Control method for household electrical appliance, household electrical appliance and medium
By predicting the waste heat drying time and selectively stopping the heating module work, the problem of large electricity consumption of household appliances is solved, and the effect of saving electricity and improving user experience is achieved.
Patent Information
- Application Number
- CN202310982383.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-04
- Publication Date
- 2025-02-14
AI Technical Summary
The existing household appliances with drying function consume a lot of power, affecting the user experience, and are not conducive to energy conservation and emission reduction.
By obtaining the observation data of the current time node, the pre-trained neural network model is used to predict the waste heat drying time, comparing whether the predicted time is consistent with the current time node, selectively stop the heating module and drying with waste heat in advance.
It has achieved early stopping heating and drying with waste heat, thereby saving electricity and energy, improving user experience and product competitiveness.
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Figure CN119439811A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a household appliance, and in particular provides a control method for a household appliance, the household appliance and a medium. Background Art
[0002] With the advancement of science and technology, the level of automation in human life is getting higher and higher, and daily housework is gradually replaced by machines. Common household appliances in daily life include clothing processing equipment, food storage equipment and bathing equipment, which bring great convenience to people's lives. Taking clothing processing equipment as an example, clothing processing equipment mainly includes washing equipment, drying equipment and washing and drying equipment.
[0003] Clothes processing equipment is an indispensable household appliance in modern families, occupying a large share of the household appliance market. In particular, the washing and drying equipment with drying function has greatly improved the convenience of life. However, since the drying device in the washing and drying equipment is an electric heat conversion device, it consumes a lot of electricity, affects the user experience, and is not conducive to energy conservation and emission reduction.
[0004] Therefore, there is an urgent need to develop a control method for household appliances and household appliances that can be beneficial to energy conservation and emission reduction. Summary of the invention
[0005] The present invention aims to solve the above technical problem, that is, to solve the problem that existing household appliances with drying function have high power consumption, affect user experience, and are not conducive to energy conservation and emission reduction.
[0006] In a first aspect, the present invention provides a control method for a household appliance, wherein the household appliance comprises a drying device, wherein the drying device comprises a heating module, and the control method comprises the following steps:
[0007] During the drying process, the observation data at the current time node T is obtained;
[0008] Using the observed data, a predicted waste heat drying time t is obtained;
[0009] Comparing whether the predicted residual heat drying time t is consistent with the current time node T, and obtaining a first comparison result;
[0010] According to the first comparison result, the heating module is selectively stopped from operating.
[0011] In the preferred technical solution of the above-mentioned control method for household appliances, the observation data includes: the temperature, humidity and drying efficiency of the household appliance at the current time node T, the ambient temperature and humidity at the current time node, and the heat transfer efficiency of the household appliance.
[0012] In the preferred technical solution of the control method for household appliances, the step of "using the observed data to obtain the predicted residual heat drying time t" includes:
[0013] Inputting the observed data into a pre-trained neural network model to obtain data on changes in temperature and humidity inside the household appliance over time;
[0014] The predicted residual heat drying time t is obtained based on the data of the temperature and humidity inside the household appliance changing over time.
[0015] In the preferred technical solution of the control method for a household appliance, “selectively stopping the operation of the heating module according to the first comparison result” specifically includes:
[0016] If t≤T, the heating module is stopped; and / or
[0017] If t>T, the heating module will not stop working.
[0018] In the preferred technical solution of the control method for household appliances, after the step of “stopping the heating module from working”, the control method further comprises:
[0019] Correction is achieved when dynamic changes occur.
[0020] In the preferred technical solution of the control method for household appliances, the step of "correcting the deviation when dynamic changes occur" specifically includes:
[0021] Real-time detection of the temperature and humidity inside the household appliance;
[0022] comparing whether the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance to obtain a second comparison result;
[0023] According to the second comparison result, the step of "obtaining the observation data at the current time node T" is selectively executed.
[0024] In the preferred technical solution of the control method for household appliances, "the step of selectively performing the step of acquiring the observation data at the current time node T according to the second comparison result" includes:
[0025] When the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance, the step of acquiring the observation data at the current time node T is not performed; and / or
[0026] When the real-time detected temperature and humidity inside the household appliance are inconsistent with the predicted temperature and humidity inside the household appliance, the step of acquiring the observation data at the current time node T is re-executed.
[0027] In a second aspect, the present invention further provides a household appliance, comprising a controller, wherein the controller is configured to execute the above control method for the household appliance.
[0028] When adopting the above technical solution, the control method for household appliances of the present invention selectively stops the operation of the heating module by comparing whether the predicted residual heat drying time t is consistent with the current time node T, thereby stopping heating in advance and using the residual heat to dry the clothes, thereby saving electricity and energy and improving user experience and product competitiveness.
[0029] In the preferred technical solution of the above household appliance, the household appliance further includes:
[0030] a temperature and humidity sensor, which is installed inside and outside the household appliance respectively, configured to detect the temperature and humidity inside the household appliance and the temperature and humidity of the external environment of the household appliance, and feed back the detected information to the controller; and
[0031] The heating module operates according to the instruction of the controller;
[0032] Wherein, the controller is configured to receive external instructions and convert them into internal control instructions.
[0033] In a third aspect, the present invention further provides a computer storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed, the above-mentioned control method for a household appliance can be implemented.
[0034] When adopting the above technical solution, the control method for household appliances of the present invention selectively stops the operation of the heating module by comparing whether the predicted residual heat drying time t is consistent with the current time node T, thereby stopping heating in advance and using the residual heat to dry the clothes, thereby saving electricity and energy and improving user experience and product competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings, in which:
[0036] Figure 1 is a schematic flow chart of a control method for a household appliance according to an embodiment of the present invention;
[0037] Figure 2 is a schematic flow chart of the step of "obtaining a predicted residual heat drying time t by using the observed data" in one embodiment of the present invention;
[0038] Figure 3 is a schematic flow chart of the step of “selectively stopping the operation of the heating module according to the first comparison result” according to an embodiment of the present invention;
[0039] Figure 4 is a schematic flow chart of specific steps of “realizing deviation correction when dynamic changes occur” according to an embodiment of the present invention;
[0040] Figure 5 is a schematic flow chart of “the step of selectively executing the step of acquiring the observation data at the current time node T according to the second comparison result” according to an embodiment of the present invention;
[0041] Figure 6 is a graph showing the change of drying state over time of a control method for a household appliance according to an embodiment of the present invention and a control method in the prior art;
[0042] Figure 7 is a schematic structural diagram of a household appliance according to an embodiment of the present invention. DETAILED DESCRIPTION
[0043] The preferred embodiments of the present application are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present application and are not intended to limit the scope of protection of the present application. For example, although the various steps are described in a sequential order in the following embodiments, it is understood by those skilled in the art that in order to achieve the effect of the present embodiment, it is not necessary to perform in such an order between different steps, and they can be performed simultaneously (in parallel) or in a reversed order, and these simple changes are within the scope of protection of the present application.
[0044] Figure 1 1 is a schematic flow chart of a control method for household appliances according to an embodiment of the present invention. The present invention aims to solve the problem that existing household appliances with drying functions have high power consumption, affect user experience, and are not conducive to energy conservation and emission reduction. Figure 1 As shown, a control method for a household appliance of the present invention comprises a drying device, the drying device comprises a heating module, and the control method comprises the following steps:
[0045] S100, during the drying process, obtaining observation data at the current time node T;
[0046] S200, using the observed data, obtaining a predicted residual heat drying time t;
[0047] S300, comparing whether the predicted residual heat drying time t is consistent with the current time node T, and obtaining a first comparison result;
[0048] S400: selectively stop the heating module from operating according to the first comparison result.
[0049] When adopting the above technical solution, the control method for household appliances of the present invention selectively stops the operation of the heating module by comparing whether the predicted residual heat drying time t is consistent with the current time node T, and predicts the drying time in advance based on digitization, so that heating can be stopped in advance and the residual heat can be used to dry the clothes, thereby saving electricity and energy and improving user experience and product competitiveness.
[0050] In the preferred technical solution of the control method for household appliances, the observed data includes: the temperature, humidity and drying efficiency of the household appliance at the current time node T, the ambient temperature and humidity at the current time node, and the heat transfer efficiency of the household appliance. That is, the factors affecting heat transfer and heat dissipation such as the temperature and humidity at the current time node T are collected, and the objective conditions such as the heat transfer efficiency and drying efficiency of the household appliance itself are combined.
[0051] Among them, the temperature outside the household appliance can be detected by a room temperature sensor. When the detected external temperature is low, the drying compensation time is extended, and when the detected external temperature is high, the drying compensation time is shortened.
[0052] Figure 2 FIG. 1 is a schematic flow chart of the step of “using observation data to obtain a predicted residual heat drying time t” according to an embodiment of the present invention. Figure 2 As shown, in the preferred implementation of the above-mentioned control method for household appliances, the step of "using the observed data to obtain the predicted residual heat drying time t" includes:
[0053] S210, inputting the observed data into a pre-trained neural network model to obtain data on changes in temperature and humidity inside the household appliance over time;
[0054] S220, obtaining a predicted residual heat drying time t based on the data of the temperature and humidity inside the household appliance changing over time.
[0055] In this embodiment, the observed data is input into a pre-trained neural network to obtain data on the temperature and humidity inside the household appliance over time. For example, if the household appliance is a washer-dryer, the above steps can be used to obtain data on the temperature and humidity inside the drum of the washer-dryer over time. The residual heat drying time is predicted, and if it is determined that the residual heat can be used for drying, the heating device is turned off in advance, that is, the drying efficiency is reduced in advance.
[0056] Among them, the neural network algorithm of the neural network model is a widely used control algorithm. Different humidity, different temperature, drying efficiency, and heat transfer efficiency are input and the corresponding estimated drying time t is output through the neural network algorithm. Generally speaking, the higher the humidity, the lower the temperature, the lower the drying efficiency, and the lower the heat transfer efficiency, the longer the expected drying time, and vice versa. Of course, in other embodiments, fuzzy control can also be used to implement the above steps. Of course, the estimated drying time t corresponding to different humidity, temperature, drying efficiency, and heat transfer efficiency can also be stored in advance, and the estimated drying time t can be obtained by establishing a database or looking up a table.
[0057] Figure 3 1 is a schematic flow chart of the step of "selectively stopping the heating module from working according to the first comparison result" in one embodiment of the present invention. Figure 3 As shown, in the preferred implementation of the control method for the household appliance, "selectively stopping the heating module from working according to the first comparison result" specifically includes:
[0058] S410, if t≤T, stop the heating module and use the residual heat to dry the clothes;
[0059] S420, if t>T, the heating module does not stop working, and returns to S100 to execute the above steps in sequence S100-S400.
[0060] It should be noted that, in one embodiment, S410 may be executed alone, or S420 may be executed alone, or both S410 and S420 may be executed.
[0061] Figure 6 This is a graph showing the change of the drying state over time of a control method for a household appliance according to an embodiment of the present invention and a control method in the prior art, wherein the horizontal axis represents time in minutes, and the vertical axis represents humidity in % rh.
[0062] like Figure 6 As shown, assuming that the traditional normal drying time is t0 = 11 minutes, the time t0 here refers to the time it takes to cut off the power after the clothes are dried from a damp 10% rh to a specified dry state of 0% rh, and the residual heat that is not dissipated after the power is cut off is actually wasted.
[0063] The embodiment of the present invention refers to real-time monitoring within the time period of 0-t0, by collecting factors affecting heat transfer and heat dissipation such as temperature and humidity at the instantaneous current time node T (i.e., observation data), combined with objective conditions such as the thermal conduction efficiency and drying efficiency of the household appliance itself, it is judged that if the current predicted residual heat drying time t can be 7 minutes, the current predicted residual heat drying time t can be 8 minutes, and the current time node T=8 minutes, then when t≤T, the heating module is stopped, and the residual heat can complete the remaining drying steps to the specified drying state.
[0064] For example, the currently predicted residual heat drying time t may be 10 minutes, and the current time node T=8 minutes, then when t>T, the heating module will not be stopped, and the process returns to S100 to sequentially execute steps S100-S400.
[0065] In the preferred implementation of the control method for household appliances, after step S410 "stop the heating module from working", the control method further includes: implementing deviation correction when dynamic changes occur. In this embodiment, real-time temperature and humidity detection is maintained during the process from the end of the heating process to the end of the drying process to prevent the phenomenon of adding clothes to be dried in the middle, resulting in failure to dry.
[0066] For example, after step 410, if the user opens the door to add clothes to be dried, the humidity will rise, and S100-S400 will be restarted to dynamically judge and correct the deviation. Through cyclic detection, the phenomenon of incomplete drying can be prevented.
[0067] Figure 4 is a schematic flow chart of specific steps of “realizing deviation correction when dynamic changes occur” according to an embodiment of the present invention. Figure 4 As shown, in the preferred implementation of the control method for household appliances, the step of "correcting the deviation when dynamic changes occur" specifically includes:
[0068] S430, detecting the temperature and humidity inside the household appliance in real time;
[0069] S440, comparing whether the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance to obtain a second comparison result;
[0070] S450, selectively executing the step of "obtaining observation data at the current time node T" according to the second comparison result.
[0071] Figure 5 is a schematic flow chart of “selectively executing the step of acquiring the observation data at the current time node T according to the second comparison result” in one embodiment of the present invention. Specifically, Figure 5 As shown, in the preferred implementation of the above-mentioned control method for household appliances, "selectively executing the step of acquiring the observation data at the current time node T according to the second comparison result" includes:
[0072] S4501, when the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance, the step of obtaining the observation data at the current time node T is not performed.
[0073] For example, at the 10th minute of drying, the temperature inside the household appliance is detected to be 25°C and the humidity is 2% rh. At the 10th minute of drying, the predicted temperature inside the household appliance is 25°C and the humidity is 2% rh. The actual detected temperature and humidity are consistent with the predicted temperature and humidity. The step of obtaining the observation data at the current time node T is not executed, and the clothes are continued to be dried with residual heat until drying is completed.
[0074] S4502, when the real-time detected temperature and humidity inside the household appliance are inconsistent with the predicted temperature and humidity inside the household appliance, the step of obtaining the observation data at the current time node T is re-executed.
[0075] For example, at the 10th minute of drying, the temperature inside the household appliance is detected to be 25°C and the humidity is 8% rh; at the 10th minute of drying, the predicted temperature inside the household appliance is 25°C and the humidity is 2% rh. The actual detected temperature and humidity are inconsistent with the predicted temperature and humidity. It is determined that the user has added clothes to be dried during the residual heat drying process. At this time, S100 executes the step of obtaining the observation data at the current time node T, and executes S200-S400 sequentially until the drying is completed.
[0076] It should be noted that, in one embodiment, S4501 may be executed alone, or S4502 may be executed alone, or both S4501 and S4502 may be executed.
[0077] In a preferred embodiment of the above-mentioned control method for a household appliance, a control method for a household appliance comprises the following steps:
[0078] S100, during the drying process, obtaining observation data at the current time node T;
[0079] S200, using the observed data, obtains the predicted residual heat drying time t, S200 specifically includes:
[0080] S210, inputting the observed data into a pre-trained neural network model to obtain data on changes in temperature and humidity inside the household appliance over time;
[0081] S220, obtaining a predicted residual heat drying time t based on the data of the temperature and humidity inside the household appliance changing over time;
[0082] S300, comparing whether the predicted residual heat drying time t is consistent with the current time node T, and obtaining a first comparison result;
[0083] S400, selectively stopping the heating module from working according to the first comparison result, S400 specifically includes:
[0084] S410, if t≤T, the heating module is stopped and the clothes are dried using the residual heat. After step 410, the control method further includes: when dynamic changes occur, deviation correction is implemented, which specifically includes:
[0085] S430, detecting the temperature and humidity inside the household appliance in real time;
[0086] S440, comparing whether the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance to obtain a second comparison result;
[0087] S450, based on the second comparison result, selectively executing the step of "obtaining observation data at the current time node T", S450 specifically includes:
[0088] S4501, when the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance, not executing the step of acquiring the observation data at the current time node T, and / or
[0089] S4502, when the real-time detected temperature and humidity inside the household appliance are inconsistent with the predicted temperature and humidity inside the household appliance, re-execute the step of obtaining the observation data at the current time node T;
[0090] S420, if t>T, the heating module does not stop working, and returns to S100 to execute the above steps in sequence S100-S400.
[0091] In a second aspect, the present invention further provides a household appliance, comprising a controller, wherein the controller is configured to execute the above-mentioned control method for a household appliance. The control method in this embodiment is the same as the above-mentioned control method for a household appliance, and the control method part is not described in detail in this embodiment.
[0092] Under the condition of adopting the above-mentioned technical scheme, the present invention adopts a control method for household appliances. By comparing whether the predicted residual heat drying time t is consistent with the current time node T, the heating module is selectively stopped. Based on digitalization, the drying time is predicted in advance, so that heating can be stopped in advance and the residual heat can be used to dry the clothes, thereby saving electricity and energy, and improving user experience and product competitiveness.
[0093] Figure 7 FIG. 1 is a schematic structural diagram of a household appliance according to an embodiment of the present invention. Figure 7As shown, in a preferred embodiment of the above household appliance, the household appliance further comprises: a temperature and humidity sensor and the above heating module. The temperature and humidity sensors are correspondingly installed inside and outside the household appliance, configured to detect the temperature and humidity inside the household appliance and the temperature and humidity of the external environment of the household appliance, and feed back the detected information to the controller. The heating module is connected to the controller and operates according to the instructions of the controller, and the heating module is used to provide heat to increase the temperature inside the household appliance. Among them, the controller is configured to receive external instructions and convert them into internal control instructions.
[0094] In specific implementation, the controller is a neural network controller. The neural network controller is respectively connected to the electrical equipment and the drying module through corresponding communication network methods. The heating module is a heating tube.
[0095] In a third aspect, the present invention further provides a computer storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed, the above-mentioned control method for a household appliance can be implemented. The control method in this embodiment is the same as the above-mentioned control method for a household appliance, and the control method part is not described in detail in this embodiment.
[0096] Under the condition of adopting the above-mentioned technical scheme, the present invention adopts a control method for household appliances. By comparing whether the predicted residual heat drying time t is consistent with the current time node T, the heating module is selectively stopped. Based on digitalization, the drying time is predicted in advance, so that heating can be stopped in advance and the residual heat can be used to dry the clothes, thereby saving electricity and energy, and improving user experience and product competitiveness.
[0097] Computer-readable media include both computer storage media and communication media, including any media that facilitates the transfer of a computer program from one place to another. Storage media can be any available media that can be accessed by a computer. As an example and not limitation, such computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer. Any connection is also properly referred to as a computer-readable medium.
[0098] Those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present application and form different embodiments. For example, in the claims of the present application, any one of the claimed embodiments may be used in any combination.
[0099] It should be noted that although the detailed steps of the method of the present application are described in detail above, without departing from the basic principles of the present application, technical personnel in this field can combine, split and change the order of the above steps. The modified technical solution does not change the basic concept of the present application and therefore falls within the scope of protection of the present application.
[0100] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
Claims
1. A control method for a household appliance, characterized in that: The household appliance includes a drying device, the drying device includes a heating module, and the control method includes the following steps: During the drying process, the observation data at the current time node T is obtained; Using the observed data, a predicted waste heat drying time t is obtained; Comparing whether the predicted residual heat drying time t is consistent with the current time node T, and obtaining a first comparison result; According to the first comparison result, the heating module is selectively stopped from operating.
2. The control method for household appliances according to claim 1, characterized in that: The observed data include: the temperature, humidity and drying efficiency of the household appliance at the current time node T, the ambient temperature and humidity at the current time node, and the heat transfer efficiency of the household appliance.
3. The control method for household appliances according to claim 1, characterized in that: The step of "using the observed data to obtain a predicted waste heat drying time t" includes: Inputting the observed data into a pre-trained neural network model to obtain data on changes in temperature and humidity inside the household appliance over time; The predicted residual heat drying time t is obtained based on the data of the temperature and humidity inside the household appliance changing over time.
4. The control method for household appliances according to any one of claims 1 to 3, characterized in that: “Selectively stopping the operation of the heating module according to the first comparison result” specifically includes: If t≤T, the heating module is stopped; and / or If t>T, the heating module will not stop working.
5. The control method for household appliances according to claim 4, characterized in that: After the step of "stopping the heating module from working", the control method further comprises: When dynamic changes occur, correction is achieved.
6. The control method for household appliances according to claim 5, characterized in that: The step of "realizing deviation correction when dynamic changes occur" specifically includes: Real-time detection of the temperature and humidity inside the household appliance; comparing whether the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance to obtain a second comparison result; According to the second comparison result, the step of "obtaining the observation data at the current time node T" is selectively executed.
7. The control method for household appliances according to claim 6, characterized in that: "The step of selectively executing the step of acquiring the observation data at the current time node T according to the second comparison result" includes: When the real-time detected temperature and humidity inside the household appliance are consistent with the predicted temperature and humidity inside the household appliance, the step of acquiring the observation data at the current time node T is not performed; and / or When the real-time detected temperature and humidity inside the household appliance are inconsistent with the predicted temperature and humidity inside the household appliance, the step of acquiring the observation data at the current time node T is re-executed.
8. A household appliance, characterized in that: The household appliance comprises a controller configured to execute the control method for a household appliance according to any one of claims 1 to 7.
9. The household appliance according to claim 8, characterized in that: The household appliance further comprises: a temperature and humidity sensor, which is installed inside and outside the household appliance respectively, configured to detect the temperature and humidity inside the household appliance and the temperature and humidity of the external environment of the household appliance, and feed back the detected information to the controller; and The heating module is connected to the controller and operates according to the instructions of the controller; Wherein, the controller is configured to receive external instructions and convert them into internal control instructions.
10. A computer storage medium, wherein the computer readable storage medium stores a computer program, characterized in that: When the computer program is executed, the control method for a household appliance according to any one of claims 1 to 7 can be implemented.
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