Production process control method and system of novel lightweight fabric

Abstract

The invention belongs to the technical field of textiles, and particularly relates to a novel light-weight fabric production process control method and system, and the method comprises the steps: obtaining a temperature value of a cooled fabric, and generating a sub-region temperature scatter diagram; according to the sub-region temperature scatter diagram, calculating to obtain a coordinate point discrete index and an out-of-range existence index; according to the coordinate point discrete index and the out-of-range existence index, a temperature evaluation value is obtained through calculation; generating a production process judgment signal according to the temperature evaluation value; obtaining a cooling value of the fabric, and calculating to obtain a cooling evaluation value; generating a cooling state signal according to the cooling evaluation value; according to the cooling value and the cooling set value of the fabric, a correlation evaluation value is obtained through calculation; generating a correlation signal according to the correlation evaluation value; according to the cooling deviation value, a cooling liquid consumption adjustment value is obtained through calculation; according to the invention, the cooling system of the novel light-weight fabric in production is optimized by accurately regulating and controlling the use amount of the cooling liquid, and the qualified rate of the novel light-weight fabric production process is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of textile materials, and in particular relates to a production process control method and system for a novel lightweight fabric. Background Art

[0002] As a kind of textile material, the new lightweight fabric is characterized by its light weight while maintaining good physical properties and comfort. This kind of fabric usually adopts advanced textile technology and materials, such as spandex polyurethane fiber and high-density sponge to achieve lightweight, high strength, high elasticity and other characteristics.

[0003] In the production process of new lightweight fabrics, multi-layer materials are hot pressed. During the hot pressing process, the fibers in the fabric can be more tightly combined under the action of high temperature and pressure, thereby improving the mechanical strength and water resistance of the fabric. During the hot pressing process, the fabric will also deform under the action of high temperature and pressure. It is necessary to use a cooling device to lower the temperature to fix the shape and structure of the fabric to avoid deformation during subsequent processing or use. In order to ensure the pass rate of fabric production, fabric cooling is particularly important.

[0004] The design of existing cooling systems often lacks corresponding theoretical support, resulting in mostly empirical system designs that may not meet actual production needs and cannot accurately regulate the amount of coolant in the cooling system, leading to abnormal cooling of new lightweight fabrics during the production process, reducing the pass rate of the new lightweight fabric production process. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a novel production process control method and system for lightweight fabrics, aiming to solve the problems described in the above background technology.

[0006] The embodiment of the present invention is implemented as follows: a production process control method for a novel lightweight fabric, comprising:

[0007] The temperature value of the fabric after cooling treatment is obtained, and a sub-region temperature scatter plot is generated according to the temperature value; a coordinate point discrete index and an out-of-range existence index are calculated according to the sub-region temperature scatter plot; a temperature evaluation value is calculated according to the coordinate point discrete index and the out-of-range existence index;

[0008] According to the temperature evaluation value, whether the production process of the fabric is qualified is judged, and a production process judgment signal is generated; wherein the production process judgment signal includes a production process qualified signal and a production process unqualified signal;

[0009] Based on the production process unqualified signal, the cooling value of the fabric is obtained, and the cooling evaluation value is calculated; wherein the cooling value represents the difference between the temperature value before the fabric is cooled and the temperature value;

[0010] According to the cooling evaluation value, it is judged whether the cooling process of the fabric is normal, and a cooling status signal is generated; wherein the cooling status signal includes a normal cooling signal and an abnormal cooling signal;

[0011] Based on the abnormal temperature drop signal, the associated evaluation value is calculated according to the temperature drop value of the fabric and the temperature drop setting value;

[0012] According to the correlation evaluation value, the strength of the correlation between the cooling value and the cooling setting value is judged, and a correlation signal is generated; wherein the correlation signal includes a large correlation signal and a small correlation signal;

[0013] Based on the large correlated signal and the temperature drop deviation value, the coolant dosage adjustment value is calculated.

[0014] Preferably, in obtaining the temperature value of the fabric after cooling treatment, and generating a sub-region temperature scatter plot according to the temperature value; calculating the coordinate point discrete index and the out-of-range existence index according to the sub-region temperature scatter plot; and calculating the temperature evaluation value according to the coordinate point discrete index and the out-of-range existence index, the specific steps include:

[0015] A monitoring area is set for the cooled fabric, the monitoring area is evenly divided into several sub-areas, and the fabric temperature values ​​of the fabric in the sub-areas are obtained;

[0016] A two-dimensional coordinate system is established with the monitoring area as the X-axis and the temperature value as the Y-axis. The temperature value of each monitoring sub-area is substituted into the two-dimensional coordinate system to generate a sub-area temperature scatter plot;

[0017] Preset the temperature threshold, substitute the temperature threshold of each monitoring sub-area into the two-dimensional coordinate system, and generate a temperature threshold curve;

[0018] If the temperature thresholds of each monitoring sub-area are the same, the generated curve is a straight line; in addition, the temperature threshold is the middle value of the qualified range of fabric temperature;

[0019] By formula The discrete value Pl of the coordinate scatter point and the temperature threshold curve is calculated; where Y i It represents the Y-axis coordinate value of the temperature scatter plot of the sub-region in the two-dimensional coordinate system, Y0 represents the Y-axis coordinate value of the temperature threshold in the two-dimensional coordinate system, and n represents the number of abnormal sub-regions;

[0020] The discrete value Pl is calculated by comparing the coordinate value of the temperature threshold on the Y axis in the two-dimensional coordinate system to obtain the coordinate point discrete index; the discrete value Pl represents the average value of the difference between the fabric temperature value and the temperature threshold in all monitoring areas;

[0021] Obtain the standard range of fabric temperature, substitute the qualified range of fabric temperature into the two-dimensional coordinate system, generate two temperature threshold curves, and mark them as the first temperature curve and the second temperature curve;

[0022] According to the first temperature curve and the second temperature curve, the coordinates of the sub-region temperature scatter plot are screened to obtain the out-of-range coordinates of the sub-region temperature scatter plot;

[0023] The number of out-of-range coordinates is obtained, and the ratio of the number of out-of-range coordinates to the total number of coordinates in the sub-region temperature scatter plot is calculated to obtain an out-of-range existence index;

[0024] By formula The temperature evaluation value Pj is calculated; wherein Pc represents the discrete index of the coordinate point, Ps represents the existence index outside the range, ac and ad are both proportional coefficients, the value of ac is 0.48±0.05, the value of ad is 0.52±0.05, and ac+ad=1;

[0025] The specific steps for screening the coordinates of the sub-region temperature scatter plot are as follows:

[0026] Obtain the coordinates between the first temperature curve and the second temperature curve, and mark the coordinates as within-range coordinates;

[0027] In the sub-region temperature scatter plot, the other coordinates except the coordinates within the range are marked as out-of-range coordinates.

[0028] Preferably, in judging whether the production process of the fabric is qualified according to the temperature evaluation value and generating the production process judgment signal, the specific steps include:

[0029] Obtaining a temperature evaluation value Pj, and comparing the temperature evaluation value Pj with a temperature evaluation threshold;

[0030] If the temperature evaluation value Pj is less than or equal to the temperature evaluation threshold, a qualified production process signal is generated; when a qualified production process signal is received, it means that the smaller the temperature evaluation value Pj is, the higher the qualified trend of the production process is;

[0031] If the temperature evaluation value Pj is greater than the temperature evaluation threshold, a production process unqualified signal is generated; when a production process qualified signal is received, it means that the larger the temperature evaluation value Pj is, the lower the qualified trend of the production process is.

[0032] Preferably, in obtaining the cooling value of the fabric based on the production process unqualified signal and calculating the cooling evaluation value, the specific steps include:

[0033] A monitoring area is set for the fabric before cooling, and the monitoring area is evenly divided into several sub-areas to obtain the temperature drop value of the fabric in the sub-areas;

[0034] The variance of the cooling values ​​of all sub-areas is calculated to obtain the cooling fluctuation value of the fabric in the monitoring area;

[0035] The cooling fluctuation value is calculated by ratio with the cooling fluctuation threshold to obtain the cooling fluctuation index;

[0036] Calculate the difference between the cooling value and the cooling setting value to obtain the cooling deviation value;

[0037] The temperature drop deviation value is calculated by ratio with the temperature drop setting value to obtain the setting deviation index;

[0038] The cooling evaluation value Jc is calculated by the formula Jc=Jd*bc+Jp*bd; wherein Jd represents the cooling fluctuation index, Jp represents the setting deviation index, bc and bd are both proportional coefficients, the value of bc is 0.64±0.05, the value of bd is 0.36±0.05, and bc+bd=1.

[0039] Preferably, in determining whether the cooling process of the fabric is normal according to the cooling evaluation value and generating a cooling status signal, the specific steps include:

[0040] Obtain a temperature reduction evaluation value Jc, and compare the temperature reduction evaluation value Jc with a temperature reduction evaluation threshold;

[0041] If the cooling evaluation value Jc is less than or equal to the cooling evaluation threshold, a normal cooling signal is generated; when a normal cooling signal is received, it means that the smaller the cooling evaluation value Jc is, the more normal the cooling process of the fabric is, and further analysis is needed on the reasons for the unqualified fabric production process;

[0042] If the cooling evaluation value Jc is greater than the cooling evaluation threshold, a cooling abnormality signal is generated; when a cooling abnormality signal is received, it means that the larger the cooling evaluation value Jc is, the more abnormal the cooling process of the fabric is, and further analysis is needed on the cause of the abnormal cooling process of the fabric.

[0043] Preferably, in calculating the associated evaluation value based on the abnormal cooling signal and the cooling value and the cooling setting value of the fabric, the specific steps are:

[0044] Obtain the cooling value and cooling setting value of the fabric, establish a two-dimensional coordinate system with the cooling value as the X-axis and the cooling setting value as the Y-axis, substitute the cooling setting value and the cooling value into the two-dimensional coordinate system, and generate a cooling-cooling setting correlation curve;

[0045] Obtain the coordinate value of each coordinate in the cooling-cooling setting correlation curve, calculate the ratio of the X-axis value to the Y-axis value of each coordinate, and calculate the cooling-cooling setting comparison value;

[0046] The variance of all the cooling-cooling setting comparison values ​​is calculated to obtain the associated evaluation value.

[0047] Preferably, in determining the strength of the correlation between the cooling value and the cooling setting value according to the correlation evaluation value and generating the correlation signal, the specific steps include:

[0048] Obtaining a correlation evaluation value, and comparing the correlation evaluation value with a correlation evaluation threshold;

[0049] If the correlation evaluation value is less than or equal to the correlation evaluation threshold, a large correlation signal is generated; when a large correlation signal is received, it means that the smaller the correlation evaluation value is, the greater the correlation between the cooling value and the cooling setting value is;

[0050] If the correlation evaluation value is greater than the correlation evaluation threshold, a small correlation signal is generated; when a small correlation signal is received, it means that the larger the correlation evaluation value is, the smaller the correlation between the cooling value and the cooling setting value is, and further analysis is needed on the reasons for the small correlation between the cooling value and the cooling setting value.

[0051] Preferably, in calculating the coolant usage adjustment value based on the large correlation signal and the temperature drop deviation value, the specific steps include:

[0052] The temperature drop deviation value is obtained, and the coolant usage adjustment value is calculated by the formula Lt=(Cd*α)*β; wherein Cd represents the temperature drop deviation value, α represents the influence coefficient of the temperature drop value and the temperature drop setting value, and β represents the correlation coefficient between the temperature drop setting value and the coolant usage.

[0053] Preferably, the calculation method of the influence coefficient α of the temperature difference value and the cooling deviation value is:

[0054] The cooling-cooling setting comparison value is obtained, and the average of all the cooling-cooling setting comparison values ​​is calculated to obtain the average value of the cooling-cooling setting comparison value, which is the influence coefficient α of the cooling value and the cooling setting value.

[0055] Another object of the present invention is to provide a production process control system for a novel lightweight fabric, which can implement any of the above-mentioned methods, including:

[0056] Temperature evaluation value calculation module: used to obtain temperature values, and generate a sub-region temperature scatter plot according to the temperature values; calculate the coordinate point discrete index and the out-of-range existence index according to the sub-region temperature scatter plot; calculate the temperature evaluation value according to the coordinate point discrete index and the out-of-range existence index; wherein the temperature value represents the temperature value of the fabric after cooling treatment;

[0057] Process judgment signal generation module: used to judge whether the production process of the fabric is qualified according to the temperature evaluation value, and generate a production process judgment signal; wherein the production process judgment signal includes a production process qualified signal and a production process unqualified signal;

[0058] The cooling evaluation value calculation module is used to obtain the cooling value of the fabric based on the unqualified production process signal and calculate the cooling evaluation value; wherein the cooling value represents the difference between the temperature value before the fabric is cooled and the temperature value;

[0059] A cooling state signal generating module: used to determine whether the cooling process of the fabric is normal according to the cooling evaluation value, and generate a cooling state signal; wherein the cooling state signal includes a normal cooling signal and an abnormal cooling signal;

[0060] Correlation evaluation value calculation module: used to calculate the correlation evaluation value based on the abnormal temperature drop signal, the temperature drop value of the fabric and the temperature drop setting value;

[0061] A correlation signal generating module: used to determine the strength of the correlation between the cooling value and the cooling setting value according to the correlation evaluation value, and generate a correlation signal; wherein the correlation signal includes a large correlation signal and a small correlation signal;

[0062] Coolant dosage adjustment value calculation module: based on the large correlation signal and the temperature drop deviation value, the coolant dosage adjustment value is calculated; wherein the temperature drop deviation value represents the difference between the temperature drop value of the fabric and the temperature drop setting value.

[0063] The present invention provides a novel lightweight fabric production process control method and system, which can optimize the cooling system of the novel lightweight fabric in production by accurately regulating the amount of coolant used, thereby improving the qualification rate of the novel lightweight fabric production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 A flowchart of a novel lightweight fabric production process control method provided by an embodiment of the present invention;

[0065] Figure 2 A flowchart of a temperature evaluation value calculation process provided by an embodiment of the present invention;

[0066] Figure 3A flowchart of a cooling evaluation value calculation process provided by an embodiment of the present invention;

[0067] Figure 4 A flowchart of a correlation evaluation value calculation process provided by an embodiment of the present invention;

[0068] Figure 5 A flowchart of a production process control system for a novel lightweight fabric provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below 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 intended to limit the present invention.

[0070] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0071] like Figure 1 As shown, the present invention provides a novel lightweight fabric production process control method, comprising the following steps:

[0072] S10: obtaining the temperature value of the fabric after the cooling treatment, and generating a sub-region temperature scatter plot according to the temperature value; calculating the coordinate point discrete index and the out-of-range existence index according to the sub-region temperature scatter plot; calculating the temperature evaluation value according to the coordinate point discrete index and the out-of-range existence index; wherein the temperature value represents the temperature value of the fabric after the cooling treatment;

[0073] S20: judging whether the production process of the fabric is qualified according to the temperature evaluation value, and generating a production process judgment signal; wherein the production process judgment signal includes a production process qualified signal and a production process unqualified signal;

[0074] S30: based on the production process unqualified signal, obtain the cooling value of the fabric and calculate the cooling evaluation value; wherein the cooling value represents the difference between the temperature value before the fabric is cooled and the temperature value;

[0075] S40: judging whether the cooling process of the fabric is normal according to the cooling evaluation value, and generating a cooling state signal; wherein the cooling state signal includes a normal cooling signal and an abnormal cooling signal;

[0076] S50: Based on the abnormal temperature drop signal, a correlation evaluation value is calculated according to the temperature drop value of the fabric and the temperature drop setting value;

[0077] S60: judging the strength of the correlation between the cooling value and the cooling setting value according to the correlation evaluation value, and generating a correlation signal; wherein the correlation signal includes a large correlation signal and a small correlation signal;

[0078] S70: Based on the large correlation signal and the temperature drop deviation value, a coolant usage adjustment value is calculated.

[0079] As a preferred embodiment of the present invention, in S10, the specific steps include:

[0080] S11: setting a monitoring area for the cooled fabric, dividing the monitoring area into a number of sub-areas, and obtaining fabric temperature values ​​of the fabric in the sub-areas;

[0081] A two-dimensional coordinate system is established with the monitoring area as the X-axis and the temperature value as the Y-axis. The temperature value of each monitoring sub-area is substituted into the two-dimensional coordinate system to generate a sub-area temperature scatter plot;

[0082] S12: Preset a temperature threshold, substitute the temperature threshold of each monitoring sub-area into a two-dimensional coordinate system, and generate a temperature threshold curve;

[0083] It should be explained that if the temperature thresholds of each monitoring sub-area are the same, the generated curve is a straight line; in addition, the temperature threshold is the middle value of the qualified range of fabric temperature;

[0084] By formula The discrete value Pl of the coordinate scatter point and the temperature threshold curve is calculated; where Y i It represents the Y-axis coordinate value of the temperature scatter plot of the sub-region in the two-dimensional coordinate system, Y0 represents the Y-axis coordinate value of the temperature threshold in the two-dimensional coordinate system, and n represents the number of abnormal sub-regions;

[0085] The discrete value Pl is calculated by comparing the coordinate value of the temperature threshold on the Y axis in the two-dimensional coordinate system to obtain the coordinate point discrete index; the discrete value Pl represents the average value of the difference between the fabric temperature value and the temperature threshold in all monitoring areas;

[0086] S13: Obtain a standard range of fabric temperature, substitute the qualified range of fabric temperature into a two-dimensional coordinate system, generate two temperature threshold curves, and mark them as a first temperature curve and a second temperature curve;

[0087] It should be explained that the standard temperature range of the fabric refers to the standard temperature range of the fabric after cooling, and its value is set by relevant personnel in this field;

[0088] According to the first temperature curve and the second temperature curve, the coordinates of the sub-region temperature scatter plot are screened to obtain the out-of-range coordinates of the sub-region temperature scatter plot;

[0089] The number of out-of-range coordinates is obtained, and the ratio of the number of out-of-range coordinates to the total number of coordinates in the sub-region temperature scatter plot is calculated to obtain an out-of-range existence index;

[0090] S14: By formula The temperature evaluation value Pj is calculated; wherein, Pc represents the discrete index of the coordinate point, Ps represents the existence index outside the range, ac and ad are both proportional coefficients, the value of ac is 0.48±0.05, the value of ad is 0.52±0.05, and ac+ad=1.

[0091] As a preferred embodiment of the present invention, in screening the coordinates of the sub-region temperature scatter plot, the specific steps include:

[0092] Obtain the coordinates between the first temperature curve and the second temperature curve, and mark the coordinates as within-range coordinates;

[0093] In the sub-region temperature scatter plot, the other coordinates except the coordinates within the range are marked as out-of-range coordinates.

[0094] As a preferred embodiment of the present invention, in S20, specifically including:

[0095] Obtaining a temperature evaluation value Pj, and comparing the temperature evaluation value Pj with a temperature evaluation threshold;

[0096] It should be explained that the calculation method of the temperature evaluation threshold is consistent with the temperature evaluation value Pj, which will not be repeated here; in addition, its value is set by relevant personnel in this field according to fabric production requirements;

[0097] If the temperature evaluation value Pj is less than or equal to the temperature evaluation threshold, a qualified production process signal is generated; when a qualified production process signal is received, it means that the smaller the temperature evaluation value Pj is, the higher the qualified trend of the production process is;

[0098] If the temperature evaluation value Pj is greater than the temperature evaluation threshold, a production process unqualified signal is generated; when a production process qualified signal is received, it means that the larger the temperature evaluation value Pj is, the lower the qualified trend of the production process is.

[0099] As a preferred embodiment of the present invention, in S30, the specific steps include:

[0100] S31: setting a monitoring area for the fabric before cooling, dividing the monitoring area into a plurality of sub-areas on average, and obtaining the temperature drop value of the fabric in the sub-areas;

[0101] It should be explained that the temperature drop value indicates the temperature difference between the fabric before and after cooling;

[0102] The variance of the cooling values ​​of all sub-areas is calculated to obtain the cooling fluctuation value of the fabric in the monitoring area;

[0103] The cooling fluctuation value is calculated by ratio with the cooling fluctuation threshold to obtain the cooling fluctuation index;

[0104] S32: Calculate the difference between the cooling value and the cooling setting value to obtain a cooling deviation value;

[0105] The temperature drop deviation value is calculated by ratio with the temperature drop setting value to obtain the setting deviation index;

[0106] S33: The cooling evaluation value Jc is calculated by the formula Jc=JD*bc+Jp*bd; wherein Jd represents the cooling fluctuation index, Jp represents the setting deviation index, bc and bd are both proportional coefficients, the value of bc is 0.64±0.05, the value of bd is 0.36±0.05, and bc+bd=1.

[0107] As a preferred embodiment of the present invention, in S40, the specific steps include:

[0108] Obtain a temperature reduction evaluation value Jc, and compare the temperature reduction evaluation value Jc with a temperature reduction evaluation threshold;

[0109] It should be explained that the calculation method of the cooling evaluation threshold is consistent with the cooling evaluation value Jc; in addition, its value is set by relevant personnel in this field according to the cooling requirements of the fabric;

[0110] If the cooling evaluation value Jc is less than or equal to the cooling evaluation threshold, a normal cooling signal is generated; when a normal cooling signal is received, it means that the smaller the cooling evaluation value Jc is, the more normal the cooling process of the fabric is, and further analysis is needed on the reasons for the unqualified fabric production process;

[0111] If the cooling evaluation value Jc is greater than the cooling evaluation threshold, a cooling abnormality signal is generated; when a cooling abnormality signal is received, it means that the larger the cooling evaluation value Jc is, the more abnormal the cooling process of the fabric is, and further analysis is needed on the cause of the abnormal cooling process of the fabric.

[0112] As a preferred embodiment of the present invention, in S50, the specific steps are:

[0113] S51: obtaining a cooling value and a cooling setting value of the fabric, establishing a two-dimensional coordinate system with the cooling value as the X-axis and the cooling setting value as the Y-axis, substituting the cooling setting value and the cooling value into the two-dimensional coordinate system, and generating a cooling-cooling setting association curve;

[0114] It should be explained that the cooling setting value represents the difference between the temperature of the fabric before cooling and the expected temperature value of the fabric after cooling; in addition, the expected temperature value of the fabric after cooling should be within the standard range of the fabric temperature;

[0115] S52: Obtain the coordinate value of each coordinate in the cooling-cooling setting association curve, calculate the ratio of the X-axis value to the Y-axis value of each coordinate, and calculate the cooling-cooling setting comparison value;

[0116] The variance of all the cooling-cooling setting comparison values ​​is calculated to obtain the associated evaluation value.

[0117] As a preferred embodiment of the present invention, in S60, the specific steps include:

[0118] Obtaining a correlation evaluation value, and comparing the correlation evaluation value with a correlation evaluation threshold;

[0119] It should be explained that the calculation method of the correlation evaluation threshold is consistent with that of the correlation evaluation value; in addition, the value of the correlation evaluation threshold is set by relevant personnel in this field according to the cooling efficiency requirements of the coolant;

[0120] If the correlation evaluation value is less than or equal to the correlation evaluation threshold, a large correlation signal is generated; when a large correlation signal is received, it means that the smaller the correlation evaluation value is, the greater the correlation between the cooling value and the cooling setting value is;

[0121] If the correlation evaluation value is greater than the correlation evaluation threshold, a small correlation signal is generated; when a small correlation signal is received, it means that the larger the correlation evaluation value is, the smaller the correlation between the cooling value and the cooling setting value is, and the reason for the small correlation between the cooling value and the cooling setting value needs to be further analyzed;

[0122] It needs to be explained that the correlation between the cooling value and the cooling setting value can be understood as judging whether the reason for the inconsistency between the cooling setting value and the cooling value is due to the cooling conversion efficiency of the cooling system. The greater the correlation, the higher the influence of the cooling conversion efficiency of the cooling system, and vice versa.

[0123] As a preferred embodiment of the present invention, in S70, the specific steps include:

[0124] The temperature drop deviation value is obtained, and the coolant usage adjustment value is calculated by the formula Lt=(Cd*α)*β; wherein Cd represents the temperature drop deviation value, α represents the influence coefficient of the temperature drop value and the temperature drop setting value, and β represents the correlation coefficient between the temperature drop setting value and the coolant usage.

[0125] As a preferred embodiment of the present invention, the calculation method of the influence coefficient α of the temperature difference value and the temperature drop deviation value is:

[0126] The cooling-cooling setting comparison value is obtained, and the average of all the cooling-cooling setting comparison values ​​is calculated to obtain the average value of the cooling-cooling setting comparison value, which is the influence coefficient α of the cooling value and the cooling setting value.

[0127] A production process control system for a novel lightweight fabric, the system being capable of implementing any of the above-mentioned methods, comprising:

[0128] Temperature evaluation value calculation module 10: used to obtain the temperature value of the fabric after cooling treatment, and generate a sub-region temperature scatter plot according to the temperature value; calculate the coordinate point discrete index and the out-of-range existence index according to the sub-region temperature scatter plot; calculate the temperature evaluation value according to the coordinate point discrete index and the out-of-range existence index;

[0129] Process judgment signal generating module 20: used to judge whether the production process of the fabric is qualified according to the temperature evaluation value, and generate a production process judgment signal; wherein the production process judgment signal includes a production process qualified signal and a production process unqualified signal;

[0130] The cooling evaluation value calculation module 30 is used to obtain the cooling value of the fabric based on the production process unqualified signal, and calculate the cooling evaluation value; wherein the cooling value represents the difference between the temperature value before the fabric is cooled and the temperature value;

[0131] A cooling state signal generating module 40 is used to determine whether the cooling process of the fabric is normal according to the cooling evaluation value, and generate a cooling state signal; wherein the cooling state signal includes a normal cooling signal and an abnormal cooling signal;

[0132] The associated evaluation value calculation module 50 is used to calculate the associated evaluation value based on the abnormal temperature drop signal, the temperature drop value of the fabric and the temperature drop setting value;

[0133] A correlation signal generating module 60 is used to determine the strength of the correlation between the cooling value and the cooling setting value according to the correlation evaluation value, and generate a correlation signal; wherein the correlation signal includes a large correlation signal and a small correlation signal;

[0134] Coolant dosage adjustment value calculation module 70: based on the large correlation signal and the temperature drop deviation value, calculates the coolant dosage adjustment value; wherein the temperature drop deviation value represents the difference between the temperature drop value of the fabric and the temperature drop setting value.

[0135] Preferably, in the production of new lightweight fabrics, three materials need to be prepared, namely, silk fabric, spandex polyurethane fiber fabric, and high-density sponge fluffy layer. The high-density sponge fluffy layer is arranged between the silk fabric and the spandex polyurethane fiber fabric, and the three layers of materials are subjected to cold and hot pressing treatment. During the hot pressing process, the fabric is subjected to high temperature and pressure, which enables the fibers in the fabric to be more closely combined together, thereby improving the mechanical strength and water resistance of the fabric. After the hot pressing is completed, the temperature needs to be lowered by a cooling device to fix the shape and structure of the fabric, thereby completing the production of the new lightweight fabric.

[0136] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A production process control method for a new type of lightweight fabric, characterized in that: include: The temperature value of the fabric after cooling treatment is obtained, and a sub-region temperature scatter plot is generated according to the temperature value; a coordinate point discrete index and an out-of-range existence index are calculated according to the sub-region temperature scatter plot; a temperature evaluation value is calculated according to the coordinate point discrete index and the out-of-range existence index; According to the temperature evaluation value, whether the production process of the fabric is qualified is judged, and a production process judgment signal is generated; wherein the production process judgment signal includes a production process qualified signal and a production process unqualified signal; Based on the production process unqualified signal, the cooling value of the fabric is obtained, and the cooling evaluation value is calculated; wherein the cooling value represents the difference between the temperature value before the fabric is cooled and the temperature value; According to the cooling evaluation value, it is judged whether the cooling process of the fabric is normal, and a cooling status signal is generated; wherein the cooling status signal includes a normal cooling signal and an abnormal cooling signal; Based on the abnormal temperature drop signal, the associated evaluation value is calculated according to the temperature drop value of the fabric and the temperature drop setting value; According to the correlation evaluation value, the strength of the correlation between the cooling value and the cooling setting value is judged, and a correlation signal is generated; wherein the correlation signal includes a large correlation signal and a small correlation signal; Based on the large correlated signal, the coolant dosage adjustment value is calculated according to the temperature drop deviation value; wherein the temperature drop deviation value represents the difference between the temperature drop value of the fabric and the temperature drop setting value.

2. The production process control method of a novel lightweight fabric according to claim 1 is characterized in that: After obtaining the temperature value of the fabric after cooling treatment, a sub-region temperature scatter plot is generated according to the temperature value; according to the sub-region temperature scatter plot, a coordinate point discrete index and an out-of-range existence index are calculated; According to the coordinate point discrete index and the out-of-range existence index, the temperature evaluation value is calculated. The specific steps include: A monitoring area is set for the cooled fabric, the monitoring area is evenly divided into several sub-areas, and the fabric temperature values ​​of the fabric in the sub-areas are obtained; A two-dimensional coordinate system is established with the monitoring area as the X-axis and the temperature value as the Y-axis. The temperature value of each monitoring sub-area is substituted into the two-dimensional coordinate system to generate a sub-area temperature scatter plot; Preset the temperature threshold, substitute the temperature threshold of each monitoring sub-area into the two-dimensional coordinate system, and generate a temperature threshold curve; If the temperature thresholds of each monitoring sub-area are the same, the generated curve is a straight line; in addition, the temperature threshold is the middle value of the qualified range of fabric temperature; By formula The discrete value Pl of the coordinate scatter point and the temperature threshold curve is calculated; where Y i It represents the Y-axis coordinate value of the temperature scatter plot of the sub-region in the two-dimensional coordinate system, Y0 represents the Y-axis coordinate value of the temperature threshold in the two-dimensional coordinate system, and n represents the number of abnormal sub-regions; The discrete value Pl is calculated by comparing the coordinate value of the temperature threshold on the Y axis in the two-dimensional coordinate system to obtain the coordinate point discrete index; the discrete value Pl represents the average value of the difference between the fabric temperature value and the temperature threshold in all monitoring areas; Obtain the standard range of fabric temperature, substitute the qualified range of fabric temperature into the two-dimensional coordinate system, generate two temperature threshold curves, and mark them as the first temperature curve and the second temperature curve; According to the first temperature curve and the second temperature curve, the coordinates of the sub-region temperature scatter plot are screened to obtain the out-of-range coordinates of the sub-region temperature scatter plot; The number of out-of-range coordinates is obtained, and the ratio of the number of out-of-range coordinates to the total number of coordinates in the sub-region temperature scatter plot is calculated to obtain an out-of-range existence index; By formula The temperature evaluation value Pj is calculated; wherein Pc represents the discrete index of the coordinate point, Ps represents the existence index outside the range, ac and ad are both proportional coefficients, the value of ac is 0.48±0.05, the value of ad is 0.52±0.05, and ac+ad=1; The specific steps for screening the coordinates of the sub-region temperature scatter plot are as follows: Obtain the coordinates between the first temperature curve and the second temperature curve, and mark the coordinates as within-range coordinates; In the sub-region temperature scatter plot, the other coordinates except the coordinates within the range are marked as out-of-range coordinates.

3. The production process control method of a novel lightweight fabric according to claim 1 is characterized in that: In judging whether the production process of the fabric is qualified according to the temperature evaluation value and generating a production process judgment signal, the specific steps include: Obtaining a temperature evaluation value Pj, and comparing the temperature evaluation value Pj with a temperature evaluation threshold; If the temperature evaluation value Pj is less than or equal to the temperature evaluation threshold, a qualified production process signal is generated; when a qualified production process signal is received, it means that the smaller the temperature evaluation value Pj is, the higher the qualified trend of the production process is; If the temperature evaluation value Pj is greater than the temperature evaluation threshold, a production process unqualified signal is generated; when a production process qualified signal is received, it means that the larger the temperature evaluation value Pj is, the lower the qualified trend of the production process is.

4. The production process control method of a novel lightweight fabric according to claim 3 is characterized in that: In obtaining the cooling value of the fabric based on the unqualified production process signal and calculating the cooling evaluation value, the specific steps include: A monitoring area is set for the fabric before cooling, and the monitoring area is evenly divided into several sub-areas to obtain the cooling value of the fabric in the sub-areas; The variance of the cooling values ​​of all sub-areas is calculated to obtain the cooling fluctuation value of the fabric in the monitoring area; The cooling fluctuation value is calculated by ratio with the cooling fluctuation threshold to obtain the cooling fluctuation index; Calculate the difference between the cooling value and the cooling setting value to obtain the cooling deviation value; The temperature drop deviation value is calculated by ratio with the temperature drop setting value to obtain the setting deviation index; The cooling evaluation value Jc is calculated by the formula Jc=Jd*bc+Jp*bd; wherein Jd represents the cooling fluctuation index, Jp represents the setting deviation index, bc and bd are both proportional coefficients, the value of bc is 0.64±0.05, the value of bd is 0.36±0.05, and bc+bd=1.

5. The production process control method of a novel lightweight fabric according to claim 4 is characterized in that: In determining whether the cooling process of the fabric is normal according to the cooling evaluation value and generating a cooling status signal, the specific steps include: Obtain a temperature reduction evaluation value Jc, and compare the temperature reduction evaluation value Jc with a temperature reduction evaluation threshold; If the cooling evaluation value Jc is less than or equal to the cooling evaluation threshold, a normal cooling signal is generated; when a normal cooling signal is received, it means that the smaller the cooling evaluation value Jc is, the more normal the cooling process of the fabric is, and further analysis is needed on the reasons for the unqualified fabric production process; If the cooling evaluation value Jc is greater than the cooling evaluation threshold, a cooling abnormality signal is generated; when a cooling abnormality signal is received, it means that the larger the cooling evaluation value Jc is, the more abnormal the cooling process of the fabric is, and further analysis is needed on the cause of the abnormal cooling process of the fabric.

6. The production process control method of a novel lightweight fabric according to claim 1 is characterized in that: In calculating the associated evaluation value based on the abnormal temperature drop signal and the temperature drop value of the fabric and the temperature drop setting value, the specific steps are as follows: Obtain the cooling value and cooling setting value of the fabric, establish a two-dimensional coordinate system with the cooling value as the X-axis and the cooling setting value as the Y-axis, substitute the cooling setting value and the cooling value into the two-dimensional coordinate system, and generate a cooling-cooling setting correlation curve; Obtain the coordinate value of each coordinate in the cooling-cooling setting correlation curve, calculate the ratio of the X-axis value to the Y-axis value of each coordinate, and calculate the cooling-cooling setting comparison value; The variance of all the cooling-cooling setting comparison values ​​is calculated to obtain the associated evaluation value.

7. The production process control method of a novel lightweight fabric according to claim 6 is characterized in that: In determining the strength of the correlation between the cooling value and the cooling setting value according to the correlation evaluation value and generating the correlation signal, the specific steps include: Obtaining a correlation evaluation value, and comparing the correlation evaluation value with a correlation evaluation threshold; If the correlation evaluation value is less than or equal to the correlation evaluation threshold, a large correlation signal is generated; when a large correlation signal is received, it means that the smaller the correlation evaluation value is, the greater the correlation between the cooling value and the cooling setting value is; If the correlation evaluation value is greater than the correlation evaluation threshold, a small correlation signal is generated; when a small correlation signal is received, it means that the larger the correlation evaluation value is, the smaller the correlation between the cooling value and the cooling setting value is, and further analysis is needed on the reasons for the small correlation between the cooling value and the cooling setting value.

8. The production process control method of a novel lightweight fabric according to claim 6 is characterized in that: In calculating the coolant usage adjustment value based on the large correlation signal and the temperature drop deviation value, the specific steps include: The temperature drop deviation value is obtained, and the coolant usage adjustment value is calculated by the formula Lt=(Cd*α)*β; wherein Cd represents the temperature drop deviation value, α represents the influence coefficient of the temperature drop value and the temperature drop setting value, and β represents the correlation coefficient between the temperature drop setting value and the coolant usage.

9. The production process control method of a novel lightweight fabric according to claim 6 is characterized in that: The calculation method of the influence coefficient α of the temperature difference value and the temperature drop deviation value is: The cooling-cooling setting comparison value is obtained, and the average of all the cooling-cooling setting comparison values ​​is calculated to obtain the average value of the cooling-cooling setting comparison value, which is the influence coefficient α of the cooling value and the cooling setting value.

10. A new type of lightweight fabric production process control system, characterized in that: The system can implement the method described in any one of claims 1 to 9, including: Temperature evaluation value calculation module: used to obtain temperature values, and generate a sub-region temperature scatter plot according to the temperature values; calculate the coordinate point discrete index and the out-of-range existence index according to the sub-region temperature scatter plot; calculate the temperature evaluation value according to the coordinate point discrete index and the out-of-range existence index; wherein the temperature value represents the temperature value of the fabric after cooling treatment; Process judgment signal generation module: used to judge whether the production process of the fabric is qualified according to the temperature evaluation value, and generate a production process judgment signal; wherein the production process judgment signal includes a production process qualified signal and a production process unqualified signal; The cooling evaluation value calculation module is used to obtain the cooling value of the fabric based on the unqualified production process signal and calculate the cooling evaluation value; wherein the cooling value represents the difference between the temperature value before the fabric is cooled and the temperature value; A cooling state signal generating module: used to determine whether the cooling process of the fabric is normal according to the cooling evaluation value, and generate a cooling state signal; wherein the cooling state signal includes a normal cooling signal and an abnormal cooling signal; Correlation evaluation value calculation module: used to calculate the correlation evaluation value based on the abnormal temperature drop signal, the temperature drop value of the fabric and the temperature drop setting value; A correlation signal generating module: used to determine the strength of the correlation between the cooling value and the cooling setting value according to the correlation evaluation value, and generate a correlation signal; wherein the correlation signal includes a large correlation signal and a small correlation signal; Coolant dosage adjustment value calculation module: based on the large correlation signal and the temperature drop deviation value, the coolant dosage adjustment value is calculated; wherein the temperature drop deviation value represents the difference between the temperature drop value of the fabric and the temperature drop setting value.

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