Intelligent detecting and sorting method and system based on light non-slip antifouling ceramic tiles

Abstract

The invention belongs to the field of tile detection, relates to a data analysis technology, and aims to solve the problem that efficiency improvement analysis cannot be performed from the perspective of macroscopic detection process optimization in the prior art, in particular to an intelligent detection and sorting method and system based on light non-slip antifouling tiles. Comprising a quality detection module, a sorting processing module, a quality evaluation module, a detection optimization module and a database, the quality detection module is in communication connection with the sorting processing module and the database, and the sorting processing module is in communication connection with the quality evaluation module and the detection optimization module; quality detection analysis can be conducted on the light non-slip antifouling ceramic tiles, complete continuous quality detection is conducted on the ceramic tiles through multiple quality detection procedures, it is guaranteed that the comprehensive performance of the detected ceramic tiles can meet the requirement, meanwhile, the ceramic tiles with the abnormal quality are sorted through the sorting processing module, and the quality of the ceramic tiles is improved. And data support is provided for an evaluation analysis process and an optimization analysis process.

Description

Technical Field

[0001] The present invention belongs to the field of ceramic tile detection and relates to data analysis technology, and specifically is an intelligent detection and sorting method and system based on lightweight anti-skid and anti-fouling ceramic tiles. Background Art

[0002] The surface of anti-slip and anti-fouling tiles usually has a pleated stripe or concave and convex dot design, which can effectively prevent slipping and falling. This design increases the friction of the tile surface, especially in humid environments. It can maintain excellent anti-slip effect; anti-fouling performance is achieved through specially treated glaze and surface treatment process; special anti-fouling formula and microporous technology make it difficult for stains to adhere and penetrate, keeping the tile surface clean.

[0003] The invention patent with announcement number CN117274249A discloses a method and system for detecting the appearance of ceramic tiles based on artificial intelligence image technology. The appearance detection method performs pre-segmentation processing on the ceramic tile image to be detected by setting a segmentation standard value, divides the ceramic tile image to be detected into two parts, and sends the part with more ceramic tile defects into the detection model for detection, thereby effectively improving the efficiency of ceramic tile appearance detection; however, the method can only detect surface defects of ceramic tiles, while the quality parameters of ceramic tiles also include size, weight, anti-slip property, etc.; the method can only optimize the detection efficiency in a single link, and cannot perform efficiency improvement analysis from the perspective of macroscopic detection process optimization, resulting in the problem of low overall detection efficiency.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent detection and sorting method and system based on lightweight anti-slip and anti-fouling tiles, which is used to solve the problem that the existing technology cannot analyze the efficiency improvement from the perspective of macroscopic detection process optimization; The technical problem to be solved by the present invention is: how to provide an intelligent detection and sorting method and system based on lightweight anti-slip and anti-fouling tiles that can perform efficiency improvement analysis from the perspective of macroscopic detection process optimization.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent detection and sorting system based on lightweight non-slip and anti-fouling tiles, comprising a quality detection module, a sorting processing module, a quality assessment module, a detection optimization module and a database, wherein the quality detection module is communicatively connected to the sorting processing module and the database, and the sorting processing module is communicatively connected to the quality assessment module and the detection optimization module; The quality inspection module is used to perform quality inspection and analysis on lightweight anti-skid and anti-fouling tiles: generate continuous inspection cycles, mark the lightweight anti-skid and anti-fouling tiles to be inspected as inspection objects, independently generate a random inspection sequence for each batch of inspection objects at the beginning of the first inspection cycle, and inspect all inspection objects of the same batch in turn through the quality inspection process according to the random inspection sequence; The quality assessment module is used to assess and analyze the overall quality of lightweight anti-skid and anti-fouling tiles: at the end of the detection cycle, the number of objects sorted and rejected in the weight detection process, anti-skid detection process, size detection process and surface detection process is marked as weight sorting value ZF, anti-skid sorting value FF, size sorting value CF and surface sorting value BF respectively, the total number of objects inspected for quality during the detection cycle is marked as, the weight sorting value ZF, anti-skid sorting value FF, size sorting value CF, surface sorting value BF and detection value JC are numerically calculated to obtain the evaluation coefficient PG of the detection cycle, and the overall quality of the objects inspected during the detection cycle is judged to meet the requirements by the evaluation coefficient PG; The detection optimization module is used to optimize and analyze the detection process of lightweight anti-slip and anti-fouling tiles.

[0007] Furthermore, the quality inspection process includes a weight inspection process, an anti-slip inspection process, a size inspection process and a surface inspection process; the random inspection sequence is generated by randomly sorting the quality inspection processes.

[0008] Furthermore, the quality detection module includes a weight detection unit, an anti-slip detection unit, a size detection unit and a surface sorting unit, and the weight sorting unit, the anti-slip sorting unit, the size sorting unit and the surface sorting unit are used to execute the weight detection process, the anti-slip detection process, the size detection process and the surface detection process respectively.

[0009] Furthermore, the sorting and processing module includes a weight sorting unit, an anti-slip sorting unit, a size sorting unit and a surface sorting unit. When an inspection object that does not meet the requirements is detected in the weight inspection process, the anti-slip inspection process, the size inspection process and the surface inspection process, the corresponding inspection object is removed from the quality inspection process by the weight sorting unit, the anti-slip sorting unit, the size sorting unit and the surface sorting unit respectively.

[0010] Furthermore, the specific process of determining whether the overall quality of the inspection object inspected within the inspection period meets the requirements includes: comparing the evaluation coefficient PG with the preset evaluation threshold PGmax: if the evaluation coefficient PG is less than the evaluation threshold PGmax, then it is determined that the overall quality of the inspection object inspected within the inspection period meets the requirements; if the evaluation coefficient PG is greater than or equal to the evaluation threshold PGmax, then it is determined that the overall quality of the inspection object inspected within the inspection period does not meet the requirements, a quality abnormality signal is generated and the quality abnormality signal is sent to the mobile phone terminal of the management personnel.

[0011] Furthermore, the specific process of the detection optimization module optimizing and analyzing the detection process of lightweight anti-slip and anti-fouling tiles includes: at the end of the detection cycle, the ratio of the weight sorting value ZF, the anti-slip sorting value FF, the size sorting value CF and the surface sorting value BF to the number of detection objects processed in the corresponding detection process are marked as weight priority value, anti-slip priority value, size priority value and surface priority value respectively, and the weight detection process, anti-slip detection process, size detection process and surface detection process are arranged in descending order according to the corresponding priority values ​​to obtain a priority detection order, and in the next detection cycle, all detection objects of the same batch are detected in turn through the quality detection process according to the priority detection order.

[0012] An intelligent detection and sorting method based on lightweight anti-slip and anti-fouling tiles comprises the following steps: Step 1: Perform quality inspection and analysis on lightweight anti-skid and anti-fouling tiles: Generate continuous inspection cycles, mark the lightweight anti-skid and anti-fouling tiles to be inspected as inspection objects, and independently generate a random inspection sequence for each batch of inspection objects at the beginning of the first inspection cycle. All inspection objects of the same batch are inspected in turn through the quality inspection process according to the random inspection sequence; Step 2: sort and remove the test objects that do not meet the requirements during the quality inspection process; Step 3: Evaluate and analyze the overall quality of the lightweight anti-slip and anti-fouling tiles: obtain the evaluation coefficient PG of the detection period at the end of the detection period, and use the evaluation coefficient PG to determine whether the overall quality of the detection object detected during the detection period meets the requirements; Step 4: Optimize and analyze the inspection process of lightweight anti-slip and anti-fouling tiles and obtain the optimized inspection sequence. In the next inspection cycle, all inspection objects of the same batch will be inspected through the quality inspection process in turn according to the priority inspection order.

[0013] The present invention has the following beneficial effects: 1. The quality inspection module can be used to conduct quality inspection and analysis on lightweight anti-slip and anti-fouling tiles. Through multiple quality inspection processes, complete continuous quality inspection of tiles can be carried out to ensure that the comprehensive performance of the tiles that pass the inspection can meet the requirements. At the same time, combined with the sorting and processing module, tiles with abnormal quality can be sorted and processed to provide data support for the evaluation and analysis process and the optimization analysis process; 2. The quality assessment module can be used to evaluate and analyze the overall quality of lightweight anti-slip and anti-fouling tiles, and the sorting and rejection status of all quality inspection processes within the inspection cycle can be comprehensively analyzed to obtain the evaluation coefficient. According to the evaluation coefficient, the overall quality of the tiles can be fed back, and an early warning can be issued when the overall quality is abnormal, reminding the management personnel to optimize the process or equipment at the production end in time; 3. The detection optimization module can be used to optimize and analyze the detection process of lightweight anti-slip and anti-fouling tiles. The execution order of the detection process can be optimized based on the unqualified rate fed back from each detection process within the detection cycle, so that the detection process with a high unqualified rate is executed first, thereby reducing the number of inspections in subsequent detection processes, that is, reducing the number of repeated inspections of tiles with unqualified single performance, thereby improving the overall detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0016] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0017] Embodiment 1: Figure 1As shown, an intelligent detection and sorting system based on lightweight anti-skid and anti-fouling tiles includes a quality detection module, a sorting processing module, a quality assessment module, a detection optimization module and a database. The quality detection module includes a weight detection unit, an anti-skid detection unit, a size detection unit and a surface sorting unit. The sorting processing module includes a weight sorting unit, an anti-skid sorting unit, a size sorting unit and a surface sorting unit. The quality detection module is communicatively connected with the sorting processing module and the database, and the sorting processing module is communicatively connected with the quality assessment module and the detection optimization module.

[0018] The quality inspection module is used to perform quality inspection and analysis on lightweight anti-skid and anti-fouling tiles: generate continuous inspection cycles, mark the lightweight anti-skid and anti-fouling tiles to be inspected as inspection objects, and independently generate a random inspection order for each batch of inspection objects at the beginning of the first inspection cycle. All inspection objects of the same batch are inspected in turn through the quality inspection process according to the random inspection order. The quality inspection process includes a weight inspection process, an anti-skid inspection process, a size inspection process, and a surface inspection process; the random inspection order is generated by randomly sorting the quality inspection processes; the weight sorting unit, the anti-skid sorting unit, the size sorting unit, and the surface sorting unit are used to execute the weight inspection process, the anti-skid inspection process, the size inspection process, and the surface inspection process, respectively; The specific process of the weight detection process includes: weighing the detection object and marking the obtained weight value as the weighing value, marking the absolute value of the difference between the weighing value and the weight standard value of the detection object as the weight difference value, obtaining the weight difference threshold value through the database, and comparing the weight difference value with the weight difference threshold value: if the weight difference value is less than the weight difference threshold value, it is determined that the weight of the detection object meets the requirements; if the weight difference value is greater than or equal to the weight difference threshold value, it is determined that the weight of the detection object does not meet the requirements, generating a weight sorting signal and sending the weight sorting signal to the weight sorting unit, and the weight sorting unit sorts and removes the corresponding detection object from the quality detection process after receiving the weight sorting signal; The specific process of the anti-skid detection process includes: obtaining the friction coefficient of the surface of the detection object through the static friction coefficient method, obtaining the friction threshold through the database, and comparing the friction coefficient with the friction threshold: if the friction coefficient is greater than or equal to the friction threshold, it is determined that the anti-skid performance of the detection object meets the requirements; if the friction coefficient is less than the friction threshold, it is determined that the anti-skid performance of the detection object does not meet the requirements, and an anti-skid sorting signal is generated and sent to the anti-skid sorting unit. After receiving the anti-skid sorting signal, the anti-skid sorting unit sorts and removes the corresponding detection object from the quality inspection process; The specific process of the size detection process includes: obtaining the length value, width value and thickness value of the detection object through an optical measurement method, obtaining the length range, width range and thickness range through a database, and if the length value, width value and thickness value of the detection object are respectively within the length range, width range and thickness range, it is determined that the size of the detection object meets the requirements; otherwise, it is determined that the size of the detection object does not meet the requirements, and a size sorting signal is generated and sent to a size sorting unit. After receiving the size sorting signal, the size sorting unit sorts and removes the corresponding detection object from the quality detection process; The specific process of the surface detection process includes: taking an image of the surface of the detection object and marking the captured image as a detection image, enlarging the detection image into a pixel grid image and performing grayscale transformation, retrieving the normal grayscale range and defect threshold of the detection object through the database, marking the pixel grid whose grayscale value is outside the normal grayscale range as a defect grid, marking the ratio of the number of defect grids to the number of pixel grids as a defect coefficient, and comparing the defect coefficient with the defect threshold: if the defect coefficient is less than the defect threshold, it is determined that the surface quality of the detection object meets the requirements; if the defect coefficient is greater than or equal to the defect threshold, it is determined that the surface quality of the detection object does not meet the requirements, generating a surface sorting signal and sending the surface sorting signal to the surface sorting unit, and the surface sorting unit sorts and removes the corresponding detection object from the quality detection process after receiving the surface sorting signal; performing quality inspection and analysis on lightweight non-slip and anti-fouling tiles, performing complete continuous quality inspection on the tiles through multiple quality inspection processes, ensuring that the comprehensive performance of the tiles that pass the inspection can meet the requirements, and combining the sorting processing module to sort and process the tiles with abnormal quality, providing data support for the evaluation and analysis process and the optimization analysis process.

[0019] The quality assessment module is used to evaluate and analyze the overall quality of lightweight anti-slip and anti-fouling tiles: at the end of the inspection cycle, the number of inspection objects sorted and rejected in the weight inspection process, anti-slip inspection process, size inspection process and surface inspection process are marked as weight sorting value ZF, anti-slip sorting value FF, size sorting value CF and surface sorting value BF respectively, and the total number of inspection objects subjected to quality inspection during the inspection cycle is marked as inspection value JC. The evaluation coefficient PG of the inspection cycle is obtained by the formula PG=(k1×ZF+k2×FF+k3×CF+k4×BF) / JC, where k1, k2, k3 and k4 are all proportional coefficients, and k1>k2>k3>k4>1; the evaluation coefficient PG is compared with the preset evaluation threshold PGmax: if the evaluation coefficient PG is less than the evaluation threshold PGmax, it is determined that the overall quality of the inspection object inspected within the inspection period meets the requirements; if the evaluation coefficient PG is greater than or equal to the evaluation threshold PGmax, it is determined that the overall quality of the inspection object inspected within the inspection period does not meet the requirements, and a quality abnormality signal is generated and sent to the mobile phone terminal of the manager; the sorting and rejection status of all quality inspection processes within the inspection period are comprehensively analyzed to obtain the evaluation coefficient, and the overall quality of the tiles is fed back according to the evaluation coefficient, and an early warning is issued when the overall quality is abnormal, reminding the management personnel to optimize the process or equipment at the production end in time.

[0020] The detection optimization module is used to optimize and analyze the detection process of lightweight anti-slip and anti-fouling tiles: at the end of the detection cycle, the ratio of the weight sorting value ZF, the anti-slip sorting value FF, the size sorting value CF and the surface sorting value BF to the number of detection objects processed in the corresponding detection process are marked as weight priority value, anti-slip priority value, size priority value and surface priority value respectively, and the weight detection process, anti-slip detection process, size detection process and surface detection process are arranged in descending order according to the corresponding priority values ​​to obtain a priority detection sequence. In the next detection cycle, all detection objects of the same batch are sequentially detected through the quality detection process according to the priority detection sequence; the execution order of the detection process is optimized based on the unqualified rate fed back from each detection process in the detection cycle, so that the detection process with a high unqualified rate is executed first, thereby reducing the number of detections in subsequent detection processes, that is, reducing the number of repeated detections of tiles with unqualified single performance, thereby improving the overall detection efficiency.

[0021] Embodiment 2: Figure 2 As shown, an intelligent detection and sorting method based on lightweight anti-slip and anti-fouling tiles includes the following steps: Step 1: Perform quality inspection and analysis on lightweight anti-skid and anti-fouling tiles: Generate continuous inspection cycles, mark the lightweight anti-skid and anti-fouling tiles to be inspected as inspection objects, and independently generate a random inspection sequence for each batch of inspection objects at the beginning of the first inspection cycle. All inspection objects of the same batch are inspected in turn through the quality inspection process according to the random inspection sequence; Step 2: sort and remove the test objects that do not meet the requirements during the quality inspection process; Step 3: Evaluate and analyze the overall quality of the lightweight anti-slip and anti-fouling tiles: obtain the evaluation coefficient PG of the detection period at the end of the detection period, and use the evaluation coefficient PG to determine whether the overall quality of the detection object detected during the detection period meets the requirements; Step 4: Optimize and analyze the inspection process of lightweight anti-slip and anti-fouling tiles and obtain the optimized inspection sequence. In the next inspection cycle, all inspection objects of the same batch will be inspected through the quality inspection process in turn according to the priority inspection order.

[0022] An intelligent detection and sorting method and system based on lightweight anti-skid and anti-fouling tiles. When working, continuous detection cycles are generated, lightweight anti-skid and anti-fouling tiles to be detected are marked as detection objects, and a random detection sequence is independently generated for each batch of detection objects at the beginning of the first detection cycle. All detection objects of the same batch are sequentially detected through a quality detection process according to the random detection sequence; detection objects that are detected to be unqualified in the quality detection process are sorted and eliminated; an evaluation coefficient PG of the detection cycle is obtained at the end of the detection cycle, and whether the overall quality of the detection objects detected in the detection cycle meets the requirements is determined by the evaluation coefficient PG; the detection process of lightweight anti-skid and anti-fouling tiles is optimized and analyzed to obtain an optimized detection sequence, and all detection objects of the same batch are sequentially detected through a quality detection process according to a priority detection sequence in the next detection cycle.

[0023] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0024] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; for example: formula PG=(k1×ZF+k2×FF+k3×CF+k4×BF) / JC; technicians in this field collect multiple groups of sample data and set corresponding evaluation coefficients for each group of sample data; substitute the set evaluation coefficients and the collected sample data into the formula, any four formulas constitute a four-variable linear equation system, screen the calculated coefficients and take the average, and obtain the values ​​of k1, k2, k3 and k4 as 4.25, 3.65, 3.21 and 2.72 respectively; The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding evaluation coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the evaluation coefficient is proportional to the value of the weight sorting value.

[0025] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0026] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent detection and sorting system based on lightweight anti-slip and anti-fouling tiles, characterized in that: It includes a quality detection module, a sorting and processing module, a quality assessment module, a detection optimization module and a database. The quality detection module is communicatively connected with the sorting and processing module and the database. The sorting and processing module is communicatively connected with the quality assessment module and the detection optimization module. The quality inspection module is used to perform quality inspection and analysis on lightweight anti-skid and anti-fouling tiles: generate continuous inspection cycles, mark the lightweight anti-skid and anti-fouling tiles to be inspected as inspection objects, independently generate a random inspection sequence for each batch of inspection objects at the beginning of the first inspection cycle, and inspect all inspection objects of the same batch in turn through the quality inspection process according to the random inspection sequence; The quality assessment module is used to assess and analyze the overall quality of lightweight anti-skid and anti-fouling tiles: at the end of the detection cycle, the number of objects sorted and rejected in the weight detection process, anti-skid detection process, size detection process and surface detection process is marked as weight sorting value ZF, anti-skid sorting value FF, size sorting value CF and surface sorting value BF respectively, the total number of objects inspected for quality during the detection cycle is marked as, the weight sorting value ZF, anti-skid sorting value FF, size sorting value CF, surface sorting value BF and detection value JC are numerically calculated to obtain the evaluation coefficient PG of the detection cycle, and the overall quality of the objects inspected during the detection cycle is judged to meet the requirements by the evaluation coefficient PG; The detection optimization module is used to optimize and analyze the detection process of lightweight anti-slip and anti-fouling tiles.

2. According to claim 1, an intelligent detection and sorting system based on lightweight anti-slip and anti-fouling tiles is characterized in that: The quality inspection process includes a weight inspection process, an anti-slip inspection process, a size inspection process and a surface inspection process; the random inspection sequence is generated by randomly sorting the quality inspection processes.

3. According to claim 2, an intelligent detection and sorting system based on lightweight anti-slip and anti-fouling tiles is characterized in that: The quality detection module includes a weight detection unit, an anti-slip detection unit, a size detection unit and a surface sorting unit. The weight sorting unit, the anti-slip sorting unit, the size sorting unit and the surface sorting unit are used to execute the weight detection process, the anti-slip detection process, the size detection process and the surface detection process respectively.

4. The intelligent detection and sorting system based on lightweight anti-slip and anti-fouling tiles according to claim 3 is characterized in that: The sorting and processing module includes a weight sorting unit, an anti-slip sorting unit, a size sorting unit and a surface sorting unit. When an inspection object that does not meet the requirements is detected in the weight inspection process, the anti-slip inspection process, the size inspection process and the surface inspection process, the corresponding inspection object will be removed from the quality inspection process by the weight sorting unit, the anti-slip sorting unit, the size sorting unit and the surface sorting unit respectively.

5. The intelligent detection and sorting system based on lightweight anti-slip and anti-fouling tiles according to claim 4 is characterized in that: The specific process of determining whether the overall quality of the inspection object inspected within the inspection period meets the requirements includes: comparing the evaluation coefficient PG with the preset evaluation threshold PGmax: if the evaluation coefficient PG is less than the evaluation threshold PGmax, then it is determined that the overall quality of the inspection object inspected within the inspection period meets the requirements; if the evaluation coefficient PG is greater than or equal to the evaluation threshold PGmax, then it is determined that the overall quality of the inspection object inspected within the inspection period does not meet the requirements, and a quality abnormality signal is generated and sent to the mobile phone terminal of the management personnel.

6. The intelligent detection and sorting system based on lightweight anti-slip and anti-fouling tiles according to claim 5 is characterized in that: The specific process of the detection optimization module optimizing and analyzing the detection process of lightweight anti-slip and anti-fouling tiles includes: at the end of the detection cycle, the ratio of the weight sorting value ZF, the anti-slip sorting value FF, the size sorting value CF and the surface sorting value BF to the number of detection objects processed in the corresponding detection process are marked as weight priority value, anti-slip priority value, size priority value and surface priority value respectively, and the weight detection process, anti-slip detection process, size detection process and surface detection process are arranged in descending order according to the corresponding priority values ​​to obtain a priority detection order, and in the next detection cycle, all detection objects of the same batch are detected in turn through the quality detection process according to the priority detection order.

7. An intelligent detection and sorting method based on lightweight anti-slip and anti-fouling tiles, characterized in that: The following steps are involved: Step 1: Perform quality inspection and analysis on lightweight anti-skid and anti-fouling tiles: Generate continuous inspection cycles, mark the lightweight anti-skid and anti-fouling tiles to be inspected as inspection objects, and independently generate a random inspection sequence for each batch of inspection objects at the beginning of the first inspection cycle. All inspection objects of the same batch are inspected in turn through the quality inspection process according to the random inspection sequence; Step 2: sort and remove the test objects that do not meet the requirements during the quality inspection process; Step 3: Evaluate and analyze the overall quality of the lightweight anti-slip and anti-fouling tiles: obtain the evaluation coefficient PG of the detection period at the end of the detection period, and use the evaluation coefficient PG to determine whether the overall quality of the detection object detected during the detection period meets the requirements; Step 4: Optimize and analyze the inspection process of lightweight anti-slip and anti-fouling tiles and obtain the optimized inspection sequence. In the next inspection cycle, all inspection objects of the same batch will be inspected through the quality inspection process in turn according to the priority inspection order.

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