Intelligent production monitoring management method and system for aviation ring forgings

Abstract

The invention discloses an intelligent production monitoring management method and system for aviation ring forgings, and belongs to the technical field of aviation ring production line control. The method comprises the following steps: obtaining each production device of each production line, and collecting working environment data of each production line, performance data of each production device of each production line and working data of each production line; comprehensively analyzing according to the working environment data of each production line to obtain a working environment evaluation value of each production line, matching according to the working environment evaluation value of each production line to obtain a working evaluation threshold value of each production line, and comprehensively analyzing according to the performance data of each production device of each production line to obtain a performance evaluation value of each production device of each production line; performing adjustment feedback according to the performance evaluation value of each production device of each production line, and performing comprehensive analysis according to the performance evaluation value of each production device of each production line and the working data of each production line to obtain a working evaluation value of each production line; and adjusting and feeding back according to the work evaluation value of each production line.

Description

Technical Field

[0001] The present invention relates to the field of high-end intelligent equipment control technology, and in particular to an intelligent production monitoring and management method and system for aviation ring forgings. Background Art

[0002] As key components of high-end equipment such as aircraft engines, aviation ring forgings have a wide range of applications and an important strategic position. With the development of aircraft engines, higher technical and economic requirements have been put forward for ring manufacturing technology. In order to meet the development needs of aircraft engines, aviation forgings are also developing in the direction of large-scale and precision.

[0003] The existing intelligent production monitoring and management methods for aviation ring forgings integrate advanced information technology, automation equipment and intelligent analysis systems to achieve real-time monitoring, intelligent analysis and optimized scheduling of the production process.

[0004] For example, the invention patent with announcement number: CN115840430B announces a management system for an intelligent production line of aviation ring forgings, including: a management platform, a control platform and an intelligent production line of aviation ring forgings, which are communicatively connected in sequence; the control platform is used to control the first forging robot to transport the bar material on the third logistics roller to the first group of heating furnaces for heating, and to transport the heated bar material to the press system to form a billet, and then to transport the billet to the first logistics roller for dispersed cooling, according to the loading information of the third logistics roller and the status information of the first group of heating furnaces; the control platform is also used to control the first truss robot in the auxiliary area to transport the cooled billet to the second logistics roller after the billet has cooled for a preset period of time, control the second forging robot to transfer the billet to the second group of heating furnaces in the forming area, and to transport the heated billet to the rolling mill after heating to form the initial aviation ring forging.

[0005] For example, the intelligent production line for aviation ring forgings announced in the invention patent with announcement number: CN115846568B includes: a production line control system, a blank making area, an auxiliary area, a forming area, a first logistics roller, and a second logistics roller; the production line control system is communicated with all equipment in the blank making area, the auxiliary area, and the forming area, the controller of the first logistics roller, and the controller of the second logistics roller; wherein, the blank making area includes: a third logistics roller, a first forging robot, a press system, and a first group of heating furnaces; the first forging robot is transported and moved between the third logistics roller, the first group of heating furnaces, and the press system; the auxiliary area includes a first truss robot; the first logistics roller and the second logistics roller are located at both ends of the first truss robot; the forming area includes: a second forging robot, a rolling mill, and a second group of heating furnaces; the second forging robot is transported and moved between the second logistics roller, the second group of heating furnaces, and the rolling mill.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, due to unreasonable management of production equipment, the production efficiency of the intelligent ring forging system is low, the equipment performance is not fully utilized, and there are problems of resource waste and cost increase. Summary of the invention

[0007] The present invention provides an intelligent production monitoring and management method and system for aviation ring forgings, thereby solving the problems in the prior art of low production efficiency of the intelligent ring forging system, underutilization of equipment performance, waste of resources and increased costs due to unreasonable production equipment management, thereby achieving a significant improvement in production efficiency and optimization of resource utilization.

[0008] The present invention provides an intelligent production monitoring and management method for aviation ring forgings, comprising the following steps: acquiring intelligent ring forging production equipment, marking it as each production equipment of each production line, collecting working environment data of each production line, performance data of each production equipment of each production line and working data of each production line; obtaining a working environment evaluation value of each production line according to a comprehensive analysis of the working environment data of each production line, and obtaining a working evaluation threshold of each production line according to matching of the working environment evaluation value of each production line, obtaining a performance evaluation value of each production equipment of each production line according to a comprehensive analysis of the performance data of each production equipment of each production line, and adjusting and giving feedback according to the performance evaluation value of each production equipment of each production line, obtaining a working evaluation value of each production line according to a comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line; and adjusting and giving feedback according to the working evaluation value of each production line.

[0009] Furthermore, the step of obtaining a working environment evaluation value of each production line through comprehensive analysis based on the working environment data of each production line includes: the working environment data of each production line includes the working temperature of each production line, the air flow rate of each production line and the particle concentration of each production line; obtaining the reference working temperature, the allowable deviation working temperature, the reference air flow rate, the allowable deviation air flow rate and the critical particle concentration from the forging management database; and obtaining the working environment evaluation value of each production line through comprehensive analysis.

[0010] Furthermore, the step of obtaining the working evaluation threshold of each production line according to the working environment evaluation value of each production line includes: matching the working environment evaluation value of each production line with the production line working evaluation threshold corresponding to each working environment evaluation value interval stored in the forging management database to obtain the production line working evaluation threshold of each production line.

[0011] Furthermore, the step of obtaining a performance evaluation value of each production equipment of each production line based on a comprehensive analysis of the performance data of each production equipment of each production line includes: the performance data of each production equipment of each production line includes the vibration frequency of each production equipment of each production line, the operating time of each production equipment of each production line and the production time of each production equipment of each production line; obtaining the reference vibration frequency of each production equipment, the allowable deviation vibration frequency of each production equipment, the critical operating time of each production equipment and the critical production time of each production equipment from the forging management database; and obtaining the performance evaluation value of each production equipment of each production line through comprehensive analysis.

[0012] Furthermore, the step of providing adjustment feedback based on the performance evaluation value of each production equipment on each production line includes: obtaining the performance evaluation threshold of each production equipment from the forging management database; comparing the performance evaluation value of each production equipment on each production line with the performance evaluation threshold of each production equipment respectively; if the performance evaluation value of a production equipment on a production line is greater than or equal to the performance evaluation threshold of the production equipment, no additional operation is performed; if the performance evaluation value of a production equipment on a production line is less than the performance evaluation threshold of the production equipment, the production equipment is marked as an abnormal equipment, the abnormal production equipment on each production line is statistically obtained, and adjustment feedback is provided to the abnormal production equipment on each production line.

[0013] Furthermore, the step of adjusting and providing feedback to each abnormal production equipment of each production line includes: obtaining the total number of abnormal production equipment of each production line, comparing the total number of abnormal production equipment of each production line with the total number threshold of abnormal production equipment preset in the forging management database; if the total number of abnormal production equipment of a production line is greater than or equal to the total number threshold of abnormal production equipment, terminating the production activity of the production line and issuing an early warning; if the total number of abnormal production equipment of a production line is less than the total number threshold of abnormal production equipment, subtracting the performance evaluation threshold of each production equipment from the equipment performance evaluation value of each abnormal production equipment, and calculating the equipment performance evaluation difference of each abnormal production equipment; matching the equipment performance evaluation difference of each abnormal production equipment with the abnormal level corresponding to the equipment performance evaluation difference range of each abnormal production equipment preset in the forging management database, obtaining the abnormal level of each abnormal production equipment, and providing feedback and adjustment to each abnormal production equipment according to the abnormal level of each abnormal production equipment.

[0014] Furthermore, the step of obtaining the working evaluation value of each production line by comprehensive analysis based on the performance evaluation value of each production equipment of each production line and the working data of each production line includes: the working data of each production line includes the defective rate of each production line and the production cycle of each production line; obtaining the critical performance evaluation value, critical defective rate and critical production cycle of each production equipment from the forging management database; and obtaining the working evaluation value of each production line by comprehensive analysis.

[0015] Furthermore, the work evaluation value of each production line is obtained as follows: ; In the formula, represents the work evaluation value of the i-th production line, Indicates the production line work evaluation influencing factor corresponding to the defective product rate, Indicates the production line work evaluation influencing factor corresponding to the production cycle, Indicates the production line work evaluation influencing factor corresponding to the production equipment performance evaluation value, represents the defective rate of the i-th production line, represents the critical defective rate, represents the production cycle of the i-th production line, represents the critical production cycle, represents the performance evaluation value of the jth production equipment of the i-th production line, represents the critical performance evaluation value of the j-th production equipment, e is a natural constant, i is the number of each production line, i=1,2,3,...,N, N is the total number of production lines, j is the number of each production equipment, j=1,2,3,...,M, M is the total number of production equipment.

[0016] Furthermore, the step of adjusting feedback according to the work evaluation value of each production line includes: comparing the work evaluation value of each production line with the production line work evaluation threshold; if the work evaluation value of a production line is greater than or equal to the production line work evaluation threshold, no additional operation is performed; if the work evaluation value of a production line is less than the production line work evaluation threshold, equipment scheduling is performed on the production line based on the idle production equipment information.

[0017] The embodiment of the present application provides an intelligent production monitoring and management system for aviation ring forgings, which includes a data acquisition module, a data processing module, an adjustment feedback module and a forging management database; wherein the data acquisition module is used to acquire intelligent ring forging production equipment, marked as each production equipment of each production line, and collect the working environment data of each production line, the performance data of each production equipment of each production line and the working data of each production line; the data processing module is used to obtain the working environment evaluation value of each production line according to the comprehensive analysis of the working environment data of each production line, and obtain the working evaluation threshold of each production line according to the matching of the working environment evaluation value of each production line, obtain the performance evaluation value of each production equipment of each production line according to the comprehensive analysis of the performance data of each production equipment of each production line, and adjust and feedback according to the performance evaluation value of each production equipment of each production line, and obtain the working evaluation value of each production line according to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line; the adjustment feedback module is used to adjust and feedback according to the working evaluation value of each production line.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The present invention provides an intelligent production monitoring and management method and system for aviation ring forgings, thereby accurately evaluating the overall working efficiency of the production line according to the working environment, working conditions and performance of each production equipment of the production line, providing strong support for the continuous improvement and optimization of the production line, thereby achieving a significant improvement in production efficiency.

[0019] 2. The present invention obtains the working evaluation threshold of each production line by matching the working environment evaluation value of each production line, so as to scientifically and reasonably evaluate and classify the actual working environment conditions of different production lines, thereby realizing more accurate management and control of different production lines, ensuring that each production line can operate in the best working state.

[0020] 3. The present invention adjusts and feedbacks according to the work evaluation value of each production line, so as to timely discover the problems and deficiencies on the production line, thereby realizing dynamic monitoring and adjustment of the operating status of the production line, ensuring that the production line always maintains an efficient and stable production state. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of the intelligent production monitoring and management method for aviation ring forgings provided in an embodiment of the present application.

[0022] Figure 2 A graph showing changes in the production line working environment assessment value of the aviation ring forging production monitoring and management method provided in an embodiment of the present application.

[0023] Figure 3 A schematic diagram of the structure of the intelligent production monitoring and management system for aviation ring forgings provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiments of the present application provide an intelligent production monitoring and management method and system for aviation ring forgings, thereby solving the problems in the prior art of low production efficiency of intelligent ring forging systems, underutilized equipment performance, waste of resources and increased costs due to unreasonable production equipment management. The working environment evaluation value of each production line is obtained by comprehensive analysis of the working environment data of each production line, and the working evaluation threshold of each production line is obtained according to the matching of the working environment evaluation value of each production line. The performance evaluation value of each production equipment of each production line is obtained by comprehensive analysis of the performance data of each production equipment of each production line, and adjustment feedback is performed according to the performance evaluation value of each production equipment of each production line. The working evaluation value of each production line is obtained according to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line; and adjustment feedback is performed according to the work evaluation value of each production line, thereby achieving a significant improvement in production efficiency and optimization of resource utilization.

[0025] The technical solution in the embodiment of the present application is to solve the above-mentioned problems of low production efficiency of the intelligent ring forging system, underutilization of equipment performance, waste of resources and increased costs due to unreasonable management of production equipment. The overall idea is as follows: By acquiring intelligent ring forging production equipment, marking it as each production equipment of each production line, collecting the working environment data of each production line, the performance data of each production equipment of each production line and the working data of each production line; comprehensively analyzing the working environment data of each production line to obtain the working environment evaluation value of each production line, and matching the working environment evaluation value of each production line to obtain the working evaluation threshold of each production line, comprehensively analyzing the performance data of each production equipment of each production line to obtain the performance evaluation value of each production equipment of each production line, and adjusting and feedbacking according to the performance evaluation value of each production equipment of each production line, comprehensively analyzing the performance evaluation value of each production equipment of each production line and the working data of each production line to obtain the working evaluation value of each production line; adjusting and feedbacking according to the work evaluation value of each production line, thereby improving the adaptability of the production line.

[0026] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0027] like Figure 1 As shown, it is a flow chart of the intelligent production monitoring and management method of aviation ring forgings provided in an embodiment of the present application, and the method includes the following steps: obtaining intelligent ring forging production equipment, marking it as each production equipment of each production line, collecting working environment data of each production line, performance data of each production equipment of each production line and working data of each production line; obtaining the working environment evaluation value of each production line according to a comprehensive analysis of the working environment data of each production line, and obtaining the working evaluation threshold of each production line according to the matching of the working environment evaluation value of each production line, obtaining the performance evaluation value of each production equipment of each production line according to a comprehensive analysis of the performance data of each production equipment of each production line, and adjusting and giving feedback according to the performance evaluation value of each production equipment of each production line, obtaining the working evaluation value of each production line according to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line; and adjusting and giving feedback according to the work evaluation value of each production line.

[0028] In this embodiment, the system monitors and evaluates the working status of the production line in real time, promptly discovers and resolves production bottlenecks, and improves production efficiency; reduces production costs and maintenance costs by optimizing production processes and reducing equipment failures and downtime; and at the same time, through real-time monitoring of production equipment performance and working environment, promptly discovers potential quality problems and takes preventive measures to improve product quality.

[0029] In addition, the forging management database is used to store relevant data of the intelligent production monitoring and management method based on aviation ring forgings, including: reference working temperature, allowable deviation working temperature, reference air flow rate, allowable deviation air flow rate, critical particle concentration, working environment assessment influencing factor corresponding to the working temperature of the production line, production line working assessment thresholds corresponding to each working environment assessment value interval, and performance assessment thresholds of each production equipment, etc. The data in the forging management database can be obtained by real-time collection and integration using tools such as special sensors and monitoring equipment, or by sharing data with other management systems of the airline (such as maintenance management systems, etc.) or by exchanging data with external agencies such as aviation regulatory agencies, and can also be obtained from public data inquiries of international aviation organizations, government agencies and other agencies.

[0030] Furthermore, the step of obtaining a working environment evaluation value of each production line through comprehensive analysis based on the working environment data of each production line includes: the working environment data of each production line includes the working temperature of each production line, the air flow rate of each production line and the particle concentration of each production line; obtaining the reference working temperature, the allowable deviation working temperature, the reference air flow rate, the allowable deviation air flow rate and the critical particle concentration from the forging management database; and obtaining the working environment evaluation value of each production line through comprehensive analysis.

[0031] The working environment evaluation value of each production line is obtained as follows: ; In the formula, represents the working environment evaluation value of the i-th production line, Indicates the working environment assessment impact factor corresponding to the working temperature of the production line, Indicates the working environment assessment impact factor corresponding to the air flow rate of the production line, Indicates the working environment assessment impact factor corresponding to the particulate matter concentration of the production line, represents the operating temperature of the i-th production line, Indicates the reference operating temperature, Indicates the allowable deviation of the operating temperature, represents the air flow rate of the ith production line, Indicates the reference air flow rate, Indicates the allowable deviation of air flow rate, represents the particle concentration of the i-th production line, Represents the critical particle concentration, where i is the number of each production line, i=1,2,3,...,N, and N is the total number of production lines.

[0032] , and The working environment assessment influencing factors corresponding to the production line working temperature, production line air flow rate and production line particle concentration preset in the forging management database are numerical indicators that measure the impact of the above environmental factors on the working environment assessment value. Specifically, the system constructs a mapping relationship table for the production line working temperature, production line air flow rate and production line particle concentration respectively. The table records each possible environmental factor value and its corresponding working environment assessment influencing factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when it is necessary to evaluate the working environment assessment value of a production line, the measured production line working temperature, production line air flow rate and production line particle concentration can be input into their respective corresponding mapping relationship tables, and the working environment assessment influencing factors corresponding to these values ​​can be quickly found, where the value range of the influencing factor is between 0 and 1.

[0033] In this embodiment, the working temperature can be measured by installing a temperature sensor at the center of the key area in the middle of the production line; the air flow rate can be measured by installing an air flow meter at the center point of the ventilation area of ​​the production line; and the particle concentration can be measured by installing a particle concentration monitor at the exhaust outlet. The change in the working temperature may affect the air flow rate, for example, in a high temperature environment, the air may become thinner, resulting in an increase in the flow rate; the change in the air flow rate may also affect the working temperature, for example, high-speed air flow may take away the heat on the production line, resulting in a decrease in the working temperature; the change in the working temperature may affect the suspension state and diffusion of particles in the air, for example, in a high temperature environment, particles may be more actively suspended in the air; at the same time, the change in particle concentration may also affect the working temperature, for example, a high concentration of particles may block the transfer and diffusion of heat, resulting in an increase in the working temperature; the change in the air flow rate will affect the diffusion and sedimentation of particles, for example, high-speed air flow may blow particles to a farther place; at the same time, the change in particle concentration may also affect the air flow rate, for example, a high concentration of particles may increase the resistance of the air, resulting in a decrease in the flow rate. The production line working environment evaluation value obtained through comprehensive analysis can reflect the overall situation of the production line working environment, and at the same time can understand the impact of the working environment on production efficiency and product quality.

[0034] The working environment assessment impact factor corresponding to the working temperature of the production line is set to 0.3, the working environment assessment impact factor corresponding to the air flow rate of the production line is set to 0.4, the working environment assessment impact factor corresponding to the particle concentration of the production line is set to 0.3, the working temperature of the production line is set to 31°C, the reference working temperature is set to 25°C, the allowable deviation working temperature is set to 5°C, the air flow rate of the production line is set to 30Nm³ / h, the reference air flow rate is set to 25Nm³ / h, the allowable deviation air flow rate is set to 5Nm³ / h, and the critical particle concentration is set to 30g / m³. When the particle concentration of the production line continues to increase, the working environment assessment value of the production line is calculated. As shown in Table 1, the production line working environment assessment value data table of the intelligent production monitoring and management method of aviation ring forgings.

[0035] Table 1 Data table of production line working environment assessment values ​​for aviation ring forging production monitoring and management methods like Figure 2 As shown in Table 1 and Figure 2 It can be seen that when the working environment assessment influencing factor corresponding to the production line working temperature, the working environment assessment influencing factor corresponding to the production line air flow rate, the working environment assessment influencing factor corresponding to the production line particulate matter concentration, the production line working temperature, the reference working temperature, the allowable deviation working temperature, the production line air flow rate, the reference air flow rate, the allowable deviation air flow rate and the critical particulate matter concentration remain unchanged, while the production line particulate matter concentration continues to increase, the production line working environment assessment value continues to decrease.

[0036] Furthermore, the step of obtaining the working evaluation threshold of each production line according to the working environment evaluation value of each production line includes: matching the working environment evaluation value of each production line with the production line working evaluation threshold corresponding to each working environment evaluation value interval stored in the forging management database to obtain the production line working evaluation threshold of each production line.

[0037] In this embodiment, the production line work evaluation threshold refers to the lower limit of the performance or efficiency level that the production line can achieve under specific working environment conditions. By matching the preset evaluation value interval and threshold, a standardized evaluation of the working environment of each production line can be achieved, which helps to ensure the objectivity and consistency of the evaluation results; after understanding the work evaluation threshold of each production line, the enterprise can optimize resource allocation according to actual conditions. For example, for a production line with a poor working environment, investment can be increased to improve the environment; while for a production line with a good working environment, investment can be maintained or appropriately reduced.

[0038] Furthermore, the step of obtaining a performance evaluation value of each production equipment of each production line based on a comprehensive analysis of the performance data of each production equipment of each production line includes: the performance data of each production equipment of each production line includes the vibration frequency of each production equipment of each production line, the operating time of each production equipment of each production line and the production time of each production equipment of each production line; obtaining the reference vibration frequency of each production equipment, the allowable deviation vibration frequency of each production equipment, the critical operating time of each production equipment and the critical production time of each production equipment from the forging management database; and obtaining the performance evaluation value of each production equipment of each production line through comprehensive analysis.

[0039] The step of evaluating the performance of each production equipment on each production line includes: ; In the formula, represents the performance evaluation value of the jth production equipment on the i-th production line, Indicates the production equipment performance evaluation influencing factor corresponding to the production equipment vibration frequency, Indicates the production equipment performance evaluation influencing factor corresponding to the production equipment operation time, Indicates the production equipment performance evaluation influencing factor corresponding to the production time of the production equipment, represents the vibration frequency of the jth production equipment in the i-th production line, represents the reference vibration frequency of the jth production equipment, represents the allowable deviation vibration frequency of the jth production equipment, represents the operating time of the jth production equipment on the i-th production line, represents the critical operating time of the jth production equipment, represents the production time of the jth production equipment on the i-th production line, represents the critical production time of the jth production equipment, where j is the number of each production equipment, j=1,2,3,...,M, and M is the total number of production equipment.

[0040] , and The production equipment performance evaluation influencing factors corresponding to the production equipment vibration frequency, production equipment operation time and production equipment production time preset in the forging management database are numerical indicators that measure the impact of the above equipment performance factors on the performance of the production equipment. Specifically, the system constructs a mapping relationship table for the production equipment vibration frequency, production equipment operation time and production equipment production time respectively. The table records each possible equipment performance factor value and its corresponding production equipment performance evaluation influencing factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when it is necessary to evaluate the performance evaluation value of a certain production equipment, the measured production equipment vibration frequency, production equipment operation time and production equipment production time can be input into the corresponding mapping relationship tables respectively, and the production equipment performance evaluation influencing factors corresponding to these values ​​can be quickly found, where the value range of the influencing factor is between 0 and 1.

[0041] In this embodiment, the vibration frequency can be measured by installing a vibration sensor on the production equipment; the production equipment operation time refers to the length of time the production equipment is running, and the production time of the production equipment refers to the time it takes for the production equipment to complete its work tasks, both of which can be obtained through the control system or monitoring system of the equipment. As the operation time increases, the vibration frequency of the equipment may change. For example, after a long period of operation, the equipment may experience problems such as wear, looseness or fatigue, resulting in an increase in the vibration frequency; there is also a certain correlation between the vibration frequency and the production time. If the vibration frequency of the equipment is too high or unstable, it may affect the quality and production efficiency of the product; the operation time and production time are both important indicators that reflect the utilization of the equipment and production efficiency. The longer the operation time, the lower the utilization rate of the equipment; and the shorter the production time, the higher the production efficiency of the equipment. According to the measurement results of each parameter and the preset evaluation criteria, the performance evaluation value of the equipment can be calculated, which can reflect the overall performance and operation status of the equipment, and provide strong support for the stable operation and continuous improvement of the production line.

[0042] Furthermore, the step of providing adjustment feedback based on the performance evaluation value of each production equipment on each production line includes: obtaining the performance evaluation threshold of each production equipment from the forging management database; comparing the performance evaluation value of each production equipment on each production line with the performance evaluation threshold of each production equipment respectively; if the performance evaluation value of a production equipment on a production line is greater than or equal to the performance evaluation threshold of the production equipment, no additional operation is performed; if the performance evaluation value of a production equipment on a production line is less than the performance evaluation threshold of the production equipment, the production equipment is marked as an abnormal equipment, the abnormal production equipment on each production line is statistically obtained, and adjustment feedback is provided to the abnormal production equipment on each production line.

[0043] In this embodiment, the performance evaluation threshold of each production equipment is a critical value used to measure whether the performance of the production equipment reaches a predetermined standard. By comparing the performance evaluation value of the production equipment with the performance evaluation threshold, the equipment with performance below the threshold, i.e., abnormal equipment, can be quickly found. This helps enterprises take timely measures, such as repair, replacement or adjustment of the production process, to avoid production interruptions or product quality problems caused by equipment failure.

[0044] Furthermore, the step of adjusting and providing feedback to each abnormal production equipment of each production line includes: obtaining the total number of abnormal production equipment of each production line, comparing the total number of abnormal production equipment of each production line with the total number threshold of abnormal production equipment preset in the forging management database; if the total number of abnormal production equipment of a production line is greater than or equal to the total number threshold of abnormal production equipment, terminating the production activity of the production line and issuing an early warning; if the total number of abnormal production equipment of a production line is less than the total number threshold of abnormal production equipment, subtracting the performance evaluation threshold of each production equipment from the equipment performance evaluation value of each abnormal production equipment, and calculating the equipment performance evaluation difference of each abnormal production equipment; matching the equipment performance evaluation difference of each abnormal production equipment with the abnormal level corresponding to the equipment performance evaluation difference range of each abnormal production equipment preset in the forging management database, obtaining the abnormal level of each abnormal production equipment, and providing feedback and adjustment to each abnormal production equipment according to the abnormal level of each abnormal production equipment.

[0045] In this embodiment, the equipment performance evaluation difference of each abnormal production equipment is the difference between the performance evaluation threshold of each production equipment and the equipment performance evaluation value of each abnormal production equipment. When the total number of abnormal production equipment of a production line is greater than or equal to the threshold, it means that the production capacity of the production line has been seriously affected, or there are safety hazards, so it is necessary to terminate the production activities of the production line and issue an early warning so that the enterprise can take timely measures; when the total number of abnormal production equipment of a production line is less than the threshold, the abnormal production equipment can be adjusted according to the abnormal level of each production equipment. The abnormality levels include minor abnormality, moderate abnormality and major abnormality. When a certain production equipment is in a minor abnormality, it means that the production equipment can maintain basic operation, but with some slight performance degradation or minor instability. The monitoring and observation of the equipment can be strengthened, the frequency and degree of abnormality can be recorded, and a preventive maintenance plan can be formulated and implemented based on the usage and maintenance records of the equipment. When a certain production equipment is in a moderate abnormality, it means that the equipment may have a more obvious performance degradation, instability or occasional failure. It is necessary to conduct an in-depth analysis of the abnormal phenomenon of the equipment to find the root cause of the failure, such as checking sensors, circuit boards, mechanical parts, etc. According to the analysis results, the faulty parts should be repaired or replaced. When a certain production equipment is in a serious abnormality, it means that the equipment may have frequent failures, shutdowns or cannot operate normally. It should be shut down immediately to avoid the expansion of the failure or the occurrence of a safety accident. The equipment should be comprehensively inspected and repaired, including disassembly, cleaning, and replacement of damaged parts. For example, when the equipment performance evaluation difference of an abnormal production equipment is 0.55, the equipment performance evaluation difference corresponding to the slight abnormality level preset in the forging management database is (0, 0.3), the equipment performance evaluation difference corresponding to the moderate abnormality level is [0.3, 0.6], and the equipment performance evaluation difference corresponding to the severe abnormality level is greater than 0.6, so the abnormality level of the abnormal production equipment status is moderate abnormality.

[0046] Furthermore, the step of obtaining the working evaluation value of each production line by comprehensive analysis based on the performance evaluation value of each production equipment of each production line and the working data of each production line includes: the working data of each production line includes the defective rate of each production line and the production cycle of each production line; obtaining the critical performance evaluation value, critical defective rate and critical production cycle of each production equipment from the forging management database; and obtaining the working evaluation value of each production line by comprehensive analysis.

[0047] In this embodiment, the defective rate refers to the ratio of the number of defective products in a product to the number of all products, which can be calculated by counting the number of defective products and the total output on the production line, that is, the defective rate is the ratio of the number of defective products to the total number of products; the production cycle refers to the total time required from the input of raw materials to the completion of the product, which can be obtained by recording the time from the start to the end of each production batch. Among them, an increase in the defective rate may lead to an extension of the production cycle, because defective products need to be reprocessed or scrapped, which will take up additional time and resources; the performance of production equipment directly affects the quality and production efficiency of the product. Equipment with good performance can produce higher quality products and shorten the production cycle. By comprehensively analyzing the defective rate, production cycle and production equipment performance evaluation value of each production line, the work evaluation value of each production line can be accurately obtained, and this evaluation value can reflect the overall performance and efficiency level of the production line.

[0048] Furthermore, the work evaluation value of each production line is obtained as follows: ; In the formula, represents the work evaluation value of the i-th production line, Indicates the production line work evaluation influencing factor corresponding to the defective product rate, Indicates the production line work evaluation influencing factor corresponding to the production cycle, Indicates the production line work evaluation influencing factor corresponding to the production equipment performance evaluation value, represents the defective rate of the i-th production line, represents the critical defective rate, represents the production cycle of the i-th production line, represents the critical production cycle, represents the performance evaluation value of the jth production equipment of the i-th production line, represents the critical performance evaluation value of the jth production equipment, and e is a natural constant.

[0049] In this embodiment, , and The influencing factors of production line work evaluation corresponding to the defective rate, production cycle and production equipment performance evaluation values ​​preset in the forging management database are numerical indicators that measure the influence of the above information on the production line work evaluation value. Specifically, the system constructs a mapping relationship table for each defective rate, production cycle and production equipment performance evaluation value. The table records each possible equipment performance factor value and its corresponding production line work evaluation influence factor. These mapping relationships can be one-to-one or many-to-one. In actual applications, when it is necessary to evaluate the performance evaluation value of a certain production equipment, the measured defective rate, production cycle and production equipment performance evaluation value can be input into their respective corresponding mapping relationship tables, and the production line work evaluation influence factors corresponding to these values ​​can be quickly found, where the value range of the influence factor is between 0 and 1.

[0050] Furthermore, the step of adjusting feedback according to the work evaluation value of each production line includes: comparing the work evaluation value of each production line with the production line work evaluation threshold; if the work evaluation value of a production line is greater than or equal to the production line work evaluation threshold, no additional operation is performed; if the work evaluation value of a production line is less than the production line work evaluation threshold, equipment scheduling is performed on the production line based on the idle production equipment information.

[0051] In this embodiment, the idle production equipment information includes the number of idle production equipment and the status of idle production equipment. During the equipment scheduling process, the various production equipment in the production line can be sorted from small to large according to the production equipment performance evaluation value, and the equipment scheduling can be performed on each production equipment in the sorting order, wherein the equipment scheduling can include allocating idle equipment from other production lines, replacing faulty equipment or upgrading equipment, etc. After the equipment scheduling process, the working status of the production line is continuously monitored to ensure that the equipment scheduling achieves the expected effect. By comparing the working evaluation value of each production line with the set threshold, the production line with low production efficiency can be discovered in time, and corresponding adjustment measures can be taken to improve the overall production efficiency; for the production line whose working evaluation value is lower than the threshold, through the equipment scheduling process, the idle production equipment can be reasonably utilized to avoid equipment idleness and achieve optimal allocation of resources.

[0052] like Figure 3 As shown, it is a structural schematic diagram of the intelligent production monitoring and management system of aviation ring forgings provided in an embodiment of the present application. The intelligent production monitoring and management system of aviation ring forgings provided in an embodiment of the present application includes: a data acquisition module, a data processing module, an adjustment feedback module and a forging management database.

[0053] In summary, the embodiment of the present application obtains intelligent ring forging production equipment, marks it as each production equipment of each production line, collects the working environment data of each production line, the performance data of each production equipment of each production line and the working data of each production line; obtains the working environment evaluation value of each production line according to the comprehensive analysis of the working environment data of each production line, and obtains the working evaluation threshold of each production line according to the matching of the working environment evaluation value of each production line, obtains the performance evaluation value of each production equipment of each production line according to the comprehensive analysis of the performance data of each production equipment of each production line, and adjusts and feedbacks according to the performance evaluation value of each production equipment of each production line, obtains the working evaluation value of each production line according to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line; adjusts and feedbacks according to the working evaluation value of each production line, thereby achieving a significant improvement in production efficiency and optimization of resource utilization.

[0054] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0055] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0056] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0057] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0058] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0059] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. Intelligent production monitoring and management method for aviation ring forgings, characterized in that: The following steps are involved: Obtain intelligent ring forging production equipment, mark it as each production equipment of each production line, collect working environment data of each production line, performance data of each production equipment of each production line and working data of each production line; According to the comprehensive analysis of the working environment data of each production line, the working environment evaluation value of each production line is obtained, and the working evaluation threshold of each production line is obtained according to the matching of the working environment evaluation value of each production line. According to the comprehensive analysis of the performance data of each production equipment of each production line, the performance evaluation value of each production equipment of each production line is obtained, and adjustment feedback is performed according to the performance evaluation value of each production equipment of each production line. According to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line, the working evaluation value of each production line is obtained; Adjust feedback based on the work evaluation value of each production line.

2. The intelligent production monitoring and management method of aviation ring forgings according to claim 1, characterized in that: The step of obtaining the working environment evaluation value of each production line according to the comprehensive analysis of the working environment data of each production line comprises: The working environment data of each production line includes the working temperature of each production line, the air flow rate of each production line and the particle concentration of each production line; Obtain reference working temperature, allowable deviation working temperature, reference air flow rate, allowable deviation air flow rate and critical particle concentration from a forging management database; Comprehensive analysis is performed to obtain the working environment assessment value of each production line.

3. The intelligent production monitoring and management method of aviation ring forgings according to claim 1, characterized in that: The step of obtaining the work evaluation threshold of each production line according to the work environment evaluation value of each production line includes: The working environment evaluation value of each production line is matched with the production line working evaluation threshold corresponding to each working environment evaluation value interval stored in the forging management database to obtain the production line working evaluation threshold of each production line.

4. The intelligent production monitoring and management method of aviation ring forgings according to claim 1, characterized in that: The step of obtaining the performance evaluation value of each production equipment of each production line according to the comprehensive analysis of the performance data of each production equipment of each production line comprises: The performance data of each production equipment of each production line includes the vibration frequency of each production equipment of each production line, the operating time of each production equipment of each production line and the production time of each production equipment of each production line; Obtain the reference vibration frequency of each production equipment, the allowable deviation vibration frequency of each production equipment, the critical operation time of each production equipment, and the critical production time of each production equipment from the forging management database; Comprehensive analysis is performed to obtain the performance evaluation value of each production equipment on each production line.

5. The intelligent production monitoring and management method of aviation ring forgings according to claim 1, characterized in that: The step of adjusting and feeding back the performance evaluation value of each production equipment of each production line comprises: Obtaining the performance evaluation threshold of each production equipment from the forging management database; The performance evaluation value of each production equipment on each production line is compared with the performance evaluation threshold of each production equipment. If the performance evaluation value of a production equipment on a production line is greater than or equal to the performance evaluation threshold of the production equipment, no additional operation is performed. If the performance evaluation value of a production equipment on a production line is less than the performance evaluation threshold of the production equipment, the production equipment is marked as an abnormal equipment, and the abnormal production equipment on each production line is statistically obtained, and adjustment feedback is performed on the abnormal production equipment on each production line.

6. The intelligent production monitoring and management method of aviation ring forgings according to claim 5, characterized in that: The step of providing feedback to each abnormal production equipment of each production line includes: Obtain the total number of abnormal production equipment on each production line, and compare the total number of abnormal production equipment on each production line with the total number threshold of abnormal production equipment preset in the forging management database. If the total number of abnormal production equipment on a production line is greater than or equal to the total number threshold of abnormal production equipment, the production activity of the production line is terminated and an early warning is issued; If the total number of abnormal production equipment in a production line is less than the total number threshold of abnormal production equipment, the performance evaluation threshold of each production equipment is subtracted from the equipment performance evaluation value of each abnormal production equipment, and the difference is calculated as the equipment performance evaluation difference of each abnormal production equipment; The equipment performance evaluation difference of each abnormal production equipment is matched with the abnormal level corresponding to the equipment performance evaluation difference range of each abnormal production equipment preset in the forging management database to obtain the abnormal level of each abnormal production equipment, and feedback adjustment is performed on each abnormal production equipment according to the abnormal level of each abnormal production equipment.

7. The intelligent production monitoring and management method of aviation ring forgings according to claim 1, characterized in that: The step of obtaining the working evaluation value of each production line according to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line comprises: The working data of each production line includes the defective product rate of each production line and the production cycle of each production line; Obtain critical performance evaluation values, critical defective product rates and critical production cycles of each production equipment from the forging management database; Comprehensive analysis is performed to obtain the performance evaluation value of each production line.

8. The intelligent production monitoring and management method of aviation ring forgings according to claim 7, characterized in that: The method for obtaining the work evaluation value of each production line is as follows: ； In the formula, represents the work evaluation value of the i-th production line, Indicates the production line work evaluation influencing factor corresponding to the defective product rate, Indicates the production line work evaluation influencing factor corresponding to the production cycle, Indicates the production line work evaluation influencing factor corresponding to the production equipment performance evaluation value, represents the defective rate of the i-th production line, represents the critical defective rate, represents the production cycle of the i-th production line, represents the critical production cycle, represents the performance evaluation value of the jth production equipment of the i-th production line, represents the critical performance evaluation value of the j-th production equipment, e is a natural constant, i is the number of each production line, i=1,2,3,...,N, N is the total number of production lines, j is the number of each production equipment, j=1,2,3,...,M, M is the total number of production equipment.

9. The intelligent production monitoring and management method of aviation ring forgings according to claim 1, characterized in that: The step of adjusting feedback according to the work evaluation value of each production line includes: The work evaluation value of each production line is compared with the production line work evaluation threshold. If the work evaluation value of a production line is greater than or equal to the production line work evaluation threshold, no additional operation is performed. If the work evaluation value of a production line is less than the production line work evaluation threshold, the equipment scheduling of the production line is performed according to the idle production equipment information.

10. An intelligent production monitoring and management system for aviation ring forgings, using the intelligent production monitoring and management method for aviation ring forgings as claimed in any one of claims 1 to 9, characterized in that: It includes data acquisition module, data processing module, adjustment feedback module and forging management database; Among them, the data acquisition module is used to acquire intelligent ring forging production equipment, marked as each production equipment of each production line, and collect the working environment data of each production line, the performance data of each production equipment of each production line, and the working data of each production line; The data processing module is used to obtain the working environment evaluation value of each production line according to the comprehensive analysis of the working environment data of each production line, and obtain the working evaluation threshold of each production line according to the matching of the working environment evaluation value of each production line, obtain the performance evaluation value of each production equipment of each production line according to the comprehensive analysis of the performance data of each production equipment of each production line, and adjust feedback according to the performance evaluation value of each production equipment of each production line, and obtain the working evaluation value of each production line according to the comprehensive analysis of the performance evaluation value of each production equipment of each production line and the working data of each production line; The adjustment feedback module is used to perform adjustment feedback according to the work evaluation value of each production line.

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