Synthetic leather on-line drying regulation and control management method

Abstract

The invention discloses a synthetic leather on-line drying regulation and control management method, which comprises the following steps: S1, constructing a relation model of color to infrared reflectivity, and obtaining a calculation formula of influence parameters of color to infrared reflectivity; s2, constructing a relation model of the environment temperature to the infrared light reflectivity, and obtaining a calculation formula of a correction factor of the environment temperature to the infrared light reflectivity; s3, constructing a relation model of the environment humidity to the infrared reflectivity, and obtaining a calculation formula of a correction factor of the environment humidity to the infrared reflectivity; s4, respectively arranging an infrared spectrometer, a color sensor and a temperature and humidity sensor above the synthetic leather at the outlet of the drying oven; s5, correcting the actually measured moisture content according to the real-time color information, the environment temperature and the environment humidity to obtain the corrected moisture content of the synthetic leather; and S6, based on the real-time corrected water content of the synthetic leather, the temperature and the air volume of the drying oven are adjusted, so that the synthetic leather is dried to the required water content by the drying oven.

Description

Technical Field

[0001] The invention relates to the technical field of industrial measurement, and in particular to an online drying control and management method for synthetic leather. Background Art

[0002] In the production process of synthetic leather, the pre-solidified base (synthetic leather semi-finished product) needs to be put into the oven for drying to remove the solvent and further solidify the coating. The temperature and wind speed of the oven directly affect the moisture content of the synthetic leather. The moisture content is a key factor affecting the physical properties of synthetic leather such as strength, flexibility and wear resistance. Therefore, the precise control of the moisture content of synthetic leather is crucial to ensure product quality and optimize the production process.

[0003] The traditional method of testing the moisture content of synthetic leather is generally to cut a part of the synthetic leather after the oven, and calculate the moisture content through the moisture drying and weighing method in the laboratory. This method is not only time-consuming, but also damages the products in the production line and causes waste of leather damage. At the same time, it is impossible to control the temperature and air volume of the oven in real time according to the moisture content of the synthetic leather, resulting in a large waste of energy. Summary of the invention

[0004] To solve the above problems, the present invention proposes a method for online drying control and management of synthetic leather. The method realizes online real-time detection and correction of the moisture content of synthetic leather by integrating Internet of Things technology, environmental factor collection and correction algorithm, and can automatically adjust the temperature and air volume of the oven according to the corrected moisture content of the synthetic leather, so as to achieve the purpose of reducing resource waste, saving energy and improving production efficiency.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A synthetic leather online drying control management method comprises the following steps: S1. Construct a color-to-infrared reflectivity relationship model to obtain a calculation formula for the influencing parameters of color on infrared reflectivity; S2. Construct a relationship model between ambient temperature and infrared light reflectivity, and obtain a calculation formula for the correction factor of ambient temperature to infrared reflectivity; S3, constructing a relationship model between ambient humidity and infrared light reflectivity, and obtaining a calculation formula for a correction factor of ambient humidity to infrared reflectivity; S4, respectively placing an infrared spectrometer, a color sensor and a temperature and humidity sensor above the synthetic leather at the oven outlet; the infrared spectrometer is used to measure the actual moisture content of the synthetic leather in real time, the color sensor is used to capture the color information of the surface of the synthetic leather in real time, and the temperature and humidity sensor is used to monitor the ambient temperature and humidity in real time; S5. According to the real-time color information, ambient temperature and ambient humidity, the color influencing parameter on infrared reflectivity, the ambient temperature correction factor on infrared reflectivity and the ambient humidity correction factor on infrared reflectivity are substituted into the calculation formula, and the measured moisture content is corrected to obtain the corrected moisture content of the synthetic leather. The calculation formula is: W2=W1 (1+C)+Tc+Hc, where W2 is the corrected moisture content of synthetic leather; W1 is the actual moisture content of synthetic leather measured by infrared spectrometer in real time; C is the parameter affecting color on infrared reflectivity; Tc is the correction factor of ambient temperature on infrared reflectivity; Hc is the correction factor of ambient humidity on infrared reflectivity; S6. Based on the real-time corrected moisture content of the synthetic leather, adjust the temperature and air volume of the oven so that the oven can dry the synthetic leather to a desired moisture content.

[0006] Preferably, the specific process of step S1 is: S11, selecting synthetic leather samples with different colors but the same moisture content, and measuring the RGB value of each synthetic leather sample using a color sensor; S12. using an infrared moisture meter to measure the reflectivity of each synthetic leather sample at a specific infrared wavelength, and recording the RGB value and infrared reflectivity of the synthetic leather sample; S13, normalize the RGB value, the normalization formula is: , , in, is the normalized value of the red channel; It is the normalized value of the green channel; is the normalized value of the blue channel; R is the unnormalized value of the red channel; G is the unnormalized value of the green channel; B is the unnormalized value of the blue channel; , and The values ​​of are all 0; , and The value of is 255; S14. A quadratic polynomial is used to capture the nonlinear relationship between RGB values ​​and infrared reflectivity. The polynomial regression model between RGB values ​​and infrared reflectivity is: F= + + + + ²+ ²+ ²+ + + , where F is the infrared reflectivity; is the normalized value of the red channel; It is the normalized value of the green channel; is the normalized value of the blue channel; , , ,..., are the polynomial regression model parameters; S15, based on step S14 , ,..., The parameter value of the color on the infrared reflectivity is calculated as follows: C= + + + ²+ ²+ ²+ + + , where C is the parameter that affects the infrared reflectivity.

[0007] Preferably, the specific process of step S2 is: S21. Select synthetic leather samples with the same color and moisture content, change the temperature in a controlled environment, and measure the infrared reflectivity of the synthetic leather samples at different ambient temperatures; S22. A linear regression model is used to describe the relationship between ambient temperature and infrared reflectivity. The calculation formula of the linear regression model is: F = + +T, where F is the infrared reflectivity; is the intercept term; is the coefficient of ambient temperature, used to indicate the effect of one degree change in temperature on infrared reflectivity; T is the ambient temperature; S23, based on step S22 The parameter value, the calculation formula of the correction factor of ambient temperature to infrared reflectivity is: Tc= , where Tc is the correction factor of ambient temperature to infrared reflectivity.

[0008] Preferably, the specific process of step S3 is: S31. Selecting synthetic leather samples with the same color and moisture content, changing the humidity in a controlled environment, and measuring the infrared reflectivity of the synthetic leather samples under different ambient humidity; S32. A linear regression model is used to describe the relationship between ambient humidity and infrared reflectivity. The calculation formula of the linear regression model is: F= + +H, where F is the infrared reflectivity; is the intercept term; is the coefficient of ambient humidity, used to indicate the effect of one unit change in humidity on infrared reflectivity; H is ambient humidity; S33, based on step S32 The parameter value, the calculation formula of the correction factor of ambient humidity to infrared reflectivity is: Hc= , where Hc is the correction factor of ambient humidity to infrared reflectivity.

[0009] Preferably, the specific process of step S6 is: When the corrected moisture content of synthetic leather is higher than the set standard threshold, the background control center sends an accelerated drying instruction to the oven to increase the oven temperature and air volume; When the corrected moisture content of synthetic leather is lower than the set standard threshold, the background control center sends a deceleration drying instruction to the oven to reduce the oven temperature and air volume; When the corrected moisture content of the synthetic leather is equal to the set standard threshold, the existing oven operating parameters are maintained.

[0010] After adopting the above technical scheme, the present invention has the following beneficial effects: the method of the present invention integrates the Internet of Things technology, environmental factor collection and correction algorithm, and on the basis of using an infrared spectrometer to measure the actual moisture content of synthetic leather in real time, measures the surface color, environmental stability and ambient humidity of the synthetic leather at the outlet of the oven in real time according to a color sensor and a temperature and humidity sensor, and then corrects the actual moisture content in combination with the real-time color information, ambient temperature and ambient humidity, thereby realizing online real-time and accurate detection and correction of the moisture content of synthetic leather, and being able to automatically adjust the temperature and air volume of the oven according to the corrected moisture content of the synthetic leather, so as to achieve the purpose of reducing resource waste, saving energy and improving production efficiency, and finally achieving real-time monitoring and accurate control of the moisture content of synthetic leather, and improving production response speed and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 The present invention is a schematic diagram of the position structure of the infrared spectrometer, color sensor, temperature and humidity sensor, oven and synthetic leather. DETAILED DESCRIPTION

[0012] 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 embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0013] like Figure 1 to Figure 2 As shown, a synthetic leather online drying control management method comprises the following steps: S1. Construct a color-to-infrared reflectivity relationship model to obtain a calculation formula for the influencing parameters of color on infrared reflectivity; The specific process of step S1 is: S11, selecting synthetic leather samples with different colors but the same moisture content, and measuring the RGB value of each synthetic leather sample using a color sensor; S12. using an infrared moisture meter to measure the reflectivity of each synthetic leather sample at a specific infrared wavelength, and recording the RGB value and infrared reflectivity of the synthetic leather sample; S13, normalize the RGB value, the normalization formula is: , , in, is the normalized value of the red channel; It is the normalized value of the green channel; is the normalized value of the blue channel; R is the unnormalized value of the red channel; G is the unnormalized value of the green channel; B is the unnormalized value of the blue channel; , and The values ​​of are all 0; , and The value of is 255; S14. A quadratic polynomial is used to capture the nonlinear relationship between RGB values ​​and infrared reflectivity. The polynomial regression model between RGB values ​​and infrared reflectivity is: F= + + + + ²+ ²+ ²+ + + , where F is the infrared reflectivity; is the normalized value of the red channel; It is the normalized value of the green channel; is the normalized value of the blue channel; , , ,..., are the polynomial regression model parameters; S15, based on step S14 , ,..., The parameter value of the color on the infrared reflectivity is calculated as follows: C= + + + ²+ ²+ ²+ + + , where C is the parameter that affects the infrared reflectivity; S2. Construct a relationship model between ambient temperature and infrared light reflectivity, and obtain a calculation formula for the correction factor of ambient temperature to infrared reflectivity; The specific process of step S2 is: S21. Select synthetic leather samples with the same color and moisture content, change the temperature in a controlled environment, and measure the infrared reflectivity of the synthetic leather samples at different ambient temperatures; S22. A linear regression model is used to describe the relationship between ambient temperature and infrared reflectivity. The calculation formula of the linear regression model is: F = + +T, where F is the infrared reflectivity; is the intercept term; is the coefficient of ambient temperature, used to indicate the effect of one degree change in temperature on infrared reflectivity; T is the ambient temperature; S23, based on step S22 The parameter value, the calculation formula of the correction factor of ambient temperature to infrared reflectivity is: Tc= , where Tc is the correction factor of ambient temperature to infrared reflectivity; S3, constructing a relationship model between ambient humidity and infrared light reflectivity, and obtaining a calculation formula for a correction factor of ambient humidity to infrared reflectivity; The specific process of step S3 is: S31. Selecting synthetic leather samples with the same color and moisture content, changing the humidity in a controlled environment, and measuring the infrared reflectivity of the synthetic leather samples under different ambient humidity; S32. A linear regression model is used to describe the relationship between ambient humidity and infrared reflectivity. The calculation formula of the linear regression model is: F= + +H, where F is the infrared reflectivity; is the intercept term; is the coefficient of ambient humidity, used to indicate the effect of one unit change in humidity on infrared reflectivity; H is ambient humidity; S33, based on step S32 The parameter value, the calculation formula of the correction factor of ambient humidity to infrared reflectivity is: Hc= , where Hc is the correction factor of ambient humidity to infrared reflectivity; S4, respectively placing an infrared spectrometer, a color sensor and a temperature and humidity sensor above the synthetic leather at the oven outlet; the infrared spectrometer is used to measure the actual moisture content of the synthetic leather in real time, the color sensor is used to capture the color information of the surface of the synthetic leather in real time, and the temperature and humidity sensor is used to monitor the ambient temperature and humidity in real time; S5. According to the real-time color information, ambient temperature and ambient humidity, the color influencing parameter on infrared reflectivity, the ambient temperature correction factor on infrared reflectivity and the ambient humidity correction factor on infrared reflectivity are substituted into the calculation formula, and the measured moisture content is corrected to obtain the corrected moisture content of the synthetic leather. The calculation formula is: W2=W1 (1+C)+Tc+Hc, Wherein, W2 is the corrected moisture content of synthetic leather; W1 is the actual moisture content of synthetic leather measured by infrared spectrometer in real time; C is the parameter affecting color on infrared reflectivity; Tc is the correction factor of ambient temperature on infrared reflectivity; Hc is the correction factor of ambient humidity on infrared reflectivity; S6. Based on the real-time corrected moisture content of the synthetic leather, adjust the temperature and air volume of the oven so that the oven dries the synthetic leather to a desired moisture content; The specific process of step S6 is: When the corrected moisture content of synthetic leather is higher than the set standard threshold, the background control center sends an accelerated drying instruction to the oven to increase the oven temperature and air volume; When the corrected moisture content of synthetic leather is lower than the set standard threshold, the background control center sends a deceleration drying instruction to the oven to reduce the oven temperature and air volume; When the corrected moisture content of the synthetic leather is equal to the set standard threshold, the existing oven operating parameters are maintained.

[0014] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for controlling and managing online drying of synthetic leather, characterized in that: The following steps are involved: S1. Construct a color-to-infrared reflectivity relationship model to obtain a calculation formula for the influencing parameters of color on infrared reflectivity; S2. Construct a relationship model between ambient temperature and infrared light reflectivity, and obtain a calculation formula for the correction factor of ambient temperature to infrared reflectivity; S3, constructing a relationship model between ambient humidity and infrared light reflectivity, and obtaining a calculation formula for a correction factor of ambient humidity to infrared reflectivity; S4, respectively placing an infrared spectrometer, a color sensor, and a temperature and humidity sensor above the synthetic leather at the oven exit; The infrared spectrometer is used to measure the actual moisture content of synthetic leather in real time, the color sensor is used to capture the color information of the synthetic leather surface in real time, and the temperature and humidity sensor is used to monitor the ambient temperature and humidity in real time; S5. According to the real-time color information, ambient temperature and ambient humidity, the color influencing parameter on infrared reflectivity, the ambient temperature correction factor on infrared reflectivity and the ambient humidity correction factor on infrared reflectivity are substituted into the calculation formula, and the measured moisture content is corrected to obtain the corrected moisture content of the synthetic leather. The calculation formula is: W2=W1 (1+C)+Tc+Hc, where W2 is the corrected moisture content of synthetic leather; W1 is the actual moisture content of synthetic leather measured by infrared spectrometer in real time; C is the parameter affecting color on infrared reflectivity; Tc is the correction factor of ambient temperature on infrared reflectivity; Hc is the correction factor of ambient humidity on infrared reflectivity; S6. Based on the real-time corrected moisture content of the synthetic leather, adjust the temperature and air volume of the oven so that the oven can dry the synthetic leather to a desired moisture content.

2. A synthetic leather online drying control management method as claimed in claim 1, characterized in that: The specific process of step S1 is: S11, selecting synthetic leather samples with different colors but the same moisture content, and measuring the RGB value of each synthetic leather sample using a color sensor; S12. using an infrared moisture meter to measure the reflectivity of each synthetic leather sample at a specific infrared wavelength, and recording the RGB value and infrared reflectivity of the synthetic leather sample; S13, normalize the RGB value, the normalization formula is: , , in, is the normalized value of the red channel; It is the normalized value of the green channel; is the normalized value of the blue channel; R is the unnormalized value of the red channel; G is the unnormalized value of the green channel; B is the unnormalized value of the blue channel; , and The values ​​of are all 0; , and The value of is 255; S14. A quadratic polynomial is used to capture the nonlinear relationship between RGB values ​​and infrared reflectivity. The polynomial regression model between RGB values ​​and infrared reflectivity is: F= + + + + ²+ ²+ ²+ + + , where F is the infrared reflectivity; is the normalized value of the red channel; It is the normalized value of the green channel; is the normalized value of the blue channel; , , ,..., are the polynomial regression model parameters; S15, based on step S14 , ,..., The parameter value of the color on the infrared reflectivity is calculated as follows: C= + + + ²+ ²+ ²+ + + , where C is the parameter that affects the infrared reflectivity.

3. A synthetic leather online drying control management method as claimed in claim 1, characterized in that: The specific process of step S2 is: S21. Select synthetic leather samples with the same color and moisture content, change the temperature in a controlled environment, and measure the infrared reflectivity of the synthetic leather samples at different ambient temperatures; S22. A linear regression model is used to describe the relationship between ambient temperature and infrared reflectivity. The calculation formula of the linear regression model is: F = + +T, where F is the infrared reflectivity; is the intercept term; is the coefficient of ambient temperature, used to indicate the effect of one degree change in temperature on infrared reflectivity; T is the ambient temperature; S23, based on step S22 The parameter value, the calculation formula of the correction factor of ambient temperature to infrared reflectivity is: Tc= , where Tc is the correction factor of ambient temperature to infrared reflectivity.

4. The method for controlling and managing online drying of synthetic leather according to claim 1, characterized in that: The specific process of step S3 is: S31. Selecting synthetic leather samples with the same color and moisture content, changing the humidity in a controlled environment, and measuring the infrared reflectivity of the synthetic leather samples under different ambient humidity; S32. A linear regression model is used to describe the relationship between ambient humidity and infrared reflectivity. The calculation formula of the linear regression model is: F= + +H, where F is the infrared reflectivity; is the intercept term; is the coefficient of ambient humidity, used to indicate the effect of one unit change in humidity on infrared reflectivity; H is ambient humidity; S33, based on step S32 The parameter value, the calculation formula of the correction factor of ambient humidity to infrared reflectivity is: Hc= , where Hc is the correction factor of ambient humidity to infrared reflectivity.

5. The method for controlling and managing online drying of synthetic leather according to claim 1, characterized in that: The specific process of step S6 is: When the corrected moisture content of synthetic leather is higher than the set standard threshold, the background control center sends an accelerated drying instruction to the oven to increase the oven temperature and air volume; When the corrected moisture content of synthetic leather is lower than the set standard threshold, the background control center sends a deceleration drying instruction to the oven to reduce the oven temperature and air volume; When the corrected moisture content of the synthetic leather is equal to the set standard threshold, the existing oven operating parameters are maintained.

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