Intelligent control method and system based on non-woven fabric fallen fiber testing equipment and medium

Abstract

The invention is suitable for the technical field of test data processing, and provides an intelligent control method and system based on non-woven fabric flock falling test equipment and a medium, and the method comprises the steps: firstly obtaining real-time friction period information of a to-be-detected product and a real-time flock increment corresponding to the real-time friction period information; the method comprises the following steps: acquiring real-time friction cycle information of a reference product, acquiring historical test data set information of the reference product, determining a reference flocculent increment based on the real-time friction cycle information and multiple pieces of historical friction cycle information, generating test effectiveness evaluation information according to the real-time flocculent increment and the reference flocculent increment, and finally determining the test effectiveness of the product based on the test effectiveness evaluation information. And generating equipment control instruction information. According to the method, the accuracy of the testing process can be guaranteed, the reliability of the testing result is remarkably improved, and effective data support is provided for high-quality control of the non-woven fabric.

Description

Technical Field

[0001] The present application relates to the technical field of test data processing, and in particular to an intelligent control method, system and medium based on a non-woven fabric lint testing device. Background Art

[0002] Nonwoven fabrics, also known as non-woven fabrics, are unique fabrics that do not require traditional spinning and weaving processes. They are made by arranging short fibers or filaments in a directional or random manner to form a fiber network structure, which is then reinforced by mechanical, thermal bonding or chemical methods.

[0003] Currently, in nonwoven fabric lint shedding tests, a layer of skin-like friction material is often pre-coated on the movable disc that holds the nonwoven sample to more realistically simulate actual use. However, during repetitive testing, the nonwoven sample may slip, distorting the test data and resulting in low reliability. This issue warrants further improvement. Summary of the Invention

[0004] Based on this, the embodiments of the present application provide an intelligent control method, system and medium based on a non-woven fabric lint testing device to solve the problem of low reliability of test results in the prior art.

[0005] In a first aspect, an embodiment of the present application provides an intelligent control method based on a non-woven fabric lint testing device, the method comprising: Acquire real-time friction cycle information of the product to be tested and the real-time increase in lint corresponding to the real-time friction cycle information, and acquire historical test data set information of a reference product, wherein the historical test data set information includes multiple historical friction cycle information and the historical increase in lint corresponding to each historical friction cycle information; determining a reference flocculent increase amount based on the real-time friction cycle information and a plurality of historical friction cycle information; generating test effectiveness evaluation information according to the real-time flocculent increase and the reference flocculent increase; Based on the test effectiveness evaluation information, device control instruction information is generated.

[0006] Compared with the prior art, the beneficial effects are: the intelligent control method based on the non-woven fabric lint testing equipment provided in the embodiment of the present application, the terminal device can first obtain the real-time friction cycle information of the product to be tested and the real-time lint increase corresponding to the real-time friction cycle information, and obtain the historical test data set information of the reference product, and then determine the reference lint increase based on the real-time friction cycle information and multiple historical friction cycle information, and then generate test validity evaluation information based on the real-time lint increase and the reference lint increase, and finally generate equipment control instruction information based on the test validity evaluation information, thereby improving the reliability of the test results and solving the problem of low reliability of the current test results to a certain extent.

[0007] In a second aspect, an embodiment of the present application provides an intelligent control system based on a non-woven fabric lint testing device, the system comprising: A real-time friction cycle information acquisition module is configured to acquire the real-time friction cycle information of the product to be tested and the real-time flocculent increase corresponding to the real-time friction cycle information, and to acquire historical test data set information of a reference product, wherein the historical test data set information includes multiple historical friction cycle information and the historical flocculent increase corresponding to each historical friction cycle information; A reference flocculent increase amount determination module is configured to determine a reference flocculent increase amount based on the real-time friction cycle information and a plurality of historical friction cycle information; A test effectiveness evaluation information generating module is configured to generate test effectiveness evaluation information according to the real-time flocculent increase amount and the reference flocculent increase amount; Device control instruction information generation module: used to generate device control instruction information based on the test effectiveness evaluation information.

[0008] In a third aspect, an embodiment of the present application provides a terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect described above when executing the computer program.

[0009] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method of the first aspect described above are implemented.

[0010] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art.

[0012] Figure 1 This is a flow chart of an intelligent control method provided by an embodiment of the present application; Figure 2 (a) is a first schematic diagram of a non-woven fabric shedding test process provided by an embodiment of the present application. Figure 2 (b) is a second schematic diagram of the non-woven fabric shedding test process provided in one embodiment of the present application. Figure 2 (c) is a third schematic diagram of the non-woven fabric lint shedding test process provided by an embodiment of the present application; Figure 3 1 is a flow chart of step S200 in the intelligent control method provided in one embodiment of the present application; Figure 4 1 is a flow chart of step S300 in the intelligent control method provided in one embodiment of the present application; Figure 5 4 is a flow chart of step S400 in the intelligent control method provided in one embodiment of the present application; Figure 6 This is a flow chart of the process after step S400 in the intelligent control method provided in one embodiment of the present application; Figure 7 This is a first schematic diagram of first target edge line information provided by an embodiment of the present application; Figure 8 (a) is a second schematic diagram of first target edge line information provided by an embodiment of the present application. Figure 8 (b) is a schematic diagram of the second target edge line information provided by an embodiment of the present application. Figure 8 (c) is a schematic diagram of merging edge line information provided by an embodiment of the present application; Figure 9 is a schematic diagram of key difference area information provided by an embodiment of the present application; Figure 10 This is a flow chart of the process after step S550 in the intelligent control method provided in one embodiment of the present application; Figure 11 This is a flow chart of the process after step S554 in the intelligent control method provided in one embodiment of the present application; Figure 12 This is a module block diagram of an intelligent control system provided by an embodiment of the present application; Figure 13 This is a schematic diagram of a terminal device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0014] In the description of this application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0015] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0016] Existing non-woven fabric lint testing equipment usually includes a fixed disc, a movable disc, a driving device, an air extraction device and a particle counting device, wherein the fixed disc and the movable disc are both arranged vertically; the driving device includes a linear motor for controlling the movable disc to perform reciprocating linear motion in the horizontal direction, and a rotary motor for controlling the rotation of the movable disc; the air extraction device is used to extract the air in the equipment in real time during the friction process to guide the lint particles suspended in the air to the particle counting device; the particle counting device is used to count the lint particles in real time, and the particle counting device can be a laser dust particle counter.

[0017] In order to illustrate the technical solution described in this application, specific embodiments are provided below.

[0018] See also Figure 1 , Figure 1The figure is a flow chart of an intelligent control method for a nonwoven fabric lint testing device provided in an embodiment of the present application. In this embodiment, the intelligent control method is executed by a terminal device. It is understood that the types of terminal devices include, but are not limited to, tablet computers, laptop computers, ultra-mobile personal computers (UMPCs), netbooks, and personal digital assistants (PDAs). The present embodiment of the present application does not impose any restrictions on the specific type of terminal device.

[0019] See also Figure 1 The intelligent control method provided in the embodiment of the present application includes but is not limited to the following steps: In S100 , the real-time friction cycle information of the product to be tested and the real-time lint increase corresponding to the real-time friction cycle information are obtained, and the historical test data set information of the reference product is obtained.

[0020] Specifically, the terminal device can first obtain the real-time friction cycle information of the product to be tested and the real-time lint increase corresponding to the real-time friction cycle information. At the same time, the terminal device can obtain the historical test data set information of the reference product, wherein the product to be tested is used to describe the non-woven fabric sample for the lint drop test; in the lint drop test, the product to be tested usually needs to be tested for multiple friction cycles; for example, please refer to Figure 2 (a), (b) and (c) in Figure 2 (a) shows the initial state of the product to be tested. During the non-woven fabric shedding test, the product to be tested will follow the following steps under the action of the driving device: Figure 2 (a) Figure 2 (b) Figure 2 (c) Figure 2 (b) Figure 2 The sequence of (a) is to perform reciprocating motion.

[0021] Specifically, the real-time friction cycle information is used to describe the real-time friction cycle of the product to be tested, for example, the current product to be tested is in the third friction cycle or the fifth friction cycle; for example, the tester can pre-set the movable disc to make twenty horizontal reciprocating motions as a friction cycle, wherein, in the first ten horizontal reciprocating motions, the movable disc can rotate in a clockwise posture, and in the last ten horizontal reciprocating motions, the movable disc can rotate in a counterclockwise posture.

[0022] Without loss of generality, the historical test data set information includes multiple historical friction cycle information and the historical flocculent increase corresponding to each historical friction cycle information; the historical test data set information is used to describe the test data set of the same model and size of the product to be tested in the historical flocculent test; the historical friction cycle information is used to describe a certain friction cycle of the product to be tested in a certain historical flocculent test; the historical flocculent increase is used to describe the flocculent increase of the product to be tested in the friction cycle of the historical flocculent test. Exemplarily, the flocculent increase can be the increase in flocculent particles in this friction cycle relative to the previous friction cycle.

[0023] In S200 , a reference lint increase amount is determined based on real-time friction cycle information and a plurality of historical friction cycle information.

[0024] Specifically, after the terminal device obtains real-time friction cycle information and real-time flocculent increase, the terminal device can effectively determine the reference flocculent increase based on the real-time friction cycle information and multiple historical friction cycle information, thereby determining the reasonable expected value of the flocculent increase for the model of the product to be tested in a certain friction cycle.

[0025] It should be noted that as the friction cycle increases, the amount of flocculent material in the product to be tested will continue to increase until the area stabilizes. However, if the non-woven fabric sample slips during the test, the non-woven fabric sample will not be able to fully achieve the expected twisting posture in the subsequent reciprocating motion, which will cause the increase in flocculent material to be significantly lower than the reasonable expected value. Even if more reciprocating tests are carried out subsequently, the test results will hardly reflect the actual performance.

[0026] In some possible implementations, in order to effectively determine the reference flocculent increase, see Figure 3 Step S200 includes but is not limited to the following steps: In S210 , reference friction cycle information is determined based on the real-time friction cycle information and a plurality of historical friction cycle information.

[0027] Specifically, the terminal device can quickly determine reference friction cycle information from multiple historical friction cycle information based on real-time friction cycle information, wherein the reference friction cycle information is used to describe historical friction cycle information with the same order as the real-time friction cycle information.

[0028] For example, when the real-time friction cycle information is the third friction cycle, and multiple historical friction cycle information are the historical first friction cycle, the historical second friction cycle, the historical third friction cycle, the historical fourth friction cycle, etc., the reference friction cycle information can be the historical third friction cycle.

[0029] In S220 , the historical flocculent increase amount corresponding to the reference friction cycle information is determined as the reference flocculent increase amount.

[0030] Specifically, after the terminal device determines the reference friction cycle information, the terminal device can effectively determine the historical flocculent increase corresponding to the reference friction cycle information as the reference flocculent increase, thereby determining a reasonable expected value corresponding to the flocculent increase of the real-time friction cycle information.

[0031] In S300 , test effectiveness evaluation information is generated based on the real-time flocculent increase amount and the reference flocculent increase amount.

[0032] Specifically, after the terminal device determines the reference flocculent increase, the terminal device can accurately generate test validity evaluation information based on the real-time flocculent increase and the reference flocculent increase, wherein the test validity evaluation information is used to evaluate the validity of the test result.

[0033] In some possible implementations, in order to accurately generate test effectiveness evaluation information, see Figure 4 Step S300 includes but is not limited to the following steps: In S310 , increase difference information is generated based on the reference lint increase amount and the real-time lint increase amount.

[0034] Specifically, the terminal device may generate increase difference information based on the result value of subtracting the real-time increase in flocculent amount from the reference increase in flocculent amount, wherein the increase difference information is used to describe the difference between the reference increase in flocculent amount and the real-time increase in flocculent amount.

[0035] In S320, the increment difference information is compared with the preset difference limit value information; Specifically, after the terminal device generates the incremental difference information, the terminal device can compare the incremental difference information with the preset phase difference limit value information, wherein the phase difference limit value information is used as a limit value for evaluating whether the incremental difference information is reasonable; the specific value of the phase difference limit value information can be customized by the testing personnel according to the test requirements of the product to be tested. For example, for medical-grade non-woven fabrics with stricter test conditions (such as masks and isolation gowns), the specific value of the phase difference limit value information can be set to 0.3 grams; for ordinary non-woven fabrics with looser test conditions and non-medical purposes (such as kitchen cleaning cloths and pet cleaning towels), the specific value of the phase difference limit value information can be set to 0.5 grams, thereby allowing the test conditions to be dynamically adjusted according to the specific type of non-woven fabric, thereby ensuring the accuracy and applicability of the non-woven fabric shedding test.

[0036] In S330 , if the increment difference information is greater than or equal to the phase difference limit information, test invalidation information is generated.

[0037] Specifically, if the increase difference information is greater than or equal to the difference limit value information, it indicates that the increase in flocculent matter is significantly lower than the reasonable expected value, so the terminal device can generate test invalidation information, where the test invalidation information is used to describe the low validity of the test result.

[0038] In S340 , if the increment difference information is smaller than the phase difference limit information, test validity information is generated.

[0039] Specifically, if the increase difference information is less than the difference limit value information, it indicates that the deviation between the flocculent increase amount and the reasonable expected value is small, so the terminal device can generate test validity information, where the test validity information is used to describe the high validity of the test result.

[0040] In S400 , device control instruction information is generated based on the test effectiveness evaluation information.

[0041] Specifically, the terminal device can generate device control instruction information in a timely manner based on specific test validity evaluation information, thereby avoiding the situation where the non-woven fabric sample has already experienced slippage that seriously affects the validity of the test results, but the fluff falling test is still being carried out.

[0042] In some possible implementations, in order to achieve timely generation of device control instruction information, please refer to Figure 5 Step S400 includes but is not limited to the following steps: In S410 , if the test validity evaluation information is test validity information, a test continuation instruction is generated.

[0043] Specifically, if the test validity evaluation information is test validity information, the terminal device can generate a continue test instruction, wherein the continue test instruction is used to instruct the non-woven fabric lint testing device to continue to start the next friction cycle.

[0044] In S420 , if the test validity evaluation information is test invalidation information, a test abort instruction is generated.

[0045] Specifically, if the test validity evaluation information is test invalid information, the terminal device can generate a test abort instruction, wherein the test abort instruction is used to instruct the non-woven fabric lint testing device to stop and wait, and not start the next friction cycle.

[0046] In some possible implementations, in order to assist the test personnel in analyzing the test results of the product to be tested, please refer to Figure 6 After step S400, the method further includes but is not limited to the following steps: In S500 , real-time image information of the product to be inspected and reference image information of reference friction cycle information are acquired.

[0047] Specifically, the terminal device can obtain reference image information of the reference friction cycle information based on a preset historical database. At the same time, the terminal device can use a preset camera to obtain real-time image information of the product to be tested when the non-woven fabric fluff testing equipment completes a friction cycle, wherein the reference image information is used to describe the image obtained by the camera shooting the non-woven fabric sample when the non-woven fabric fluff testing equipment completes the reference friction cycle information.

[0048] In S510 , based on a preset edge extraction algorithm, first product outer contour line information of the real-time image information and second product outer contour line information of the reference image information are obtained.

[0049] Specifically, after the terminal device obtains real-time image information and reference image information, the terminal device can obtain the first product outer contour line information of the real-time image information and the second product outer contour line information of the reference image information based on a preset edge extraction algorithm and object recognition algorithm, wherein the edge extraction algorithm can be a Gaussian difference algorithm, a Canny-Derived edge detection algorithm, or a Prewott edge detection algorithm; the first product outer contour line information is used to describe the outer contour line of the non-woven fabric sample in the real-time image information; the second product outer contour line information is used to describe the outer contour line of the non-woven fabric sample in the reference image information.

[0050] In S520 , first target edge line information is determined based on the first product outer contour line information, and second target edge line information is determined based on the second product outer contour line information.

[0051] For example, see Figure 7 , Figure 7 The first target edge line information is displayed; after the terminal device obtains the first product outer contour line information and the second product outer contour line information, the terminal device can quickly determine the first target edge line information based on the first product outer contour line information, and at the same time determine the second target edge line information based on the second product outer contour line information, wherein the first target edge line information is used to describe the horizontal edge contour line of the non-woven fabric sample at the bottom in the real-time image information, and the second target edge line information is used to describe the horizontal edge contour line of the non-woven fabric sample at the bottom in the reference image information.

[0052] In S530 , the first target edge line information and the second target edge line information are merged to generate merged edge line information.

[0053] Specifically, after the terminal device determines the first target edge line information and the second target edge line information, the terminal device can align the two ends of the first target edge line information and the second target edge line information to merge the first target edge line information and the second target edge line information to generate merged edge line information.

[0054] For example, see Figure 8 ,In order to facilitate understanding, the redundant parts of the image are simplified. Figure 8 (a) shows the first target edge line information, Figure 8 (b) shows the second target edge line information, Figure 8 (c) shows the merged edge line information.

[0055] In S540 , segmentation vertical line information is generated according to each intersection point in the merged edge line information.

[0056] Specifically, after the terminal device generates the merged edge line information, the terminal device can generate segmentation vertical line information based on each intersection point in the merged edge line information, wherein each segmentation vertical line information coincides with the corresponding intersection point, and the segmentation vertical line information is a vertical line used to segment the non-woven fabric sample image area.

[0057] In S550 , key difference area information is generated according to the segmentation vertical line information and the first product outer contour line information.

[0058] Specifically, after the terminal device generates the dividing vertical line information, the terminal device can generate key difference area information based on the dividing vertical line information and the first product outer contour line information, so as to accurately and quickly determine the most critical difference area between the tests, wherein the key difference area information is used to describe the area enclosed by the dividing vertical line information, the first product outer contour line information and the edge contour lines of the non-woven fabric sample on the left and right sides.

[0059] For example, see Figure 8 (c) and Figure 9 , Figure 9 The white dots filled in the middle represent the intersection points. Figure 9 The dotted line in represents the vertical line information of the segmentation. Figure 9 The area filled with hatching inside indicates the key difference area information.

[0060] In some possible implementations, in order to further assist the test personnel in analyzing the test results of the product to be tested, please refer to Figure 10 After step S550, the method further includes but is not limited to the following steps: In S551 , a plurality of historical image information of the product to be inspected is obtained.

[0061] Specifically, the terminal device can obtain multiple historical image information of the product to be inspected.

[0062] In S552 , based on an edge extraction algorithm, historical outer contour line information of each historical image information is obtained.

[0063] Specifically, after the terminal device obtains multiple historical image information, the terminal device can obtain the historical outer contour line information of each historical image information based on the edge extraction algorithm. The method of obtaining the historical outer contour line information is similar to the above step S510, so it is not repeated.

[0064] In S553 , third target edge line information is determined based on the historical outer contour line information.

[0065] Specifically, after the terminal device obtains the historical outer contour line information, the terminal device can determine the third target edge line information based on the historical outer contour line information, wherein the third target edge line information is used to describe the horizontal edge contour line below the non-woven fabric sample in the historical image information.

[0066] In S554 , the plurality of third target edge line information and the first product outer contour line information are merged in sequence to generate difference change trend information.

[0067] Specifically, after the terminal device determines the third target edge line information, the terminal device can merge and process multiple third target edge line information and the first product outer contour line information in turn, integrate and generate difference change trend information, and thus determine the plastic deformation trend of the product to be tested.

[0068] In some possible implementations, in order to facilitate the detection of personnel to gather effective information, please refer to Figure 11 After step S554, the method further includes but is not limited to the following steps: In S555 , reference fixed point information of the real-time image information is acquired.

[0069] Specifically, the terminal device can obtain reference fixed point information of the real-time image information, wherein the reference fixed point information is used to describe a reference point, such as a corner point of a fixed hardware device other than the product to be inspected.

[0070] In S556 , relative distance information is generated based on the reference fixed point information and the split vertical line information.

[0071] Specifically, after the terminal device obtains the reference fixed point information, the terminal device can generate relative distance information based on the reference fixed point information and the split vertical line information, where the relative distance information is used to describe the shortest distance between the reference fixed point information and the split vertical line information.

[0072] In S557 , based on the relative distance information, the difference change trend information is intercepted and processed to generate key change trend information.

[0073] Specifically, after the terminal device generates the relative distance information, the terminal device can intercept and process the difference change trend information based on the relative distance information, intercept the area with the most analysis value in the difference change trend information, and effectively generate key change trend information.

[0074] The implementation principle of the intelligent control method of the non-woven fabric lint testing equipment in the embodiment of the present application is as follows: the terminal device can first obtain the real-time friction cycle information of the product to be tested and the real-time lint increase corresponding to the real-time friction cycle information, and obtain the historical test data set information of the reference product, and then determine the reference lint increase based on the real-time friction cycle information and multiple historical friction cycle information, and then generate test validity evaluation information based on the real-time lint increase and the reference lint increase, and finally generate equipment control instruction information based on the test validity evaluation information, thereby improving the reliability of the test results.

[0075] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0076] The embodiment of the present application also provides an intelligent control system based on a non-woven fabric dropping lint testing device. For ease of description, only the parts related to the present application are shown, such as Figure 12 As shown, the system 120 includes: Real-time friction cycle information acquisition module 121: used to obtain the real-time friction cycle information of the product to be tested and the real-time flocculent increase corresponding to the real-time friction cycle information, and obtain historical test data set information of the reference product, wherein the historical test data set information includes multiple historical friction cycle information and the historical flocculent increase corresponding to each historical friction cycle information; The reference flocculent increase amount determining module 122 is configured to determine a reference flocculent increase amount based on the real-time friction cycle information and a plurality of historical friction cycle information; Test validity evaluation information generating module 123: used to generate test validity evaluation information according to the real-time flocculent increase amount and the reference flocculent increase amount; The device control instruction information generating module 124 is configured to generate device control instruction information based on the test effectiveness evaluation information.

[0077] It should be noted that the information interaction, execution process and other contents between the above modules are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0078] The present application also provides a terminal device, such as Figure 13 As shown, the terminal device 130 of this embodiment includes: a processor 131, a memory 132, and a computer program 133 stored in the memory 132 and executable on the processor 131. When the processor 131 executes the computer program 133, the steps in the above-mentioned intelligent control method embodiment are implemented, such as Figure 1 Steps S100 to S400 shown; or, when the processor 131 executes the computer program 133, the functions of each module in the above device are realized, such as Figure 12 Functions of modules 121 to 124 are shown.

[0079] The terminal device 130 can be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device 130 includes but is not limited to a processor 131 and a memory 132. Those skilled in the art will understand that Figure 13 It is merely an example of the terminal device 130 and does not constitute a limitation of the terminal device 130. The terminal device 130 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 130 may also include input and output devices, network access devices, buses, etc.

[0080] The processor 131 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0081] The memory 132 may be an internal storage unit of the terminal device 130, such as a hard disk or memory of the terminal device 130, or an external storage device of the terminal device 130, such as a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 130; further, the memory 132 may also include both an internal storage unit and an external storage device of the terminal device 130, and the memory 132 may also store the computer program 133 and other programs and data required by the terminal device 130, and the memory 132 may also be used to temporarily store data that has been output or is to be output.

[0082] One embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form; the computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium.

[0083] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the methods, principles, and structures of the present application should be included in the scope of protection of the present application.

Claims

1. An intelligent control method based on non-woven fabric lint testing equipment, characterized in that: The method comprises: Acquire real-time friction cycle information of the product to be tested and the real-time increase in lint corresponding to the real-time friction cycle information, and acquire historical test data set information of a reference product, wherein the historical test data set information includes multiple historical friction cycle information and the historical increase in lint corresponding to each historical friction cycle information; determining a reference flocculent increase amount based on the real-time friction cycle information and a plurality of historical friction cycle information; generating test effectiveness evaluation information according to the real-time flocculent increase and the reference flocculent increase; Based on the test effectiveness evaluation information, device control instruction information is generated.

2. The method according to claim 1, characterized in that The determining of the reference flocculent increase amount based on the real-time friction cycle information and a plurality of historical friction cycle information includes: determining reference friction cycle information based on the real-time friction cycle information and a plurality of historical friction cycle information, wherein the reference friction cycle information is used to describe historical friction cycle information having the same order as the real-time friction cycle information; Determining a historical flocculent increase amount corresponding to the reference friction cycle information as a reference flocculent increase amount; Accordingly, the test validity evaluation information includes test validity information or test invalid information, and the test validity evaluation information is generated according to the real-time flocculent increase amount and the reference flocculent increase amount, including: generating increase difference information according to the reference flocculent increase and the real-time flocculent increase; Comparing the increment difference information with the preset difference limit value information; If the increment difference information is greater than or equal to the phase difference limit value information, generating test invalid information; If the increment difference information is less than the phase difference limit information, generating test validity information; Accordingly, the device control instruction information includes a continue test instruction or a stop test instruction, and the generating of the device control instruction information based on the test effectiveness evaluation information includes: If the test validity evaluation information is test validity information, generating a continue test instruction; If the test validity evaluation information is test invalid information, a test termination instruction is generated.

3. The method according to claim 2, characterized in that If the test abort instruction is generated, then after generating device control instruction information based on the test effectiveness evaluation information, the method further includes: Acquire real-time image information of the product to be inspected and reference image information of the reference friction cycle information; Based on a preset edge extraction algorithm, obtaining first product outer contour line information of the real-time image information and second product outer contour line information of the reference image information; Determining first target edge line information based on the first product outer contour line information, and determining second target edge line information based on the second product outer contour line information; Merging the first target edge line information and the second target edge line information to generate merged edge line information; generating segmentation vertical line information according to each intersection point in the merged edge line information; Key difference area information is generated according to the segmentation vertical line information and the first product outer contour line information.

4. The method according to claim 3, characterized in that After generating key difference area information based on the segmentation vertical line information and the first product outer contour line information, the method further includes: Acquire multiple historical image information of the product to be inspected; Based on the edge extraction algorithm, obtaining historical outer contour line information of each of the historical image information; Determining third target edge line information based on the historical outer contour line information; The plurality of third target edge line information and the first product outer contour line information are sequentially merged to generate difference change trend information.

5. The method according to claim 4, characterized in that After sequentially merging the plurality of third target edge line information and the first product outer contour line information to generate difference change trend information, the method further includes: Acquiring reference fixed point information of the real-time image information; generating relative distance information according to the reference fixed point information and the segmentation vertical line information; Based on the relative distance information, the difference change trend information is intercepted and processed to generate key change trend information.

6. An intelligent control system based on non-woven fabric dropping test equipment, characterized in that: The system comprises: A real-time friction cycle information acquisition module is configured to acquire the real-time friction cycle information of the product to be tested and the real-time flocculent increase corresponding to the real-time friction cycle information, and to acquire historical test data set information of a reference product, wherein the historical test data set information includes multiple historical friction cycle information and the historical flocculent increase corresponding to each historical friction cycle information; A reference flocculent increase amount determination module is configured to determine a reference flocculent increase amount based on the real-time friction cycle information and a plurality of historical friction cycle information; A test effectiveness evaluation information generating module is configured to generate test effectiveness evaluation information according to the real-time flocculent increase amount and the reference flocculent increase amount; Device control instruction information generation module: used to generate device control instruction information based on the test effectiveness evaluation information.

7. The system according to claim 6, characterized in that The reference flocculent increase amount determination module includes: a reference friction cycle information determination submodule, configured to determine reference friction cycle information based on the real-time friction cycle information and a plurality of historical friction cycle information, wherein the reference friction cycle information is used to describe historical friction cycle information having the same order as the real-time friction cycle information; The reference flocculent increase amount determination submodule is configured to determine the historical flocculent increase amount corresponding to the reference friction cycle information as the reference flocculent increase amount.

8. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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