Product laser coding detection system and method

Abstract

The present invention relates to the field of laser coding, and in particular to a product laser coding detection system and method. The detection system comprises a tracking monitoring determination module, a target product marking module, an abnormal index analysis module, a reallocation verification module and a real-time output module; the tracking monitoring determination module is used to track and monitor products whose comprehensive scores reach or exceed preset standards in their respective application environments; the target product marking module is used to mark the products to be tracked and monitored as target products, and the abnormal index analysis module is used to analyze the abnormal indexes of the same type of products recorded under the same target environment; the reallocation verification module is used to return to the laser coding stage to reallocate and verify the weight data corresponding to the correction environment; and the real-time output module is used to output the products corresponding to the laser codes that pass the environmental adaptability test items as qualified products when the verified indicators are met.

Description

Technical Field

[0001] The present invention relates to the technical field of laser coding, and in particular to a product laser coding detection system and method. Background Art

[0002] Laser coding technology is one of the largest application areas of laser processing. Specifically, laser coding is a method of marking and coding that uses high-energy-density lasers to partially irradiate the workpiece, causing the surface material to vaporize or undergo a chemical reaction that changes color, thereby leaving a permanent mark. Laser coding can be used to code various texts, symbols, and patterns, and the character size can range from light meters to micrometers.

[0003] At present, laser coding and identification technology has been widely used in various industries, such as manufacturing: used for identification and traceability of parts to improve production efficiency and product quality; food supervision: directly printing DPM codes on food packaging or raw materials to achieve food safety traceability, etc. Therefore, for the laser codes generated by the same standard, there will be differences in the readability and durability characteristics that can be reflected in different actual application environments. There will also be some environmental reasons in the actual use scenario, which will inevitably reduce the accuracy of the laser code corresponding to the initial environmental adaptability test item when it is judged as qualified; thus bringing negative impacts on the readability or durability of the laser code in actual environmental applications. Summary of the invention

[0004] The object of the present invention is to provide a product laser coding detection system and method to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a product laser coding detection method, comprising the following analysis steps:

[0006] Step S100: Bind and mark the product type and product application environment after laser coding, extract the scoring data and weight data recorded during the laser coding stage for each type of product; comprehensively score each type of product based on the scoring data and weight data, and track and monitor the products whose comprehensive scores reach or exceed the preset standards in their respective application environments;

[0007] Step S200: Mark the product to be tracked and monitored as the target product, extract the application environment of the target product and record the scoring data, the project environment that is the same as the environmental adaptability test project is the target environment, and analyze the abnormal index of the same type of product recorded in the same target environment;

[0008] Step S300: setting an abnormal index threshold, extracting target products corresponding to abnormal indexes greater than the abnormal index threshold as correction products and target environments as correction environments, returning to the laser coding stage to reallocate and verify the weight data corresponding to the correction environment;

[0009] Step S400: store the weight data and scoring data corresponding to the successful verification test, and use the weight data and scoring data as indicators for the same type of products to output qualified results in the project environment of the environmental adaptability test project; extract the indicators after verification corresponding to products of the same type and the same application environment when performing laser coding verification on the product in real time, and output the product corresponding to the laser code that passed the environmental adaptability test project as a qualified product when the indicators after verification are met.

[0010] Further, the abnormal index of the same type of products recorded in the target environment is analyzed, including the following specific steps:

[0011] Step S210: extracting qualified conditions of the environmental adaptability test items in the corresponding target environment, where the qualified conditions refer to the data conditions when the target product of the laser coding application meets the readability or durability of the laser code in the corresponding application environment; when the laser code in the target product does not meet the readability or durability under the corresponding data conditions, the target product corresponding to the laser code is output to be abnormal;

[0012] Step S220: Mark the product type corresponding to the target product with abnormal laser code output, extract the number of times D1 of the same type of product being output as abnormal in the same target environment and the total number of applications D0 of the same type of product history records; the number of applications refers to the number of times the target product with the laser code generated is put into the actual application environment; use the formula: G=D1 / D0 to calculate the environmental change ratio G of the target product in the same target environment;

[0013] Step S230: Obtain the average value of the abnormal index G0 of the same target product under different target environments, and the product change ratio E of the target product under the same target environment, E=e1 / e2, where e1 represents the number of times the target product is output as abnormal under the same target environment, and e2 represents the total number of times each type of target product is recorded under the same target environment; using the formula: I=k1×[(G-G0) / G0]+k2×E;

[0014] Calculate the abnormal index I of the target product in the corresponding target environment, where k1 and k2 represent the corresponding reference coefficients respectively.

[0015] The larger the abnormality index is, the lower the accuracy of the target product in the environmental adaptability test project under the corresponding target environment is in the output of the qualified product after scoring in the same project environment.

[0016] Furthermore, returning to the laser coding stage to redistribute and verify the weight data corresponding to the correction environment includes the following steps:

[0017] Step S310: Obtain the project environment of the corrected product in the environmental adaptability test project that is the same as the correction environment, adjust the weight data recorded in the correction environment to Fc, where F is the initial weight set when the corresponding project environment is initially tested, c is the value of the adjusted weight, and c is a positive integer greater than zero; and correspondingly increase and adjust the weight data of other project environments in the environmental adaptability test project excluding the correction environment, so that the sum of the corresponding weight data of all project environments is 100%;

[0018] Step S320: The scoring data corresponding to other project environments remain unchanged, and the scoring value Q of the comprehensive score reaching the preset standard is obtained; using the formula:

[0019] Q = ∑[(Fc) × Z1] + ∑[f × Z2];

[0020] Solve the score data Z1 corresponding to the project environment with weight data adjusted to Fc, where f represents the adjusted weight data of other project environments in the environmental adaptability test project excluding the correction environment, and Z2 represents the minimum score data of other project environments that meet their respective qualified conditions;

[0021] Step S330: Based on the scoring data Z1, the abnormality index I0 calculated by the corrected product corresponding to the corrective environment test item of the scoring data Z1 in the subsequent actual application environment is monitored for verification and detection. If I0 is less than the abnormality index threshold, the verification and detection result is output as successful; if I0 is greater than or equal to the abnormality index threshold, the verification and detection failure is output; when I0 is less than the abnormality index threshold, it means that the score requirement for the product to pass the test is improved by reducing the weight ratio, so that the durability and readability of the generated code of the laser coding of the product in the corresponding environment in actual application are relatively stable and normal, which also means that the accuracy of the corresponding environmental adaptability test is higher;

[0022] Step S340: When the transmission verification test fails, return to step S310 and readjust the weight data of the correction environment record to Fn×c, where n is a positive integer greater than or equal to 2, and n is adjusted from 2 and increases by 1 each time it returns; after adjustment, execute steps S320 to S330 until I0 is less than the abnormal index threshold and the output verification test result is successful.

[0023] Furthermore, the weight data of other project environments in the environmental adaptability test project excluding the correction environment are increased and adjusted accordingly, including the following specific steps:

[0024] Step S311: Obtain the number M of correction environments that need to adjust weight data and the sum of the values ​​of the adjustment weights ∑c, and calculate the average adjustment weight c0, c0=(1 / M)∑c;

[0025] Step S312: extracting the score data V of other project environments except the correction environment in different target products, and calculating the discrete index L of the score data;

[0026] L={[∑(V-V0) 2 ] / N} 1 / 2 ;

[0027] Where V0 represents the average value of the scoring data recorded in different target products in other project environments, and N represents the total number of target products recorded in the same project environment;

[0028] Step S313: Sort the other project environments from small to large according to the corresponding discrete indexes to generate a first sequence, select the first M project environments in the first sequence to increase the average adjustment weight c0, and adjust it to F+c0.

[0029] The purpose of adjusting the added weights is to make the sum of the overall weights equal to 100%, reducing the impact of the added weights on the evaluation of the durability and readability of the laser coding itself.

[0030] A product laser coding detection system, the detection system includes a tracking monitoring determination module, a target product marking module, an abnormal index analysis module, a reallocation verification module and a real-time output module;

[0031] The tracking and monitoring determination module is used to comprehensively score various types of products based on the scoring data and weight data and to track and monitor the products whose comprehensive scores reach or exceed the preset standards in their respective application environments;

[0032] The target product marking module is used to mark the product to be tracked and monitored as a target product;

[0033] The abnormal index analysis module is used to analyze the abnormal index of the same type of products recorded in the same target environment;

[0034] The redistribution verification module is used to set the abnormal index threshold, extract the target product corresponding to the abnormal index greater than the abnormal index threshold as the correction product and the target environment as the correction environment, and return to the laser coding stage to redistribute the weight data corresponding to the correction environment and verify the detection;

[0035] The real-time output module is used to extract the indicators after verification corresponding to the products of the same type and the same application environment when verifying whether the products are qualified by laser coding in real time. When the indicators after verification are met, the products corresponding to the laser codes that pass the environmental adaptability test items are output as qualified products.

[0036] Further, the abnormality index analysis module includes a target product abnormality judgment unit, an environment abnormality ratio calculation unit, a product abnormality ratio calculation unit and an abnormality index calculation unit;

[0037] The target product abnormality judgment unit is used to output that the target product corresponding to the laser code is abnormal when the laser code in the target product does not meet the readability or durability under the corresponding data conditions;

[0038] The environmental variation ratio calculation unit is used to calculate the environmental variation ratio of the target product under the same target environment;

[0039] The product variation ratio calculation unit is used to calculate the product variation ratio of the target product under the same target environment;

[0040] The abnormality index calculation unit is used to calculate the abnormality index by comprehensively considering the environmental abnormality ratio and the product abnormality ratio.

[0041] Further, the redistribution verification module includes a weight reduction unit, a weight increase unit, a scoring data solving unit and a cyclic verification result output unit;

[0042] The weight reduction unit is used to obtain the project environment of the correction product in the environmental adaptability test project that is the same as the correction environment, and adjust and reduce the weight data recorded in the correction environment;

[0043] The weight increasing unit is used to increase and adjust the weight data of other project environments in the environmental adaptability test project except the correction environment accordingly;

[0044] The scoring data solving unit is used to solve the scoring data corresponding to the project environment in which the weight data is adjusted and reduced;

[0045] The cyclic verification result output unit is used to monitor the scoring data, analyze the real-time anomaly index to determine whether the verification monitoring is successful. If unsuccessful, it returns to adjust the weight data reduction degree until the real-time anomaly index is less than the anomaly index threshold and the verification detection result is output successfully.

[0046] Further, the weight increasing unit includes an average adjustment weight calculation unit, a discrete index calculation unit and a ranking selection unit;

[0047] The average adjustment weight calculation unit is used to calculate the average adjustment weight;

[0048] The discrete index calculation unit is used to extract the score data of other project environments except the correction environment in different target products, and calculate the discrete index of the score data;

[0049] The sorting and selecting unit is used to sort other project environments from small to large according to the size of the corresponding discrete index to generate a first sequence, and select the first M project environments in the first sequence to increase the average adjustment weight.

[0050] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention tracks and monitors the laser code-attached products that have passed the initial environmental adaptability test items in actual application scenarios, and evaluates whether there are abnormalities in the laser code in actual applications from the perspectives of readability and durability; for the laser codes with abnormalities, the environmental adaptability test is returned to adjust the evaluation criteria to reduce the negative impact of the output laser code-attached products in subsequent actual applications; in addition, when adjusting the test items with reduced weights, the present application increases the weight ratios of other items accordingly, so that the overall analysis remains at a stable level, and after obtaining valid weight data and scoring data, the readability or durability of the laser code corresponding to the corresponding test item can be quickly judged based on this data in subsequent real-time monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 The present invention is a structural schematic diagram of a product laser coding detection system. DETAILED DESCRIPTION

[0053] 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.

[0054] See also Figure 1 ,The present invention provides a technical solution: a product laser coding detection system, the detection system includes a tracking monitoring determination module, a target product marking module, an abnormal index analysis module, a reallocation verification module and a real-time output module;

[0055] The tracking and monitoring determination module is used to comprehensively score various types of products based on the scoring data and weight data and to track and monitor the products whose comprehensive scores reach or exceed the preset standards in their respective application environments;

[0056] The target product marking module is used to mark the product to be tracked and monitored as a target product;

[0057] The abnormal index analysis module is used to analyze the abnormal index of the same type of products recorded in the same target environment;

[0058] The redistribution verification module is used to set the abnormal index threshold, extract the target product corresponding to the abnormal index greater than the abnormal index threshold as the correction product and the target environment as the correction environment, and return to the laser coding stage to redistribute the weight data corresponding to the correction environment and verify the detection;

[0059] The real-time output module is used to extract the indicators after verification corresponding to the products of the same type and the same application environment when verifying whether the products are qualified by laser coding in real time. When the indicators after verification are met, the products corresponding to the laser codes that pass the environmental adaptability test items are output as qualified products.

[0060] The abnormality index analysis module includes a target product abnormality judgment unit, an environment abnormality ratio calculation unit, a product abnormality ratio calculation unit and an abnormality index calculation unit;

[0061] The target product abnormality judgment unit is used to output that the target product corresponding to the laser code is abnormal when the laser code in the target product does not meet the readability or durability under the corresponding data conditions;

[0062] The environmental variation ratio calculation unit is used to calculate the environmental variation ratio of the target product under the same target environment;

[0063] The product variation ratio calculation unit is used to calculate the product variation ratio of the target product under the same target environment;

[0064] The abnormality index calculation unit is used to calculate the abnormality index by comprehensively considering the environmental abnormality ratio and the product abnormality ratio.

[0065] The redistribution verification module includes a weight reduction unit, a weight increase unit, a scoring data solving unit and a cyclic verification result output unit;

[0066] The weight reduction unit is used to obtain the project environment of the correction product in the environmental adaptability test project that is the same as the correction environment, and adjust and reduce the weight data recorded in the correction environment;

[0067] The weight increasing unit is used to increase and adjust the weight data of other project environments in the environmental adaptability test project except the correction environment accordingly;

[0068] The scoring data solving unit is used to solve the scoring data corresponding to the project environment in which the weight data is adjusted and reduced;

[0069] The cyclic verification result output unit is used to monitor the scoring data, analyze the real-time anomaly index to determine whether the verification monitoring is successful. If unsuccessful, it returns to adjust the weight data reduction degree until the real-time anomaly index is less than the anomaly index threshold and the verification detection result is output successfully.

[0070] The weight increasing unit includes an average adjustment weight calculation unit, a discrete index calculation unit and a ranking selection unit;

[0071] The average adjustment weight calculation unit is used to calculate the average adjustment weight;

[0072] The discrete index calculation unit is used to extract the score data of other project environments except the correction environment in different target products, and calculate the discrete index of the score data;

[0073] The sorting and selecting unit is used to sort other project environments from small to large according to the size of the corresponding discrete index to generate a first sequence, and select the first M project environments in the first sequence to increase the average adjustment weight.

[0074] A product laser coding detection method includes the following analysis steps:

[0075] Step S100: Bind and mark the product type and product application environment after laser coding, extract the scoring data and weight data recorded during the laser coding stage for each type of product; comprehensively score each type of product based on the scoring data and weight data, and track and monitor the products whose comprehensive scores reach or exceed the preset standards in their respective application environments;

[0076] As shown in the embodiment, the above comprehensive score is based on the environmental adaptability test items of the product of laser coding such as DPM code, and the test items include light adaptability items, temperature and humidity adaptability items, chemical solvent and corrosive environment adaptability items, etc.;

[0077] Each test item is scored according to the scoring criteria of the corresponding item, with a score range of 0-100; the purpose of scoring is to measure the readability and durability of the code generated by the laser coding;

[0078] The weights are assigned based on the number of included test items, with the total being 100%;

[0079] Finally, based on the weighted output comprehensive score, if the preset standard is set to 80 points, the code generated by the laser coding is qualified in the corresponding product application environment when the output is greater than 80 points.

[0080] Step S200: Mark the product to be tracked and monitored as the target product, extract the application environment of the target product and record the scoring data, the project environment that is the same as the environmental adaptability test project is the target environment, and analyze the abnormal index of the same type of product recorded in the same target environment;

[0081] Step S300: setting an abnormal index threshold, extracting target products corresponding to abnormal indexes greater than the abnormal index threshold as correction products and target environments as correction environments, returning to the laser coding stage to reallocate and verify the weight data corresponding to the correction environment;

[0082] Step S400: store the weight data and scoring data corresponding to the successful verification test, and use the weight data and scoring data as indicators for the same type of products to output qualified results in the project environment of the environmental adaptability test project; extract the indicators after verification corresponding to products of the same type and the same application environment when performing laser coding verification on the product in real time, and output the product corresponding to the laser code that passed the environmental adaptability test project as a qualified product when the indicators after verification are met.

[0083] Analyze the abnormal index of the same type of products in the target environment, including the following specific steps:

[0084] Step S210: extracting qualified conditions of the environmental adaptability test items in the corresponding target environment, where the qualified conditions refer to the data conditions when the target product of the laser coding application meets the readability or durability of the laser code in the corresponding application environment; when the laser code in the target product does not meet the readability or durability under the corresponding data conditions, the target product corresponding to the laser code is output to be abnormal;

[0085] As shown in the embodiment: when abnormal, the record does not meet the readability or durability qualification conditions when performing environmental adaptability test items; for example, when performing high temperature test items, readability and durability are considered, and when readability and durability are met, the corresponding product qualification condition is that the temperature is 60 degrees Celsius, that is, when the high temperature reaches a maximum of 60 degrees Celsius, the laser code on the current laser coding product can be used;

[0086] Step S220: Mark the product type corresponding to the target product with abnormal laser code output, extract the number of times D1 of the same type of product being output as abnormal in the same target environment and the total number of applications D0 of the same type of product history records; the number of applications refers to the number of times the target product with the laser code generated is put into the actual application environment; use the formula: G=D1 / D0 to calculate the environmental change ratio G of the target product in the same target environment;

[0087] Step S230: Obtain the average value of the abnormal index G0 of the same target product under different target environments, and the product change ratio E of the target product under the same target environment, E=e1 / e2, where e1 represents the number of times the target product is output as abnormal under the same target environment, and e2 represents the total number of times each type of target product is recorded under the same target environment; using the formula: I=k1×[(G-G0) / G0]+k2×E;

[0088] Calculate the abnormal index I of the target product in the corresponding target environment, where k1 and k2 represent the corresponding reference coefficients respectively.

[0089] The larger the abnormality index is, the lower the accuracy of the target product in the environmental adaptability test project under the corresponding target environment is in the output of the qualified product after scoring in the same project environment.

[0090] Return to the laser coding stage to redistribute and verify the weight data corresponding to the correction environment, including the following steps:

[0091] Step S310: Obtain the project environment of the corrected product in the environmental adaptability test project that is the same as the correction environment, and adjust the weight data recorded in the correction environment to Fc, where F is the initial weight set when the corresponding project environment is initially tested, and c is the value of the adjusted weight, and c is a positive integer greater than zero; generally, the value of c is set based on the system [1,5]; the weight data of other project environments in the environmental adaptability test project excluding the correction environment are correspondingly increased and adjusted, so that the sum of the corresponding weight data of all project environments is 100%;

[0092] Step S320: The scoring data corresponding to other project environments remain unchanged, and the scoring value Q of the comprehensive score reaching the preset standard is obtained; using the formula:

[0093] Q = ∑[(Fc) × Z1] + ∑[f × Z2];

[0094] Solve the score data Z1 corresponding to the project environment with weight data adjusted to Fc, where f represents the adjusted weight data of other project environments in the environmental adaptability test project excluding the correction environment, and Z2 represents the minimum score data of other project environments that meet their respective qualified conditions;

[0095] Step S330: Based on the scoring data Z1, the abnormality index I0 calculated by the corrected product corresponding to the corrective environment test item of the scoring data Z1 in the subsequent actual application environment is monitored for verification and detection. If I0 is less than the abnormality index threshold, the verification and detection result is output as successful; if I0 is greater than or equal to the abnormality index threshold, the verification and detection failure is output; when I0 is less than the abnormality index threshold, it means that the score requirement for the product to pass the test is improved by reducing the weight ratio, so that the durability and readability of the generated code of the laser coding of the product in the corresponding environment in actual application are relatively stable and normal, which also means that the accuracy of the corresponding environmental adaptability test is higher;

[0096] Step S340: When the transmission verification test fails, return to step S310 and readjust the weight data of the correction environment record to Fn×c, where n is a positive integer greater than or equal to 2, and n is adjusted from 2 and increases by 1 each time it returns; after adjustment, execute steps S320 to S330 until I0 is less than the abnormal index threshold and the output verification test result is successful.

[0097] The weight data of other project environments in the environmental adaptability test items excluding the correction environment are increased and adjusted accordingly, including the following specific steps:

[0098] Step S311: Obtain the number M of correction environments that need to adjust weight data and the sum of the values ​​of the adjustment weights ∑c, and calculate the average adjustment weight c0, c0=(1 / M)∑c;

[0099] Step S312: extracting the score data V of other project environments except the correction environment in different target products, and calculating the discrete index L of the score data;

[0100] L={[∑(V-V0) 2 ] / N} 1 / 2 ;

[0101] Where V0 represents the average value of the scoring data recorded in different target products in other project environments, and N represents the total number of target products recorded in the same project environment;

[0102] Step S313: Sort the other project environments from small to large according to the corresponding discrete indexes to generate a first sequence, select the first M project environments in the first sequence to increase the average adjustment weight c0, and adjust it to F+c0.

[0103] The purpose of adjusting the added weights is to make the sum of the overall weights equal to 100%, reducing the impact of the added weights on the evaluation of the durability and readability of the laser coding itself.

[0104] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0105] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A product laser coding detection method, characterized in that: The analysis steps include: Step S100: Bind and mark the product type and product application environment after laser coding, extract the scoring data and weight data recorded during the laser coding stage for each type of product; comprehensively score each type of product based on the scoring data and weight data, and track and monitor the products whose comprehensive scores reach or exceed the preset standards in their respective application environments; Step S200: Mark the product to be tracked and monitored as the target product, extract the application environment of the target product and record the scoring data, the project environment that is the same as the environmental adaptability test project is the target environment, and analyze the abnormal index of the same type of product recorded in the same target environment; The analysis of the abnormal index of the same type of products recorded in the same target environment includes the following specific steps: Step S210: extracting qualified conditions of the environmental adaptability test items in the corresponding target environment, wherein the qualified conditions refer to data conditions when the target product of the laser coding application meets the readability or durability of the laser code in the corresponding application environment; when the laser code in the target product does not meet the readability or durability under the corresponding data conditions, outputting that the target product corresponding to the laser code is abnormal; Step S220: Mark the product type corresponding to the target product with abnormal laser code output, extract the number of times D1 of the same type of product being output as abnormal in the same target environment and the total number of applications D0 of the same type of product history records; the number of applications refers to the number of times the target product with the laser code generated is put into the actual application environment; use the formula: G=D1 / D0 to calculate the environmental change ratio G of the target product in the same target environment; Step S230: Obtain the average value G0 of the abnormal index of the same target product in different target environments, and the product change ratio E of the target product in the same target environment, E=e1 / e2, where e1 represents the number of times the target product is output as abnormal in the same target environment, and e2 represents the total number of times each type of target product is recorded in the same target environment; using the formula: I=k1×[(G-G0) / G0]+k2×E; Calculate the abnormal index I of the target product in the corresponding target environment, where k1 and k2 represent the corresponding reference coefficients respectively; Step S300: setting an abnormal index threshold, extracting target products corresponding to abnormal indexes greater than the abnormal index threshold as correction products and target environments as correction environments, returning to the laser coding stage to reallocate and verify the weight data corresponding to the correction environment; The return to laser coding stage to redistribute and verify the weight data corresponding to the correction environment includes the following steps: Step S310: Obtain the project environment of the corrected product in the environmental adaptability test project that is the same as the correction environment, adjust the weight data recorded in the correction environment to Fc, where F is the initial weight set when the corresponding project environment is initially tested, c is the value of the adjusted weight, and c is a positive integer greater than zero; and correspondingly increase and adjust the weight data of other project environments in the environmental adaptability test project excluding the correction environment, so that the sum of the corresponding weight data of all project environments is 100%; Step S320: The scoring data corresponding to other project environments remain unchanged, and the scoring value Q of the comprehensive score reaching the preset standard is obtained; using the formula: Q = ∑[(Fc) × Z1] + ∑[f × Z2]; Solve the score data Z1 corresponding to the project environment with weight data adjusted to Fc, where f represents the adjusted weight data of other project environments in the environmental adaptability test project excluding the correction environment, and Z2 represents the minimum score data of other project environments that meet their respective qualified conditions; Step S330: Based on the scoring data Z1, the abnormality index I0 calculated by the correction product of the correction environment test item corresponding to the scoring data Z1 in the subsequent actual application environment is monitored for verification and detection. If I0 is less than the abnormality index threshold, the verification and detection result is output as successful; if I0 is greater than or equal to the abnormality index threshold, the verification and detection result is output as failed; Step S340: When the transmission verification test fails, return to step S310, re-adjust the weight data of the correction environment record to Fn×c, where n is a positive integer greater than or equal to 2, and n is adjusted from 2 and increases by 1 each time it is returned; after adjustment, execute steps S320 to S330 until I0 is less than the abnormal index threshold and the verification test result is output successfully; The weight data of other project environments in the environmental adaptability test project excluding the correction environment are increased and adjusted accordingly, including the following specific steps: Step S311: Obtain the number M of correction environments that need to adjust weight data and the sum of the values ​​of the adjustment weights ∑c, and calculate the average adjustment weight c0, c0=(1 / M)∑c; Step S312: extracting the score data V of other project environments except the correction environment in different target products, and calculating the discrete index L of the score data; L={[∑(V-V0) 2 ] / N} 1 / 2 ; Where V0 represents the average value of the scoring data recorded in different target products in other project environments, and N represents the total number of target products recorded in the same project environment; Step S313: sorting the other project environments from small to large according to the corresponding discrete indexes to generate a first sequence, selecting the first M project environments in the first sequence to increase the average adjustment weight c0 to F+c0; Step S400: store the weight data and scoring data corresponding to the successful verification test, and use the weight data and scoring data as indicators for the same type of products to output qualified results in the project environment of the environmental adaptability test project; extract the indicators after verification corresponding to products of the same type and the same application environment when performing laser coding verification on the product in real time, and output the product corresponding to the laser code that passed the environmental adaptability test project as a qualified product when the indicators after verification are met.

2. A product laser coding detection system, such as using a product laser coding detection method as claimed in claim 1, characterized in that: The detection system includes a tracking monitoring determination module, a target product marking module, an abnormal index analysis module, a reallocation verification module and a real-time output module; The tracking and monitoring determination module is used to comprehensively score each type of product based on the scoring data and the weight data and to track and monitor the products whose comprehensive scores reach or exceed the preset standards in their respective application environments; The target product marking module is used to mark the product to be tracked and monitored as a target product. The abnormal index analysis module is used to analyze the abnormal index of the same type of products recorded in the same target environment; The reallocation verification module is used to set an abnormal index threshold, extract the target product corresponding to the abnormal index greater than the abnormal index threshold as the correction product and the target environment as the correction environment, and return to the laser coding stage to redistribute and verify the weight data corresponding to the correction environment; The real-time output module is used to extract the indicators after verification corresponding to the products of the same type and the same application environment when verifying whether the products are qualified by laser coding in real time, and output the products corresponding to the laser codes that pass the environmental adaptability test items as qualified products when the indicators after verification are met.

3. A product laser coding detection system according to claim 2, characterized in that: The abnormality index analysis module includes a target product abnormality judgment unit, an environment abnormality ratio calculation unit, a product abnormality ratio calculation unit and an abnormality index calculation unit; The target product abnormality judgment unit is used to output that the target product corresponding to the laser code is abnormal when the laser code in the target product does not meet the readability or durability under the corresponding data conditions; The environmental variation ratio calculation unit is used to calculate the environmental variation ratio of the target product under the same target environment; The product change ratio calculation unit is used to calculate the product change ratio of the target product under the same target environment; The abnormality index calculation unit is used to calculate the abnormality index by comprehensively considering the environmental abnormality ratio and the product abnormality ratio.

4. A product laser coding detection system according to claim 3, characterized in that: The reallocation verification module includes a weight reduction unit, a weight increase unit, a scoring data solving unit and a cyclic verification result output unit; The weight reduction unit is used to obtain the project environment of the correction product in the environmental adaptability test project that is the same as the correction environment, and adjust and reduce the weight data recorded in the correction environment; The weight increasing unit is used to increase and adjust the weight data of other project environments in the environmental adaptability test project except the correction environment accordingly; The scoring data solving unit is used to solve the scoring data corresponding to the project environment with reduced weight data adjustment; The cyclic verification result output unit is used to monitor the scoring data, analyze the real-time anomaly index to determine whether the verification monitoring is successful. If unsuccessful, it returns to adjust the degree of reduction of the weight data until the real-time anomaly index is less than the anomaly index threshold and outputs the verification detection result successfully.

5. A product laser coding detection system according to claim 4, characterized in that: The weight increasing unit includes an average adjustment weight calculation unit, a discrete index calculation unit and a sorting selection unit; The average adjustment weight calculation unit is used to calculate the average adjustment weight; The discrete index calculation unit is used to extract the score data of other project environments except the correction environment in different target products, and calculate the discrete index of the score data; The sorting and selecting unit is used to sort other project environments from small to large according to the size of the corresponding discrete index to generate a first sequence, and select the first M project environments in the first sequence to increase the average adjustment weight.

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