Vacuum filling and sealing production tracing system

Abstract

The invention relates to the technical field of low-pressure vacuum filling and sealing, and discloses a vacuum filling and sealing production tracing system, which is characterized in that a laser technology is used in vacuum filling and sealing production to print special IDs on upper and lower mold steel parts, a silica gel mold core is bound with the upper mold steel part during assembly, a product SN is bound with an upper mold ID when a product enters a mold, and the upper and lower mold steel parts are bound with the IDs during mold closing; a full-automatic large-view-field camera is used for capturing an upper mold ID of a mold and making the upper mold ID correspond to glue injection carrier plate IDs, a glue injection position is reserved for each glue injection carrier plate, a corresponding glue valve is prepared, after the glue injection carrier plates enter a glue injection cavity, a panoramic camera is used for automatically capturing carrier plate IDs, and according to vacuum encapsulation production process data, a full-automatic large-view-field camera is used for capturing the upper mold ID of the mold and making the upper mold ID correspond to the glue injection carrier plate IDs. A production data acquisition module, a production data analysis module, a production quality evaluation module and a production abnormity early warning module are established, and a system capable of evaluating the quality condition of a product, timely early warning and determining a problem source is obtained, so that the problems of low tracing efficiency and high labor cost of an existing low-pressure vacuum encapsulation technology are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of low - voltage vacuum potting, and specifically provides a vacuum potting production traceability system. Background Art

[0002] In the current technical field of low - voltage vacuum potting, its production process involves multiple key links and a complex equipment system. Specifically, the mold part includes upper and lower die steel parts and mold cores, which play a crucial role in forming accuracy and product quality. In terms of equipment, it includes CGplasma cleaning equipment to ensure the cleanliness of the mold surface; the product - into - mold link requires precise operation to ensure the accurate placement of the product; the injection - glue carrier plate is responsible for carrying and positioning the product for injection - glue operation; the injection - glue valve precisely controls the injection volume and injection position of the glue; at the same time, the precise control of the injection - glue time and injection - glue pressure curve is also a key factor in ensuring product quality, and the module SN is one of the important identifiers for realizing full - process traceability. The entire production process forms a seemingly complete full - process traceability system application system.

[0003] However, there are some defects in the existing traceability system. During the actual production process, it is difficult to quickly and accurately trace the production yield status and quality status of each mold core, upper and lower die steel parts, injection - glue carrier plate, and injection - glue valve. When product quality problems or equipment abnormal fluctuations occur, due to the lack of effective traceability means, the source of the problem cannot be determined in time, resulting in low traceability efficiency for products, molds, and equipment. To find the root cause of the problem, a large amount of manpower is often required for manual investigation, which not only consumes a lot of time and energy, increases production costs, but also the accuracy of manual investigation is easily affected by human factors and is difficult to meet the management requirements of modern high - efficiency and precision production. Therefore, how to improve and perfect the existing vacuum potting production traceability system, improve traceability efficiency, and reduce labor costs has become an urgent technical problem to be solved. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a vacuum potting production traceability system, which has the advantages of high traceability efficiency for products, molds, and equipment, and low investigation cost, and solves the problems of low traceability efficiency and high labor cost in the existing low - voltage vacuum potting technology.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: A vacuum potting production traceability system. The vacuum potting production uses laser technology to mark special IDs on the upper and lower die steel parts. When the silicone mold core is assembled, it is bound to the upper die steel part. When the product enters the mold, the product SN is bound to the upper die ID. When the mold is closed, the upper and lower die steel part IDs are bound. A fully automatic large-field camera is used to capture the upper die ID of the mold and correspond it to the ID of the injection plate. Each injection plate reserves an injection position and a corresponding glue valve is prepared. After the injection plate enters the injection cavity, a panoramic camera is used to automatically capture the ID of the plate.

[0008] Preferably, the system consists of a production data collection module, a production data analysis module, a production quality assessment module, and a production anomaly warning module.

[0009] Preferably, the production data collection module includes a production process data collection unit, an equipment status data collection unit, and a quality inspection data collection unit. The production process data collection unit collects production process data by connecting to monitoring equipment and a fully automatic large-field camera through a network; the equipment status data collection unit collects equipment status data by connecting to an equipment online display instrument through a network, and the ID binding data collection unit collects ID binding data by connecting to a bar code scanner and a fully automatic large-field camera through a network.

[0010] Preferably, the production process data collection unit numbers the number of times of registering the error status of semi-finished products, the number of times of registering all statuses, and the integrity of traceability information in the production process according to the characteristics of the production process data. The number of times of registering the error status of semi-finished products in the production process is numbered as X1, X2, X3,... X n , the number of times of registering all statuses of semi-finished products in the production process is numbered as Y1, Y2, Y3,... Y n , the integrity of traceability information of semi-finished products in the production process is numbered as W1, W2, W3,... W n .

[0011] Preferably, the equipment status data collection unit numbers the number of times of recording complete traceability data of production equipment, the total number of data records, the number of successful troubleshooting times, and the total number of troubleshooting times according to the characteristics of the equipment status data. The number of times of recording complete traceability data of production equipment, the total number of data records, the number of successful troubleshooting times, and the total number of troubleshooting times are numbered as m1, m, k1, k respectively. The ID binding data collection unit numbers the actual position of ID binding according to the characteristics of the ID binding data. The actual position of ID binding is numbered as (o, p, q).

[0012] Preferably, the production data analysis module includes a production traceability analysis unit, a system troubleshooting analysis unit, and an ID binding deviation analysis unit.

[0013] Preferably, the production traceability analysis unit calculates the production data traceability accuracy rate Zs according to the production process data, and its calculation formula is:

[0014]

[0015] In the formula, Zs represents the production data traceability accuracy rate, X1, X2, X3, … X n represents the number of times of error status registration of semi-finished products in the production process, Y1, Y2, Y3, … Y n represents the number of times of all status registrations of semi-finished products in the production process, W1, W2, W3, … W n represents the integrity of the traceability information of semi-finished products in the production process, X i represents the number of times of error status registration of semi-finished products in the i-th production process, Y i represents the number of times of all status registrations of semi-finished products in the i-th production process, W i represents the integrity of the traceability information of semi-finished products in the i-th production process, T1, T2, T3, … T n represents the production time weight corresponding to the semi-finished products in the production process, T i represents the production time weight corresponding to the semi-finished products in the i-th production process, and n represents the total number of production processes;

[0016] The production quality evaluation module evaluates the quality problems of semi-finished products in the production process according to the production data traceability accuracy rate Zs;

[0017] The production anomaly warning module performs anomaly warning and problem positioning on the semi-finished products in the problem status in the production process according to the evaluation results.

[0018] Preferably, the system troubleshooting analysis unit calculates the system comprehensive troubleshooting index Vr according to the production data traceability accuracy rate Zs and the equipment status data, and its calculation formula is:

[0019]

[0020] In the formula, Vr represents the system comprehensive troubleshooting index, Zs represents the production data traceability accuracy rate, m1, m, k1, and k respectively represent the number of complete data records of production equipment traceability, the total number of data records, the number of successful troubleshooting times, and the total number of troubleshooting times, represents the production equipment traceability data integrity index, represents the system equipment efficiency index, and α, β, and γ respectively represent the weights of the production data traceability accuracy rate, the production equipment traceability data integrity index, and the system equipment efficiency index in the comprehensive troubleshooting index, and α + β + γ = 1;

[0021] The production quality evaluation module evaluates the stability of the production process according to the system comprehensive troubleshooting index Vr;

[0022] The production anomaly warning module determines whether to give a warning prompt according to the magnitude of the system comprehensive inspection index Vr.

[0023] Preferably, the ID binding deviation analysis unit calculates the ID binding deviation index Ge based on the ID binding data, and its calculation formula is:

[0024]

[0025] In the formula, Ge represents the ID binding deviation index, (o, p, q) represents the actual position of the ID binding, and (o1, p1, q1) represents the preset position of the ID binding;

[0026] The production quality assessment module evaluates the ID binding quality during the production process according to the ID binding deviation index Ge;

[0027] The production anomaly warning module sets a preset threshold according to the evaluation result to conduct anomaly warning.

[0028] Preferably, a vacuum potting production traceability system, and the working process of the system is as follows:

[0029] Step 1, laser marking: Use laser marking technology to mark a special ID on the upper and lower die steel parts;

[0030] Step 2, special ID binding: The silicone mold core is bound to the upper die steel part during assembly;

[0031] Step 3, product into-mold binding: When the product enters the mold, bind the product SN to the upper die ID;

[0032] Step 4, upper and lower die steel part ID binding during mold closing: When the mold is closed, bind the upper and lower die steel part IDs;

[0033] Step 5, glue injection feeding and ID capture: Use a full-automatic large-field camera to capture the upper die ID of the mold, and correspond it to the glue injection carrier board ID. Reserve the glue injection position for each glue injection carrier board, and prepare the corresponding glue valve. After the glue injection carrier board enters the glue injection cavity, use a panoramic camera to automatically capture the carrier board ID;

[0034] Step 6, establish system modules: Based on the above steps, establish a production data collection module, a production data analysis module, a production quality assessment module, and a production anomaly warning module;

[0035] Step 7, production data collection module: Establish three units to collect data;

[0036] Step 8, production data analysis module: Obtain the collected data from the production data collection module, and perform calculations and analysis;

[0037] Step 9, Production Quality Assessment Module: Evaluate the yield and quality status of products based on the calculation results of the Production Data Analysis Module;

[0038] Step 10, Production Abnormality Early Warning Module: Based on the evaluation results of the Production Quality Assessment Module and combined with the abnormal fluctuations monitored in real time during the production process, give early warnings in a timely manner and determine the source of the problem.

[0039] Compared with the prior art, the present invention provides a vacuum potting production traceability system, which has the following beneficial effects:

[0040] 1. The present invention calculates the production data traceability accuracy rate Zs through the Production Traceability Analysis Unit, improves the production traceability efficiency according to the result data analysis, ensures the traceability of each mold core, upper and lower mold steel parts, potting carrier plate and glue valve, and ensures that each link in the production process can be traced and recorded, increasing the transparency of the production process, thereby solving the problem of low traceability efficiency in the existing low-pressure vacuum potting technology.

[0041] 2. The present invention calculates the system comprehensive troubleshooting index Vr through the System Troubleshooting Analysis Unit. The system of the present invention can combine automated data collection and analysis, effectively improving the monitoring efficiency of the production process. During the production process, the Production Quality Assessment Module uses the system comprehensive troubleshooting index Vr to evaluate the stability of the production process, while the Production Abnormality Early Warning Module determines whether to issue a warning prompt according to the size of this index. This method reduces the need for manual intervention from the root cause, thereby reducing labor costs. Therefore, the intelligent automated troubleshooting means of the system not only has low costs, but also can monitor the production process throughout the whole process to ensure that the system can detect and handle potential production problems in a timely manner.

[0042] 3. The present invention evaluates the ID binding quality in the production process through the Production Quality Assessment Module according to the ID binding deviation index Ge, and can ensure that the ID binding in each production link meets the predetermined standards and requirements. When the ID binding deviation index Ge exceeds the preset threshold, it indicates that there may be problems in the production process and further investigation is needed. After determining the abnormality, the Production Abnormality Early Warning Module will automatically trigger the system alarm to notify relevant personnel for inspection and maintenance to prevent potential quality problems and production interruptions. This working mode can ensure the continuity and stability of the production process, thereby improving production efficiency and reducing production costs. Brief Description of the Drawings

[0043] Figure 1 It is the system flow chart of the present invention. Detailed Embodiments

[0044] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0045] Please refer to Figure 1 , a production traceability system for vacuum potting. The vacuum potting production uses laser technology to mark special IDs on the upper and lower die steel parts. When the silicone mold core is assembled, it is bound to the upper die steel part. When the product enters the mold, the product SN is bound to the upper die ID. When the mold is closed, the upper and lower die steel part IDs are bound. A fully automatic large-field camera is used to capture the upper die ID of the mold and correspond it to the ID of the injection carrier plate. Each injection carrier plate is reserved with injection positions (12), and corresponding glue valves (12) are prepared. After the injection carrier plate enters the injection cavity, a panoramic camera is used to automatically capture the carrier plate ID.

[0046] The system consists of a production data collection module, a production data analysis module, a production quality evaluation module, and a production anomaly warning module.

[0047] The production data collection module includes a production process data collection unit, an equipment status data collection unit, and a quality inspection data collection unit. The production process data collection unit collects production process data through a network connection to monitoring devices and fully automatic large-field cameras; the equipment status data collection unit collects equipment status data through a network connection to an equipment online display, and the ID binding data collection unit collects ID binding data through a network connection to a bar code scanner and a fully automatic large-field camera.

[0048] The production process data collection unit numbers the number of times of error status registration, the number of times of all status registrations, and the integrity of traceability information for semi-finished products in the production process (semi-finished products in the production process include mold ID, mold core ID, product SN, injection carrier plate ID, and glue valve) according to the characteristics of the production process data. The number of times of error status registration for semi-finished products in the production process is numbered as X1, X2, X3,... X n , the number of times of all status registrations for semi-finished products in the production process is numbered as Y1, Y2, Y3,... Y n , the integrity of traceability information for semi-finished products in the production process is numbered as W1, W2, W3,... W n .

[0049] The device status data acquisition unit numbers the number of complete data records traced for the production equipment, the total number of data records, the number of successful troubleshooting times, and the total number of troubleshooting times according to the characteristics of the device status data. The number of complete data records traced for the production equipment, the total number of data records, the number of successful troubleshooting times, and the total number of troubleshooting times are numbered as m1, m, k1, and k respectively. The ID binding data acquisition unit numbers the actual position of the ID binding according to the characteristics of the ID binding data, and the actual position number of the ID binding is (o, p, q).

[0050] The production data analysis module includes a production traceability analysis unit, a system troubleshooting analysis unit, and an ID binding deviation analysis unit.

[0051] The production traceability analysis unit calculates the production data traceability accuracy rate Zs based on the production process data. Its calculation formula is:

[0052]

[0053] In the formula, Zs represents the production data traceability accuracy rate, X1, X2, X3, … X n represents the number of times of error status registration of semi-finished products in the production process, Y1, Y2, Y3, … Y n represents the number of times of all status registrations of semi-finished products in the production process, W1, W2, W3, … W n represents the integrity of the traceability information of semi-finished products in the production process, X i represents the number of times of error status registration of semi-finished products in the i-th production process, Y i represents the number of times of all status registrations of semi-finished products in the i-th production process, W i represents the integrity of the traceability information of semi-finished products in the i-th production process, T1, T2, T3, … T n represents the production time weight corresponding to the semi-finished products in the production process, T i represents the production time weight corresponding to the semi-finished products in the i-th production process, and n represents the total number of production processes;

[0054] The production quality assessment module evaluates the quality problems of semi-finished products in the production process according to the production data traceability accuracy rate Zs;

[0055] The production anomaly warning module performs anomaly warning and problem positioning on the semi-finished products in the problem state in the production process according to the evaluation results;

[0056] The advantages are as follows: By calculating the production data traceability accuracy rate Zs through the production traceability analysis unit, improving the production traceability efficiency according to the result data analysis, ensuring the traceability of each mold core, upper and lower mold steel parts, injection glue carrier plate and glue valve, ensuring that each link in the production process can be traced and recorded, increasing the transparency of the production process, and thus solving the problem of low traceability efficiency in the existing low-pressure vacuum encapsulation technology.

[0057] The system troubleshooting analysis unit calculates the system comprehensive troubleshooting index Vr according to the production data traceability accuracy rate Zs and the equipment status data, and its calculation formula is:

[0058]

[0059] In the formula, Vr represents the system comprehensive troubleshooting index, Zs represents the production data traceability accuracy rate, m1, m, k1, and k respectively represent the number of complete data records traced by the production equipment, the total number of data records, the number of successful troubleshooting times, and the total number of troubleshooting times. represents the production equipment traceability data integrity index. represents the system equipment efficiency index, and α, β, and γ respectively represent the weights of the production data traceability accuracy rate, the production equipment traceability data integrity index, and the system equipment efficiency index in the comprehensive troubleshooting index, and α + β + γ = 1;

[0060] The production quality assessment module evaluates the stability of the production process according to the system comprehensive troubleshooting index Vr.

[0061] The production anomaly warning module determines whether to give a warning prompt according to the size of the system comprehensive troubleshooting index Vr.

[0062] The advantages are as follows: By calculating the system comprehensive troubleshooting index Vr through the system troubleshooting analysis unit, the system of the present invention can combine automated data collection and analysis, effectively improve the monitoring efficiency of the production process. During the production process, the production quality assessment module uses the system comprehensive troubleshooting index Vr to evaluate the stability of the production process, while the production anomaly warning module determines whether to issue a warning prompt according to the size of this index. This method reduces the need for manual intervention from the root, thereby reducing labor costs. Therefore, the intelligent automated troubleshooting means of the system not only has low costs but also can monitor the production process throughout to ensure that the system can promptly detect and handle potential production problems.

[0063] The ID binding deviation analysis unit calculates the ID binding deviation index Ge according to the ID binding data, and its calculation formula is:

[0064]

[0065] In the formula, Ge represents the ID binding deviation index, (o, p, q) represents the actual position of ID binding, and (o1, p1, q1) represents the preset position of ID binding;

[0066] The ID binding deviation analysis unit evaluates the deviation of the ID binding position in the production process, so as to adjust the ID binding position to ensure the accuracy of the production process;

[0067] The production anomaly warning module sets a preset threshold according to the evaluation result for anomaly warning;

[0068] The advantages are as follows: Through the production quality evaluation module, according to the ID binding deviation index Ge, the ID binding quality in the production process is evaluated, which can ensure that the ID binding in each production link meets the predetermined standards and requirements. When the ID binding deviation index Ge exceeds the preset threshold, it indicates that there may be problems in the production process and further investigation is needed. After determining the anomaly, the production anomaly warning module will automatically trigger a system alarm to notify relevant personnel for inspection and maintenance to prevent potential quality problems and production interruptions. This working mode can ensure the continuity and stability of the production process, thereby improving production efficiency and reducing production costs.

[0069] 10. A vacuum potting production traceability system according to claim 9, wherein the working process of the system is as follows:

[0070] Step 1: Laser engraving: Use laser engraving technology to mark a special ID on the upper and lower die steel parts to ensure the uniqueness of each die;

[0071] Step 2: Special ID binding: When the silicone mold core is assembled, it is bound to the upper die steel part to ensure the corresponding relationship between the mold core and the mold;

[0072] Step 3: Product in-mold binding: When the product is put into the mold, the product SN is bound to the upper die ID to ensure the relevance between the product and the mold;

[0073] Step 4: ID binding of the upper and lower die steel parts during mold closing: When the mold is closed, the IDs of the upper and lower die steel parts are bound to ensure the integrity of the mold;

[0074] Step 5: Glue injection feeding and ID capture: Use a fully automatic large-field camera to capture the ID of the upper die of the mold and correspond it to the ID of the glue injection carrier plate. Reserve 12 glue injection positions for each glue injection carrier plate and prepare 12 corresponding glue valves. After the glue injection carrier plate enters the glue injection cavity, use a panoramic camera to automatically capture the ID of the carrier plate to ensure the accuracy of the glue injection process;

[0075] Step 6: Establish system modules: Based on the above steps, establish a production data acquisition module, a production data analysis module, a production quality evaluation module, and a production anomaly warning module;

[0076] Step Seven, Production Data Acquisition Module: Establish three units to collect data;

[0077] Step Eight, Production Data Analysis Module: Obtain the collected data from the Production Data Acquisition Module and perform calculations and analysis;

[0078] Step Nine, Production Quality Evaluation Module: Evaluate the yield rate and quality status of the product based on the calculation results of the Production Data Analysis Module;

[0079] Step Ten, Production Anomaly Warning Module: Based on the evaluation results of the Production Quality Evaluation Module and combined with the abnormal fluctuations in the real-time monitoring of the production process, give early warnings in a timely manner and determine the source of the problem.

[0080] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vacuum potting production traceability system, characterized in that, The vacuum potting production uses laser technology to mark special IDs on the upper and lower die steel parts. The silicone mold core is bound to the upper die steel part during assembly. When the product is put into the mold, the product SN is bound to the upper die ID. When the mold is closed, the upper and lower die steel part IDs are bound. An automatic large-field camera is used to capture the upper die ID of the mold and match it with the ID of the injection carrier plate. Each injection carrier plate is reserved with an injection position, and the corresponding glue valve is prepared. After the injection carrier plate enters the injection cavity, a panoramic camera is used to automatically capture the carrier plate ID.

2. The vacuum potting production traceability system according to claim 1, characterized in that: The system consists of a production data acquisition module, a production data analysis module, a production quality assessment module, and a production anomaly warning module.

3. The vacuum potting production traceability system according to claim 2, characterized in that: The production data acquisition module includes a production process data acquisition unit, an equipment status data acquisition unit, and a quality inspection data acquisition unit. The production process data acquisition unit acquires production process data by connecting to monitoring equipment and an automatic large-field camera through a network; the equipment status data acquisition unit acquires equipment status data by connecting to an equipment online display through a network, and the ID binding data acquisition unit acquires ID binding data by connecting to a bar code scanner and an automatic large-field camera through a network.

4. The vacuum potting production traceability system according to claim 3, wherein: The production process data acquisition unit numbers the number of times of registering the error status of semi-finished products, the number of times of registering all statuses, and the integrity of traceability information in the production process according to the characteristics of production process data. The numbers of times of registering the error status of semi-finished products in the production process are X1, X2, X3, …, X n , the numbers of times of registering all statuses of semi-finished products in the production process are Y1, Y2, Y3, …, Y n , and the numbers of the integrity of traceability information of semi-finished products in the production process are W1, W2, W3, …, W n .

5. The vacuum potting production traceability system according to claim 3, characterized in that: The equipment status data acquisition unit numbers the complete data record times, total data record times, successful troubleshooting times, and total troubleshooting times of the production equipment according to the characteristics of the equipment status data. The complete data record times, total data record times, successful troubleshooting times, and total troubleshooting times of the production equipment are numbered as m1, m, k1, and k respectively. The ID binding data acquisition unit numbers the actual position of the ID binding according to the characteristics of the ID binding data, and the actual position of the ID binding is numbered as (o, p, q).

6. The vacuum potting production traceability system according to claim 1, characterized in that: The production data analysis module includes a production traceability analysis unit, a system troubleshooting analysis unit, and an ID binding deviation analysis unit.

7. The vacuum potting production traceability system according to claim 6, wherein: The production traceability analysis unit calculates the production data traceability accuracy rate Zs based on the production process data, and its calculation formula is: In the formula, Zs represents the accuracy rate of production data traceability, X1, X2, X3, …, X n represents the number of times of error status registration of semi-finished products in the production process, Y1, Y2, Y3, …, Y n represents the number of times of all status registrations of semi-finished products in the production process, W1, W2, W3, …, W n represents the integrity of the traceability information of semi-finished products in the production process, X i represents the number of times of error status registration of semi-finished products in the i-th production process, Y i represents the number of times of all status registrations of semi-finished products in the i-th production process, W i represents the integrity of the traceability information of semi-finished products in the i-th production process, T1, T2, T3, …, T n represents the production time weight corresponding to the semi-finished products in the production process, T i represents the production time weight corresponding to the semi-finished products in the i-th production process, and n represents the total number of production processes; The production quality assessment module evaluates the quality problems of semi-finished products in the production process according to the production data traceability accuracy rate Zs; The production anomaly warning module performs anomaly warning and problem location on the semi-finished products in the problem state in the production process according to the evaluation results.

8. The vacuum potting production traceability system according to claim 6, characterized in that: The system troubleshooting analysis unit calculates the system comprehensive troubleshooting index Vr based on the production data traceability accuracy rate Zs and the equipment status data, and its calculation formula is: In the formula, Vr represents the system comprehensive investigation index, Zs represents the production data traceability accuracy rate, m1, m, k1, and k respectively represent the number of complete data records traced by production equipment, the total number of data records, the number of successful investigations, and the total number of investigations. represents the production equipment traceability data integrity index. represents the system equipment efficiency index, and α, β, and γ respectively represent the weights of the production data traceability accuracy rate, the production equipment traceability data integrity index, and the system equipment efficiency index in the comprehensive investigation index, and α + β + γ = 1. The production quality assessment module evaluates the stability of the production process according to the system comprehensive troubleshooting index Vr; The production anomaly warning module determines whether to give a warning prompt according to the size of the system comprehensive troubleshooting index Vr.

9. The vacuum potting production traceability system according to claim 6, characterized in that: The ID binding deviation analysis unit calculates the ID binding deviation index Ge based on the ID binding data, and its calculation formula is: In the formula, Ge represents the ID binding deviation index, (o, p, q) represents the actual position of the ID binding, and (o1, p1, q1) represents the preset position of the ID binding; The production quality assessment module evaluates the ID binding quality in the production process according to the ID binding deviation index Ge; The production anomaly warning module sets a preset threshold according to the evaluation results for anomaly warning.

10. The vacuum potting production traceability system according to claim 9, wherein The working process of the system is as follows: Step 1, Laser engraving: Use laser engraving technology to mark a special ID on the upper and lower die steel parts; Step 2, Special ID binding: The silicone mold core is bound to the upper die steel part during assembly; Step 3, Product into-mold binding: When the product is put into the mold, the product SN is bound to the upper die ID; Step 4, Upper and lower die steel part ID binding during mold closing: When the mold is closed, the upper and lower die steel part IDs are bound; Step 5, Glue injection feeding and ID capture: Use a fully automatic large-field camera to capture the upper die ID of the mold, and correspond it to the glue injection carrier plate ID. Reserve the glue injection positions for each glue injection carrier plate, and prepare the corresponding glue valves. After the glue injection carrier plate enters the glue injection cavity, use a panoramic camera to automatically capture the carrier plate ID; Step 6, Establish system modules: Based on the above steps, establish a production data collection module, a production data analysis module, a production quality assessment module, and a production anomaly warning module; Step 7, Production data collection module: Establish three units to collect data; Step 8, Production data analysis module: Obtain the collected data from the production data collection module and perform calculations and analyses; Step 9, Production quality assessment module: Evaluate the yield and quality status of the product according to the calculation results of the production data analysis module; Step 10, Production anomaly warning module: According to the evaluation results of the production quality assessment module, and combined with the abnormal fluctuations in the real-time monitoring of the production process, give early warnings in a timely manner and determine the source of the problem.

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