A manufacturing full-process supervision method and system based on tracking RFID tags

Abstract

The present invention discloses a manufacturing full-process supervision method and system based on tracking RFID tags, which relates to the field of manufacturing full-process supervision, including: collecting production information and obtaining process sequence information; generating products to be processed according to the process sequence information and obtaining operation process proficiency ratings; setting RFID tags on products to be processed; obtaining current process information of products to be processed, obtaining process sequence information to be tested, obtaining real-time product margins, and establishing an objective function; obtaining process sequence information of qualified products, which is recorded as standard process sequence information; comparing the process sequence information to be tested with the standard process sequence information, and obtaining process sequence abnormality data; analyzing RFID tag information of products corresponding to the process sequence abnormality data and obtaining abnormal process flow information; obtaining abnormal factors according to the abnormal process flow information; assigning weights to abnormal factors; combining the weight values ​​of abnormal factors with the objective function to generate a planning model.

Description

Technical Field

[0001] The present invention relates to the field of full-process manufacturing supervision, and in particular to a full-process manufacturing supervision method and system based on tracking RFID tags. Background Art

[0002] RFID tags are non-contact automatic identification technology tags that can identify target objects and obtain relevant data based on radio frequency signals. Full-process manufacturing supervision is a way to conduct comprehensive, systematic, and real-time monitoring and management of all aspects of product manufacturing. It integrates advanced information technology, quality management methods, and process control methods to ensure that the production process meets standard specifications and effectively control product quality, production efficiency, and other aspects, so as to improve the overall operation level and market competitiveness of manufacturing enterprises, ensure the stability and reliability of product quality, meet customer needs, and adapt to market changes.

[0003] Traditional full-process manufacturing supervision has many difficulties in tracking production links. For example, it relies on manual records and paper documents to record information, which is prone to recording errors and untimely information transmission. For a large and complex production line, it is difficult to understand in real time which production stage each product is in. In terms of quality control, traditional full-process manufacturing supervision mainly relies on sampling inspection, which may not fully represent the quality of the entire batch of products. Moreover, after quality problems are discovered, it is difficult to trace the scope and cause of the problem products, and it takes a lot of time to review production records and inspection reports. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for supervising the entire manufacturing process based on tracking RFID tags is provided. This technical solution solves the problems raised in the above background technology, such as easy occurrence of recording errors, untimely information transmission, inability to timely determine which production stage each product is in, and difficulty in tracing the scope and causes of problematic products.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A whole-process manufacturing supervision method based on tracking RFID tags, including:

[0007] Collect production information, determine the information of materials to be processed, generate and analyze production process information, and obtain process sequence information;

[0008] Generate the products to be processed based on the information of materials to be processed, production process information and process sequence information, and obtain the proficiency rating of the operation process;

[0009] Assign production line tasks based on operational process proficiency ratings;

[0010] An RFID tag is set on the product to be processed, and the RFID tag is used to store the basic material information of the material to be processed and the current process information of the product to be processed;

[0011] According to the RFID tag, the current process information of the product to be processed is obtained, the process sequence information to be tested is obtained, the real-time product margin is obtained, and the objective function is established;

[0012] Based on the products to be processed, process sequence information of qualified products is obtained and recorded as standard process sequence information;

[0013] Compare the process sequence information to be tested with the standard process sequence information to obtain process sequence abnormality data, and record the product to be processed corresponding to the process sequence abnormality data as a product with abnormal processing information;

[0014] Acquire and analyze the RFID tag information of products with abnormal processing information to obtain abnormal process flow information;

[0015] According to the abnormal process flow information, factors causing the abnormal process flow information are obtained and recorded as abnormal factors;

[0016] Based on the standard process sequence information and abnormal process flow information, weights are assigned to abnormal factors;

[0017] The weight values ​​of abnormal factors are combined with the objective function to generate a mixed integer linear programming model;

[0018] Based on the mixed integer linear programming model, the production process of the product is supervised and adjusted.

[0019] Preferably, the generating of the product to be processed and obtaining the operation process proficiency rating according to the information of the material to be processed, the production process information and the process sequence information specifically includes:

[0020] Based on production information, clarify the product's functions, application environment and design goals;

[0021] Design the system architecture of the product and determine the materials required to produce the product according to the product's functions and application environment;

[0022] Design the production process that materials need to go through to produce products based on product functions and design goals;

[0023] According to the system architecture and RFID tag information of the product, the batches of materials required to generate the products to be processed are allocated to each process production line;

[0024] Collect historical work data of operators of each process production line, obtain and classify employees' proficiency in the operation process of each production line, and generate employees' proficiency rating for the operation process of each production line;

[0025] Assign personnel to process production lines based on the employees' proficiency ratings of each production line's operating procedures;

[0026] According to the materials and process line personnel allocated to each process production line, production tasks are assigned to the production line personnel. Preferably, the real-time product surplus is obtained, specifically including:

[0027] Get real-time time and location information of products to be processed;

[0028] Based on the standard process sequence information and the location information of the product to be processed, determine whether the process sequence information to be tested is wrong. If so, mark the product to be processed as abnormal process sequence data. If not, further judge the product to be processed;

[0029] Analyze the products to be processed that have no errors in the process sequence information to be tested, determine whether the products to be processed enter or leave the process flow, and obtain the determination result;

[0030] Combined with the real-time time, the judgment result is further analyzed. If the product to be processed enters the process flow, the real-time time is entered into the RFID tag as the time of entering the process flow. If the product to be processed leaves the process flow, the real-time time is entered into the RFID tag as the time of leaving the process flow, and the specific production information of the process flow is entered.

[0031] The sensor reads the data information of the products leaving the process flow to obtain the real-time product balance of each process flow production line;

[0032] According to the operator's proficiency in each production line process, obtain the standard product margin of the process production line;

[0033] Compare the standard product margin of the process production line with the real-time product margin of the process production line, and make real-time adjustments to the process production line personnel.

[0034] Preferably, the establishing of the objective function specifically includes:

[0035] Based on RFID tags, obtain the time when the product to be processed enters the process flow and the time when it leaves the process flow;

[0036] Determine the time that the product to be processed spends in each process flow according to the time when the product to be processed enters the process flow and the time when it leaves the process flow;

[0037] According to the process sequence information to be tested, the process input rate and process output rate of each process are obtained;

[0038] Determine the output efficiency of each process flow according to the process flow input rate and process flow output rate of each process flow;

[0039] Establish the objective function based on the process sequence information to be tested and the output efficiency of each process flow ;

[0040] The specific calculation formula of the objective function is:

[0041]

[0042] In the formula, Indicates the total number of process steps that the product to be processed needs to go through. Indicates the process flow The output efficiency, Indicates the process flow Is it executed, if the product to be processed goes through the process flow For processing, , otherwise , Indicates the process flow Real-time product margin, Indicates the process flow Standard product margin, Indicates the process flow time variable.

[0043] Preferably, the obtaining of process sequence abnormality data specifically includes:

[0044] Read the process sequence information of the product from the RFID tag through the information reading device;

[0045] According to the standard process sequence information, the product process sequence information read from the RFID tag is evaluated to obtain abnormal process sequence information;

[0046] Compare the abnormal process sequence information with the standard process sequence information to obtain abnormal type information;

[0047] According to the exception type information, the exception type is determined. If the exception type is missing process flow, the product is processed with the missing process flow. If the exception type is scrap, the scrapped product is further analyzed.

[0048] Preferably, the further analysis of the scrapped products specifically includes:

[0049] According to the process flow information of the scrapped products, obtain the process information through which the scrapped products have passed;

[0050] Analyze the process information of scrapped products and obtain reusable product materials;

[0051] According to the reusable product materials, the scrapped products are disassembled to obtain reusable materials and non-reusable materials;

[0052] Clear the RFID tag information of the disassembled reusable materials, re-enter the basic information of the materials, and transport them to the production line;

[0053] Unified processing of non-reusable materials, entry of product scrapping information into RFID tags, and real-time monitoring of the movement of non-reusable materials.

[0054] Preferably, the factors causing abnormal process information are obtained, specifically including:

[0055] Obtain production line information of each process flow based on production process information;

[0056] Read and analyze the RFID tag information of products with abnormal processing information, and obtain the process production line information that the abnormal products have passed through;

[0057] Obtain abnormal factors based on the production line information of each process flow and the process production line information through which the abnormal products pass;

[0058] Preferably, the weighting of abnormal factors specifically includes:

[0059] The abnormal factors are set up as a matrix, which is recorded as the original data matrix;

[0060] Standardize the original data matrix to eliminate the influence of different factor dimensions;

[0061] Assume the original data matrix is , where m is the number of products with abnormal processing information, n is the number of abnormal factors, a and b are factors of different dimensions, To rate the proficiency of the operational process, is the number of human factors;

[0062] Process the original data matrix through the standardization processing formula to obtain a standardized matrix;

[0063] The standardization formula is:

[0064] ;

[0065] The standardized matrix is

[0066] Determine the weight values ​​of equipment factors according to the standardized matrix;

[0067] Based on the weight value of the equipment factor, the weight value of the human factor is obtained;

[0068] The specific calculation formula for the weight value of the equipment factor is:

[0069] ;

[0070] The specific calculation formula for the weight value of human factors is:

[0071]

[0072] The abnormal weight value of the equipment factor and the weight value of the human factor are collectively referred to as the abnormal factor weight value.

[0073] Preferably, generating a mixed integer linear programming model specifically includes:

[0074] Analyze the factors that cause abnormal RFID tag information and determine whether the abnormal factors will cause the information identification equipment to fail to work properly. If so, strengthen supervision of the information identification equipment affected by the abnormal factors and conduct regular inspections and maintenance. If not, further analyze the factors that cause abnormal RFID tag information.

[0075] Further analyze the results based on abnormal factors to obtain the degree of influence of abnormal factors on each process flow;

[0076] Assign the impact degree to each process flow based on the abnormal factor weight;

[0077] Obtain the impact value of each process flow and optimize the objective function;

[0078] A mixed integer linear programming model is generated according to the optimized objective function.

[0079] Furthermore, a whole-process manufacturing supervision system based on tracking RFID tags is proposed, which is used to implement the whole-process manufacturing supervision method of tracking RFID tags as described above, including:

[0080] An information storage module, which is used to store the entered information and is covered inside the RFID tag;

[0081] An information entry module, wherein the information entry module is used to update the RFID tag information;

[0082] An information reading module, wherein the information reading module is used to obtain information in the RFID tag;

[0083] A data analysis module, which is used to analyze the data transmitted by the information reading module, mark and judge abnormal data;

[0084] A supervision center, which is used to supervise the operation of each process flow according to the location information of the material and regulate the production line of each process flow;

[0085] An instruction issuing module, which is used to obtain data transmitted by the supervision center and transmit instructions to each process production line;

[0086] Data middleware, the data middleware is used to obtain the key. When the information reading module wants to obtain the data of the information storage module, it needs to send the key to the data middleware. The data middleware obtains the key from the supervision center and compares it with the key sent by the information reading module. If the key is correct, the information reading module can obtain the data of the information storage module.

[0087] Compared with the prior art, the present invention has the following beneficial effects:

[0088] The present invention proposes a whole-process manufacturing supervision method and system based on tracking RFID tags. The basic information of materials is recorded according to RFID tags, the production process and product structure are designed according to the production information, and the production sequence of the products to be processed is arranged based on the process flow. Every time a material completes a process flow, the process flow is entered into the RFID tag, thereby improving the recording accuracy, real-time and traceability of the material production process. If a problem is found in a batch of materials during the production process, the location of the batch of materials can be quickly determined by reading and locating the RFID tag information.

[0089] The present invention proposes a manufacturing full-process supervision method and system based on tracking RFID tags. The process flow information of qualified products is determined as standard process flow information, the standard process flow information is compared with the process flow information of other products, processing information abnormality data is obtained, the RFID tag information of the product with abnormal processing information is analyzed, the factors causing the abnormal RFID tag information are obtained, the factors causing the abnormal RFID tag information are standardized, and weights are assigned to the factors causing the abnormal RFID tag information in combination with the standard process flow information. According to the weight values ​​of the factors causing the abnormal RFID tag information and in combination with the objective function, a mixed integer linear programming model is generated to regulate the production process. In this way, the importance of each process flow can be quantified. The mixed integer linear programming model can be used to reasonably allocate production line tasks and adjust the production rate of each production line. By strengthening the supervision of the work content of important process flows and improving the professional skills training of important process flow personnel, the production process can be kept stable and high production efficiency can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 A flowchart of the whole manufacturing process supervision method based on tracking RFID tags proposed for this solution;

[0091] Figure 2 A flowchart of the steps in this program to derive the proficiency rating of the operating process;

[0092] Figure 3 This is a flowchart of the steps in this solution to obtain the current process information of the product to be processed;

[0093] Figure 4 A flowchart of the steps for establishing the objective function in this scheme;

[0094] Figure 5 This is a flow chart of the method for obtaining process sequence abnormality data in this scheme;

[0095] Figure 6 This is a flow chart of the method for further analysis of scrapped products in this solution;

[0096] Figure 7 A flow chart of the method for obtaining factors that cause abnormal process information in this solution;

[0097] Figure 8 A structural diagram of the manufacturing full-process supervision system based on tracking RFID tags proposed for this solution. DETAILED DESCRIPTION

[0098] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0099] Reference Figure 1 As shown, a whole-process manufacturing supervision method based on tracking RFID tags includes:

[0100] Collect production information, determine the information of materials to be processed, generate and analyze production process information, and obtain process sequence information;

[0101] Generate the products to be processed based on the information of materials to be processed, production process information and process sequence information, and obtain the proficiency rating of the operation process;

[0102] Assign production line tasks based on operational process proficiency ratings;

[0103] An RFID tag is set on the product to be processed, and the RFID tag is used to store the basic material information of the material to be processed and the current process information of the product to be processed;

[0104] According to the RFID tag, the current process information of the product to be processed is obtained, the process sequence information to be tested is obtained, the real-time product margin is obtained, and the objective function is established;

[0105] Based on the products to be processed, process sequence information of qualified products is obtained and recorded as standard process sequence information;

[0106] Compare the process sequence information to be tested with the standard process sequence information to obtain process sequence abnormality data, and record the product to be processed corresponding to the process sequence abnormality data as a product with abnormal processing information;

[0107] Acquire and analyze the RFID tag information of products with abnormal processing information to obtain abnormal process flow information;

[0108] According to the abnormal process flow information, factors causing the abnormal process flow information are obtained and recorded as abnormal factors;

[0109] Based on the standard process sequence information and abnormal process flow information, weights are assigned to abnormal factors;

[0110] The weight values ​​of abnormal factors are combined with the objective function to generate a mixed integer linear programming model;

[0111] Based on the mixed integer linear programming model, the production process of the product is supervised and adjusted.

[0112] Based on the production information, this solution determines the processing process of the product to be processed, obtains and analyzes the information of the material to be processed, the production process information and the process sequence information, generates the product to be processed, obtains the operation process proficiency rating, assigns the production line tasks, obtains the real-time product margin according to the RFID tag, establishes the objective function, determines the process flow information of the qualified product as the standard process sequence information, compares the standard process sequence information with the process flow information of other products, obtains the abnormal processing information data, analyzes the RFID tag information of the product with abnormal processing information, obtains the factors that cause the abnormal RFID tag information, standardizes the factors that cause the abnormal RFID tag information, assigns weights to the factors that cause the abnormal RFID tag information in combination with the standard process flow information, assigns the degree of influence to each process flow according to the weight value of the abnormal factor, combines the assignment result with the objective function, generates a mixed integer linear programming model, and regulates the production process.

[0113] Reference Figure 2 As shown, based on the information of materials to be processed, production process information and process sequence information, the products to be processed are generated and the proficiency rating of the operation process is obtained, including:

[0114] Based on production information, clarify the product's functions, application environment and design goals;

[0115] Design the system architecture of the product and determine the materials required to produce the product according to the product's functions and application environment;

[0116] Design the production process that materials need to go through to produce products based on product functions and design goals;

[0117] According to the system architecture and RFID tag information of the product, the batches of materials required to generate the products to be processed are allocated to each process production line;

[0118] Collect historical work data of operators of each process production line, obtain and classify employees' proficiency in the operation process of each production line, and generate employees' proficiency rating for the operation process of each production line;

[0119] Assign personnel to process production lines based on the employees' proficiency ratings of each production line's operating procedures;

[0120] Assign production tasks to production line personnel based on the materials and process production line personnel allocated to each process production line.

[0121] It is understandable that the application environment and functions of the products will be different according to different production information. The functions of the products are mainly realized by core components. For the same core components, if the connection method is different, the functions of the products will also change. Therefore, there are strict requirements when designing the product structure. The process flow through which the processed product becomes the final product has a necessary sequence. This specific implementation scheme takes the manufacture of PCB boards as an example. The manufacturing process sequence of PCB boards can be arranged as cutting substrates, drilling, copper plating, etching, lamination, board plating and mounting electronic components, where each process is carried out in sequence. If the processing sequence is reversed in the process flow, the final product will not be able to achieve the desired function. If there are missing steps in the process flow and the subsequent process flow is carried out directly, the materials will be contaminated, making it impossible to purify the reusable materials and put them back into production. The historical work data of each operator in each process production line is analyzed to obtain the operation sequence of each operator. Take the average work rate of the operating employees on each production line, take the average work rate of each production line as the standard rate, and take the ratio of the average work rate of the operating employees on each production line to the standard rate as the employee rating data. If the employee rating data of the operating employee on a single production line is greater than the standard rate, then it is considered that the employee's operating process proficiency rating for the single production line is excellent; if the employee rating data of the operating employee on a single production line is equal to the standard rate, then it is considered that the employee's operating process proficiency rating for the single production line is good; if the employee rating data of the operating employee on a single production line is less than the standard rate, then it is considered that the employee's operating process proficiency rating for the single production line is poor. Employees with less excellent production line operating process proficiency ratings are preferentially assigned to the corresponding evaluation process production lines, and secondly, employees with more excellent production line operating process proficiency ratings are assigned to the corresponding evaluation process production lines. Obtain the information of the remaining short-staffed production lines, and assign employees with good production line operating process proficiency ratings to the corresponding short-staffed process production lines.

[0122] Reference Figure 3 As shown, obtain the real-time product margin, including:

[0123] Get real-time time and location information of products to be processed;

[0124] Based on the standard process sequence information and the location information of the product to be processed, determine whether the process sequence information to be tested is wrong. If so, mark the product to be processed as abnormal process sequence data. If not, further judge the product to be processed;

[0125] Analyze the products to be processed that have no errors in the process sequence information to be tested, determine whether the products to be processed enter or leave the process flow, and obtain the determination result;

[0126] Combined with the real-time time, the judgment result is further analyzed. If the product to be processed enters the process flow, the real-time time is entered into the RFID tag as the time of entering the process flow. If the product to be processed leaves the process flow, the real-time time is entered into the RFID tag as the time of leaving the process flow, and the specific production information of the process flow is entered.

[0127] Through the information reading equipment, the data information of the products to be processed leaving the process flow is obtained, and the real-time product surplus of each process flow production line is obtained;

[0128] According to the operator's proficiency in each production line process, obtain the standard product margin of the process production line;

[0129] Compare the standard product margin of the process production line with the real-time product margin of the process production line, and make real-time adjustments to the process production line personnel.

[0130] It can be understood that RFID tags can record information such as the start time, end time, and operation steps of each process of the product. In this embodiment, the manufacture of circuit boards requires multiple process flows such as drilling, copper plating, etching, lamination, and board plating. Each time a process flow is passed, the RFID reading device will record the relevant information of the process flow. Because RFID tags have the characteristics of large storage capacity, non-contact identification and unique identification, when the product to be processed moves on the process production line, the information identification device set at the junction of the two process production lines can accurately determine the position of the product to be processed. Combined with the standard path information, the supervision center can quickly determine the location of the product to be processed. Whether the product enters the process production line, which process production line it enters, and the difference between the data of the product to be processed entering the process and the data of the product to be processed leaving the process can be used to determine the real-time product margin of the production line. The historical work data of the operating employees of each process production line are analyzed to obtain the average product margin in the historical data of the production line, which is recorded as the standard product margin of the production line. The difference between the standard margin and the real-time product margin of the production line is obtained. If the difference between the standard margin and the real-time product margin of the production line is a positive number, it means that the work efficiency of the production line is too high, resulting in the inability of the previous production line to keep up with the production of this production line. The employees in this production line who are rated as excellent in the proficiency of the previous production line's operation process are transferred to the previous production line to achieve smooth and orderly production.

[0131] Reference Figure 4 As shown, establish the objective function, including:

[0132] Based on RFID tags, obtain the time when the product to be processed enters the process flow and the time when it leaves the process flow;

[0133] Determine the time that the product to be processed spends in each process flow according to the time when the product to be processed enters the process flow and the time when it leaves the process flow;

[0134] According to the process sequence information to be tested, the process input rate and process output rate of each process are obtained;

[0135] Determine the output efficiency of each process flow according to the process flow input rate and process flow output rate of each process flow;

[0136] Establish the objective function based on the process sequence information to be tested and the output efficiency of each process flow ;

[0137] The specific calculation formula of the objective function is:

[0138]

[0139] In the formula, Indicates the total number of process steps that the product to be processed needs to go through. Indicates the process flow The output efficiency, Indicates the process flow Is it executed, if the product to be processed goes through the process flow For processing, , otherwise , Indicates the process flow Real-time product margin, Indicates the process flow Standard product margin, Indicates the process flow time variable.

[0140] Understandably, is an execution variable, based on the process information in the product RFID tag. is a time variable. The time variable in this scheme is the processing time variable. The processing time variable can be obtained by multiplying the product of the material input rate of the current process flow and the processing time of the product in the current process flow by the output rate of the current process flow. The output efficiency of the process flow is the ratio of the process flow output rate to the material input rate. The bottleneck process flow problem needs to be considered when establishing the objective function. If the process flow output rate of a certain process flow is much smaller than the material input rate, the process flow is identified as a bottleneck process flow, indicating that the efficiency of the process flow is low and the process flow needs to be optimized and the production line of the process flow needs to be adjusted.

[0141] Reference Figure 5 As shown, the process sequence abnormality data is obtained, including:

[0142] Read the process sequence information of the product from the RFID tag through the information reading device;

[0143] According to the standard process sequence information, the process sequence information of the product read from the RFID tag is evaluated to obtain the abnormal process sequence information;

[0144] Compare the abnormal process sequence information with the standard process sequence information to obtain abnormal type information;

[0145] According to the exception type information, the exception type is determined. If the exception type is missing process flow, the product is processed with the missing process flow. If the exception type is scrap, the scrapped product is further analyzed.

[0146] It can be understood that by comparing the process flow information of the product with the standard process flow information, the abnormal process flow information obtained has different types of anomalies. Common types of anomalies can be divided into data missing type anomalies, data error type anomalies and duplicate data type anomalies. If the abnormal process flow information is a data missing type anomaly, it is determined that the abnormal process flow information product has omitted the process flow during the processing, the abnormal process flow information is analyzed, the omitted process flow is obtained, and the abnormal process flow information product is transported to the omitted process flow production line for processing. If the abnormal process flow information is a duplicate data type anomaly, the duplicate process flow information is obtained, and the equipment of the production line corresponding to the duplicate process flow information is inspected and repaired. If the abnormal process flow information is a data error type anomaly, it is determined that the abnormal process flow information product has been scrapped.

[0147] Reference Figure 6 As shown in the figure, further analysis of scrapped products includes:

[0148] According to the process flow information of the scrapped products, obtain the process information through which the scrapped products have passed;

[0149] Analyze the process information of scrapped products and obtain reusable product materials;

[0150] According to the reusable product materials, the scrapped products are disassembled to obtain reusable materials and non-reusable materials;

[0151] Clear the RFID tag information of the disassembled reusable materials, re-enter the basic information of the materials, and transport them to the production line;

[0152] Unified processing of non-reusable materials, entry of product scrapping information into RFID tags, and real-time monitoring of the movement of non-reusable materials.

[0153] It is understandable that some materials of scrapped products in the production process can be reused. For the entire manufacturing process, the substrate materials required for production can be obtained by crushing and grinding the substrate materials of scrapped products. The solder and other metal connection materials used in the packaging process of scrapped products can also be recycled and reused. Through a special metal recycling process, these solders are collected, and after smelting, purification and other steps, they are reused in etching, plate plating and other process flows, which greatly improves the utilization efficiency of materials and saves production costs.

[0154] Reference Figure 7 As shown in the figure, the factors that lead to abnormal process information are obtained, including:

[0155] Obtain production line information of each process flow based on production process information;

[0156] Read and analyze the RFID tag information of products with abnormal processing information, and obtain the process production line information that the abnormal products have passed through;

[0157] Obtain abnormal factors based on the production line information of each process flow and the process production line information through which the abnormal products pass;

[0158] It can be understood that by listing and analyzing the standard process flow information and the process flow information of products with abnormal RFID tag information, it is possible to obtain the abnormal process flow information of products with abnormal tag information, analyze the production line information corresponding to the abnormal process flow, obtain the specific steps in the process flow production line that lead to unqualified product production, analyze the specific steps that lead to unqualified product production, obtain the influencing factors in the specific steps that lead to unqualified product production, analyze the entire manufacturing process based on the influencing factors, mark the process flow affected by the influencing factors in the entire manufacturing process, and assign values ​​to the process flow information based on the weight values ​​of the influencing factors.

[0159] Furthermore, weights are assigned to abnormal factors, including:

[0160] The abnormal factors are set up as a matrix, which is recorded as the original data matrix;

[0161] Standardize the original data matrix to eliminate the influence of different factor dimensions;

[0162] Assume the original data matrix is , where m is the number of products with abnormal processing information, n is the number of abnormal factors, a and b are factors of different dimensions, To rate the proficiency of the operational process, is the number of human factors;

[0163] Process the original data matrix through the standardization processing formula to obtain a standardized matrix;

[0164] The standardization formula is:

[0165] ;

[0166] The standardized matrix is

[0167] Determine the weight values ​​of equipment factors according to the standardized matrix;

[0168] Based on the weight value of the equipment factor, the weight value of the human factor is obtained;

[0169] The specific calculation formula for the weight value of the equipment factor is:

[0170] ;

[0171] The specific calculation formula of the weight value of human factors is:

[0172]

[0173] The abnormal weight value of the equipment factor and the weight value of the human factor are collectively referred to as the abnormal factor weight value.

[0174] It can be understood that the abnormal weight value of the equipment factor refers to the degree of influence of abnormal factors related to the equipment itself, which is usually due to abnormalities or failures caused by aging of the equipment. For example, wear, overheating, corrosion, etc. of equipment parts may be regarded as abnormalities of equipment factors. The weight value of the human factor refers to the degree of influence of abnormal factors caused by human operation. For example, operator errors affect the normal operation of the equipment and even cause failures. By subdividing the abnormal factors, the obtained weight values ​​are more objective and fair, and can fully explore the differences in the importance of indicators in the data. Because the information contained in the data itself is diverse, different information often has different dimensions. In order to achieve comparability of different information, it is necessary to standardize the information and convert all information into a dimensionless unified scale, so as to comprehensively analyze the advantages and disadvantages of each process flow, so as to optimize the process flow later.

[0175] Furthermore, a mixed integer linear programming model is generated, which specifically includes:

[0176] Analyze the factors that cause abnormal RFID tag information and determine whether the abnormal factors will cause the information identification equipment to fail to work properly. If so, strengthen supervision of the information identification equipment affected by the abnormal factors and conduct regular inspections and maintenance. If not, further analyze the factors that cause abnormal RFID tag information.

[0177] Further analyze the results based on abnormal factors to obtain the degree of influence of abnormal factors on each process flow;

[0178] Assign the impact degree to each process flow based on the abnormal factor weight;

[0179] Obtain the impact value of each process flow and optimize the objective function;

[0180] A mixed integer linear programming model is generated according to the optimized objective function.

[0181] It is understandable that the factors that lead to abnormal RFID tag information are complex and diverse, and some factors are common factors in each process flow in the entire manufacturing process, such as the proficiency of production line workers. Therefore, when analyzing the impact of factors that lead to abnormal RFID tag information on each process flow in the process flow, it is necessary to eliminate the impact of common factors on the process flow. According to the mixed integer linear programming model, the production line can be macro-controlled, the quality policy can be determined, and a new quality system can be established. The new quality system needs to fully consider the quality of the product based on the application space, such as the product's insulation performance, mechanical strength, corrosion resistance, circuit integrity, silk screen character clarity and dimensional accuracy.

[0182] Further, see Figure 8 As shown, based on the same inventive concept as the above-mentioned method for supervising the whole process of manufacturing tracking RFID tags, this solution proposes a whole process supervision system for manufacturing based on tracking RFID tags, including:

[0183] An information storage module, which is used to store the entered information and is covered inside the RFID tag;

[0184] An information entry module, wherein the information entry module is used to update the RFID tag information;

[0185] An information reading module, wherein the information reading module is used to obtain information in the RFID tag;

[0186] A data analysis module, which is used to analyze the data transmitted by the information reading module, mark and judge abnormal data;

[0187] A supervision center, which is used to supervise the operation of each process flow according to the location information of the material and regulate the production line of each process flow;

[0188] An instruction issuing module, which is used to obtain data transmitted by the supervision center and transmit instructions to each process production line;

[0189] Data middleware, the data middleware is used to obtain the key. When the information reading module wants to obtain the data of the information storage module, it needs to send the key to the data middleware. The data middleware obtains the key from the supervision center and compares it with the key sent by the information reading module. If the key is correct, the information reading module can obtain the data of the information storage module.

[0190] It is understandable that in a production environment, there are various factors that may interfere with the reading of RFID tag signals, such as metal equipment, electromagnetic radiation sources, etc., which will reflect or interfere with radio frequency signals. In some workshops with large metal processing equipment, RFID tag signals may be weakened or distorted. To ensure the accuracy of radio frequency signals, it is necessary to reasonably arrange the position of information reading equipment and try to avoid interference sources. At the same time, tags and information reading modules with strong anti-interference capabilities can be used, such as using communication protocol modules with good anti-interference performance in high frequency (HF) or ultra-high frequency (UHF) frequency bands. During the production process, the tag may be physically damaged, such as being scratched, collided, squeezed or contaminated with chemicals, which may cause the tag to be unable to be recognized normally. On the process production line, the product may collide with other equipment during transmission and damage the tag, so the tag must be properly protected, such as using sturdy tag packaging materials and setting buffer devices in links prone to collisions to avoid tag damage. Because the embodiment adopted in this scheme is PCB In the production of boards, many chemical processing materials and physical processing are used in the production process supervision, which may touch the RFID tags. Therefore, it is necessary to fully consider the signal transmission performance of the tags to ensure accurate data transmission even when the RFID tags are partially damaged, so as to achieve effective supervision. In the actual production environment, data transmission delays may occur. For example, due to network congestion, insufficient equipment performance and other reasons, the tag data cannot be transmitted to the management system in time. It is necessary to adopt efficient data transmission protocols and network architectures, such as industrial Ethernet, and optimize network equipment to reduce data transmission delays. The information in the production process is dynamically changing, such as the processing status of the product, quality inspection results, etc. It is necessary to establish a complete data update mechanism to ensure that the data in the RFID tags can reflect the actual production situation in a timely and accurate manner.

[0191] In summary, the advantages of the present invention are: real-time monitoring of the process flow is achieved through RFID tags, the convenience of tracing the product production process is improved, the importance of the process flow in the production process is refined, the entire manufacturing process can be supervised from a macro level, and the production rate of each production line can be adjusted in time. By improving the professional skills training of important process flow personnel, the production process can be kept stable, production costs can be reduced, the qualified rate of finished products can be improved, and production efficiency can be improved.

[0192] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for monitoring the entire manufacturing process based on tracking RFID tags, characterized in that: include: Collect production information, determine the information of materials to be processed, generate and analyze production process information, and obtain process sequence information; Generate the products to be processed based on the information of materials to be processed, production process information and process sequence information, and obtain the proficiency rating of the operation process; Assign production line tasks based on operational process proficiency ratings; An RFID tag is set on the product to be processed, and the RFID tag is used to store the basic material information of the material to be processed and the current process information of the product to be processed; According to the RFID tag, the current process information of the product to be processed is obtained, the process sequence information to be tested is obtained, the real-time product margin is obtained, and the objective function is established; Based on the products to be processed, process sequence information of qualified products is obtained and recorded as standard process sequence information; Compare the process sequence information to be tested with the standard process sequence information to obtain process sequence abnormality data, and record the product to be processed corresponding to the process sequence abnormality data as a product with abnormal processing information; Acquire and analyze the RFID tag information of products with abnormal processing information to obtain abnormal process flow information; According to the abnormal process flow information, factors causing the abnormal process flow information are obtained and recorded as abnormal factors; Based on the standard process sequence information and abnormal process flow information, weights are assigned to abnormal factors; The weight values ​​of abnormal factors are combined with the objective function to generate a mixed integer linear programming model; Based on the mixed integer linear programming model, the production process of the product is supervised and adjusted; The establishing of the objective function specifically includes: Based on RFID tags, obtain the time when the product to be processed enters the process flow and the time when it leaves the process flow; Determine the time that the product to be processed spends in each process flow according to the time when the product to be processed enters the process flow and the time when it leaves the process flow; According to the process sequence information to be tested, the process input rate and process output rate of each process are obtained; Determine the output efficiency of each process flow according to the process flow input rate and process flow output rate of each process flow; Establish the objective function based on the process sequence information to be tested and the output efficiency of each process flow ; The specific calculation formula of the objective function is: In the formula, Indicates the total number of process steps that the product to be processed needs to go through. Indicates the process flow The output efficiency, Indicates the process flow Is it executed, if the product to be processed goes through the process flow For processing, , otherwise , Indicates the process flow Real-time product margin, Indicates the process flow Standard product margin, Indicates the process flow The time variable; The factors causing abnormal process information to be obtained specifically include: Obtain production line information of each process flow based on production process information; Read and analyze the RFID tag information of products with abnormal processing information, and obtain the process production line information that the abnormal products have passed through; Obtain abnormal factors based on the production line information of each process flow and the process production line information through which the abnormal products pass; The weighting of abnormal factors specifically includes: The abnormal factors are set up as a matrix, which is recorded as the original data matrix; Standardize the original data matrix to eliminate the influence of different factor dimensions; Assume the original data matrix is , where m is the number of products with abnormal processing information, n is the number of abnormal factors, and a and b are factors of different dimensions; Process the original data matrix through the standardization processing formula to obtain a standardized matrix; The standardization formula is: ； The standardized matrix is ; Determine the weight values ​​of equipment factors according to the standardized matrix; Based on the weight value of the equipment factor, the weight value of the human factor is obtained; The specific calculation formula for the weight value of the equipment factor is: ； The specific calculation formula of the weight value of human factors is: In the formula, Indicates the proficiency rating of the operation process. represents the number of human factors, represents the weight value of human factors, Indicates the weight value of the equipment factor. represents the matrix value after normalization. Indicates the number of products with abnormal processing caused by human factors. Indicates the total number of products with processing abnormalities; The abnormal weight value of the equipment factor and the weight value of the human factor are collectively referred to as the abnormal factor weight value; The generating of the mixed integer linear programming model specifically comprises: Analyze the factors that cause abnormal RFID tag information and determine whether the abnormal factors will cause the information identification equipment to fail to work properly. If so, strengthen supervision of the information identification equipment affected by the abnormal factors and conduct regular inspections and maintenance. If not, further analyze the factors that cause abnormal RFID tag information. Further analyze the results based on abnormal factors to obtain the degree of influence of abnormal factors on each process flow; Assign the impact degree to each process flow based on the abnormal factor weight; Obtain the impact value of each process flow and optimize the objective function; A mixed integer linear programming model is generated according to the optimized objective function.

2. A method for monitoring the entire manufacturing process based on tracking RFID tags according to claim 1, characterized in that: The process of generating products to be processed and obtaining the proficiency rating of the operation process based on the information of the materials to be processed, the production process information and the process sequence information specifically includes: Based on production information, clarify the product's functions, application environment and design goals; Design the system architecture of the product and determine the materials required to produce the product according to the product's functions and application environment; Design the production process that materials need to go through to produce products based on product functions and design goals; According to the system architecture and RFID tag information of the product, the batches of materials required to generate the products to be processed are allocated to each process production line; Collect historical work data of employees operating each process production line, obtain and classify employees' proficiency in the operation process of each production line, and generate employees' proficiency rating for the operation process of each production line; Assign personnel to process production lines based on the employees' proficiency ratings of each production line's operating procedures; Assign production tasks to production line personnel based on the materials and process production line personnel allocated to each process production line.

3. The whole manufacturing process monitoring method based on tracking RFID tags according to claim 2 is characterized in that: The obtaining of real-time product surplus specifically includes: Get real-time time and location information of products to be processed; Based on the standard process sequence information and the location information of the product to be processed, determine whether the process sequence information to be tested is wrong. If so, mark the product to be processed as abnormal process sequence data. If not, further judge the product to be processed; Analyze the products to be processed that have no errors in the process sequence information to be tested, determine whether the products to be processed enter or leave the process flow, and obtain the determination result; Combined with the real-time time, the judgment result is further analyzed. If the product to be processed enters the process flow, the real-time time is entered into the RFID tag as the time of entering the process flow. If the product to be processed leaves the process flow, the real-time time is entered into the RFID tag as the time of leaving the process flow, and the specific production information of the process flow is entered. Through the information reading equipment, the data information of the products to be processed leaving the process flow is obtained, and the real-time product surplus of each process flow production line is obtained; According to the operator's proficiency in each production line process, obtain the standard product margin of the process production line; Compare the standard product margin of the process production line with the real-time product margin of the process production line, and make real-time adjustments to the process production line personnel.

4. The whole manufacturing process monitoring method based on tracking RFID tags according to claim 3 is characterized in that: The obtaining of process sequence abnormality data specifically includes: Read the process sequence information of the product from the RFID tag through the information reading device; According to the standard process sequence information, the product process sequence information read from the RFID tag is evaluated to obtain abnormal process sequence information; Compare the abnormal process sequence information with the standard process sequence information to obtain abnormal type information; According to the exception type information, the exception type is determined. If the exception type is missing process flow, the product is processed with the missing process flow. If the exception type is scrap, the scrapped product is further analyzed.

5. The whole manufacturing process monitoring method based on tracking RFID tags according to claim 4 is characterized in that: The further analysis of scrapped products specifically includes: According to the process flow information of the scrapped products, obtain the process information through which the scrapped products have passed; Analyze the process information of scrapped products and obtain reusable product materials; According to the reusable product materials, the scrapped products are disassembled to obtain reusable materials and non-reusable materials; Clear the RFID tag information of the disassembled reusable materials, re-enter the basic information of the materials, and transport them to the production line; Unified processing of non-reusable materials, entry of product scrapping information into RFID tags, and real-time monitoring of the movement of non-reusable materials.

6. A manufacturing full process monitoring system based on tracking RFID tags, used to implement the manufacturing full process monitoring method based on tracking RFID tags as described in any one of claims 1 to 5, characterized in that: Specifically include: An information storage module, which is used to store the entered information and is covered inside the RFID tag; An information entry module, wherein the information entry module is used to update the RFID tag information; An information reading module, wherein the information reading module is used to obtain information in the RFID tag; A data analysis module, which is used to analyze the data transmitted by the information reading module, mark and judge abnormal data; A supervision center, which is used to supervise the operation of each process flow according to the location information of the material and regulate the production line of each process flow; An instruction issuing module, which is used to obtain data transmitted by the supervision center and transmit instructions to each process production line; Data middleware, the data middleware is used to obtain the key. When the information reading module wants to obtain the data of the information storage module, it needs to send the key to the data middleware. The data middleware obtains the key from the supervision center and compares it with the key sent by the information reading module. If the key is correct, the information reading module can obtain the data of the information storage module.

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