execution subject to illustrate the solution.

[0165] Combined with Figure 7 As shown, the control method for home appliances includes:

[0166] Step S701, determine the temperature change coefficient of the room according to the room attributes.

[0167] Step S702, obtain the room temperature at the current moment and the room temperature at the previous moment.

[0168] Step S703, determine the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment.

[0169] Step S704, determine the frequency influence factor of the air conditioner according to the temperature difference between the predicted room temperature after the set duration and the set room temperature.

[0170] Optionally, the temperature difference between the predicted room temperature after the set duration and the set room temperature is positively correlated with the frequency influence factor. The greater the temperature difference between the predicted room temperature and the set room temperature, the higher the demand for adjusting the operating parameters of the air conditioner, so the value of the frequency influence factor is greater.

[0171] Specifically, the frequency influence factor is obtained in the following manner:

[0172] M = S + k f ×(T t+1 - T set )

[0173] Where M is the frequency influence factor, T t+1 is the predicted room temperature after the set duration t at the current moment, Tset To set the room temperature, S is the adjustment parameter, and k f is the load conversion factor of the air conditioner.

[0174] Here, S is a real number greater than 0, and the value range of S is (0, 3]. In this embodiment, the value of S is set to 1.

[0175] Furthermore, the value of k f is related to the operating state of the air conditioner.

[0176] Determine the value of the load conversion factor according to the operating state of the air conditioner;

[0177] When the operating state of the air conditioner is the cooling state, the load conversion factor k f > 0; here, the cooling state may include the air conditioner operating in the cooling and dehumidifying modes. When k f > 0, its value range is [0.02, 0.2].

[0178] When the operating state of the air conditioner is the heating state, the load conversion factor k f < 0. When k f < 0, its value range is [-0.2, -0.02].

[0179] Step S705, obtain the current operating frequency of the air conditioner.

[0180] Step S706, use the product of the frequency influence factor and the current operating frequency as the operating frequency of the air conditioner.

[0181] That is, the operating frequency of the air conditioner can be expressed in the following way:

[0182] f = M × f0 = (S + k f × (T t+1 - T set )) × f0

[0183] where f is the operating frequency of the air conditioner, f0 is the current operating frequency of the air conditioner, M is the frequency influence factor, and T t+1 is the predicted room temperature after the set duration t at the current moment, T set is the set room temperature, S is the adjustment parameter, and k f is the load conversion factor of the air conditioner.

[0184] Step S707, control the air conditioner to operate according to the operating frequency.

[0185] In this way, by using the difference between the predicted temperature after the set time period and the set room temperature, the control of the air conditioner operation frequency is achieved. Using the predicted temperature after the set time period can avoid the influence of the lag characteristic of temperature change on the air conditioner control and more accurately reflect the actual heat change situation of the room. Therefore, the determined air conditioner operation frequency conforms more to the actual operation trend. It can achieve the advance control of the air conditioner operation frequency, improve the accuracy of the air conditioner operation control, reduce the adjustment frequency of the operation parameters during the air conditioner operation, reduce the overshoot control of the household electrical appliances, and improve the system energy efficiency.

[0186] For a multi-connected air conditioner, since it has multiple indoor units, the control of the air conditioner operation frequency needs to meet the requirements of the rooms corresponding to the multiple indoor units. The adjustment of the air conditioner operation frequency is achieved through the frequency adjustment of the compressor. Generally, a common multi-connected air conditioner has one outdoor unit corresponding to multiple indoor units, that is, it only has one compressor. Therefore, for a multi-connected air conditioner, when controlling the air conditioner according to the preset temperature, the situations of the rooms corresponding to each indoor unit need to be considered.

[0187] Figure 8 It is a schematic flowchart of another control method for household electrical appliances provided by an embodiment of the present disclosure.

[0188] Among them, the household electrical appliance is a multi-connected air conditioner, which is used to illustrate the process of how to determine the operation frequency. This method takes the processor of the multi-connected air conditioner as the execution subject to illustrate the solution.

[0189] Combined with Figure 8 shown, the control method for household electrical appliances includes:

[0190] Step S801: Determine the temperature change coefficient of each room according to the room attributes.

[0191] Step S802: Obtain the temperature of each room at the current moment and the temperature of each room at the previous moment.

[0192] Step S803: Determine the predicted temperature of the room corresponding to each indoor unit after the set time period according to the temperature change coefficient of each room, the room temperature at the current moment, and the room temperature at the previous moment.

[0193] Step S804: Obtain the set room temperature corresponding to each indoor unit.

[0194] Step S805: Determine the temperature difference corresponding to the indoor unit with the largest load among the temperature differences between the predicted temperature of the room corresponding to each indoor unit after the set time period and the set room temperature.

[0195] After obtaining the temperature difference between the predicted room temperature corresponding to each indoor unit and the set room temperature, pairwise numerical comparison can be performed on their absolute values, and then the temperature difference with the largest absolute value is determined as the temperature difference corresponding to the indoor unit with the largest load.

[0196] Alternatively, the maximum value function can be used to determine the temperature difference with the largest absolute value among multiple temperature differences as the temperature difference corresponding to the indoor unit with the largest load.

[0197] Exemplarily, the temperature difference corresponding to the indoor unit with the largest load is determined in the following manner.

[0198] ΔT load,max =max{|T t+1,1 -T set,1 |,|T t+1,2 -T set,2 |,…,|T t+1,i -T set,i |,…,|T t+1,n -T set,n |}

[0199] Wherein, T t+1,i is the predicted room temperature corresponding to the i-th indoor unit, T set,i is the set room temperature corresponding to the i-th indoor unit, and ΔT load,max is the temperature difference corresponding to the indoor unit with the largest load.

[0200] Step S806: Determine the operating frequency of the air conditioner according to the temperature difference corresponding to the indoor unit with the largest load.

[0201] Step S807: Control the multi-connected air conditioner to operate at the operating frequency.

[0202] Here, the determination of the operating frequency may include:

[0203] Determine the multi-connected air conditioner frequency influencing factor according to the temperature difference corresponding to the indoor unit with the largest load;

[0204] Obtain the current operating frequency of the air conditioner;

[0205] Take the product of the multi-connected air conditioner frequency influencing factor and the current operating frequency as the operating frequency of the multi-connected air conditioner.

[0206] Optionally, the temperature difference corresponding to the indoor unit with the largest load is positively correlated with the multi-connected air conditioner frequency influencing factor. The larger the temperature difference corresponding to the indoor unit with the largest load, the higher the demand for adjusting the operating parameters of the air conditioner, so the value of the multi-connected air conditioner frequency influencing factor is larger.

[0207] Specifically, the multi-connected air conditioner frequency influencing factor is obtained in the following manner:

[0208] M' = S + k f ' × ΔT load,max )

[0209] Wherein, M' is the frequency influence factor of the multi-connected air conditioner, and ΔT load,max is the temperature difference corresponding to the indoor unit with the largest load, S is the adjustment parameter, and k f ' is the load conversion factor of the multi-connected air conditioner.

[0210] When taking the value of ΔT load,max the absolute value is obtained, so the load conversion factor k f ' of the multi-connected air conditioner here is > 0, and its value range is [0.02, 0.2].

[0211] Similar to the air conditioner system with a single indoor unit, the determination of the air conditioner operation frequency can be obtained through the following method:

[0212] f = M' × f0 = (S + k f ' × ΔT load,max ) × f0

[0213] Wherein, f is the operation frequency of the air conditioner, f0 is the current operation frequency of the air conditioner, M' is the frequency influence factor of the multi-connected air conditioner, and ΔT load,max is the temperature difference corresponding to the indoor unit with the largest load, S is the adjustment parameter, and k f ' is the load conversion factor of the multi-connected air conditioner.

[0214] In this way, the advance control of the air conditioner operation frequency is realized, the accuracy of the air conditioner operation control is improved, the adjustment frequency of the operation parameters during the air conditioner operation is reduced, the overshoot control of the household electrical appliances can be reduced, and the system energy efficiency is improved.

[0215] Furthermore, since the air conditioner frequency control is carried out according to the demand of the indoor unit with the largest load, without other measures, it will inevitably cause the room temperature corresponding to some indoor units to be lower than the set temperature, thus causing some indoor units to stop running, and further causing fluctuations in the system, affecting the comfort of the system. Therefore, it is necessary to further adjust these indoor units according to the predicted room temperature.

[0216] Figure 9 It is a schematic flow chart of another control method for household electrical appliances provided by an embodiment of the present disclosure.

[0217] Wherein, the household electrical appliance is a multi-connected air conditioner. This method takes the processor of the multi-connected air conditioner as the execution subject to illustrate the solution.

[0218] Combined with Figure 9 as shown, this control method for household electrical appliances includes:

[0219] Step S901: Determine the temperature change coefficient of each room according to the room attributes.

[0220] Step S902: Obtain the temperature of each room at the current moment and the temperature of each room at the previous moment.

[0221] Step S903: Determine the predicted room temperature corresponding to each indoor unit after a set duration according to the temperature change coefficient of each room, the room temperature at the current moment, and the room temperature at the previous moment.

[0222] Step S904: Obtain the set room temperature corresponding to each indoor unit.

[0223] Step S905: Obtain the temperature difference between the predicted room temperature corresponding to each indoor unit after a set duration and the set room temperature.

[0224] Step S906: Among the temperature differences between the predicted room temperature corresponding to each indoor unit after a set duration and the set room temperature, determine the temperature difference corresponding to the indoor unit with the largest load to determine the operating frequency of the air conditioner.

[0225] Step S907: Determine the fan speed corresponding to the indoor unit according to the temperature difference between the predicted room temperature corresponding to each indoor unit after a set duration and the set room temperature.

[0226] Step S908: Control the multi-split air conditioner to operate at the operating frequency, and each indoor unit operates at the corresponding fan speed.

[0227] Generally, the temperature difference between the indoor temperature and the set temperature is linearly correlated with the change in net cooling capacity. And the cooling capacity of the air conditioner indoor unit is linearly correlated with the air volume in a relatively large range. Since the fan speed and the air volume are also linearly related, for the i-th indoor unit, the accuracy of room temperature control can be improved by adjusting the fan speed.

[0228] Here, the determination of the fan speed may include:

[0229] Determine the fan speed influence factor corresponding to each indoor unit according to the temperature difference between the predicted room temperature corresponding to each indoor unit after a set duration and the set room temperature;

[0230] Obtain the current fan speed corresponding to each indoor unit;

[0231] Take the product of the fan speed influence factor corresponding to each indoor unit and the current fan speed as the fan speed corresponding to the indoor unit.

[0232] Optionally, the temperature difference between the predicted room temperature corresponding to each indoor unit after a set duration and the set room temperature is positively correlated with the fan speed corresponding to the indoor unit.

[0233] Specifically, the fan speed corresponding to the indoor unit is obtained in the following manner:

[0234] M″ = S + k f ′ × ΔT load,i )

[0235] where M” is the fan speed influence factor, and ΔT load,i is the temperature difference between the predicted room temperature and the set room temperature corresponding to the i-th indoor unit, and k f ′ is the load conversion factor of the multi-connected air conditioner. S is a real number greater than 0, and the value range of S is (0, 3]. In this embodiment, the value of S is set to 1.

[0236] The temperature difference between the predicted room temperature and the set room temperature corresponding to the i-th indoor unit can be obtained in the following manner:

[0237] When the air conditioner operates in the cooling mode, ΔT load,i = T t+1,i - T set.i ;

[0238] When the air conditioner operates in the heating mode, ΔT load,i = T set,i - T t+1,i .

[0239] T t+1,i is the predicted room temperature corresponding to the i-th indoor unit, and T set,i is the set room temperature corresponding to the i-th indoor unit.

[0240] The load conversion factor k f ′ of the multi-connected air conditioner is greater than 0, and its value range is [0.02, 0.2].

[0241] That is, the fan speed corresponding to each indoor unit can be obtained in the following manner:

[0242] RPM i = M″ × RPM 0,i = (S + k f ′ × ΔT load,i ) × RPM 0,i

[0243] where RPM i is the fan speed of the i-th indoor unit, RPM 0,i is the current fan speed of the i-th indoor unit, M” is the fan speed influence factor, and ΔT load,i is the temperature difference between the predicted room temperature and the set room temperature corresponding to the i-th indoor unit, S is the adjustment parameter, and k f’ is the load conversion factor of the multi-connected air conditioner.

[0244] In this way, after determining the demand of the indoor unit with the largest load according to the difference between the predicted room temperature and the set room temperature after the set time duration, the operation frequency of the multi-connected air conditioner and the fan speed corresponding to each indoor unit can be controlled in advance, which can improve the accuracy of the air conditioner operation control, reduce the adjustment frequency of the operation parameters during the air conditioner operation, reduce the overshoot control of the air conditioner, and improve the system energy efficiency.

[0245] Figure 10 It is a schematic diagram of a control device for home appliances provided by an embodiment of the present disclosure. The control device for home appliances can be implemented in the form of software, hardware, or a combination of both.

[0246] Combined with Figure 10 As shown, an embodiment of the present disclosure provides a control device 1000 for home appliances, including a temperature change coefficient acquisition module 1010, a room temperature acquisition module 1020, a room temperature prediction module 1030, and a control module 1040.

[0247] The temperature change coefficient acquisition module 1010 is configured to determine the temperature change coefficient of the room according to the room attributes;

[0248] The room temperature acquisition module 1020 is configured to obtain the room temperature at the current moment and the room temperature at the previous moment;

[0249] The room temperature prediction module 1030 is configured to determine the predicted room temperature after the set time duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment;

[0250] The control module 1040 is configured to control the operation of the home appliance according to the predicted room temperature after the set time duration.

[0251] Optionally, when the home appliance is an air conditioner, the control device for home appliances further includes: an operation frequency determination module 1050, configured to determine the operation frequency of the air conditioner according to the temperature difference between the predicted room temperature after the set time duration and the set room temperature; the control module 1040 is configured to control the air conditioner to operate according to the operation frequency.

[0252] Figure 11 It is a schematic diagram of a control device for home appliances provided by an embodiment of the present disclosure. Combined with Figure 11As shown, the control device 1100 for home appliances includes a processor 1110 and a memory 1120. Optionally, the device may further include a communication interface 1130 and a bus 1140. Among them, the processor 1110, the communication interface 1130, and the memory 1120 can communicate with each other through the bus 1140. The communication interface 1130 can be used for information transmission. The processor 1110 can call the logic instructions in the memory 1120 to execute the control method for home appliances in the above embodiments.

[0253] In addition, when the logic instructions in the above-mentioned memory 1120 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0254] The memory 1120, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as the program instructions / modules corresponding to the methods in the embodiments of the present disclosure. The processor 1110 executes functional applications and data processing by running the program instructions / modules stored in the memory 1120, that is, implements the control method for home appliances in the above embodiments.

[0255] The memory 1120 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the terminal device, etc. In addition, the memory 1120 may include high-speed random access memory and may also include non-volatile memory.

[0256] Combined Figure 12 As shown, the embodiments of the present disclosure provide a home appliance 100, including: a device body, and the above-mentioned control device 1000 (1100) for home appliances. The control device 1000 (1100) for home appliances is installed on the device body. The installation relationship described here is not limited to being placed inside the device, but also includes installation connections with other components of the device, including but not limited to physical connections, electrical connections, or signal transmission connections, etc. Those skilled in the art can understand that the control device 1000 (1100) for home appliances can be adapted to a feasible product body, and thus implement other feasible embodiments.

[0257] Optionally, the home appliance 100 is an air conditioner, such as a wall-mounted air conditioner, a cabinet air conditioner, a multi-connected air conditioner, a fresh air conditioner, etc.

[0258] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, which are configured to execute the above-mentioned control method for household electrical appliances.

[0259] The above-mentioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transient computer-readable storage medium.

[0260] The technical solution of the embodiment of the present disclosure may 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 may 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 embodiment of the present disclosure. The foregoing storage medium may be a non-transient storage medium, including: a USB flash drive, 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 disc, etc., which are various media capable of storing program codes, or may be a transient storage medium.

[0261] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure, enabling those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. Embodiments only represent possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terms used in this application are only for describing embodiments and do not limit the claims. As used in the description of embodiments and claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to also include the plural forms. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations of one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" etc. mean the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups of these. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, or apparatus comprising the element. Herein, each embodiment may focus on the differences from other embodiments, and the same or similar parts among the embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method parts disclosed in the embodiments, the relevant parts may refer to the description of the method parts.

[0262] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner may depend 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 to exceed 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 systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0263] In the embodiments disclosed in this article, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units can be merely a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the couplings or direct couplings or communication connections shown or discussed between each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the various functional units can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit.

[0264] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to the embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the blocks can occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks can also occur in a different order than that disclosed in the description. 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 they can sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A control method for household electrical appliances, characterized in that, including: determining a temperature change coefficient of a room according to the room attributes; obtaining the room temperature at the current moment and the room temperature at the previous moment; determining the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment; controlling the operation of household electrical appliances according to the predicted room temperature after the set duration; wherein, the predicted room temperature after the set duration is determined by the following method: where a is the temperature change coefficient, t is the set duration, T1 is the room temperature at the current moment, T0 is the room temperature at the previous moment, and T t+1 is the predicted room temperature after the set duration at the current moment.

2. The control method according to claim 1, wherein the room attributes include temperature change information of the room; the determining the temperature change coefficient of the room according to the room attributes includes: obtaining the temperature change information of the room; determining the temperature change coefficient of the room according to the temperature change information.

3. The control method according to claim 2, characterized in that The temperature change information of the room includes the sampled room temperatures of three adjacent cycles; then, the temperature change coefficient of the room is determined by the following method: where a is the temperature change coefficient; T n is the room sampled temperature in the nth cycle; T n-1 is the room sampled temperature in the (n - 1)th cycle; T n+1 is the room sampled temperature in the (n + 1)th cycle, and n is the number of sampling cycles.

4. The control method according to claim 1, characterized in that, the determining the predicted room temperature after the set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment includes: obtaining the difference between the room temperature at the current moment and the room temperature at the previous moment; determining the temperature variable after the set duration according to the temperature change coefficient, the difference between the room temperature at the current moment and the room temperature at the previous moment, and the set duration; taking the sum of the room temperature at the current moment and the temperature variable after the set duration as the predicted room temperature after the set duration.

5. The control method according to any one of claims 1 to 4, characterized in that further including: obtaining the actual temperature after the set duration; correcting the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration.

6. The control method according to claim 5, wherein the correcting the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration includes: determining a correction value of the temperature change coefficient according to the difference between the actual temperature after the set duration and the predicted temperature after the set duration; taking the difference between the temperature change coefficient and the correction value as the corrected temperature change coefficient.

7. A control device for a household electrical appliance, characterized in that, including: a temperature change coefficient acquisition module configured to determine a temperature change coefficient of a room according to room attributes; a room temperature acquisition module configured to obtain the room temperature at the current moment and the room temperature at the previous moment; a room temperature prediction module configured to determine the predicted room temperature after a set duration according to the temperature change coefficient, the room temperature at the current moment, and the room temperature at the previous moment; a control module configured to control the operation of household electrical appliances according to the predicted room temperature after the set duration; wherein, the predicted room temperature after the set duration is determined by the following method: Wherein, a is the temperature change coefficient, t is the set duration, T1 is the room temperature at the current moment, T0 is the room temperature at the previous moment, and T t+1 is the predicted room temperature after the set duration at the current moment.

8. A control device for a household electrical appliance, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute the control method for household electrical appliances according to any one of claims 1 to 6 when running the program instructions.

9. A household electrical appliance, characterized in that, including: a device body; the control device for household electrical appliances according to claim 7 or 8, which is installed on the device body.

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