Clothes airing machine power supply method and device, storage medium and computer equipment

Abstract

The invention provides a clothes airing machine power supply method and device, a storage medium and computer equipment. The method comprises the steps of obtaining announcement power failure time; acquiring predicted power consumption from historical power consumption data according to the announced power failure time; controlling a power supply charging threshold value of a standby power supply according to the predicted electricity consumption; detecting a power supply state of a first power supply unit of the clothes airing machine; when the first power supply unit stops supplying power, the second power supply unit of the clothes airing machine is switched on to be connected with the standby power supply, so that the standby power supply supplies power to the clothes airing machine through the second power supply unit, the clothes airing machine can be normally used under the condition of power failure, and the endurance use capacity of the clothes airing machine is enhanced.

Description

Technical Field

[0001] The present application relates to the technical field of power supply for clothes dryers, and particularly to a power supply method, device, storage medium and computer device for a clothes dryer. Background Art

[0002] A clothes dryer is a household product used for drying clothes, which can integrate functions such as automatic lifting, lighting, disinfection, and drying, making it more convenient and efficient for people to dry clothes. However, functions such as the lifting, lighting, and disinfection of the clothes dryer all require electricity consumption to be realized. Therefore, when the power supply of the house where the clothes dryer is located is cut off, the clothes dryer cannot be used normally, including being unable to achieve electric lifting, unable to provide lighting support for users, unable to disinfect the dried clothes, etc., seriously affecting the use experience of the clothes dryer. Therefore, the existing clothes dryers have technical defects such as being unable to be used when the power supply of the house is cut off and having weak endurance. Summary of the Invention

[0003] The purpose of the present application is to overcome the deficiencies in the prior art and provide a power supply method, device, storage medium and computer device for a clothes dryer, which can enable the clothes dryer to be used normally when the power supply is cut off and enhance the endurance of the clothes dryer.

[0004] The first aspect of the embodiments of the present application provides a power supply method for a clothes dryer, including:

[0005] Obtaining the announced power outage time;

[0006] Obtaining the predicted power consumption from the historical power consumption data according to the announced power outage time;

[0007] Controlling the power charging threshold of the backup power supply according to the predicted power consumption;

[0008] Detecting the power supply state of the first power supply unit of the clothes dryer;

[0009] When the first power supply unit stops supplying power, turning on the second power supply unit of the clothes dryer to connect to the backup power supply, so that the backup power supply supplies power to the clothes dryer through the second power supply unit.

[0010] The second aspect of the embodiments of the present application provides a power supply device for a clothes dryer, including:

[0011] An announced power outage time obtaining module, configured to obtain the announced power outage time;

[0012] A predicted power consumption obtaining module, configured to obtain the predicted power consumption from the historical power consumption data according to the announced power outage time;

[0013] A charging control module, configured to control the power charging threshold of the backup power supply according to the predicted power consumption;

[0014] A power supply detection module for detecting the power supply status of the first power supply unit of the drying machine;

[0015] A backup power supply module for conducting the second power supply unit of the drying machine to connect to the backup power supply when the first power supply unit stops power supply, so that the backup power supply supplies power to the drying machine through the second power supply unit.

[0016] The third aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the drying machine power supply method described above are implemented.

[0017] The fourth aspect of the embodiments of the present application provides a computer device including a storage, a processor, and a computer program stored in the storage and executable by the processor. When the processor executes the computer program, the steps of the drying machine power supply method described above are implemented.

[0018] Compared with the related art, the present application can obtain the predicted power consumption according to the announced power outage time and historical power consumption data, and then control the power charging threshold of the backup power supply according to the predicted power consumption. It can charge the backup power supply only when the announced power outage time is obtained, and limit the charging upper limit of the backup power supply according to the power charging threshold to prevent the backup power supply from being overcharged and in a high-voltage state with high power. It can prevent the power supply life of the backup power supply from being affected due to the high-voltage state with high power of the backup power supply. Then, when the first power supply unit stops power supply, the second power supply unit of the drying machine is conducted to connect to the backup power supply, so that the charged backup power supply can supply power to the drying machine, enabling the drying machine to be used normally when the house is powered off, enhancing the endurance and usage ability of the drying machine.

[0019] In order to understand the present application more clearly, the specific embodiments of the present application will be described below in conjunction with the accompanying drawings. Description of the Drawings

[0020] Figure 1 It is a flowchart of the drying machine power supply method according to an embodiment of the present application.

[0021] Figure 2 It is a flowchart of steps S21 - S23 of the drying machine power supply method according to an embodiment of the present application.

[0022] Figure 3 It is a schematic diagram of the module connection of the drying machine power supply device according to an embodiment of the present application.

[0023] 100. Clothes dryer power supply device; 101. Announced power outage time acquisition module; 102. Predicted power consumption acquisition module; 103. Charging control module; 104. Power supply detection module; 105. Backup power supply module. Detailed implementation manners

[0024] To make the objectives, technical solutions and advantages of the present application clearer, the following will further describe in detail the embodiments of the present application with reference to the accompanying drawings.

[0025] It should be clear that the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the embodiments of the present application.

[0026] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not have to be used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances. The singular forms "a", "the" and "said" used in the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. The word "if" / "when" used herein can be interpreted as "when...", "when...", or "in response to a determination".

[0027] In addition, in the description of the present application, unless otherwise specified, "a plurality of" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0028] Please refer to Figure 1 , which is a flowchart of a clothes dryer power supply method according to an embodiment of the present application, including:

[0029] S1: Obtain the announced power outage time.

[0030] Among them, the announced power outage time is the power outage time recorded in the power outage announcement of the house where the clothes dryer is located. The power outage announcements of the house where the clothes dryer is located include, but are not limited to, the power outage announcements of the building where the clothes dryer is located, the power outage announcements of the community where the clothes dryer is located, the power outage announcements of the street where the clothes dryer is located, and the power outage announcements of the village or town where the clothes dryer is located, etc. It can be obtained according to the power outage time input by the user, or by recognizing the picture of the power outage announcement uploaded by the user.

[0031] S2: Obtain the predicted power consumption from the historical power consumption data according to the announced power outage time.

[0032] Among them, the historical power consumption data refers to the historical power consumption data of the clothes dryer. The historical power consumption data can be stored in the storage unit of the clothes dryer or in the cloud server. The historical power consumption data can be the historical power consumption data of the clothes dryer within 3 months, within 6 months, within 12 months, etc.

[0033] The time attribute and meteorological attribute of the power outage can be obtained according to the announced power outage time, and then the historical power consumption data can be screened to be used for obtaining the predicted power consumption.

[0034] S3: Control the power charging threshold of the backup power supply according to the predicted power consumption.

[0035] Among them, the backup power supply is an electric energy storage and release unit used to provide working electric energy for the clothes dryer during a power outage. Before obtaining the predicted power consumption, the stored power of the backup power supply is a preset power, and the preset power can be 0, or a relatively low stored power such as 10%, 20%, 25%, 30%. After obtaining the predicted power consumption, the predicted power consumption is determined as the power charging threshold of the backup power supply. When the stored power of the backup power supply is greater than or equal to the predicted power consumption, the charging of the backup power supply is stopped; when the stored power of the backup power supply is less than the power charging threshold, the backup power supply is charged until the power of the backup power supply is greater than or equal to the power charging threshold, and then the charging of the backup power supply is stopped. This can prevent the backup power supply from being in a high-voltage state due to excessive stored power, and avoid affecting the life of the backup power supply due to being in a high-voltage state. This is because when the backup battery is in a high-voltage state, it is easy to cause the backup power supply to bulge, and in severe cases, it may cause the backup power supply to leak liquid. Moreover, when the stored power of the backup power supply is too high and it is still in the charging state, the chemical reaction inside the backup power supply will continue and be highly active, accelerating the loss of the chemical materials of the backup power supply and intensifying the aging speed of the backup power supply, affecting the service life of the backup power supply.

[0036] S4: Detect the power supply state of the first power supply unit of the clothes dryer.

[0037] Among them, the first power supply unit of the clothes dryer is a power supply unit module for converting the mains power into the working power of the clothes dryer. For example, one end of the power cord of the clothes dryer is connected to the mains socket, and the other end of the power cord is connected to the first power supply unit, so that the first power supply unit can convert the mains power into the working power of the clothes dryer for the clothes dryer to execute multiple functions such as receiving instructions, lifting and drying, turning on the lighting, and turning on the disinfection.

[0038] S5: When the first power supply unit stops power supply, turn on the second power supply unit of the clothes dryer to connect to the backup power supply, so that the backup power supply supplies power to the clothes dryer through the second power supply unit.

[0039] Among them, the second power supply unit of the clothes dryer is a power supply unit module for connecting to the backup power supply and converting the stored electrical energy of the backup power supply into the working electrical energy of the clothes dryer.

[0040] Compared with the related technology, the present application can obtain the predicted power consumption according to the announced power outage time and historical power consumption data, and then control the power charging threshold of the backup power supply according to the predicted power consumption. When the announced power outage time is obtained, the backup power supply can be charged, and the charging upper limit of the backup power supply can be restricted according to the power charging threshold to prevent the backup power supply from being overcharged and in a high-voltage state with high power. It can prevent the power life of the backup power supply from being affected due to the high-voltage state of the backup power supply with high power. Then, when the first power supply unit stops power supply, turn on the second power supply unit of the clothes dryer to connect to the backup power supply, so that the charged backup power supply can supply power to the clothes dryer, enabling the clothes dryer to be used normally in the case of a power outage in the house, enhancing the endurance and usage ability of the clothes dryer.

[0041] Please refer to Figure 2 , in a feasible embodiment, the step S2: obtaining the predicted power consumption from the historical power consumption data according to the announced power outage time includes:

[0042] S21: Obtain the time attribute and meteorological attribute corresponding to the announced power outage time.

[0043] Among them, the time attribute indicates whether the date corresponding to the announced power outage time is a working day or a holiday, and the meteorological attribute is used to represent the weather state and temperature and humidity corresponding to the announced power outage time.

[0044] S22: Screen the historical power consumption data according to the time attribute and the meteorological attribute to obtain a number of target historical power consumption data.

[0045] Among them, screening the historical power consumption data according to the time attribute and the meteorological attribute can obtain target historical power consumption data that is similar to the announced power outage time in terms of the time attribute and the meteorological attribute.

[0046] S23: Obtain the predicted electricity consumption based on the several target historical electricity consumption data.

[0047] The target historical electricity consumption data refers to the electricity consumption data in the historical electricity consumption data that is similar in terms of time attributes and meteorological attributes to the announced power outage time. It can be used to predict the predicted electricity consumption of users at the announced power outage time, so as to improve the accuracy of the obtained predicted electricity consumption.

[0048] In this embodiment, several target historical electricity consumption data are obtained by screening according to the time attributes and meteorological attributes corresponding to the announced power outage time, so as to be used to obtain the predicted electricity consumption, and the predicted electricity consumption can be accurately obtained.

[0049] In a feasible embodiment, the time attributes include date attributes and time ranges;

[0050] The step S22: Screen the historical electricity consumption data according to the time attributes and the meteorological attributes to obtain several target historical electricity consumption data, includes:

[0051] S221: Screen the historical electricity consumption data according to the date attributes to obtain several historical daily electricity consumption data corresponding to the date attributes.

[0052] For example, if the time attribute corresponding to the announced power outage time is a working day, screen the historical electricity consumption data to obtain the electricity consumption data of several dates with the date attribute of working days as the historical daily electricity consumption data; if the time attribute corresponding to the announced power outage time is a holiday, screen the historical electricity consumption data to obtain the electricity consumption data of several dates with the date attribute of holidays as the historical daily electricity consumption data.

[0053] S222: Extract several period electricity consumption data corresponding to the time range from the several historical daily electricity consumption data according to the time range.

[0054] Among them, since several historical daily electricity consumption data are the electricity consumption data of several dates, that is, the historical daily electricity consumption data is the electricity consumption data of the clothes dryer in one day, and the announced power outage time may only be a certain period of time in one day. Therefore, in order to improve the screening accuracy, several period electricity consumption data corresponding to the time range can be extracted from the several historical daily electricity consumption data according to the time range of the announced power outage time, which can further improve the similarity between the screened period electricity consumption data and the announced power outage time in terms of time attributes.

[0055] S223: Screen the several period electricity consumption data according to the meteorological attributes to obtain several target historical electricity consumption data.

[0056] Among them, the electricity consumption data for each time period are respectively recorded with corresponding meteorological attributes. Therefore, by screening the electricity consumption data for several time periods according to the meteorological attributes, the electricity consumption data with meteorological attributes different from those of the announced power outage time can be excluded, and the similarity between the target historical electricity consumption data obtained by screening and the announced power outage time in terms of meteorological attributes can be improved.

[0057] In this embodiment, by screening the historical electricity consumption data according to the date attribute, time range, and meteorological attributes, the target historical electricity consumption data similar to the announced power outage time in terms of time attributes and meteorological attributes can be accurately obtained.

[0058] In a feasible embodiment, the meteorological attributes include weather conditions and temperature and humidity.

[0059] Among them, the weather conditions can be the weather classified by the meteorological bureau. For example, the weather conditions include various different weathers such as sunny, cloudy, rainy, snowy, etc. Temperature and humidity refer to the temperature and humidity of the environment where the clothes dryer is located. Among them, the weather conditions and temperature and humidity corresponding to the announced power outage time are all prediction data of the area where the clothes dryer is located by the meteorological bureau or weather forecast platform according to the announced power outage time. Therefore, the weather conditions and temperature and humidity corresponding to the announced power outage time can be obtained through the network.

[0060] The step S223: screening the electricity consumption data for the several time periods according to the meteorological attributes to obtain several target historical electricity consumption data includes:

[0061] The step S2231: screening the electricity consumption data for the several time periods according to the weather conditions to obtain several candidate historical electricity consumption data.

[0062] Among them, since the electricity consumption data for each time period can correspond to different weather conditions, and the weather conditions corresponding to the announced power outage time are fewer, and even the announced power outage time only corresponds to one weather condition. Therefore, in order to improve the screening accuracy, several candidate historical electricity consumption data with the same weather conditions can be extracted from the electricity consumption data for several time periods according to the weather conditions corresponding to the announced power outage time, which can further improve the similarity between the candidate historical electricity consumption data obtained by screening and the announced power outage time in terms of meteorological attributes.

[0063] The step S2232: obtaining the temperature and humidity range according to the temperature and humidity and the preset range values.

[0064] Among them, the preset range values include the temperature range value and the humidity range value. According to the temperature corresponding to the announced power outage time and the temperature range value, the temperature range can be obtained; according to the humidity corresponding to the announced power outage time and the humidity range value, the humidity range can be obtained.

[0065] S2233: Screen the several candidate historical electricity consumption data according to the temperature and humidity range to obtain the several target historical electricity consumption data.

[0066] During the process of screening several candidate historical electricity consumption data according to the temperature and humidity range, only the candidate historical electricity consumption data that simultaneously meet the temperature range and humidity range can be used as the target historical electricity consumption data. That is, the temperature of all the target historical electricity consumption data is within the temperature range, and the humidity is within the humidity range.

[0067] In this embodiment, by screening the electricity consumption data of a time period through the weather status and temperature and humidity, the target historical electricity consumption data that is similar to the announced power outage time in the dimension of meteorological attributes can be accurately obtained.

[0068] In a feasible embodiment, S23: The step of obtaining the predicted electricity consumption according to the several target historical electricity consumption data includes:

[0069] S231: Obtain the time weight of each target historical electricity consumption data according to the date difference between the data date of each target historical electricity consumption data and the power outage date of the announced power outage time; wherein, the smaller the date difference, the greater the time weight.

[0070] Among them, since the smaller the date difference between the target historical electricity consumption data and the announced power outage time, the more the target historical electricity consumption data can reflect the recent electricity consumption situation of the clothes dryer. Therefore, the smaller the date difference of the target historical electricity consumption data, the greater the corresponding time weight.

[0071] S232: Obtain the temperature weight of each target historical electricity consumption data according to the temperature difference between the data temperature of each target historical electricity consumption data and the predicted temperature and humidity of the announced power outage time; wherein, the smaller the temperature difference, the greater the temperature weight.

[0072] Among them, the temperature difference between the target historical electricity consumption data and the announced power outage time indicates that the target historical electricity consumption data can better reflect the electricity consumption situation of the clothes dryer at the temperature of the announced power outage time. Therefore, the smaller the temperature difference of the target historical electricity consumption data, the greater the corresponding temperature weight.

[0073] S233: Obtain the humidity weight of each target historical electricity consumption data according to the humidity difference between the data humidity of each target historical electricity consumption data and the predicted temperature and humidity of the announced power outage time; wherein, the smaller the humidity difference, the greater the humidity weight.

[0074] Among them, the humidity difference between the target historical electricity consumption data and the announced power outage time indicates that the target historical electricity consumption data can better reflect the electricity consumption situation of the clothes dryer at the humidity of the announced power outage time. Therefore, the smaller the humidity difference of the target historical electricity consumption data, the greater the corresponding humidity weight.

[0075] S234: Obtain the predicted electricity consumption according to the several target historical electricity consumption data, and the time weight, the temperature weight, and the humidity weight of each of the target historical electricity consumption data.

[0076] Among them, the predicted electricity consumption can be obtained by calculating the several target historical electricity consumption data, and the time weight, the temperature weight, and the humidity weight of each of the target historical electricity consumption data based on a preset predicted electricity consumption calculation method, or the several target historical electricity consumption data, and the time weight, the temperature weight, and the humidity weight of each of the target historical electricity consumption data can be input into a trained electricity consumption prediction model for prediction to obtain the predicted electricity consumption. Among them, the trained electricity consumption prediction model can be obtained by training a deep learning network model with historical electricity consumption data training samples, and the time weight, the temperature weight, the humidity weight of each historical electricity consumption data training sample, and the predicted electricity consumption training sample.

[0077] In this embodiment, after obtaining the time weight, the temperature weight, and the humidity weight of each target historical electricity consumption data, and combining each target historical electricity consumption data to calculate the predicted electricity consumption, the predicted electricity consumption can be accurately obtained.

[0078] In a feasible embodiment, the step of S234: obtaining the predicted electricity consumption according to the several target historical electricity consumption data, and the time weight, the temperature weight, and the humidity weight of each of the target historical electricity consumption data, includes:

[0079] S2341: Obtain a first predicted electricity consumption according to the several target historical electricity consumption data, and the time weight of each of the target historical electricity consumption data.

[0080] Among them, the first predicted electricity consumption is obtained through the following formula:

[0081]

[0082] Among them, Y t is the first predicted electricity consumption, X i is the i-th target historical electricity consumption data, is the time weight of the i-th target historical electricity consumption data, and N is the total number of target historical electricity consumption data.

[0083] S2342: Obtain a second predicted electricity consumption according to the several target historical electricity consumption data, and the temperature weight of each of the target historical electricity consumption data.

[0084] Among them, the second predicted electricity consumption is obtained through the following formula:

[0085]

[0086] Among them, Y T is the second predicted power consumption, X i is the i-th target historical power consumption data, is the temperature weight of the i-th target historical power consumption data, and N is the total number of target historical power consumption data.

[0087] S2343: Obtain the third predicted power consumption according to the several target historical power consumption data and the humidity weights of each of the target historical power consumption data.

[0088] Among them, the third predicted power consumption is obtained through the following formula:

[0089]

[0090] Among them, Y RH is the third predicted power consumption, X i is the i-th target historical power consumption data, is the temperature weight of the i-th target historical power consumption data, and N is the total number of target historical power consumption data.

[0091] S2344: Perform weighted summation on the first predicted power consumption, the second predicted power consumption, and the third predicted power consumption according to preset first weight, second weight, and third weight to obtain the predicted power consumption.

[0092] Among them, the first weight, the second weight, and the third weight are preset by the manufacturer or the user. The predicted power consumption is obtained through the following formula:

[0093] Y = Y t ·W 1 + Y T ·W 2 + Y RH ·W 3

[0094] In this embodiment, according to each target historical power consumption data and the corresponding time weight, temperature weight, and humidity weight respectively, the first predicted power consumption in the corresponding time dimension and the second predicted power consumption and the third predicted power consumption in the corresponding meteorological dimension are obtained, and then weighted summation is performed in combination with the preset first weight, second weight, and third weight, so that the predicted power consumption combining the time dimension and the meteorological dimension can be accurately obtained.

[0095] In a feasible embodiment, the step S1 of obtaining the announced power outage time includes:

[0096] Perform text extraction and semantic recognition on the picture of the power outage notice transmitted by the control terminal to obtain the announced power outage time recorded in the power outage notice; or, receive the announced power outage time transmitted by the control terminal.

[0097] Among them, the control terminal is an electronic device with data input and data transmission functions, such as a tablet computer, a smart phone, etc. The user can directly input the announced power outage time into the control terminal, so that the control terminal transmits the announced power outage time to the clothes dryer or the cloud server that controls the clothes dryer, so that the clothes dryer or the cloud server can obtain the predicted power consumption according to the announced power outage time to control the charging of the backup power supply and limit the power charging threshold of the backup power supply. The user can also transmit the picture of the power outage notice to the clothes dryer through the control terminal. At this time, the clothes dryer can directly perform text extraction and semantic recognition on the picture, or upload the picture to the cloud server for text extraction and semantic recognition to obtain the announced power outage time in the picture.

[0098] In this embodiment, the announced power outage time transmitted by the control terminal can be directly obtained, or the announced power outage time can be obtained from the picture of the power outage notice transmitted by the control terminal, which increases the way to obtain the announced power outage time and improves the convenience of obtaining the announced power outage time.

[0099] Please refer to Figure 3 , the second embodiment of the present application provides a power supply device for a clothes dryer, including:

[0100] An announced power outage time acquisition module, configured to acquire the announced power outage time;

[0101] A predicted power consumption acquisition module, configured to acquire the predicted power consumption from the historical power consumption data according to the announced power outage time;

[0102] A charging control module, configured to control the power charging threshold of the backup power supply according to the predicted power consumption;

[0103] A power supply detection module, configured to detect the power supply state of the first power supply unit of the clothes dryer;

[0104] A backup power supply module, configured to connect the second power supply unit of the clothes dryer to the backup power supply when the first power supply unit stops supplying power, so that the backup power supply supplies power to the clothes dryer through the second power supply unit.

[0105] It should be noted that when the clothes drying machine power supply device provided in the second embodiment of the present application executes the clothes drying machine power supply method, only the above-mentioned division of each functional module is used for illustration. In actual application, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the clothes drying machine power supply device provided in the second embodiment of the present application and the clothes drying machine power supply method of the first embodiment of the present application belong to the same concept. The implementation process is shown in the method embodiment and will not be repeated here.

[0106] In a third aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the clothes drying machine power supply method described above are implemented.

[0107] In a fourth aspect of the embodiments of the present application, a computer device is provided, including a storage, a processor, and a computer program stored in the storage and executable by the processor. When the processor executes the computer program, the steps of the clothes drying machine power supply method described above are implemented.

[0108] The device embodiments described above are merely illustrative. The components described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present application. Those of ordinary skill in the art can understand and implement it without creative work.

[0109] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0110] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the selected functions in the process Figure 1 one process or multiple processes and / or blocks Figure 1 These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means for implementing the selected functions in the process Figure 1 one process or multiple processes and / or blocks Figure 1 in one block or multiple blocks

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the selected functions in the process Figure 1 one process or multiple processes and / or blocks Figure 1 in one block or multiple blocks

[0112] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0113] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0114] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0115] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0116] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for supplying power to a clothes drying machine, characterized in that: include: Get the announced power outage time; According to the announced power outage time, obtaining predicted power consumption from historical power consumption data; controlling a power charging threshold of a backup power source according to the predicted power consumption; Detecting a power supply status of a first power supply unit of the clothes drying machine; When the first power supply unit stops supplying power, the second power supply unit of the clothes drying machine is turned on to connect the backup power supply, so that the backup power supply supplies power to the clothes drying machine through the second power supply unit.

2. The method for powering a clothes drying machine according to claim 1, characterized in that: The step of obtaining predicted power consumption from historical power consumption data according to the announced power outage time includes: Obtaining the time attribute and meteorological attribute corresponding to the announced power outage time; Filtering the historical power consumption data according to the time attribute and the meteorological attribute to obtain a plurality of target historical power consumption data; The predicted power consumption is obtained according to the plurality of target historical power consumption data.

3. The method for supplying power to a clothes drying machine according to claim 2, characterized in that: The time attribute includes a date attribute and a time range; The step of filtering the historical power consumption data according to the time attribute and the meteorological attribute to obtain a plurality of target historical power consumption data includes: Filtering the historical electricity consumption data according to the date attribute to obtain a plurality of historical daily electricity consumption data corresponding to the date attribute; According to the time range, extracting electricity consumption data of several time periods corresponding to the time range from the several historical daily electricity consumption data; The electricity consumption data of the plurality of time periods are screened according to the meteorological attributes to obtain a plurality of target historical electricity consumption data.

4. The method for supplying power to a clothes drying machine according to claim 3, characterized in that: The meteorological attributes include weather conditions and temperature and humidity; The step of filtering the electricity consumption data of the plurality of time periods according to the meteorological attributes to obtain a plurality of target historical electricity consumption data includes: Filter the electricity consumption data of the plurality of time periods according to the weather conditions to obtain a plurality of candidate historical electricity consumption data; According to the temperature and humidity and the preset range value, obtaining the temperature and humidity range; The plurality of candidate historical power usage data are screened according to the temperature and humidity range to obtain the plurality of target historical power usage data.

5. The method for supplying power to a clothes drying machine according to claim 2, characterized in that: The step of obtaining the predicted power consumption according to the plurality of target historical power consumption data comprises: According to the date difference between the data date of each target historical power consumption data and the power outage date of the announced power outage time, the time weight of each target historical power consumption data is obtained; wherein the smaller the date difference, the greater the time weight; According to the temperature difference between the data temperature of each target historical power consumption data and the predicted temperature and humidity of the announced power outage time, the temperature weight of each target historical power consumption data is obtained; wherein the smaller the temperature difference, the greater the temperature weight; According to the humidity difference between the data humidity of each target historical power consumption data and the predicted temperature and humidity of the announced power outage time, the humidity weight of each target historical power consumption data is obtained; wherein the smaller the humidity difference, the greater the humidity weight; The predicted power consumption is obtained according to the plurality of target historical power consumption data, and the time weight, the temperature weight and the humidity weight of each of the target historical power consumption data.

6. The method for supplying power to a clothes drying machine according to claim 5, characterized in that: The step of obtaining the predicted power consumption according to the plurality of target historical power consumption data, and the time weight, the temperature weight, and the humidity weight of each of the target historical power consumption data, comprises: Obtaining a first predicted power consumption according to the plurality of target historical power consumption data and the time weight of each of the target historical power consumption data; Obtaining a second predicted power consumption according to the plurality of target historical power consumption data and the temperature weight of each of the target historical power consumption data; Obtaining a third predicted power consumption according to the plurality of target historical power consumption data and the humidity weight of each of the target historical power consumption data; The first predicted power consumption, the second predicted power consumption and the third predicted power consumption are weightedly summed according to a preset first weight, a second weight and a third weight to obtain the predicted power consumption.

7. The method for supplying power to a clothes drying machine according to claim 1, characterized in that: The step of obtaining the announced power outage time includes: Performing text extraction and semantic recognition on the image of the power outage notice transmitted by the control end to obtain the announced power outage time recorded in the power outage notice; Alternatively, the announced power outage time is received and transmitted by the control terminal.

8. A power supply device for a clothes drying machine, characterized in that: include: The announced power outage time acquisition module is used to obtain the announced power outage time; A predicted power consumption acquisition module, used to obtain predicted power consumption from historical power consumption data according to the announced power outage time; A charging control module, used to control a power charging threshold of the backup power supply according to the predicted power consumption; A power supply detection module, used to detect the power supply status of the first power supply unit of the clothes drying machine; The backup power supply module is used to turn on the second power supply unit of the clothes drying machine to connect the backup power supply when the first power supply unit stops supplying power, so that the backup power supply supplies power to the clothes drying machine through the second power supply unit.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for powering a clothes drying machine as claimed in any one of claims 1 to 7 are implemented.

10. A computer device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements the steps of the method for powering a clothes drying machine as claimed in any one of claims 1 to 7 when executing the computer program.

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