Digital electronic detonator assembly line process monitoring control system and method

Abstract

The invention discloses a digital electronic detonator assembly line process monitoring control system and method. The system specifically comprises an assembly monitoring platform, a production line operation information acquisition module, a production line working condition analysis module, a product quality analysis module, a comprehensive evaluation module and an early warning regulation and control module. Real-time data detection is carried out on key assembly links in the detonator assembly line, whether the target product on the target assembly line meets the assembly requirement or not is judged according to the obtained assembly information, and influence analysis is carried out on the assembly effect of the target product through the operation deviation degree of the assembly line. Whether the target product is an assembly gauge product or not is judged, quality detection analysis is conducted on the assembly gauge product and an assembly non-compliance product, an assembly optimization coefficient and an assembly influence degree coefficient are obtained through comprehensive analysis, and therefore the operation performance of the target assembly line is evaluated and analyzed. And performing targeted operation regulation and control on a corresponding assembly process according to an evaluation result.

Description

Technical Field

[0001] The present invention relates to the technical field of detonator assembly line monitoring, and more specifically, to a process monitoring and control system and method for a digital electronic detonator assembly line. Background Art

[0002] A digital electronic detonator assembly line is an automated production line for manufacturing digital electronic detonators. The emergence of the digital electronic detonator assembly line marks an important transformation in the direction of automation and intelligence in detonator production. This assembly line integrates multiple advanced technologies such as automatic control, information collection, and on-line detection, realizing the efficient and precise transportation of detonator shells, automatic charging and welding of electronic control modules, and the detection and packaging of final products, aiming to solve the problems of dense personnel, high danger, and unstable product quality existing in the traditional detonator assembly process.

[0003] However, during the detonator assembly process, it is necessary to supervise and control the corresponding production line. However, in the actual operation process of the assembly line, it is impossible to reasonably analyze the influence of the production line operation status and product processing quality status, and at the same time, it is also impossible to quickly locate and optimize the control of the production line operation process with problems according to the influence analysis results.

[0004] In view of the above problems, a process monitoring and control system and method for a digital electronic detonator assembly line are proposed. Summary of the Invention

[0005] The present invention provides a process monitoring and control system and method for a digital electronic detonator assembly line, aiming to solve the problems in the prior art that it is impossible to reasonably analyze the influence of the production line operation status and product processing quality status during the operation process of the assembly line, and at the same time, it is also impossible to quickly locate and optimize the control of the production line operation process with problems according to the influence analysis results.

[0006] The object of the present invention can be achieved by the following technical solutions: A process monitoring and control system for a digital electronic detonator assembly line includes an assembly monitoring platform, a production line operation information collection module, a production line working condition analysis module, a product quality analysis module, a comprehensive evaluation module, and an early warning and regulation module; The assembly monitoring platform marks the corresponding digital electronic detonator assembly line as the target assembly line, marks the detonator products to be processed as the target products, and sets a monitoring period; The production line operation information collection module is used to obtain the assembly information of the target assembly line, and send the assembly information to the production line working condition analysis module through the assembly monitoring platform; the production line working condition analysis module determines whether the target products meet the standard assembly requirements on the target assembly line according to the assembly information, and divides the target products into qualified assembly products or unqualified assembly products according to the determination results; The product quality analysis module is used to conduct quality inspection and analysis on compliant assembled products and non-compliant assembled products, and classify compliant assembled products and non-compliant assembled products into qualified products or unqualified products in quality inspection; The comprehensive evaluation module obtains the assembly optimization coefficient and the assembly impact degree coefficient according to the compliant assembled products, non-compliant assembled products, and the corresponding number of qualified products in quality inspection, and accordingly evaluates and analyzes the operating performance of the target assembly line, and sends the generated production line optimization signal and the assembly line to be optimized to the warning and control module; After receiving the production line optimization signal, the warning and control module obtains the assembly information of the non-compliant assembled products on the assembly line to be optimized, locates the assembly problem link, and makes an optimization and control decision.

[0007] As a preferred embodiment of the present invention, the process of obtaining the assembly information includes: collecting the shell conveying deviation value, detonator charge deviation value, and detonator welding deviation value of the target product on the corresponding target assembly line through the production line operation information collection module. The shell conveying deviation value represents the data value of the maximum deviation degree of the shell feeding and conveying position corresponding to the standard position within the monitoring period, and the detonator charge deviation value represents the data value of the maximum deviation degree of the actual conveyed charge amount into the detonator corresponding to the standard charge amount; The detonator welding deviation value is obtained by data normalization processing of the welding temperature deviation value, welding pressure deviation value, and welding position deviation value. The welding temperature deviation value and welding pressure deviation value respectively represent the data values of the maximum deviation degrees of the actual welding temperature and actual welding pressure corresponding to the standard welding temperature and standard welding pressure, and the welding position deviation value represents the data value of the maximum deviation degree of the actual welding depth of the ignition element inserted into the detonator corresponding to the standard depth position.

[0008] As a preferred embodiment of the present invention, the specific process of determining whether the target product meets the standard assembly requirements on the target assembly line includes: comparing the shell conveying deviation value, detonator charge deviation value, and detonator welding deviation value with the corresponding preset standard thresholds respectively, determining whether the current target product meets the standard assembly requirements on the target assembly line, and classifying the target product into a compliant assembled product or a non-compliant assembled product.

[0009] As a preferred embodiment of the present invention, the specific process of conducting quality inspection and analysis on compliant assembled products and non-compliant assembled products includes: obtaining the appearance defect characteristic value, resistance value, and current response value of the compliant assembled products, and comparing them with the preset standard ranges respectively to determine whether the corresponding compliant assembled products are qualified products or unqualified products in quality inspection. Similarly, determine whether the corresponding non-compliant assembled products are qualified products or unqualified products in quality inspection.

[0010] As a preferred embodiment of the present invention, the specific operation process of the comprehensive evaluation module includes: obtaining the numbers of compliant products and non-compliant products in the monitoring period, and marking the ratio between the number of non-compliant products and the number of compliant products as the assembly optimization coefficient; Obtaining the number of quality-inspected qualified products among all compliant products, marking the ratio between the number of quality-inspected qualified products and the total number of compliant products as the qualified product pass rate of compliant products, obtaining the number of quality-inspected qualified products among all non-compliant products, marking the ratio between the number of quality-inspected qualified products and the total number of non-compliant products as the qualified product pass rate of non-compliant products, and marking the ratio between the qualified product pass rate of non-compliant products and the qualified product pass rate of compliant products as the assembly impact degree coefficient; Comparing the assembly optimization coefficient and the assembly impact degree coefficient with their corresponding coefficient thresholds respectively to generate a production line optimization signal and a production line maintenance signal, and marking the target assembly line corresponding to the production line optimization signal as the assembly line to be optimized.

[0011] As a preferred embodiment of the present invention, the specific operation process of the early warning and regulation module includes: obtaining a plurality of non-compliant products corresponding to the assembly line to be optimized, retrieving the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value of the plurality of non-compliant products, respectively calculating the average values of the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value, and marking them as the shell conveying influence value, detonator welding influence value, and detonator charging influence value, comparing the numerical values of the shell conveying influence value, detonator welding influence value, and detonator charging influence value, taking the order of the influence values from large to small as the characteristic data of different levels of assembly defect influence from high to low, and positioning the assembly problem link and performing different levels of optimization and regulation processing according to the characteristic data.

[0012] The present invention also proposes a method for monitoring and controlling the process of a digital electronic detonator assembly line, including the following steps: Step 1: Obtain the assembly information of the target assembly line, thereby determining whether the target product meets the standard assembly requirements on the target assembly line, and classifying the target product into compliant products or non-compliant products; Step 2: Conduct quality inspection and analysis on compliant products and non-compliant products to determine whether they are quality-inspected qualified products; Step 3: Obtain the assembly optimization coefficient and the assembly impact degree coefficient, evaluate and analyze the operating performance of the target assembly line, and when it is determined that the operation of the target assembly line does not meet the production requirements, mark the target assembly line as the assembly line to be optimized; Step 4: Obtain the assembly information of non-compliant products on the assembly line to be optimized, locate the assembly problem link, and make a decision on optimization and regulation processing.

[0013] Compared with the prior art, the advantages of the present invention are: 1. This solution performs real-time data detection on multiple key assembly links in the detonator assembly line. The acquired assembly information is used to determine whether the target product meets the standard assembly requirements on the target assembly line. The impact of the assembly line operation deviation on the assembly effect of the detonator product is analyzed to determine whether the target product is an assembly-compliant product. After assembly, quality inspection and analysis are performed on assembly-compliant and assembly-non-compliant products. Through comprehensive analysis, the assembly optimization coefficient and assembly impact coefficient are obtained. Based on this, the overall operating performance of the target assembly line is evaluated and analyzed, and the corresponding assembly process is targeted and regulated based on the evaluation results. 2. This solution also uses the early warning and control module to obtain the assembly information of multiple non-compliant products on the assembly line to be optimized, calculates the impact value of shell and tube transportation, the impact value of detonator welding, and the impact value of detonator charging, and uses the order of the impact values from large to small as the characteristic data of the impact of different levels of assembly defects from high to low. Based on the characteristic data, the assembly problem links are located, the assembly line process is continuously optimized, and intelligent supervision and operation maintenance of the assembly line are realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a system principle block diagram of the present invention; Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making creative work shall fall within the scope of protection of the present invention.

[0016] Example 1: The present invention discloses a digital electronic detonator assembly line process monitoring and control system, please refer to Figure 1 , including assembly monitoring platform, production line operation information collection module, production line working condition analysis module, product quality analysis module, comprehensive evaluation module and early warning control module; The assembly monitoring platform marks the corresponding digital electronic detonator assembly line as the target assembly line, marks the detonator products used for processing as the target products, and sets a monitoring cycle.

[0017] The production line operation information acquisition module is used to obtain the assembly information of the target assembly line, and send the assembly information to the production line working condition analysis module through the assembly monitoring platform. By performing real-time data detection on multiple key assembly links in the detonator assembly line, it is possible to comprehensively grasp multiple main key assembly processes, so as to intelligently monitor the operation status of the overall assembly line; Among them, the process of obtaining the assembly information of the target assembly line includes: collecting the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value of the target product on the corresponding target assembly line through the production line operation information acquisition module; The shell conveying deviation value represents the data value of the maximum deviation degree of the shell feeding and conveying position corresponding to the standard position within the monitoring period. Photoelectric sensors are installed at multiple key positions in the shell conveying channel. When the shell passes by, the sensor can detect the position of the shell, and the deviation between the actual position of the shell detected by the sensor and the preset standard position (the center line of the conveyor belt) can be obtained; The detonator charging deviation value represents the data value of the maximum deviation degree of the actual conveyed charge amount into the detonator corresponding to the standard charge amount. High-precision electronic scales are installed before and after the charging process to calculate and obtain the actual charge amount; The detonator welding deviation value is obtained by data normalization processing of the welding temperature deviation value, welding pressure deviation value, and welding position deviation value. The welding temperature deviation value and welding pressure deviation value respectively represent the data values of the maximum deviation degrees of the actual welding temperature and actual welding pressure corresponding to the standard welding temperature and standard welding pressure. The welding position deviation value represents the data value of the maximum deviation degree of the actual welding depth of the ignition element inserted into the detonator corresponding to the standard depth position. A temperature sensor, a pressure sensor, and a displacement sensor are installed near the welding device. The temperature sensor is used to detect the temperature of the welding point, the pressure sensor is used to monitor the pressure distribution during the welding process, and the displacement sensor is used to detect the position of the welding point; Through the formula LHp = α×Wp + β×Yp + γ×WIp, the welding temperature deviation value Wp, welding pressure deviation value Yp, and welding position deviation value WIp are calculated to obtain the detonator welding deviation value LHp. Among them, α, β, and γ are the preset weight coefficients of the welding temperature deviation value Wp, welding pressure deviation value Yp, and welding position deviation value WIp respectively, and 1 < α < β < γ. The larger the value of the detonator welding deviation value LHp, the greater the deviation degree of the actual welding data compared with the standard welding data in the welding link of the corresponding target assembly line; Similarly, the larger the shell conveying deviation value and the detonator charging deviation value are, the greater the deviation degree of the actual shell position conveying data compared with the standard conveying data in the shell conveying link of the corresponding target assembly line, and the greater the deviation degree of the actual charge amount compared with the standard charge amount in the detonator charging link of the corresponding target assembly line. When the shell conveying deviation value, the detonator charging deviation value, and the detonator welding deviation value are larger, the greater the negative impact on the assembly relative to the overall assembly line, and the worse the assembly accuracy. On the contrary, when the shell conveying deviation value, the detonator charging deviation value, and the detonator welding deviation value are all small, it indicates that each key assembly process of the target assembly line meets the standard assembly requirements better, and the assembly accuracy is better.

[0018] After receiving the assembly information, the production line working condition analysis module determines whether the target product meets the standard assembly requirements on the target assembly line according to the assembly information, and classifies the target product into a qualified assembly product or an unqualified assembly product according to the determination result. Among them, the specific process of determining whether the target product meets the standard assembly requirements on the target assembly line includes: Compare the shell conveying deviation value, the detonator charging deviation value, and the detonator welding deviation value with the corresponding preset standard thresholds respectively. When the shell conveying deviation value, the detonator charging deviation value, and the detonator welding deviation value do not exceed the corresponding preset standard thresholds, it is determined that the current target product meets the standard assembly requirements on the target assembly line, and the target product is classified as a qualified assembly product, indicating that the target product meets the standard assembly requirements in each assembly link of the target assembly line. Otherwise, it is determined that the current target product does not meet the standard assembly requirements on the target assembly line, and the target product is classified as an unqualified assembly product.

[0019] The product quality analysis module is used to conduct quality inspection and analysis on qualified assembly products and unqualified assembly products, and classify qualified assembly products and unqualified assembly products into qualified quality inspection products or unqualified quality inspection products. The specific process of product quality inspection includes: The product quality analysis module obtains the appearance defect characteristic value, resistance value, and current response value of the qualified assembly product. Among them, the appearance defect characteristic value is obtained by using an image detection device to collect the pixel grid image of the product, performing gray-scale transformation on the product pixel grid image, calculating the difference between the gray-scale value and the preset gray-scale threshold, and marking it as the appearance defect characteristic value. The resistance value is directly measured by a high-precision digital multimeter, and the current response value is the magnitude of the current response measured when a certain voltage is applied to the detonator. When the appearance defect characteristic value, resistance value, and current response value are all within the preset standard range, it is determined that the corresponding compliant assembled product is a qualified product in quality inspection; otherwise, it is determined that the corresponding compliant assembled product is an unqualified product in quality inspection. Similarly, obtain the appearance defect characteristic value, resistance value, and current response value of the non-compliant assembled product. When the appearance defect characteristic value, resistance value, and current response value are all within the preset standard range, it is determined that the corresponding non-compliant assembled product is a qualified product in quality inspection; otherwise, it is determined that the corresponding non-compliant assembled product is an unqualified product in quality inspection.

[0020] Based on the number of compliant assembled products, non-compliant assembled products, and the corresponding qualified products in quality inspection, the comprehensive evaluation module obtains the assembly optimization coefficient and the assembly impact degree coefficient, and accordingly evaluates and analyzes the operating performance of the target assembly line. The specific process includes: Obtain the number of compliant assembled products and non-compliant assembled products within the monitoring period. Mark the ratio between the number of non-compliant assembled products and the number of compliant assembled products as the assembly optimization coefficient. The larger the number of non-compliant assembled products, the larger the assembly optimization coefficient, indicating that the target assembly line requires a greater degree of optimization. Obtain the number of qualified products in quality inspection among all compliant assembled products. Mark the ratio between the number of qualified products in quality inspection and the total number of compliant assembled products as the qualified product pass rate. The larger the value of the qualified product pass rate, the higher the pass rate when the target product is assembled in compliance with regulations in each key assembly process. Obtain the number of qualified products in quality inspection among all non-compliant assembled products. Mark the ratio between the number of qualified products in quality inspection and the total number of non-compliant assembled products as the non-compliant product pass rate. The non-compliant product pass rate indicates the pass rate of the target product when it is not assembled in compliance with regulations in each key assembly process. In theory, the non-compliant product pass rate is much lower than the compliant product pass rate. Mark the ratio between the non-compliant product pass rate and the compliant product pass rate as the assembly impact degree coefficient. The larger the assembly impact degree coefficient, the greater the negative impact of the non-compliant operation in the assembly process on the product pass rate. Compare the assembly optimization coefficient and the assembly impact degree coefficient with the corresponding coefficient thresholds respectively. The determination of the coefficient thresholds is based on the data mean obtained through training with a large number of data dimensions. When the assembly optimization coefficient is greater than or equal to the assembly optimization coefficient threshold or the assembly impact degree coefficient is greater than or equal to the assembly impact degree coefficient threshold, it is determined that the operation of the target assembly line does not meet the production requirements. Mark the target assembly line as an assembly line to be optimized and generate a production line optimization signal. When the assembly optimization coefficient is less than the assembly optimization coefficient threshold and the assembly impact degree coefficient is less than the assembly impact degree coefficient threshold, it is determined that the operation of the assembly line meets the production requirements. Mark the target assembly line as a qualified assembly line and generate a production line maintenance signal; Based on the comprehensive analysis of the assembly optimization coefficient and the assembly influence degree coefficient, the overall operating performance of the target assembly line is evaluated and analyzed, and the generated production line optimization signal and the assembly line to be optimized are sent to the early warning and control module.

[0021] Embodiment 2: On the basis of Embodiment 1, this embodiment adds an early warning and control module that is signal-connected to the comprehensive evaluation module. After receiving the production line optimization signal, the early warning and control module obtains the assembly information of non-compliant assembled products on the assembly line to be optimized, locates the assembly problem links, and makes optimization control processing decisions; The specific operation process of the early warning and control module includes: obtaining multiple non-compliant assembled products corresponding to the assembly line to be optimized, retrieving the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value of the multiple non-compliant assembled products, respectively calculating the average values of the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value, and marking them as the shell conveying influence value, detonator welding influence value, and detonator charging influence value; Compare the values of the shell conveying influence value, detonator welding influence value, and detonator charging influence value. Use the order of the influence values from large to small as the characteristic data of different levels of assembly defect influence from high to low. Locate the assembly problem links according to the characteristic data, and perform optimization control processing at different levels to conduct targeted operation control on the corresponding assembly process based on the evaluation results. By continuously optimizing the assembly line process, intelligent supervision and operation maintenance of the assembly line are realized.

[0022] Combining Embodiment 1 and Embodiment 2, the present invention also proposes a method for monitoring and controlling the process of a digital electronic detonator assembly line. Please refer to Figure 2 , including the following steps: Step 1: Obtain the assembly information of the target assembly line, thereby determine whether the target product meets the standard assembly requirements on the target assembly line, and classify the target product as a compliant assembled product or a non-compliant assembled product; Step 2: Conduct quality inspection and analysis on the compliant assembled products and non-compliant assembled products, obtain the appearance defect characteristic values, resistance values, and current response values of the compliant assembled products and non-compliant assembled products, and comprehensively determine whether the inspected products are qualified inspection products; Step 3: Obtain the assembly optimization coefficient and the assembly influence degree coefficient, evaluate and analyze the operating performance of the target assembly line. When it is determined that the operation of the target assembly line does not meet the production requirements, mark the target assembly line as the assembly line to be optimized; Step 4: According to the number of compliant assembled products, non-compliant assembled products, and the corresponding qualified inspection products, obtain the assembly information of the non-compliant assembled products on the assembly line to be optimized, locate the assembly problem links, and make optimization control processing decisions.

[0023] In summary, real-time data detection is carried out on multiple key assembly links in the detonator assembly line, and the obtained assembly information is used to determine whether the target product meets the standard assembly requirements on the target assembly line. The influence analysis of the assembly effect of the detonator product is carried out through the degree of deviation of the assembly line operation, so as to judge whether the target product is a qualified assembled product, and the quality inspection and analysis of the qualified assembled product and the unqualified assembled product after assembly are carried out. The assembly optimization coefficient and the assembly influence degree coefficient are obtained through comprehensive analysis, and the overall operation performance of the target assembly line is evaluated and analyzed accordingly; When it is determined that the operation of the target assembly line does not meet the production requirements, the target assembly line is marked as an assembly line to be optimized, the assembly information of the unqualified assembled product relative to the assembly line to be optimized is obtained, the influence value of shell conveying, the influence value of detonator welding and the influence value of detonator charging are calculated and obtained, and the order of the influence values from large to small is used as the characteristic data of different levels of assembly defect influence from high to low. According to the characteristic data, the assembly problem links are located, and the assembly line process is continuously optimized to realize the intelligent supervision and operation maintenance of the assembly line.

[0024] The above is only a preferred specific embodiment of the present invention; however, the protection scope of the present invention is not limited thereto; any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its improved concept, makes equivalent substitution or change, and should be covered by the protection scope of the present invention.

Claims

1. A process monitoring and control system for a digital electronic detonator assembly line, characterized in that: It includes an assembly monitoring platform, a production line operation information collection module, a production line working condition analysis module, a product quality analysis module, a comprehensive evaluation module, and a warning and control module; The assembly monitoring platform marks the corresponding digital electronic detonator assembly line as the target assembly line, marks the detonator products to be processed as the target products, and sets a monitoring period; The production line operation information collection module is used to obtain the assembly information of the target assembly line and send the assembly information to the production line working condition analysis module through the assembly monitoring platform; the production line working condition analysis module determines whether the target products meet the standard assembly requirements on the target assembly line according to the assembly information, and divides the target products into compliant assembly products or non-compliant assembly products according to the determination results; The product quality analysis module is used to conduct quality inspection and analysis on the compliant assembly products and non-compliant assembly products, and divides the compliant assembly products and non-compliant assembly products into qualified quality inspection products or unqualified quality inspection products; The comprehensive evaluation module obtains the assembly optimization coefficient and the assembly influence degree coefficient according to the number of compliant assembly products, non-compliant assembly products, and the corresponding qualified quality inspection products, evaluates and analyzes the operation performance of the target assembly line based on this, and sends the generated production line optimization signal and the assembly line to be optimized to the warning and control module; After receiving the production line optimization signal, the warning and control module obtains the assembly information of the non-compliant assembly products on the assembly line to be optimized, locates the assembly problem links, and makes optimization control processing decisions.

2. The process monitoring and control system for a digital electronic detonator assembly line according to claim 1, wherein: The process of obtaining the assembly information includes: collecting the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value of the target product on the corresponding target assembly line through the production line operation information collection module. The shell conveying deviation value represents the data quantity value of the maximum deviation degree of the shell feeding and conveying position corresponding to the standard position within the monitoring period. The detonator charging deviation value represents the data quantity value of the maximum deviation degree of the actual conveyed charge amount into the detonator corresponding to the standard charge amount; The detonator welding deviation value is obtained by data normalization processing of the welding temperature deviation value, welding pressure deviation value, and welding position deviation value. The welding temperature deviation value and welding pressure deviation value respectively represent the data quantity values of the maximum deviation degrees of the actual welding temperature and actual welding pressure corresponding to the standard welding temperature and standard welding pressure. The welding position deviation value represents the data quantity value of the maximum deviation degree of the actual welding depth of the ignition element inserted into the detonator corresponding to the standard depth position.

3. The process monitoring and control system for a digital electronic detonator assembly line according to claim 2, wherein: The specific process of determining whether the target products meet the standard assembly requirements on the target assembly line includes: comparing the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value with the corresponding preset standard thresholds respectively, determining whether the current target products meet the standard assembly requirements on the target assembly line, and dividing the target products into compliant assembly products or non-compliant assembly products.

4. The process monitoring and control system for a digital electronic detonator assembly line according to claim 3, wherein: The specific process of quality inspection and analysis for compliant assembled products and non-compliant assembled products includes: obtaining the appearance defect characteristic values, resistance values, and current response values of compliant assembled products, and comparing them with the preset standard ranges respectively to determine whether the corresponding compliant assembled products are qualified or unqualified in quality inspection. Similarly, determine whether the corresponding non-compliant assembled products are qualified or unqualified in quality inspection.

5. The process monitoring and control system for a digital electronic detonator assembly line according to claim 4, characterized in that: The specific operation process of the comprehensive evaluation module includes: obtaining the numbers of compliant assembled products and non-compliant assembled products within the monitoring period, and marking the ratio between the number of non-compliant assembled products and the number of compliant assembled products as the assembly optimization coefficient; obtaining the number of qualified products in quality inspection among all compliant assembled products, marking the ratio between the number of qualified products in quality inspection and the total number of compliant assembled products as the qualified product pass rate of compliant assembled products, obtaining the number of qualified products in quality inspection among all non-compliant assembled products, marking the ratio between the number of qualified products in quality inspection and the total number of non-compliant assembled products as the qualified product pass rate of non-compliant assembled products, and marking the ratio between the qualified product pass rate of non-compliant assembled products and the qualified product pass rate of compliant assembled products as the assembly influence degree coefficient; comparing the assembly optimization coefficient and the assembly influence degree coefficient with the corresponding coefficient thresholds respectively to generate a production line optimization signal and a production line maintenance signal, and marking the target assembly line corresponding to the production line optimization signal as the assembly line to be optimized.

6. The process monitoring and control system for a digital electronic detonator assembly line according to claim 5, wherein: The specific operation process of the warning and regulation module includes: obtaining multiple non-compliant assembled products corresponding to the assembly line to be optimized, retrieving the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value of the multiple non-compliant assembled products, calculating the average values of the shell conveying deviation value, detonator charging deviation value, and detonator welding deviation value respectively, and marking them as the shell conveying influence value, detonator welding influence value, and detonator charging influence value. Comparing the shell conveying influence value, detonator welding influence value, and detonator charging influence value numerically, taking the order of the influence values from large to small as the characteristic data of different levels of assembly defect influence from high to low, and positioning the assembly problem link and performing different levels of optimization and regulation processing according to the characteristic data.

7. A method for monitoring and controlling the process of a digital electronic detonator assembly line, which uses a process monitoring and control system for a digital electronic detonator assembly line as described in any one of claims 1-6, characterized in that, It includes the following steps: Step 1: Obtain the assembly information of the target assembly line to determine whether the target product meets the standard assembly requirements on the target assembly line, and classify the target product into a compliant assembled product or a non-compliant assembled product; Step 2: Conduct quality inspection and analysis on compliant assembled products and non-compliant assembled products to determine whether they are qualified products in quality inspection; Step 3: Obtain the assembly optimization coefficient and the assembly influence degree coefficient, evaluate and analyze the operating performance of the target assembly line. When it is determined that the operation of the target assembly line does not meet the production requirements, mark the target assembly line as the assembly line to be optimized; Step 4: Obtain the assembly information of the non-compliant assembled products on the assembly line to be optimized, locate the assembly problem link, and make a decision on optimization and regulation processing.

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