An inspection system for textile shipments

Abstract

The invention discloses an inspection system for textile shipment, belonging to the technical field of textile inspection. By statistically analyzing different quality inspection parameters and corresponding responsible quality inspectors when textiles are shipped and performing data preprocessing to obtain corresponding quality inspection parameter sequences, before verifying whether each quality inspection parameter meets the requirements, textiles with missed inspections can be screened out and classified, which can effectively improve the accuracy of subsequent verification of each quality inspection parameter of the textiles, and can also provide data support for missed inspections for subsequent analysis of the overall inspection status of quality inspectors, thereby improving the diversity of monitoring and analysis of textile inspection data. The invention is used to solve the technical problems in the existing scheme that the quality inspection parameters are not screened and classified in the early stage, and the quality inspection items corresponding to the screened effective inspection textiles are not verified and counted in the mid-term.

Description

[0001] This application is a divisional application of the application filed on September 21, 2023, with application number 202311224327.2 and invention name “A system for inspecting textile shipments”. Technical Field

[0002] The invention relates to the technical field of textile inspection, and in particular to a textile shipment inspection system. Background Art

[0003] Textiles are products made through textile processing, including yarn, woven fabrics, knitted fabrics, braided fabrics, etc.; they are divided into two categories: woven fabrics and knitted fabrics; the inspection of textile shipments is used to check their quality.

[0004] The Chinese invention with publication number CN113128635A and name of a method and system for inspecting textile shipments discloses a method comprising: compressing each quality inspection parameter of the textile and inputting it into a two-dimensional code generator to generate a two-dimensional code label; printing the two-dimensional code label on the textile; scanning the two-dimensional code label to extract the data recorded in the two-dimensional code label; matching the data extracted from the two-dimensional code label with standard data stored in a database, and when there is a match failure, issuing an unqualified signal; the system comprises: a compression module, a two-dimensional code generator, a spraying device, a two-dimensional code reading device and a matching module; using the two-dimensional code label as a recording carrier, compressing the quality inspection parameters of the textile and recording them in the two-dimensional code, obtaining the quality inspection parameters of the textile by scanning the two-dimensional code, and efficiently identifying unqualified textiles by matching the quality inspection parameters with the standard data.

[0005] The defects of the existing technical solutions include: simply comparing each quality inspection parameter of the textile with the corresponding standard inspection data to determine whether the corresponding quality inspection item is qualified and displaying or prompting it, without screening and classifying the effectiveness of the quality inspection parameters in the early stage, and without implementing qualification verification and statistics for the quality inspection items corresponding to the screened effective inspection textiles in the mid-term, resulting in incomplete monitoring and analysis of textile inspection data and poor subsequent traceability management. Summary of the invention

[0006] The purpose of the present invention is to provide a textile shipment inspection system to solve the technical problems that in the existing solutions, there is no screening and classification of the effectiveness of quality inspection parameters in the early stage, and no qualification verification and statistics of the quality inspection items corresponding to the screened effective inspection textiles in the mid-term, resulting in incomplete monitoring and analysis of textile inspection data and poor subsequent traceability management.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A textile shipment inspection system, comprising a shipment data statistics processing module, a shipment data inspection and analysis module and an inspection platform;

[0009] The shipping data statistics processing module is used to count the different quality inspection parameters and the corresponding quality inspection personnel when the textiles are shipped, and to pre-process the statistical data to obtain the shipping statistical processing data corresponding to different textiles; including:

[0010] All textiles corresponding to the same production batch to be shipped are numbered and marked; several quality inspection parameters corresponding to different textiles and the corresponding numbers of responsible quality inspectors are obtained in sequence according to the numbering order, the values ​​of several quality inspection parameters are extracted and associated with the corresponding numbers of responsible quality inspectors, all the quality inspection parameters associated with the quality inspector numbers are arranged and combined in the order of inspection to obtain a quality inspection parameter subsequence corresponding to the textiles, the total number of all elements in the quality inspection parameter subsequence is counted and the values ​​are set as identification elements, and the identification elements are sorted and combined with the quality inspection parameter subsequence to obtain a quality inspection parameter sequence;

[0011] The quality inspection parameter sequence corresponding to all serially numbered textiles constitutes the shipment statistics;

[0012] When verifying the validity of the shipping statistical data, all quality inspection parameter sequences in the shipping statistical data are traversed in numerical order to obtain corresponding identification elements, and the identification elements are compared with the preset standard identification to determine whether valid inspection textiles or invalid inspection textiles are obtained;

[0013] Count all invalid inspected textiles and re-inspect them through quality inspection process and quality inspectors and make new quality inspection parameter statistics;

[0014] All valid inspection labels, valid inspection textiles and corresponding quality inspection parameter sequences constitute shipment statistical processing data and are uploaded to the inspection platform;

[0015] The shipment data inspection and analysis module is used to perform conformity verification and statistics on the quality inspection items corresponding to all validly inspected textiles according to the shipment statistical processing data, and obtain inspection and analysis information.

[0016] Preferably, the value of the identification element is extracted and compared with the preset standard identification value. If they are the same, the corresponding quality inspection parameter sequence is determined to be valid and a valid inspection label is generated. According to the valid inspection label, the corresponding textile is marked as a valid inspection textile;

[0017] If they are not the same, the corresponding quality inspection parameter sequence is determined to be invalid and an invalid inspection label is generated, and the corresponding textile is marked as an invalid inspection textile according to the invalid inspection label.

[0018] Preferably, the working steps of the shipment data inspection and analysis module include:

[0019] Compare and judge the values ​​of several elements in the quality inspection parameter sequence corresponding to all valid inspection textiles sorted in the shipment statistical processing data with the corresponding standard inspection thresholds in turn;

[0020] If the element value is different from the corresponding standard inspection threshold, an abnormal element label is generated, and the quality inspection item of the corresponding element and the associated quality inspector are marked as abnormal quality inspection item and abnormal quality inspector respectively according to the abnormal element label;

[0021] Carry out abnormal verification on abnormal quality inspection items and obtain abnormal verification results;

[0022] If the element value is the same as the corresponding standard inspection threshold, a normal element label is generated;

[0023] Abnormal element labels or normal element labels corresponding to several elements in the quality inspection parameter sequence and abnormal verification results constitute local quality inspection analysis data.

[0024] Preferably, when classifying the corresponding textiles according to the local quality inspection and analysis data, the local quality inspection and analysis data are traversed;

[0025] If there is no abnormal element label, a qualified signal is generated and the corresponding textile is marked as a qualified textile; if there is an abnormal element label, an unqualified signal is generated and the corresponding textile is marked as an unqualified textile;

[0026] The local quality inspection and analysis data corresponding to all validly inspected textiles and the marked qualified textiles or unqualified textiles constitute the inspection and analysis information and are uploaded to the inspection platform.

[0027] Preferably, the step of obtaining the abnormality verification result includes:

[0028] The textiles corresponding to the abnormal quality inspection items shall be re-inspected by a third quality inspector;

[0029] If the re-inspection result is abnormal, the abnormal quality inspection by the abnormal quality inspector is determined to be valid and a first abnormal inspection label is generated;

[0030] If the re-inspection result is normal, the abnormal quality inspection by the abnormal quality inspector is determined to be invalid and a second abnormal inspection label is generated;

[0031] The first anomaly check label or the second anomaly check label constitutes an anomaly verification result.

[0032] Preferably, the shipment inspection data management module performs an overall evaluation of the production of all textiles corresponding to the same production batch and the inspection by quality inspectors based on the inspection analysis information, and dynamically manages the subsequent production of textiles and the inspection by quality inspectors based on the evaluation results.

[0033] Preferably, the total number of all textiles of the same production batch that are subjected to quality inspection is counted, and the total number of all qualified textiles is counted by traversing the inspection and analysis information, and the ratio of the total number of all qualified textiles to the total number of all textiles is calculated and set as the first ratio;

[0034] And, counting the total number of all invalid inspection textiles and setting it as the first abnormal total number, traversing all local quality inspection and analysis data in the inspection and analysis information to count the total number of occurrences of the second abnormal inspection tag and setting it as the second abnormal total number, summing the first abnormal total number and the second abnormal total number, and calculating the ratio of the summed value to the total number of all textiles and setting it as the second ratio;

[0035] The overall quality status of the textiles of the same production batch and the overall inspection status of the quality inspectors are analyzed and evaluated according to the first ratio and the second ratio to obtain an evaluation result.

[0036] Preferably, the first ratio and the second ratio are compared with the corresponding first threshold and second threshold respectively;

[0037] If the first ratio is greater than a first threshold and the second ratio is less than a second threshold, a quality pass signal and an inspection pass signal are generated; if the first ratio is not greater than the first threshold and the second ratio is not less than the second threshold, a quality fail signal and an inspection fail signal are generated;

[0038] The quality passing signal or the quality failing signal, the inspection passing signal or the inspection failing signal constitute the evaluation result.

[0039] Preferably, when dynamically managing the subsequent production of textiles and the inspection of quality inspectors based on the evaluation results, the evaluation results are traversed, and the production management of textiles and the management of quality inspectors of subsequent production batches are strengthened respectively based on the unqualified quality signals and unqualified inspection signals obtained through the traversal.

[0040] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0041] The present invention obtains the corresponding quality inspection parameter sequence by statistics on different quality inspection parameters of textiles when they are shipped and the corresponding responsible quality inspectors and performs data preprocessing. Before verifying whether each quality inspection parameter meets the requirements, the present invention can also screen out textiles that have been missed and classify them, which can effectively improve the accuracy of subsequent verification of each quality inspection parameter of the textiles. At the same time, it can also provide data support for missed detection for the analysis of the overall inspection status of subsequent quality inspectors, thereby improving the diversity of monitoring and analysis of textile inspection data.

[0042] The present invention performs automated qualification verification on all quality inspection items that are manually inspected and counted, and can efficiently and quickly obtain problems existing in different quality inspection items corresponding to different textiles. By re-inspecting the quality inspection items with abnormalities to determine whether the abnormalities are valid, the abnormal error inspections of the corresponding quality inspectors can be counted, which can provide reliable inspection data support for subsequent production management of textiles and inspection management of quality inspectors. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1 The present invention is a module block diagram of a textile shipment inspection system. DETAILED DESCRIPTION

[0045] 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.

[0046] like Figure 1 As shown, the present invention is a textile shipment inspection system, including a shipment data statistical processing module, a shipment data inspection and analysis module, a shipment inspection data management module and an inspection platform;

[0047] The shipping data statistics processing module is used to count the different quality inspection parameters and the corresponding quality inspection personnel when the textiles are shipped, and to pre-process the statistical data to obtain the shipping statistical processing data corresponding to different textiles; including:

[0048] All textiles corresponding to the same production batch to be shipped are numbered and marked as i, i = [1, 2, 3, ..., n]; n is a positive integer, representing all textiles corresponding to the same production batch;

[0049] Acquire several quality inspection parameters corresponding to different textiles and the corresponding numbers of the responsible quality inspectors in sequence in the order of numbers, there is at least one quality inspection parameter, and the quality inspection item corresponding to the quality inspection parameter is determined according to the existing quality inspection requirements, extract the values ​​of several quality inspection parameters and associate them with the corresponding numbers of the responsible quality inspectors, wherein the quality inspector pre-sets a corresponding number, which may be a work number, or may be obtained based on the existing quality inspector number setting rules, arrange and combine all the quality inspection parameters associated with the quality inspector numbers in the order of inspection to obtain a quality inspection parameter subsequence corresponding to the textile, count the total number of all elements in the quality inspection parameter subsequence and set its value as an identification element, and sort and combine the identification element with the quality inspection parameter subsequence to obtain a quality inspection parameter sequence;

[0050] For example, the quality inspection parameter sequence can be expressed as [Bi, i1, Yi1, i2, Yi2, i3, Yi3, ..., im, Yim], where Bi is the identification element corresponding to different textiles; m is a positive integer, indicating the total number of all quality inspection parameters; i1, i2, i3, ..., im indicate the values ​​of different quality inspection parameters corresponding to different textiles; Yi1, Yi2, Yi3, ..., Yim indicate the values ​​of different quality inspector numbers corresponding to different textiles;

[0051] The quality inspection parameter sequence corresponding to all serially numbered textiles constitutes the shipment statistics;

[0052] When verifying the validity of the shipping statistics data, all quality inspection parameter sequences in the shipping statistics data are traversed in the order of numbers to obtain the corresponding identification elements, and the values ​​of the identification elements are extracted and compared with the preset standard identification values; the standard identification values ​​are determined according to the total number of quality inspection parameters and the total number of quality inspection personnel numbers;

[0053] If they are the same, the corresponding quality inspection parameter sequence is determined to be valid and a valid inspection label is generated, and the corresponding textile is marked as a valid inspection textile according to the valid inspection label;

[0054] If they are not the same, the corresponding quality inspection parameter sequence is determined to be invalid and an invalid inspection label is generated, and the corresponding textile is marked as an invalid inspection textile according to the invalid inspection label;

[0055] It should be noted that valid inspection of textiles means that all quality inspection items of the corresponding textiles have been inspected by the corresponding quality inspectors; invalid inspection of textiles means that at least one quality inspection item of the corresponding textiles has not been inspected by the corresponding quality inspectors, and there is a defect of missed inspection; when there is a missed inspection, the value of the corresponding quality inspector number in the quality inspection parameter sequence is empty, so that the value of the corresponding identification element in the quality inspection parameter sequence is less than the standard identification value;

[0056] Count all invalid inspected textiles and re-inspect them through quality inspection process and quality inspectors and make new quality inspection parameter statistics;

[0057] All valid inspection labels, valid inspection textiles and corresponding quality inspection parameter sequences constitute shipment statistical processing data and are uploaded to the inspection platform;

[0058] Different from the prior art solution in which each quality inspection parameter of the textile is directly compared with the corresponding standard inspection data to determine whether the corresponding quality inspection item is qualified; in the embodiment of the present invention, by statistically analyzing the different quality inspection parameters of the textiles when they are shipped and the corresponding quality inspectors responsible, and pre-processing the data to obtain the corresponding quality inspection parameter sequence, before verifying whether each quality inspection parameter meets the requirements, the textiles that have been missed can be screened out and classified, which can effectively improve the accuracy of the subsequent verification of each quality inspection parameter of the textile, and at the same time provide data support for missed detection for the analysis of the overall inspection status of subsequent quality inspectors, thereby improving the diversity of monitoring and analysis of textile inspection data.

[0059] The shipment data inspection and analysis module is used to verify and count the quality inspection items corresponding to all valid inspection textiles according to the shipment statistical processing data, and obtain the inspection and analysis information; including:

[0060] Compare and judge the values ​​of several elements in the quality inspection parameter sequence corresponding to all valid inspection textiles sorted in the shipment statistical processing data with the corresponding standard inspection thresholds in turn;

[0061] If the element value is different from the corresponding standard inspection threshold, an abnormal element label is generated, and the quality inspection item of the corresponding element and the associated quality inspector are marked as abnormal quality inspection item and abnormal quality inspector respectively according to the abnormal element label;

[0062] It should be noted that several standard inspection thresholds are determined according to the quality inspection requirement data corresponding to the existing quality inspection items; in addition, in the embodiment of the present invention, the comparison and judgment are implemented based on the standard inspection threshold, and the standard inspection ranges corresponding to several quality inspection items can also be obtained according to the actual application scenario for comparison and judgment;

[0063] Perform abnormal verification on abnormal quality inspection items and obtain abnormal verification results; including:

[0064] The textiles corresponding to the abnormal quality inspection items shall be re-inspected by a third quality inspector; the third quality inspector may be the person in charge of the corresponding abnormal quality inspection items;

[0065] If the re-inspection result is abnormal, the abnormal quality inspection by the abnormal quality inspector is determined to be valid and a first abnormal inspection label is generated;

[0066] If the re-inspection result is normal, the abnormal quality inspection by the abnormal quality inspector is determined to be invalid and a second abnormal inspection label is generated;

[0067] The first anomaly inspection label or the second anomaly inspection label constitutes an anomaly verification result;

[0068] It should be explained that the purpose of implementing abnormal verification on abnormal quality inspection items here is to determine whether the abnormal quality inspection results of the corresponding abnormal quality inspectors are valid, which can not only improve the accuracy of the corresponding abnormal quality inspection items, but also provide data support for abnormal verification for the analysis of the overall inspection status of subsequent quality inspectors;

[0069] If the element value is the same as the corresponding standard inspection threshold, a normal element label is generated;

[0070] The abnormal element labels or normal element labels corresponding to several elements in the quality inspection parameter sequence and the abnormal verification results constitute the local quality inspection analysis data;

[0071] When the corresponding textile is classified according to the local quality inspection and analysis data, the local quality inspection and analysis data is traversed, and if there is no abnormal element label, a qualified signal is generated and the corresponding textile is marked as a qualified textile;

[0072] If there is an abnormal element label, a non-conforming signal is generated and the corresponding textile is marked as a non-conforming textile;

[0073] The local quality inspection and analysis data corresponding to all validly inspected textiles and the marked qualified textiles or unqualified textiles constitute the inspection and analysis information and are uploaded to the inspection platform;

[0074] In the embodiment of the present invention, all quality inspection items that are manually inspected and counted are automatically verified for their conformity, so that problems with different quality inspection items corresponding to different textiles can be obtained efficiently and quickly. By re-inspecting the quality inspection items with abnormalities to determine whether the abnormalities are valid, statistics can be collected on the abnormal error inspections of the corresponding quality inspectors, which can provide reliable inspection data support for subsequent production management of textiles and inspection management of quality inspectors.

[0075] The shipment inspection data management module is used to conduct an overall evaluation of the production of all textiles corresponding to the same production batch and the inspection of quality inspectors based on the inspection analysis information, and dynamically manage the subsequent production of textiles and the inspection of quality inspectors based on the evaluation results; including:

[0076] Counting the total number of all textiles that are produced in the same batch and undergo quality inspection, and traversing the inspection and analysis information to count the total number of all qualified textiles, calculating the ratio of the total number of all qualified textiles to the total number of all textiles and setting it as a first ratio;

[0077] And, counting the total number of all invalid inspection textiles and setting it as the first abnormal total number, traversing all local quality inspection and analysis data in the inspection and analysis information to count the total number of occurrences of the second abnormal inspection tag and setting it as the second abnormal total number, summing the first abnormal total number and the second abnormal total number, and calculating the ratio of the summed value to the total number of all textiles and setting it as the second ratio;

[0078] Analyze and evaluate the overall quality status of the textiles of the same production batch and the overall inspection status of the quality inspectors according to the first ratio and the second ratio respectively;

[0079] The first ratio and the second ratio are compared with the corresponding first threshold and second threshold respectively; the first threshold and the second threshold are determined according to the existing big data of qualified production requirements for textile products and the big data of inspection requirements of quality inspectors;

[0080] If the first ratio is greater than a first threshold and the second ratio is less than a second threshold, generating a quality pass signal and an inspection pass signal;

[0081] If the first ratio is not greater than a first threshold and the second ratio is not less than a second threshold, generating a quality failure signal and an inspection failure signal;

[0082] A quality qualified signal or a quality unqualified signal, an inspection qualified signal or an inspection unqualified signal constitutes the evaluation result;

[0083] When dynamically managing the subsequent production of textiles and the inspection of quality inspectors according to the evaluation results, the evaluation results are traversed, and the production management of textiles of subsequent production batches and the management of quality inspectors are strengthened respectively according to the unqualified quality signals and unqualified inspection signals obtained through the traversal;

[0084] Among them, strengthening the production management of subsequent production batches of textiles can optimize and upgrade the production links or production materials; strengthening the management of quality inspectors can provide targeted training for different quality inspectors.

[0085] Different from the existing technical solutions which simply compare different quality inspection items of textiles and display the comparison results, but do not expand and mine the comparison results, in the embodiments of the present invention, the quality inspection data of different aspects of textiles are expanded and mined to comprehensively evaluate the production of all textiles and the inspection of quality inspectors, and the subsequent production of textiles and the inspection of quality inspectors are dynamically managed according to the evaluation results, which can achieve the optimization of subsequent textile production and the optimization of quality inspectors' inspection, and improve the overall effect of expanding and mining textile inspection data.

[0086] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0087] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0088] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0090] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A textile shipment inspection system, characterized in that: It includes shipment data statistics processing module, shipment data inspection and analysis module, inspection platform and shipment inspection data management module; The shipping data statistics processing module is used to count the different quality inspection parameters and the corresponding quality inspection personnel when the textiles are shipped, and to pre-process the statistical data to obtain the shipping statistical processing data corresponding to different textiles; including: All textiles corresponding to the same production batch to be shipped are numbered and marked; several quality inspection parameters corresponding to different textiles and the corresponding numbers of responsible quality inspectors are obtained in sequence according to the numbering order, the values ​​of several quality inspection parameters are extracted and associated with the corresponding numbers of responsible quality inspectors, all the quality inspection parameters associated with the quality inspector numbers are arranged and combined in the order of inspection to obtain a quality inspection parameter subsequence corresponding to the textiles, the total number of all elements in the quality inspection parameter subsequence is counted and the values ​​are set as identification elements, and the identification elements are sorted and combined with the quality inspection parameter subsequence to obtain a quality inspection parameter sequence; The quality inspection parameter sequence corresponding to all serially numbered textiles constitutes the shipment statistics; When verifying the validity of the shipping statistics data, all quality inspection parameter sequences in the shipping statistics data are traversed in numerical order to obtain the corresponding identification elements, and the identification elements are compared with the preset standard identification to determine whether the textile products are effectively inspected or invalidly inspected, including: Extract the value of the identification element and compare it with the preset standard identification value. If they are the same, the corresponding quality inspection parameter sequence is determined to be valid and a valid inspection label is generated. According to the valid inspection label, the corresponding textile is marked as a valid inspection textile; If they are not the same, the corresponding quality inspection parameter sequence is determined to be invalid and an invalid inspection label is generated, and the corresponding textile is marked as an invalid inspection textile according to the invalid inspection label; Count all invalid inspected textiles and re-inspect them through quality inspection process and quality inspectors and make new quality inspection parameter statistics; All valid inspection labels and valid inspection textiles and the corresponding quality inspection parameter sequences constitute the shipment statistical processing data and are uploaded to the inspection platform; The shipment data inspection and analysis module is used to verify and count the quality inspection items corresponding to all valid inspection textiles according to the shipment statistical processing data, and obtain inspection and analysis information; The shipment inspection data management module is used to conduct an overall assessment of the production of all textiles corresponding to the same production batch and the inspection of quality inspectors based on the inspection analysis information, and to dynamically manage the subsequent production of textiles and the inspection of quality inspectors based on the assessment results; the dynamic management includes the production management of textiles for subsequent production batches and the management of quality inspectors, among which the production management of textiles for subsequent production batches is to optimize and upgrade the production links or production materials, and the management of quality inspectors is to provide targeted and enhanced training for different quality inspectors.

2. A textile shipment inspection system according to claim 1, characterized in that: The working steps of the shipment data inspection and analysis module include: Compare and judge the values ​​of several elements in the quality inspection parameter sequence corresponding to all valid inspection textiles sorted in the shipment statistical processing data with the corresponding standard inspection thresholds in turn; If the element value is different from the corresponding standard inspection threshold, an abnormal element label is generated, and the quality inspection item of the corresponding element and the associated quality inspector are marked as abnormal quality inspection item and abnormal quality inspector respectively according to the abnormal element label; Carry out abnormal verification on abnormal quality inspection items and obtain abnormal verification results; If the element value is the same as the corresponding standard inspection threshold, a normal element label is generated; Abnormal element labels or normal element labels corresponding to several elements in the quality inspection parameter sequence and abnormal verification results constitute local quality inspection analysis data.

3. A textile shipment inspection system according to claim 2, characterized in that: When classifying the corresponding textiles according to the local quality inspection and analysis data, traversing the local quality inspection and analysis data; If there is no abnormal element label, a qualified signal is generated and the corresponding textile is marked as a qualified textile; If there is an abnormal element label, a non-conforming signal is generated and the corresponding textile is marked as a non-conforming textile; The local quality inspection and analysis data corresponding to all validly inspected textiles and the marked qualified textiles or unqualified textiles constitute the inspection and analysis information and are uploaded to the inspection platform.

4. A textile shipment inspection system according to claim 3, characterized in that: The steps to obtain abnormal verification results include: The textiles corresponding to the abnormal quality inspection items shall be re-inspected by a third quality inspector; If the re-inspection result is abnormal, the abnormal quality inspection by the abnormal quality inspector is determined to be valid and a first abnormal inspection label is generated; If the re-inspection result is normal, the abnormal quality inspection by the abnormal quality inspector is determined to be invalid and a second abnormal inspection label is generated; The first anomaly check label or the second anomaly check label constitutes an anomaly verification result.

5. A textile shipment inspection system according to claim 4, characterized in that: Counting the total number of all textiles that are produced in the same batch and undergo quality inspection, and traversing the inspection and analysis information to count the total number of all qualified textiles, calculating the ratio of the total number of all qualified textiles to the total number of all textiles and setting it as a first ratio; And, counting the total number of all invalid inspection textiles and setting it as the first abnormal total number, traversing all local quality inspection and analysis data in the inspection and analysis information to count the total number of occurrences of the second abnormal inspection tag and setting it as the second abnormal total number, summing the first abnormal total number and the second abnormal total number, and calculating the ratio of the summed value to the total number of all textiles and setting it as the second ratio; The overall quality status of the textiles of the same production batch and the overall inspection status of the quality inspectors are analyzed and evaluated according to the first ratio and the second ratio to obtain an evaluation result.

6. A textile shipment inspection system according to claim 5, characterized in that: comparing the first ratio and the second ratio with the corresponding first threshold and second threshold respectively; If the first ratio is greater than a first threshold and the second ratio is less than a second threshold, generating a quality pass signal and an inspection pass signal; If the first ratio is not greater than a first threshold and the second ratio is not less than a second threshold, generating a quality failure signal and an inspection failure signal; The quality passing signal or the quality failing signal, the inspection passing signal or the inspection failing signal constitute the evaluation result.

7. A textile shipment inspection system according to claim 6, characterized in that: When dynamically managing the subsequent production of textiles and the inspection of quality inspectors based on the evaluation results, the evaluation results are traversed, and the production management of textiles and the management of quality inspectors for subsequent production batches are strengthened based on the unqualified quality signals and unqualified inspection signals obtained through the traversal.

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