Control method of intelligent drying equipment and intelligent drying equipment

Abstract

The invention relates to a control method of intelligent drying equipment and the intelligent drying equipment, and the control method of the intelligent drying equipment comprises the steps: responding to a starting signal of the equipment, reading an environment temperature value of the equipment, obtaining preset time, and generating a starting command; executing a starting command, and detecting a temperature rise value of the equipment within the preset time; according to the environment temperature value and the temperature rising value, the object load capacity in the equipment is judged; and according to the environment temperature value and the load capacity, the drying time is judged. According to the control method of the intelligent drying equipment and the intelligent drying equipment, the drying time of the articles can be intelligently judged, the drying progress can be fed back, manual selection and adjustment of the drying time during use are not needed, and the situation that due to inaccurate judgment of a user, the drying progress is influenced is avoided. And the drying time is too long or the articles cannot be completely dried.

Description

Technical Field

[0001] The present invention relates to the field of electrical appliances, and particularly to a control method for an intelligent drying device and an intelligent drying device. Background Art

[0002] Drying and disinfection devices are widely used in life. For example, baby feeding utensils and supplies, or ordinary tableware, etc. can be dried and disinfected after use for the next use. The drying time of the drying and disinfection device is generally the default time built into the device or manually adjusted by the user during use. However, during use, it is difficult to determine how long it takes for the items placed in the drying and disinfection device to be exactly dried. If the time is set too long, the waiting time is too long and electricity is wasted. If the time is set too short, the items are likely to be not thoroughly dried and disinfected.

[0003] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention discloses a control method for an intelligent drying device and an intelligent drying device.

[0005] The technical solutions adopted in the embodiments of the present invention are as follows: A control method for an intelligent drying device includes the following steps: responding to the start signal of the device, reading the ambient temperature value of the device and obtaining a predetermined time, and generating a start command; executing the start command, and detecting the temperature rise value of the device within the predetermined time; judging the load amount of the items inside the device according to the ambient temperature value and the temperature rise value; judging the drying time according to the ambient temperature value and the load amount.

[0006] A further technical feature thereof is that the predetermined time is a time period during which the device has a constant heating rate after executing the start command.

[0007] A further technical feature thereof is that the determination method of the predetermined time period is as follows: executing the start command under the ambient temperature to be detected and the load amount to be detected; reading the temperature sensor data at the set time interval as the sampling interval; stopping reading after the read temperature sensor data is stable; changing the ambient temperature to be detected and the load amount to be detected, and repeating the above steps until all the ambient temperatures to be detected and the load amounts to be detected are traversed; using the time period with a constant heating rate based on each ambient temperature to be detected and each load amount to be detected as a candidate predetermined time; determining the time interval including each candidate predetermined time period as the predetermined time.

[0008] Its further technical feature is that the load amount is a load level value; the load level value corresponds to the quantity, occupied space ratio, or weight of the items in the device.

[0009] Its further technical feature is that the method for judging the load amount according to the ambient temperature value and the temperature rise value is as follows: based on the three-variable relationship of ambient temperature - load amount - temperature rise value, the load amount is obtained according to the read ambient temperature and the measured temperature rise value; the method for obtaining the three-variable relationship of ambient temperature - load amount - temperature rise value is: set the first target ambient temperature; set the first target load amount, and put the load corresponding to the first target load amount into the drying device; execute the start command, and within a predetermined time, read the data of the temperature sensor and record the temperature rise value; repeat the above steps, for each first target load amount, traverse all ambient temperatures; and traverse all first target load amounts.

[0010] Its further technical feature is that the method for judging the drying time according to the ambient temperature value and the load amount is as follows: based on the three-variable relationship of ambient temperature - load amount - drying time, the drying time is obtained according to the read ambient temperature and the obtained load amount; the method for obtaining the three-variable relationship of ambient temperature - load amount - drying time is: set the second target ambient temperature; set the second target load amount, and put the load corresponding to the second target load amount into the drying device; execute the start command and synchronously start the timer to record the drying completion time; repeat the above steps, for each second target load amount, traverse all second target ambient temperatures; and traverse all second target load amounts.

[0011] Its further technical feature is that the ambient temperature value inside the device cavity and the ambient temperature value outside the device cavity are respectively read, and the lower value is taken as the ambient temperature value of the device.

[0012] Its further technical feature is that the temperature rise value inside the device cavity and the temperature rise value outside the device cavity are respectively read, and the lower value is taken as the temperature rise value of the device.

[0013] An intelligent drying device for implementing the control method of the intelligent drying device described in any one of the above, characterized in that: it includes a cavity surrounded by a housing, a cavity rear plate fixed to the housing, and a door panel assembly fixed to the housing; a rear cover is also fixed to the housing, and there is an installation space between the cavity rear plate and the rear cover; a first temperature sensor is fixed in the cavity, and a second temperature sensor is fixed in the installation space.

[0014] Its further technical feature is that the first temperature sensor is fixed to the top of the cavity; an air inlet hole is provided at the lower part of the rear panel of the cavity, and a first air outlet hole and a second air outlet hole are provided at the upper part of the rear panel of the cavity; the second temperature sensor is fixed at the first air outlet hole or the second air outlet hole.

[0015] The beneficial effects of the embodiments of the present invention are as follows: The control method and the intelligent drying device of the intelligent drying device disclosed in the embodiments of the present invention can intelligently judge the drying time of the article and feedback the drying progress, and do not need to manually select and adjust the drying time during use, avoiding the situation of too long drying time or incomplete drying of the article caused by inaccurate judgment of the user. Description of the Drawings

[0016] Figure 1 is a flowchart of the control method of the intelligent drying device according to the embodiment of the present invention.

[0017] Figure 2 is a flowchart of the method for determining the predetermined time in the embodiment of the present invention.

[0018] Figure 3 is a flowchart of the method for obtaining the relationship among the environmental temperature, the load amount, and the temperature rise value.

[0019] Figure 4 is a flowchart of the method for obtaining the relationship among the environmental temperature, the load amount, and the drying time.

[0020] Figure 5 is a schematic diagram of the intelligent drying device according to the embodiment of the present invention.

[0021] Figure 6 is a schematic diagram of another angle of the intelligent drying device according to the embodiment of the present invention.

[0022] Figure 7 is a structural diagram of the interior of the cavity of the intelligent drying device according to the embodiment of the present invention.

[0023] Figure 8 is a schematic diagram of the installation space of the intelligent drying device according to the embodiment of the present invention.

[0024] Figure 9 is a side view of the intelligent drying device according to the embodiment of the present invention.

[0025] 1. Door handle; 2. Housing; 3. Control panel; 4. Door panel assembly; 5. First temperature sensor; 6. Ultraviolet lamp; 7. Rear panel of the cavity; 7.1 Air inlet hole; 7.2 First air outlet hole; 7.3 Second air outlet hole; 8. Second temperature sensor; 9. Fixed plate; 10. Fan; 11. PTC heating element; 12. Power board; 14. Rear cover; 15. Air inlet cover; 15.1 Air inlet; 16. Power cord. Detailed implementation manners

[0026] The following combines with the attached drawings to illustrate the detailed implementation manners of the present invention.

[0027] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the following further elaborates on the device proposed by the present invention in combination with the attached drawings and detailed implementation manners. According to the following description, the advantages and features of the present invention will be clearer. It should be noted that the attached drawings adopt a very simplified form and all use non-precise scales, only for conveniently and clearly assisting in explaining the objectives of the implementation manners of the present invention. In order to make the objectives, features and advantages of the present invention more obvious and understandable, please refer to the attached drawings. It should be known that the structures, scales, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention. Therefore, they do not have technical essence significance. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effects that the present invention can produce and the objectives that can be achieved, should still fall within the scope covered by the technical content disclosed by the present invention.

[0028] Figure 1 is the control method flowchart of the intelligent drying device in the embodiment of the present invention. As Figure 1 shown, in the embodiment of the present invention, the control method of the intelligent drying device includes the following steps: Step 1: Respond to the start signal of the device, read the environmental temperature value of the device and obtain a predetermined time, and generate a start command.

[0029] The environmental temperature value of the device affects the drying time. When the environmental temperature value is low, the temperature of the cold air passing through the heating and entering the device cavity is relatively low, and the temperature rise in the cavity is slow. At the same time, if the environmental temperature value is low, the temperature inside the cavity itself is also low. Therefore, the time for the temperature in the cavity to rise and reach a stable value is long.

[0030] Furthermore, the predetermined time is the time when the device has a constant heating rate after executing the start command. The predetermined time can be obtained through experimental tests and preset in the device, or can be set to be adjustable by the operator according to needs before the device works.

[0031] Step 2: Execute the start command, and within the predetermined time, detect the temperature rise value of the device.

[0032] The predetermined time can start being calculated immediately following the start command. That is, when the start command is executed and the device starts to work, the predetermined time is immediately calculated. It is also possible to start calculating the predetermined time after a period of time has elapsed after executing the start command. This can control the predetermined time to fall within a period when the temperature rise is relatively stable, excluding a short period of temperature instability at the beginning when the device first starts working.

[0033] Step 3: Based on the ambient temperature value and the temperature rise value, determine the load quantity of the items inside the device.

[0034] Step 4: Based on the ambient temperature value and the load quantity, determine the drying time. The drying time is affected by the load quantity of the items to be dried in the device cavity. The more items that need to be dried, the slower the temperature rises inside the cavity, and the longer the drying time. At the same time, the drying time is also affected by the ambient temperature value.

[0035] The control method of the intelligent drying device mentioned in this embodiment can intelligently determine the time for drying the items and feedback the drying progress according to the required time, without the user having to select the time themselves, avoiding the situation of overly long drying time or incomplete drying of the items due to the user's misjudgment.

[0036] Figure 2 It is a flowchart of the method for determining the predetermined time in the embodiment of the present invention. Optionally, as Figure 2 shown, the method for determining the predetermined time in Steps 1 and 2 is as follows: Step 1-1: Under the ambient temperature to be detected and the load quantity to be detected , execute the start command, where is a natural number, , is the maximum value of is a natural number, , is the maximum value of specific temperature values can be selected as all the ambient temperatures to be detected, and specific load quantities can be selected as all the load quantities to be detected. The selected ambient temperatures to be detected and load quantities to be detected preferably include the ambient temperature range and load range that the device may face in a normal working environment.

[0037] Preferably, start the test from the reference working condition (the lowest ambient temperature to be detected and the lowest load quantity). That is, as Figure 2 shown, initially , . And in each round of detection, first determine whether there is , case

[0038] Step 1-2: Read the temperature sensor data at a predetermined time interval as the sampling interval. For example, the temperature value can be recorded once per second to measure the temperature rise value and determine whether the temperature rise is stable.

[0039] Step 1-3: Stop reading after the read temperature sensor data is stable.

[0040] Change the temperature value of the environment to be detected and the load amount to be detected, that is, change and values, and repeat the above steps 1-1 to 1-3. As shown in Figure 2 , first fix the temperature value of the environment to be detected, and sequentially test all the load amounts to be detected. For each load amount to be detected, repeat the preliminary steps 1-1 to 1-3. Then change the temperature of the environment to be detected, repeat traversing all the load amounts to be detected again, and for each load amount to be detected, repeat the preliminary steps 1-1 to 1-3.

[0041] Based on each temperature value of the environment to be detected and the load amount to be detected, the time period with a constant heating rate is used as the candidate predetermined time. Determine the time interval containing each candidate predetermined time period as the predetermined time.

[0042] The determination of the predetermined time can ensure that when the device works under various environmental temperature conditions, the temperature rise value of the device can be detected within a relatively stable temperature rise time period, so as to determine the device load amount. Preferably, the load amount is a load level value, that is, a natural number. The load level value corresponds to the typical quantity or occupied space ratio of the items in the device to standardize the working conditions and eliminate the interference of device differences.

[0043] Further, in step 3, the method for determining the load amount according to the environmental temperature value and the temperature rise value is based on the three-variable relationship of environmental temperature - load amount - temperature rise value. According to the read environmental temperature value and the measured temperature rise value, the load amount is obtained.

[0044] The three-variable relationship of environmental temperature - load amount - temperature rise value can be specifically obtained through a large number of experiments to obtain a large amount of data and comprehensively sorted out according to big data.

[0045] Figure 3 is the method flowchart for obtaining the three-variable relationship of environmental temperature - load amount - temperature rise value. Figure 3 An optional method for obtaining the three-variable relationship of environmental temperature - load amount - temperature rise value is proposed. As shown in Figure 3 , it includes the following steps: Step 3-1: Set the first target environmental temperature , is a natural number, , is the maximum value.

[0046] Step 3-2: Set the first target load , is a natural number, , is the maximum value, and put the load corresponding to the target load into the drying equipment. The target load is the load level value.

[0047] Step 3-3: Preferably start from the reference condition (the lowest first target ambient temperature and the lowest first target load), that is, , conduct tests. And in each round of detection, first judge whether there is , . Execute the start command, read the temperature sensor data within a predetermined time period, and calculate the temperature rise value.

[0048] Repeat the above steps 3-1 to 3-3, for each target load, traverse all ambient temperatures. And traverse all target loads.

[0049] Table 1 shows the relationship among the three variables of ambient temperature - load - temperature rise value in an embodiment.

[0050] Table 1 Relationship among ambient temperature - load - temperature rise value As shown in Table 1, in this embodiment, obtained through the experimental tests of the previous big data in step 2, within the time period from 2.5 minutes to 5 minutes after the machine starts, the temperature rise is relatively stable. Then within this time period, according to the temperature rise values measured at different ambient temperatures under different load conditions, they are recorded in Table 1. In this embodiment, there are four target ambient temperatures: 15°C, 20°C, 25°C, and 30°C. There are nine load levels, which are respectively represented as natural numbers 1 to 9. For each target ambient temperature and each load, the temperature rise value is measured.

[0051] Then, when the relationship among the ambient temperature, the load amount, and the temperature rise value is stored in the device, the current load amount of the device can be obtained by querying based on the read ambient temperature value of the device during its current operation and the measured temperature rise value. The relationship among the ambient temperature, the load amount, and the temperature rise value can be set to be built into the control chip of the device, or a data port can be opened on the device for users or maintenance personnel to input data into the control chip of the device as needed to adapt to the changing usage conditions of the device.

[0052] In this embodiment, the relationship among the ambient temperature, the load amount, and the temperature rise value is presented in the form of a table. In other alternative embodiments, based on a large amount of experimental data, a fitting formula can also be obtained through linear regression or non-linear regression, and the load amount can be calculated through the fitting formula during the operation of the device.

[0053] Table 1 shows the experimental values of an embodiment. Those skilled in the art can understand that due to different parameters, the selection of the predetermined time period will be different for different models of machines, and specific conclusions need to be drawn based on actual product testing.

[0054] Furthermore, in step 4, the method for determining the drying time based on the ambient temperature value and the load amount is based on the relationship among the ambient temperature, the load amount, and the drying time. The drying time is obtained according to the read ambient temperature value and the measured load amount. The relationship among the ambient temperature, the load amount, and the drying time can be specifically obtained through a large number of experiments to obtain a large amount of data, and then comprehensively sorted out based on big data.

[0055] Figure 4 It is a flowchart of the method for obtaining the relationship among the ambient temperature, the load amount, and the drying time. Figure 4 An optional method for obtaining the relationship among the ambient temperature, the load amount, and the drying time is proposed. As Figure 4 shown, it includes the following steps: Step 4-1: Set the second target ambient temperature , where is a natural number, and is the maximum value of

[0056] Step 4-2: Set the second target load amount , where is a natural number, and is the maximum value of

[0057] Step 4-3: Preferably start from the reference working condition (the lowest second target ambient temperature and the lowest second target load), that is , perform the test. And in each round of detection, first judge whether there is , . Execute the start command, and within a predetermined time, read the data of the temperature sensor and measure the drying time.

[0058] Repeat the above steps 4-1 to 4-3. For each second target load, traverse all second ambient temperatures. And traverse all second target loads.

[0059] Table 2 shows the relationship among the three variables of ambient temperature-load-drying time in an embodiment.

[0060] Table 2 Relationship among the Three Variables of Ambient Temperature-Load-Drying Time Table 2 shows the relationship among the three variables of ambient temperature-load-drying time in an embodiment. As shown in Table 2, for each second target ambient temperature and each second target load, the drying time is measured. Then, when the relationship among the three variables of ambient temperature-load-drying time is stored in the device, the drying time of the device can be queried according to the read ambient temperature value of the current working environment of the device and the measured load.

[0061] In this embodiment, the relationship among the three variables of ambient temperature-load-drying time is presented in the form of a table. In other alternative embodiments, based on a large amount of experimental data, a fitting formula can also be obtained through linear regression or non-linear regression, and the drying time can be calculated through the fitting formula during the working process of the device.

[0062] Furthermore, the ambient temperature value inside the device cavity and the ambient temperature value outside the device cavity can be read respectively, and the lower value is taken as the ambient temperature value of the device. The drying efficiency is affected by the ambient temperature. When the ambient temperature is low, the drying time will increase accordingly. Taking the lower ambient temperature value as the standard can enable the device to determine the drying time when considering the most unfavorable (from the perspective of drying efficiency) ambient temperature factor, so as to more accurately adapt to the actual drying environment.

[0063] Further, read the temperature rise value inside the device cavity and the temperature rise value outside the device cavity respectively, and take the lower value as the temperature rise value of the device. Selecting the lower temperature rise value as the temperature rise value of the device can prevent the device from overestimating the temperature rise rate inside the cavity, avoid insufficient drying time, and affect the drying quality. At the same time, the lower temperature rise value can be used as a safety margin. The actual temperature rise may be interfered by various factors, such as uneven hot air circulation, item placement method, etc. Selecting the lower temperature rise value can make the control logic of the device more robust and avoid stopping heating prematurely, etc.

[0064] Combining Table 1 and Table 2, the calculation processes of Step 3 and Step 4 can be further understood correspondingly. For example, in a specific embodiment, there are the following steps: Step 1': In response to the start signal of the device, read the ambient temperature value of the device and obtain the predetermined time, and generate a start command. At this time, the detected ambient temperature value inside the cavity is 26°C, and the ambient temperature value outside the cavity is 25°C. Select and take the lower value of 25°C as the ambient temperature value of the device. The predetermined time read from the device built-in is 2.5 minutes to 5 minutes after startup.

[0065] Step 2': Execute the start command and detect the temperature rise value of the device within the predetermined time. In the time period from 2.5 minutes to 5 minutes after startup, the temperature rise value inside the device cavity is 7.5°C, and the temperature rise value outside the device cavity is 7.6°C. Then take the smaller value of 7.5°C as the temperature rise value.

[0066] Step 3': According to the ambient temperature value and the temperature rise value, judge the item load inside the device. Query Table 1. According to the ambient temperature value of 25°C and the temperature rise value of 7.5°C of the device, the load is obtained as 5.

[0067] Step 4': According to the ambient temperature value and the load, judge the drying time. Query Table 2. The drying time corresponding to the load of 5 and the ambient temperature value of 25°C is 40 minutes.

[0068] In this way, the device can automatically set a drying time of 40 minutes, and can feedback the remaining working time to the user, and automatically shut down the machine after the time arrives.

[0069] This embodiment also discloses an intelligent drying device, which can be used to implement the control method of the intelligent drying device mentioned above. Figure 5 It is a schematic diagram of the intelligent drying device in the embodiment of the present invention. Figure 6 It is a schematic diagram of the intelligent drying device from another angle in the embodiment of the present invention. As Figure 5 、 Figure 6As shown in the figure, the intelligent drying device includes a housing 2, a door panel assembly 4, and a rear cover 14. A control panel 3 and a door handle 1 are installed on the door panel assembly 4. The control panel 3 can be used to display output signals, such as the drying time, and can also be used to input signals, such as manually inputting relevant control data, etc. An air inlet cover 15 is installed on the rear cover 14, and a power cord 16 is provided.

[0070] Figure 7 This is a schematic diagram of the internal structure of the cavity of the intelligent drying device in the embodiment of the present invention. As Figure 7 shown, the rear cavity plate 7 is fixed in the housing 2 and is located between the door panel assembly 4 and the rear cover 14. The door panel assembly 4, the rear cavity plate 7, and the housing 2 enclose a cavity. There is an air inlet hole 7.1 at the lower part of the rear cavity plate 7, and a first air outlet hole 7.2 and a second air outlet hole 7.3 are provided at the upper part of the rear cavity plate 7. The first temperature sensor 5 is fixed in the cavity and is preferably installed at the top of the cavity. Preferably, an indefinite number of ultraviolet lamps 6 are installed on each surface of the cavity, which can disinfect the load while drying.

[0071] Figure 8 This is a schematic diagram of the installation space of the intelligent drying device in the embodiment of the present invention. Figure 9 This is a side view of the intelligent drying device in the embodiment of the present invention. Combining Figure 8 、 Figure 9 , the rear cavity plate 7, the housing 2, and the rear cover 14 enclose an installation space. The fixing plate 9 is tightly fixed to the rear cavity plate 7 in the installation space. The fan 10, the PTC heating element 11, and the power supply board 12 are all fixed on the fixing plate 9. A second temperature sensor 8 is also fixed in the installation space. The second temperature sensor 8 is preferably installed below the second air outlet hole 7.3 on the fixing plate 9.

[0072] Combined with the control method of the intelligent drying device in the embodiment of the present invention, when the device is running, the first temperature sensor 5 and the second temperature sensor 8 respectively detect the temperature inside the cavity and the ambient temperature outside the cavity, and feedback to the chip on the power supply board 12. The fan 10 starts to work, and the cold air enters through the air inlet 15.1, and then is blown to the heating element 11 by the fan 10. The cold air is heated when passing through the heating element 11. The hot air heated by the heating element 11 enters the device cavity through the air inlet hole 7.1 to dry the items inside the cavity.

[0073] During a predetermined time period, the first temperature sensor 5 and the second temperature sensor 8 read the rising value of the temperature and feedback to the chip on the power supply board 12. According to the control method of the intelligent drying device in the embodiment of the present invention, the working time required to dry the items in the cavity is judged, and the working progress can be fed back to the user through numbers or images on the control panel 3, so that the user can clearly understand the working progress status.

[0074] Furthermore, when the temperature inside the cavity is too high, the first temperature sensor 5 will also control the power supply of the heating element 11 to be cut off through the power supply board 12 to prevent the temperature inside the cavity from being too high. When the temperature inside the cavity drops by a certain value, the first temperature sensor 5 can control the power supply of the heating element 11 to be turned on again through the power supply board 12, so as to keep the temperature inside the cavity at a relatively stable value.

[0075] Since the hot air inside the equipment cavity flows from the lower part to the upper part, the temperature change fluctuation in the upper part of the cavity is generally relatively stable compared to the lower part. Preferably, the temperature sensor 5 is arranged at the rear top of the cavity to make the temperature measurement process and the temperature control process relatively stable. In addition, the hot air in the cavity passes through the items in the lower layer and then to the items in the upper layer, and finally is discharged through the air outlet holes 7.2 and 7.3. The temperature change of the hot air discharged through the air outlet holes is relatively stable compared to the temperature change fluctuations in various parts of the cavity. Therefore, it is preferred that the second temperature sensor 8 is installed between the rear panel 7 of the cavity and the rear cover, which can not only measure the ambient temperature outside the cavity, that is, the indoor temperature, before operation, but also measure the temperature change value of the hot air coming out of the cavity during operation. Of course, the second temperature sensor 8 can be arranged at different positions outside the air outlet hole 7.2 or the air outlet hole 7.3, as long as the hot air blown out of the cavity can pass through the second temperature sensor 8 to facilitate the detection of temperature changes.

[0076] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0077] The above-described embodiments only represent several implementation manners of the present invention, and the description is relatively specific and detailed, but it should not be understood as a limitation to the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent should be subject to the appended claims.

Claims

1. A control method for an intelligent drying device, characterized in that: In response to the start signal of the device, read the ambient temperature value of the device, obtain a predetermined time, and generate a start command; Execute the start command, and within the predetermined time, detect the temperature rise value of the device; Judge the load amount of the items inside the device according to the ambient temperature value and the temperature rise value; Judge the drying time according to the ambient temperature value and the load amount.

2. The control method of the intelligent drying device according to claim 1, wherein The predetermined time is the time period during which the device has a constant heating rate after the start command is executed.

3. The control method of the intelligent drying device according to claim 2, wherein, The determination method of the predetermined time period is as follows: Under the ambient temperature to be detected and the load amount to be detected, execute the start command; Taking the set time interval as the sampling interval, read the temperature sensor data; After the read temperature sensor data is stable, stop reading; Change the ambient temperature to be detected and the load amount to be detected, and repeat the above steps until all the ambient temperatures to be detected and the load amounts to be detected are traversed; Based on each ambient temperature to be detected and each load amount to be detected, the time period with a constant heating rate is used as the candidate predetermined time; Determine the time interval including each candidate predetermined time period as the predetermined time.

4. The control method of the intelligent drying device according to claim 1, characterized in that, The load amount is a load level value; the load level value corresponds to the number of items, the occupied space ratio, or the weight inside the device.

5. The control method of the intelligent drying device according to claim 1, wherein, The method for judging the load amount according to the ambient temperature value and the temperature rise value is to obtain the load amount based on the three-variable relationship of ambient temperature - load amount - temperature rise value according to the read ambient temperature and the measured temperature rise value; the acquisition method of the three-variable relationship of ambient temperature - load amount - temperature rise value is as follows: Set the first target ambient temperature; Set the first target load amount, and put the load corresponding to the first target load amount into the drying device; Execute the start command, and within the predetermined time, read the temperature sensor data and record the temperature rise value; Repeat the above steps, for each first target load amount, traverse all ambient temperatures; and traverse all first target load amounts.

6. The control method of the intelligent drying device according to claim 1, characterized in that, The method for judging the drying time according to the ambient temperature value and the load amount is to obtain the drying time based on the three-variable relationship of ambient temperature - load amount - drying time according to the read ambient temperature and the obtained load amount; the acquisition method of the three-variable relationship of ambient temperature - load amount - drying time is as follows: Set the second target ambient temperature; Set the second target load amount, and put the load corresponding to the second target load amount into the drying device; Execute the start command and synchronously start the timer to record the drying completion time; Repeat the above steps, for each second target load amount, traverse all second target ambient temperatures; and traverse all second target load amounts.

7. The control method of the intelligent drying device according to claim 1, wherein, Read the ambient temperature value inside the device cavity and the ambient temperature value outside the device cavity respectively, and take the lower value as the ambient temperature value of the device.

8. The control method of the intelligent drying device according to claim 1, characterized in that Read the temperature rise value inside the device cavity and the temperature rise value outside the device cavity respectively, and take the lower value as the temperature rise value of the device.

9. An intelligent drying device for performing the control method of the intelligent drying device according to any one of claims 1 to 8, characterized in that: It includes a cavity surrounded by a housing, a cavity rear plate fixed to the housing, and a door panel assembly fixed to the housing; a rear cover is also fixed to the housing, and there is an installation space between the cavity rear plate and the rear cover; a first temperature sensor is fixed in the cavity, and a second temperature sensor is fixed in the installation space.

10. The intelligent drying device according to claim 9, characterized in that, The first temperature sensor is fixed to the top of the cavity; an air inlet hole is provided at the lower part of the cavity rear plate, and a first air outlet hole and a second air outlet hole are provided at the upper part of the cavity rear plate; the second temperature sensor is fixed at the first air outlet hole or the second air outlet hole.

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