Control Method and System for a Dryer of Automobile Interior Fabric

Abstract

The present application relates to the technical field of drying automotive interior fabrics, and specifically relates to a control method and system for a dryer of automotive interior fabrics. The method includes: determining a temperature non-uniformity coefficient based on the average distribution of the temperature differences of the hot airflows in each fabric sub-region between all adjacent moments, and the temperature differences of all the hot airflows between each fabric sub-region and the remaining fabric sub-regions, and combining the temperature differences of the hot airflows between each fabric sub-region and all the remaining fabric sub-regions at the current moment; and determining a wind speed adjustment coefficient in combination with the change trend of all the temperature characteristic values within the preset duration, and adjusting the wind speed in the dryer at the current moment. The present application solves the problems of low drying quality and efficiency caused by fixed wind speed adjustment, and improves the drying quality and efficiency of automotive interior fabrics.

Description

Technical Field

[0001] This application relates to the technical field of drying automotive interior fabrics, and specifically relates to a control method and system for a dryer of automotive interior fabrics. Background Art

[0002] In the production process of automotive interior fabrics, the drying process is an important process. By using a dryer to dry the dyed and washed fabrics, the drying process helps to fix the dyes and coatings on the fabrics and keep the fabrics in the required shape and dimensional stability.

[0003] Existing dryers usually install a blowing device in the oven and adjust the wind speed of the blowing device to make the materials evenly heated during the drying process, so as to avoid local over-drying or insufficient drying on the surface of the materials. However, traditional dryers usually perform drying treatment at a fixed wind speed. For automotive interior fabrics, which are thin and have different thicknesses in different parts due to absorbing different amounts of water during the dyeing and washing processes, the fixed wind speed will cause the air supply state of the hot air flow in the oven to remain unchanged, resulting in changes in the static pressure and dynamic pressure of the hot air flow on the surface of the fabrics in the oven, thus causing uneven distribution of the hot air flow on the surface of the fabrics, making it difficult for the surface of the automotive interior fabrics to be evenly heated during the drying process, and then reducing the drying quality and efficiency of the automotive interior fabrics. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a control method and system for a dryer of automotive interior fabrics, and the specific technical solutions adopted are as follows:

[0005] In the first aspect, an embodiment of this application provides a control method for a dryer of automotive interior fabrics, and the method includes the following steps:

[0006] Real-time collect the hot air flow temperature of each fabric sub-region in the oven of the dryer;

[0007] Within a preset time period before the current moment, determine the first eigenvalue of each fabric sub-region at the current moment according to the average distribution of the differences in the hot air flow temperature between all adjacent moments; determine the second eigenvalue of each fabric sub-region at the current moment by analyzing the differences in the hot air flow temperature between each fabric sub-region and all other fabric sub-regions within the preset time period; based on the first eigenvalue and the second eigenvalue, determine the evaluation weight of each fabric sub-region at the current moment, and combine the differences in the hot air flow temperature between each fabric sub-region and all other fabric sub-regions at the current moment to determine the temperature non-uniformity coefficient of the oven at the current moment;

[0008] By analyzing the temperature distribution of all fabric sub-regions at each moment, the temperature characteristic values at each moment are determined. Based on the change trend of all temperature characteristic values within the preset time period, the temperature decline index of the oven at the current moment is determined, and in combination with the temperature non-uniformity coefficient, the air velocity adjustment coefficient of the oven at the current moment is determined;

[0009] Based on the air velocity adjustment coefficient, the air velocity in the dryer at the current moment is adjusted.

[0010] Preferably, the method for determining the first characteristic value of each fabric sub-region at the current moment is as follows:

[0011] Obtain the first-order difference sequence of all hot air flow temperatures of each fabric sub-region within the preset time period before the current moment, and calculate the mean value of the absolute values of all elements in the first-order difference sequence as the first characteristic value of each fabric sub-region at the current moment.

[0012] Preferably, the method for determining the second characteristic value of each fabric sub-region at the current moment is as follows:

[0013] Calculate the difference between all hot air flow temperatures between each fabric sub-region and the rest of the fabric sub-regions within the preset time period before the current moment, and take the mean value of the differences between each fabric sub-region and all fabric sub-regions as the second characteristic value of each fabric sub-region at the current moment.

[0014] Preferably, the method for determining the evaluation weight of each fabric sub-region at the current moment is: take the reciprocal of the mean value of the first characteristic value and the second characteristic value of each fabric sub-region at the current moment, and take the normalized value of the reciprocal as the evaluation weight of each fabric sub-region at the current moment.

[0015] Preferably, the expression of the temperature non-uniformity coefficient of the oven at the current moment is: ; in the formula, represents the temperature non-uniformity coefficient of the oven at the current moment; represents the evaluation weight of the fabric sub-region i at the current moment; represents the mean value of the difference in hot air flow temperature between the fabric sub-region i and the rest of all fabric sub-regions at the current moment; represents the number of all fabric sub-regions.

[0016] Preferably, the temperature characteristic value at each moment is the mean value of the hot air flow temperatures of all fabric sub-regions at each moment.

[0017] Preferably, the method for determining the temperature decline index of the oven at the current moment is:

[0018] Obtain the trend item sequence of the temperature characteristic values at all moments within the preset duration, fit all elements in the trend item sequence, and take the reciprocal of the slope of the fitted straight line as the temperature drop index of the oven at the current moment.

[0019] Preferably, the wind speed adjustment coefficient of the oven at the current moment is the ratio of the temperature non-uniformity coefficient of the oven at the current moment to the temperature drop index.

[0020] Preferably, the adjustment of the wind speed in the dryer at the current moment includes:

[0021] The wind speed in the dryer at the current moment The expression is: ; In the formula, , respectively represent a preset first value and a preset second value; represents the wind speed adjustment coefficient of the dryer at the current moment; represents the rounding function;

[0022] Adjust the wind speed in the dryer at the current moment to the value of the wind speed V.

[0023] In a second aspect, an embodiment of the present application also provides a control system for an automotive interior fabric dryer, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the control method for an automotive interior fabric dryer described in any one of the above are implemented.

[0024] The present application has at least the following beneficial effects:

[0025] This application constructs a temperature non-uniformity coefficient by analyzing the temperature differences of the hot air currents in each fabric sub-region between adjacent moments, as well as the differences in all hot air current temperatures between each fabric sub-region and all other fabric sub-regions, and combining the differences in hot air current temperatures between each fabric sub-region and all other fabric sub-regions at the current moment. Compared with directly using the hot air current temperatures of all fabric sub-regions collected to evaluate the uniformity of the fabric surface heating in the oven, the calculation of the temperature non-uniformity coefficient can effectively reduce the influence of the hot air current temperature with a large disturbance degree on the accuracy of the temperature uniformity evaluation, thereby improving the accuracy of dynamically adjusting the wind speed in the dryer, and thus improving the quality and efficiency of drying the automotive interior fabric; further, based on the change trends of all temperature characteristic values within the preset time period and combining with the temperature non-uniformity coefficient, a wind speed adjustment coefficient is constructed. Compared with the existing drying process with a fixed wind speed, the construction of the wind speed adjustment coefficient can not only effectively improve the uniformity of the fabric surface heating during the drying process of the automotive interior fabric, but also avoid the situation of energy waste caused by too low heat utilization rate due to too high wind speed, thereby improving the quality and efficiency of drying the automotive interior fabric. Brief Description of the Drawings

[0026] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0027] Figure 1 It is a step flowchart of a control method for a dryer of automotive interior fabric provided by an embodiment of the present application;

[0028] Figure 2 It is a schematic diagram of the process of extracting the wind speed adjustment coefficient provided by an embodiment of the present application. Detailed Embodiments

[0029] In order to further elaborate on the technical means and effects adopted by the present application to achieve the intended invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific embodiments, structures, features and their effects of a control method and system for a dryer of automotive interior fabric proposed according to the present application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs.

[0031] The following specifically describes the specific solutions of a control method and system for an automotive interior fabric dryer provided by the present application in conjunction with the accompanying drawings.

[0032] Please refer to Figure 1 , which shows a flowchart of the steps of a control method for an automotive interior fabric dryer provided by an embodiment of the present application. The method includes the following steps:

[0033] Step S1: Real-time collect the hot air flow temperatures of each fabric sub-region in the oven of the dryer.

[0034] The area where the fabric is located in the oven of the dryer is divided into multiple sub-regions, denoted as multiple fabric sub-regions of the oven. A temperature sensor is placed directly above each fabric sub-region of the oven to collect the hot air flow temperature directly above each fabric sub-region during the drying process. Among them, in this embodiment, the number of the fabric sub-regions is set to 9, and the data sampling frequency is set to 10 Hz. In the actual application process, as other implementation manners, the implementer can also set the number of fabric sub-regions and the value of the sampling frequency according to the specific situation.

[0035] Furthermore, perform normalization processing on all the collected hot air flow temperatures. There are many common normalization processing methods. In this embodiment, the z-score standardization method is used to perform normalization processing on the collected data. In the actual application process, the implementer can also use other normalization methods such as the maximum-minimum normalization method. Regarding the selection of the normalization method, no special limitation is made in this embodiment.

[0036] Among them, the z-score standardization method is a well-known technology, and the specific process of performing normalization processing on the data will not be elaborated here.

[0037] Step S2: Within a preset duration before the current moment, analyze the differences in the hot air flow temperatures between all fabric sub-regions during all adjacent moments according to the average distribution of the differences in the hot air flow temperatures between each fabric sub-region and the rest of the fabric sub-regions, and combine the differences in the hot air flow temperatures between each fabric sub-region and the rest of all fabric sub-regions at the current moment to determine the temperature unevenness coefficient of the oven at the current moment.

[0038] During the process of drying the interior fabric of an automobile using a dryer equipped with a blowing device, the hot air flow in the oven of the dryer transfers heat to the fabric through convective heat transfer with the fabric surface, causing the moisture on the fabric surface to evaporate. Therefore, the temperature distribution of the hot air flow in the oven directly determines the heating condition of the material surface. Among them, the more uneven the temperature distribution, the more uneven the heating of the material surface. Increasing the wind speed of the blowing device can accelerate the flow speed of the hot air flow in the oven, making the heat transfer more evenly to the fabric surface, thereby improving the problem of uneven heating of the fabric. However, if the wind speed is too fast, it will cause the residence time of the hot air flow in the oven to be shortened, and the heat will be carried out of the oven before being fully transferred to the fabric surface, which will not only cause the temperature of the hot air flow in the oven to decrease, but also lead to too low heat utilization rate and waste of energy. Therefore, in this embodiment, the uniformity of the fabric surface heating is evaluated by the temperature distribution of the hot air flow above the surface of the automotive interior fabric in the oven, and the wind speed of the blowing device of the dryer is dynamically adjusted in combination with the change of the fabric surface heating over time.

[0039] However, the temperature sensor may be disturbed by noise during the process of data acquisition and transmission, which will cause difficulties in accurately evaluating the uniformity of the fabric surface heating in the oven when using the hot air flow temperature collected at the current moment, because the hot air flow temperature is affected by noise. Therefore, to avoid this situation, the following processing is carried out. Specifically:

[0040] Under normal circumstances, the temperature of the hot air flow in the same spatial region in the oven of the dryer changes gradually and will not show a sudden rise or fall. And because the dryer uses a constant heating temperature and a fixed wind speed at the previous wind speed control moment for drying, the temperature change trends of the hot air flows in different spatial regions in the oven usually have relatively close temperature change trends. However, the noise in the collected hot air flow temperature usually destroys this temperature change characteristic due to its complex time-varying characteristics.

[0041] Based on the above analysis, within a preset time period before the current moment, according to the average distribution of the hot air flow temperature differences between adjacent moments in each fabric sub-region, analyze the differences in all hot air flow temperatures between each fabric sub-region and the rest of the fabric sub-regions within the preset time period, and combine the differences in hot air flow temperatures between each fabric sub-region and the rest of all fabric sub-regions at the current moment to determine the temperature unevenness coefficient of the oven at the current moment. The specific process is as follows:

[0042] (1) Determine the first characteristic value of each fabric sub-region at the current moment according to the average distribution of the hot air flow temperature differences between adjacent moments in each fabric sub-region. Specifically:

[0043] Obtain the first-order difference sequence of all hot air flow temperatures in each fabric sub-region within a preset time period before the current moment, and calculate the mean value of the absolute values of all elements in the first-order difference sequence as the first eigenvalue of each fabric sub-region at the current moment, which is used to evaluate the degree of sudden temperature rise or fall in the hot air flow temperature collected directly above the fabric sub-region. Moreover, the larger the first eigenvalue, the greater the degree of noise interference in the hot air flow temperature collected in the fabric sub-region; the smaller the first eigenvalue, the smaller the degree of noise interference in the hot air flow temperature collected in the fabric sub-region, indicating that the hot air flow temperature collected in this fabric sub-region at this time is more meaningful for wind speed regulation.

[0044] Among them, the method for obtaining the first-order difference sequence is a well-known technology, and its specific acquisition process will not be elaborated here.

[0045] (2) Further, by analyzing the differences in all hot air flow temperatures between each fabric sub-region and all other fabric sub-regions within the preset time period, determine the second eigenvalue of each fabric sub-region at the current moment, specifically:

[0046] Calculate the differences in all hot air flow temperatures between each fabric sub-region and all other fabric sub-regions within a preset time period before the current moment, and take the mean value of the differences between each fabric sub-region and all fabric sub-regions as the second eigenvalue of each fabric sub-region at the current moment, which is used to evaluate the degree of difference between the change trend of the hot air flow temperature collected directly above the current fabric sub-region and the change trend of the hot air flow temperature collected directly above the other fabric sub-regions. Moreover, the larger the second eigenvalue, the greater the degree of noise interference in the hot air flow temperature collected in the current fabric sub-region; conversely, the smaller the second eigenvalue, the smaller the degree of noise interference in the hot air flow temperature collected in the current fabric sub-region, indicating that the hot air flow temperature collected in the current fabric sub-region at this time is more meaningful for wind regulation.

[0047] It should be noted that there are many methods to measure the differences between data groups. In this embodiment, the DTW distance between all hot air flow temperatures between each fabric sub-region and all other fabric sub-regions within a preset time period before the current moment is used as the difference between all hot air flow temperatures between each fabric sub-region and all other fabric sub-regions within a preset time period before the current moment. In actual application processes, as other implementation manners, implementers can also use other methods to measure the differences between data groups, such as Euclidean distance or Manhattan distance. Regarding the selection of methods to measure the differences between data groups, this embodiment does not make special restrictions.

[0048] Among them, the calculation method of the DTW distance is a well-known technology, and its specific calculation process will not be elaborated here.

[0049] (3)Further, based on the first eigenvalue and the second eigenvalue, determine the evaluation weights of each fabric sub-region at the current moment, specifically:

[0050] Take the reciprocal of the mean of the first eigenvalue and the second eigenvalue of each fabric sub-region at the current moment, and use the normalized value of the reciprocal as the evaluation weight of each fabric sub-region at the current moment, which is used to evaluate the degree of interference of the hot air flow temperature collected in the current fabric sub-region by noise. If the first eigenvalue and the second eigenvalue are larger, the obtained evaluation weight is smaller, indicating that the hot air flow temperature collected in the current fabric sub-region is more severely disturbed by noise; on the contrary, if the first eigenvalue and the second eigenvalue are smaller, the obtained evaluation weight is larger, indicating that the hot air flow temperature collected in the current fabric sub-region is less disturbed by noise, and the hot air flow temperature at this time is more authentic and reliable.

[0051] (4)Based on the evaluation weights of each fabric sub-region at the current moment, and in combination with the differences in the hot air flow temperatures between each fabric sub-region at the current moment and all the other fabric sub-regions, determine the temperature non-uniformity coefficient of the oven at the current moment, specifically:

[0052] As an implementation manner, in this embodiment, the temperature non-uniformity coefficient of the oven at the current moment has the following expression: ; in the formula, represents the evaluation weight of the fabric sub-region i at the current moment; represents the mean value of the differences in the hot air flow temperatures between the fabric sub-region i and all the other fabric sub-regions at the current moment; represents the number of all fabric sub-regions.

[0053] It should be noted that there are many methods to measure the differences between data. In this embodiment, the method of taking the absolute value of the difference is used to measure the differences in the hot air flow temperatures between the fabric sub-region i and all the other fabric sub-regions at the current moment. In actual application processes, as other implementation manners, implementers can also use methods such as the square or ratio of the differences to measure the differences between data. Regarding the selection of the method for measuring the differences between data, this embodiment does not make special restrictions.

[0054] It can be understood from the temperature non-uniformity coefficient of the oven at the current moment that the evaluation weight is a quantification of the importance of each fabric sub-region during the evaluation process. In this embodiment, the evaluation weight is determined based on the degree to which the hot air flow temperature in the fabric sub-region is affected by noise interference. The larger the evaluation weight, the lower the degree to which the hot air flow temperature in the fabric sub-region is affected by noise interference. Therefore, when evaluating the overall drying uniformity, the authenticity and reference significance of the hot air flow temperature in this fabric sub-region are higher, and the corresponding evaluation weight should be larger. At this time, if the difference in hot air flow temperature between the current fabric sub-region and the other fabric sub-regions is larger, the corresponding temperature non-uniformity coefficient is larger, indicating that the hot air flow temperature distribution in the current fabric sub-region is more uneven. Therefore, the wind speed during the drying process can be appropriately adjusted; on the contrary, if the evaluation weight is smaller, it means that the hot air flow temperature collected in the corresponding fabric sub-region is more affected by noise interference, and the hot air flow temperature in this fabric sub-region is less significant for wind speed regulation. Therefore, the value of its weighting coefficient is reduced to weaken the consideration and analysis of the hot air flow temperature in this fabric sub-region.

[0055] So far, during the drying process of automotive interior fabrics, by analyzing the distribution and changes of the hot air flow temperature above each fabric sub-region in the oven, and combining the first eigenvalue and the second eigenvalue, the evaluation weight of each fabric sub-region is determined, and based on this, the temperature non-uniformity coefficient of the oven is calculated. The temperature non-uniformity coefficient reflects the degree of uniformity of the hot air flow temperature distribution in the oven, which helps to adjust the wind speed during the drying process to optimize the hot air flow distribution, improve the drying efficiency and the uniformity of fabric heating, and at the same time reduce the influence of noise interference on the evaluation of temperature data.

[0056] Step S3: By analyzing the temperature distribution of all fabric sub-regions at each moment, determine the temperature eigenvalue at each moment. Based on the change trend of all temperature eigenvalues within the preset time period, determine the temperature drop index of the oven at the current moment, and combine the temperature non-uniformity coefficient to determine the wind speed adjustment coefficient of the oven at the current moment.

[0057] During the drying process of automotive interior fabrics, the drying link is crucial for ensuring the quality and performance of the fabrics. Since the temperature distribution of the hot air flow inside the oven is often uneven, this may cause uneven drying of the fabrics, thereby affecting the texture and color of the fabrics. To further ensure the uniformity and efficiency of the drying process, by analyzing the temperature distribution of all fabric sub-regions at each moment, determine the temperature eigenvalue at each moment. Based on the change trend of all temperature eigenvalues within the preset time period, determine the temperature drop index of the oven at the current moment to achieve real-time detection of the change trend of the hot air flow temperature in the oven, so as to timely adjust the drying parameters to achieve uniform temperature distribution, ensure that the fabrics receive uniform and vector heat during the drying process, and avoid quality problems caused by temperature differences. The specific process is as follows:

[0058] First, take the average value of the hot air flow temperatures of all fabric sub-regions at each moment as the temperature characteristic value at each moment;

[0059] Further, take the temperature characteristic values of all moments within the preset duration as the input of the time series decomposition algorithm, output the trend term sequence, fit all elements in the trend term sequence, and take the reciprocal of the slope of the fitted straight line as the temperature drop index of the oven at the current moment, which is used to evaluate the degree of temperature drop of the overall hot air flow in the oven within the preset duration before the current moment. The larger the temperature drop index, the faster the temperature drops within the preset duration before the current moment, indicating that the wind speed is too high at this time, resulting in low thermal efficiency of the oven and insufficient absorption of heat energy by the fabric, which may affect the drying efficiency and cause uneven drying of the fabric. On the contrary, the smaller the temperature drop index, the gentler the temperature drop within the preset duration before the current moment, indicating that the thermal efficiency of the oven is higher and the fabric is dried more evenly, and the current wind speed can be maintained or adjusted appropriately.

[0060] It should be noted that there are many commonly used time series decomposition algorithms. In this embodiment, the STL time series decomposition algorithm is used to obtain the trend term sequence of the temperature characteristic values of all moments within the preset duration. In actual application, the implementer can also adopt other methods such as the X-11 decomposition algorithm according to the specific situation. Regarding the selection of the time series decomposition algorithm, this embodiment does not make special restrictions.

[0061] Among them, the STL time series decomposition algorithm is a well-known technology, and the specific process of obtaining the trend term sequence will not be elaborated here.

[0062] In addition, it should be supplemented that there are many commonly used fitting methods. In this embodiment, the least squares method is used to fit all elements in the trend term sequence. In actual application, as other implementation methods, the implementer can also adopt other fitting methods such as linear regression. Regarding the selection of the fitting method, this embodiment does not make special restrictions.

[0063] Among them, the least squares method is a well-known technology, and its specific principle will not be elaborated here.

[0064] Further, take the ratio of the temperature non-uniformity coefficient of the oven at the current moment to the temperature drop index as the wind speed adjustment coefficient of the oven at the current moment.

[0065] It can be understood from the wind speed adjustment coefficient of the oven at the current moment that if the temperature non-uniformity coefficient of the oven at the current moment is larger, it indicates that the temperature distribution of the hot air flow in the oven at the current moment is uneven. The wind speed should be increased to make the temperature distribution of the hot air flow uniform during the drying process, avoiding problems with poor fabric quality caused by uneven temperature distribution of the hot air flow. And the smaller the temperature drop index, it indicates that the temperature drop speed is relatively gentle within the preset time period before the current moment, indicating that the thermal efficiency of the oven is relatively high, and the fabric is dried more evenly. The current wind speed can be maintained or adjusted appropriately; on the contrary, if the temperature non-uniformity coefficient of the oven at the current moment is larger, it indicates that the temperature drop speed is faster within the preset time period before the current moment, indicating that the wind speed is too high at this time, resulting in low thermal efficiency of the oven and the heat energy not being fully absorbed by the fabric, which may affect the drying efficiency and cause uneven drying of the fabric. At this time, the wind speed should be appropriately reduced to further improve the thermal energy utilization rate and drying efficiency.

[0066] Preferably, the schematic diagram of the extraction process of the wind speed adjustment coefficient provided in this embodiment is as Figure 2 shown.

[0067] So far, during the drying process of automotive interior fabrics, to ensure the quality and performance of the fabrics, by real-time monitoring the temperature distribution of each fabric sub-region, calculating the temperature characteristic value and the temperature drop index, and combining with the temperature non-uniformity coefficient, the wind speed adjustment coefficient is determined. This method can real-time feedback the change trend of the hot air flow temperature in the oven, adjust the wind speed in a timely manner to achieve uniform temperature distribution, ensure uniform heating of the fabric, and avoid quality problems caused by temperature differences.

[0068] Step S4: Based on the wind speed adjustment coefficient of the oven at the current moment, adjust the wind speed in the dryer at the current moment.

[0069] Based on the wind speed adjustment coefficient obtained in step S3, adjust the wind speed in the dryer at the current moment, specifically:

[0070] The wind speed in the dryer at the current moment is expressed as: ; where , respectively represent a preset first value and a preset second value; represents the wind speed adjustment coefficient of the dryer at the current moment; represents the rounding function;

[0071] It should be noted that , For controlling the upper and lower limits of the wind speed. Among them, the values of the preset first value and the preset second value are set manually. In this embodiment, the value of the preset first value is 0.25 m / s, and the value of the preset second value is 0.20 m / s. Implementers can also set them according to specific situations by themselves, and this embodiment does not make special restrictions.

[0072] Finally, the wind speed in the dryer at the current moment is adjusted to the value of the wind speed V, realizing the regulation of the wind speed in the dryer.

[0073] So far, in this embodiment, by collecting the hot air flow temperature of each fabric sub-region in the oven in real time, calculating the first eigenvalue and the second eigenvalue to determine the evaluation weight of each fabric sub-region, and then calculating the temperature non-uniformity coefficient of the oven; further, by analyzing the change trend of the temperature eigenvalue to determine the temperature drop index, and combining with the non-uniformity coefficient to obtain the wind speed adjustment coefficient, and adjusting the wind speed in the dryer according to the wind speed adjustment coefficient to achieve uniform distribution of the hot air flow temperature in the fabric drying process, improving the drying efficiency and fabric quality.

[0074] Based on the same inventive concept as the above method, the embodiment of the present application also provides a control system for an automotive interior fabric dryer, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above methods for controlling an automotive interior fabric dryer.

[0075] It should be noted that: the above sequence of the embodiments of the present application is only for description and does not represent the advantages or disadvantages of the embodiments. And the above specific embodiments of this specification have been described. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0076] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between each embodiment can be referred to each other. The key point of each embodiment is to illustrate the differences from other embodiments.

[0077] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present application shall be included in the protection scope of the present application.

Claims

1. A control method for an automobile interior fabric dryer, characterized in that, The method includes the following steps: Collect the hot air flow temperature of each fabric sub-region in the oven of the dryer in real time; Within a preset duration before the current moment, determine the first eigenvalue of each fabric sub-region at the current moment according to the average distribution of the hot air flow temperature differences between all adjacent moments; determine the second eigenvalue of each fabric sub-region at the current moment by analyzing the differences in all hot air flow temperatures between each fabric sub-region and all other fabric sub-regions within the preset duration; based on the first eigenvalue and the second eigenvalue, determine the evaluation weight of each fabric sub-region at the current moment, and combine the differences in hot air flow temperatures between each fabric sub-region and all other fabric sub-regions at the current moment to determine the temperature non-uniformity coefficient of the oven at the current moment; By analyzing the temperature distribution of all fabric sub-regions at each moment, determine the temperature eigenvalue at each moment, based on the change trend of all temperature eigenvalues within the preset duration, determine the temperature drop index of the oven at the current moment, and combine the temperature non-uniformity coefficient to determine the wind speed adjustment coefficient of the oven at the current moment; Based on the wind speed adjustment coefficient, adjust the wind speed in the dryer at the current moment.

2. The control method of an automobile interior fabric dryer as claimed in claim 1, wherein The method for determining the first eigenvalue of each fabric sub-region at the current moment is as follows: Obtain the first-order difference sequence of all hot air flow temperatures of each fabric sub-region within a preset duration before the current moment, and calculate the mean value of the absolute values of all elements in the first-order difference sequence as the first eigenvalue of each fabric sub-region at the current moment.

3. The control method of an automobile interior fabric dryer according to claim 1, characterized in that, The method for determining the second eigenvalue of each fabric sub-region at the current moment is as follows: Calculate the differences in all hot air flow temperatures between each fabric sub-region and all other fabric sub-regions within a preset duration before the current moment, and take the mean value of the differences between each fabric sub-region and all fabric sub-regions as the second eigenvalue of each fabric sub-region at the current moment.

4. The control method of an automobile interior fabric dryer according to claim 1, characterized in that The method for determining the evaluation weight of each fabric sub-region at the current moment is as follows: take the reciprocal of the mean value of the first eigenvalue and the second eigenvalue of each fabric sub-region at the current moment, and take the normalized value of the reciprocal as the evaluation weight of each fabric sub-region at the current moment.

5. The control method of an automobile interior fabric dryer according to claim 1, characterized in that, The expression for the temperature non-uniformity coefficient of the oven at the current moment is as follows: ; In the formula, represents the temperature non-uniformity coefficient of the oven at the current moment; represents the evaluation weight of the fabric sub-region i at the current moment; represents the average value of the temperature difference of the hot air flow between the fabric sub-region i and all the other fabric sub-regions at the current moment; represents the number of all fabric sub-regions.

6. The control method of an automobile interior fabric dryer as described in claim 1, characterized in that, The temperature eigenvalue at each moment is the mean value of the hot air flow temperatures of all fabric sub-regions at each moment.

7. The control method of an automobile interior fabric dryer as described in claim 1, characterized in that, The method for determining the temperature drop index of the oven at the current moment is as follows: Obtain the trend term sequence of the temperature eigenvalues of all moments within the preset duration, fit all elements in the trend term sequence, and take the reciprocal of the slope of the fitted straight line as the temperature drop index of the oven at the current moment.

8. The control method of an automobile interior fabric dryer according to claim 1, characterized in that, The wind speed adjustment coefficient of the oven at the current moment is the ratio of the temperature non-uniformity coefficient of the oven at the current moment to the temperature drop index.

9. The control method of an automobile interior fabric dryer as described in claim 1, characterized in that, The adjustment of the wind speed in the dryer at the current moment includes: The wind speed in the dryer at the current moment The expression is as follows: In the formula, , respectively represent a preset first value and a preset second value; represents the wind speed adjustment coefficient of the dryer at the current moment; represents the rounding function; Adjust the wind speed in the dryer at the current moment to the value of wind speed V.

10. A control system for a dryer of automotive interior fabric, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the control method of an automotive interior fabric dryer according to any one of claims 1-9.

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