Mechanical automation scheduling test method and system

Abstract

The invention discloses a mechanical automation scheduling test method and system, and relates to the field of mechanical electronic data processing. The method comprises the following steps that the machining process is monitored, and machining parameter data are obtained; the drilling machining condition is analyzed; an edge milling qualification degree evaluation index is obtained according to the machining parameter data, and the edge milling machining condition is analyzed; machining adjustment is conducted according to the drilling machining condition and the edge milling machining condition; after machining adjustment is finished, mechanical task completion condition parameter data are obtained; and according to the mechanical task completion condition parameter data, analyzing the mechanical task completion condition and performing scheduling. According to the invention, the mechanical task completion condition is analyzed and scheduled according to the mechanical task completion condition parameter data, so that the effects of reasonably scheduling according to the state of the equipment and task requirements and improving the production efficiency are achieved; the problem that in the prior art, reasonable scheduling cannot be conducted according to the state of equipment and task requirements, and consequently production efficiency is low is solved.

Description

Technical Field

[0001] The present invention relates to the field of mechanical electronic data processing, and in particular to a mechanical automation scheduling test method and system. Background Art

[0002] Mechanical automation scheduling refers to the use of computer technology and automation equipment to intelligently schedule and control mechanical equipment to achieve efficient operation of the production process and optimal use of resources. In the field of industrial production, the mechanical automation scheduling system can help enterprises realize the reasonable arrangement of production plans, automatic allocation of production tasks, intelligent scheduling of equipment and other functions, and improve production efficiency and product quality. With the advancement of Industry 4.0 and intelligent manufacturing, the application of mechanical automation in production and manufacturing is becoming more and more extensive. In the mechanical processing process, there are multiple processes such as casting, forging, welding, turning, milling, drilling and grinding. Among them, the specific process of drilling is: according to the requirements of workpiece material, aperture size, hole depth and processing accuracy, select a suitable drill bit, set reasonable processing parameters, clamp the workpiece on the machine tool, ensure the processing position and processing accuracy of the workpiece, and process the workpiece; the specific process of milling is: select a suitable milling cutter, determine the processing parameters, including milling speed, feed speed, cutting depth, etc., clamp the workpiece, and perform milling.

[0003] The existing mechanical scheduling system obtains an energy-saving optimization strategy and realizes the mechanical scheduling function through the scheduling objective function module, basic database, scheduling rule library, initial scheduling execution module, energy-saving optimization rule library, energy-saving optimization module, and scheduling solution library.

[0004] For example, the invention patent with announcement number: CN103390195B announces a mechanical workshop task scheduling energy-saving optimization system based on reinforcement learning, including: scheduling objective function module, basic database, scheduling rule base, initial scheduling execution module, energy-saving optimization rule base, energy-saving optimization module, and scheduling solution base. First, set the scheduling target in the scheduling objective function module, select scheduling rules from the scheduling rule base and use the basic data of the basic database to perform the initial scheduling in the initial scheduling execution module to obtain the initial scheduling solution; then, input the scheduling expert's energy-saving optimization experience from the system external knowledge expansion interface to obtain the energy-saving optimization rules; at the same time, establish a learning environment in the energy-saving optimization module, including the workshop energy consumption model, processing time model and scheduling solution evaluation model; finally, obtain an energy-saving optimization strategy for the initial scheduling solution through the interaction between the Q learning controller and the learning environment.

[0005] For example, the invention patent with announcement number: CN112257163B discloses an integrated air-ground-ground intelligent dispatching and command system and method for road earthwork construction, which includes: using the coordination of air, space and ground base stations to control the position of on-site machinery in real time based on drone scanning three-dimensional modeling and automatic measurement of earthwork volume after Beidou satellite and drone positioning and marking, and using dispatching optimization principles and automatic construction plan generation technology to generate and optimize dispatching plans for road construction machinery based on the established optimization rule library model, and summarize them to the on-site mobile command vehicle center for real-time on-site management and dispatching, generate personalized information, and send it to each machine end for commanding operations through the on-site communication command function to establish a complete integrated mobile intelligent command and dispatch center.

[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, there are many steps in the specific process of mechanical processing, such as casting, forging, welding, turning, milling, drilling, grinding, assembly and heat treatment, among which the drilling process in mechanical processing may encounter a variety of problems, including: poor quality of drill bit or unsuitable for workpiece material, insufficient or unsuitable supply of cutting fluid, too fast feed speed or incorrect cutting parameters, etc., resulting in wear or failure of drill bit cutting, uneven grinding of drill bit or quality problems, vibration or machine tool stability problems during processing, etc., resulting in poor hole shape or obvious processing marks; in the process of milling edge, some problems may be encountered, including: inaccurate workpiece clamping and positioning, processing error caused by the runout of drill bit or milling cutter, and substandard processing accuracy caused by the radial runout of machine tool worktable or spindle, poor tool or drill bit guidance, changes in the relative position of workpiece or tool, and accuracy problems of machine tool guide rails, etc., resulting in deviation of processing trajectory. In addition, the accuracy of processes such as milling edge and hole digging will also affect the qualification of the product, resulting in the impact on the production efficiency of the product, resulting in low production efficiency, consuming more time and resources, and not conducive to improving mechanical processing efficiency and saving economic expenditure. In addition to the above problems, when the scheduling of mechanical processing such as milling and drilling is unreasonable, it will also lead to low production efficiency. Since the existing mechanical scheduling system cannot grasp the equipment operation status and production progress in real time, it is difficult to adjust and optimize the mechanical equipment in time to improve the processing efficiency of mechanical products. There is a problem of inability to make reasonable scheduling according to the equipment status and task requirements, resulting in low production efficiency. Summary of the invention

[0007] The embodiments of the present application provide a mechanical automation scheduling test method and system to solve the problem in the prior art that reasonable scheduling cannot be performed according to the status of the equipment and task requirements, resulting in low production efficiency. Reasonable scheduling is achieved according to the status of the equipment and task requirements, thereby improving production efficiency.

[0008] An embodiment of the present application provides a mechanical automation scheduling test method, comprising the following steps: monitoring the mechanical processing process and obtaining mechanical processing parameter data; obtaining a drilling qualification evaluation index based on the mechanical processing parameter data and analyzing the drilling processing situation; obtaining a milling qualification evaluation index based on the mechanical processing parameter data and analyzing the milling processing situation; performing mechanical processing adjustments based on the drilling processing situation and the milling processing situation; obtaining mechanical task completion status parameter data after the mechanical processing adjustment is completed; analyzing the mechanical task completion status based on the mechanical task completion status parameter data and performing scheduling.

[0009] Furthermore, the specific analysis process of obtaining a drilling qualification evaluation index based on the machining parameter data and analyzing the drilling processing situation is as follows: obtaining drilling qualification parameter data based on the machining parameter data; normalizing the drilling qualification parameter data; analyzing the normalized drilling qualification parameter data to obtain a drilling qualification evaluation index, wherein the drilling qualification evaluation index is used to reflect the qualification of the drilling processing; and analyzing the drilling processing situation based on the drilling qualification evaluation index.

[0010] Furthermore, the specific analysis process of analyzing the drilling processing situation according to the drilling qualification assessment index is: obtaining the drilling qualification assessment index, obtaining the drilling qualification assessment threshold, when the drilling qualification assessment index is greater than the drilling qualification assessment threshold, it indicates that the drilling processing situation is normal; when the drilling qualification assessment index is not greater than the drilling qualification assessment threshold, it indicates that the drilling processing situation is abnormal.

[0011] Furthermore, the specific analysis process of obtaining the edge milling qualification evaluation index based on the machining parameter data and analyzing the edge milling processing situation is: obtaining the edge milling qualification parameter data based on the machining parameter data; performing data processing on the edge milling qualification parameter data; obtaining the edge milling qualification evaluation index based on the processed edge milling qualification parameter data, wherein the edge milling qualification evaluation index is used to reflect the qualification degree of the edge milling processing; analyzing the edge milling processing situation based on the edge milling qualification evaluation index.

[0012] Furthermore, the specific analysis process of analyzing the milling processing situation according to the milling edge qualification assessment index is: obtain the milling edge qualification assessment index, obtain the milling edge qualification assessment threshold, when the milling edge qualification assessment index is less than the milling edge qualification assessment threshold, it indicates that the milling edge processing situation is normal; when the milling edge qualification assessment index is not less than the milling edge qualification assessment threshold, it indicates that the milling edge processing situation is abnormal.

[0013] Furthermore, the specific analysis process of adjusting the mechanical processing according to the drilling processing conditions and the milling processing conditions is as follows: when the drilling processing conditions indicate that the drilling processing conditions are abnormal, the drilling equipment is adjusted, and the drilling processing is performed again after the drilling equipment is adjusted, and the steps of obtaining the drilling qualification parameter data according to the mechanical processing parameter data and analyzing the drilling processing conditions according to the drilling qualification evaluation index are repeated; when the drilling processing conditions are normal, the drilling equipment is no longer adjusted; when the milling processing conditions indicate that the milling processing conditions are abnormal, the milling equipment is adjusted, and the milling processing is performed again after the milling equipment is adjusted, the milling processing conditions are analyzed, and the process of adjusting the milling equipment to analyzing the milling processing conditions is repeated; when the milling processing conditions are analyzed to show that the milling processing conditions are normal, the adjustment of the milling equipment is ended.

[0014] Furthermore, the specific analysis process of analyzing the mechanical task completion status and performing scheduling based on the mechanical task completion status parameter data is: obtaining the mechanical task completion status parameter data and performing preprocessing; analyzing the preprocessed mechanical task completion status parameter data to obtain a mechanical task completion status evaluation index, wherein the mechanical task completion status evaluation index is used to reflect the degree of completion of the mechanical task; analyzing the mechanical task completion status and performing scheduling based on the mechanical task completion status evaluation index.

[0015] Furthermore, the specific analysis process of analyzing the completion status of the mechanical task and performing scheduling according to the mechanical task completion evaluation index is as follows: obtaining the mechanical task completion evaluation index, obtaining the mechanical task completion evaluation threshold, when the mechanical task completion evaluation index is less than the mechanical task completion evaluation threshold, it indicates that the mechanical task completion is qualified and no mechanical scheduling is performed; when the mechanical task completion evaluation index is not less than the mechanical task completion evaluation threshold, it indicates that the mechanical task completion is unqualified and mechanical scheduling is performed, during the mechanical scheduling, the mechanical processing process is repeatedly monitored and the mechanical processing parameter data is obtained, and the mechanical task completion status is analyzed according to the mechanical task completion evaluation index and the scheduling is performed, and when the mechanical task completion status indicates that the mechanical task completion is qualified, the mechanical scheduling is stopped.

[0016] Furthermore, the specific method for obtaining the drilling qualification evaluation index is as follows: perform drilling processing in a preset time period; perform multiple data collection on the processed products, the processed products include drilling products and milling products, and number the data collection times; obtain the number of drilling equipment for drilling processing, and number the drilling equipment; obtain the number of drilling products processed by the drilling equipment, and number the drilling products; obtain drilling qualification parameter data; construct a drilling qualification evaluation index calculation formula based on the drilling qualification parameter data; the specific drilling qualification evaluation index calculation formula is: In the formula, Expressed as The drilling qualification evaluation index of each drilling equipment, Indicates the drilling equipment number. , Expressed as the total number of drilling equipment, Expressed as Drilling equipment No. Drilling products in The actual hole diameter of the drilling product at the time of data collection, Indicated as drilling product number, , Expressed as the total number of drilling products, It represents the number of data collection times. , It is expressed as the total number of data collection times, Expressed as Drilling equipment No. Drilling products in The actual hole depth of the drilling product at the time of data collection, Expressed as Drilling equipment No. Standard hole diameter of drilling products for each drilling product, Expressed as Drilling equipment No. The standard hole depth of each drilling product is It is expressed as the weight ratio of the actual hole diameter of the drilling product in the drilling qualification evaluation index. It is expressed as the weight ratio of the actual hole depth of the drilling product in the drilling qualification evaluation index. Expressed as a natural constant.

[0017] The embodiment of the present application provides a mechanical automation scheduling test system, including: a monitoring and acquisition module, a drilling analysis module, a milling edge analysis module, an adjustment module, a parameter acquisition module and a mechanical scheduling module; the monitoring and acquisition module is used to monitor the mechanical processing process and obtain mechanical processing parameter data; the drilling analysis module is used to obtain a drilling qualification evaluation index according to the mechanical processing parameter data and analyze the drilling processing situation; the milling edge analysis module is used to obtain a milling edge qualification evaluation index according to the mechanical processing parameter data and analyze the milling edge processing situation; the adjustment module is used to adjust the mechanical processing according to the drilling processing situation and the milling edge processing situation; the parameter acquisition module is used to obtain the parameter data of the mechanical task completion status after the mechanical processing adjustment is completed; the mechanical scheduling module is used to analyze the mechanical task completion status according to the parameter data of the mechanical task completion status and perform scheduling.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By obtaining the drilling qualification evaluation index according to the machining parameter data and analyzing the drilling processing situation, obtaining the milling qualification evaluation index according to the machining parameter data and analyzing the milling processing situation, the machining adjustment is carried out according to the drilling processing situation and the milling processing situation, and the mechanical task completion parameter data is obtained after the machining adjustment is completed, so as to analyze the mechanical task completion status and perform scheduling according to the mechanical task completion parameter data, thereby realizing reasonable scheduling according to the equipment status and task requirements, improving production efficiency, and effectively solving the problem of low production efficiency caused by the inability to perform reasonable scheduling according to the equipment status and task requirements in the prior art.

[0019] 2. Obtain drilling qualification parameter data based on mechanical processing parameter data, normalize the drilling qualification parameter data, analyze the normalized drilling qualification parameter data to obtain a drilling qualification evaluation index, analyze the drilling processing situation based on the drilling qualification evaluation index, and adjust the drilling equipment based on the drilling processing situation, thereby achieving a more accurate drilling processing of the adjusted drilling equipment.

[0020] 3. By obtaining the parameter data of mechanical task completion and preprocessing it, the preprocessed parameter data of mechanical task completion is analyzed to obtain the mechanical task completion evaluation index, and then the mechanical task completion is analyzed and scheduled according to the mechanical task completion evaluation index, thereby making the arrangement of mechanical processing more reasonable after scheduling and making full use of the machinery. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart of a mechanical automation scheduling test method provided in an embodiment of the present application; Figure 2 A graph of the drilling qualification evaluation index provided in the embodiment of the present application; Figure 3 A schematic diagram of the structure of a mechanical automation scheduling test system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiments of the present application provide a mechanical automation scheduling test method and system to solve the problem in the prior art that reasonable scheduling cannot be performed according to the status of the equipment and task requirements, resulting in low production efficiency. The method obtains a drilling qualification evaluation index based on the mechanical processing parameter data and analyzes the drilling processing situation, obtains a milling qualification evaluation index based on the mechanical processing parameter data and analyzes the milling processing situation, performs mechanical processing adjustments based on the drilling processing situation and the milling processing situation, obtains mechanical task completion status parameter data after the mechanical processing adjustment is completed, and analyzes the mechanical task completion status and performs scheduling based on the mechanical task completion status parameter data, thereby achieving reasonable scheduling according to the status of the equipment and task requirements and improving production efficiency.

[0023] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of low production efficiency caused by failure to perform reasonable scheduling according to the status of the equipment and task requirements. The overall idea is as follows: By monitoring the machining process and obtaining machining parameter data; obtaining drilling qualification parameter data based on the machining parameter data; normalizing the drilling qualification parameter data; analyzing the normalized drilling qualification parameter data to obtain a drilling qualification evaluation index; analyzing the drilling processing situation based on the drilling qualification evaluation index; obtaining milling edge qualification parameter data based on the machining parameter data; processing the milling edge qualification parameter data; obtaining the milling edge qualification evaluation index based on the processed milling edge qualification parameter data; analyzing the milling edge processing situation based on the milling edge qualification evaluation index; adjusting the machining according to the drilling processing situation and the milling edge processing situation; obtaining the mechanical task completion parameter data after the machining adjustment; obtaining the mechanical task completion parameter data and preprocessing it; analyzing the preprocessed mechanical task completion parameter data to obtain the mechanical task completion evaluation index; analyzing the mechanical task completion situation and scheduling it based on the mechanical task completion evaluation index, it is achieved that reasonable scheduling is carried out according to the equipment status and task requirements and production efficiency is improved.

[0024] 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.

[0025] like Figure 1As shown, it is a flow chart of a mechanical automation scheduling test method provided in an embodiment of the present application, and the method includes the following steps: monitoring the mechanical processing process and obtaining mechanical processing parameter data; obtaining a drilling qualification evaluation index based on the mechanical processing parameter data and analyzing the drilling processing situation; obtaining a milling edge qualification evaluation index based on the mechanical processing parameter data and analyzing the milling edge processing situation; performing mechanical processing adjustments according to the drilling processing situation and the milling edge processing situation; obtaining mechanical task completion status parameter data after the mechanical processing adjustment is completed; analyzing the mechanical task completion status according to the mechanical task completion status parameter data and performing scheduling.

[0026] In this embodiment, there are many types of machines, and each type of machine performs different functions, including welding, cutting, grinding, drilling, assembly and other functions. Since the number and sequence of machines performing each function are different, if no reasonable arrangement is made, the speed and efficiency of the mechanical processing will be affected. Therefore, it is necessary to reasonably schedule the mechanical processing process.

[0027] Furthermore, the specific analysis process of obtaining the drilling qualification evaluation index based on the mechanical processing parameter data and analyzing the drilling processing situation is as follows: obtaining the drilling qualification parameter data based on the mechanical processing parameter data; normalizing the drilling qualification parameter data; analyzing the normalized drilling qualification parameter data to obtain the drilling qualification evaluation index, which is used to reflect the qualification degree of the drilling processing; and analyzing the drilling processing situation based on the drilling qualification evaluation index.

[0028] In this embodiment, the drilling qualification parameter data are normalized. Before normalization, missing values ​​in the data need to be processed to avoid affecting the normalization process. Then, the drilling qualification parameter data are normalized using Min-Max Scaling or Z-score normalization, and the comparison between the drilling qualification parameter data is made more reasonable, thereby avoiding errors in the drilling qualification evaluation index that may be caused by not normalizing the drilling qualification parameter data when the drilling qualification parameter data have different magnitudes.

[0029] Furthermore, the drilling qualification evaluation index can be obtained through a variety of methods, including but not limited to: by calculating the deviation between the actual processing size and the design size, evaluating whether the dimensional accuracy of the hollowed-out part is within the tolerance range, using numerical methods (such as iteration method, finite element method, etc.) to evaluate the deviation between the actual shape and the ideal shape of the hollowed-out part, and evaluating the surface quality through statistical analysis of the surface roughness profile (such as arithmetic mean, standard deviation, etc.), and combining dimensional accuracy evaluation, geometric accuracy evaluation and surface quality evaluation to obtain the drilling qualification evaluation index. The drilling qualification evaluation index can also be obtained by calculation. The specific method for obtaining the drilling qualification evaluation index is: perform drilling processing in a preset time period; collect data on the processed products multiple times, and the processed products include drilling products and milling products, and number the data collection times; obtain the number of drilling equipment for drilling processing and number the drilling equipment; obtain the number of drilling products processed by the drilling equipment and number the drilling products; obtain drilling qualification parameter data; construct a drilling qualification evaluation index calculation formula based on the drilling qualification parameter data; the specific drilling qualification evaluation index calculation formula is: In the formula, Expressed as The drilling qualification evaluation index of each drilling equipment, Indicates the drilling equipment number. , Expressed as the total number of drilling equipment, Expressed as Drilling equipment No. Drilling products in The actual hole diameter of the drilling product at the time of data collection, Indicated as drilling product number, , Expressed as the total number of drilling products, It represents the number of data collection times. , It is expressed as the total number of data collection times, Expressed as Drilling equipment No. Drilling products in The actual hole depth of the drilling product at the time of data collection, Expressed as Drilling equipment No. Standard hole diameter of drilling products for each drilling product, Expressed as Drilling equipment No. The standard hole depth of each drilling product is It is expressed as the weight ratio of the actual hole diameter of the drilling product in the drilling qualification evaluation index. It is expressed as the weight ratio of the actual hole depth of the drilling product in the drilling qualification evaluation index. Expressed as a natural constant.

[0030] In this embodiment, Refers to the differential function, which determines the specific value of the weight by using paired comparisons of the actual hole diameter and actual hole depth of the drilling product, constructing a judgment matrix, calculating the weight and consistency ratio, etc. and The value range of is (0, 1) and satisfies and The sum is equal to 1.

[0031] The hole diameter refers to the diameter size, and the unit is usually millimeter (mm), such as 10mm, 20mm, etc. The hole depth refers to the distance that the hole penetrates into the workpiece, and the unit is also millimeter (mm), such as 50mm, 100mm, etc. In practical applications, appropriate measuring tools and equipment can be selected according to the accuracy and degree of automation required for processing. For products with high precision requirements, high-precision equipment such as coordinate measuring machines (CMM), laser measurement technology and micrometers are usually required to measure the hole diameter and hole depth. For products with general precision requirements, simple tools such as calipers and micrometers can meet the needs. The actual hole diameter and actual hole depth of the drilled product refer to the hole diameter and hole depth of the drilled product after the drilling equipment is processed. The hole diameter and hole depth of the drilled product are measured by using three-coordinate measuring machines (CMM), laser measurement technology and micrometers to obtain the actual hole diameter and actual hole depth of the drilled product. The standard hole diameter and standard hole depth of the drilling product can be obtained by referring to the drilling product requirement manual or measuring the samples of the drilling product using a three-dimensional coordinate measuring machine (CMM), laser measurement technology and a micrometer.

[0032] The control of hole diameter and hole depth is directly related to the processing accuracy. If the hole diameter is too large or too small, or the hole depth is inconsistent, the processed part may not meet the design requirements. The control of hole diameter and hole depth also affects the surface quality of the workpiece; larger hole diameter and hole depth may increase the surface roughness, affecting the appearance and performance. The processing conditions of hole diameter and hole depth directly affect the processing efficiency; larger hole diameter and hole depth may require longer processing time, increasing production costs. Therefore, by converting multiple related but different measurement data such as the actual hole diameter and actual hole depth of the drilling product into a single drilling qualification evaluation index, this embodiment uses a quantitative method to evaluate and compare the drilling qualification of different drilling equipment. For the algorithm of this embodiment, nonlinear transformation is used, which can help smooth the impact of outliers, reduce the distortion of extreme cases on the overall evaluation, and make the calculated drilling qualification evaluation index more stable and reliable.

[0033] like Figure 2 As shown, it is a drilling qualification evaluation index curve provided in the embodiment of the present application, with the actual hole diameter of the drilling product as the independent variable and the drilling qualification evaluation index as the dependent variable. Through the increase and decrease analysis of curve T, curve Y and curve G, it can be known that when the actual hole diameter of the drilling product is closer to the standard hole diameter of the drilling product, the larger the drilling qualification evaluation index is, and the higher the drilling processing qualification is; when the actual hole diameter of the drilling product is farther from the standard hole diameter of the drilling product, the smaller the drilling qualification evaluation index is, and the lower the drilling processing qualification is. The statistical table of relevant data of the drilling qualification evaluation index is shown in Table 1: Table 1 Statistics of relevant data of drilling qualification evaluation index

[0034] It can be seen from Table 1 that in curve G, when other parameters are the same, the closer the actual hole diameter of the drilling product is to the standard hole diameter of the drilling product, that is, when the actual hole diameter of the drilling product is 3.5mm, 4mm and 4.5mm respectively, the drilling qualification evaluation index is 0.13, 0.21 and 0.41 respectively, and the drilling qualification evaluation index gradually increases; similarly, when the actual hole diameter of the drilling product is farther from the standard hole diameter of the drilling product, the drilling qualification evaluation index is smaller. The above changes are also applicable to curves Y and T.

[0035] For curve T, curve Y and curve G, when the actual hole diameters of the drilling products of curve T, curve Y and curve G are all 4mm, when the actual hole depths of the drilling products of curve T, curve Y and curve G are 14mm, 12mm and 5mm respectively, and other parameters are consistent, the drilling qualification evaluation indexes of curve T, curve Y and curve G are 0.25, 0.22 and 0.21 respectively. It can be seen that when the actual hole diameter of the drilling product is consistent with other parameters, the greater the difference between the actual hole depth of the drilling product and the standard hole depth of the drilling product, the smaller the drilling qualification evaluation index.

[0036] Furthermore, the specific analysis process of analyzing the drilling processing situation according to the drilling qualification assessment index is: obtain the drilling qualification assessment index, obtain the drilling qualification assessment threshold, when the drilling qualification assessment index is greater than the drilling qualification assessment threshold, it indicates that the drilling processing situation is normal; when the drilling qualification assessment index is not greater than the drilling qualification assessment threshold, it indicates that the drilling processing situation is abnormal.

[0037] In this embodiment, we consult experts in the field, set a preliminary threshold value based on historical data or empirical formula, conduct preliminary tests to see whether the results meet expectations, and continuously adjust the threshold value until the optimal value is found to obtain the borehole qualification evaluation threshold value. , when the borehole qualification evaluation index is greater than the borehole qualification evaluation threshold, that is When , it indicates that the drilling process is normal; when the drilling qualification evaluation index is not greater than the drilling qualification evaluation threshold, that is, , it indicates that the drilling process is abnormal.

[0038] Furthermore, the specific analysis process of obtaining the edge milling qualification evaluation index based on the machining parameter data and analyzing the edge milling processing situation is as follows: obtaining the edge milling qualification parameter data based on the machining parameter data; performing data processing on the edge milling qualification parameter data; obtaining the edge milling qualification evaluation index based on the processed edge milling qualification parameter data, and the edge milling qualification evaluation index is used to reflect the qualification degree of the edge milling processing; analyzing the edge milling processing situation based on the edge milling qualification evaluation index.

[0039] In this embodiment, the milling edge qualification parameter data is processed, including data cleaning of the milling edge qualification parameter data, filling or deleting missing data, and correcting obvious errors or abnormal values ​​in the data; the milling edge qualification parameter data is converted so that the data is scaled to a small range so that the influence of different data on the algorithm is at the same level. By processing the milling edge qualification parameter data, the correctness of the milling edge qualification parameter data is improved, which is conducive to obtaining a more accurate milling edge qualification evaluation index.

[0040] The milling edge qualification evaluation index can be obtained by the following methods, including: calculating the ratio of the dimensional deviation to the design dimension to evaluate the qualification, calculating the shape error through parameters such as straightness, roundness, and flatness, evaluating the matching degree between the workpiece surface profile and the ideal profile, and evaluating the efficiency and stability of the milling process by calculating the amount of material removed from the workpiece per unit time, namely the material removal rate (MRR), and combining the above indicators for comprehensive evaluation to obtain the milling edge qualification evaluation index. The milling edge qualification evaluation index can also be obtained by the following calculation. The specific method for obtaining the milling edge qualification evaluation index is: performing milling processing in a preset time period; obtaining the number of milling equipment for milling processing, and numbering the milling equipment; obtaining the number of milling products processed by the milling equipment, and numbering the milling products; obtaining milling edge qualification parameter data; constructing a milling edge qualification evaluation index calculation formula based on the milling edge qualification parameter data; the specific milling edge qualification evaluation index calculation formula is: In the formula, Expressed as The milling qualification evaluation index of each milling equipment, Indicates the milling equipment number. , Expressed as the total number of edge milling equipment, Expressed as The first milling equipment The edge milling products are in The actual milling width of the milling product during the first data collection, Indicated as the milling product number, , Expressed as the total number of milling products, Expressed as The first milling equipment The edge milling products are in The actual milling depth of the milling product during the first data collection, Expressed as The first milling equipment The edge milling products are in The actual milling area of ​​the milling product during the first data collection, Expressed as The first milling equipment The milling width of each milling product is referenced by the milling width. Expressed as The first milling equipment The milling depth of each milling product is referenced. Expressed as The first milling equipment The milling area of ​​each milling product is referenced by the milling area. It is expressed as the weight ratio of the actual milling width of the milling product in the milling qualification evaluation index. It is expressed as the weight ratio of the actual milling depth of the milling product in the milling qualification evaluation index. It is expressed as the weight ratio of the actual milling area of ​​the milling product in the milling qualification evaluation index.

[0041] Fuzzy set theory is used to quantify factors that are difficult to quantify or have unclear concepts. The evaluation results are obtained by constructing an evaluation matrix and a weight vector and performing fuzzy synthesis operations, that is, obtaining the specific value of the weight. , and The value range of is (0, 1) and satisfies , and The sum is equal to 1.

[0042] Milling width (Width) refers to the width of the milling edge, in millimeters (mm), such as 10mm, 20mm, etc. Milling depth (Depth) refers to the distance that the milling edge penetrates into the workpiece, in millimeters (mm), such as 5mm, 10mm, etc. Milling area refers to the surface area of ​​the workpiece that is milled, in square millimeters. The width of the milling plane of the milling product milled by the milling equipment is measured by a vernier caliper, an electronic distance meter, a plug gauge, etc., and the milling width is calculated, which is the actual milling width of the milling product. The milling width is obtained by measuring the sample of the milling product with a vernier caliper, an electronic distance meter, a plug gauge, etc. or by referring to the specification requirements of the milling product, which is the reference milling width of the milling product. The milling depth is obtained by measuring the milling product and the sample of the milling product using a depth gauge, a depth meter, a laser distance meter, an optical projector, etc., which is the actual milling depth of the milling product and the reference milling depth of the milling product. Use a laser scanner or a 3D scanner to scan the processed surface of the milling product and the processed surface of the milling product sample to obtain surface data, and calculate the milling area through computer software to obtain the actual milling area of ​​the milling product and the reference milling area of ​​the milling product.

[0043] If the milling depth increases and the milling width remains unchanged, the cutting amount for each feed will decrease, which may lead to a decrease in machining efficiency. The milling area is the product of the milling width and the milling depth. Therefore, if the milling width or the milling depth is increased, the milling area will also increase accordingly. The selection of milling width and depth directly affects the machining stability. Excessive milling parameters may cause machine tool vibration, reduced machining accuracy and damage to the cutting edge. The milling qualification evaluation index is calculated from three aspects: the actual milling width of the milling product, the actual milling depth of the milling product and the actual milling area of ​​the milling product, so that the milling qualification evaluation index is more comprehensive. At the same time, the algorithm of this embodiment uses nonlinear transformation, which can help smooth the impact of outliers, so that the accuracy of the milling qualification evaluation index is higher.

[0044] Furthermore, the specific analysis process of analyzing the edge milling processing situation according to the edge milling qualification evaluation index is: obtain the edge milling qualification evaluation index, obtain the edge milling qualification evaluation threshold, when the edge milling qualification evaluation index is less than the edge milling qualification evaluation threshold, it indicates that the edge milling processing situation is normal; when the edge milling qualification evaluation index is not less than the edge milling qualification evaluation threshold, it indicates that the edge milling processing situation is abnormal.

[0045] In this embodiment, a set of milling edge qualification evaluation indexes are collected, and the statistics of these data, such as mean, median, standard deviation, etc., are calculated. One or more statistics are selected as references for thresholds, and one or more thresholds are set, such as a certain multiple higher than the mean (for example, 3 times the standard deviation). The effect of the threshold is evaluated, such as using indicators such as recall rate and precision rate. The threshold is adjusted according to the evaluation results to obtain the milling edge qualification evaluation threshold. The milling edge qualification evaluation threshold is obtained. , when the milling edge qualification evaluation index is less than the milling edge qualification evaluation threshold, that is When , it indicates that the milling process is normal; when the milling qualification evaluation index is not less than the milling qualification evaluation threshold, that is , it indicates that the edge milling process is abnormal.

[0046] Furthermore, the specific analysis process for adjusting the mechanical processing according to the drilling processing conditions and the milling processing conditions is as follows: when the drilling processing conditions indicate that the drilling processing conditions are abnormal, the drilling equipment is adjusted, and the drilling processing is performed again after the drilling equipment is adjusted, and the steps of obtaining the drilling qualification parameter data according to the mechanical processing parameter data and analyzing the drilling processing conditions according to the drilling qualification evaluation index are repeated. When the drilling processing conditions are normal, the drilling equipment is no longer adjusted. When the milling processing conditions indicate that the milling processing conditions are abnormal, the milling equipment is adjusted, and the milling processing is performed again after the milling equipment is adjusted, and the milling processing conditions are analyzed. The process of adjusting the milling equipment to analyzing the milling processing conditions is repeated, and when the milling processing conditions are analyzed to show that the milling processing conditions are normal, the adjustment of the milling equipment is ended.

[0047] In this embodiment, the adjustment of the drilling equipment includes: checking and adjusting the tool: confirming whether the tool is sharp, a worn tool will lead to a decrease in processing accuracy, checking whether the tool is installed correctly, an incorrect installation position will affect the accuracy of drilling; adjusting the processing datum: ensuring that the processing datum of the workpiece is aligned with the datum of the machine tool, using a plug gauge or a dial indicator to check the relative position of the workpiece and the machine tool, and making necessary adjustments; checking and calibrating the machine tool: checking whether the worktable of the machine tool is level, the level deviation will affect the verticality of the drilling, checking whether the movement of the slide or the tool holder is smooth and whether there is any deviation, and for machine tools with automatic tool setting function, checking whether the tool setting device is accurate; optimizing processing parameters: adjusting parameters such as speed and feed to ensure that they meet the processing requirements of the material, and changing the flow rate of the coolant to improve the cutting performance of the tool and reduce processing heat; setting a suitable drill guide: using a suitable drill guide device, such as a drill holder, to improve the accuracy of drilling and ensure the correct position and direction of the drill during processing. Use precision measuring tools: Use measuring tools such as calipers, depth gauges, inside and outside diameter micrometers, etc. to measure the processed holes to verify whether the hole size and depth are accurate.

[0048] Adjustments to the milling equipment include: Check and adjust the tool: confirm whether the tool is sharp, worn tools will lead to reduced processing accuracy, check whether the tool is installed correctly, the wrong installation position will affect the accuracy of milling; Check the workpiece clamping: ensure that the workpiece is clamped stably and reliably on the milling machine, use appropriate fixtures to ensure that the workpiece does not shift during processing; Adjust processing parameters: adjust the speed, feed and other parameters of the milling machine to ensure that they meet the processing requirements of the material, change the flow of coolant to improve the cutting performance of the tool and reduce processing heat; Optimize the milling path: analyze whether the milling path is reasonable, avoid unnecessary repeated processing or excessive cutting, and use appropriate milling strategies, such as reverse milling or forward milling, to reduce cutting force and improve processing accuracy. Use precision measuring tools: Use measuring tools such as calipers, plug gauges, special milling edge measuring tools, etc. to measure the processed edges to verify whether the edge width, verticality, etc. are accurate.

[0049] Furthermore, the specific analysis process of analyzing the mechanical task completion status and performing scheduling based on the mechanical task completion status parameter data is as follows: obtaining the mechanical task completion status parameter data and performing preprocessing; analyzing the preprocessed mechanical task completion status parameter data to obtain a mechanical task completion status evaluation index, which is used to reflect the degree of completion of the mechanical task; analyzing the mechanical task completion status and performing scheduling based on the mechanical task completion status evaluation index.

[0050] In this embodiment, the mechanical task completion parameter data is obtained and preprocessed, including data cleaning of the mechanical task completion parameter data, deleting or correcting errors, anomalies and duplicate values ​​in the data, and filling missing values; performing data integration, merging data from different sources together, such as data splicing and merging; using principal component analysis (PCA), t-SNE and other methods to reduce the dimension of the data. Through data conversion and integration, the data is made more normalized and standardized, which helps to discover the potential relationship between data and results and improve the interpretability of data analysis. The data preprocessing process can lay a solid foundation for subsequent data analysis work and make data updating and maintenance more convenient. Preprocessing improves the accuracy of the mechanical task completion parameter data, which is conducive to obtaining a more accurate mechanical task completion evaluation index.

[0051] The mechanical task completion evaluation index can be obtained through the following process, including but not limited to: evaluating the processing accuracy by calculating the dimensional tolerance, shape tolerance and position tolerance, using statistical methods such as standard deviation or root mean square error (RMS) to evaluate the consistency of surface quality, evaluating the productivity by calculating the number of processes completed per unit time, evaluating the scrap rate by calculating the ratio of the number of scraps to the total number of processes, and combining the processing accuracy, surface quality consistency, productivity and scrap rate for comprehensive analysis to obtain the mechanical task completion evaluation index. The mechanical task completion evaluation index can also be obtained through specific calculations. The specific method for obtaining the mechanical task completion evaluation index is: performing mechanical processing in the preset second time period, starting processing at the beginning of the preset second time period, and ending processing at the end of the preset second time period, treating the start processing to the end processing as one mechanical processing, obtaining the number of mechanical processing times, and numbering the number of mechanical processing times; obtaining the number of data acquisition times, and numbering the number of data acquisition times; obtaining the mechanical task completion status parameter data; constructing the mechanical task completion status evaluation index calculation formula based on the mechanical task completion status parameter data; the specific mechanical task completion status evaluation index calculation formula is; In the formula, It is expressed as the evaluation index of mechanical task completion, Expressed as Machining of the first The amount of milling tasks completed during the data acquisition, Indicates the number of machining times. , Expressed as the total number of machining operations, Indicates the number of times data is obtained. , Represents the total number of data acquisitions, Expressed as Machining of the first The amount of hole digging tasks completed during data acquisition, Expressed as Machining of the first The amount of polishing tasks completed at the time of data acquisition, Expressed as The amount of milling tasks to be completed for this machining operation. Expressed as The amount of drilling tasks to be completed for each machining operation. Expressed as The amount of polishing tasks required for machining. It is expressed as the weight ratio of the milling task completion amount in the mechanical task completion evaluation index. It is expressed as the weight ratio of the completion amount of the hole digging task in the evaluation index of the completion of the mechanical task. It is expressed as the weight ratio of the polishing task completion amount in the mechanical task completion evaluation index.

[0052] The importance of each factor is evaluated through historical data or actual operation performance, and based on the concept of information entropy, the weight of each indicator is objectively assigned to obtain the specific value of the weight. , and The value range of is (0, 1) and satisfies , and The sum is equal to 1.

[0053] The amount of milling tasks completed, the amount of hole digging tasks completed and the amount of polishing tasks completed refer to the weight of the product that actually completes the milling tasks during the machining process, the weight of the product that actually completes the milling tasks and the weight of the product that actually completes the milling tasks. The amount of milling tasks to be completed, the amount of hole digging tasks to be completed and the amount of polishing tasks to be completed refer to the weight of the product that is required to complete the milling tasks during the machining process within the preset second time period, the weight of the product that is required to complete the milling tasks and the weight of the product that is required to complete the milling tasks. The corresponding weight data is obtained by weight testing the product that actually completes the milling tasks during the machining process, the product that actually completes the milling tasks and the product that actually completes the milling tasks through platform scales, crane scales, electronic platform scales, electronic crane scales, pressure sensors, strain gauge sensors and other equipment, that is, the amount of milling tasks completed, the amount of hole digging tasks completed and the amount of polishing tasks completed. Obtain products that need to complete milling tasks within the preset second time period, products that have completed milling tasks, and products that have completed milling tasks, and use pressure sensors, strain gauge sensors and other equipment to perform weight tests or consult the mechanical processing task schedule to obtain weight data, that is, to obtain the amount of milling tasks that need to be completed, the amount of hole digging tasks that need to be completed, and the amount of polishing tasks that need to be completed.

[0054] The equipment required for each task is different, and its processing efficiency and capacity will also affect the amount of task completion. For example, if the milling machine is more efficient, then the milling task may be completed in the same amount of time. The order and process arrangement of processing tasks have a direct impact on efficiency. If the process is unreasonable, some equipment may be idle while others are overloaded. Different workpieces have different processing difficulties and precision requirements, which directly affects the processing time. For example, workpieces with complex shapes may take longer to mill the edges. It can be seen that the completion of mechanical tasks is affected by many factors. Therefore, analyzing the three aspects of milling, digging and polishing tasks can give a clearer understanding of the completion of mechanical tasks. By quantifying multiple indicators into a mechanical task completion evaluation index, the completion of mechanical tasks during different times of mechanical processing can be scientifically quantified, which is convenient for specific analysis.

[0055] Furthermore, the specific analysis process of analyzing the completion status of mechanical tasks and performing scheduling according to the mechanical task completion evaluation index is as follows: obtaining the mechanical task completion evaluation index, obtaining the mechanical task completion evaluation threshold, when the mechanical task completion evaluation index is less than the mechanical task completion evaluation threshold, it indicates that the mechanical task completion is qualified and mechanical scheduling is not performed; when the mechanical task completion evaluation index is not less than the mechanical task completion evaluation threshold, it indicates that the mechanical task completion is unqualified and mechanical scheduling is performed, and during the mechanical scheduling, the mechanical processing process is repeatedly monitored and the mechanical processing parameter data is obtained to analyze the mechanical task completion status according to the mechanical task completion evaluation index and perform the scheduling process, and when the mechanical task completion status indicates that the mechanical task completion is qualified, the mechanical scheduling is stopped.

[0056] In this embodiment, multiple thresholds are set, the performance index corresponding to each candidate threshold is calculated, and the threshold with the largest performance index is selected as the optimal threshold. Grid Search or Random Search can also be used to obtain the threshold for evaluating the completion of the mechanical task. The threshold for evaluating the completion of the mechanical task is obtained. , when the mechanical task completion evaluation index is less than the mechanical task completion evaluation threshold, that is When , it means that the mechanical task completion is qualified and no mechanical scheduling is performed; when the mechanical task completion evaluation index is not less than the mechanical task completion evaluation threshold, that is When , it indicates that the completion of the mechanical task is unsatisfactory and mechanical scheduling is required.

[0057] Mechanical scheduling includes: determining the manifestations of unreasonable arrangement of specific mechanical equipment, such as some equipment being too busy or too idle, unreasonable processing sequence, and too long processing time; collecting relevant data, such as the processing capacity, processing time, and processing sequence of each mechanical equipment; clarifying the scheduling goals, such as shortest production cycle, minimized delays, and maximized equipment utilization; establishing mathematical models based on the goals and problem characteristics, such as assembly line balancing problems and Job Shop scheduling problems, using the selected algorithm to solve the scheduling problem, and obtaining the optimal or approximately optimal scheduling plan, implementing the scheduling plan into actual production, and observing the operating effect.

[0058] The rationality evaluation index of mechanical scheduling is obtained by comprehensively analyzing the drilling qualification evaluation index, the milling qualification evaluation index and the mechanical task completion evaluation index. The rationality evaluation index of mechanical scheduling is used to analyze the rationality of mechanical scheduling. By analyzing the drilling qualification evaluation index, the milling qualification evaluation index and the mechanical task completion evaluation index, the rationality of mechanical scheduling is comprehensively analyzed from three aspects: drilling processing, milling processing and mechanical task completion. The inaccurate results of the rationality analysis of mechanical scheduling caused by the single factor analysis of the rationality of mechanical scheduling are avoided, and the rationality of mechanical scheduling is analyzed more comprehensively and accurately. The larger the rationality evaluation index of mechanical scheduling, the higher the rationality of mechanical scheduling; the smaller the rationality evaluation index of mechanical scheduling, the lower the rationality of mechanical scheduling.

[0059] The weight ratios of the drilling qualification evaluation index, the milling qualification evaluation index and the mechanical task completion evaluation index are obtained in the database, and a calculation formula is constructed based on the drilling qualification evaluation index, the milling qualification evaluation index and the mechanical task completion evaluation index. The specific calculation formula for the mechanical scheduling rationality evaluation index is: ; In the formula, It is expressed as the evaluation index of the rationality of mechanical scheduling, Expressed as The drilling qualification evaluation index of each drilling equipment, Expressed as The milling qualification evaluation index of each milling equipment, It is expressed as the evaluation index of mechanical task completion, It is expressed as the drilling qualification evaluation threshold, It is expressed as the threshold value for evaluating the pass level of edge milling. It is represented as the evaluation threshold of mechanical task completion. It is expressed as the weight ratio of the drilling qualification evaluation index in the mechanical scheduling rationality evaluation index. It is expressed as the weight ratio in the evaluation index of the rationality of mechanical scheduling, It is expressed as the weight ratio of the mechanical task completion evaluation index in the mechanical scheduling rationality evaluation index.

[0060] like Figure 3As shown, it is a structural schematic diagram of a mechanical automation scheduling test system provided in an embodiment of the present application. A mechanical automation scheduling test system provided in an embodiment of the present application includes: a monitoring and acquisition module, a drilling analysis module, a milling edge analysis module, an adjustment module, a parameter acquisition module and a mechanical scheduling module; the monitoring and acquisition module is used to monitor the mechanical processing process and obtain the mechanical processing parameter data; the drilling analysis module is used to obtain the drilling qualification evaluation index according to the mechanical processing parameter data and analyze the drilling processing situation; the milling edge analysis module is used to obtain the milling edge qualification evaluation index according to the mechanical processing parameter data and analyze the milling edge processing situation; the adjustment module is used to adjust the mechanical processing according to the drilling processing situation and the milling edge processing situation; the parameter acquisition module is used to obtain the parameter data of the mechanical task completion status after the mechanical processing adjustment is completed; the mechanical scheduling module is used to analyze the mechanical task completion status according to the parameter data of the mechanical task completion status and perform scheduling.

[0061] The technical solution in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: by obtaining drilling qualification parameter data based on mechanical processing parameter data, normalizing the drilling qualification parameter data, analyzing the normalized drilling qualification parameter data to obtain a drilling qualification evaluation index, analyzing the drilling processing situation based on the drilling qualification evaluation index, and adjusting the drilling equipment based on the drilling processing situation, thereby achieving a more accurate drilling processing of the adjusted drilling equipment.

[0062] 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.

[0063] 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.

[0064] 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.

[0065] 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.

[0066] 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.

[0067] 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. A mechanical automation scheduling test method, characterized in that: The following steps are involved: Monitor the machining process and obtain machining parameter data; According to the machining parameter data, the drilling qualification evaluation index is obtained and the drilling processing situation is analyzed; According to the machining parameter data, the milling edge qualification evaluation index is obtained and the milling edge processing situation is analyzed; Make machining adjustments based on drilling and milling conditions; After the machining adjustment is completed, obtain the parameter data of the completion of the mechanical task; Analyze the mechanical task completion status and perform scheduling based on the mechanical task completion parameter data.

2. A mechanical automation scheduling test method as claimed in claim 1, characterized in that: The specific analysis process of obtaining the drilling qualification evaluation index according to the machining parameter data and analyzing the drilling processing situation is as follows: Obtain drilling qualification parameter data according to the machining parameter data; Normalize the drilling qualification parameter data; Analyzing the normalized drilling qualification parameter data to obtain a drilling qualification evaluation index, wherein the drilling qualification evaluation index is used to reflect the qualification of the drilling process; The drilling process is analyzed based on the drilling qualification evaluation index.

3. A mechanical automation scheduling test method as claimed in claim 2, characterized in that: The specific analysis process of analyzing the drilling processing situation according to the drilling qualification evaluation index is as follows: Obtaining a drilling qualification evaluation index and a drilling qualification evaluation threshold. When the drilling qualification evaluation index is greater than the drilling qualification evaluation threshold, it indicates that the drilling process is normal. When the drilling qualification evaluation index is not greater than the drilling qualification evaluation threshold, it indicates that the drilling processing condition is abnormal.

4. A mechanical automation scheduling test method as claimed in claim 1, characterized in that: The specific analysis process of obtaining the edge milling qualification evaluation index according to the machining parameter data and analyzing the edge milling processing situation is as follows: Obtain edge milling qualification parameter data according to machining parameter data; Process the parameter data of edge milling qualification degree; The edge milling qualification degree evaluation index is obtained according to the edge milling qualification degree parameter data after data processing, and the edge milling qualification degree evaluation index is used to reflect the qualification degree of the edge milling process; Analyze the edge milling processing status according to the edge milling qualification evaluation index.

5. A mechanical automation scheduling test method as claimed in claim 4, characterized in that: The specific analysis process of analyzing the edge milling processing situation according to the edge milling qualification evaluation index is as follows: Obtaining the edge milling qualification evaluation index and the edge milling qualification evaluation threshold. When the edge milling qualification evaluation index is less than the edge milling qualification evaluation threshold, it indicates that the edge milling process is normal. When the edge milling qualification evaluation index is not less than the edge milling qualification evaluation threshold, it indicates that the edge milling processing condition is abnormal.

6. A mechanical automation scheduling test method as claimed in claim 1, characterized in that: The specific analysis process of adjusting the machining process according to the drilling and milling conditions is as follows: When the drilling processing condition indicates that the drilling processing condition is abnormal, the drilling equipment is adjusted, and the drilling processing is performed again after the drilling equipment is adjusted, and the steps of obtaining the drilling qualification parameter data according to the mechanical processing parameter data and analyzing the drilling processing condition according to the drilling qualification evaluation index are repeated. When the drilling processing condition reaches the normal condition, the drilling equipment is no longer adjusted; When the milling processing situation indicates that the milling processing situation is abnormal, adjust the milling equipment, perform milling processing again after the adjustment, analyze the milling processing situation, repeat the process from adjusting the milling equipment to analyzing the milling processing situation, and when the milling processing situation is analyzed to be normal, end the adjustment of the milling equipment.

7. A mechanical automation scheduling test method as claimed in claim 1, characterized in that: The specific analysis process of analyzing the completion status of mechanical tasks and performing scheduling according to the mechanical task completion status parameter data is as follows: Obtain the parameter data of mechanical task completion and perform preprocessing; Analyzing the preprocessed mechanical task completion parameter data to obtain a mechanical task completion evaluation index, wherein the mechanical task completion evaluation index is used to reflect the degree of completion of the mechanical task; Analyze the mechanical task completion status and make scheduling based on the mechanical task completion evaluation index.

8. A mechanical automation scheduling test method as claimed in claim 7, characterized in that: The specific analysis process of analyzing the completion status of mechanical tasks and performing scheduling according to the mechanical task completion status evaluation index is as follows: Obtain the mechanical task completion evaluation index and the mechanical task completion evaluation threshold. When the mechanical task completion evaluation index is less than the mechanical task completion evaluation threshold, it indicates that the mechanical task completion is qualified and mechanical scheduling is not performed. When the mechanical task completion evaluation index is not less than the mechanical task completion evaluation threshold, it indicates that the mechanical task completion is unqualified, and mechanical scheduling is performed. During the mechanical scheduling, the mechanical processing process is repeatedly monitored and the mechanical processing parameter data is obtained to analyze the mechanical task completion status according to the mechanical task completion evaluation index and perform the scheduling process. When the mechanical task completion status indicates that the mechanical task completion is qualified, the mechanical scheduling is stopped.

9. A mechanical automation scheduling test method as claimed in claim 2, characterized in that: The specific method for obtaining the drilling qualification evaluation index is as follows: Perform drilling within a preset time period; Carry out multiple data collections on processed products, including drilling products and milling products, and number the data collection times; Obtain the number of drilling equipment for drilling processing and number the drilling equipment; Obtain the number of drilled products processed by the drilling equipment and number the drilled products; Obtain drilling qualification parameter data; Construct a calculation formula for the drilling qualification evaluation index based on the drilling qualification parameter data; The specific calculation formula for the drilling qualification evaluation index is: ； In the formula, Expressed as The drilling qualification evaluation index of each drilling equipment, Indicates the drilling equipment number. , Expressed as the total number of drilling equipment, Expressed as Drilling equipment No. Drilling products in The actual hole diameter of the drilling product at the time of data collection, Indicated as drilling product number, , Expressed as the total number of drilling products, It represents the number of data collection times. , It is expressed as the total number of data collection times, Expressed as Drilling equipment No. Drilling products in The actual hole depth of the drilling product at the time of data collection, Expressed as Drilling equipment No. Standard hole diameter of drilling products for each drilling product, Expressed as Drilling equipment No. The standard hole depth of each drilling product is: It is expressed as the weight ratio of the actual hole diameter of the drilling product in the drilling qualification evaluation index. It is expressed as the weight ratio of the actual hole depth of the drilling product in the drilling qualification evaluation index. Expressed as a natural constant.

10. A mechanical automation scheduling test system, characterized in that: include: Monitoring acquisition module, drilling analysis module, milling edge analysis module, adjustment module, parameter acquisition module and mechanical scheduling module; The monitoring and acquisition module is used to monitor the machining process and acquire machining parameter data; The drilling analysis module is used to obtain the drilling qualification evaluation index according to the machining parameter data and analyze the drilling processing situation; The edge milling analysis module is used to obtain the edge milling qualification evaluation index according to the machining parameter data and analyze the edge milling processing situation; The adjustment module is used to adjust the machining process according to the drilling process and the milling process. The parameter acquisition module is used to obtain the parameter data of the completion of the mechanical task after the mechanical processing adjustment is completed; The mechanical scheduling module is used to analyze the completion status of mechanical tasks and perform scheduling based on the parameter data of the completion status of mechanical tasks.

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