A punch press data analysis method and system for photovoltaic production

Abstract

The present invention relates to the technical field of production supervision, and specifically discloses a punch press data analysis method and system for photovoltaic production. The method comprises: based on the acquired process parameter data sets of each punch press, screening punch presses that can be put into production, based on the acquired real-time operation status data sets of each punch press that can be put into production, real-time fault monitoring of each punch press that can be put into production, evaluating the quality of each photovoltaic production product produced by the punch press that can be put into production, and screening qualified photovoltaic production products. The present invention solves the problem that the existing punch press data analysis for photovoltaic production fails to match the photovoltaic production products required with the punch press, and then the punch press that can be put into production is screened, which may lead to frequent replacement of punches or adjustment of punch press parameters during the production process, thereby affecting the production efficiency. The present invention helps to select a suitable punch press according to product requirements, ensure the stability of product quality during the production process, ensure the stability of the production plan, and improve the controllability of the production schedule and delivery period.

Description

Technical Field

[0001] The present invention relates to the technical field of production supervision, and in particular to a punch press data analysis method and system for photovoltaic production. Background Art

[0002] With the increasing awareness of environmental protection and the growth of energy demand, the photovoltaic industry has developed rapidly around the world. As one of the key equipment in photovoltaic production, the punch press plays an important role in the production process of photovoltaic modules. With the continuous development of information technology, the amount of data generated in the industrial production process continues to increase. Using this data for analysis and mining can help companies optimize production processes and improve production efficiency and quality. Intelligent manufacturing is the current development trend of the manufacturing industry. Through technologies such as data analysis and machine learning, the intelligent management and optimization of the production process can be achieved, which can improve production efficiency, reduce costs, and improve product quality.

[0003] For example, the invention patent with announcement number CN117078113B discloses an outdoor battery production quality management system based on data analysis, including a quality management platform, a performance detection and analysis module, a supervision rationality assessment module, an equipment management and control analysis module, and an environmental control detection and analysis module; the present invention can effectively detect outdoor batteries and accurately and reasonably assess their quality status by analyzing to determine whether the target battery is a qualified battery or a non-standard battery, and analyzes the material scrap data and battery performance judgment information in the outdoor battery production process to determine its production rationality, and has the function of diagnosing the cause of the abnormality and providing feedback when the production rationality is judged to be abnormal, which is beneficial for managers of outdoor battery production lines to conduct production supervision and adjust subsequent management measures, effectively improving the product quality of outdoor batteries and reducing the difficulty of production management.

[0004] For example, the invention patent with announcement number CN109086999B discloses a remote data acquisition and analysis system for a filling production line and its abnormal analysis method, which includes a data acquisition terminal for real-time online acquisition of production characteristic data, a data center server for transmitting and storing production characteristic data, and a data acquisition and analysis system remote client for processing production characteristic data. The data acquisition and analysis system remote client reads the production characteristic data from the data center server and analyzes it; the data acquisition and analysis system remote client includes a user login and management module, a real-time monitoring module for equipment parameters, an online data analysis module, an expert meeting module, a filling site video monitoring module, and a production query module. The system collects data from each working link of the filling production line, and can remotely and comprehensively monitor the production process on the filling production line in real time. At the same time, the system can also perform online data analysis on the quality of the filled products, which is conducive to improving the product qualification rate and quality and saving fault diagnosis costs.

[0005] Nowadays, there are still some shortcomings in the research on a punch press data analysis method and system for photovoltaic production. Specifically, the existing punch press data analysis for photovoltaic production does not match the products to be produced with the punch press, and then screen the punch presses that can be put into production. This may lead to frequent replacement of punches or adjustment of punch press parameters during the production process, thereby affecting production efficiency and increasing production costs. Different products may have different requirements for punch presses. If they are not matched, it may lead to unstable product quality and difficulty in achieving unified quality control standards. It may also lead to unreasonable use of the punch press, aggravating equipment wear and damage and increasing maintenance costs. If the punch presses that can be put into production are not matched and screened, it may lead to instability of the production plan and affect production progress and delivery time. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a punch press data analysis method and system for photovoltaic production, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a punch press data analysis method for photovoltaic production, comprising the following steps: obtaining a data set of process parameters of each punch press, and based on the obtained data set of process parameters of each punch press, screening the punch presses that can be put into production, wherein the data set of process parameters of each punch press specifically includes the stroke frequency of each punch press, the maximum load of each punch press, and the energy consumption efficiency of each punch press; obtaining a real-time operating status data set of each punch press that can be put into production, and based on the obtained real-time operating status data set of each punch press that can be put into production, performing real-time fault monitoring on each punch press that can be put into production; obtaining a quality data set of each photovoltaic production product produced by the punch press that can be put into production, and based on the obtained quality data set of each photovoltaic production product produced by the punch press that can be put into production, evaluating the quality of each photovoltaic production product produced by the punch press that can be put into production, and screening qualified photovoltaic production products.

[0008] As a further method, based on the obtained data sets of process parameters of each punch press, the punch presses that can be put into production are screened. The specific analysis process is: based on the obtained data sets of process parameters of each punch press, a comprehensive analysis is performed to obtain the evaluation values ​​of the process parameters of each punch press, and the evaluation values ​​of the process parameters of each punch press are used as the analysis basis for screening the punch presses that can be put into production; the demand data set for photovoltaic production products is obtained, and the demand data set for photovoltaic production products specifically includes the volume of photovoltaic production products, the total number of photovoltaic production products, and the total production time of photovoltaic production products; the volume of photovoltaic production products, the total number of photovoltaic production products, and the total production time of photovoltaic production products are defined. The designated tag is recorded as a designated tag, and the designated tag is compared with the punching process parameter definition evaluation value corresponding to each designated tag stored in the database to obtain the punching process parameter definition evaluation value corresponding to the designated tag; each punching process parameter evaluation value is compared with the punching process parameter definition evaluation value; if a punching process parameter evaluation value is higher than or equal to the punching process parameter definition evaluation value, the punch corresponding to the punching process parameter evaluation value is marked as a punching machine that can be put into production; if a punching process parameter evaluation value is lower than the punching process parameter definition evaluation value, the punch corresponding to the punching process parameter evaluation value is marked as a punching machine that cannot be put into production.

[0009] As a further method, the real-time operating status data set of each punching machine that can be put into production specifically includes the real-time vibration frequency of each punching machine that can be put into production, the real-time noise decibel of each punching machine that can be put into production, and the real-time punching speed of each punching machine that can be put into production.

[0010] As a further method, based on the acquired real-time operation status data set of each punching machine that can be put into production, real-time fault monitoring is performed on each punching machine that can be put into production. The specific analysis process is: based on the acquired real-time operation status data set of each punching machine that can be put into production, a comprehensive analysis is performed to obtain a real-time operation status evaluation value of each punching machine that can be put into production, and the real-time operation status evaluation value of each punching machine that can be put into production is used as an analysis basis for real-time fault monitoring of each punching machine that can be put into production; the real-time operation status evaluation value of each punching machine that can be put into production is compared with the real-time operation status reference evaluation value of the punching machine that can be put into production stored in the database; if a certain If the real-time operating status evaluation value of the punch press that can be put into production is higher than or equal to the real-time operating status reference evaluation value of the punch press that can be put into production, the real-time operating status of the punch press that can be put into production corresponding to the real-time operating status evaluation value of the punch press that can be put into production is marked as good; if the real-time operating status evaluation value of a punch press that can be put into production is lower than the real-time operating status reference evaluation value of the punch press that can be put into production, the real-time operating status of the punch press that can be put into production corresponding to the real-time operating status evaluation value of the punch press that can be put into production is marked as bad, it is judged that the punch press that can be put into production has a fault, and a fault prompt is issued to the punch press that can be put into production.

[0011] As a further method, the real-time operating status evaluation value of each punching machine that can be put into production is analyzed as follows:

[0012] ;

[0013] In the formula, For the The real-time operating status evaluation value of the punch press that can be put into production, For the The real-time vibration frequency of the punching machine that can be put into production, For the The real-time noise decibel of a punching machine that can be put into production, For the The real-time punching speed of the punching machine that can be put into production, The reference vibration frequency of the punch press that can be put into production is stored in the database. Define the noise decibel level for the punch presses that can be put into production and stored in the database, The reference punching speed of the punching press that can be put into production is stored in the database. is the compensation factor of the real-time vibration frequency of the punching machine that can be put into production. The compensation factor for the real-time noise decibel of the punching machine that can be put into production is set. The compensation factor for the real-time punching speed of the punching machine that can be put into production is set. is the number of each punching machine that can be put into production, , is the total number of punch presses that can be put into production.

[0014] As a further method, the quality data set of each photovoltaic production product that can be put into production punching machine production includes the surface defect ratio of each photovoltaic production product that can be put into production punching machine production, the maximum size deviation value of each photovoltaic production product that can be put into production punching machine production, and the photoelectric conversion efficiency of each photovoltaic production product that can be put into production punching machine production.

[0015] As a further method, based on the obtained quality data set of each photovoltaic production product that can be put into production by the punch press, the quality of each photovoltaic production product that can be put into production by the punch press is evaluated, and qualified photovoltaic production products are screened. The specific analysis process is: based on the obtained quality data set of each photovoltaic production product that can be put into production by the punch press, a comprehensive analysis is performed to obtain the quality evaluation value of each photovoltaic production product that can be put into production by the punch press. The quality evaluation value of each photovoltaic production product that can be put into production by the punch press is used as the analysis basis for evaluating the quality of each photovoltaic production product that can be put into production by the punch press and screening qualified photovoltaic production products; the quality evaluation value of each photovoltaic production product that can be put into production by the punch press is compared with The photovoltaic production product quality reference assessment values ​​of the photovoltaic production products that can be put into production punching machine production stored in the database are compared; if the quality assessment value of a photovoltaic production product that can be put into production punching machine production is higher than or equal to the quality reference assessment value of the photovoltaic production product that can be put into production punching machine production, the photovoltaic production product corresponding to the quality assessment value of the photovoltaic production product that can be put into production punching machine production is marked as a qualified photovoltaic production product; if the quality assessment value of a photovoltaic production product that can be put into production punching machine production is lower than the quality reference assessment value of the photovoltaic production product that can be put into production punching machine production, the photovoltaic production product corresponding to the quality assessment value of the photovoltaic production product that can be put into production punching machine production is marked as an unqualified photovoltaic production product.

[0016] As a further method, the quality assessment value of each photovoltaic production product produced by the production punch can be put into production. The specific analysis process is:

[0017] ;

[0018] In the formula, is the quality assessment value of the nth photovoltaic production product that can be put into production by the punch press, is the surface defect ratio of the nth photovoltaic product that can be put into production by the punch press, is the maximum size deviation value of the nth photovoltaic production product that can be put into production punching machine production, is the photoelectric conversion efficiency of the nth photovoltaic product that can be put into production by the punch press, Define dimensional deviation values ​​for photovoltaic production products stored in the database that can be put into production punching, is the compensation factor for the surface defect ratio of photovoltaic products that can be put into production punching machine, n is the number of each photovoltaic product that can be put into production punching machine, , m is the total number of photovoltaic products that can be put into production by the punch press.

[0019] The second aspect of the present invention provides a punch press data analysis system for photovoltaic production, including a punch press screening module that can be put into production, a real-time fault monitoring module and a qualified photovoltaic production product screening module, wherein: the punch press screening module that can be put into production is used to obtain a data set of process parameters of each punch press, and screen the punch presses that can be put into production based on the obtained data set of process parameters of each punch press; the real-time fault monitoring module is used to obtain a real-time operating status data set of each punch press that can be put into production, and based on the obtained real-time operating status data set of each punch press that can be put into production, real-time fault monitoring is performed on each punch press that can be put into production; the qualified photovoltaic production product screening module is used to obtain a quality data set of each photovoltaic production product produced by the punch press that can be put into production, and based on the obtained quality data set of each photovoltaic production product produced by the punch press that can be put into production, the quality of each photovoltaic production product produced by the punch press that can be put into production is evaluated, and qualified photovoltaic production products are screened.

[0020] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a punch press data analysis method and system for photovoltaic production. By matching the products to be produced with the punch presses and then screening the punch presses that can be put into production, the appropriate punch press can be selected for production, avoiding frequent replacement of punch heads or adjustment of punch press parameters, thereby improving production efficiency and reducing production costs. It is helpful to select appropriate punch presses according to product requirements, ensure stable product quality during the production process, and achieve unified quality control standards. By matching the products to be produced with the punch presses, the punch presses can be used reasonably, reducing unnecessary equipment wear and damage, reducing maintenance costs, and extending equipment life. It can also ensure the stability of the production plan and improve the controllability of the production schedule and delivery time.

[0021] (2) The present invention analyzes the real-time operating status evaluation value of each punching machine that can be put into production, and performs real-time fault monitoring on each punching machine that can be put into production. It can timely discover abnormal conditions and potential faults of the punching machine, give early warnings, and avoid production interruptions or product quality problems caused by faults. It can timely handle the faults of the punching machine, reduce production interruption time, improve production efficiency, and ensure the smooth implementation of the production plan. By real-time monitoring the operating status of the punching machine, it can timely discover faults and perform maintenance, avoid the expansion of faults and equipment damage, reduce maintenance costs, and extend equipment life. It can also ensure the stable operation of the punching machine, avoid product quality problems caused by faults, and improve product quality stability.

[0022] (3) The present invention can ensure that the products meet the standard requirements, improve the stability of product quality, and enhance product competitiveness by evaluating the quality of each photovoltaic product that can be put into production and screening qualified photovoltaic products. By evaluating and screening product quality, product quality problems can be discovered in a timely manner, and inferior and unqualified products can be prevented from entering the market, thereby reducing quality risks and after-sales service costs. By screening qualified products, the generation of unqualified products can be reduced, the scrap rate can be reduced, production efficiency can be improved, and production costs can be reduced. Product quality and brand image can also be improved, consumer trust can be enhanced, and brand reputation can be improved, which helps enterprises stand out in market competition. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0024] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0025] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0026] Figure 3 This is an image of the quality assessment value of photovoltaic production products produced by the production-ready punching machine as a function of the proportion of surface defects of the photovoltaic production products produced by the production-ready punching machine. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] Reference Figure 1 As shown, the first aspect of the present invention provides a punch press data analysis method for photovoltaic production, comprising: obtaining a data set of process parameters of each punch press, and based on the obtained data set of process parameters of each punch press, screening the punch presses that can be put into production.

[0029] Specifically, the process parameter data set of each punch press includes the stroke frequency of each punch press, the maximum load of each punch press, and the energy efficiency of each punch press. The stroke frequency refers to the number of punching times completed by the punch press in unit time. The higher the stroke frequency, the higher the production efficiency of the punch press, and more punching operations can be completed in a shorter time. The maximum load refers to the maximum load or pressure that the punch press can withstand. The punch press needs to withstand the pressure from the punch head when working. The maximum load refers to the maximum pressure value that the punch press can stably withstand, ensuring that the maximum load of the punch press can meet production needs and avoid equipment damage or accidents due to excessive load. Energy efficiency refers to the ratio of energy consumed by the punch press in the production process to the output product. High energy efficiency means that the punch press can effectively utilize energy in the production process, reduce energy waste, reduce production costs, and reduce impact on the environment.

[0030] In a specific embodiment, a high stroke frequency means that the punch press completes more punching times per unit time and has high production efficiency. While keeping the stroke frequency unchanged, if the energy consumption efficiency is also high, that is, the punch press consumes less energy during the production process, then the punch press completes more punching times per unit time, but consumes less energy, and can achieve high-efficiency production. The maximum load of the punch press determines the maximum pressure that the punch press can withstand, which is crucial for completing certain stamping tasks. If the maximum load of the punch press can meet production needs, then a higher production efficiency can be maintained during the working process. At the same time, if the punch press has a high energy consumption efficiency, that is, it consumes less energy during the production process, then even under high load conditions, it can maintain low energy consumption and improve production efficiency.

[0031] Specifically, based on the obtained data sets of process parameters of each punch press, the punch presses that can be put into production are screened, and the specific analysis process is as follows: based on the obtained data sets of process parameters of each punch press, a comprehensive analysis is performed to obtain the evaluation values ​​of the process parameters of each punch press, and the evaluation values ​​of the process parameters of each punch press are used as the analysis basis for screening the punch presses that can be put into production; the demand data set of photovoltaic production products is obtained, and the demand data set of photovoltaic production products specifically includes the volume of photovoltaic production products, the total number of photovoltaic production products, and the total production time of photovoltaic production products; the volume of photovoltaic production products, the total number of photovoltaic production products, and the total production time of photovoltaic production products are recorded as Specify a label, compare the specified label with the punching process parameter definition evaluation value corresponding to each specified label stored in the database, and obtain the punching process parameter definition evaluation value corresponding to the specified label; compare each punching process parameter evaluation value with the punching process parameter definition evaluation value; if a punching process parameter evaluation value is higher than or equal to the punching process parameter definition evaluation value, then mark the punching machine corresponding to the punching process parameter evaluation value as a punching machine that can be put into production; if a punching process parameter evaluation value is lower than the punching process parameter definition evaluation value, then mark the punching machine corresponding to the punching process parameter evaluation value as a punching machine that cannot be put into production.

[0032] It should be explained that the above-mentioned evaluation values ​​of the punching process parameters can not only be obtained by further analysis through the machine learning integrated model, using random forest to combine the prediction results of multiple basic models to obtain more accurate evaluation values ​​of each punching process parameter, but also can be calculated in the following way. The calculation formula of the evaluation value of each punching process parameter is:

[0033] ;

[0034] In the formula, is the x-th punch process parameter evaluation value, is the x-th punch stroke frequency, is the maximum load of the xth punch, is the energy efficiency of the x-th punch press, The reference stroke frequency of the punch press stored in the database, Define the load for the punching machines stored in the database, x is the number of each punching machine, x=1,2,3,…,y, y is the total number of punching machines, and e is a natural constant.

[0035] In a specific embodiment, the evaluation value of each punching machine process parameter is calculated by the stroke frequency of each punching machine, the maximum load of each punching machine, and the energy efficiency of each punching machine. Taking into account the stroke frequency of each punching machine, the maximum load of each punching machine, the energy efficiency of each punching machine and other factors, optimizing the stroke frequency can increase the production speed, maximize the use of the production potential of the equipment, and thus improve production efficiency. Considering the maximum load can ensure that the punching machine operates within the normal operating range, avoid overloading, and improve the safety and reliability of the equipment. Paying attention to energy efficiency can reduce energy waste and reduce production costs. It is also beneficial to reduce environmental impact and improve the sustainable development capabilities of the enterprise. By comprehensively considering these factors, production plans can be better formulated, production tasks and equipment scheduling can be reasonably arranged, order requirements can be maximized, and customer satisfaction can be improved. Optimizing the evaluation value of process parameters helps to control the production process. variables, improve the stability and consistency of product quality, reduce scrap rate, and enhance product competitiveness. By evaluating the process parameters of each punch press, we can better manage equipment resources, rationally allocate production resources, improve resource utilization, and reduce production costs. The stroke frequency is usually determined by the production capacity and working speed of the punch press, which can be obtained through the production specification of the punch press, the equipment parameter table or directly from the equipment manufacturer. The maximum load of the punch press can be obtained through the technical parameters, equipment manual or field test provided by the equipment manufacturer. The energy efficiency of the punch press can be obtained through the energy consumption data provided by the equipment manufacturer, the monitoring data of the energy management system or field test. The reference stroke frequency and defined load of the punch stored in the database can be obtained and stored through the standard parameters provided by the equipment manufacturer, the company's internal equipment management system or production data records.

[0036] In a specific embodiment, based on the comprehensive analysis of the process parameter evaluation values, the applicability and performance of each punch press can be evaluated more accurately, so as to select the punch press that best suits the production needs. By comparing the demand data of the photovoltaic production products with the punch press process parameter definition evaluation values, the suitable punch press can be screened out, which can ensure that the production equipment matches the product demand, thereby improving production efficiency. Selecting a punch press that meets the demand can reduce unnecessary waste and adjustments in the production process, reduce production costs, and improve production efficiency. By comparing the punch press process parameter evaluation values ​​with the punch press process parameter definition evaluation values, the production plan can be better optimized to ensure that the production equipment can meet product demand and improve production efficiency and production quality. Selecting a suitable punch press can reduce problems and risks in the production process, ensure that the production process is stable and efficient, thereby enhancing the competitiveness and sustainable development capabilities of the enterprise.

[0037] In a specific embodiment, by matching the products to be produced with the punch presses and then screening the punch presses that can be put into production, a suitable punch press can be selected for production, avoiding frequent replacement of punches or adjustment of punch press parameters, thereby improving production efficiency and reducing production costs. It is helpful to select a suitable punch press according to product requirements, ensure stable product quality during the production process, and achieve unified quality control standards. By matching the products to be produced with the punch presses, the punch presses can be used reasonably, reducing unnecessary equipment wear and damage, reducing maintenance costs, and extending equipment life. It can also ensure the stability of the production plan and improve the controllability of the production schedule and delivery period.

[0038] A real-time operating status data set of each punching machine that can be put into production is obtained, and based on the obtained real-time operating status data set of each punching machine that can be put into production, real-time fault monitoring is performed on each punching machine that can be put into production.

[0039] Specifically, the real-time operating status data set of each punching machine that can be put into production includes the real-time vibration frequency of each punching machine that can be put into production, the real-time noise decibel of each punching machine that can be put into production, and the real-time punching speed of each punching machine that can be put into production. The real-time vibration frequency of each punching machine that can be put into production refers to the vibration frequency generated by the punching machine during operation. The punching machine will vibrate when working. The monitoring of the vibration frequency can help engineers understand the stability and vibration of the punching machine operation, and timely discover abnormal conditions and make adjustments and maintenance. The real-time noise decibel of each punching machine that can be put into production indicates the noise level generated by the punching machine during operation, usually in decibels. The monitoring of noise decibels can evaluate the operating status and noise level of the punching machine, which helps to protect the hearing health of workers and improve the comfort of the working environment. The real-time punching speed of each punching machine that can be put into production refers to the punching speed of the punching machine when it is working, that is, the number of times the punch impacts the workpiece per unit time. The monitoring of the punching speed can help engineers understand the working efficiency and performance of the punching machine, which helps to adjust the production rhythm and improve production efficiency.

[0040] In a specific embodiment, there is a certain positive correlation between the vibration frequency of the punch press and the noise decibel. When the vibration frequency is higher, it is usually accompanied by a higher noise level. Therefore, by monitoring the vibration frequency, the noise level of the punch press can be preliminarily evaluated to help enterprises control noise pollution and protect the health of employees. The vibration frequency of the punch press may be affected by the punch press speed. A higher punch press speed may cause the punch press vibration frequency to increase, thereby affecting the stability and work efficiency of the punch press. Therefore, monitoring the vibration frequency can help enterprises adjust the punch press speed to maintain the stability and production efficiency of the punch press. The working speed of the punch press may also affect the noise decibel. Usually, a higher punch press speed may be accompanied by a higher noise level. By monitoring the noise decibel, the working status of the punch press can be evaluated to help enterprises adjust the punch press speed to control the noise level.

[0041] Furthermore, based on the acquired real-time operating status data set of each punching machine that can be put into production, real-time fault monitoring is performed on each punching machine that can be put into production. The specific analysis process is: based on the acquired real-time operating status data set of each punching machine that can be put into production, a comprehensive analysis is performed to obtain a real-time operating status evaluation value of each punching machine that can be put into production, and the real-time operating status evaluation value of each punching machine that can be put into production is used as an analysis basis for real-time fault monitoring of each punching machine that can be put into production; the real-time operating status evaluation value of each punching machine that can be put into production is compared with the real-time operating status reference evaluation value of the punching machine that can be put into production stored in the database; if a certain punching machine If the real-time operation status evaluation value of the punch press that can be put into production is higher than or equal to the real-time operation status reference evaluation value of the punch press that can be put into production, the real-time operation status of the punch press that can be put into production corresponding to the real-time operation status evaluation value of the punch press that can be put into production is marked as good; if the real-time operation status evaluation value of a punch press that can be put into production is lower than the real-time operation status reference evaluation value of the punch press that can be put into production, the real-time operation status of the punch press that can be put into production corresponding to the real-time operation status evaluation value of the punch press that can be put into production is marked as bad, it is judged that the punch press that can be put into production has a fault, and a fault prompt is issued to the punch press that can be put into production.

[0042] In a specific embodiment, through real-time monitoring and evaluation, the abnormal state of a punching machine that can be put into production can be discovered in time before the failure occurs, which helps to take timely measures to avoid the expansion of the failure and the adverse effects. Timely discovery and resolution of the failure can reduce production line downtime, improve production efficiency and capacity utilization, and preventive maintenance and accurate diagnosis of failures can avoid production losses and increased maintenance costs caused by failures. According to the results of real-time monitoring, each punching machine that can be put into production can be prioritized and resources can be allocated to make resource utilization more efficient. By timely monitoring and handling of failures, the stability and consistency of the production process can be guaranteed, thereby improving the quality and reliability of the product. Analysis and evaluation based on real-time data can help managers make more accurate and reliable decisions and improve the scientificity and accuracy of production management.

[0043] In a specific embodiment, by analyzing the real-time operating status evaluation value of each punching machine that can be put into production, real-time fault monitoring is performed on each punching machine that can be put into production, so that abnormal conditions and potential faults of the punching machine can be discovered in time, early warnings can be given, and production interruptions or product quality problems caused by faults can be avoided. The faults of the punching machine can be handled in time, the production interruption time can be reduced, the production efficiency can be improved, and the smooth implementation of the production plan can be ensured. By real-time monitoring of the operating status of the punching machine, faults can be discovered in time and maintenance can be performed to avoid the expansion of faults and equipment damage, reduce maintenance costs, and extend equipment life. It can also ensure the stable operation of the punching machine, avoid product quality problems caused by faults, and improve product quality stability.

[0044] It should be explained that the above-mentioned real-time operating status evaluation values ​​of each punching machine that can be put into production can not only be obtained by further analysis through the machine learning integration model, using integration methods such as Gradient Boosting Machine or random forest to combine the prediction results of multiple basic models to obtain more accurate real-time operating status evaluation values ​​of each punching machine that can be put into production, but also can be calculated in the following way. The calculation formula for the real-time operating status evaluation value of each punching machine that can be put into production is:

[0045] ;

[0046] In the formula, For the The real-time operating status evaluation value of the punch press that can be put into production, For the The real-time vibration frequency of the punching machine that can be put into production, For the The real-time noise decibel of a punching machine that can be put into production, For the The real-time punching speed of the punching machine that can be put into production, The reference vibration frequency of the punch press that can be put into production is stored in the database. Define the noise decibel level for the punch presses that can be put into production and stored in the database, The reference punching speed of the punching press that can be put into production is stored in the database. is the compensation factor of the real-time vibration frequency of the punching machine that can be put into production. The compensation factor for the real-time noise decibel of the punching machine that can be put into production is set. The compensation factor for the real-time punching speed of the punching machine that can be put into production is set. is the number of each punching machine that can be put into production, , is the total number of punch presses that can be put into production.

[0047] It needs to be explained that the above-mentioned real-time operating status evaluation values ​​of each punching machine that can be put into production are calculated through the real-time vibration frequency of each punching machine that can be put into production, the real-time noise decibel of each punching machine that can be put into production, and the real-time punching speed of each punching machine that can be put into production. Taking into account the real-time vibration frequency of each punching machine that can be put into production, the real-time noise decibel of each punching machine that can be put into production, the real-time punching speed of each punching machine that can be put into production and other factors, real-time monitoring of the vibration frequency and speed of the punching machine can help production managers to timely discover abnormal conditions in the production process, adjust production parameters in time, and improve production efficiency. By monitoring the noise decibel, equipment abnormalities or failures can be discovered in time to avoid production interruptions and ensure production continuity. Vibration frequency and noise decibel are important indicators for evaluating the operating status and stability of equipment. Real-time monitoring of these indicators can help prevent equipment failures and accidents, ensure production safety, and adjust the punching speed in time. It can also reduce safety hazards during equipment operation. By monitoring the vibration frequency and noise decibel, abnormal conditions in equipment operation can be discovered in time, maintenance and maintenance can be carried out in time, and the service life of the equipment can be extended. Reasonable control of the punching speed can also Reduce equipment wear and damage, reduce equipment maintenance costs, the stability of the punch operation state directly affects the processing quality of the product, by comprehensively considering factors such as vibration frequency, noise decibels and punch speed, the production process can be optimized, the product processing accuracy and consistency can be improved, and the product quality can be improved. Reasonable control of the punch speed and operation state can reduce energy consumption, save energy, reduce noise and vibration during equipment operation, and help improve the production environment, reduce the impact on the environment, and achieve green production. Real-time vibration frequency, real-time noise decibels and real-time punch speed can be collected in real time by sensors or monitoring equipment. For example, vibration frequency and noise decibels can be obtained by vibration sensors and sound sensors, while punch speed can be monitored in real time by speed sensors or encoders. The reference value of the punch that can be put into production stored in the database is determined and stored in the database based on the design specifications, production requirements or historical data of the punch. The compensation factors of the set real-time vibration frequency, noise decibels and punch speed are set based on experiments, experience or professional knowledge, and are used to adjust the real-time collected data to consider the influencing factors under specific environmental or process conditions.

[0048] Obtain a quality data set of each photovoltaic product that can be put into production by a production punching machine. Based on the obtained quality data set of each photovoltaic product that can be put into production by a production punching machine, evaluate the quality of each photovoltaic product that can be put into production by a production punching machine, and screen qualified photovoltaic products.

[0049] Specifically, the quality data set of each photovoltaic product produced by the production punching machine includes the surface defect ratio of each photovoltaic product produced by the production punching machine, the maximum size deviation value of each photovoltaic product produced by the production punching machine, and the photoelectric conversion efficiency of each photovoltaic product produced by the production punching machine. The surface defect ratio of each photovoltaic product refers to the proportion of defects appearing on the surface during the production process of the photovoltaic product. The surface defects may include but are not limited to scratches, dents, bubbles, etc. The surface defect ratio is one of the important indicators for measuring the appearance quality of the product. A lower defect ratio usually means a higher appearance quality of the product. The maximum size deviation value of each photovoltaic product produced by the production punching machine indicates the maximum difference between the actual size and the design size of the photovoltaic product during the production process. The size deviation value is one of the important indicators for measuring the accuracy of product size control. A smaller deviation value usually means that the size control during the production process is relatively stable. The photoelectric conversion efficiency of each photovoltaic product produced by the production punching machine is the efficiency of photovoltaic products in converting light energy into electrical energy under lighting conditions. The photoelectric conversion efficiency is one of the important indicators for measuring the performance of photovoltaic products. A higher conversion efficiency usually means that the product has better power generation performance.

[0050] It needs to be explained that the surface defects of the above-mentioned products will affect the light absorption and electron transmission efficiency of photovoltaic cells, thereby affecting the photoelectric conversion efficiency. A higher proportion of surface defects may lead to a decrease in the photoelectric conversion efficiency. The size deviation of the product may affect the light absorption and photoelectric conversion efficiency of photovoltaic cells. A larger size deviation may cause the photoelectric conversion efficiency of photovoltaic cells to decrease. There may be a certain correlation between surface defects and size deviations. For example, an unstable production process or poor equipment condition may cause both surface defects and size deviations to increase simultaneously.

[0051] Furthermore, based on the obtained quality data set of each photovoltaic production product that can be put into production by the punch press, the quality of each photovoltaic production product that can be put into production by the punch press is evaluated, and qualified photovoltaic production products are screened. The specific analysis process is: based on the obtained quality data set of each photovoltaic production product that can be put into production by the punch press, a comprehensive analysis is performed to obtain the quality evaluation value of each photovoltaic production product that can be put into production by the punch press. The quality evaluation value of each photovoltaic production product that can be put into production by the punch press is used as the analysis basis for evaluating the quality of each photovoltaic production product that can be put into production by the punch press and screening qualified photovoltaic production products; the quality evaluation value of each photovoltaic production product that can be put into production by the punch press is compared with the data set. The photovoltaic production products that can be put into production by the punch press are compared with the quality reference evaluation values ​​of the photovoltaic production products stored in the library; if the quality evaluation value of a photovoltaic production product that can be put into production by the punch press is higher than or equal to the quality reference evaluation value of the photovoltaic production products that can be put into production by the punch press, the photovoltaic production product corresponding to the quality evaluation value of the photovoltaic production product that can be put into production by the punch press is marked as a qualified photovoltaic production product; if the quality evaluation value of a photovoltaic production product that can be put into production by the punch press is lower than the quality reference evaluation value of the photovoltaic production product that can be put into production by the punch press, the photovoltaic production product corresponding to the quality evaluation value of the photovoltaic production product that can be put into production by the punch press is marked as an unqualified photovoltaic production product.

[0052] It needs to be explained that, through the comprehensive analysis of the product quality data set mentioned above, an objective product quality assessment value can be obtained to ensure that the product quality meets the requirements. Screening qualified products can improve the overall quality level of the product, reduce the defective rate, and improve customer satisfaction. Screening out qualified photovoltaic production products can reduce the generation of waste and defective products and reduce production costs. At the same time, qualified products have higher production efficiency and a more stable production process, which can also reduce production interruptions and maintenance costs. Through automated evaluation and screening of qualified products, manual intervention can be reduced and production efficiency can be improved. Unqualified products can be discovered and eliminated in a timely manner, which can prevent bad products from entering the downstream process and improve overall production efficiency. Through the analysis and evaluation of product quality data, problems and bottlenecks in the production process can be discovered, and targeted improvements and optimizations can be made to improve the stability and efficiency of the production process. Producing qualified photovoltaic products can not only improve the quality and reliability of the products, but also enhance the competitiveness of the products in the market. Qualified products can better meet customer needs, win customer trust, and enhance brand value.

[0053] It needs to be explained that the above-mentioned evaluation of the quality of each photovoltaic product that can be put into production punching machine production and screening of qualified photovoltaic products can ensure that the products meet the standard requirements, improve the stability of product quality, enhance product competitiveness, and evaluate and screen product quality. It can timely discover product quality problems, avoid the influx of defective and unqualified products into the market, reduce quality risks and after-sales service costs, and by screening qualified products, it can reduce the generation of unqualified products, reduce scrap rate, improve production efficiency, reduce production costs, and improve product quality and brand image, enhance consumer trust, enhance brand reputation, and help companies stand out in market competition.

[0054] It should be explained that the quality assessment values ​​of the above-mentioned photovoltaic production products that can be put into production punching machine production can not only be obtained by further analysis through machine learning integrated models, using random forest or LightGBM, combining the prediction results of multiple basic models to obtain more accurate quality assessment values ​​of the photovoltaic production products that can be put into production punching machine production, but also can be calculated in the following way. The calculation formula for the quality assessment value of each photovoltaic production product that can be put into production punching machine production is:

[0055] ;

[0056] In the formula, is the quality assessment value of the nth photovoltaic production product that can be put into production by the punch press, is the surface defect ratio of the nth photovoltaic product that can be put into production by the punch press, is the maximum size deviation value of the nth photovoltaic production product that can be put into production punching machine production, is the photoelectric conversion efficiency of the nth photovoltaic product that can be put into production by the punch press, Define dimensional deviation values ​​for photovoltaic production products stored in the database that can be put into production punching, is the compensation factor for the surface defect ratio of photovoltaic products that can be put into production punching machine, n is the number of each photovoltaic product that can be put into production punching machine, , m is the total number of photovoltaic products that can be put into production by the punch press.

[0057] It needs to be explained that the quality assessment values ​​of the above-mentioned photovoltaic products that can be put into production punching machines are calculated through the surface defect ratio of each photovoltaic product that can be put into production punching machines, the maximum size deviation value of each photovoltaic product that can be put into production punching machines, and the photoelectric conversion efficiency of each photovoltaic product that can be put into production punching machines. Taking into account factors such as the surface defect ratio of each photovoltaic product that can be put into production punching machines, the maximum size deviation value of each photovoltaic product that can be put into production punching machines, and the photoelectric conversion efficiency of each photovoltaic product that can be put into production punching machines, through the evaluation of the surface defect ratio and the maximum size deviation value, problems in the production process can be discovered and corrected in time, thereby improving product quality and consistency. The evaluation of the photoelectric conversion efficiency can help optimize the production process, improve energy conversion efficiency, reduce energy waste, and thus improve production efficiency. By optimizing the production process and improving product quality, the scrap rate and rework rate can be reduced, and production costs can be reduced. High-quality products and efficient production processes can enhance the competitiveness of enterprises, improve brand image, and attract more customers and partners. A comprehensive assessment of product quality helps ensure that products meet relevant standards and customer requirements, and improve the market recognition and reliability of products. Data collection and monitoring are carried out for each photovoltaic product in the production process. This may involve the use of sensors, monitoring equipment or manual records to capture key parameters such as surface defects, dimensional deviations and photoelectric conversion efficiency. The stored data is used for analysis to calculate indicators such as the surface defect ratio, dimensional deviation and photoelectric conversion efficiency of each product. According to the product design specifications, industry standards or customer requirements, the dimensional deviation value is determined. This is usually a fixed value used to define whether the product size is within an acceptable range. According to the actual production situation and quality management requirements, the compensation factor for the surface defect ratio is set. This compensation factor can be a fixed value or adjusted according to changes in product characteristics and production environment.

[0058] like Figure 3As shown, it is an image of the change of the quality assessment value of photovoltaic production products produced by the production punching machine as the proportion of surface defects of photovoltaic production products produced by the production punching machine can be put into production, wherein the x-axis represents the proportion of surface defects of photovoltaic production products produced by the production punching machine, and the y-axis represents the quality assessment value of photovoltaic production products produced by the production punching machine can be put into production. It can help to intuitively understand how the proportion of surface defects of photovoltaic production products produced by the production punching machine affects the quality assessment value of photovoltaic production products produced by the production punching machine. The larger the proportion of surface defects of photovoltaic production products produced by the production punching machine, the smaller the quality assessment value of photovoltaic production products produced by the production punching machine, indicating that the quality of photovoltaic production products is worse. As the proportion of surface defects of photovoltaic production products produced by the production punching machine increases, the quality assessment value of photovoltaic production products produced by the production punching machine increases. As the proportion of surface defects increases, its impact on the quality assessment value of photovoltaic products produced by the production punching machine gradually weakens, and finally stabilizes at a lower value. The maximum size deviation value of photovoltaic products produced by the production punching machine is set to 1.5, the photoelectric conversion efficiency of photovoltaic products produced by the production punching machine is set to 1.5, the size deviation value of photovoltaic products produced by the production punching machine stored in the database is set to 1.0, and the compensation factor of the surface defect ratio of photovoltaic products produced by the production punching machine is set to 0.5. Only the size of the surface defect ratio of photovoltaic products produced by the production punching machine is changed. The example values ​​of the surface defect ratio of photovoltaic products produced by the production punching machine are as follows:

[0059] Table 1: Example values ​​of the proportion of surface defects of photovoltaic products that can be produced by punching machines in the quality assessment value of photovoltaic products that can be produced by punching machines

[0060]

[0061] It should be noted that the larger the maximum size deviation value of the photovoltaic production products that can be put into production by the punch press, the smaller the quality assessment value of the photovoltaic production products that can be put into production by the punch press, indicating that the worse the operating state of the transformer, the surface defect ratio of the photovoltaic production products that can be put into production by the punch press is set to 50 unchanged, the size deviation value of the photovoltaic production products that can be put into production by the punch press stored in the database is 1.0 unchanged, and the compensation factor of the surface defect ratio of the photovoltaic production products that can be put into production by the punch press is set to 0.5 unchanged. At the same time, the maximum size deviation value of the photovoltaic production products that can be put into production by the punch press and the photoelectric conversion efficiency of the photovoltaic production products that can be put into production by the punch press are changed, indicating that the quality assessment value of the photovoltaic production products that can be put into production by the punch press is more sensitive to the change of the maximum size deviation value of the photovoltaic production products that can be put into production by the punch press. The example values ​​of the maximum size deviation value of the photovoltaic production products that can be put into production by the punch press and the photoelectric conversion efficiency of the photovoltaic production products that can be put into production by the punch press are as follows:

[0062] Table 2: Example values ​​of the maximum dimensional deviation of photovoltaic products that can be produced by punching machines and the photoelectric conversion efficiency of photovoltaic products that can be produced by punching machines in the quality assessment values ​​of photovoltaic products that can be produced by punching machines

[0063]

[0064] Reference Figure 2 As shown, the second aspect of the present invention provides a punch press data analysis system for photovoltaic production, including a punch press screening module that can be put into production, a real-time fault monitoring module and a qualified photovoltaic production product screening module, wherein: the punch press screening module that can be put into production is used to obtain a data set of process parameters of each punch press, and screen the punch presses that can be put into production based on the obtained data set of process parameters of each punch press; the real-time fault monitoring module is used to obtain a real-time operating status data set of each punch press that can be put into production, and based on the obtained real-time operating status data set of each punch press that can be put into production, real-time fault monitoring is performed on each punch press that can be put into production; the qualified photovoltaic production product screening module is used to obtain a quality data set of each photovoltaic production product produced by the punch press that can be put into production, and based on the obtained quality data set of each photovoltaic production product produced by the punch press that can be put into production, the quality of each photovoltaic production product produced by the punch press that can be put into production is evaluated, and qualified photovoltaic production products are screened.

[0065] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A punch press data analysis method for photovoltaic production, characterized in that: The following steps are involved: Obtaining a data set of process parameters of each punch press, and based on the obtained data set of process parameters of each punch press, screening the punch presses that can be put into production, wherein the data set of process parameters of each punch press specifically includes the stroke frequency of each punch press, the maximum load of each punch press, and the energy consumption efficiency of each punch press; Acquire a real-time operating status data set of each punching machine that can be put into production, and perform real-time fault monitoring on each punching machine that can be put into production based on the acquired real-time operating status data set of each punching machine that can be put into production; Acquire the quality data set of each photovoltaic production product that can be put into production punching machine production, evaluate the quality of each photovoltaic production product that can be put into production punching machine production based on the acquired quality data set of each photovoltaic production product that can be put into production punching machine production, and screen qualified photovoltaic production products; The real-time operating status data set of each punching machine that can be put into production specifically includes the real-time vibration frequency of each punching machine that can be put into production, the real-time noise decibel of each punching machine that can be put into production, and the real-time punching speed of each punching machine that can be put into production; Among them, based on the acquired real-time operating status data set of each punching machine that can be put into production, real-time fault monitoring is performed on each punching machine that can be put into production. The specific analysis process is: Based on the acquired real-time operation status data set of each punching machine that can be put into production, a comprehensive analysis is performed to obtain a real-time operation status evaluation value of each punching machine that can be put into production. The real-time operation status evaluation value of each punching machine that can be put into production is used as an analysis basis for real-time fault monitoring of each punching machine that can be put into production. Compare the real-time operating status evaluation value of each punch press that can be put into production with the real-time operating status reference evaluation value of each punch press that can be put into production stored in the database; If the real-time operating status evaluation value of a punch press that can be put into production is higher than or equal to the real-time operating status reference evaluation value of the punch press that can be put into production, the real-time operating status of the punch press that can be put into production corresponding to the real-time operating status evaluation value of the punch press that can be put into production is marked as good; If the real-time operating status evaluation value of a punch press that can be put into production is lower than the real-time operating status reference evaluation value of the punch press that can be put into production, the real-time operating status of the punch press that can be put into production corresponding to the real-time operating status evaluation value of the punch press that can be put into production is marked as bad, it is determined that the punch press that can be put into production has a fault, and a fault prompt is issued to the punch press that can be put into production; Among them, the real-time operating status evaluation value of each punching machine that can be put into production, the specific analysis process is: ； In the formula, For the The real-time operating status evaluation value of the punch press that can be put into production, For the The real-time vibration frequency of the punching machine that can be put into production, For the The real-time noise decibel of a punching machine that can be put into production, For the The real-time punching speed of the punching machine that can be put into production, The reference vibration frequency of the punch press that can be put into production is stored in the database. Define the noise decibel level for the punch presses that can be put into production and stored in the database, The reference punching speed of the punching press that can be put into production is stored in the database. is the compensation factor of the real-time vibration frequency of the punching machine that can be put into production. The compensation factor for the real-time noise decibel of the punching machine that can be put into production is set. The compensation factor for the real-time punching speed of the punching machine that can be put into production is set. is the number of each punching machine that can be put into production, , is the total number of punch presses that can be put into production; The punch presses can be put into production based on the obtained process parameter data sets. The specific analysis process is as follows: Based on the acquired data sets of process parameters of each punch press, the evaluation values ​​of the process parameters of each punch press are obtained through comprehensive analysis. The evaluation values ​​of the process parameters of each punch press are used as the analysis basis for screening the punch presses that can be put into production. Obtaining a demand data set for photovoltaic production products, wherein the demand data set for photovoltaic production products specifically includes the volume of photovoltaic production products, the total number of photovoltaic production products, and the total production time of photovoltaic production products; The volume of the product to be produced by photovoltaic power generation, the total number of the product to be produced by photovoltaic power generation, and the total production time of the product to be produced by photovoltaic power generation are recorded as designated tags, and the designated tags are compared with the punching machine process parameter definition evaluation values ​​corresponding to the designated tags stored in the database to obtain the punching machine process parameter definition evaluation values ​​corresponding to the designated tags; Compare the evaluation value of each punching machine process parameter with the defined evaluation value of the punching machine process parameter; If the evaluation value of a punching machine process parameter is higher than or equal to the defined evaluation value of the punching machine process parameter, the punching machine corresponding to the evaluation value of the punching machine process parameter is marked as a punching machine that can be put into production; If the evaluation value of a punching machine process parameter is lower than the defined evaluation value of the punching machine process parameter, the punching machine corresponding to the evaluation value of the punching machine process parameter is marked as a punching machine that cannot be put into production; The calculation formula for the evaluation value of each punching machine process parameter is: ； In the formula, is the x-th punch process parameter evaluation value, is the x-th punch stroke frequency, is the maximum load of the xth punch, is the energy efficiency of the x-th punch press, The reference stroke frequency of the punch press stored in the database, Define the load for the punching machines stored in the database, x is the number of each punching machine, x=1,2,3,…,y, y is the total number of punching machines, and e is a natural constant.

2. The punching machine data analysis method for photovoltaic production according to claim 1 is characterized in that: The quality data set of each photovoltaic production product that can be put into production punching machine production specifically includes the surface defect ratio of each photovoltaic production product that can be put into production punching machine production, the maximum size deviation value of each photovoltaic production product that can be put into production punching machine production, and the photoelectric conversion efficiency of each photovoltaic production product that can be put into production punching machine production.

3. The punch press data analysis method for photovoltaic production according to claim 1, characterized in that: The quality data set of each photovoltaic production product that can be put into production punching machine production specifically includes the surface defect ratio of each photovoltaic production product that can be put into production punching machine production, the maximum size deviation value of each photovoltaic production product that can be put into production punching machine production, and the photoelectric conversion efficiency of each photovoltaic production product that can be put into production punching machine production.

4. The punch press data analysis method for photovoltaic production according to claim 3, characterized in that: The quality assessment value of each photovoltaic production product that can be put into production punching machine production, the specific analysis process is as follows: ； In the formula, is the quality assessment value of the nth photovoltaic production product that can be put into production by the punch press, is the surface defect ratio of the nth photovoltaic product that can be put into production by the punch press, is the maximum size deviation value of the nth photovoltaic production product that can be put into production punching machine production, is the photoelectric conversion efficiency of the nth photovoltaic product that can be put into production by the punch press, Define dimensional deviation values ​​for photovoltaic production products stored in the database that can be put into production punching, is the compensation factor for the surface defect ratio of photovoltaic products that can be put into production punching machine, n is the number of each photovoltaic product that can be put into production punching machine, , m is the total number of photovoltaic products that can be put into production by the punch press.

5. A punch press data analysis system for photovoltaic production, used in a punch press data analysis method for photovoltaic production according to any one of claims 1 to 4, characterized in that: It includes a punch screening module that can be put into production, a real-time fault monitoring module and a qualified photovoltaic production product screening module, among which: The punch press screening module can be put into production, which is used to obtain the process parameter data set of each punch press. Based on the obtained process parameter data set of each punch press, the punch press can be screened and put into production; A real-time fault monitoring module is used to obtain a real-time operating status data set of each punching machine that can be put into production, and based on the obtained real-time operating status data set of each punching machine that can be put into production, perform real-time fault monitoring on each punching machine that can be put into production; The qualified photovoltaic production product screening module is used to obtain the quality data set of each photovoltaic production product that can be put into production punching machine production, and based on the obtained quality data set of each photovoltaic production product that can be put into production punching machine production, the quality of each photovoltaic production product that can be put into production punching machine production is evaluated to screen qualified photovoltaic production products; The real-time operating status data set of each punching machine that can be put into production specifically includes the real-time vibration frequency of each punching machine that can be put into production, the real-time noise decibel of each punching machine that can be put into production, and the real-time punching speed of each punching machine that can be put into production; Among them, based on the acquired real-time operating status data set of each punching machine that can be put into production, real-time fault monitoring is performed on each punching machine that can be put into production. The specific analysis process is: Based on the acquired real-time operation status data set of each punching machine that can be put into production, a comprehensive analysis is performed to obtain a real-time operation status evaluation value of each punching machine that can be put into production. The real-time operation status evaluation value of each punching machine that can be put into production is used as an analysis basis for real-time fault monitoring of each punching machine that can be put into production. Compare the real-time operating status evaluation value of each punch press that can be put into production with the real-time operating status reference evaluation value of each punch press that can be put into production stored in the database; If the real-time operating status evaluation value of a punch press that can be put into production is higher than or equal to the real-time operating status reference evaluation value of the punch press that can be put into production, the real-time operating status of the punch press that can be put into production corresponding to the real-time operating status evaluation value of the punch press that can be put into production is marked as good; If the real-time operating status evaluation value of a punch press that can be put into production is lower than the real-time operating status reference evaluation value of the punch press that can be put into production, the real-time operating status of the punch press that can be put into production corresponding to the real-time operating status evaluation value of the punch press that can be put into production is marked as bad, it is determined that the punch press that can be put into production has a fault, and a fault prompt is issued to the punch press that can be put into production; Among them, the real-time operating status evaluation value of each punching machine that can be put into production, the specific analysis process is: ； In the formula, For the The real-time operating status evaluation value of the punch press that can be put into production, For the The real-time vibration frequency of the punching machine that can be put into production, For the The real-time noise decibel of a punching machine that can be put into production, For the The real-time punching speed of the punching machine that can be put into production, The reference vibration frequency of the punch press that can be put into production is stored in the database. Define the noise decibel level for the punch presses that can be put into production and stored in the database, The reference punching speed of the punching press that can be put into production is stored in the database. is the compensation factor of the real-time vibration frequency of the punching machine that can be put into production. The compensation factor for the real-time noise decibel of the punching machine that can be put into production is set. The compensation factor for the real-time punching speed of the punching machine that can be put into production is set. is the number of each punching machine that can be put into production, , is the total number of punch presses that can be put into production; The punch presses can be put into production based on the obtained process parameter data sets. The specific analysis process is as follows: Based on the acquired data sets of process parameters of each punch press, the evaluation values ​​of the process parameters of each punch press are obtained through comprehensive analysis. The evaluation values ​​of the process parameters of each punch press are used as the analysis basis for screening the punch presses that can be put into production. Obtaining a demand data set for photovoltaic production products, wherein the demand data set for photovoltaic production products specifically includes the volume of photovoltaic production products, the total number of photovoltaic production products, and the total production time of photovoltaic production products; The volume of the product to be produced by photovoltaic power generation, the total number of the product to be produced by photovoltaic power generation, and the total production time of the product to be produced by photovoltaic power generation are recorded as designated tags, and the designated tags are compared with the punching machine process parameter definition evaluation values ​​corresponding to the designated tags stored in the database to obtain the punching machine process parameter definition evaluation values ​​corresponding to the designated tags; Compare the evaluation value of each punching machine process parameter with the defined evaluation value of the punching machine process parameter; If the evaluation value of a punching machine process parameter is higher than or equal to the defined evaluation value of the punching machine process parameter, the punching machine corresponding to the evaluation value of the punching machine process parameter is marked as a punching machine that can be put into production; If the evaluation value of a punching machine process parameter is lower than the defined evaluation value of the punching machine process parameter, the punching machine corresponding to the evaluation value of the punching machine process parameter is marked as a punching machine that cannot be put into production; The calculation formula for the evaluation value of each punching machine process parameter is: ； In the formula, is the x-th punch process parameter evaluation value, is the x-th punch stroke frequency, is the maximum load of the xth punch, is the energy efficiency of the x-th punch press, The reference stroke frequency of the punch press stored in the database, Define the load for the punching machines stored in the database, x is the number of each punching machine, x=1,2,3,…,y, y is the total number of punching machines, and e is a natural constant.

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