Method for obtaining drying and cooling time and washing machine

Abstract

The present invention discloses a method for obtaining the drying and cooling time and a washing machine, which includes the steps of: obtaining temperature parameters at multiple sampling time points within a preset duration after the start of drying and cooling; calculating a screening function and a function to be fitted through the sampling time points and the temperature parameters; screening the function to be fitted that meets the conditions through the screening function; and then performing fitting to obtain a drying and cooling curve function. The present invention collects data in the initial stage of drying and cooling, obtains a screening function through the collected data, and screens valid data through the screening function. Multiple curves are obtained through the valid data. An accurate drying and cooling curve is fitted by combining the obtained multiple curves with corresponding reasonable ratios. Finally, the drying and cooling time is obtained by setting the drying and cooling end temperature and combining the fitted drying and cooling curve, and the drying and cooling end time is displayed on the display board, which is less affected by factors such as the environment and the working conditions of the whole machine, and the calculated drying and cooling time is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of washing machines, and particularly to a method for obtaining drying and cooling time and a washing machine. Background Art

[0002] Currently, after the drying of a washing and drying machine is completed, there is a cooling process. The door will only open when the temperature inside the tub drops to meet the door opening condition. For some washing and drying machines, due to inaccurate judgment of the cooling time, there will be multiple time jumps or the time remains unchanged; for example, during the cooling stage of the washing and drying machine, when the remaining time runs from t1 (t1>1) to 1 minute, if the temperature inside the tub is too high to meet the door opening condition at this time, the remaining time will jump to t2 (t2>1) and start counting down again, or it will stay at the displayed 1 minute until the drying and cooling stage ends and meets the door opening condition before opening the door. This approach with uncertain time will make users wait fruitlessly for a long time, bringing a very poor user experience. Summary of the Invention

[0003] In order to solve the technical problem of inaccurate drying and cooling time in the above-mentioned prior art, the present invention proposes a method for obtaining drying and cooling time and a washing machine.

[0004] The technical solution adopted by the present invention is as follows:

[0005] The present invention proposes a method for obtaining drying and cooling time, including the steps of:

[0006] Obtaining temperature parameters at multiple sampling time points within a preset duration after the start of drying and cooling;

[0007] Selecting some sampling time points close to the cut-off time point of the preset duration and the corresponding temperature parameters to calculate a screening function;

[0008] Selecting multiple temperature parameters and the corresponding sampling time points according to a preset selection rule to calculate multiple functions to be fitted;

[0009] Screening to obtain multiple functions to be fitted that meet the conditions through the screening function and a preset screening condition;

[0010] Fitting multiple functions to be fitted that meet the conditions according to a preset fitting rule to obtain a drying and cooling curve function and calculate the drying and cooling duration.

[0011] Specifically, the specific steps of selecting multiple sampling time points close to the cut-off time point of the preset duration and the corresponding temperature parameters to calculate the screening function are as follows:

[0012] Sorting all the temperature parameters in the order of sampling time, selecting the last z + 2 temperature parameters and the sampling time points corresponding to each temperature parameter, where z > 2;

[0013] Select z groups of parameter sets in sequence from z + 2 temperature parameters. Each group of parameter sets contains 3 temperature parameters adjacent in time and the corresponding 3 sampling time points. One curve function can be calculated for each group of parameter sets, and z sequentially sorted curve functions F(x) are obtained, where x is time and F(x) is temperature.

[0014] Derive the curve slope function F'(x) for each curve function F(x), and determine whether the obtained multiple curve slope functions F'(x) meet the preset conditions. If so, use the mean filtering algorithm for the multiple curve slope functions F'(x) to obtain the screening function.

[0015] If not, delete the last one or more sampling point time points within the preset duration and their corresponding temperature parameters, and return to the step of sorting all temperature parameters in the order of sampling time.

[0016] Further, the preset conditions are specifically as follows: The absolute values of the slope values obtained by substituting the sequentially sorted curve slope functions F'(x) into the corresponding time x decrease in sequence, and each slope value is less than 0. The value of x substituted into each slope function F'(x) is the average value of the 3 sampling time points in the parameter set for obtaining the slope function F'(x).

[0017] Specifically, the calculation of multiple functions to be fitted by selecting multiple temperature parameters and the corresponding sampling time points specifically includes the following steps:

[0018] Select n + 2 sampling time points and the corresponding temperature parameters within the preset duration, where n > 2.

[0019] Select n groups of parameter sets in sequence from the n + 2 temperature parameters in the order of sampling time. Each group of parameter sets contains 3 temperature parameters adjacent in time and 3 corresponding sampling time points. One curve function can be obtained for each group of parameter sets, and n sequentially sorted curve functions f(x) are obtained; the curve function f(x) is the function to be fitted.

[0020] Specifically, the screening of multiple qualified functions to be fitted through the screening function and the preset screening conditions specifically includes the following steps:

[0021] Derive n sequentially sorted curve slope functions f'(x) for the n sequentially sorted curve functions f(x).

[0022] The n slope values sorted in sequence obtained by substituting n successively sorted curve slope functions f'(x) into the corresponding time x, the screening slope value obtained by substituting the screening function into the corresponding time x, eliminating the curve slope functions f'(x) corresponding to the slope values greater than 0, eliminating the curve slope functions f'(x) corresponding to the absolute value of the slope value in the sorting being greater than the previous value, eliminating the curve slope functions f'(x) corresponding to the absolute value of the slope value being less than the absolute value of the screening slope value, and the curve function f(x) corresponding to the remaining curve slope functions f'(x) corresponding to the slope values is the to-be-fitted function meeting the conditions.

[0023] Specifically, the fitting of multiple to-be-fitted functions meeting the conditions according to the preset fitting rules is specifically as follows:

[0024] Obtain the number of to-be-fitted functions, set a proportional parameter for each to-be-fitted function, and the sum of all proportional parameters is 1;

[0025] Multiply each to-be-fitted function by the corresponding proportional parameter and sum to obtain the drying and cooling curve function.

[0026] Further, the later the sampling time point corresponding to the to-be-fitted function is obtained, the larger the value of the corresponding proportional parameter.

[0027] Specifically, the selection of multiple temperature parameters and corresponding sampling time points according to the preset selection rules specifically includes the steps of: selecting multiple sampling time points and corresponding temperature parameters according to the preset time interval.

[0028] Specifically, the preset duration is less than the drying and cooling duration initially judged by the system.

[0029] The present invention also proposes a washing machine, which calculates the drying and cooling duration by using the above method for obtaining the drying and cooling time.

[0030] Compared with the prior art, the present invention collects data in the initial stage of drying and cooling, obtains the screening function through the collected data, and screens the valid data through the screening function. Obtain multiple curves through the valid data. Fit an accurate drying and cooling curve through the multiple obtained curves with corresponding reasonable proportions. Finally, obtain the drying and cooling time by setting the drying and cooling end temperature and combining the fitted drying and cooling curve, and then display the drying and cooling end time on the display board to give the user an accurate drying and cooling end time. It is less affected by factors such as the environment and the overall machine working conditions, and the calculated drying and cooling time is more accurate. Description of the Drawings

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for use in the embodiments or the description of the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0032] Figure 1 It is a flowchart of the present invention.

[0033] Figure 2 It is a flowchart of a specific embodiment of the present invention. Specific embodiments

[0034] In order to make the technical problems to be solved, technical solutions and beneficial effects of the present invention more clearly understood, the following further details the present invention in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0035] The following details the principle and structure of the present invention in conjunction with the accompanying drawings and embodiments.

[0036] After the drying of the washing machine (dryer) is completed, there will be a cooling process. Only when the temperature in the tub drops to meet the door-opening condition, the door of the washing machine will be automatically unlocked and in an openable state. However, the existing washing machines judge the cooling time inaccurately, and there will be multiple time jumps or the time remains unchanged. For example, when the washing machine runs to the last minute during the cooling stage, if the temperature in the tub is too high to meet the door-opening condition, the remaining time displayed on the display panel of the washing machine will automatically jump and start a new countdown, or display 1 minute remaining, until the drying and cooling stage ends and meets the door-opening condition to open the door. This uncertain time approach will make users wait for a long time without result, resulting in a poor user experience. In response to this, the present invention proposes a method for obtaining the drying and cooling time, which can directly obtain the accurate drying end time of the washing machine (dryer) during the dehumidification stage of the drying and cooling of the washing machine, improving the user experience.

[0037] As Figure 1 shown, the present invention proposes a method for obtaining the drying and cooling time, including the steps:

[0038] Step 1, when the washing machine enters the drying and cooling stage, obtain the temperature parameters at multiple sampling time points within a preset duration after the start of the drying and cooling stage (the preset duration is less than the initially judged drying time of the system). Specifically, it can be N sampling time points, and the corresponding N temperature parameters;

[0039] Step 2: Select some temperature parameters near the cut-off time point close to the preset duration and the corresponding sampling time points to calculate the screening function, that is, multiple temperature parameters corresponding to the sampling time points whose corresponding time is close to the cut-off time point and the sampling time points corresponding to each temperature parameter;

[0040] Step 3: Select multiple temperature parameters and the corresponding sampling time points from the N sampling time points and the corresponding N temperature parameters according to the preset selection rule to calculate multiple functions to be fitted;

[0041] Step 4: Screen out multiple functions to be fitted that meet the conditions through the screening function and the preset screening conditions;

[0042] Step 5: Fit multiple functions to be fitted that meet the conditions according to the preset fitting rule to obtain the drying and cooling curve and calculate the drying end time.

[0043] In the present invention, the temperature parameters at multiple sampling time points during the drying and cooling stage are closer to the actual temperature reduction situation in the barrel. Since the drying and cooling curve is actually a curve with an absolute value of the slope gradually decreasing, that is, the closer to the end temperature of drying and cooling, the slower the cooling rate. Therefore, by selecting the temperature parameters near the cut-off time point of the preset duration to calculate the screening function, the change situation of the temperature parameters closer to the cut-off time is more in line with the actual situation of the temperature parameters dropping to the end temperature of drying and cooling.

[0044] The specific steps of selecting multiple sampling time points near the cut-off time point of the preset duration and the corresponding temperature parameters to calculate the screening function in the above Step 2 are as follows:

[0045] Step 21: Sort all the temperature parameters in the order of sampling time, select the last z + 2 temperature parameters and the sampling time points corresponding to each temperature parameter, where z > 2;

[0046] Step 22: Select z parameter groups from the z + 2 temperature parameters in the order of time. Each parameter group contains 3 adjacent temperature parameters and 3 corresponding sampling time points. Each parameter group can obtain a curve function, so z sequentially sorted curve functions F(x) can be obtained, where x is time and F(x) is temperature;

[0047] Step 23: Then take the derivative of each curve function F(x) to obtain the curve slope function F'(x), and determine whether the obtained z curve slope functions F'(x) meet the preset conditions; if so, use the mean filtering algorithm for the z curve slope functions to obtain the screening function;

[0048] If not, delete the last one or more sampling time points and their corresponding temperature parameters within the preset duration, and return to the step of sorting the temperature parameters within the preset duration in the order of time, that is, return to Step 21.

[0049] The preset conditions in the above step 23 are specifically as follows:

[0050] The absolute values of the slope values obtained by substituting z sorted curve slope functions F'(x) into the corresponding time x decrease in sequence, and the obtained slope values are all less than 0. The time corresponding to each substitution of the slope function F'(x) is the average value of 3 sampling time points in the parameter group for obtaining the slope function F'(x).

[0051] The preset rule in the above step 3 is: select multiple sampling time points and corresponding temperature parameters at preset time intervals to avoid the time of the collected temperature parameters being too concentrated, resulting in deviation from the actual situation.

[0052] The specific steps for calculating multiple functions to be fitted by selecting multiple temperature parameters and corresponding sampling time points in the above step 3 include:

[0053] Select n + 2 sampling time points and corresponding temperature parameters from the preset duration, and n is greater than 2, that is, at least 4 sampling time points and 4 temperature parameters are taken;

[0054] Select n groups of parameter groups from the n + 2 temperature parameters in time sequence. Each group of parameter groups contains 3 adjacent temperature parameters and 3 corresponding sampling time points. One curve function can be obtained from each group of parameter groups, so that n sorted curve functions f(x) can be obtained, where x is time and f(x) is temperature; the curve function f(x) is the function to be fitted.

[0055] The specific steps for screening multiple functions to be fitted that meet the conditions through a screening function and preset screening conditions in the above step 4 include:

[0056] Derive the n sorted curve slope functions f'(x) from the n curve functions f(x);

[0057] Substitute the n sorted curve slope functions f'(x) into the corresponding time x to obtain n sorted slope values; substitute the screening function into the corresponding time x to obtain the screening slope value;

[0058] Eliminate the curve slope functions f'(x) corresponding to the slope values greater than 0, eliminate the curve slope functions f'(x) corresponding to the absolute value of the slope value less than the absolute value of the screening slope value, and eliminate the curve slope functions f'(x) corresponding to the absolute value of the slope value greater than the previous value (the absolute value of the previous slope value) in the sorting. The curve functions f(x) corresponding to the remaining slope values of the curve slope functions f'(x) are the functions to be fitted that meet the conditions.

[0059] The above screening function substitutes the value of the corresponding time \(x\) with the average value of the above \(z + 2\) sampling time points. The above curve slope function \(f'(x)\) substitutes the value of the corresponding time \(x\) with the average value of 3 sampling time points in the parameter group for obtaining the slope function \(f'(x)\) (i.e., the curve function \(f(x)\)).

[0060] In step 5 above, fitting multiple eligible functions to be fitted according to a preset fitting rule specifically includes:

[0061] Obtain the number of functions to be fitted, set a proportional parameter for each function to be fitted, and the sum of all proportional parameters is 1;

[0062] Multiply each function to be fitted by the corresponding proportional parameter and sum them to obtain the drying and cooling curve function. The later the sampling time point corresponding to the function to be fitted is, the larger the value of its corresponding proportional parameter. Thus, by increasing the weight of the functions to be fitted in the later part, the accuracy of the drying and cooling curve function can be increased.

[0063] After obtaining the drying and cooling curve function, substitute the drying and cooling end temperature \(T_n\) into the drying and cooling curve function, then the drying and cooling duration can be calculated. Subtract the elapsed drying and cooling time from the drying and cooling duration, and the accurate drying and cooling end time can be obtained and displayed on the display panel of the washing machine for the user to view.

[0064] As Figure 2 shown, the specific embodiments of the above solution are as follows:

[0065] Screening function: After the start of the drying and cooling stage, within the initial stage \(t\) of drying and cooling, one data is taken every \(t / N\) time, and \(N\) barrel temperatures \(T\) are collected. Take the last 5 successively decreasing data within the \(t\) time. For the last 5 data taken, the \((N - 4)\)th, \((N - 3)\)th, \((N - 2)\)th, \((N - 1)\)th, and \(N\)th data are used to find the screening slope curve \(F'(x)\); for every 3 adjacent data among the 5 data, find 1 curve \(F(x)=Ax^2 + Bx + C\), so as to find 3 curve functions \(F1(x)\), \(F2(x)\), \(F3(x)\), and then find their corresponding slopes \(F1'(x)\), \(F2'(x)\), \(F3'(x)\). The obtained curve slopes need to satisfy \(|F1'(x)|>|F2'(x)|>|F3'(x)|\), and the slopes are all less than 0. Remove the data that does not meet the conditions and re-take them until the conditions are finally met. After obtaining the three curve slopes, use the mean filtering algorithm to find the screening slope function \(F'(x)=(F1'(x)+F2'(x)+F3'(x)) / 3\).

[0066] The three acquisition time points corresponding to the (N - 4)th, (N - 3)th, and (N - 2)th temperature parameters are t1, t2, and t3, and x in the above F1'(x) is (t1 + t2 + t3) / 3.

[0067] The three acquisition time points corresponding to the (N - 3)th, (N - 2)th, and (N - 1)th temperature parameters are t2, t3, and t4, that is, x in the above F2'(x) is (t2 + t3 + t4) / 3.

[0068] The three acquisition time points corresponding to the (N - 2)th, (N - 1)th, and Nth temperature parameters are t3, t4, and t5, that is, x in the above F3'(x) is (t3 + t4 + t5) / 3.

[0069] Curve obtaining: Take n + 2 data from N. For every 3 data, obtain 1 curve f(x) = ax^2 + bx + c. (n + 2) data can obtain n curves f1(x), f2(x) …… fn(x), and at the same time, the slopes f1'(x), f2'(x) …… fn'(x) corresponding to the n curves can also be obtained.

[0070] Curve screening: Screen the curves in the second step through the curve slope function obtained in the first step; the curve slopes in the second step need to satisfy: |f1'(x)| > |f2'(x)| …… |fn'(x)| (the obtaining method of this slope value is the same as that of the above slope value), and all slopes are less than 0, and the absolute value of all slopes is greater than the absolute value of the screening function slope F'(x) obtained in the first step (the obtaining method of the screening function slope value is the same as that of the above slope value). Remove the curves corresponding to the slopes that do not meet the conditions, and finally obtain m curve functions fm(x) to be fitted.

[0071] Curve fitting: Fit the drying and cooling curve through the m curves f1(x), f2(x) …… fm(x) screened in the third step; the fitted drying and cooling curve is f(x) = d1f1(x) + d2f2(x) …… + dmfm(x), where the proportional parameters d1, d2 …… dm satisfy the relationship d1 + d2 + …… + dm = 1.

[0072] 3. Proportion allocation: d1, d2 …… dm are proportional parameters, and local errors are eliminated through the calculation of proportional parameters. The values of the proportional parameters in the latter part are large, and the values of the proportional parameters in the front part are small. Adjust the proportion of the curve functions in the latter part to make the drying and cooling curve more accurately conform to the actual situation.

[0073] Set the drying and cooling end temperature Tn. Calculate the drying and cooling duration through the fitted drying and cooling curve f(x)=Tn. Subtract the elapsed drying and cooling time from the drying and cooling duration to obtain the drying and cooling end time, and display the drying and cooling end time on the display board.

[0074] The present invention also provides a washing machine, which includes obtaining the accurate drying and cooling duration by the method for obtaining the cooling time described above.

[0075] It should be noted that the terms used above are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0076] Unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions, and values set forth in these embodiments do not limit the scope of the present application. At the same time, it should be understood that, for the sake of convenience of description, the dimensions of the various parts shown in the drawings are not drawn in actual proportional relationships. Technologies, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and devices should be regarded as part of the authorized specification. In all the examples shown and discussed here, any specific value should be interpreted as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0077] In the description of the present application, it should be understood that the orientation or positional relationships indicated by orientation words such as "front, rear, upper, lower, left, right", "lateral, vertical, perpendicular, horizontal", and "top, bottom" are usually based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description. Without contrary description, these orientation words do not indicate and imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation, and thus should not be construed as limiting the protection scope of the present application; the orientation words "inside, outside" refer to the inside and outside relative to the contour of each component itself.

[0078] For ease of description, spatial relative terms such as "above", "over", "on the upper surface", "upper" etc. can be used herein to describe the spatial positional relationship of a device or feature shown in the figures with other devices or features. It should be understood that the spatial relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is inverted, a device described as "above" or "over" other devices or structures will then be positioned "below" or "beneath" the other devices or structures. Thus, the exemplary term "above" can include both orientations of "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and corresponding interpretations of the spatial relative descriptions used herein will be made.

[0079] In addition, it should be noted that the use of terms such as "first", "second" etc. to define components is only for the convenience of differentiating the corresponding components. Without further statement, the above terms have no special meaning, and thus should not be construed as limiting the protection scope of the present application.

[0080] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for obtaining the drying and cooling time, characterized in that, Including the steps: Obtain the temperature parameters at multiple sampling time points within a preset duration after the start of drying and cooling; Select some sampling time points close to the cut-off time point of the preset duration and the corresponding temperature parameters to calculate a screening function; Select multiple temperature parameters and the corresponding sampling time points according to a preset selection rule to calculate multiple functions to be fitted; Screen out multiple functions to be fitted that meet the conditions through the screening function and preset screening conditions; Fit multiple functions to be fitted that meet the conditions according to a preset fitting rule to obtain a drying and cooling curve function and calculate the drying and cooling duration; Among them, the specific steps of calculating the screening function by selecting multiple sampling time points close to the cut-off time point of the preset duration and the corresponding temperature parameters are: Sort all the temperature parameters in the order of sampling time, select the last z + 2 temperature parameters and the sampling time points corresponding to each temperature parameter, where z > 2; Successively select z groups of parameter groups from the z + 2 temperature parameters. Each group of parameter groups contains 3 temperature parameters adjacent in time and the corresponding 3 sampling time points. Each group of parameter groups can calculate a curve function, and z sequentially sorted curve functions F(x) are obtained, where x is time and F(x) is temperature; Derive each curve function F(x) to obtain a curve slope function F'(x), and determine whether the obtained multiple curve slope functions F'(x) meet the preset conditions; if so, use the mean filtering algorithm for the multiple curve slope functions F'(x) to obtain the screening function; If not, delete the last one or more sampling time points and their corresponding temperature parameters within the preset duration, and return to the step of sorting all the temperature parameters in the order of sampling time; Selecting multiple temperature parameters and the corresponding sampling time points according to a preset selection rule specifically includes the steps: Selecting multiple sampling time points and the corresponding temperature parameters at a preset time interval.

2. The method for obtaining the drying and cooling time according to claim 1, wherein The preset conditions are specifically: The absolute values of the slope values obtained by substituting the sequentially sorted curve slope functions F'(x) into the corresponding time x decrease successively, and each slope value is less than 0. The value of x substituted into each slope function F'(x) is the average value of the 3 sampling time points in the parameter group for obtaining the slope function F'(x).

3. The method for obtaining the drying and cooling time according to claim 1, characterized in that, The specific steps of calculating multiple functions to be fitted by selecting multiple temperature parameters and the corresponding sampling time points include: Select n + 2 sampling time points and the corresponding temperature parameters from within the preset duration, where n > 2; Successively select n groups of parameter groups from the n + 2 temperature parameters in the order of sampling time. Each group of parameter groups contains 3 temperature parameters adjacent in time and 3 corresponding sampling time points. Each group of parameter groups can obtain a curve function, and n sequentially sorted curve functions f(x) are obtained; the curve function f(x) is the function to be fitted.

4. The method for obtaining the drying and cooling time according to claim 3, wherein The specific steps of screening out multiple functions to be fitted that meet the conditions through the screening function and preset screening conditions include: Derive the n sequentially sorted curve functions f(x) to obtain n sequentially sorted curve slope functions f'(x); The n sorted slope values obtained by substituting n sorted curve slope functions f'(x) into the corresponding time x, and the screening slope value obtained by substituting the screening function into the corresponding time x; The functions to be fitted that meet the conditions are: the curve slope function f'(x) corresponding to the slope value less than 0, the curve slope function f'(x) corresponding to the absolute value of the slope value except the first one in the sorting being less than the previous value, and the curve slope function f'(x) corresponding to the absolute value of the slope value being greater than the absolute value of the screening slope value.

5. The method for obtaining the drying and cooling time according to claim 1, wherein The specific process of fitting multiple functions to be fitted according to the preset fitting rules is as follows: Obtain the number of functions to be fitted, set a proportional parameter for each function to be fitted, and the sum of all proportional parameters is 1; Multiply each function to be fitted by the corresponding proportional parameter and sum them to obtain the drying and cooling curve function.

6. The method for obtaining the drying and cooling time according to claim 5, wherein The later the sampling time point corresponding to the function to be fitted, the larger the value of the corresponding proportional parameter.

7. The method for obtaining the drying and cooling time according to claim 1, wherein The preset duration is less than the drying and cooling duration initially judged by the system.

8. A washing machine, characterized in that, Calculate the drying and cooling duration by using the method for obtaining the drying and cooling time described in any one of claims 1 to 7.

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