Processing tracking and detecting method of optical lens

Abstract

The invention discloses a processing tracking and detection method for an optical lens, and the method comprises the steps: collecting defective lens images through an image sensor, analyzing the number of historical defective lenses and the deviation degree of the lenses, and obtaining a tracking demand value; comparing the tracking demand value with a tracking demand threshold value, generating a tracking signal, and judging a tracking mode; based on the tracking signal, dividing the tracking step into a plurality of sub-steps, and analyzing the number of lenses having historical problems in the sub-steps to obtain a deviation rule value; comparing the obtained deviation rule value with a deviation rule threshold value, and determining a tracking mode of the tracking step according to a comparison result; analyzing the definition parameter and the resolution parameter of the processed optical lens to obtain a lens qualified value; comparing the lens qualified value with a lens qualified threshold value, and analyzing whether the lens is qualified or not; the lens machining precision and efficiency are improved, the process scheme can be optimized, and the product quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical lens processing, and in particular to a processing tracking and detection method for an optical lens. Background Art

[0002] As an important part of the optical system, the processing accuracy and surface quality of the optical lens have an important impact on the performance of the optical system. How to achieve accurate tracking and detection of the optical lens processing process is becoming increasingly important. The existing tracking methods are divided into active tracking and passive tracking. Active tracking has high reliability, but its tracking accuracy is relatively low, and it is suitable for occasions where the processing accuracy requirements are not high. Passive tracking has high tracking accuracy and can achieve accurate control of the processing process, but its system complexity is high and the cost is relatively high. The existing technology lacks an optical lens processing tracking and detection technology that takes into account both tracking accuracy and cost.

[0003] The present invention analyzes the number of unqualified lenses appearing in different processing steps during the historical processing process, determines the processing steps with a high frequency of unqualified lenses appearing, and accurately tracks such processing steps, thereby improving the tracking efficiency; the present invention divides the processing steps with a high frequency of unqualified lenses appearing into different areas, analyzes the areas where unqualified lenses appear, accurately tracks the areas with a high frequency of unqualified lenses appearing, further improves the tracking efficiency, and more reasonably allocates resources. Summary of the invention

[0004] The object of the present invention is to provide a processing tracking and detection method for an optical lens to solve at least one of the above-mentioned problems in the prior art.

[0005] In a first aspect, the present invention provides a method for tracking and detecting processing of an optical lens, comprising the following steps:

[0006] Step 1: Use image sensors to collect lens images in the optical lens processing process, count the number of lenses with historical problems, analyze the degree of deviation of lenses with historical problems, perform data processing, and obtain tracking demand values;

[0007] Step 2: Compare the tracking requirement value with the tracking requirement threshold, and determine whether the step needs to be tracked based on the comparison result. If so, generate a tracking signal;

[0008] Step 3: Based on the tracking signal, the tracking step is divided into several sub-steps, and the presence of historical problem lenses and the number of historical problem lenses in each sub-step are analyzed, and data processing is performed to obtain the deviation value;

[0009] Step 4: Compare the deviation value with the deviation threshold, determine the tracking method for the tracking step according to the comparison result, and track the optical lens processing until the processing is completed;

[0010] Step 5: Analyze the clarity parameters and resolution parameters of the processed optical lens to obtain a lens qualification value; compare the lens qualification value with the lens qualification threshold value. If the lens qualification value is greater than or equal to the lens qualification threshold value, the lens is qualified.

[0011] A second aspect: The present invention provides a processing tracking and detection system for an optical lens, comprising the following steps:

[0012] Tracking parameter acquisition module: collects lens images in the optical lens processing process through image sensors, counts the number of lenses with historical problems, analyzes the degree of deviation of lenses with historical problems, performs data processing, and obtains tracking demand values;

[0013] Tracking parameter analysis module: compares the tracking requirement value with the tracking requirement threshold, and determines whether the step needs to be tracked based on the comparison result. If so, generates a tracking signal;

[0014] Deviation parameter acquisition module: Based on the tracking signal, the tracking step is divided into several sub-steps, and the presence of historical problem lenses and the number of historical problem lenses in each sub-step are analyzed, and data processing is performed to obtain the deviation regularity value;

[0015] Deviation parameter analysis module: compares the deviation rule value with the deviation rule threshold, determines the tracking method for the tracking step according to the comparison result, and tracks the optical lens processing until the processing is completed;

[0016] Quality inspection module: Analyze the clarity parameters and resolution parameters of the processed optical lens to obtain the lens qualification value; compare the lens qualification value with the lens qualification threshold. If the lens qualification value is greater than or equal to the lens qualification threshold, the lens is qualified.

[0017] Beneficial effects of the present invention:

[0018] 1. Through the historical optical lens processing process, analyze the processing steps in which unqualified lenses appear, obtain the processing steps with high frequency of unqualified lenses, and accurately track these processing steps; effectively improve the efficiency of optical lens processing tracking, avoid the waste of resources caused by excessive use of optical lens processing equipment, and reduce the cost of optical lens processing tracking.

[0019] 2. By analyzing the number of unqualified lenses in a certain step of optical lens processing, dividing the processing steps into areas, analyzing the number of unqualified lenses in each area, and accurately tracking areas with high frequency of unqualified lenses, the efficiency of processing tracking is further improved, the cost of processing tracking is reduced, and each step is ensured to be accurately tracked, reducing omissions and errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0021] Figure 1 This is a flowchart of the steps of obtaining a tracking requirement value of a processing tracking method for an optical lens provided in the first embodiment of the present invention;

[0022] Figure 2 This is a flowchart of the steps of obtaining a deviation regularity value of a processing tracking method for an optical lens provided in the second embodiment of the present invention;

[0023] Figure 3 This is a flowchart of the steps of obtaining a lens qualified value in a method for detecting an optical lens provided by Embodiment 3 of the present invention;

[0024] Figure 4 It is a module diagram of a processing tracking and detection system for an optical lens provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0026] Embodiment 1

[0027] Figure 1The flowchart of a processing tracking method of an optical lens provided in the first embodiment of the present invention is applicable to the case of optical lens processing tracking. The processing tracking method of an optical lens can be executed by a processing tracking system of an optical lens. The processing tracking system of an optical lens can be implemented by software and hardware. The processing tracking system of an optical lens can be configured in a processing tracking device. Optionally, the processing tracking device can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc., and the embodiment of the present invention does not limit this.

[0028] like Figure 1 As shown, an optical lens processing tracking method provided by an embodiment of the present invention specifically includes the following steps:

[0029] Step 1: Use image sensors to collect images of problematic lenses in all steps of the lens processing process, count the number of historical problematic lenses, analyze the degree of deviation of historical problematic lenses, perform data processing, and obtain tracking demand values;

[0030] In some embodiments, the image sensor transmits the lens image captured during the lens processing process to the data processing unit, and the data processing unit pre-processes and analyzes the collected image to extract key information, including but not limited to the number of problematic lenses and whether the shape of the lens meets the design requirements. The lens shape design requirements include but are not limited to the length, width, thickness, etc. of the lens. If any one of the length, width, thickness, etc. of the lens does not meet the requirements, then the shape of the lens does not meet the design requirements.

[0031] It should be noted that the historical problem lens of all steps refers to the lens shape after a certain processing step in the lens processing process does not meet the design requirements of the lens shape after completing the step;

[0032] In the historical monitoring cycle, the number of historical problem lenses appearing in all steps is obtained and summed up to obtain the total number of historical problem lenses;

[0033] The number of historical problem lenses appearing in a single step is compared with the total number of historical problem lenses to obtain the deviation ratio, which is marked as SL;

[0034] Analyze the degree of deviation of historical problem lenses based on any lens processing step;

[0035] Obtain the length, width, and thickness of the lens that appeared during the processing steps;

[0036] In some embodiments, a high-resolution camera and an image recognition algorithm are used to take a picture of the lens and extract shape information from the image; image processing techniques such as edge detection and contour extraction are used to accurately measure and compare the shape of the lens to obtain shape information such as the length, width, and thickness of the lens;

[0037] In the historical monitoring cycle, the length, width and thickness of the lens of the processing step are obtained; by analyzing the length, width and thickness of the lens, it is determined whether the lens has shape deviation, and if so, the lens with shape deviation is marked as a historical problem lens;

[0038] In some embodiments, an image of the lens is captured by a high-resolution camera or image sensor, and the outline of the lens is extracted using image processing technology to measure its length, width, and thickness;

[0039] Specifically, the absolute value of the difference between the length of the lens and the standard length of the lens is taken, and the difference is processed by ratio with the standard length of the lens to obtain the length difference ratio;

[0040] Obtain the width difference ratio in the same way as obtaining the length difference ratio;

[0041] Obtain the edge thickness and center thickness of the historical problem lens, perform subtraction processing on the edge thickness and the standard edge thickness to obtain the edge thickness difference; perform subtraction processing on the center thickness and the edge thickness to obtain the center-edge thickness difference;

[0042] The thickness difference at the edge is summed with the thickness difference at the middle edge to obtain the thickness difference ratio;

[0043] The length difference ratio and the width difference ratio are summed to obtain the length-width difference ratio; the length-width difference ratio and the thickness difference ratio are multiplied to obtain the shape deviation value;

[0044] Compare the shape deviation value with the shape deviation threshold, and mark the historical problem lens whose shape deviation value is greater than the shape deviation threshold as a loss lens; count the number of loss lenses, and perform ratio processing on the number of loss lenses and the number of historical problem lenses to obtain a lens loss ratio, which is marked as SH;

[0045] The obtained deviation number ratio SL and lens loss ratio SH are processed and the formula is used Obtain the tracking demand value XQ; where s1 and s2 are preset proportional coefficients;

[0046] It should be noted that the larger the tracking requirement value is, the more problem lenses and loss lenses there are in this step;

[0047] Step 2: Compare the tracking requirement value with the tracking requirement threshold, and determine whether the step needs to be tracked based on the comparison result. If so, generate a tracking signal;

[0048] The tracking requirement value is compared with the tracking requirement threshold value. The comparison process is as follows:

[0049] If the tracking requirement value is greater than or equal to the tracking requirement threshold, a tracking signal is generated and the corresponding step is marked as a tracking step;

[0050] If the tracking requirement value is less than the tracking requirement threshold, a non-tracking signal is generated and the corresponding step is marked as a non-tracking step;

[0051] Based on the non-tracking signal, the step is continuously monitored;

[0052] Based on the tracking signal, the number of historical problem lenses in the tracking step is analyzed to determine the tracking method;

[0053] The technical solution of the embodiment of the present invention is: using an image sensor to collect images of problem lenses in all steps of the lens processing flow, counting the number of historical problem lenses, analyzing the degree of deviation of historical problem lenses, performing data processing, and obtaining a tracking requirement value; comparing the obtained tracking requirement value with a tracking requirement threshold, and judging whether the corresponding step needs to be processed and tracked based on the comparison result; the present invention analyzes the tracking requirements of lens processing steps, tracks the steps with tracking requirements, improves tracking efficiency, and can promptly discover and resolve potential problems by accurately tracking key steps in the project, thereby reducing the risk of processing failure.

[0054] Embodiment 2

[0055] like Figure 2 As shown, an optical lens processing tracking method provided by an embodiment of the present invention specifically includes the following steps:

[0056] Step 3: Based on the tracking signal, the tracking step is divided into several sub-steps, and the presence of historical problem lenses and the number of historical problem lenses in each sub-step are analyzed, and data processing is performed to obtain the deviation value;

[0057] Divide the tracking step into several sub-steps; analyze the number of sub-steps in which historical problem lenses appear in all sub-steps;

[0058] Specifically, based on the tracking signal, in the historical monitoring cycle, all sub-steps are analyzed to see whether the historical problem lens appears, and the sub-steps in which the historical problem lens appears in all sub-steps are marked as deviation sub-steps;

[0059] Count the number of deviated sub-steps in all sub-steps, and perform a ratio process on the number of deviated sub-steps and the total number of sub-steps to obtain the deviation ratio, which is marked as PL.

[0060] Analyze the number of historical problem lenses that appear in the deviation sub-step;

[0061] Specifically, the number of historical problem lenses that appear in all deviation sub-steps is obtained;

[0062] The number of lenses with historical problems in the deviation sub-step is marked as T;

[0063] Sort all deviation sub-steps according to the number of lenses with historical problems from small to large, and get a sequence of historical problem numbers, marked as {T1, T2, T3, ..., T n};

[0064] It should be noted that the historical problem number sequence {T1, T2, T3, ..., T n}, T1 is the minimum value, T n is the maximum value, where n represents the number of deviation sub-steps;

[0065] Process the historical problem quantity sequence and analyze the fluctuation of the historical problem lens quantity that occurs in the deviation sub-step;

[0066] The variance formula is used to calculate the number of historical problems {T1, T2, T3, ..., T n}, the obtained sequence variance is processed by ratio with the sequence variance threshold to obtain the sequence volatility ratio, which is marked as BD;

[0067] The obtained deviation proportion PL and sequence fluctuation ratio BD are processed by data, and the formula is used Obtain the deviation value GL, where s1 and s2 are preset proportional coefficients;

[0068] It should be noted that the larger the deviation value is from the rule, the larger the historical problem number sequence {T1, T2, T3, …, T n}T1, T2, T3, ..., T n The closer the value is, the higher the proportion of deviating sub-steps in all sub-steps;

[0069] Step 4: Compare the deviation value with the deviation threshold, determine the tracking method for the tracking step according to the comparison result, and track the optical lens processing until the processing is completed;

[0070] The deviation value is compared with the deviation threshold, and the comparison results are as follows:

[0071] If the deviation value is greater than or equal to the deviation threshold, a step-entire-process tracking signal is generated; based on the step-entire-process tracking signal, a tracking method for processing and tracking the entire process of the tracking step is adopted;

[0072] If the deviation value is less than the deviation threshold, a step partial tracking signal is generated; based on the step partial tracking signal, the number of historical problem lenses of the deviation sub-step in the tracking step is analyzed, and the deviation sub-step with a large number of historical problem lenses is tracked;

[0073] Specifically, based on the number of historical problem lenses, the deviated sub-steps that need to be tracked are screened out;

[0074] A tracking method of comparing the number of historical problem lenses of a deviation sub-step with a threshold number of historical problem lenses, and tracking the deviation sub-step whose number of historical problem lenses is greater than the threshold number of historical problem lenses;

[0075] The technical solution of the embodiment of the present invention is: based on the tracking signal, the tracking step is divided into several sub-steps, and whether the historical problem lens appears in each sub-step and the number of historical problem lenses are analyzed, and data analysis is performed to obtain the deviation value; the obtained deviation value is compared with the deviation threshold, and the tracking method for the tracking step is determined according to the comparison result; the present invention further analyzes the steps with tracking requirements to improve the accuracy of processing tracking, which can ensure that each step is accurately tracked and reduce omissions and errors; it is beneficial to significantly improve the tracking efficiency; accurate tracking of processing steps is beneficial to reasonable allocation of resources and improve tracking efficiency and quality.

[0076] Example 3

[0077] like Figure 3 As shown, an optical lens detection method provided by an embodiment of the present invention specifically includes the following steps:

[0078] Step 5: Analyze the clarity parameters and resolution parameters of the processed optical lens to obtain a lens qualified value; compare the lens qualified value with the lens qualified threshold value, if the lens qualified value is greater than or equal to the lens qualified threshold value, the lens is qualified;

[0079] Get the clarity parameter of the optical lens, marked as QX;

[0080] In some embodiments, an optical system including a lens is constructed and a test target is used for imaging, and the resolution of details in the image, especially the sharpness of the edges, is observed and recorded; the clearer the details in the image and the sharper the edges, the higher the clarity of the lens; finally, an image quality evaluation algorithm is used to quantify the clarity;

[0081] Get the resolution parameter of the optical lens, marked as FB;

[0082] In some embodiments, a test target with a fine pattern is used, such as a discrimination plate or a star point plate; the clearest imaging position is found by adjusting the distance and focal length between the lens and the target; the minimum resolvable line spacing is observed and recorded, and the number of lines per millimeter is calculated to obtain the resolution parameter;

[0083] The obtained clarity parameter QX and resolution parameter FB are processed and the formula is used Obtain the lens qualified value HG; wherein s1 and s2 are preset proportional coefficients;

[0084] Compare the obtained lens qualification value with the lens qualification threshold value;

[0085] If the lens qualified value is greater than or equal to the lens qualified threshold, the lens is qualified;

[0086] If the lens qualified value is less than the lens qualified threshold, the lens is unqualified;

[0087] The technical solution of the embodiment of the present invention is: analyzing the clarity parameter and resolution parameter of the optical lens to obtain the lens qualification value; comparing the lens qualification value with the lens qualification threshold, if the lens qualification value is greater than or equal to the lens qualification threshold, the lens is qualified; the present invention can accurately evaluate the imaging performance of the lens through precise operation and rigorous analysis, and provide strong support for product improvement, quality control and product selection.

[0088] Example 4

[0089] like Figure 4 As shown, an optical lens processing tracking and detection system provided by an embodiment of the present invention specifically includes the following steps:

[0090] Tracking parameter acquisition module: collects lens images in the optical lens processing process through image sensors, counts the number of lenses with historical problems, analyzes the degree of deviation of lenses with historical problems, performs data processing, and obtains tracking demand values;

[0091] Tracking parameter analysis module: compares the tracking requirement value with the tracking requirement threshold, and determines whether the step needs to be tracked based on the comparison result. If so, generates a tracking signal;

[0092] Deviation parameter acquisition module: Based on the tracking signal, the tracking step is divided into several sub-steps, and the presence of historical problem lenses and the number of historical problem lenses in each sub-step are analyzed, and data processing is performed to obtain the deviation regularity value;

[0093] Deviation parameter analysis module: compares the deviation rule value with the deviation rule threshold, determines the tracking method for the tracking step according to the comparison result, and tracks the optical lens processing until the processing is completed;

[0094] Quality inspection module: Analyze the clarity parameters and resolution parameters of the processed optical lens to obtain the lens qualification value; compare the lens qualification value with the lens qualification threshold. If the lens qualification value is greater than or equal to the lens qualification threshold, the lens is qualified.

[0095] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A processing tracking and detection method for an optical lens, characterized in that: The following steps are involved: Step 1: Use image sensors to collect lens images in the optical lens processing process, count the number of lenses with historical problems, analyze the degree of deviation of lenses with historical problems, perform data processing, and obtain tracking demand values; Step 2: Compare the tracking requirement value with the tracking requirement threshold, and determine whether the step needs to be tracked based on the comparison result. If so, generate a tracking signal; Step 3: Based on the tracking signal, the tracking step is divided into several sub-steps, and the presence of historical problem lenses and the number of historical problem lenses in each sub-step are analyzed, and data processing is performed to obtain the deviation value; Step 4: Compare the deviation value with the deviation threshold, determine the tracking method for the tracking step according to the comparison result, and track the optical lens processing until the processing is completed; Step 5: Analyze the clarity parameters and resolution parameters of the processed optical lens to obtain a lens qualification value; compare the lens qualification value with the lens qualification threshold value. If the lens qualification value is greater than or equal to the lens qualification threshold value, the lens is qualified.

2. The processing tracking and detection method of an optical lens according to claim 1, characterized in that: The tracking requirement value is obtained in the following manner: The number of lenses with historical problems that appeared in a single step and the total number of lenses with historical problems are processed to obtain the deviation number ratio SL; the number of loss lenses is analyzed to obtain the lens loss ratio SH; The obtained deviation number ratio SL and lens loss ratio SH are processed and the formula is used The tracking demand value XQ is obtained; wherein s1 and s2 are preset proportional coefficients.

3. The processing tracking and detection method of an optical lens according to claim 2, characterized in that: The deviation quantity ratio is obtained as follows: Obtain the number of historical problem lenses that appear in all steps, and sum them up to obtain the total number of historical problem lenses; The number of historical problem lenses appearing in a single step is ratioed to the total number of historical problem lenses to obtain the deviation number ratio, which is marked as SL.

4. The processing tracking and detection method of an optical lens according to claim 2, characterized in that: The lens loss ratio is obtained as follows: The length, width and thickness of the historical problem lens are analyzed to obtain the shape deviation value; comparing the shape deviation value with a shape deviation threshold, and marking the historical problem lens in which the shape deviation value is greater than the shape deviation threshold as a loss lens; The number of lost lenses is counted, and the ratio of the number of lost lenses to the number of lenses with historical problems is processed to obtain the lens loss ratio, which is marked as SH.

5. The processing tracking and detection method of an optical lens according to claim 4, characterized in that: The shape deviation value is obtained as follows: Based on any lens processing step; By analyzing the length, width and thickness of the lens, it is determined whether the lens has shape deviation. If so, the lens with shape deviation is a historical problem lens; Specifically, the absolute value of the difference between the length of the lens and the standard length of the lens is taken, and the difference is processed by ratio with the standard length of the lens to obtain the length difference ratio; Obtain the width difference ratio in the same way as obtaining the length difference ratio; Obtain the edge thickness and center thickness of the historical problem lens, perform subtraction processing on the edge thickness and the standard edge thickness to obtain the edge thickness difference; perform subtraction processing on the center thickness and the edge thickness to obtain the center-edge thickness difference; The thickness difference at the edge is summed with the thickness difference at the middle edge to obtain the thickness difference ratio; The length difference ratio and the width difference ratio are summed to obtain the length-width difference ratio; the length-width difference ratio and the thickness difference ratio are multiplied to obtain the shape deviation value.

6. The processing tracking and detection method of an optical lens according to claim 1, characterized in that: The method for obtaining the deviation value is as follows: Divide the tracking step into several sub-steps; analyze the number of sub-steps with historical problem lenses in all sub-steps to obtain the deviation ratio PL; analyze the number of historical problem lenses in the deviation sub-steps to obtain the sequence fluctuation ratio BD; The obtained deviation proportion PL and sequence fluctuation ratio BD are processed by data, and the formula is used The deviation value GL is obtained, where s1 and s2 are preset proportional coefficients.

7. The processing tracking and detection method of an optical lens according to claim 6, characterized in that: The deviation ratio is obtained as follows: Divide the tracking step into several sub-steps; analyze the number of sub-steps in which historical problem lenses appear in all sub-steps; Specifically, based on the tracking signal, in the historical monitoring cycle, all sub-steps are analyzed to see whether there are problem lenses, and the sub-steps in which the historical problem lenses appear in all sub-steps are marked as deviation sub-steps; Count the number of deviated sub-steps in all sub-steps, and perform a ratio processing on the number of deviated sub-steps and the total number of sub-steps to obtain the deviation ratio, which is marked as PL.

8. The processing tracking and detection method of an optical lens according to claim 6, characterized in that: The sequence fluctuation ratio is obtained as follows: Get the number of historical problem lenses that appear in all deviation sub-steps; The number of lenses with historical problems in the deviation sub-step is marked as T; Sort all deviation sub-steps according to the number of lenses with historical problems from small to large, and get a sequence of historical problem numbers, marked as {T1, T2, T3, ..., T n }; Process the historical problem quantity sequence and analyze the fluctuation of the historical problem lens quantity that occurs in the deviation sub-step; The variance formula is used to calculate the number of historical problems {T1, T2, T3, ..., T n }, and the obtained sequence variance is ratioed with the sequence variance threshold to obtain the sequence volatility ratio, which is marked as BD.

9. The processing tracking and detection method of an optical lens according to claim 1, characterized in that: The process of determining the tracking method for the tracking step according to the comparison result is: The deviation value is compared with the deviation threshold. The comparison process is as follows: If the deviation value is greater than or equal to the deviation threshold, a step-wide tracking signal is generated; Based on the tracking signal of the whole process of the step, a tracking method of processing and tracking the whole process of the tracking step is adopted; If the deviation from the rule value is less than the deviation from the rule threshold, a step partial tracking signal is generated; Based on the partial tracking signal of the step, the number of historical problem lenses of the deviated sub-steps in the tracking step is analyzed, and the deviated sub-steps with a large number of historical problem lenses are tracked; Specifically, based on the number of historical problem lenses, the deviated sub-steps that need to be tracked are screened out; The tracking method compares the number of historical problem lenses of the deviation sub-step with the historical problem lens number threshold, and tracks the deviation sub-step whose historical problem lens number is greater than the historical problem lens number threshold.

10. The processing tracking and detection method of an optical lens according to claim 1, characterized in that: The method for obtaining the lens qualified value is as follows: Get the clarity parameter of the optical lens, marked as QX; Get the resolution parameter of the optical lens, marked as FB; The obtained clarity parameter QX and resolution parameter FB are processed and the formula is used The lens qualified value HG is obtained; wherein s1 and s2 are preset proportional coefficients.

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