Clothes drying remote control method and system, server and storage medium

Abstract

The invention discloses a clothes drying remote control method and system, a server and a storage medium, and relates to the technical field of intelligent household appliances. The method comprises the following steps: acquiring infrared spectrum data of to-be-dried clothes which are not dried, and determining a clothes material of the to-be-dried clothes according to the infrared spectrum data; when the material of the to-be-dried clothes is not suitable for drying, an alarm signal is generated and sent to the control terminal; when the clothes material of the to-be-dried clothes is the clothes material suitable for being dried, image information after the to-be-dried clothes start to be dried and the humidity in the drying cylinder are obtained in real time; the drying state of the to-be-dried clothes is judged according to the image information and the humidity; and when the drying state is a dried state, generating a drying prompt signal, and sending the drying prompt signal to the control terminal. The drying quality can be improved when clothes are dried.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home appliances, and in particular to a remote control method, system, server and storage medium for clothes drying. Background Art

[0002] Nowadays, dryers or clothes dryers have gradually entered users' homes. However, there may be users who are not very familiar with dryers, especially those with elderly people or relatives and friends at home. They are not very familiar with the use of dryers and operate the dryers incorrectly, which affects the drying effect or quality of the dryers on clothes.

[0003] Due to the different materials of clothes, they can be divided into clothes that can be dried in a dryer and clothes that cannot be dried in a dryer. If you are not familiar with the use of a dryer, there is a risk of mistakenly drying clothes that cannot be dried in a dryer, or using too high a temperature or too long a time to dry clothes that can be dried in a dryer, causing damage to the clothes. Summary of the invention

[0004] The object of the present invention is to provide a clothes drying remote control method, system, server and storage medium, which can improve the drying quality when drying clothes.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A clothes drying remote control method, the method comprising:

[0007] Acquire infrared spectrum data of the clothes to be dried before drying begins, and determine the clothes material of the clothes to be dried according to the infrared spectrum data; the clothes material includes clothes material suitable for drying and clothes material unsuitable for drying;

[0008] When the material of the clothes to be dried is not suitable for drying clothes, an alarm signal is generated and sent to the control terminal;

[0009] When the material of the clothes to be dried is suitable for drying clothes, image information of the clothes to be dried after drying and the humidity in the drying drum are obtained in real time;

[0010] Determining the drying state of the clothes to be dried according to the image information and the humidity; the drying state includes dried and not dried;

[0011] When the drying state is dried, a drying prompt signal is generated and sent to the control terminal.

[0012] Optionally, the Internet of Things technology is used to send an alarm signal or a drying prompt signal to the control terminal.

[0013] Optionally, obtaining infrared spectrum data of the clothes to be dried before drying begins specifically includes:

[0014] Acquire first infrared spectrum data when the clothes to be dried are not placed in the drying drum and second infrared spectrum data after the clothes to be dried are placed in the drying drum;

[0015] The infrared spectrum data of the clothes to be dried is determined according to the first infrared spectrum data and the second infrared spectrum data.

[0016] Optionally, determining the material of the clothes to be dried according to the infrared spectrum data specifically includes:

[0017] The infrared spectrum data is input into a clothing material recognition model to obtain the clothing material of the clothing to be dried; wherein the clothing material recognition model is obtained by training a neural network model through a training data set; the training data set includes infrared spectrum data of clothing material samples and corresponding clothing materials.

[0018] Optionally, the neural network model is a deep learning neural network model.

[0019] Optionally, judging the drying state of the clothes to be dried according to the image information and the humidity specifically includes:

[0020] Converting the image information into a grayscale image;

[0021] Calculating a histogram of a grayscale channel of the grayscale image;

[0022] Calculating a mean and a standard deviation of the histogram, and using the mean as the brightness of the image information, and using the standard deviation as the brightness uniformity of the image information;

[0023] Searching for a humidity value corresponding to the brightness of the image information from a correspondence relationship between preset brightness and humidity; wherein each brightness value in the correspondence relationship between preset brightness and humidity corresponds to a humidity value;

[0024] Finding the actual humidity of the clothes to be dried corresponding to the humidity from the corresponding relationship between the preset humidity in the drying drum and the actual humidity of the clothes;

[0025] Performing a mean operation on the actual humidity of the clothes to be dried and the humidity value corresponding to the brightness of the image information to obtain a predicted humidity value;

[0026] The drying state of the clothes to be dried is determined according to the predicted humidity value and the brightness uniformity of the image information.

[0027] Optionally, determining the drying state of the clothes to be dried according to the predicted humidity value and the brightness uniformity of the image information specifically includes:

[0028] When the predicted humidity value is less than the minimum value of the preset humidity threshold range, the drying state of the clothes to be dried is not dried;

[0029] When the predicted humidity value is greater than or equal to the minimum value of the preset humidity threshold range and less than or equal to the maximum value of the preset humidity threshold range, and the brightness uniformity of the image information is less than the preset uniformity threshold, the drying state of the clothes to be dried is undried;

[0030] When the predicted humidity value is greater than or equal to the minimum value of the preset humidity threshold range and less than or equal to the maximum value of the preset humidity threshold range, and the brightness uniformity of the image information is greater than or equal to the preset uniformity threshold, the drying state of the clothes to be dried is dried;

[0031] When the predicted humidity value is greater than the maximum value of the preset humidity threshold range, the drying state of the clothes to be dried is dried, and an over-dry alarm signal is generated.

[0032] A clothes drying remote control system, the system comprising:

[0033] A first acquisition module is used to acquire infrared spectrum data of the clothes to be dried before drying begins, and determine the clothes material of the clothes to be dried according to the infrared spectrum data; the clothes material includes clothes material suitable for drying and clothes material unsuitable for drying;

[0034] A first generating module, configured to generate an alarm signal and send it to a control terminal when the material of the clothes to be dried is not suitable for drying clothes;

[0035] The second acquisition module is used to acquire image information of the clothes to be dried after they start to be dried, as well as the humidity and temperature in the drying drum in real time when the clothes to be dried are made of a material suitable for drying clothes;

[0036] A judging module, used for judging the drying state of the clothes to be dried according to the image information, the humidity and the temperature; the drying state includes dried and not dried;

[0037] The second generating module is used to generate a drying prompt signal when the drying state is dried, and send the drying prompt signal to the control terminal.

[0038] A server, comprising:

[0039] at least one processor;

[0040] and a memory communicatively coupled to the at least one processor;

[0041] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned clothes drying remote control method.

[0042] A computer-readable storage medium stores computer instructions, wherein the computer instructions are used to enable a processor to implement the above-mentioned clothes drying remote control method when executed.

[0043] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0044] The present invention discloses a remote control method, system, server and storage medium for drying clothes. The method comprises the following steps: obtaining infrared spectrum data of clothes to be dried before drying begins, determining the clothes material of the clothes to be dried according to the infrared spectrum data; generating an alarm signal and sending it to a control terminal when the clothes material of the clothes to be dried is not suitable for drying, so that when clothes to be dried are detected to be not suitable for drying, an alarm is sent to the control terminal, and the clothes not suitable for drying are promptly reminded to be taken out, so that the clothes suitable for drying can continue to be dried; when the clothes material of the clothes to be dried is suitable for drying, image information of the clothes to be dried after drying begins and humidity in a drying drum are obtained in real time; the drying state of the clothes to be dried is judged according to the image information and the humidity; the drying state includes dried and not dried; when the drying state is dried, generating a drying prompt signal and sending the drying prompt signal to the control terminal, and judging the drying state of the clothes to be dried in real time, timely monitoring whether the clothes to be dried have been dried can be performed, so as to avoid the situation that the clothes to be dried are over-dried and thus damaged, thereby improving the drying quality of the clothes. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 A schematic flow chart of a clothes drying remote control method provided in Embodiment 1 of the present invention;

[0047] Figure 2 This is a diagram of the internal structure of a computer device. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] The object of the present invention is to provide a clothes drying remote control method, system, server and storage medium, aiming to improve the drying quality when drying clothes.

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] Example 1

[0052] like Figure 1 As shown, the clothes drying remote control method in this embodiment includes:

[0053] Step S1: Acquire infrared spectrum data of the clothes to be dried before drying begins, and determine the clothing material of the clothes to be dried according to the infrared spectrum data; the clothing material includes clothing material suitable for drying and clothing material unsuitable for drying.

[0054] The infrared spectrum data of the clothes to be dried before drying is obtained specifically includes:

[0055] Step S111: acquiring first infrared spectrum data when the clothes to be dried are not placed in the drying drum and second infrared spectrum data when the clothes to be dried are placed in the drying drum.

[0056] In practical applications, the first infrared spectrum data and the second infrared spectrum data are both infrared spectrum data obtained in the same target area.

[0057] Step S121: determining infrared spectrum data of the clothes to be dried according to the first infrared spectrum data and the second infrared spectrum data.

[0058] In practical applications, since the first infrared spectrum data and the second infrared spectrum data are both infrared spectrum data obtained in the same target area, the second infrared spectrum data includes the external light spectrum data of the clothes to be dried and the first infrared spectrum data, so separate infrared spectrum data of the clothes to be dried can be obtained.

[0059] Determining the clothing material of the clothes to be dried according to the infrared spectrum data specifically includes: inputting the infrared spectrum data into a clothing material recognition model to obtain the clothing material of the clothes to be dried; wherein the clothing material recognition model is obtained by training a neural network model through a training data set; the training data set includes infrared spectrum data of clothing material samples and corresponding clothing materials.

[0060] Specifically, the neural network model is a deep learning neural network model.

[0061] In practical applications, only the infrared spectrum data of the clothes to be dried is used. Through the recognition of the clothing material recognition model, interference factors can be removed to obtain more accurate clothing material recognition results.

[0062] Step S2: When the material of the clothes to be dried is not suitable for drying clothes, an alarm signal is generated and sent to the control terminal.

[0063] In actual applications, when it is detected that the clothes to be dried contain materials that are not suitable for drying, an alarm signal is generated in time and transmitted to the control terminal through the Internet of Things; wherein the control terminal is a mobile phone, tablet, computer and other devices, and the alarm signal is received in the above-mentioned devices through APP, small programs or software, client, etc., so that the user can receive the alarm signal and take out the clothes to be dried that are not suitable for drying clothes in the dryer in time, so that the dryer can perform subsequent drying operations on the remaining clothes to be dried that are suitable for drying clothes.

[0064] Step S3: When the material of the clothes to be dried is suitable for drying clothes, image information of the clothes to be dried after drying and the humidity in the drying drum are obtained in real time.

[0065] In practical applications, the image information of the clothes to be dried after drying starts is obtained in real time through the visual sensor, and the humidity in the drying drum is obtained in real time through the humidity sensor.

[0066] Step S4: judging the drying state of the clothes to be dried according to the image information and the humidity; the drying state includes dried and undried.

[0067] S4 specifically includes:

[0068] Step S41: converting the image information into a grayscale image.

[0069] Step S42: Calculate the histogram of the grayscale channel of the grayscale image.

[0070] Step S43: Calculate the mean and standard deviation of the histogram, and use the mean as the brightness of the image information, and use the standard deviation as the brightness uniformity of the image information.

[0071] Step S44: searching for a humidity value corresponding to the brightness of the image information from a preset correspondence between brightness and humidity; wherein each brightness value in the preset correspondence between brightness and humidity corresponds to a humidity value.

[0072] In actual applications, during the drying process of the clothing samples to be dried, the brightness of the image information of the clothing samples to be dried is obtained multiple times. Each time the brightness of the image information of the clothing samples to be dried is obtained, the humidity of the clothing is measured multiple times, and the average of the measurement results is taken as the humidity value corresponding to the brightness value. The correspondence between multiple brightness values ​​and humidity values ​​is obtained by having the same clothing sample to be dried undergo the process from the beginning of drying to the completion of drying multiple times. The correspondence between multiple brightness values ​​and humidity values ​​can also be obtained by having different clothing samples to be dried undergo the process from the beginning of drying to the completion of drying multiple times.

[0073] Step S45: searching for the actual humidity of the clothes to be dried corresponding to the humidity from the corresponding relationship between the preset humidity in the drying drum and the actual humidity of the clothes.

[0074] In actual applications, during the drying process of the clothing samples to be dried, the humidity value in the drying drum is obtained multiple times, and the humidity of the clothing samples to be dried is detected multiple times while each time the humidity value in the drying drum is obtained, and the multiple values ​​of the humidity detection results are averaged to obtain the real humidity of the clothing samples to be dried, that is, the real humidity value of the clothing samples to be dried corresponding to each time the humidity value in the drying drum is obtained, so as to obtain the corresponding relationship between the preset humidity in the drying drum and the real humidity of the clothes.

[0075] Step S46: performing a mean operation on the actual humidity of the clothes to be dried and the humidity value corresponding to the brightness of the image information to obtain a predicted humidity value.

[0076] Step S47: determining the drying state of the clothes to be dried according to the predicted humidity value and the brightness uniformity of the image information.

[0077] S47 specifically includes:

[0078] Step S471: When the predicted humidity value is less than the minimum value of the preset humidity threshold range, the drying state of the clothes to be dried is undried.

[0079] Step S472: When the predicted humidity value is greater than or equal to the minimum value of the preset humidity threshold range and less than or equal to the maximum value of the preset humidity threshold range, and the brightness uniformity of the image information is less than the preset uniformity threshold, the drying state of the clothes to be dried is undried.

[0080] In actual applications, when the predicted humidity value is within the preset humidity threshold range, the humidity value shows that the clothes to be dried are in a dried state, but the brightness uniformity of the image information is less than the preset uniformity threshold, indicating that the drying is uneven. In some places, the humidity does not actually meet the drying state. Therefore, when the predicted humidity value is within the preset humidity threshold range, continue drying.

[0081] In this case, the dryer adjusts the drying temperature and lowers the drying temperature to ensure that when the predicted humidity value of the clothes to be dried is within the preset humidity threshold range, the brightness uniformity of the image information is greater than or equal to the preset uniformity threshold, thereby achieving the optimal drying state.

[0082] Step S473: When the predicted humidity value is greater than or equal to the minimum value of the preset humidity threshold range and less than or equal to the maximum value of the preset humidity threshold range, and the brightness uniformity of the image information is greater than or equal to the preset uniformity threshold, the drying state of the clothes to be dried is dried.

[0083] In actual applications, when the predicted humidity value is within the preset humidity threshold range, the humidity value shows that the clothes to be dried are in a dried state, and the brightness uniformity of the image information is greater than or equal to the preset uniformity threshold, indicating that the drying is uniform. Therefore, the drying state of the clothes to be dried is dried.

[0084] Step S474: When the predicted humidity value is greater than the maximum value of the preset humidity threshold range, the drying state of the clothes to be dried is dried, and an over-dry alarm signal is generated.

[0085] In actual applications, when the predicted humidity value is greater than the maximum value of the preset humidity threshold range, it means that the clothes to be dried are no longer suitable for further drying. If they continue to be dried, they will be damaged. At this time, an over-dry alarm signal is generated and transmitted to the control terminal through the Internet of Things. After the user of the control terminal receives the alarm signal, he / she will turn off the dryer in time and stop the drying work.

[0086] Step S5: When the drying state is dried, a drying prompt signal is generated and the drying prompt signal is sent to the control terminal.

[0087] In actual applications, the drying reminder signal is sent to the control terminal through the Internet of Things. After the user of the control terminal receives the alarm signal, he will turn off the dryer in time and stop the drying work.

[0088] Example 2

[0089] The present invention provides a clothes drying remote control system, applying the clothes drying remote control method in embodiment 1, and the system comprises:

[0090] The first acquisition module is used to acquire infrared spectrum data of the clothes to be dried before drying begins, and determine the clothing material of the clothes to be dried according to the infrared spectrum data; the clothing material includes clothing material suitable for drying and clothing material not suitable for drying.

[0091] The first generating module is used to generate an alarm signal and send it to the control terminal when the material of the clothes to be dried is not suitable for drying clothes.

[0092] The second acquisition module is used to acquire image information of the clothes to be dried after drying and the humidity and temperature in the drying drum in real time when the clothes material of the clothes to be dried is suitable for drying clothes.

[0093] A judgment module is used to judge the drying state of the clothes to be dried according to the image information, the humidity and the temperature; the drying state includes dried and undried.

[0094] The second generating module is used to generate a drying prompt signal when the drying state is dried, and send the drying prompt signal to the control terminal.

[0095] Example 3

[0096] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the clothes drying remote control method in Example 1.

[0097] Example 4

[0098] A server, comprising: at least one processor; and a memory in communication with the at least one processor. The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the clothes drying remote control method in Example 1.

[0099] Example 5

[0100] A computer device, which may be a database, may have an internal structure as shown in Figure 2As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the clothes drying remote control method in Example 1 is implemented.

[0101] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0102] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited thereto.

[0103] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0104] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A remote control method for drying clothes, characterized in that: The method comprises: Acquire infrared spectrum data of the clothes to be dried before drying begins, and determine the clothes material of the clothes to be dried according to the infrared spectrum data; the clothes material includes clothes material suitable for drying and clothes material unsuitable for drying; When the material of the clothes to be dried is not suitable for drying clothes, an alarm signal is generated and sent to the control terminal; When the material of the clothes to be dried is suitable for drying clothes, image information of the clothes to be dried after drying and the humidity in the drying drum are obtained in real time; Determining the drying state of the clothes to be dried according to the image information and the humidity; the drying state includes dried and not dried; When the drying state is dried, a drying prompt signal is generated and sent to the control terminal.

2. The clothes drying remote control method according to claim 1, characterized in that: The Internet of Things technology is used to send alarm signals or drying prompt signals to the control terminal.

3. The clothes drying remote control method according to claim 1, characterized in that: Obtain infrared spectrum data of clothes to be dried before drying, including: Acquire first infrared spectrum data when the clothes to be dried are not placed in the drying drum and second infrared spectrum data after the clothes to be dried are placed in the drying drum; The infrared spectrum data of the clothes to be dried is determined according to the first infrared spectrum data and the second infrared spectrum data.

4. The clothes drying remote control method according to claim 1, characterized in that: Determining the material of the clothes to be dried according to the infrared spectrum data specifically includes: The infrared spectrum data is input into a clothing material recognition model to obtain the clothing material of the clothing to be dried; wherein the clothing material recognition model is obtained by training a neural network model through a training data set; the training data set includes infrared spectrum data of clothing material samples and corresponding clothing materials.

5. The clothes drying remote control method according to claim 4, characterized in that: The neural network model is a deep learning neural network model.

6. The clothes drying remote control method according to claim 1, characterized in that: Determining the drying state of the clothes to be dried according to the image information and the humidity specifically includes: Converting the image information into a grayscale image; Calculating a histogram of a grayscale channel of the grayscale image; Calculating a mean and a standard deviation of the histogram, and using the mean as the brightness of the image information, and using the standard deviation as the brightness uniformity of the image information; Searching for a humidity value corresponding to the brightness of the image information from a correspondence relationship between preset brightness and humidity; wherein each brightness value in the correspondence relationship between preset brightness and humidity corresponds to a humidity value; Finding the actual humidity of the clothes to be dried corresponding to the humidity from the corresponding relationship between the preset humidity in the drying drum and the actual humidity of the clothes; Performing a mean operation on the actual humidity of the clothes to be dried and the humidity value corresponding to the brightness of the image information to obtain a predicted humidity value; The drying state of the clothes to be dried is determined according to the predicted humidity value and the brightness uniformity of the image information.

7. The clothes drying remote control method according to claim 6, characterized in that: Determining the drying state of the clothes to be dried according to the predicted humidity value and the brightness uniformity of the image information specifically includes: When the predicted humidity value is less than the minimum value of the preset humidity threshold range, the drying state of the clothes to be dried is not dried; When the predicted humidity value is greater than or equal to the minimum value of the preset humidity threshold range and less than or equal to the maximum value of the preset humidity threshold range, and the brightness uniformity of the image information is less than the preset uniformity threshold, the drying state of the clothes to be dried is undried; When the predicted humidity value is greater than or equal to the minimum value of the preset humidity threshold range and less than or equal to the maximum value of the preset humidity threshold range, and the brightness uniformity of the image information is greater than or equal to the preset uniformity threshold, the drying state of the clothes to be dried is dried; When the predicted humidity value is greater than the maximum value of the preset humidity threshold range, the drying state of the clothes to be dried is dried, and an over-dry alarm signal is generated.

8. A clothes drying remote control system, characterized in that: The system comprises: A first acquisition module is used to acquire infrared spectrum data of the clothes to be dried before drying begins, and determine the clothes material of the clothes to be dried according to the infrared spectrum data; the clothes material includes clothes material suitable for drying and clothes material unsuitable for drying; A first generating module, configured to generate an alarm signal and send it to a control terminal when the material of the clothes to be dried is not suitable for drying clothes; The second acquisition module is used to acquire image information of the clothes to be dried after they start to be dried, as well as the humidity and temperature in the drying drum in real time when the clothes to be dried are made of a material suitable for drying clothes; A judging module, used for judging the drying state of the clothes to be dried according to the image information, the humidity and the temperature; the drying state includes dried and not dried; The second generating module is used to generate a drying prompt signal when the drying state is dried, and send the drying prompt signal to the control terminal.

9. A server, characterized in that: The server comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the clothes drying remote control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the clothes drying remote control method according to any one of claims 1 to 7 when executed.

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