Automatic towel vending device and data analysis method thereof

Abstract

The present invention relates to the technical field of towel vending machines, and solves the technical problem that the prior art cannot accurately predict and detect the remaining amount of towels in real time. In particular, it relates to an automatic towel vending device and a data analysis method thereof. The device comprises a shell and a towel roll, wherein the towel roll is fixed on a freely rotatable rotating shaft inside the shell, and the protruding end of the towel roll protrudes from a rectangular hole opened on the side wall of the shell. A power mechanism for moving the protruding end of the towel roll outward is provided inside the shell, and a drying mechanism for keeping the towel roll dry is provided below the power mechanism. A rectangular platform for fixing a QR code is provided on the outside of the shell. The present invention predicts the remaining thickness of the towels by establishing a fitting curve and optimizing the fitting curve, so that staff can replenish the towels in time, greatly improving the work efficiency of filling towels, and at the same time enhancing the user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of towel vending machines, and in particular to an automatic towel vending device and a data analysis method thereof. Background Art

[0002] A towel vending machine is a device that can automatically dispense towels based on the amount of coins inserted or the payment made by scanning a code. Automatic towel vending machines are commonly used equipment for towel commercial automation. They are not restricted by time or location, can save manpower, and facilitate transactions. They are a new form of towel commercial retail. Existing towel vending machines mainly use roll-type towels, which need to be replenished with roll-type towels at regular intervals. The existing technology generally monitors a preset thickness through an infrared sensor. When this thickness is reached, the sensor will send a signal to remind the staff to replenish the towels. However, in actual use, due to the influence of the number of users and frequency, the speed of towel usage is prone to increase significantly. The existing technology cannot accurately predict and detect the remaining amount of towels in real time, resulting in the staff being unable to fill the towel vending machine with towels in a timely and accurate manner, making the work efficiency of filling towels low and seriously affecting the customer's experience. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention provides a towel vending device and a data analysis method thereof, which solves the technical problem that the existing technology cannot accurately predict and detect the remaining amount of towels in real time, and achieves the purpose of accurately predicting and detecting the remaining amount of towels in real time.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a towel vending device, comprising a shell and a towel roll, wherein the towel roll is fixed on a freely rotatable rotating shaft inside the shell, and the protruding end of the towel roll protrudes from a rectangular hole opened on the side wall of the shell, and a power mechanism for moving the protruding end of the towel roll outward is provided inside the shell, and a drying mechanism for keeping the towel roll dry is provided below the power mechanism, and a rectangular platform for fixing a QR code is provided on the outside of the shell.

[0005] Preferably, the power mechanism includes a detector fixedly connected to the inside of the shell for measuring the remaining amount of the towel roll, a servo motor is fixedly connected below the detector, the rotating end of the servo motor is connected to two mutually meshing clamping rollers through gear meshing, and a sawtooth for cutting the towel roll is fixedly connected to the rectangular hole below the clamping roller.

[0006] Preferably, the drying mechanism includes a dryer fixedly connected to the bottom side of the shell, a drying hole for drying and ventilation is opened on the back side of the shell, and a processor is arranged inside the shell.

[0007] Preferably, a concave towel-taking space is provided at the bottom of the rectangular hole.

[0008] The technical solution also provides a data analysis method applied to a towel vending device, the method comprising the following steps:

[0009] S1, obtain at any time through the detector The actual thickness of the towel after it is sold ;

[0010] S2. Establish at any time is the X-axis coordinate and actual thickness The consumption curve of the Y-axis coordinate ;

[0011] S3. Obtain consumption curve based on past data of towel vending machines Correction rate , for the consumption curve Optimize and get the optimization curve ;

[0012] S4. According to the optimization curve Determine at the prediction time Predicted thickness , and according to the predicted thickness Send a restocking reminder to the back-office of the towel vending machine.

[0013] Preferably, in step S1, the specific implementation steps are as follows:

[0014] S11. Obtain the spatial distance from the detector to the rotating shaft through the detector , and obtain the time at any moment through the timing program stored in the processor ;

[0015] S12, rotate the rolled towel installed on the shaft, and pass the detector at any time The distance from the detector to the cylindrical surface of the towel Perform multiple collections to obtain the distance set , ;

[0016] S13, the distance set is corrected by the mean correction method Correct the outliers in the distance set to obtain the corrected distance set ;

[0017] S14, use interpolation method to calculate the distance set Perform data filling and obtain preprocessing distance set ;

[0018] S15. Calculate the actual thickness of the towel , the calculation formula is:

[0019]

[0020] in, Indicates the actual thickness of the towel, Indicates spatial distance, Indicates the Preprocessing distance, Represents the preprocessing distance The number of

[0021] Preferably, in step S2, the specific implementation steps are as follows:

[0022] S21. Establish at any time The horizontal axis is the actual thickness is the two-dimensional coordinate system with the vertical axis;

[0023] S22, multiple groups of arbitrary moments and the corresponding actual thickness It is expressed in the form of several coordinate points in a two-dimensional coordinate system;

[0024] S23. Obtain an initial consumption curve based on several coordinate points , consumption curve The expression is:

[0025]

[0026] in, Indicates the actual thickness of the towel, 、 and represents the initial coefficient.

[0027] Preferably, in step S3, the specific implementation steps are as follows:

[0028] S31. Obtain the past data of the towel vending machine and obtain the consumption curve by the step-by-step reduction method. Correction rate , where the past data includes multiple sets of detection times recorded by the towel vending machines in the past and the corresponding actual thickness , correction rate ;

[0029] S32: Determine the detection time based on the usage time of the towel vending device , and obtain the detection time The actual thickness of the towel ;

[0030] S33, the detection time Substitute into the consumption curve The predicted thickness is obtained from ;

[0031] S34. Calculate the gap value , the calculation formula is:

[0032]

[0033] in, Indicates the gap value, Indicates the actual thickness, Indicates the predicted thickness;

[0034] S35, according to the gap value Consumption curve Optimize;

[0035] like , then the initial coefficient is adjusted positively and the process returns to step S31;

[0036] like , then the end and get the optimization curve ;

[0037] like , then the initial coefficient is adjusted negatively and the process returns to step S31.

[0038] Preferably, the specific steps for implementing the forward adjustment are as follows:

[0039] S351, calculate the correction coefficient and , the calculation formula is:

[0040]

[0041]

[0042]

[0043] in, 、 and represents the initial coefficient;

[0044] S352, the consumption curve The initial coefficients in 、 and Replace with correction factor and .

[0045] 9. Preferably, the specific steps for implementing the negative adjustment are as follows:

[0046] S353, calculation coefficient and , the calculation formula is:

[0047]

[0048]

[0049]

[0050] in, represents the correction rate;

[0051] S354, the consumption curve The initial coefficients in 、 and Replace with correction factor and .

[0052] Preferably, in step S4, the specific implementation steps are as follows:

[0053] S41, based on the optimization curve Determine the prediction moment Predicted thickness ;

[0054] S42. Preset risk value based on past data of towels , according to the predicted thickness and risk value Generate restocking reminders;

[0055] like N , then there is no risk, end and return to step S41;

[0056] like , a replenishment reminder is generated and the process ends.

[0057] By means of the above technical solution, the present invention provides a towel vending device and a data analysis method thereof, which have at least the following beneficial effects:

[0058] 1. The present invention preprocesses the actual thickness of the towel at any time, thereby increasing the continuity of multiple actual thickness data obtained at consecutive time points, reducing the probability of missing actual thickness data, and thus improving the accuracy of the actual thickness data of the towel, making the calculation results of subsequent steps more accurate and reducing the calculation error of the data.

[0059] 2. The present invention establishes a fitting curve of the actual thickness at any time and optimizes the fitting curve, so that the remaining thickness of the towel can be predicted according to the optimized curve, and the predicted thickness is obtained in real time. The prediction result is sent to the staff, so that the staff can replenish the towels in a timely and accurate manner according to the prediction result, which greatly improves the work efficiency of filling towels and enhances the user experience.

[0060] 3. The present invention can obtain towels more quickly and conveniently through the power mechanism combined with the drying mechanism, and ensure the dryness of the stored towels. Combined with the use of QR codes, the convenience of the vending machine can be greatly improved. At the same time, the towel-taking space allows users to pull out and cut towels more comfortably, increasing the comfort of using the vending machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0062] Figure 1 This is a three-dimensional structural diagram of a towel vending device of the present invention;

[0063] Figure 2 This is a three-dimensional structural diagram of the interior of the housing of the present invention;

[0064] Figure 3 It is a three-dimensional structural diagram of the power structure of the present invention;

[0065] Figure 4 This is a three-dimensional structural diagram of the housing of the present invention when viewed from above;

[0066] Figure 5 This is a three-dimensional structural diagram of the housing of the present invention from the back side perspective;

[0067] Figure 6 This is a flow chart of a data analysis method for a towel vending device according to the present invention;

[0068] Figure 7 The consumption curve of the present invention and optimization curve Schematic diagram of .

[0069] In the figure: 1. Shell; 11. Rotating shaft; 12. Rectangular hole; 13. Space for taking out towels; 2. Rectangular platform; 3. Towel roll; 4. Power mechanism; 41. Detector; 42. Servo motor; 43. Clamping roller; 44. Saw teeth; 5. Drying mechanism; 51. Dryer; 52. Drying hole. DETAILED DESCRIPTION

[0070] To make the above-mentioned objectives, features, and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. This will enable a full understanding of how the present application employs technical means to solve technical problems and achieve technical effects, and to implement the invention accordingly.

[0071] Example 1

[0072] Since the installed towel cannot get the real-time remaining amount and is easily affected by moisture, which leads to poor user experience, please refer to Figure 1 - Figure 7 The present embodiment provides a towel vending device that can detect the remaining amount of towels in real time and solve the problem of moisture, thereby improving the user experience. The device includes a shell 1 and a towel roll 3. The towel roll 3 is fixed on a freely rotatable shaft 11 inside the shell 1. The protruding end of the towel roll 3 extends from a rectangular hole 12 opened on the side wall of the shell 1. A power mechanism 4 for moving the protruding end of the towel roll 3 outward is provided inside the shell 1. A drying mechanism 5 for keeping the towel roll 3 dry is provided below the power mechanism 4. A rectangular platform 2 for fixing a QR code is provided on the outside of the shell 1. The mechanism 4 includes a detector 41 fixedly connected to the inside of the shell 1 for measuring the remaining amount of the towel roll 3, a servo motor 42 is fixedly connected below the detector 41, and the rotating end of the servo motor 42 is connected to two mutually meshing clamping rollers 43 through gear meshing. A sawtooth 44 for cutting the towel roll 3 is fixedly connected to the rectangular hole 12 below the clamping roller 43. The drying mechanism 5 includes a dryer 51 fixedly connected to the bottom side of the shell 1, a drying hole 52 for drying and ventilation is opened on the back side of the shell 1, a processor is arranged inside the shell 1, and a concave towel-taking space 13 is opened at the bottom of the rectangular hole 12.

[0073] In the present invention, towels are provided to users by a towel roll 3 fixed on a rotating shaft 11, the free end of the towel is clamped by a clamping roller 43 of a power mechanism 4, and driven and controlled by a servo motor 42. During use, a detector 41 is used to detect the remaining amount of the towel roll in real time. Since the remaining amount of the towel roll 3 is closely positively correlated with the thickness of the towel roll, the remaining amount of the towel roll 3 can be obtained by detecting the thickness of the towel roll by the detector 41. The housing 1 can provide a closed space for the towel roll 3. The free end of the towel roll 3 extends from the rectangular hole 12. When the user obtains a towel that is long enough, the towel is cut by the saw teeth 44 on the rectangular hole 12. Since towels are generally used in places with high humidity, the present invention dries the towel roll 3 through the drying mechanism 5, dries the towel roll 3 inside the shell 1 through the dryer 51, and discharges the dry air outward through the drying hole 52. The towel taking space 13 is set to an inclined concave shape, so the user can tear the towel comfortably and conveniently when cutting it. The power mechanism is combined with the drying mechanism to obtain the towel more quickly and conveniently, and ensure the dryness of the stored towel. Combined with the use of the QR code, the convenience of the vending machine can be greatly improved. At the same time, the towel taking space allows the user to pull out and cut the towel more comfortably, which increases the comfort of using the vending machine.

[0074] Example 2

[0075] Since the existing technology cannot accurately predict the remaining amount of towels, please refer to Figure 6 and Figure 7 This embodiment provides a data analysis method for a towel vending device, which can accurately predict the remaining amount of towels. The specific steps of the method are as follows:

[0076] S1, obtain at any time through the detector The actual thickness of the towel after it is sold ; Get the actual thickness of the towel through the detector This can facilitate the analysis of the subsequent steps of the data, not only to obtain the real-time remaining amount of towels, but also to predict the usage of towels. Here, the remaining thickness of the towels is used to represent the remaining amount of towels. In step S1, the specific implementation steps are as follows:

[0077] S11. Obtain the spatial distance from the detector to the rotating shaft through the detector , and obtain the time at any moment through the timing program stored in the processor ; This step first obtains the space distance before the roll towel is installed , and use the timing program to get any time , the timing program can realize the function of the electronic clock through C language, because only the timing program is needed to obtain any time , no other steps are required, so I will not go into details here.

[0078] S12, rotate the rolled towel installed on the shaft, and pass the detector at any time The distance from the detector to the cylindrical surface of the towel Perform multiple collections to obtain the distance set , ; Obtain the distance from the outer surface of the towel to the detector after the towel is installed through the detector Due to the uneven surface of the towel, it is necessary to collect multiple data to reduce the data error.

[0079] S13, the distance set is corrected by the mean correction method Correct the outliers in the distance set to obtain the corrected distance set ; for distance set Correcting abnormal data can make the data more accurate.

[0080] S14, use interpolation method to calculate the distance set Perform data filling and obtain preprocessing distance set ; Since missing data is prone to occur in continuously acquired data, this problem can be directly solved by interpolation. Other steps are not described in detail here.

[0081] S15. Calculate the actual thickness of the towel , the calculation formula is:

[0082]

[0083] in, Indicates the actual thickness of the towel. Indicates spatial distance, Indicates the Preprocessing distance, Represents the preprocessing distance The number of Subtract the preprocessing distance set The average value of the actual thickness of the towel can be obtained By preprocessing the actual thickness of the towel at any moment, the continuity of multiple actual thickness data obtained at consecutive time points is increased, the probability of missing actual thickness data is reduced, and the accuracy of the actual thickness data of the towel is improved, making the calculation results of subsequent steps more accurate and reducing the calculation error of the data.

[0084] S2. Establish at any time is the X-axis coordinate and actual thickness The consumption curve of the Y-axis coordinate In the actual use of the towel vending machine, it is necessary not only to obtain the actual remaining amount of towels, but also to make a certain prediction of the remaining amount to ensure that the staff can replenish the towels in time. In step S2, the specific implementation steps are as follows:

[0085] S21. Establish at any time The horizontal axis is the actual thickness The two-dimensional coordinate system with the vertical axis as the axis; by establishing the two-dimensional coordinate system, it is possible to obtain the and actual thickness The fitting curve between .

[0086] S22, multiple groups of arbitrary moments and the corresponding actual thickness It is expressed in the form of several coordinate points in a two-dimensional coordinate system;

[0087] S23. Obtain an initial consumption curve based on several coordinate points , consumption curve The expression is:

[0088]

[0089] in, Indicates the actual thickness of the towel. 、 and Indicates the initial coefficient, consumption curve It is a monotonically decreasing wave-like function graph, which shows that the actual thickness of the towel decreases periodically and is affected by the number of people using it at a specific time. It is also possible to obtain data on the times and locations where more people use the machine, which can be used to further analyze the towel vending machine. By fitting the curve, the usage of towels can be predicted, and the refilling of towels can be prepared in advance, thereby improving the work efficiency of the staff.

[0090] S3. Obtain consumption curve based on past data of towel vending machines Correction rate , for the consumption curve Optimize and get the optimization curve ; Due to the consumption curve The curve initially fitted by the coordinate points is not accurate enough and has large deviations that affect normal analysis. Therefore, the consumption curve needs to be adjusted. To optimize, in step S3, the specific implementation steps are as follows:

[0091] S31. Obtain the past data of the towel vending machine and obtain the consumption curve by the step-by-step reduction method. Correction rate , where the past data includes multiple sets of detection times recorded by the towel vending machines in the past and the corresponding actual thickness , correction rate ; The step-by-step reduction method is a common method for obtaining the correction rate. We only need to use the step-by-step reduction method to obtain the correction rate we want, so we will not go into details here. Ability to analyze consumption curve Make small corrections to make the consumption curve Ability to make more accurate predictions, correction rate The initial value can be set to 0 and gradually determined in the optimization of subsequent steps. The error of the image is small, so the correction rate The range should not be greater than 0.5, so set the correction rate , the correction rate in actual operation The optimal value is 0.316.

[0092] S32: Determine the detection time based on the usage time of the towel vending device , and obtain the detection time The actual thickness of the towel ;

[0093] S33, the detection time Substitute into the consumption curve The predicted thickness is obtained from ; Through the consumption curve Get predicted thickness is inaccurate, so you need to know the predicted thickness The error between the actual value and the

[0094] S34. Calculate the gap value , the calculation formula is:

[0095]

[0096] in, Indicates the gap value, Indicates the actual thickness, Indicates the predicted thickness;

[0097] S35, according to the gap value Consumption curve Optimize;

[0098] like , then the initial coefficient is adjusted positively and the process returns to step S31;

[0099] like , then the end and get the optimization curve ;

[0100] like , then the initial coefficient is adjusted negatively and the process returns to step S31;

[0101] The specific steps for implementing positive adjustments are as follows:

[0102] S351, calculate the correction coefficient and , the calculation formula is:

[0103]

[0104]

[0105]

[0106] in, 、 and represents the initial coefficient;

[0107] S352, the consumption curve The initial coefficients in 、 and Replace with correction factor and ;

[0108] The specific steps for implementing negative adjustments are as follows:

[0109] S353, calculation coefficient and , the calculation formula is:

[0110]

[0111]

[0112]

[0113] in, represents the correction rate;

[0114] S354, the consumption curve The initial coefficients in 、 and Replace with correction factor and , by comparing the gap values Size can affect the consumption curve Accurately optimize, so that the optimization curve The accuracy is improved by establishing a fitting curve of the actual thickness at any time and optimizing the fitting curve, so that the remaining thickness of the towel can be predicted according to the optimized curve, and the predicted thickness can be obtained in real time. The prediction results are sent to the staff, so that the staff can replenish the towels in a timely and accurate manner according to the prediction results, which greatly improves the work efficiency of filling towels and enhances the user experience.

[0115] S4. According to the optimization curve Determine at the prediction time Predicted thickness , and according to the predicted thickness Send a replenishment reminder to the background of the towel vending device, and use the obtained optimization curve Determine the time when prediction is required and get the predicted thickness , according to the predicted thickness The size of the towel can be used to know when the towels are used up and give a replenishment reminder. In step S4, the specific implementation steps are as follows:

[0116] S41, based on the optimization curve Determine the prediction moment Predicted thickness ;

[0117] S42. Preset risk value based on past data of towels , according to the predicted thickness and risk value Generate restocking reminders;

[0118] like N , then there is no risk, end and return to step S41;

[0119] like , then generate replenishment reminder and end, risk value This is a small amount of towels remaining. If the remaining amount is lower than this, it is easy to cause the problem that the towels are used up and the user cannot get towels. and risk value The comparison can enable the staff to arrange the work of filling towels reasonably and fill the towel vending machine in time, which improves the work efficiency of filling towels and greatly improves the user experience, avoiding the problem of no towels to provide to users.

[0120] Those skilled in the art will appreciate that all or part of the steps in the above-described embodiment methods can be accomplished by programming related hardware. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0121] The above embodiments provide a detailed introduction to the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A towel vending device, comprising a housing (1) and a towel roll (3), wherein the towel roll (3) is fixed on a freely rotatable shaft (11) inside the housing (1), and an extended end of the towel roll (3) extends from a rectangular hole (12) provided on a side wall of the housing (1), characterized in that: A power mechanism (4) for moving the extended end of the towel roll (3) outward is provided inside the housing (1); a drying mechanism (5) for keeping the towel roll (3) dry is provided below the power mechanism (4); and a rectangular platform (2) for fixing a QR code is provided outside the housing (1); The power mechanism (4) comprises a detector (41) fixedly connected to the inside of the housing (1) for measuring the remaining amount of the towel roll (3); a servo motor (42) is fixedly connected below the detector (41); a rotating end of the servo motor (42) is connected to two mutually meshing clamping rollers (43) through gear meshing; a sawtooth (44) for cutting the towel roll (3) is fixedly connected to the rectangular hole (12) below the clamping roller (43); The data analysis method applied to the towel vending device comprises the following steps: S1, obtain at any time through the detector The actual thickness of the towel after it is sold ; S2. Establish at any time is the X-axis coordinate and actual thickness The consumption curve of the Y-axis coordinate ; S3. Obtain consumption curve based on past data of towel vending machines Correction rate , for the consumption curve Optimize and get the optimization curve , the specific implementation steps are as follows: S31. Obtain the past data of the towel vending machine and obtain the consumption curve by the step-by-step reduction method. Correction rate , where the past data includes multiple sets of detection times recorded by the towel vending machines in the past and the corresponding actual thickness , correction rate ; S32: Determine the detection time based on the usage time of the towel vending device , and obtain the detection time The actual thickness of the towel ; S33, the detection time Substitute into the consumption curve The predicted thickness is obtained from ; S34. Calculate the gap value , the calculation formula is: in, Indicates the gap value, Indicates the actual thickness, Indicates the predicted thickness; S35, according to the gap value Consumption curve Optimize; like , then the initial coefficient is adjusted positively and the process returns to step S31; like , then the end and get the optimization curve ; like , then the initial coefficient is adjusted negatively and the process returns to step S31; S4. According to the optimization curve Determine at the prediction time Predicted thickness , and according to the predicted thickness Send a restocking reminder to the back-office of the towel vending machine.

2. The towel vending device according to claim 1, characterized in that: The drying mechanism (5) comprises a dryer (51) fixedly connected to the bottom side of the shell (1), a drying hole (52) for drying and ventilation is provided on the back side of the shell (1), and a processor is provided inside the shell (1).

3. The towel vending device according to claim 1, characterized in that: A concave towel-taking space (13) is provided at the bottom of the rectangular hole (12).

4. The towel vending device according to claim 1, characterized in that: In step S1, the specific implementation steps are as follows: S11. Obtain the spatial distance from the detector to the rotating shaft through the detector , and obtain the time at any moment through the timing program stored in the processor ; S12, rotate the rolled towel installed on the shaft, and pass the detector at any time The distance from the detector to the cylindrical surface of the towel Perform multiple collections to obtain the distance set , ; S13, the distance set is corrected by the mean correction method Correct the outliers in the distance set to obtain the corrected distance set ; S14, use interpolation method to calculate the distance set Perform data filling and obtain preprocessing distance set ; S15. Calculate the actual thickness of the towel , the calculation formula is: in, Indicates the actual thickness of the towel, Indicates spatial distance, Indicates the Preprocessing distance, Represents the preprocessing distance The number of 5. The towel vending device according to claim 1, characterized in that: In step S2, the specific implementation steps are as follows: S21. Establish at any time The horizontal axis is the actual thickness is the two-dimensional coordinate system with the vertical axis; S22, multiple groups of arbitrary moments and the corresponding actual thickness It is expressed in the form of several coordinate points in a two-dimensional coordinate system; S23. Obtain an initial consumption curve based on several coordinate points , consumption curve The expression is: in, Indicates the actual thickness of the towel, 、 and represents the initial coefficient.

6. The towel vending device according to claim 1, characterized in that: In step S35, the specific steps for implementing the forward adjustment are as follows: S351, calculate the correction coefficient and , the calculation formula is: in, 、 and represents the initial coefficient; S352, the consumption curve The initial coefficients in 、 and Replace with correction factor and .

7. The towel vending device according to claim 1, characterized in that: In step S35, the specific steps for implementing the negative adjustment are as follows: S353, calculation coefficient and , the calculation formula is: in, represents the correction rate; S354, the consumption curve The initial coefficients in 、 and Replace with correction factor and .

8. The towel vending device according to claim 1, characterized in that: In step S4, the specific implementation steps are as follows: S41, based on the optimization curve Determine the prediction moment Predicted thickness ; S42. Preset risk value based on past data of towels , according to the predicted thickness and risk value Generate restocking reminders; like N , then there is no risk, end and return to step S41; like , a replenishment reminder is generated and the process ends.

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