Workpiece tracing error-proofing system

Abstract

The invention relates to a workpiece tracing error-proofing system, which is applied to the technical field of workpiece production, and comprises a process determination module used for determining the production process of a workpiece; the two-dimensional code scanning module is used for controlling a stopper and a code reader according to a sensor signal so as to scan a two-dimensional code of a workpiece on the conveying belt and identify workpiece information, and the workpiece information comprises a code scanning record; the error recognition module is used for judging whether an error exists or not based on the production process and the workpiece information to obtain a workpiece recognition result; the alarm module is used for giving an alarm when the workpiece identification result is wrong; the production control module is used for determining production information based on the workpiece recognition result; and the error tracing module is used for identifying the abnormal production information of the abnormal workpiece and the associated workpiece, and determining a detection strategy of the associated workpiece. The method has the effect of improving the workpiece tracing efficiency and reliability.

Description

Technical Field

[0001] The present application relates to the technical field of workpiece production, and in particular to a workpiece tracing and error-proofing system. Background Art

[0002] Traceability during the production process of workpieces is an indispensable and important link in modern manufacturing, aiming to ensure the efficient operation of the production process and the stability and reliability of product quality. By recording and tracking every link in the production process in detail, it can effectively reduce the production of defective products caused by human errors or other factors, and improve the production management level and market competitiveness of enterprises.

[0003] At present, the traceability of workpiece production usually relies on manual scanning for recording. Operators need to manually scan the barcode or QR code on the workpiece at each production process node to record the relevant information of the workpiece production. Although this manual operation method is simple and easy, it has obvious shortcomings in practical applications. First, the efficiency of manual scanning is relatively low. Especially when the production line is fast, it is difficult for operators to complete the scanning work in time, which can easily cause information recording delays or even omissions. Secondly, the reliability of manual operation is poor. When the production process of some workpieces is adjusted, the operator may not be able to make wrong process judgments in time according to the adjusted production process, which affects the accuracy of traceability. Summary of the invention

[0004] In order to improve the efficiency and reliability of workpiece traceability, the present application provides a workpiece traceability error prevention system.

[0005] The present application provides a workpiece traceability and error prevention system, which adopts the following technical solutions: A workpiece traceability and error prevention system, comprising: A process determination module is used to determine the production process of the workpiece; A two-dimensional code scanning module is used to control the blocker and the code reader according to the sensor signal to scan the two-dimensional code of the workpiece on the conveyor belt and identify the workpiece information, wherein the workpiece information includes the scanned code record; An error recognition module, used to determine whether there is an error based on the production process and the workpiece information, and obtain a workpiece recognition result; An alarm module, used for giving an alarm when the workpiece recognition result is an error; A production control module, used for determining production information based on the workpiece identification result; The error tracing module is used to identify abnormal production information of abnormal workpieces and related workpieces, and determine the detection strategy of the related workpieces.

[0006] By adopting the above technical scheme, the production process of the workpiece can be updated in time through the process determination module, and the QR code of the workpiece can be automatically scanned through the QR code scanning module, which reduces the information recording lag and omission caused by manual scanning, improves the reliability of information recording, and thus improves the efficiency and reliability of subsequent workpiece tracing. The error recognition module and the alarm module are used to handle exceptions in time, which reduces the possibility of further errors. The production information can be dynamically adjusted according to the workpiece recognition results through the production tracing module, which improves the stability of the production process. The error tracing module can quickly identify the associated workpieces of the abnormal workpiece, which improves the efficiency of workpiece tracing. By automatically determining the detection strategy of the associated workpiece, the associated workpiece can be detected more efficiently and reasonably.

[0007] Optionally, the process determination module is specifically used for: Get the artifact type; Matching a fixed production process based on the workpiece type; Obtaining historical sampling information and historical abnormality information, wherein the historical sampling information includes historical sampling ratios and historical sampling types, and the historical abnormality information includes historical abnormality types; Determine a current sampling ratio based on the historical abnormal information and the historical sampling ratio; Determine the number of the sampled workpiece based on the current sampled inspection ratio and the preset sampled inspection rules; The production process of each workpiece is determined based on the fixed production process and the sampled workpiece number.

[0008] By adopting the above technical solution, the fixed production process is determined by the workpiece type, the current sampling ratio is determined by analyzing the historical sampling information and historical abnormal information, and the sampling workpiece number is determined by the current sampling ratio and preset sampling rules. This allows the production process of each workpiece to be updated more timely, and error information in the production process to be discovered more timely and accurately.

[0009] Optionally, the process determination module is specifically used to determine the current sampling ratio based on the historical abnormal information and the historical sampling ratio, including: Dividing the historical anomaly information according to the historical anomaly type to obtain a plurality of historical anomaly combinations, each of the historical anomaly combinations corresponding to one of the historical anomaly types; Determine the corresponding relationship between each of the historical sampling types and the historical abnormal combination based on the preset association; Based on the corresponding relationship, count the number of anomalies in the historical anomaly information corresponding to each type of historical sampling; If the number of abnormalities is greater than the preset number of abnormalities, calculating the abnormality excess rate based on the number of abnormalities and the preset number of abnormalities; The current sampling ratio is determined based on the abnormal over-limit rate and the historical sampling ratio.

[0010] By adopting the above technical solution, when determining the sampling ratio of workpieces, the historical sampling ratio is adjusted by analyzing the number of abnormalities when sampling according to the historical sampling ratio, so that the workpieces are sampled according to the current sampling ratio, which can improve the reliability of the workpiece sampling.

[0011] Optionally, the error identification module is specifically used to: Determine the scanning points and scanning order based on the scanning records; Based on the production process, determine whether there are errors in the code scanning points and the code scanning sequence, and obtain a point recognition result; Acquire a detection and recognition result based on the workpiece information; A workpiece recognition result is determined based on the point recognition result and the detection recognition result.

[0012] By adopting the above technical solution, after scanning the workpiece, it is immediately determined whether there are errors in the points and sequence in the workpiece production process, and whether the detection and recognition results of the workpiece are qualified, and the workpiece recognition results are obtained, so that error handling can be carried out more promptly based on the workpiece recognition results.

[0013] Optionally, the production control module is specifically used to: If the workpiece recognition result is an error, the workpiece residence time is obtained; If the workpiece stays for longer than a preset time, adjusting the workpiece conveying speed based on the workpiece stay time; Production information is adjusted based on the workpiece conveying speed.

[0014] By adopting the above technical solution, when the workpiece recognition result is erroneous, the workpiece will stay at the original position and wait for manual processing. By adjusting the workpiece conveying speed according to the length of time the workpiece stays, congestion of workpieces on the conveyor belt can be reduced, thereby improving the stability of the production process.

[0015] Optionally, the error tracing module is specifically used for: If there is an abnormal workpiece, abnormal production information of the abnormal workpiece is obtained; determining a production batch based on the abnormal production information; Determine the workpieces having the same production batch as the abnormal workpiece as associated workpieces; Obtaining the storage location and circulation status of the associated artifacts; A detection strategy is determined based on the storage location and the circulation situation.

[0016] By adopting the above technical solution, by quickly obtaining the production batch of abnormal workpieces, it is possible to quickly determine the related workpieces and the storage location and circulation status of the related workpieces, thereby improving the efficiency of workpiece tracing, and determining the detection strategy based on the storage location and circulation status of the related workpieces, thereby improving the detection efficiency and reducing the occurrence rate of abnormalities.

[0017] Optionally, the error tracing module is specifically used to determine the detection strategy based on the storage location and the circulation situation, including: If there is circulation, obtain usage feedback issues; Determine the abnormality type and the abnormality frequency corresponding to each abnormality type based on the usage feedback question; Determine the abnormal type whose abnormal frequency is greater than a preset abnormal frequency as a high-frequency abnormal type; Determining an abnormality detection frequency based on the abnormal frequency corresponding to the high-frequency abnormality type; determining a storage state of each of the associated workpieces based on the storage location; A detection strategy is determined based on the storage status and the abnormality detection frequency.

[0018] By adopting the above technical solution and taking into account the feedback problem of the use of the workpiece, a more reliable abnormality detection frequency can be formulated, so that abnormality detection based on the abnormality detection frequency can effectively reduce the probability of abnormality occurrence and improve the production quality of the workpiece.

[0019] Optionally, the workpiece traceability and error prevention system further includes a box label printing module, which is used to generate and print a box label when the quantity and quality of the packed workpieces meet preset requirements.

[0020] Optionally, the workpiece traceability and error prevention system further includes a report generation module, and the report generation module is used to generate statistical reports.

[0021] Optionally, the workpiece traceability and error prevention system further includes a detection module, which is used to obtain detection data and determine a detection and identification result based on standard data and the detection data. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural block diagram of a workpiece traceability and error prevention system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0025] Figure 1 A structural block diagram of a workpiece traceability and error prevention system provided in an embodiment of the present application.

[0026] like Figure 1 As shown, a workpiece traceability error prevention system 100 includes (modules 101-106): The process determination module 101 is used to determine the production process of the workpiece.

[0027] Different types of workpieces have different production processes. The same type of workpieces may also have different production processes due to sampling and other situations. The process determination module 101 is used to determine the production process of the workpiece, so that the production status of the workpiece can be determined more accurately during subsequent tracing.

[0028] As an optional implementation mode of this embodiment, the process determination module is specifically used to: obtain the workpiece type; match the fixed production process based on the workpiece type; obtain historical sampling information and historical exception information, the historical sampling information includes historical sampling ratios and historical sampling types, and the historical exception information includes historical exception types; determine the current sampling ratio based on the historical exception information and the historical sampling ratio; determine the sampling workpiece number based on the current sampling ratio and preset sampling rules; determine the production process of each workpiece based on the fixed production process and the sampling workpiece number.

[0029] In this embodiment, the workpiece type of the workpiece is obtained from the database or the staff, and a fixed production process is matched from the database according to the workpiece type, that is, a fixed production process for each type of workpiece, and historical sampling information and historical abnormality information are obtained from the database. By analyzing the historical abnormality information and the historical sampling ratio and the historical sampling type in the historical sampling information, the current sampling ratio of each sampling type is determined, and a preset sampling rule is obtained from the database. The preset sampling rule is a rule for determining the number of sampling workpieces to be sampled from the workpiece. For example, the total production quantity of a type of workpiece is a, the sampling quantity of this type of workpiece is b, and the preset sampling rule is a rule for determining the number of sampling workpieces to be sampled. The inspection rule is to conduct a random inspection every time a / b workpieces are produced. The preset random inspection rules in the above example are for illustration only and are not specifically limited. The number of random inspections for a type of workpiece = current random inspection ratio × the total production quantity of this type of workpiece (obtained from the staff). The random inspection workpiece number is determined according to the preset random inspection rules based on the random inspection number and the total production quantity of this type of workpiece. For the random inspection workpiece, the random inspection process is added to the corresponding position of the fixed production process (the position to be added for each random inspection type is preset) to obtain the final production process of the workpiece. For workpieces that do not need to be inspected, the fixed production process is determined as the final production process of the workpiece.

[0030] As an optional implementation of this embodiment, the process determination module is specifically used to determine the current sampling ratio based on historical abnormal information and historical sampling ratios, including: dividing the historical abnormal information according to the historical abnormality type to obtain multiple historical abnormality combinations, each historical abnormality combination corresponding to a historical abnormality type; determining the correspondence between each historical sampling type and the historical abnormality combination based on a preset association; counting the number of abnormalities in the historical abnormal information corresponding to each historical sampling type based on the corresponding relationship; if the number of abnormalities is greater than the preset number of abnormalities, calculating the abnormality exceedance rate based on the number of abnormalities and the preset number of abnormalities; determining the current sampling ratio based on the abnormality exceedance rate and the historical sampling ratio.

[0031] In this embodiment, historical abnormality information corresponding to the same historical abnormality type is divided into a historical abnormality combination to obtain multiple historical abnormality combinations, and a preset association is obtained from the database. The preset association is the correspondence between the abnormality type and the sampling type. The historical abnormality combination corresponding to each historical sampling type is determined according to the preset association, and the number of historical abnormality information corresponding to each historical sampling type is counted, that is, the number of abnormalities. If the number of abnormalities is greater than the preset number of abnormalities, it means that the abnormality rate of workpiece sampling according to the historical sampling ratio is high, and the sampling ratio needs to be adjusted. The abnormality excess rate = the number of abnormalities / the preset number of abnormalities, and the current sampling ratio = the abnormality excess rate × the historical sampling ratio.

[0032] The two-dimensional code scanning module 102 is used to control the blocker and the code reader according to the sensor signal to scan the two-dimensional code of the workpiece on the conveyor belt and identify the workpiece information, which includes the scanning record.

[0033] After the workpiece is produced, it will be transported by a conveyor belt. When the workpiece is transported to the preset position, the sensor at the preset position will sense the workpiece arrival signal. At this time, the sensor triggers the blocker at the preset position to work. The blocker extends the baffle rod to fix the workpiece. At the same time, the blocker sends a scanning QR code signal to the barcode reader. The barcode reader scans the QR code of the workpiece on the conveyor belt to obtain the workpiece information.

[0034] The error identification module 103 is used to determine whether there is an error based on the production process and workpiece information, and obtain a workpiece identification result.

[0035] As an optional implementation of this embodiment, the error recognition module is specifically used to: determine the scanning points and the scanning order based on the scanning records; judge whether there are errors in the scanning points and the scanning order based on the production process to obtain point recognition results; obtain detection and recognition results based on workpiece information; determine the workpiece recognition results based on the point recognition results and the detection and recognition results.

[0036] In this embodiment, if the barcode reader successfully scans the QR code, there is workpiece information. The scanning points and the scanning order are found from the scanning record of the workpiece information. According to the production process, it is determined whether the scanning points of the workpiece are complete and whether the scanning order of each scanning point is correct. If the scanning points are incomplete and / or the scanning order of the scanning points is wrong, there is an error in the production process of the workpiece, and the point recognition result is a recognition error. Otherwise, the point recognition result is a correct recognition. The detection and recognition result of the workpiece is obtained from the database, that is, the detection result when the workpiece is sampled or fixedly inspected. The detection and recognition result includes qualified or unqualified. The point recognition result and the detection and recognition result are jointly determined as the workpiece recognition result. If the point recognition result is a recognition error and / or the detection and recognition result is unqualified, the workpiece recognition result is wrong. If the point recognition result is a correct recognition and the detection and recognition result is qualified, the workpiece recognition result is correct.

[0037] If the code reader fails to scan the QR code successfully, there is no workpiece information and the workpiece recognition result is wrong.

[0038] If the workpiece identification result is correct, the blocker retracts the lever to release the workpiece.

[0039] The alarm module 104 is used to generate an alarm when the workpiece recognition result is wrong.

[0040] If the workpiece identification result is wrong, the alarm will sound, and the blocker will not work, that is, the blocker will still fix the workpiece and wait for manual processing.

[0041] The production control module 105 is used to determine production information based on the workpiece recognition result.

[0042] As an optional implementation of this embodiment, the production control module is specifically used to: if the workpiece recognition result is wrong, obtain the workpiece residence time; if the workpiece residence time exceeds the preset residence time, adjust the workpiece conveying speed based on the workpiece residence time; adjust the production information based on the workpiece conveying speed.

[0043] In this embodiment, if the workpiece recognition result is wrong, the residence time of the workpiece at the preset position is obtained from the sensor, that is, the length of time the sensor continuously senses the workpiece; if the workpiece residence time exceeds the preset residence time, it may cause congestion in the conveyor belt. The database stores the correspondence between the workpiece residence time and the workpiece conveying speed (pre-set by the staff according to actual conditions), and the workpiece conveying speed is obtained from the database according to the workpiece residence time. The production information is to convey the workpiece to the conveyor belt at the new workpiece conveying speed.

[0044] The error tracing module 106 is used to identify abnormal production information of abnormal workpieces and related workpieces, and determine the detection strategy of the related workpieces.

[0045] An abnormal workpiece is a workpiece that has an abnormality when performing fixed inspection or random inspection on the workpiece.

[0046] As an optional implementation of this embodiment, the error tracing module is specifically used to: if there is an abnormal workpiece, obtain abnormal production information of the abnormal workpiece; determine the production batch based on the abnormal production information; determine the workpiece with the same production batch as the abnormal workpiece as the associated workpiece; obtain the storage location and circulation status of the associated workpiece; and determine the detection strategy based on the storage location and circulation status.

[0047] In this embodiment, if there is an abnormal workpiece, the abnormal production information of the abnormal workpiece is obtained, and the abnormal production information includes but is not limited to the workpiece number, production batch, abnormal type, abnormal detection data, etc., and the production batch of the abnormal workpiece is found from the abnormal production information; the workpiece with the same production batch as the abnormal workpiece is determined as an associated workpiece, and the storage location and circulation status of the associated workpiece are obtained from the database (when the associated workpiece has been sold, there is a circulation status), the circulation status includes the circulation place, the storage location and circulation status of the associated workpiece are analyzed, and the detection strategy of the associated workpiece is determined.

[0048] As an optional implementation of this embodiment, the error tracing module is specifically used to determine the detection strategy based on the storage location and circulation situation, including: if there is a circulation situation, obtaining usage feedback issues; determining the exception type and the exception frequency corresponding to each exception type based on the usage feedback issues; determining the exception type with an exception frequency greater than a preset exception frequency as a high-frequency exception type; determining the exception detection frequency based on the exception frequency corresponding to the high-frequency exception type; determining the storage status of each associated workpiece based on the storage location; and determining the detection strategy based on the storage status and the exception detection frequency.

[0049] In this embodiment, if there is a circulation situation in the associated workpieces, usage feedback problems are obtained from the staff at the circulation office, the abnormal type is found from the usage feedback problems, and the abnormal frequency corresponding to each abnormal type is counted, and the abnormal type with an abnormal frequency greater than the preset abnormal frequency is determined as a high-frequency abnormal type. The database stores the correspondence between the abnormal frequency and the abnormal detection frequency. The abnormal detection frequency is found from the database according to the abnormal frequency corresponding to the high-frequency abnormal type. The workpieces in different storage locations correspond to different storage states, and the storage states include unboxed, boxed, and sold. The storage state of each associated workpiece is determined according to the correspondence between the storage location and the storage state, and the total number of associated workpieces with a storage state of unboxed and boxed (i.e., unsold) is counted. The detection quantity = total quantity × abnormal detection frequency. The detection strategy is to select the detection quantity of associated workpieces from the associated workpieces with a storage state of unboxed for detection, and the detection type is a detection type for detecting high-frequency abnormal types.

[0050] As an optional implementation of this embodiment, the workpiece traceability and error prevention system also includes a box label printing module, which is used to generate and print a box label when the quantity and quality of the packed workpieces meet preset requirements.

[0051] The preset requirements include that the number of packed workpieces is equal to the preset number and the quality of the packed workpieces is qualified.

[0052] After the workpieces are produced, they need to be packed. When it is detected that the quantity and quality of the packed workpieces meet the preset requirements, a box label is generated, and the printing device is controlled to print the box label to mark a box of workpieces.

[0053] As an optional implementation of this embodiment, the workpiece traceability and error prevention system further includes a report generation module, and the report generation module is used to generate statistical reports.

[0054] The report generation module can generate various reports according to the needs of the staff, and can generate various statistical reports regularly.

[0055] As an optional implementation of this embodiment, the workpiece traceability and error prevention system further includes a detection module, which is used to obtain detection data and determine a detection and identification result based on the standard data and the detection data.

[0056] When inspecting a workpiece, the inspection module obtains inspection data from various inspection devices and compares the inspection data with the standard data. If the inspection data all meet the standard data, the inspection and recognition result is qualified. If there is inspection data that does not meet the standard data, the inspection and recognition result is unqualified. At the same time, the inspection and recognition result also includes the inspection data that does not meet the standard data and the abnormal type of the inspection data.

[0057] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0058] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A workpiece traceability error prevention system, characterized in that: include: A process determination module is used to determine the production process of the workpiece; A two-dimensional code scanning module is used to control the blocker and the code reader according to the sensor signal to scan the two-dimensional code of the workpiece on the conveyor belt and identify the workpiece information, wherein the workpiece information includes the scanned code record; An error recognition module, used to determine whether there is an error based on the production process and the workpiece information, and obtain a workpiece recognition result; An alarm module, used for giving an alarm when the workpiece recognition result is an error; A production control module, used for determining production information based on the workpiece identification result; The error tracing module is used to identify abnormal production information of abnormal workpieces and related workpieces, and determine the detection strategy of the related workpieces.

2. The system according to claim 1, characterized in that The process determination module is specifically used for: Get the artifact type; Matching a fixed production process based on the workpiece type; Obtaining historical sampling information and historical abnormality information, wherein the historical sampling information includes historical sampling ratios and historical sampling types, and the historical abnormality information includes historical abnormality types; Determine a current sampling ratio based on the historical abnormal information and the historical sampling ratio; Determine the number of the sampled workpiece based on the current sampled inspection ratio and the preset sampled inspection rules; The production process of each workpiece is determined based on the fixed production process and the sampled workpiece number.

3. The system according to claim 2, characterized in that The process determination module is specifically used to determine the current sampling ratio based on the historical abnormal information and the historical sampling ratio, including: Dividing the historical anomaly information according to the historical anomaly type to obtain a plurality of historical anomaly combinations, each of the historical anomaly combinations corresponding to one of the historical anomaly types; Determine the corresponding relationship between each of the historical sampling types and the historical abnormal combination based on the preset association; Based on the corresponding relationship, count the number of anomalies in the historical anomaly information corresponding to each type of historical sampling; If the number of abnormalities is greater than the preset number of abnormalities, calculating the abnormality excess rate based on the number of abnormalities and the preset number of abnormalities; The current sampling ratio is determined based on the abnormal over-limit rate and the historical sampling ratio.

4. The system according to claim 1, characterized in that The error recognition module is specifically used for: Determine the scanning points and scanning order based on the scanning records; Based on the production process, determine whether there are errors in the code scanning points and the code scanning sequence, and obtain a point recognition result; Acquire a detection and recognition result based on the workpiece information; A workpiece recognition result is determined based on the point recognition result and the detection recognition result.

5. The system according to claim 1, characterized in that The production control module is specifically used for: If the workpiece recognition result is an error, the workpiece residence time is obtained; If the workpiece stay time exceeds the preset stay time, adjusting the workpiece conveying speed based on the workpiece stay time; Production information is adjusted based on the workpiece conveying speed.

6. The system according to claim 1, characterized in that The error tracing module is specifically used for: If there is an abnormal workpiece, abnormal production information of the abnormal workpiece is obtained; determining a production batch based on the abnormal production information; Determine the workpieces having the same production batch as the abnormal workpiece as associated workpieces; Obtaining the storage location and circulation status of the associated artifacts; A detection strategy is determined based on the storage location and the circulation situation.

7. The system according to claim 6, characterized in that The error tracing module is specifically used to determine the detection strategy based on the storage location and the circulation situation, including: If there is circulation, obtain usage feedback issues; Determine the abnormality type and the abnormality frequency corresponding to each abnormality type based on the usage feedback question; Determine the abnormal type whose abnormal frequency is greater than a preset abnormal frequency as a high-frequency abnormal type; Determining an abnormality detection frequency based on the abnormal frequency corresponding to the high-frequency abnormality type; determining a storage state of each of the associated workpieces based on the storage location; A detection strategy is determined based on the storage status and the abnormality detection frequency.

8. The system according to claim 1, characterized in that The workpiece tracing and error-proofing system further comprises a box label printing module, which is used to generate and print a box label when the quantity and quality of the packed workpieces meet preset requirements.

9. The system according to claim 1, characterized in that The workpiece traceability and error prevention system further comprises a report generation module, and the report generation module is used to generate statistical reports.

10. The system according to claim 1, characterized in that The workpiece traceability and error prevention system further includes a detection module, which is used to obtain detection data and determine a detection and identification result based on standard data and the detection data.

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