A surface quality detection method and system for coated cloth

Abstract

The present invention relates to the technical field of coated cloth detection, and discloses a surface quality detection method and system for coated cloth, including mechanically causing friction material to reciprocate and periodically rub the surface of the coated cloth, and detecting the real-time thickness and number of surface defects of the coated cloth after each friction cycle, calculating the mean value of the thickness reduction and the fluctuation value of the thickness reduction of the coated cloth within one cycle, and calculating the mean value of the incremental number of defects on the surface of the coated cloth and the incremental fluctuation value of the number of defects within one cycle. By calculating the number of cycles of the estimated thickness test of the coated cloth surface, the system can know its durability in advance when the coated cloth surface is not worn out, and there is no need to use friction material to wear the coated cloth surface to damage during each detection, thereby achieving the purpose of saving detection time and improving detection efficiency, and is more suitable for the surface quality inspection needs of coated cloth in large-scale production.

Description

Technical Field

[0001] The present invention relates to the technical field of coated cloth detection, and in particular to a surface quality detection method and system for coated cloth. Background Art

[0002] Coated fabric is a composite material made by coating one or more layers of functional materials (such as polyurethane, polyvinyl chloride, silicone, etc.) on the surface of a base fabric (such as cotton fabric, chemical fiber fabric, non-woven fabric, etc.). Coated fabric has the dual advantages of base fabric and coating material, and is widely used in the fields of waterproof, fireproof, oil-proof, anti-fouling, and UV resistance. Common coated fabrics include waterproof fabrics, tent fabrics, raincoat fabrics, sunshade fabrics, etc.

[0003] The surface quality inspection of coated cloth refers to the evaluation of the physical properties of the surface of coated cloth to ensure its reliability and durability in practical applications. The traditional surface quality inspection method of coated cloth requires the use of a specific inspection machine to make the friction material move back and forth on the surface of the coated cloth to simulate the actual wear conditions, until the surface of the coated cloth is rubbed to damage, and then the surface quality of the coated cloth is judged by the number of frictions and damage conditions to see whether it meets the requirements.

[0004] However, this detection method often requires the friction material to rub against the surface of the coated cloth for a large number of times, so that the coated cloth is not damaged before judging the durability of the surface, which results in a long detection time. The efficiency of the surface quality detection of the coated cloth is not ideal, and it is difficult to meet the needs of rapid detection in large-scale production.

[0005] To this end, the present invention provides a method and system for detecting the surface quality of a coated cloth. Summary of the invention

[0006] The purpose of the present invention is to provide a surface quality detection method and system for coated cloth, which is used to solve the technical problem that the current method of using friction materials to perform friction detection on the surface of coated cloth is time-consuming and leads to low detection efficiency.

[0007] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a surface quality detection method of a coated cloth, comprising the following steps:

[0008] The friction material is mechanically made to rub the surface of the coated cloth periodically in a reciprocating manner, and the real-time thickness and the number of surface defects of the coated cloth are detected after each friction cycle, and the mean value of the thickness reduction and the fluctuation value of the thickness reduction of the coated cloth in one cycle are calculated, and the mean value of the incremental number of defects on the coated cloth in one cycle and the incremental fluctuation value of the number of defects are calculated;

[0009] Obtain the preset minimum acceptable thickness in the coated fabric detection, and combine it with the real-time thickness of the current coated fabric to calculate the minimum remaining thickness detection cycle number of the current coated fabric;

[0010] The maximum acceptable number of surface defects preset in the coated fabric detection is obtained, and combined with the number of surface defects of the current coated fabric, the minimum number of remaining surface defect detection cycles of the current coated fabric is calculated;

[0011] The minimum remaining thickness test cycles and the minimum remaining surface defect test cycles of the current coated cloth are summed with the number of cycles that have been tested to obtain the expected thickness test cycles and the expected surface defect test cycles of the coated cloth. The expected thickness test cycles and the expected surface defect test cycles are compared with the preset qualified test cycles, and corresponding feedback is given to the surface quality of the coated cloth based on the comparison results.

[0012] Preferably, the average thickness reduction of the coated cloth within one cycle is calculated. and thickness reduction fluctuation value , the corresponding average thickness reduction of the coated cloth in one cycle and thickness reduction fluctuation value The calculation formula is as follows:

[0013] in, Indicates The thickness of the coated cloth detected, , is a positive integer, which represents the total number of thickness tests performed in one cycle. Indicates the thickness reduction in each test within a cycle.

[0014] Preferably, the thickness reduction of each test within one cycle is , is obtained by calculating the difference between the initial thickness at the beginning of the cycle and the current thickness:

[0015] ;

[0016] The specific calculation formula is as above, where: Indicates the initial thickness of the coated fabric at the beginning of the cycle.

[0017] Preferably, the preset minimum acceptable thickness in the coating cloth detection and the real-time thickness of the current coating cloth are obtained, combined with the average thickness reduction of the coating cloth in one cycle. and thickness reduction fluctuation value , calculate the minimum remaining thickness detection cycle number of the current coated cloth , corresponding to the minimum remaining thickness detection cycle number of the current coated cloth The calculation formula is as follows:

[0018] in, Indicates the real-time thickness of the current coating cloth. Indicates the preset minimum acceptable thickness in the test. Reduce fluctuation value for thickness The weight coefficient of .

[0019] Preferably, the incremental mean of the number of surface defects of the coated cloth within one cycle is calculated. and incremental fluctuation value , the corresponding mean value of the number of surface defects in one cycle of the coated cloth and incremental fluctuation value The calculation formula is as follows:

[0020] in, Indicates The number of surface defects of coated fabrics detected, , is a positive integer, which represents the total number of surface defect detections in one cycle. Indicates the increase in the number of surface defects per inspection within a cycle.

[0021] Preferably, the amount of surface defects detected each time within a cycle is the price increase , is obtained by calculating the difference between the current number of surface defects of the coated cloth and the initial number of surface defects at the beginning of the cycle:

[0022] ;

[0023] The specific calculation formula is as above, where: Represents the initial number of surface defects of the coated cloth at the beginning of the cycle.

[0024] Preferably, the maximum acceptable number of surface defects preset in the coated fabric detection and the real-time number of surface defects of the current coated fabric are obtained, combined with the incremental mean of the number of surface defects of the coated fabric within a cycle. and incremental fluctuation value , calculate the minimum remaining surface defect detection cycles of the current coated cloth , corresponding to the minimum remaining surface defect detection cycles of the current coated cloth The calculation formula is as follows:

[0025] in, Indicates the real-time number of surface defects of the current coated cloth. Indicates the maximum acceptable number of surface defects in the inspection. is the surface defect increment fluctuation value The weight coefficient of .

[0026] Preferably, the minimum remaining thickness detection cycle number of the current coated cloth is and minimum number of remaining surface defect detection cycles Sum the number of cycles tested and get the estimated thickness test cycle of the coated fabric. and the expected number of surface defect test cycles :

[0027] in, Indicates the number of cycles the coated fabric has been tested.

[0028] Preferably, the estimated thickness test cycle number and the expected number of surface defect test cycles Respectively with the preset qualified detection cycle number Carry out size comparison and give corresponding feedback on the surface quality of the coated fabric based on the comparison results;

[0029] When the thickness is expected to withstand the test cycle Estimated number of surface defect test cycles Both are greater than the preset qualified detection cycle number When the surface quality of the coated cloth is up to standard, feedback is given and normal production and processing can continue;

[0030] When the thickness is expected to withstand the test cycle Estimated number of surface defect test cycles Only one of the following is lower than the preset qualified test cycle number When the coating fabric surface quality is at risk, feedback is given that the process personnel need to check and adjust the production process parameters and increase the inspection cycle;

[0031] When the thickness is expected to withstand the test cycle Estimated number of surface defect test cycles All are lower than the preset qualified detection cycle number When the quality of the coated cloth is seriously defective, feedback is given that the coated cloth surface quality has serious defects, the production of the coated cloth is immediately suspended, and the production process, equipment and materials are fully inspected and rectified to find out the cause of the quality problem.

[0032] In order to achieve the above-mentioned purpose, the present invention also provides the following technical solution: a surface quality detection system for coated cloth, comprising:

[0033] The quality inspection module mechanically causes the friction material to periodically rub the surface of the coated cloth in a reciprocating manner, and detects the real-time thickness and number of surface defects of the coated cloth after each friction cycle, calculates the average value of the thickness reduction and the fluctuation value of the thickness reduction within a cycle, and calculates the average value of the incremental number of surface defects of the coated cloth within a cycle and the incremental fluctuation value of the number of defects;

[0034] The thickness analysis module obtains the preset minimum acceptable thickness in the coating cloth detection, and calculates the minimum remaining thickness detection cycle number of the current coating cloth in combination with the real-time thickness of the current coating cloth;

[0035] The surface defect analysis module obtains the preset maximum acceptable number of surface defects in the coated cloth detection, and calculates the minimum remaining number of surface defect detection cycles of the current coated cloth in combination with the number of surface defects of the current coated cloth;

[0036] The result feedback module sums the minimum remaining thickness detection cycles and the minimum remaining surface defect detection cycles of the current coated cloth with the number of cycles that have been detected, and obtains the expected thickness test cycles and the expected surface defect test cycles of the coated cloth. The expected thickness test cycles and the expected surface defect test cycles are compared with the preset qualified test cycles, and corresponding feedback is given to the surface quality of the coated cloth based on the comparison results.

[0037] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0038] First, the system estimates the number of test cycles of the coating surface thickness. The calculation can know the durability of the coated cloth in advance without wearing out the surface. There is no need to wear out the surface of the coated cloth to damage by friction materials every time the test is performed, thereby saving the test time and improving the test efficiency. It is more suitable for the surface quality inspection of coated cloth in large-scale production.

[0039] Secondly, the system calculates the minimum number of remaining surface defect detection cycles It can help predict the remaining service life of coated cloth before reaching the maximum acceptable number of defects, and through the incremental fluctuation value of the number of defects, it can evaluate the stability of the development process of surface defects of coated cloth, identify the development of defects, and improve the accuracy of detection.

[0040] Third, the minimum remaining thickness detection cycle number of the current coated cloth of this system Comprehensively consider the average thickness reduction of the coated cloth within a cycle and thickness reduction fluctuation value , the thickness reduction of the coated cloth can be predicted more accurately, and the introduction of the fluctuation value can reduce the error caused by the abnormal data of a single cycle and improve the accuracy of the prediction.

[0041] Fourthly, this system can accurately monitor the performance changes of coated cloth during the friction process through real-time thickness and surface defect detection. The calculation of the mean and fluctuation values ​​of thickness reduction and the mean and fluctuation values ​​of defect quantity increment can provide accurate data support to help evaluate the wear resistance and surface quality of coated cloth. Moreover, by carrying out detection after each friction cycle, the thickness and surface defect problems of coated cloth can be discovered in time, so that measures can be taken quickly to make adjustments and improvements. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic flow chart of a surface quality detection method of a coated cloth according to the present invention;

[0043] Figure 2 The present invention is a schematic structural diagram of a surface quality detection system for coated cloth. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 The present invention provides a method for detecting the surface quality of a coated cloth, comprising the following steps:

[0046] Step 1: Mechanically make the friction material reciprocate and periodically rub the surface of the coated cloth, and detect the real-time thickness and the number of surface defects of the coated cloth after each friction cycle, calculate the average thickness reduction and thickness reduction fluctuation value of the coated cloth in one cycle, and calculate the average incremental number of surface defects of the coated cloth in one cycle and the incremental number of defects. Fluctuation value.

[0047] The step 1 comprises the following steps:

[0048] Step 101, calculate and obtain the average value of the thickness reduction of the coated cloth within one cycle and thickness reduction fluctuation value , the corresponding average thickness reduction of the coated cloth in one cycle and thickness reduction fluctuation value The calculation formula is as follows:

[0049] in, Indicates The thickness of the coated cloth detected, , is a positive integer, which represents the total number of thickness tests performed in one cycle. Indicates the thickness reduction in each test within a cycle.

[0050] Step 102, the thickness reduction of each test within a cycle , is obtained by calculating the difference between the initial thickness at the beginning of the cycle and the current thickness:

[0051] ;

[0052] The specific calculation formula is as above, where: Indicates the initial thickness of the coated fabric at the beginning of the cycle.

[0053] Step 103, calculate and obtain the mean value of the number of surface defects of the coated cloth in one cycle and incremental fluctuation value , the corresponding mean value of the number of surface defects in one cycle of the coated cloth and incremental fluctuation value The calculation formula is as follows:

[0054] in, Indicates The number of surface defects of coated fabrics detected, , is a positive integer, which represents the total number of surface defect detections in one cycle. Indicates the increase in the number of surface defects per inspection within a cycle.

[0055] Step 104, the amount of price increase of the number of surface defects detected each time within a cycle , is obtained by calculating the difference between the current number of surface defects of the coated cloth and the initial number of surface defects at the beginning of the cycle:

[0056] ;

[0057] The specific calculation formula is as above, where: Represents the initial number of surface defects of the coated cloth at the beginning of the cycle.

[0058] When using, combine the contents in steps 101 to 104:

[0059] The friction material is mechanically made to rub the surface of the coated cloth periodically in a reciprocating manner, and the real-time thickness and surface defect quantity of the coated cloth are detected after each friction cycle, and the mean value of the thickness reduction and the thickness reduction fluctuation value of the coated cloth within one cycle are calculated, and the mean value of the incremental number of surface defects and the incremental fluctuation value of the defect quantity of the coated cloth within one cycle are calculated. Through the detection of real-time thickness and surface defect quantity, the performance change of the coated cloth during the friction process can be accurately monitored, and the calculation of the mean value and fluctuation value of the thickness reduction and the mean value and fluctuation value of the incremental number of defects can provide accurate data support to help evaluate the wear resistance and surface quality of the coated cloth. Moreover, the detection after each friction cycle can timely discover the thickness and surface defect problems of the coated cloth, so as to quickly take measures to adjust and improve.

[0060] It should be noted that for the detection of coated fabric thickness, a laser thickness gauge can be used to measure the thickness of the coated fabric surface using a laser beam, and the thickness data can be obtained through the reflection and interference of the laser beam. Its advantages are non-contact measurement, high accuracy and suitability for online real-time detection. For the detection of the number of surface defects of coated fabrics, a laser scanning microscope can be used to scan the surface of the coated fabric using a laser beam, and scratches, wrinkles and pores on the surface can be identified through optical detection and computer analysis.

[0061] Moreover, the detection of the coating cloth thickness and the number of surface defects is carried out synchronously. When the friction material periodically rubs the coating cloth surface, the detection time of the thickness and the number of surface defects in each cycle is synchronized and the number of detections is also the same.

[0062] Step 2: Obtain the preset minimum acceptable thickness in the coated cloth detection, and calculate the minimum remaining thickness detection cycle number of the current coated cloth in combination with the real-time thickness of the current coated cloth.

[0063] The step 2 includes the following contents:

[0064] Step 201, according to product standards and technical specifications, obtain the preset minimum acceptable thickness in the coating cloth detection, and obtain the real-time thickness of the current coating cloth according to the collected detection data.

[0065] Step 202, combining the average value of the thickness reduction of the coated cloth in one cycle and thickness reduction fluctuation value , calculate the minimum remaining thickness detection cycle number of the current coated cloth , corresponding to the minimum remaining thickness detection cycle number of the current coated cloth The calculation formula is as follows:

[0066] in, Indicates the real-time thickness of the current coating cloth. Indicates the preset minimum acceptable thickness in the test. Reduce fluctuation value for thickness The weight coefficient of .

[0067] When using, combine the contents in steps 201 and 202:

[0068] Get the preset minimum acceptable thickness in the coated fabric detection, and combine it with the real-time thickness of the current coated fabric to calculate the minimum remaining thickness detection cycle number of the current coated fabric. Comprehensively consider the average thickness reduction of the coated cloth within a cycle and thickness reduction fluctuation value , the thickness reduction of the coated cloth can be predicted more accurately, and the introduction of the fluctuation value can reduce the error caused by the abnormal data of a single cycle and improve the accuracy of the prediction.

[0069] Step three, obtaining the preset maximum acceptable number of surface defects in the coated cloth detection, and combining it with the number of surface defects of the current coated cloth, calculating the minimum remaining number of surface defect detection cycles of the current coated cloth.

[0070] The step three includes the following contents:

[0071] Step 301, according to product standards and technical specifications, obtain the preset maximum acceptable number of surface defects in coated cloth detection, and obtain the real-time number of surface defects of the current coated cloth according to the collected detection data.

[0072] Step 302, combining the incremental mean of the number of surface defects of the coated cloth within a cycle and incremental fluctuation value , calculate the minimum remaining surface defect detection cycles of the current coated cloth , corresponding to the minimum remaining surface defect detection cycles of the current coated cloth The calculation formula is as follows:

[0073] in, Indicates the real-time number of surface defects of the current coated cloth. Indicates the maximum acceptable number of surface defects in the inspection. is the surface defect increment fluctuation value The weight coefficient of .

[0074] When using, combine the contents in steps 301 and 302:

[0075] Get the preset maximum acceptable number of surface defects in the coated fabric inspection, and combine it with the current number of surface defects in the coated fabric to calculate the minimum number of remaining surface defect inspection cycles for the current coated fabric. By real-time detection of the number of surface defects, the quality of the coated fabric can be accurately monitored and the minimum number of remaining surface defect inspection cycles can be calculated. It can help predict the remaining service life of coated cloth before reaching the maximum acceptable number of defects, and through the incremental fluctuation value of the number of defects, it can evaluate the stability of the development process of surface defects of coated cloth, identify the development of defects, and improve the accuracy of detection.

[0076] Step 4, summing the minimum remaining thickness test cycles and the minimum remaining surface defect test cycles of the current coated cloth with the number of cycles that have been tested, to obtain the expected thickness test cycles and the expected surface defect test cycles of the coated cloth, and comparing the expected thickness test cycles and the expected surface defect test cycles with the preset qualified test cycles, and giving corresponding feedback on the surface quality of the coated cloth according to the comparison results.

[0077] The step 4 includes the following contents:

[0078] Step 401: The minimum remaining thickness detection cycle number of the current coated cloth and minimum number of remaining surface defect detection cycles Sum the number of cycles tested and get the estimated thickness test cycle of the coated fabric. and the expected number of surface defect test cycles :

[0079] in, Indicates the number of cycles the coated fabric has been tested.

[0080] Step 402: The estimated thickness test cycle number and the expected number of surface defect test cycles Respectively with the preset qualified detection cycle number Carry out size comparison and give corresponding feedback on the surface quality of the coated fabric based on the comparison results;

[0081] When the thickness is expected to withstand the test cycle Estimated number of surface defect test cycles Both are greater than the preset qualified detection cycle number When the surface quality of the coated cloth is up to standard, feedback is given and normal production and processing can continue;

[0082] When the thickness is expected to withstand the test cycle Estimated number of surface defect test cycles Only one of the following is lower than the preset qualified test cycle number When the coating fabric surface quality is at risk, feedback is given that the process personnel need to check and adjust the production process parameters and increase the inspection cycle;

[0083] When the thickness is expected to withstand the test cycle Estimated number of surface defect test cycles All are lower than the preset qualified detection cycle number When the quality of the coated cloth is seriously defective, feedback is given that the coated cloth surface quality has serious defects, the production of the coated cloth is immediately suspended, and the production process, equipment and materials are fully inspected and rectified to find out the cause of the quality problem.

[0084] When using, combine the contents in steps 401 and 402:

[0085] The minimum remaining thickness test cycles and the minimum remaining surface defect test cycles of the current coated cloth are summed with the number of cycles that have been tested to obtain the estimated thickness test cycles and the estimated surface defect test cycles of the coated cloth. The estimated thickness test cycles and the estimated surface defect test cycles are compared with the preset qualified test cycles, and the surface quality of the coated cloth is fed back accordingly based on the comparison results. By considering the two key indicators of thickness and surface defects at the same time, the quality status of the coated cloth can be comprehensively evaluated. According to the quality feedback results, clear production guidance can be provided to avoid blind operation. More importantly, by comparing the estimated thickness test cycles of the coated cloth surface The calculation can know the durability of the coated cloth in advance without wearing out the surface. There is no need to wear out the surface of the coated cloth to damage by friction materials every time the test is performed, thereby saving the test time and improving the test efficiency. It is more suitable for the surface quality inspection of coated cloth in large-scale production.

[0086] See also Figure 2 The present invention also provides a surface quality detection system for coated fabrics, comprising:

[0087] The quality inspection module mechanically causes the friction material to periodically rub the surface of the coated cloth in a reciprocating manner, and detects the real-time thickness and number of surface defects of the coated cloth after each friction cycle, calculates the average value of the thickness reduction and the fluctuation value of the thickness reduction within a cycle, and calculates the average value of the incremental number of surface defects of the coated cloth within a cycle and the incremental fluctuation value of the number of defects;

[0088] The thickness analysis module obtains the preset minimum acceptable thickness in the coating cloth detection, and calculates the minimum remaining thickness detection cycle number of the current coating cloth in combination with the real-time thickness of the current coating cloth;

[0089] The surface defect analysis module obtains the preset maximum acceptable number of surface defects in the coated cloth detection, and calculates the minimum remaining number of surface defect detection cycles of the current coated cloth in combination with the number of surface defects of the current coated cloth;

[0090] The result feedback module sums the minimum remaining thickness detection cycles and the minimum remaining surface defect detection cycles of the current coated cloth with the number of cycles that have been detected, and obtains the expected thickness test cycles and the expected surface defect test cycles of the coated cloth. The expected thickness test cycles and the expected surface defect test cycles are compared with the preset qualified test cycles, and corresponding feedback is given to the surface quality of the coated cloth based on the comparison results.

[0091] The formulas for the several different unit data involved in the above-mentioned are all calculated by removing the dimensions and taking their numerical values. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The coefficients in the formula are set by technicians in this field according to the actual situation.

[0092] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0093] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0094] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A method for detecting the surface quality of a coated cloth, characterized in that: The steps include: The friction material is mechanically made to rub the surface of the coated cloth periodically in a reciprocating manner, and the real-time thickness and the number of surface defects of the coated cloth are detected after each friction cycle, and the mean value of the thickness reduction and the fluctuation value of the thickness reduction of the coated cloth in one cycle are calculated, and the mean value of the incremental number of defects on the coated cloth in one cycle and the incremental fluctuation value of the number of defects are calculated; Obtain the preset minimum acceptable thickness in the coated fabric detection, and combine it with the real-time thickness of the current coated fabric to calculate the minimum remaining thickness detection cycle number of the current coated fabric; The preset minimum acceptable thickness in the coated fabric detection and the real-time thickness of the current coated fabric are obtained, and the minimum remaining thickness detection cycle number Hsy of the current coated fabric is calculated by combining the thickness reduction mean value Hj and the thickness reduction fluctuation value Hb of the coated fabric within a cycle. The calculation formula of the minimum remaining thickness detection cycle number Hsy of the current coated fabric is as follows: Among them, H current Indicates the real-time thickness of the current coated cloth, H min It indicates the preset minimum acceptable thickness in the test, and k1 is the weight coefficient of the thickness reduction fluctuation value Hb; The maximum acceptable number of surface defects preset in the coated fabric detection is obtained, and combined with the number of surface defects of the current coated fabric, the minimum number of remaining surface defect detection cycles of the current coated fabric is calculated; The preset maximum acceptable number of surface defects in the coated fabric inspection and the real-time number of surface defects of the current coated fabric are obtained, and the minimum remaining number of surface defect inspection cycles Qsy of the current coated fabric is calculated by combining the incremental mean value Qj and incremental fluctuation value Qb of the number of surface defects of the coated fabric within a cycle. The calculation formula of the minimum remaining number of surface defect inspection cycles Qsy of the current coated fabric is as follows: Among them, Q current Indicates the real-time surface defect quantity of the current coated cloth, Q max It indicates the maximum acceptable number of surface defects preset in the inspection, and k2 is the weight coefficient of the surface defect incremental fluctuation value Qb; The minimum remaining thickness test cycles and the minimum remaining surface defect test cycles of the current coated cloth are summed with the number of cycles that have been tested to obtain the expected thickness test cycles and the expected surface defect test cycles of the coated cloth. The expected thickness test cycles and the expected surface defect test cycles are compared with the preset qualified test cycles, and corresponding feedback is given to the surface quality of the coated cloth based on the comparison results.

2. The surface quality detection method of a coated cloth according to claim 1, characterized in that: The mean value Hj of the thickness reduction and the fluctuation value Hb of the thickness reduction of the coated cloth in one cycle are calculated. The corresponding calculation formulas for the mean value Hj of the thickness reduction and the fluctuation value Hb of the thickness reduction of the coated cloth in one cycle are as follows: Among them, H i represents the thickness of the coated cloth detected for the i-th time, i = 1, 2, ..., n, n is a positive integer, which represents the total number of thickness detections in one cycle, ΔH i Indicates the thickness reduction in each test within a cycle.

3. The surface quality detection method of a coated cloth according to claim 2, characterized in that: The ΔH i It is obtained by calculating the difference between the initial thickness at the beginning of the cycle and the current thickness: ΔH i =H0-H i , ΔH i The specific calculation formula of is as above, where H0 represents the initial thickness of the coated cloth at the beginning of the cycle.

4. The surface quality detection method of a coated cloth according to claim 1, characterized in that: The incremental mean value Qj and incremental fluctuation value Qb of the number of surface defects of the coated cloth in one cycle are calculated. The corresponding calculation formulas for the incremental mean value Qj and incremental fluctuation value Qb of the number of surface defects of the coated cloth in one cycle are as follows: Among them, Q i represents the number of surface defects of the coated cloth detected for the i-th time, i = 1, 2, ..., n, n is a positive integer, which represents the total number of surface defect detections in one cycle, ΔQ i Indicates the increase in the number of surface defects per inspection within a cycle.

5. The surface quality detection method of a coated cloth according to claim 4, characterized in that: The ΔQ i It is obtained by calculating the difference between the current number of surface defects of the coated cloth and the initial number of surface defects at the beginning of the cycle: ΔQ i =Q i -Q0, ΔQ i The specific calculation formula is as above, where Q0 represents the initial number of surface defects of the coated cloth at the beginning of the cycle.

6. The surface quality detection method of a coated cloth according to claim 1, characterized in that: The minimum remaining thickness detection cycle number Hsy and the minimum remaining surface defect detection cycle number Qsy of the current coated cloth are summed with the number of cycles that have been detected to obtain the estimated thickness test cycle number H of the coated cloth. total and the expected number of surface defect test cycles Q total : Among them, D ed Indicates the number of cycles the coated fabric has been tested.

7. The surface quality detection method of a coated cloth according to claim 6, characterized in that: The estimated thickness test cycle number H total and the expected number of surface defect test cycles Q total Respectively with the preset qualified detection cycle number N qualified Carry out size comparison and give corresponding feedback on the surface quality of the coated fabric based on the comparison results; When the expected thickness test cycle number H total and the expected number of surface defect test cycles Q total Both are greater than the preset qualified detection cycle number N qualified When the surface quality of the coated cloth is up to standard, feedback is given and normal production and processing can continue; When the expected thickness test cycle number H total and the expected number of surface defect test cycles Q total Only one of the following is lower than the preset qualified test cycle number N qualified When the coating fabric surface quality is at risk, feedback is given that the process personnel need to check and adjust the production process parameters and increase the inspection cycle; When the expected thickness test cycle number H total and the expected number of surface defect test cycles Q total All are lower than the preset qualified test cycle number N qualified When the quality of the coated cloth is seriously defective, feedback is given that the coated cloth surface quality has serious defects, the production of the coated cloth is immediately suspended, and the production process, equipment and materials are fully inspected and rectified to find out the cause of the quality problem.

8. A surface quality detection system for coated fabrics, characterized in that: The surface quality detection method of the coated cloth according to any one of claims 1 to 7 comprises: The quality inspection module mechanically causes the friction material to periodically rub the surface of the coated cloth in a reciprocating manner, and detects the real-time thickness and number of surface defects of the coated cloth after each friction cycle, calculates the average value of the thickness reduction and the fluctuation value of the thickness reduction within a cycle, and calculates the average value of the incremental number of surface defects of the coated cloth within a cycle and the incremental fluctuation value of the number of defects; The thickness analysis module obtains the preset minimum acceptable thickness in the coating cloth detection, and calculates the minimum remaining thickness detection cycle number of the current coating cloth in combination with the real-time thickness of the current coating cloth; The surface defect analysis module obtains the preset maximum acceptable number of surface defects in the coated cloth detection, and calculates the minimum remaining number of surface defect detection cycles of the current coated cloth in combination with the number of surface defects of the current coated cloth; The result feedback module sums the minimum remaining thickness detection cycles and the minimum remaining surface defect detection cycles of the current coated cloth with the number of cycles that have been detected, and obtains the expected thickness test cycles and the expected surface defect test cycles of the coated cloth. The expected thickness test cycles and the expected surface defect test cycles are compared with the preset qualified test cycles, and corresponding feedback is given to the surface quality of the coated cloth based on the comparison results.

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