WO2024001107A1

WO2024001107A1 - Airing control method and apparatus, airing device, storage medium, and program product

Info

Publication number: WO2024001107A1
Application number: PCT/CN2022/141506
Authority: WO
Inventors: 王妙玉; 欧宝星; 吴宁泉; 李昌; 周亮
Original assignee: 广东好太太科技集团股份有限公司
Priority date: 2022-06-29
Filing date: 2022-12-23
Publication date: 2024-01-04
Also published as: CN115167205A

Abstract

An airing control method and apparatus, an airing device, a computer readable storage medium, and a computer program product, relating to the field of home devices. The airing control method comprises: obtaining weight change data of clothes related to the lifting/lowering state of an airing pole (130); on the basis of the weight change data, determining a control object behavior implemented for an airing device (100); and on the basis of the control object behavior, determining a control operation on the airing device (100). By means of weight change data related to the lifting/lowering state of the airing pole (130), a control object behavior is determined, so as to determine, according to the determined control object behavior, a subsequent operation that needs to be performed by the airing device (100).

Description

Drying control method, device, drying equipment, storage medium and program product

Technical field

This application relates to the technical field of household equipment. Specifically, this application relates to a drying control method, device, drying equipment, computer-readable storage media and computer program products.

Background technique

At present, a weighing module has been added to the clothes dryer, which can be used to detect the weight data of the clothes on the clothes drying rod of the clothes dryer, and supports the transmission of the weight data to the customer terminal to realize some intelligent operations related to the weight of clothes.

However, client terminal applications only perform intelligent operations on the weight data of clothing, such as modifying drying operating parameters. That is to say, in the existing technology, the weight data of clothing can only be statically used to perform corresponding intelligent operations. Its function is relatively simple and the sense of intelligence is not strong.

Contents of the invention

The solutions shown in the embodiments of this application are intended to solve one of the above technical problems.

According to one aspect of the embodiment of the present application, a drying control method is provided, which is applied to a drying equipment. The drying equipment includes a drying rod for drying clothes. The method includes:

Obtain the weight change data of the clothes related to the lifting state of the drying pole; determine the control object behavior for the drying equipment based on the weight change data; determine the control operation for the drying equipment based on the control object behavior.

Optionally, obtain the weight change data of the clothes related to the lifting state of the drying rod, including:

In response to the descending instruction for the drying rod, the first weight data of the clothes on the drying rod is obtained, and the drying rod is lowered; in response to the rising instruction for the drying rod, after the drying rod rises from the bottom to the top, the first weight data of the clothes on the drying rod is obtained. Second weight data; weight change data is determined based on the first weight data and the second weight data.

And/or, after the drying pole drops to the bottom and before responding to the rising instruction for the drying pole, obtain at least two third weight data of the clothes on the drying pole; determine the weight change data based on the at least two third weight data.

Optionally, obtain the second weight data of the clothes on the drying rod, including:

Acquire multiple weight data on the drying pole in at least one unit time of the preset time period, and calculate the fluctuation difference between the maximum weight data and the minimum weight data per unit time; if the fluctuation difference is not greater than the preset third Threshold to obtain the second weight data of the clothes on the drying pole.

Optionally, determine the control object behavior implemented for the drying equipment based on the weight change data, including at least one of the following:

If the first change data is not less than the preset first threshold, it is determined that the control object behavior of the drying equipment includes the first behavior of increasing the weight of the clothes on the drying rod; if the second change data is not less than the preset second threshold, it is determined The control object behavior of the drying equipment includes a second behavior of reducing the weight of the clothes on the drying rod; wherein, determining the weight change data based on the first weight data and the second weight data includes: combining the second weight data with the first weight data. The difference is determined as the first change data, and/or the difference between the first weight data and the second weight data is determined as the second change data.

Optionally, determining the control object behavior for the drying equipment based on the weight change data also includes:

If the first change data is less than the preset first threshold, and if the second change data is less than the preset second threshold, the control object behavior implemented for the drying equipment is determined based on the weight change data determined by at least two third weight data. .

Optionally, the third weight data is sorted based on the acquired moment; the weight change data is determined based on at least two third weight data, including:

Determine the third weight data ranked first as the reference data, and perform at least one of the following operations for each third weight data in order from front to back: If the first difference between the third weight data and the reference data The absolute value of is not less than the preset fourth threshold, the third weight data ranked last is determined as the new benchmark data, and the first difference value greater than zero is determined as the third change data; if the benchmark data is different from The absolute value of the second difference value of the third weight data is not less than the preset fifth threshold. The third weight data ranked last is determined as the new reference data, and the second difference value greater than zero is determined. It is the fourth change data.

Calculate the first sum of all the third change data, and if the first sum is not less than the preset sixth threshold, determine that the control object behavior for the drying device includes the first behavior of increasing the weight of the clothes on the drying rod; calculate all The second sum of the fourth change data, and if the second sum is not less than the preset seventh threshold, it is determined that the control object behavior for the drying device includes a second behavior of reducing the weight of the clothes on the drying rod.

Optionally, the control operation for the drying equipment is determined based on the behavior of the manipulated object, including at least one of the following:

Based on the first behavior, a control operation related to drying clothes is performed or a prompt message for the control operation is issued; based on the second behavior, a control operation related to laundry sorting is performed or a prompt message for the control operation is issued.

According to another aspect of the embodiment of the present application, a drying control device is provided. The device is applied to a drying equipment. The drying equipment includes a drying rod for drying clothes. The device includes:

The acquisition module acquires the weight change data of the clothes related to the lifting state of the drying rod.

The first determination module is used to determine the control object behavior implemented for the drying equipment based on the weight change data.

The second determination module is used to determine the control operation of the drying equipment based on the behavior of the control object.

According to another aspect of the embodiment of the present application, a drying device is provided. The drying device includes a main control module, a weighing module and a drying rod; wherein,

The weighing module is used to detect the weight data of the clothes on the drying pole and send the weight data to the main control module;

The main control module is used to control the drying equipment to execute the steps of the drying control method shown in this application according to the weight data.

According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of a drying control method shown in the present application are implemented.

According to another aspect of the embodiments of the present application, a computer program product is provided. The product includes a computer program. When the computer program is executed by a processor, the steps of a drying control method shown in the present application are implemented.

The beneficial effects brought by the technical solutions provided by the embodiments of this application are:

The present application provides a drying control method that can be applied to drying equipment. The drying equipment may include a drying rod for drying clothes. Specifically, the method includes: obtaining weight change data of the clothes related to the lifting state of the drying rod. ; Determine the control object behavior implemented for the drying equipment based on the weight change data; determine the control operation for the drying equipment based on the control object behavior. The implementation of this application uses the weight change data of the clothes related to the lifting state of the drying rod to realize the judgment of the behavior of the control object, so as to determine the subsequent operations to be performed by the drying equipment based on the determined behavior of the control object. For example, the weight change data of the clothes can be used to determine whether the user has performed clothes drying and/or collecting operations on the drying equipment. If there are drying and/or collecting operations, the drying equipment is controlled to dry the clothes. Operations such as handling and/or laundry sorting.

Specifically, a simple and fast method can be used first (for example, obtaining the weight change data of the clothes before and after operating the drying rod) to determine whether the user performs clothes drying and/or collecting clothes operations, or another method can be used to improve the calculation accuracy. method (for example, obtaining the weight change data of the clothes during the operation of the drying rod) to determine whether the user performs clothes drying and/or collecting clothes operations. Or combine the aforementioned two methods to determine whether the user performs clothes drying and/or clothes collecting operations.

Description of drawings

In order to explain the technical solutions in the embodiments of the present application more clearly, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below.

Figure 1 is a schematic structural diagram of a drying equipment provided by an embodiment of the present application;

Figure 2 is a schematic flow chart of a drying control method provided by an embodiment of the present application;

Figure 3 is a schematic structural diagram of a drying control device provided by an embodiment of the present application;

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The embodiments of the present application are described below with reference to the drawings in the present application. It should be understood that the embodiments described below in conjunction with the accompanying drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application, and do not limit the technical solutions of the embodiments of the present application.

Those skilled in the art will understand that, unless expressly stated otherwise, the singular forms "a", "an", "the" and "the" used herein may also include the plural form. It should be further understood that the terms "comprising" and "including" used in the embodiments of this application mean that the corresponding features can be implemented as the presented features, information, data, steps, operations, elements and/or components, but do not exclude Implementation is other features, information, data, steps, operations, elements, components and/or their combinations supported by the technical field. It should be understood that when we refer to an element being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element, or one element and the other element may be connected to the other element through intervening elements. Establish connections. Additionally, "connected" or "coupled" as used herein may include wireless connections or wireless couplings. The term "and/or" is used herein to indicate at least one of the items defined by the term. For example, "A and/or B" can be implemented as "A", or as "B", or as "A and B" ".

In order to make the purpose, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

The following describes the technical solutions of the embodiments of the present application and the technical effects produced by the technical solutions of the present application through the description of several exemplary embodiments. It should be noted that the following embodiments can be referred to, borrowed from, or combined with each other. The same terms, similar features, and similar implementation steps in different embodiments will not be repeatedly described.

Referring to Figure 1, an embodiment of the present application provides a schematic structural diagram of a drying device. Among them, the drying equipment 100 may include a main control module 110, a weighing module 120, and a drying rod 130. Among them, the drying rod 130 is connected to the weighing module 120, and the weighing module 120 is connected to the main control module 110.

The weighing module 120 is used to detect the weight data of the clothes on the drying rod 130 and send the weight data to the main control module 110 .

Specifically, the weighing module 120 may be configured with at least one sensor, and each sensor is in contact with the drying pole 130 . The weighing module 120 can determine the weight of the clothes on the drying pole 130 by processing the data detected by the sensor, thereby detecting the weight data of the clothes on the drying pole 130 . The weighing module 120 can perform data detection operations according to a preset frequency, or can perform data detection operations in response to instructions sent by the main control module 110 .

The main control module 110 is used to control the drying equipment to execute the steps of any drying control method in the embodiments of the present application according to the weight data.

Specifically, the main control module 110 can be a microcontroller unit (MCU, Microcontroller Unit), and the microcontroller unit can be configured with memory, counters, USB, etc. Application programs can also be run on the micro control unit to perform logical operations.

The drying rod 130 is used for drying clothes. It should be noted that the shape, length, material, and manner of clothes drying of the drying rod 130 can refer to designs in the prior art, and this application does not limit this.

In a possible implementation, the drying equipment 100 may also include a motor module 140 and a drying pole limiting structure 150 . Among them, the drying pole limiting structure 150 is connected to the main control module 110 and the drying pole 130 respectively; the motor module 140 is connected to the main control module 110 and the drying pole 130 respectively.

The drying pole limiting structure 150 is used to detect the position of the drying pole 130 and send the detected data to the main control module 110 .

Specifically, the drying pole limiting structure 150 can limit the movement of the clothes drying pole 130 in a range. If the top is taken as the initial position, the range of movement can determine that the lowest position of the clothes drying pole is the bottom. The initial position and range of movement of the drying rod 130 can be set according to requirements, and this application does not limit this.

Alternatively, the behavior of controlling the object may be the behavior of an object that controls the drying device, and the object that controls the drying device 110 may be a user, an intelligent robot, or the like.

Optionally, the main control module 110 is also used to send an operation command (such as a rising command or a falling command) to control the rising or falling of the drying pole to the motor module 140.

Specifically, if the drying equipment 100 receives a pole operation command triggered by a control object or a pole operation command automatically triggered by a scene, it sends an operation command to the motor module 140 through the main control module 110 . Among them, if the drying pole 130 is at the top, the main control module 110 sends a descending command to the motor module 140; if the drying pole 130 is at the bottom, the main control module 110 sends a rising command to the motor module 140.

The motor module 140 is used to control the raising or lowering of the drying rod 130 in response to the operation command.

Specifically, the motor module 140 can be composed of a motor, which can rotate forward or reversely, and its rotation state is controlled by the main control module 110 . When responding to the received running command, the motor module 140 can perform at least one of the following operations:

(1) When receiving the rising command, the drying rod 130 is driven to rise through the rotation of the motor;

(2) When receiving the descending command, the drying rod 130 is driven to descend through the rotation of the motor.

In a possible implementation, the drying device 100 may also include a communication module 160 , and the drying device may also be connected to the cloud server 200 through the communication module 160 .

The main control module 110 is also used to send the detection data obtained by the detection to the communication module 160 .

Among them, the detection data sent by the main control module 110 may include weight data; on this basis, it may also include: the position of the drying pole 130 (such as at the bottom, at the top, or in the process of lifting), the operating status of the motor module 140 and other related data.

The communication module 160 is used to perform corresponding operations (such as logical operations, etc.) according to the received detection data, and/or send the received detection data to the cloud server 200, so that the cloud server 200 can perform corresponding operations according to the detection data. operations (such as logical operations, etc.).

Optionally, when the main control module 110 sends the weight data to the communication module 160, the communication module 160 or the cloud server 200 can perform corresponding operations and feed back the execution results (such as control operations for the drying equipment) to the main control module 110, so that the main control module 110 controls the drying device 100 to perform subsequent operations. Specifically, the corresponding operation includes determining the weight change data of the clothes related to the lifting state of the drying pole 130 based on the detection data; determining the control object behavior for the drying equipment based on the weight change data; determining the control object behavior for the drying equipment based on the control object behavior. control operations. Optionally, the determined manipulation object behavior may be the result of execution, and the determined control operation information may also be the result of execution.

The process of determining the control object behavior for the drying equipment based on the weight data of the clothes can be executed by the main control module 110, the communication module 160, or the cloud server 200. Optionally, if the resources (such as memory resources) of the main control module 110 are sufficient, the main control module may execute the operation; if the resources of the main control module 110 are insufficient, the communication module 160 may execute the detection, or the detection data obtained by the detection may be sent. to the cloud server 200, and executed by the cloud server 200. The introduction of the cloud server 200 can effectively solve the problem of insufficient processing capacity of the drying equipment 100.

In one example, the communication module 160 may be a zigbee module, a wifi module, or a 4G/5G communication module.

In the embodiment of the present application, the connection method adopted may be a wired connection (such as a connection on a physical structure) or a wireless connection.

The embodiment of the present application also provides a drying control method, which can be applied to the drying device 100 in the above embodiment. Specifically, as shown in Figure 2, the method includes the following steps S210 to S230.

S210: Obtain the weight change data of the clothes related to the lifting state of the drying rod.

Specifically, the weight data of the clothes can be obtained once before the drying rod descends and after the drying rod rises, and then the weight change data can be determined based on the weight data obtained twice. Alternatively, after the drying pole is lowered and before the drying pole is raised, weight data of multiple items of clothing are acquired, and then the weight change data is determined based on the multiple acquired weight data.

Among them, the lifting state of the drying pole is related to the user's needs. For example, when running the method provided by this application, the initial state of the drying equipment is that there are clothes drying on the drying pole and the drying pole is at the top, and the user's demand is to collect the clothes. Control the drop of the drying pole. The weight change data indicates the weight change of the clothes on the drying rod.

S220: Determine the control object behavior for the drying equipment based on the weight change data.

Among them, the behavior of the controlled object may be the behavior of the object that controls the drying equipment, and the object that controls the drying equipment may be a user, an intelligent robot, etc. Optionally, the manipulation object behavior may include a first behavior of increasing the weight of the laundry on the drying pole, and a second behavior of reducing the weight of the laundry on the drying pole.

In a specific application scenario, the first behavior may indicate that the control object performs the operation of drying clothes, and the second behavior may indicate that the control object performs the operation of collecting clothes.

S230: Determine the control operation for the drying equipment based on the behavior of the control object.

The embodiment of the present application provides a drying control method, which uses the weight change data of the clothes related to the lifting state of the drying rod to realize the judgment of the behavior of the control object, so as to determine the required execution of the drying device based on the determined behavior of the control object. Follow-up operations. For example, the weight change data of the clothes can be used to determine whether the control object has performed a clothes drying operation; if so, the drying equipment can be controlled to perform a drying operation.

The specific processing process of obtaining weight change data in the embodiment of the present application will be described below.

Specifically, in step S210, the weight change data of the clothes related to the lifting state of the drying rod is obtained, including steps Sa11, Sa12 and Sa13.

Sa11, in response to the lowering instruction for the drying pole, obtain the first weight data of the clothes on the drying pole, and lower the drying pole.

Among them, the user can trigger the descending command by operating the preset descending button on the drying device; or, if the drying device is connected to a smart washing machine, the descending command is triggered after the smart washing machine performs the clothes cleaning operation.

Specifically, after receiving the descending instruction, the drying equipment performs the operation of lowering the drying pole. Before performing the operation of lowering the drying pole, the latest weight data of the clothes on the drying pole is obtained and determined as the first weight data.

Sa12, in response to the rising instruction for the drying pole, obtain the second weight data of the clothes on the drying pole after the drying pole rises from the bottom to the top.

Among them, the user can trigger the rising command by operating the preset rising button on the drying device; or, if the drying device is connected to a smart washing machine, the rising command is triggered after the clothes in the smart washing machine are transferred to the drying rod.

Sa13, determine the weight change data based on the first weight data and the second weight data.

The weight change data in S210 includes first change data and/or second change data.

Specifically, the first change data may be a difference of the second weight data minus the first weight data, and the difference may be used to determine whether the operation of drying the clothes is performed. The second change data may be the difference of the first weight data minus the second weight data, and the difference may be used to determine whether the laundry collection operation is performed.

In a specific application scenario, after receiving the descending instruction, the drying equipment obtains M _t0 (corresponding to the first weight data) through the weighing module. After receiving the rising command, the drying equipment obtains M _t1 (corresponding to the second weight data) through the weighing module. Then it is determined based on the first weight data and the second weight data whether to perform the operation of drying the clothes or collecting the clothes.

In a feasible embodiment, in step S220, the control object behavior implemented for the drying equipment is determined based on the weight change data, which may specifically include at least one of the following steps Sb1-step Sb2:

Sb1. If the first change data is not less than the preset first threshold, determine that the control object behavior of the drying equipment includes the first behavior of increasing the weight of the clothes on the drying rod.

Sb2. If the second change data is not less than the preset second threshold, determine that the control object behavior of the drying equipment includes the second behavior of reducing the weight of the clothes on the drying rod.

Specifically, the value of the first threshold or the second threshold can be set with reference to the material, length, clothes drying method and other information of the drying pole, or can be set according to user needs, which is not limited by this application.

In one example, the preset first threshold and the preset second threshold may be any value in the range of no less than 3kg and no more than 8kg (unit of measurement, kilogram).

Optionally, the first threshold and the second threshold may adopt the same threshold. If both are set to 5kg (the set threshold is related to the model of the drying equipment, for example, the threshold set for a drying equipment that can carry 12-15 pieces of clothing is different from that of a drying equipment that can carry 7-10 pieces of clothing).

In the embodiment of the present application, considering that the drying pole of the drying equipment is generally placed at the vent, the weight data on the drying pole is easily interfered by wind when detecting the weight data on the drying pole, so that the detected weight data may be inaccurate.

In order to solve this technical problem, the embodiment of the present application also provides a possible implementation manner. Specifically, in step Sa12, the second weight data of the clothes on the drying rod is obtained. Among them, step Sa12 specifically includes steps Sc1 to Sc2.

Sc1: Acquire multiple weight data on the drying pole in at least one unit time of the preset time period, and calculate the fluctuation difference between the maximum weight data and the minimum weight data per unit time.

Specifically, the start node of the preset time period can be the moment corresponding to the rise of the pole to the top (for example, the pole rises to the top at 08:03:51, then the start node of the preset time period can be 08 :03:51), or when the drying pole reaches the specified time after it rises to the top (for example, the specified time is 3s, assuming that the drying pole rises to the top at 08:01:02, then the start node of the preset time period can be 08:01:05).

Among them, assuming that the preset time period is 10s and one unit time is 5s, multiple weight data corresponding to the two unit times can be obtained within the preset time period.

Among them, within a unit time, multiple weight data can be obtained according to the preset frequency (for example, if the interval is set to 1s to obtain one weight data, when the unit time is 5s, 5 weight data can be obtained in one unit time), from this Filter out the largest weight data and the smallest weight data from multiple weight data, calculate the difference between the largest weight data and the smallest weight data, and determine the fluctuation difference corresponding to the unit time.

Sc2, if the fluctuation difference is not greater than the preset third threshold, obtain the second weight data of the clothes on the drying pole.

Among them, the third threshold is a threshold for judging whether the drying pole is in a stable state. Specifically, if there is a preset number of fluctuation differences that are not greater than the third threshold, it can be determined that the drying pole is in a stable state; the preset number may be one or multiple. In actual applications, it can be set according to needs.

Specifically, the weight data of the clothes on the drying pole is obtained under the condition that the drying pole is in a stable state, and the weight data obtained in this state is used as the second weight data.

In one example, the preset third threshold may be any value in the range of no less than 1kg and no more than 5kg.

In a specific application scenario, the third threshold can be set to 1kg, the initial moment when the drying pole reaches the top is used as the starting point of the preset time period, and then a 10s time period is set, and 2 is set within the 10s time period. A unit time of 5 seconds. In one of the 5s unit time, the weight data is obtained every 100ms (milliseconds), and a total of 30 weight data are obtained; the largest weight data is 3.56kg and the smallest weight data is 3.86kg from the 30 weight data, and the calculation is The fluctuation difference between the two is 0.3kg. In another 5s period, the obtained fluctuation difference is 0.1kg. Since 0.3kg and 0.1kg are less than 1kg respectively, it can be judged that the drying pole is in a stable state.

In an optional embodiment, the weight change data can also be determined by other means.

Specifically, in step S110, obtaining the weight change data of the clothes related to the lifting state of the drying rod may also include steps Sa21 and Sa22:

Sa21, after the drying pole drops to the bottom and before responding to the rising instruction for the drying pole, obtain at least two third weight data of the clothes on the drying pole.

Optionally, each of the at least two third weight data is sorted based on the acquisition time.

Sa22, determine weight change data based on at least two third weight data.

Specifically, when the drying pole is at the bottom, multiple weight data of the clothes on the drying pole are obtained at a preset frequency.

Because when the drying rod is at the bottom, the drying rod may be touched when drying or collecting clothes, causing the detected weight data to be too large or too small rather than the true weight data. To address this problem, the multiple weight data can be filtered. There are at least two weight data obtained through the filtering process, that is, the above may include at least two third weight data.

In one example, the filtering operation can be implemented using a Gaussian filter, a moving average filter, etc., which is not limited by this application.

In a possible implementation, the weight change data may also include third change data and/or fourth change data; determining the manipulation object behavior for the drying equipment based on the weight change data may specifically include:

The third weight data ranked first is determined as the reference data, and at least one of the following steps Sd and Se is performed for each third weight data in order from front to back.

Sd, if the absolute value of the first difference between the third weight data and the reference data is not less than the preset fourth threshold, the third weight data ranked last will be determined as the new reference data, and will be greater than zero. The first difference is determined as the third change data.

Specifically, among at least two third weight data, the data ranked first is determined as the first reference data, and the first difference between each third weight data and the reference data is calculated sequentially; if the first difference The absolute value of the value is not less than the fourth threshold, and the third weight data ranked next to the third weight data is determined as the new reference data, so that the first difference value is obtained again in sequence until the last third weight data is obtained. The first difference value corresponding to the weight data.

Wherein, when the absolute value of the first difference is not less than the fourth threshold, there is an operation of recording or not recording the first difference. Specifically, the first difference value is greater than zero, indicating that the detection of the third weight data corresponds to the addition of clothes on the drying pole. Therefore, the first difference value needs to be counted in the statistical operation of adding clothes; and for the first difference The value is less than zero, indicating that the moment when the third weight data is detected corresponds to the reduction of clothes on the drying rod. The influence of this data needs to be eliminated, that is, no recording is performed, and the baseline data needs to be re-determined to count the addition of clothes.

The first difference value that needs to be recorded is determined as the third change data.

Se, if the absolute value of the second difference between the reference data and the third weight data is not less than the preset fifth threshold, the third weight data ranked next is determined as the new reference data, and will be greater than zero. The second difference is determined as the fourth change data.

Specifically, among at least two third weight data, the data ranked first is determined as the first reference data, and the second difference between the reference data and each third weight data is calculated sequentially; if the second The difference is not less than the fifth threshold, and the third weight data ranked next to the third weight data is determined as the new reference data, so that the second difference value is obtained sequentially again until the last third weight data is obtained. the second difference. In addition, when the second difference value is greater than zero, the second difference value is determined as the fourth change data.

Wherein, when the absolute value of the second difference is not less than the fifth threshold, there is also an operation of recording or not recording the second difference. Specifically, the second difference value is greater than zero, indicating that the detection of the third weight data corresponds to the reduction of clothes on the drying rod. Therefore, the second difference value needs to be recorded in the statistical operation of reducing clothes; and for the second difference The value is less than zero, indicating that the moment when the third weight data is detected corresponds to the addition of clothes on the drying pole. The influence of this data needs to be eliminated, that is, no recording is performed, and the baseline data needs to be re-determined to count the reduction of clothes.

The second difference value that needs to be recorded is determined as the fourth change data.

In one example, the preset fourth threshold and the preset fifth threshold are any value in the range of no less than 1kg and no more than 3kg.

In a possible implementation, determining the control object behavior for the drying equipment based on the weight change data includes at least one of steps Sf and Sg:

Sf, calculate the first sum of all the third change data, and if the first sum is not less than the preset sixth threshold, determine that the control object behavior for the drying device includes the first behavior of increasing the weight of the clothes on the drying rod.

Sg, calculate the second sum of all the fourth change data, and if the second sum is not less than the preset seventh threshold, determine that the control object behavior for the drying device includes the second behavior of reducing the weight of the clothes on the drying rod.

Specifically, if the problem to be solved is to confirm whether to dry the clothes, the first sum of the third change data can be calculated. Alternatively, if the problem to be solved is to confirm the collection of laundry, the second sum of the fourth change data may be calculated. Or, if the problem to be solved is to confirm the drying and collecting of clothes, the first sum and the second sum need to be calculated.

In one example, the preset sixth threshold and the preset seventh threshold are any value in the range of no less than 3kg and no more than 8kg.

Optionally, in the above embodiment, the implemented manipulation object behavior is judged by the fact that the first change data is not less than the first threshold, or the second change data is not less than the second threshold. If the first change data is less than the first threshold or the second change data is less than the second threshold, that is, the implemented manipulation object behavior cannot be judged based on the first change data and the second change data, you can also go through steps Sa21 and Sa22. To judge the implemented control object behavior.

Specifically, determining the control object behavior for the drying equipment based on the weight change data also includes:

In the process of implementing this solution, the weight change data can be obtained only through Sa13 to judge the behavior of the manipulated object, or the weight change data can be obtained only through Sa22 to judge the behavior of the manipulated object, or Sa13 and Sa22 can be combined to determine the behavior of the manipulated object. The weight change data is obtained to determine the behavior of the manipulated object. This application does not limit this.

Optionally, the method of obtaining the weight change data through Sa13 to judge the behavior of the manipulated object is relatively simple and fast, while the method of obtaining the weight change data through Sa22 to judge the behavior of the manipulated object can improve the calculation accuracy.

For the determined operations of drying clothes or collecting clothes, follow-up services can also be provided to enhance the intelligent experience of the product. To this end, the embodiment of the present application also provides a possible implementation manner. Specifically, determining the control operation for the drying equipment based on the behavior of the manipulation object in step S230 specifically includes at least one of steps Sh and Si.

Sh, based on the first behavior, performs a control operation related to drying clothes or issues a prompt message for the control operation.

Specifically, when the first line is for drying clothes, the clothes waiting to be dried on the drying rod can be air-dried and dried. Specifically, if the drying equipment is equipped with a drying module, the drying module can be automatically started to perform quick drying operations such as air drying and drying on the clothes to be dried. Alternatively, a voice prompt can be issued through the drying equipment, prompting the user to manually trigger the drying equipment to perform operations such as air drying and drying.

Si, based on the second behavior, perform a control operation related to laundry sorting or issue a prompt message for the control operation.

Specifically, the second line represents the operation of collecting clothes, which means that the clothes to be dried are collected from the drying rod. For drying clothes, you can organize and store them through the provided storage module. In addition, if it is determined based on the weight data that there is no clothes on the drying rod, you can also perform a cleaning operation on the drying rod after collecting the clothes.

It should be noted that there can be other processing methods for the first and second behaviors mentioned above, and this application does not limit this.

The embodiment of the present application also provides a possible implementation manner. The drying device further includes a communication module and is connected to the cloud server through the communication module.

Send the detected data to the cloud server through the communication module, so that the cloud server can perform corresponding operations based on the detected data; receive the operation results fed back by the cloud server, and determine the control operation of the drying equipment based on the operation results.

Specifically, the drying equipment can also send detection data including the position of the drying pole, weight data of the clothes on the drying pole, and the status of the motor to the cloud server. Then, the cloud server determines the weight change data of the clothes on the drying pole based on the received detection data, and determines the control object behavior of the drying equipment based on the weight change data, so that the control operation of the drying equipment can be determined based on the control object behavior.

The solution provided by the embodiments of the present application can be applied to any application scenario of clothes drying. Through this solution, the obtained weight data of the clothes on the drying pole can be processed to realize the judgment of the behavior of the controlled object, so as to act as an action based on the behavior of the controlled object. Corresponding control operations. In order to better understand the solution provided by the embodiments of the present application, the solution will be further described below with reference to a specific implementation example of a clothes dryer.

In this example, the clothes dryer includes a main control chip, a motor, a weighing module, a drying rod, and a drying rod limiting structure. Among them, the drying rod is connected to the motor, the weighing module, and the drying rod limiting structure respectively, and the main control chip is connected to the motor, the weighing module, and the drying rod limiting structure. Among them, the motor can receive the rising command or falling command sent by the main control chip and perform the corresponding operation; the weighing module can detect the weight data of the clothes on the drying pole and send it to the main control chip; the drying pole limit structure detects the weight of the drying pole. Location information is sent to the main control chip.

In this example, the solution provided by the embodiment of the present application can be implemented as an application program. The application program can be an independent application program or a plug-in or small program in other applications. After using the application program, the clothes dryer , you can use this application to process the obtained clothing weight data, and determine whether to perform the clothing drying operation based on the processing results.

This example includes steps S1001 to S1009, as follows:

S1001. The clothes dryer obtains the weight data M _t of the clothes.

Specifically, the weighing module obtains the weight data M _t of the clothes on the drying pole according to a preset frequency, and sends the obtained M _t to the main control chip.

In the following steps, unless otherwise specified, the weight data obtained means obtaining the weight data of the clothes on the drying pole.

S1002, the clothes dryer receives the descending command and lowers the drying rod.

Specifically, the user can trigger the descending instruction by operating the preset descending button on the clothes dryer, or trigger the descending instruction after performing the laundry cleaning operation through the connected smart washing machine. Among them, the M _t received at the moment when the pole is ready to descend is regarded as M _t0 .

The clothes dryer controls the drying rod to rise in response to the descending command. Among them, during the descending process, the main control chip pauses receiving M _t .

S1003, after the drying rod drops to the bottom, the clothes drying machine continues to receive M _t .

Specifically, if the drying pole limit structure detects that the drying pole is at the bottom, the main control chip starts to receive M _t according to the preset frequency, and identifies it as weight data M _b0 ~ M _bn in sequence according to the reception time, a total of n data point. The preset frequency can be 1 time/s.

S1004, the clothes dryer receives the rising command and raises the drying rod.

Specifically, the user can trigger the descending instruction by operating the preset ascending button on the clothes dryer, or trigger the ascending instruction after performing the clothes washing operation through the connected smart washing machine. During the rising process, the main control chip pauses to obtain weight data.

The clothes dryer responds to the rising command and controls the lowering of the drying rod. Among them, during the rising process, the main control chip suspends receiving M _t .

Among them, the drying pole limit structure continuously detects the position of the drying pole during the rising process.

S1005, after the clothes dryer is raised to the top, determine whether the drying rod is in a stable state.

Specifically, after the drying pole limit structure detects that the drying pole is at the top, the main control chip acquires multiple weight data in multiple consecutive unit times in a preset time period. Optionally, for the weight data obtained at each unit time, calculate the fluctuation difference between the maximum weight data and the minimum weight data respectively, thereby obtaining the fluctuation difference corresponding to each unit time. Finally, if the fluctuation differences corresponding to multiple consecutive unit times are not greater than the preset threshold 1 (which may correspond to the third threshold in the above method embodiment), it is determined that the drying pole is in a stable state. The preset threshold 1 can be any value within the range of no less than 1kg and no more than 5kg.

If at least one of the fluctuation differences corresponding to multiple consecutive unit times is greater than the preset threshold, the data is judged to be unstable, that is, the drying pole is judged to be in an unstable state. For example, the drying pole is disturbed by strong external forces such as strong winds, resulting in an unstable state. In this case, the current process can be ended.

S1006, the clothes dryer obtains the weight data M _t1 .

Specifically, if the data is determined to be stable, the main control chip obtains the weight data M _t1 .

Next, you can use S1006~S1009 to determine the details of the addition/reduction of clothes on the drying pole, or use S1008-S1009 to determine the details of the addition/reduction of clothes on the drying pole. During this judgment process, if the total weight of the added clothes is greater than the preset threshold 2 (corresponding to the first threshold in the above method embodiment), it can be judged that more clothes have been added to the drying rod; if the total weight of the reduced clothes is greater than the preset With a threshold of 3 (which may correspond to the second threshold in the above method embodiment), it can be determined that there are fewer clothes on the drying rod.

S1007, the clothes dryer determines the details of the increase or decrease of clothes based on the weight data M _t0 and M _t1 .

Specifically, calculate the absolute value of the difference between M _t1 and M _t0 . If the absolute value is greater than the preset threshold 2, and M _t1 is greater than M _t0 , it can be judged that the clothes on the drying rod have increased; if the absolute value When the value is greater than the preset threshold 3 and M _t1 is less than M _t0 , it can be judged that the number of clothes on the drying rod has decreased. Among them, threshold 2 and threshold 3 respectively correspond to the first threshold and the second threshold in the above method embodiment.

If the absolute value is not greater than the threshold 2, or if the absolute value is not greater than the preset threshold 3, it cannot be determined whether there are more clothes or less clothes on the drying rod. Next, whether there are additional clothes on the drying rod will be explained in detail through S1008 to S1009. Among them, the process of determining whether there are fewer clothes on the drying rod can be referred to S1008~S1009. For the sake of simplicity, the details will not be described again.

S1008, the clothes dryer performs filtering processing on M _b0 ~ M _bn to obtain M _bf0 ~ M _bfm , where m <= n. Among them, M _bf0 ~ M _bfm are sorted according to the acquisition time.

Specifically, M _b0 ~ M _bn are filtered through various filtering algorithms to filter out weight fluctuations caused by touching the drying pole and shaking of the drying pole when picking up/putting clothes, and obtain M _bf0 ~ M _bfm .

Among them, since M _b0 ~ M _bn are identified in order according to the time of acquisition, each data is arranged in order. Each data in M _bf0 ~M _bfm obtained through filtering processing can also be sorted according to the time point at which each data is obtained.

S1009, the clothes dryer determines whether there are more clothes on the drying rod based on M _bf0 ~ M _bfm . This step includes 4 sub-steps (a), (b), (c) and (d).

(a) Select M _bf0 as the reference data M _base and calculate the difference ΔM _i0 = |M _bfi –M _base |. Among them, M _bfi is any one of M _bf0 , M _bf1 ...M _bfm . Substitute M _bf0 , M _bf1 ...M _bfm into the position of M _bfi in sequence, and calculate ΔM _i0 . When a certain M _bfi is substituted, the obtained ΔM _i0 is not less than the preset threshold 4 (corresponding to the fourth threshold in the above method embodiment). Wherein, the threshold 4 is any value from 1kg to 3kg.

(b) If M _bfi >M _base , record ΔM _i0 .

(c). Redetermine M _base =M _bf(i+1) and obtain the difference value ΔM _i1 = |M _bfi –M _base |. Among them, the M _bfi is M _bf(i+1) , M _bf(i+2) ...M _bfm , and M _bf(i+1) , M _bf(i+2) ...M _bfm are substituted into M in order. _bfi , calculate ΔM _i1 .

(d) Repeat (a) to (c) until M _bfi becomes M _bfm . Finally, a total of k pieces of data from ΔM _i0 to ΔM _ik are obtained, and the sum of the k pieces of data ΔM _i is calculated.

If ΔM _i is greater than the preset threshold 5 (corresponding to the sixth threshold in the above method embodiment), it is determined that there are additional clothes on the drying rod. Among them, the threshold 5 is any value in the range of no less than 3kg and no more than 8kg.

Optionally, the user can also be prompted to perform air drying, drying and other operations through the control panel, voice, etc., for example, a voice prompt is issued, "While drying the clothes, can the air drying function be turned on to speed up the drying of the clothes?". Alternatively, the clothes dryer may also include a drying module, and the clothes drying operation can be performed by starting the drying module.

Referring to Figure 3, the embodiment of the present application provides a drying control device 300. The device 300 is applied to the drying equipment 100 in the above embodiment. The device 300 may include: an acquisition module 310, a first determination module 320 and a second determination module. Module 330.

The acquisition module 310 is used to acquire the weight change data of the clothes related to the lifting state of the drying rod.

The first determination module 320 is used to determine the control object behavior implemented for the drying equipment based on the weight change data.

The second determination module 330 is used to determine the control operation of the drying equipment based on the behavior of the manipulation object.

In a possible implementation, the acquisition module 310 is specifically used to obtain the weight change data of the clothes related to the lifting state of the drying pole:

In a possible implementation, the first determination module 320 is specifically used to obtain the second weight data of the clothes on the drying pole:

In a possible implementation, the first determination module 320 is specifically used to determine the manipulation object behavior implemented for the drying equipment based on the weight change data:

If the first change data is not less than the preset first threshold, it is determined that the control object behavior of the drying equipment includes the first behavior of increasing the weight of the clothes on the drying rod, and the first change data is the combination of the second weight data and the first weight data. difference.

If the second change data is not less than the preset second threshold, it is determined that the control object behavior of the drying equipment includes the second behavior of reducing the weight of the clothes on the drying rod, and the second change data is the combination of the first weight data and the second weight data. difference.

Wherein, determining the weight change data based on the first weight data and the second weight data includes: determining the difference between the second weight data and the first weight data as the first change data, and/or, determining the difference between the first weight data and the first weight data. The difference between the two weight data is determined as the second change data.

In a possible implementation, the first determination module 320 is also specifically used to determine the manipulation object behavior for the drying equipment based on the weight change data:

If the first change data is less than the first threshold, and if the second change data is less than the second threshold, the control object behavior implemented for the drying equipment is determined based on the weight change data determined by at least two third weight data.

In a possible implementation, the weight change data includes third change data and fourth change data; the third weight data is sorted based on the time of acquisition; the first determination module 320 determines the weight change based on at least two third weight data In the data, it is specifically used for:

Determine the third weight data sorted first as the baseline data, and perform at least one of the following operations for each third weight data in order from front to back:

If the absolute value of the first difference between the third weight data and the reference data is not less than the preset fourth threshold, the third weight data ranked next is determined as the new reference data, and the third weight data greater than zero is determined. A difference value is determined as the third change data.

If the absolute value of the second difference between the reference data and the third weight data is not less than the preset fifth threshold, the third weight data ranked next is determined as the new reference data, and the third weight data greater than zero is determined. The two difference values are determined as the fourth change data.

In a possible implementation, the first determination module 320 is specifically configured to perform at least one of the following in determining the manipulation object behavior implemented for the drying equipment based on the weight change data:

Calculate the first sum of all the third change data, and if the first sum is not less than the preset sixth threshold, it is determined that the control object behavior for the drying device includes the first behavior of increasing the weight of the clothes on the drying rod.

Calculate the second sum of all the fourth change data, and if the second sum is not less than the preset seventh threshold, determine that the control object behavior for the drying device includes a second behavior of reducing the weight of the clothes on the drying rod.

In a possible implementation, the second determination module 330 is specifically configured to perform at least one of the following when determining the control operation on the drying equipment based on the behavior of the manipulation object:

Based on the first behavior, a control operation related to drying clothes is performed or a prompt message for the control operation is issued.

Based on the second behavior, a control operation related to laundry sorting is performed or a prompt message for the control operation is issued.

The device of the embodiment of the present application can execute the method provided by the embodiment of the present application, and its implementation principle is similar. The actions performed by each module in the device of the embodiment of the present application are the same as the steps in the method of the embodiment of the present application. Correspondingly, for the detailed functional description of each module of the device, please refer to the description in the corresponding method shown above, and will not be described again here.

The embodiment of the present application also provides a possible implementation manner. The drying device in the above embodiment can be an electronic device. The electronic device includes a memory, a processor and a computer program stored in the memory. The processor executes the above-mentioned The computer program implements the steps of a drying control method. Compared with related technologies, the electronic device uses the weight change data of the clothes related to the lifting state of the drying rod to realize the judgment of the behavior of the controlled object, so as to determine the behavior of the controlled object according to the determined behavior of the controlled object. Determine the next steps required for drying equipment.

In an optional embodiment, an electronic device is provided, as shown in Figure 4. The electronic device 4000 shown in Figure 4 includes: a processor 4001 and a memory 4003. Among them, the processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and/or data reception. It should be noted that in practical applications, the number of transceivers 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present application.

The processor 4001 can be a CPU (Central Processing Unit, central processing unit), a general-purpose processor, a DSP (Digital Signal Processor, a data signal processor), an ASIC (Application Specific Integrated Circuit, an application-specific integrated circuit), or an FPGA (Field Programmable Gate Array). , field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with this disclosure. The processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

Bus 4002 may include a path that carries information between the above-mentioned components. The bus 4002 can be a PCI (Peripheral Component Interconnect, Peripheral Component Interconnect Standard) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 4002 can be divided into an address bus, a data bus, a control bus, etc. For ease of presentation, only one thick line is used in Figure 4, but it does not mean that there is only one bus or one type of bus.

The memory 4003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, RAM (Random Access Memory) or other types that can store information and instructions. Dynamic storage devices can also be EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compression Optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage media, other magnetic storage devices, or any other media that can be used to carry or store computer programs and can be read by a computer, without limitation here .

The memory 4003 is used to store computer programs for executing embodiments of the present application, and is controlled by the processor 4001 for execution. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the foregoing method embodiments.

Embodiments of the present application provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be implemented.

Embodiments of the present application also provide a computer program product, including a computer program. When the computer program is executed by a processor, the steps and corresponding contents of the foregoing method embodiments can be implemented.

The terms "first", "second", "third", "fourth", "1", "2", etc. (if present) in the description and claims of this application and the above-mentioned drawings are used for Distinguishes similar objects without necessarily describing a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the application described herein can be practiced in other than the order illustrated or described.

It should be understood that although each operation step is indicated by arrows in the flow chart of the embodiment of the present application, the order of implementation of these steps is not limited to the order indicated by the arrows. Unless otherwise specified herein, in some implementation scenarios of the embodiments of the present application, the implementation steps in each flowchart may be executed in other orders according to requirements. In addition, some or all of the steps in each flowchart are based on actual implementation scenarios and may include multiple sub-steps or multiple stages. Some or all of these sub-steps or stages may be executed at the same time, and each of these sub-steps or stages may also be executed at different times. In scenarios with different execution times, the execution order of these sub-steps or stages can be flexibly configured according to needs, and the embodiments of the present application do not limit this.

The above are only optional implementation modes of some implementation scenarios of the present application. It should be pointed out that for those of ordinary skill in the technical field, without departing from the technical concept of the solution of the present application, adopting solutions based on the technical ideas of the present application Other similar implementation means also fall within the protection scope of the embodiments of this application.

Claims

A drying control method, which is applied to drying equipment, and the drying equipment includes a drying rod for drying clothes. The method includes:

Obtain the weight change data of the clothes related to the lifting state of the drying rod;

Determine the control object behavior implemented for the drying equipment based on the weight change data;

The control operation on the drying equipment is determined based on the behavior of the control object.
The method according to claim 1, wherein said obtaining the weight change data of the clothes related to the lifting state of the drying rod includes:

In response to the descending instruction for the drying pole, the first weight data of the clothes on the drying pole is obtained, and the drying pole is lowered; in response to the rising instruction for the drying pole, when the drying pole rises from the bottom After reaching the top, obtain the second weight data of the clothes on the drying pole; determine the weight change data based on the first weight data and the second weight data;

and / or,

After the drying pole descends to the bottom and before responding to the rising instruction for the drying pole, obtain at least two third weight data of the clothes on the drying pole; determine based on the at least two third weight data The weight change data.
The method according to claim 2, wherein said obtaining the second weight data of the clothes on the drying pole includes:

Acquire multiple weight data on the drying pole in at least one unit time of the preset time period, and calculate the fluctuation difference between the maximum weight data and the minimum weight data in the unit time;

If the fluctuation difference is not greater than the preset third threshold, the second weight data of the clothes on the drying pole is obtained.
The method according to claim 2, wherein the determining the manipulation object behavior implemented for the drying equipment based on the weight change data includes at least one of the following:

If the first change data is not less than the preset first threshold, it is determined that the control object behavior of the drying equipment includes the first behavior of increasing the weight of the clothes on the drying rod;

If the second change data is not less than the preset second threshold, it is determined that the control object behavior of the drying equipment includes a second behavior of reducing the weight of the clothes on the drying rod;

Wherein, determining the weight change data based on the first weight data and the second weight data includes: determining the difference between the second weight data and the first weight data as the first weight data. change data, and/or determine the difference between the first weight data and the second weight data as the second change data.
The method according to claim 4, wherein the determining the manipulation object behavior implemented for the drying equipment based on the weight change data includes:

If the first change data is less than the first threshold, and if the second change data is less than the second threshold, it is determined based on the weight change data determined by the at least two third weight data for the drying. The device-implemented behavior of the manipulated object.
The method according to claim 2 or 5, wherein the third weight data is sorted based on the time of acquisition; the determining the weight change data based on the at least two third weight data includes:

Determine the third weight data sorted first as the baseline data, and perform at least one of the following operations for each third weight data in order from front to back:

If the absolute value of the first difference between the third weight data and the reference data is not less than the preset fourth threshold, the third weight data ranked next is determined as the new reference data, and will be greater than zero. The first difference is determined as the third change data;

If the absolute value of the second difference between the reference data and the third weight data is not less than the preset fifth threshold, the third weight data ranked next is determined as the new reference data, and will be greater than zero. The second difference is determined as the fourth change data.
The method according to claim 6, wherein the determining the manipulation object behavior implemented for the drying equipment based on the weight change data includes at least one of the following:

Calculate a first sum of all third change data, and if the first sum is not less than a preset sixth threshold, determine that the control object behavior for the drying device includes increasing the weight of the clothes on the drying rod. first act;

Calculate a second sum of all the fourth change data, and if the second sum is not less than a preset seventh threshold, determine that the control object behavior for the drying device includes reducing the weight of the clothes on the drying rod. The second act.
The method according to claim 3, wherein the determining the control operation for the drying equipment based on the behavior of the manipulation object includes at least one of the following:

Based on the first behavior, perform a control operation related to drying clothes or issue a prompt message for the control operation;

Based on the second behavior, a control operation related to laundry sorting is performed or a prompt message for the control operation is issued.
A drying control device, wherein the device is applied to drying equipment, the drying equipment includes a drying rod for drying clothes, and the device includes:

An acquisition module, used to acquire the weight change data of the clothes related to the lifting state of the drying rod;

A first determination module, configured to determine the control object behavior implemented for the drying equipment based on the weight change data;

The second determination module is used to determine the control operation of the drying equipment based on the behavior of the control object.
A drying equipment, wherein the drying equipment includes a main control module, a weighing module and a drying rod; wherein,

The weighing module is used to detect the weight data of the clothes on the drying pole and send the weight data to the main control module;

The main control module is used to control the drying equipment to perform the steps of the method described in any one of the above claims 1-8 according to the weight data.
The drying equipment according to claim 10, wherein the drying equipment further includes a communication module, the communication module is connected to a cloud server; wherein,

The main control module is also used to send the detection data obtained by detection to the communication module;

The communication module is used to send the detection data to the cloud server, so that the cloud server performs corresponding operations according to the detection data, and/or is used to perform corresponding operations according to the detection data;

Wherein, the detection data includes weight data.
A computer-readable storage medium on which a computer program is stored, wherein the steps of the method of any one of claims 1-8 are implemented when the computer program is executed by a processor.
A computer program product, including a computer program, wherein when the computer program is executed by a processor, the steps of the method of any one of claims 1-8 are implemented.