Workpiece defect intelligent processing method, device, production line control system and medium

Abstract

The present application provides a method, device, production line management and control system and medium for intelligent processing of workpiece defects, which relate to the field of industrial manufacturing technology. The method for intelligent processing of workpiece defects includes: first obtaining the production process data of the target workpiece collected by the monitoring robot, and analyzing whether the target workpiece has processing defects based on the production process data. If the target workpiece has processing defects, the target workpiece is controlled to be transferred to the polishing robot, and the polishing robot is controlled to repair the target workpiece. By monitoring the production process data obtained by the robot, it is possible to determine whether the target workpiece has processing defects, with fast judgment speed and high accuracy, and reduced dependence on skilled technical personnel; the transfer and defect processing of the target workpiece with processing defects on the aviation ring forging production line is achieved through the production line management and control system, without the need for human participation, reducing the workload of manufacturing personnel, and improving the production efficiency of aviation ring forging production.

Description

Technical Field

[0001] The present invention relates to the field of industrial manufacturing technology, and in particular to a method and device for intelligently processing workpiece defects, a production line control system and a medium. Background Art

[0002] In the current industrial processing of aviation ring forgings, defect detection of workpieces and repair of defective workpieces are independent of each other, and usually manufacturing personnel are required to manually transfer defective workpieces to a specific repair area for repair.

[0003] Not only is the manufacturing efficiency low, but the burden on manufacturing personnel is also heavy. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device, production line control system and medium for intelligent processing of workpiece defects in view of the deficiencies in the above-mentioned prior art, so as to realize automatic defect processing of workpieces in the production of aviation ring forgings.

[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0006] In a first aspect, an embodiment of the present application provides a method for intelligently processing workpiece defects, the method being applied to a production line control system, the production line control system being used to control various devices in an aviation ring forging production line, the aviation ring forging production line comprising at least one monitoring robot, the method comprising:

[0007] Acquire production process data of a target workpiece collected by the monitoring robot, wherein the target workpiece includes: an unfinished workpiece and / or a finished workpiece on a production line;

[0008] Analyzing whether the target workpiece has processing defects according to the production process data;

[0009] If the target workpiece has a processing defect, the target workpiece is controlled to be transferred to a polishing robot, and the polishing robot is controlled to repair the target workpiece.

[0010] Optionally, the aviation ring forging production line includes a press, a first logistics roller, and a first truss robot; the target workpiece is a workpiece after the press has completed a process and is placed on the first logistics roller, and the monitoring robot collects production process data of the target workpiece on the first logistics roller;

[0011] The controlling the target workpiece to be transferred to the grinding robot, and controlling the grinding robot to repair the target workpiece, comprises:

[0012] The first truss robot is controlled to transfer the target workpiece to the grinding robot.

[0013] Optionally, after analyzing whether there are processing defects in the target workpiece according to the production process data, the method further includes:

[0014] If the target workpiece has no processing defects, the first truss robot is controlled to transfer the target workpiece to the second logistics roller conveyor.

[0015] Optionally, the aviation ring forging production line includes a rolling mill and a third logistics roller; the target workpiece is a workpiece after the rolling mill completes the process and is placed on the second logistics roller, and the monitoring robot collects production process data of the target workpiece on the second logistics roller;

[0016] The controlling the target workpiece to be transferred to the grinding robot, and controlling the grinding robot to repair the target workpiece, comprises:

[0017] The first truss robot is controlled to transfer the target workpiece to the grinding robot, where the grinding robot is used to repair cracks in the target workpiece.

[0018] Optionally, the aviation ring forging production line includes: a second forging robot; after analyzing whether there are processing defects in the target workpiece according to the production process data, the method further includes:

[0019] If the target workpiece has no processing defects, the second forging robot is controlled to transfer the target workpiece to the fourth logistics roller.

[0020] Optionally, after analyzing whether there are processing defects in the target workpiece according to the production process data, the method further includes:

[0021] If the target workpiece has no processing defects, determining whether the target workpiece needs bulging according to the production process data;

[0022] If the target workpiece needs to be bulged, the forging robot is controlled to transfer the target workpiece to a bulging machine for bulging.

[0023] Optionally, analyzing whether there are processing defects in the target workpiece according to the production process data includes:

[0024] Analyze whether the target workpiece has processing defects according to the image information in the production process data and a preset model, wherein the preset model is obtained by training a sample data set, and the sample data set includes: images of multiple qualified workpieces and images of multiple unqualified workpieces;

[0025] Alternatively, the target workpiece is analyzed based on the status information in the production process data and a preset algorithm to determine whether there are any processing defects.

[0026] In a second aspect, the embodiment of the present application further provides a workpiece defect intelligent processing device, including: an acquisition module, an analysis module, and a control module;

[0027] The acquisition module is used to acquire production process data of a target workpiece collected by the monitoring robot, wherein the target workpiece includes: an unfinished workpiece and / or a finished workpiece on a production line;

[0028] The analysis module is used to analyze whether there are processing defects in the target workpiece according to the production process data;

[0029] The control module is used to control the target workpiece to be transferred to the polishing robot if there are processing defects in the target workpiece, and control the polishing robot to repair the target workpiece.

[0030] In the third aspect, an embodiment of the present application also provides a production line control system, comprising: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, and when the production line control system is running, the processor communicates with the storage medium through the bus, and the processor executes the program instructions to perform the steps of the workpiece defect intelligent processing method as described in any one of the first aspects.

[0031] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the intelligent workpiece defect processing method as described in any one of the first aspects are executed.

[0032] The beneficial effects of the present application are as follows: the embodiment of the present application provides an intelligent method for processing workpiece defects, firstly obtaining the production process data of the target workpiece collected by the monitoring robot, and analyzing whether the target workpiece has processing defects based on the production process data. If the target workpiece has processing defects, the target workpiece is controlled to be transferred to the polishing robot, and the polishing robot is controlled to repair the target workpiece. By monitoring the production process data obtained by the robot, it is possible to determine whether the target workpiece has processing defects, with fast judgment speed and high accuracy, and reducing dependence on skilled personnel; the transfer and defect processing of the target workpiece with processing defects on the aviation ring forging production line is achieved through the production line control system, without the need for human intervention, reducing the workload of manufacturing personnel, and improving the production efficiency of aviation ring forging production. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 A schematic diagram of an aviation ring forging production line provided in one embodiment of the present application;

[0035] Figure 2 A flowchart of a method for intelligently processing workpiece defects provided in one embodiment of the present application;

[0036] Figure 3 A schematic diagram of an aviation ring forging production line provided in yet another embodiment of the present application;

[0037] Figure 4 A schematic diagram of an aviation ring forging production line provided in yet another embodiment of the present application;

[0038] Figure 5 A schematic diagram of an aviation ring forging production line provided in accordance with another embodiment of the present application;

[0039] Figure 6 A schematic diagram of an aviation ring forging production line provided in yet another embodiment of the present application;

[0040] Figure 7 A schematic diagram of an aviation ring forging production line provided in a fifth embodiment of the present application;

[0041] Figure 8 A schematic diagram of an aviation ring forging production line provided in a sixth embodiment of the present application;

[0042] Fig. 9 A flowchart of a method for intelligently processing workpiece defects provided by another embodiment of the present application;

[0043] Fig.10 A schematic diagram of a workpiece defect intelligent processing device provided in one embodiment of the present application;

[0044] Fig.11 A schematic diagram of a production line control system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0046] In this application, unless otherwise clearly specified and limited, the terms "first" and "second" are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" can explicitly or implicitly include at least one feature. In the description of the present invention, the meaning of "multiple" is at least two, such as two or three, unless otherwise clearly and specifically limited. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method, article or equipment including the elements.

[0047] In view of the problem that defective workpieces need to be manually transferred and repaired in the current industrial field in the processing of aviation ring forgings, the embodiments of the present application provide multiple possible implementation methods to achieve automatic defect processing of workpieces in the production of aviation ring forgings. The following is an explanation through multiple examples in conjunction with the accompanying drawings.

[0048] The workpiece defect intelligent processing method of the present application is applied to the production line control system of the aviation ring forging production line. In order to facilitate the explanation of the workpiece defect intelligent processing method of the present application, the aviation ring forging production line is first briefly introduced below.

[0049] Figure 1 This is a schematic diagram of an aviation ring forging production line provided in one embodiment of the present application. Figure 1 As shown, the aviation ring forging production line includes: a production line control system, a blank making area 10, an auxiliary area 30, a forming area 50, a first logistics roller 70, and a second logistics roller 90; the production line control system is connected to the blank making area 10, the auxiliary area 30, all the equipment in the forming area 50, the controller of the first logistics roller 70, and the controller of the second logistics roller 90;

[0050] The blank making area 10 includes: a third logistics roller 11, a first forging robot 13, a press system 15, and a first group of heating furnaces 17; the first forging robot 13 is transported and moved between the third logistics roller 11, the first group of heating furnaces 17, and the press system 15; the first forging robot 13 is used to transport the bar material on the third logistics roller 11 to the first group of heating furnaces 17 for heating, and transport the heated bar material to the press system 15 to form blanks;

[0051] The auxiliary area 30 includes a first truss robot 31; a first logistics roller 70 and a second logistics roller 90 are located at both ends of the first truss robot 31; the first forging robot 13 is also used to transport the billet to the first logistics roller 70 for decentralized cooling, and the first truss robot 31 is used to transfer the billet after decentralized cooling to the second logistics roller 90;

[0052] The forming area 50 includes: a second forging robot 51, a rolling mill 53, and a second group of heating furnaces 55; the second forging robot 51 is transported and moved between the second logistics roller 90, the second group of heating furnaces 55, and the rolling mill 53; the second forging robot 51 is used to transfer the billet on the second logistics roller 90 to the second group of heating furnaces 55, and after heating, transport the heated billet to the rolling mill 53 to form an initial aviation ring forging.

[0053] On the whole, the aviation ring forging production line of the present application can be composed of six parts: a production line control system, a blank making area 10 , an auxiliary area 30 , a forming area 50 , a first logistics roller 70 , and a second logistics roller 90 .

[0054] Among them, the production line control system is a control system that can effectively control the production process of the production line. In the present application, the production line control system can, for example, be connected by communication with all equipment in the blank making area 10, the auxiliary area 30, and the molding area 50, thereby realizing the control and operation status monitoring of all equipment in the blank making area 10, the auxiliary area 30, and the molding area 50; for another example, the production line control system can be connected by communication with the controller of the first logistics roller 70, and realize the transfer of blanks between the blank making area 10 and the auxiliary area 30 by controlling the running direction and speed of the first logistics roller 70 (the blanks can be transferred from the blank making area 10 to the auxiliary area 30, or from the auxiliary area 30 to the blank making area 10. The specific transfer direction can be determined by the production line control system according to preset judgment conditions such as the blank state. The present application is for This is not limited); for another example, the production line control system can be connected to the controller of the second logistics roller 90 by communication, and by controlling the running direction, speed, etc. of the second logistics roller 90, it can realize the transfer of the billet between the auxiliary area 30 and the forming area 50 (the billet can be transferred from the forming area 50 to the auxiliary area 30, or from the auxiliary area 30 to the forming area 50. The specific transfer direction can be determined by the production line control system according to preset judgment conditions such as the billet state, and this application does not limit this); for another example, the production line control system can also realize the identification of feeding bars, the whole process status monitoring of the production line processing, the processing abnormality handling, or the expansion of the functions of the production line control system by adding relevant equipment to the aviation ring forging production line, etc. This application does not limit the specific functions of the production line control system.

[0055] It should be noted that the blanking area 10, the auxiliary area 30, and the forming area 50 in the present application are areas obtained by functionally dividing multiple devices on the aviation ring forging production line, and the functional areas are irrelevant to the specific equipment setting positions of the aviation ring forging production line. In a specific implementation, the equipment in multiple areas can be placed according to the production process of the production line without considering the functional areas divided above.

[0056] The following is a description of each device in the aviation ring forging production line of this application:

[0057] The logistics rollers (e.g., the first logistics roller 70, the second logistics roller 90, the third logistics roller 11, and the fourth logistics roller 80) are transport equipment that utilizes the rotation of cylindrical rollers to transport rolled pieces. Through the transmission of the logistics rollers, the various processes of the production process can be interconnected, thereby realizing mechanized and automated operations. In the present application, the first logistics roller 70 realizes the transfer of billets between the billet making area 10 and the auxiliary area 30, the second logistics roller 90 realizes the transfer of billets between the auxiliary area 30 and the forming area 50, and the third logistics roller 11 realizes the loading of bar materials into the billet making area 10.

[0058] In a possible implementation, the third logistics roller may be located between the blank making area 10 and the bar stock area, so as to achieve bar transfer between the bar stock area and the blank making area 10 .

[0059] In a specific implementation, different types of logistics rollers can be selected according to different materials being transferred. For example, if the material transferred by the third logistics roller 11 is a bar, then the third logistics roller 11 can be, for example, a bar loader; in addition to transferring the bar, this bar loader can also realize bar position identification, bar batch lifting and transfer, bar material code identification and verification, transmission of material information and control signals, and transfer of erroneous bars. For another example, if the material transferred by the first logistics roller 70 and the second logistics roller is a billet, then the first logistics roller 70 and the second logistics roller 90 can be, for example, a special-shaped intermediate billet loader; in addition to transferring the billet, this special-shaped intermediate billet loader can also realize ring billet transfer, billet material code identification and verification, transmission of material information and control signals.

[0060] A forging robot (for example, the first forging robot 13, the second forging robot 51) is an auxiliary mechanical device for realizing material transfer. In the present application, the forging robot can realize functions such as clamping bar material / intermediate billet loading / unloading, bar material / intermediate billet logistics transportation, relay heating parameter issuance, and recording data of the material transfer process (including furnace loading position, material traceability, and logistics-related data, etc.). In actual implementation, the specific type of the forging robot can be determined according to the actual use scenario. For example, the forging robot can be a 7-axis linkage CNC robot with a maximum clamping tonnage of 1 ton, etc., and the present application does not limit this. It should be noted that the first forging robot 13 and the second forging robot 51 can use forging robots of the same type or model, or they can be forging robots of different types, and the present application does not limit this.

[0061] The press system 15 is a forming machine that forms by pressure. In a possible implementation, the press system 15 can realize bar upsetting, punching, closed punching ejection, leaking holes, and mold forming, record the data of the blank making process, and interlock interaction with the first forging robot. In actual implementation, the specific type of the press system 15 can be determined according to the actual use scenario. For example, the press system 15 can be a nominal press 6000t with three mobile stations and two sets of swing arms, which is not limited in this application.

[0062] A heating furnace (such as the first group of heating furnaces 17, the second group of heating furnaces 55, etc.) is a device dedicated to heating materials and workpieces. In the present application, the heating furnace can realize the functions of heating, heat preservation, and recording data of the heating process for the materials in the furnace (the first group of heating furnaces 17 for the bars in the blank making area, or the second group of heating furnaces 55 for the blanks in the forming area). In addition, the heating furnace can realize the loading / unloading of materials in the heating furnace by cooperating with the production line control system and the forging robot. In actual implementation, the specific type of the heating furnace can be determined according to the actual use scenario. For example, the heating furnace can be a heating furnace with an operating temperature of 750℃-1200℃, a uniformity of ±8℃, an effective area of ​​1500*2000*1000mm, etc., and this application does not limit this. It should be noted that the first group of heating furnaces 17 and the second group of heating furnaces 55 can use the same type or model of heating furnaces, or different types of heating furnaces, and this application does not limit this. It should also be noted that the first group of heating furnaces may include at least one heating furnace, and the second group of heating furnaces may include at least one heating furnace. According to actual use requirements, the specific number of heating furnaces in each group of heating furnaces, operating parameters, etc. can be flexibly set. For example, Figure 1 It is shown that the first group of heating furnaces 17 includes two heating furnaces, and the second group of heating furnaces 55 includes three heating furnaces, but this application does not limit this.

[0063] A truss robot (e.g., the first truss robot 31, the second truss robot 37) is a robot that can adjust the position of materials and move the workpiece along a preset trajectory. In the present application, the truss robot can realize functions such as material transfer and material dispersion; for example, the first truss robot 31 can realize functions such as transfer and dispersion of blanks. In actual implementation, the specific type of the first truss robot 31 can be determined according to the actual usage scenario, and the present application does not limit this.

[0064] The rolling mill 53 is a device for implementing the metal rolling process. In the present application, the rolling mill 53 can roll the blank into an aviation ring forging. In actual implementation, the specific type of the rolling mill 53 can be determined according to the actual use scenario. For example, the rolling mill 53 can be a CNC ring rolling mill, etc., which is not limited in the present application.

[0065] Understandably, Figure 1 The structure shown is for illustration only. The aviation ring forging production line may also include Figure 1 More or fewer devices than shown in, or with Figure 1 Different configurations or position settings are shown. Figure 1 Each device in the invention can be implemented by hardware, software or a combination thereof.

[0066] exist Figure 1 Based on the aviation ring forging production line, this application provides a possible implementation method of a workpiece defect intelligent processing method. Figure 2 A flowchart of a method for intelligently processing workpiece defects provided in one embodiment of the present application is shown in FIG. Figure 2 As shown, the method includes:

[0067] Step 201: Acquire production process data of a target workpiece collected by a monitoring robot, wherein the target workpiece includes: an unfinished workpiece and / or a finished workpiece on a production line.

[0068] First of all, it should be noted that Figure 1 On the basis of the above, the aviation ring forging production line also includes at least one monitoring robot to monitor the production process of the target workpiece. Figure 1Monitoring of target workpieces on any equipment (or in equipment) in the aviation ring forging production line. This application does not limit the specific number of monitoring robots. For example, the number of monitoring robots can be determined according to the number of equipment in the aviation ring forging production line (if a monitoring robot is placed for each equipment, the monitoring of each link in the production of aviation ring forgings can be achieved); for another example, the number of monitoring robots can be determined according to the functional zoning of the aviation ring forging production line (for example, a monitoring robot is set for each functional zone: blank making area, auxiliary area, and forming area, so as to achieve the monitoring of the target workpiece in each zone); for another example, according to the working mode of the equipment, a monitoring robot can be set for equipment that may produce defects (or defects can be observed) in the production of aviation ring forgings, so as to achieve the monitoring of the target workpiece at the lowest cost.

[0069] The above is only an example. In actual implementation, there may be other implementation methods, which are not limited in this application.

[0070] When performing workpiece defect processing, first obtain the production process data of the target workpiece collected by the monitoring robot. Depending on the monitored equipment corresponding to the monitoring robot, the type of the target workpiece may be different. It can be an unfinished workpiece and / or a finished workpiece on the production line of an aviation ring forging production line. This application does not limit this. In addition, the production process data of the target workpiece collected by the monitoring robot can be, for example, data of the size, temperature, and injury condition of the target workpiece. This application does not limit the specific type of process data. In actual use, the type of process data collected may be different depending on the type of monitoring robot or the processing type of the monitored equipment. Users can flexibly set it according to the actual scenario.

[0071] Step 202: Analyze whether there are any processing defects in the target workpiece according to the production process data.

[0072] According to the production process data collected by the monitoring robot, the target workpiece is analyzed to determine whether there are processing defects in the target workpiece.

[0073] In a possible implementation, the environmental data in the process data can be detected, and according to a preset empirical formula or a pre-trained model, it can be analyzed to determine whether the target workpiece has a processing defect. The environmental data can be, for example, temperature, pressure, etc. For example, if experience shows that when the temperature during the processing is lower than a preset value, the probability of the target workpiece having a defect increases, a temperature threshold can be set, and when the temperature during processing is lower than the temperature threshold, it is determined that the target workpiece has a processing defect.

[0074] In another possible implementation, the image data in the process data can be processed, and an image processing method or a pre-trained model can be used to analyze and determine whether the target workpiece has a processing defect. For example, qualified and unqualified sample images can be used for training to generate a defective workpiece discrimination model, and the graphic data in the process data of the target workpiece is input into the defective workpiece discrimination model. The model can output an analysis result to determine whether the target workpiece has a processing defect.

[0075] The above is only an example. In actual implementation, there may be other processing defect analysis methods, which are not limited in this application.

[0076] Step 203: If the target workpiece has a processing defect, the target workpiece is controlled to be transferred to a grinding robot, and the grinding robot is controlled to repair the target workpiece.

[0077] If the target workpiece has a processing defect, the target workpiece is controlled to be transferred to the polishing robot, and the polishing robot is controlled to repair the target workpiece. It should be noted that the polishing robot is an industrial robot engaged in polishing. In this application, the polishing robot can polish defective workpieces, thereby repairing unqualified workpieces. In addition, logistics rollers, truss robots, automatic navigation vehicles and other equipment or a combination of equipment can be used to control the transfer of the target workpiece to the polishing robot. This application does not limit the specific movement method of the target workpiece with processing defects.

[0078] In summary, the embodiment of the present application provides an intelligent method for processing workpiece defects. First, the production process data of the target workpiece collected by the monitoring robot is obtained, and based on the production process data, the target workpiece is analyzed to see whether there are processing defects. If there are processing defects in the target workpiece, the target workpiece is controlled to be transferred to the polishing robot, and the polishing robot is controlled to repair the target workpiece. By monitoring the production process data obtained by the robot, it is possible to determine whether there are processing defects in the target workpiece, with fast judgment speed and high accuracy, and reducing excessive reliance on skilled personnel; the transfer and defect processing of the target workpiece with processing defects on the aviation ring forging production line is achieved through the production line control system, without the need for human intervention, reducing the workload of manufacturing personnel, and improving the production efficiency of aviation ring forging production.

[0079] Optional, in the above Figure 1 Based on this, the present application also provides a possible implementation method of an aviation ring forging production line. Figure 3 A schematic diagram of an aviation ring forging production line provided in yet another embodiment of the present application; Figure 3 As shown, the aviation ring forging production line also includes: a first monitoring robot 19;

[0080] The monitoring area of ​​the first monitoring robot 19 covers the working area of ​​the press system and is used to monitor whether the blanks produced by the press system are qualified.

[0081] It should be noted that the monitoring robot is a device that obtains and analyzes monitoring target data through sensor detection, visual monitoring, etc., to monitor the industrial processing process and report abnormal situations. In this application, the monitoring area of ​​the first monitoring robot 19 covers the working area of ​​the press system, and the first monitoring robot 19 is connected to the production line control system in communication. The first monitoring robot 19 can monitor the size, temperature, and injury of the blank during the pressing process of the press system 15, obtain process data, and upload the process data to the production line control system. If the production line control system determines that there is no abnormality in the blank in the press system 15 during the pressing process (that is, the blank is qualified) according to the process data, the first forging robot can be controlled to transfer the blank to the first logistics roller; if the production line control system determines that there is an abnormality in the blank in the press system 15 during the pressing process (that is, the blank is unqualified), the first forging robot can be controlled to grind the abnormal blank after the pressing is completed (for example, the following embodiment), discard it, etc., and this application does not limit this.

[0082] Optional, in the above Figure 2 , Figure 3 On the basis of the above, the present application also provides a possible implementation method of a method for intelligently processing workpiece defects, wherein an aviation ring forging production line includes a press, a first logistics roller, and a first truss robot; the target workpiece is a workpiece after the press completes the process and is placed on the first logistics roller, and the monitoring robot collects production process data of the target workpiece on the first logistics roller;

[0083] Control the target workpiece to be transferred to the grinding robot, and control the grinding robot to repair the target workpiece, including:

[0084] The first truss robot is controlled to transfer the target workpiece to the grinding robot.

[0085] According to the above embodiment, if the first monitoring robot 19 analyzes that there are machining defects in the target workpiece, the production line control system can control the first forging robot to transfer the blank to the first logistics roller. Then, the production line control system controls the first truss robot 19 to transfer the target workpiece to the grinding robot.

[0086] In a possible implementation, in the above Figure 1 Based on this, the present application also provides a possible implementation method of an aviation ring forging production line. Figure 4 A schematic diagram of an aviation ring forging production line provided in yet another embodiment of the present application; Figure 4 As shown, the auxiliary area also includes: a first polishing robot 35;

[0087] The polishing robot (e.g., the first polishing robot 35, the second polishing robot 38, and the third polishing robot 32) is an industrial robot engaged in polishing. In the present application, the polishing robot can polish unqualified workpieces (e.g., target workpieces with defects), thereby repairing the unqualified workpieces. The first polishing robot 35 can polish unqualified target workpieces. The above is only an example. In actual implementation, there may be other polishing robot implementations, which are not limited in the present application.

[0088] The above is only an example. In actual implementation, there may be other implementation methods, which are not limited in this application.

[0089] It should be noted that, in addition to grinding the target workpiece determined by the monitoring robot (first monitoring robot 19), the first grinding robot 35 can also grind the target workpiece with processing defects determined by the detection robot (first detection robot 33), as described below:

[0090] Continue as Figure 4 As shown, the auxiliary area also includes: a first detection robot 33. The first detection robot 33 is located in the detection range near the first logistics roller 70, and is used to detect whether the blanks transported to the first logistics roller 70 are qualified; if the first detection robot 33 feeds back to the production line control system that the blanks are unqualified, the first truss robot 31 will transport the blanks to the first grinding robot 35 for grinding.

[0091] The detection robot (such as the first detection robot 33, the second detection robot 39, and the third detection robot 34) is a device that detects the material within the detection range (such as detection by means of radiographic detection, image recognition, image comparison, etc.) to determine whether the material has defects (such as cracks). In the present application, the first detection robot 33 can detect the blanks within the detection range near the first logistics roller 70 to determine whether the blanks (including target workpieces with defects and target workpieces without defects) transported to the first logistics roller 70 are qualified. If the first detection robot 33 feeds back to the production line control system that the blanks are unqualified, the production line control system controls the first truss robot 31 to transport the blanks to the first grinding robot 35 for grinding.

[0092] It should be noted that the detection target of the first detection robot 33 in the present application is the billet transported by the first logistics roller 70, and its specific detection range can be on the transmission path of the first logistics roller 70 (that is, the first detection robot 33 detects each billet transported on the first logistics roller 70), or on the transmission path of the first truss robot 31 (since there may be a problem of multiple billets concentrated or piled up on the first logistics roller 70, the detection robot may have blind spots in detecting the billets. Therefore, after the first truss robot 31 disperses the billets on the first logistics roller 70, each billet can be detected on the transmission path of the first truss robot 31). The present application does not impose any restrictions on this, as long as it can realize the detection of billets transported by the first logistics roller 70.

[0093] In a possible implementation, the inspection robot can send the inspection result to a production line control system, and the production line control system determines whether the current inspection material is qualified based on the inspection result. If the production line control system determines that the blank is unqualified, the first truss robot is controlled to transport the blank to the first grinding robot for grinding. For example, if the first inspection robot 33 is a robot based on radiation detection, the first inspection robot 33 can upload the image after radiation exposure to the production line control system, and the production line control system determines whether the blank is qualified based on image comparison or image analysis.

[0094] It should also be noted that the above-mentioned detection robots and monitoring robots can both determine whether a workpiece has processing defects, and there are two main differences between them: first, the methods of determining defects are different; the monitoring robot determines whether the target workpiece has processing defects through production process data, and the detection robot directly detects the target workpiece through methods such as X-ray detection, image recognition, and image comparison. Second, the processing logic is different; the target workpiece with processing defects determined by the monitoring robot needs to be returned to the monitoring robot for subsequent processing after being transferred to the polishing robot for repair; the target workpiece with processing defects determined by the detection robot can be directly transferred to the next step of processing after being transferred to the polishing robot for repair (for example, the target workpiece with processing defects determined by the first detection robot 33 can be transported to the first polishing robot 35 for repair, and the polished blank can be transported to the second logistics roller 90 by the first truss robot 31, so that the blank can complete subsequent processing in the forming area).

[0095] The above is only an example. In actual implementation, there may be other ways to process the target workpiece with processing defects, and this application does not limit this.

[0096] Optionally, based on the above embodiment, the present application further provides a possible implementation of a method for intelligently processing workpiece defects. After analyzing whether there are processing defects in the target workpiece according to the production process data, the method further includes:

[0097] If the target workpiece has no processing defects, the first truss robot is controlled to transfer the target workpiece to the second logistics roller.

[0098] In a possible implementation, if the target workpiece does not have a processing defect, the production line control system controls the first truss robot to transfer the target workpiece to the second logistics roller. In this process, the detection robot (first detection robot 33) can also be controlled to detect the target workpiece that the monitoring robot determines does not have a processing defect, and send the defective target workpiece to the polishing robot (first polishing robot 35) for repair. The specific implementation method is shown in the above embodiment, and this application will not be repeated here.

[0099] Optional, in the above Figure 1 Based on this, the present application also provides a possible implementation method of an aviation ring forging production line. Figure 5 A schematic diagram of an aviation ring forging production line provided in accordance with another embodiment of the present application; Figure 5 As shown, the aviation ring forging production line includes: a second monitoring robot 57, a third polishing robot 34;

[0100] The monitoring area of ​​the second monitoring robot 57 covers the working area of ​​the rolling mill, and is used to monitor the initial aviation ring forgings made by the rolling mill 53. It should also be noted that as a monitoring robot, the monitoring area of ​​the second monitoring robot 57 in this application covers the working area of ​​the rolling mill 53, and the second monitoring robot 57 is connected to the production line control system in communication. The second monitoring robot 57 can monitor the size, temperature, damage, etc. of the initial aviation ring forgings during the rolling process of the rolling mill 53, obtain process data, and upload the process data to the production line control system.

[0101] The grinding robot can grind unqualified workpieces (e.g., target workpieces with defects), thereby repairing workpieces with processing defects. The third grinding robot 34 can grind initial aviation ring forgings with processing defects. The above is only an example. In actual implementation, there may be other ways to implement the grinding robot, which is not limited in this application.

[0102] It should be noted that, in addition to grinding the target workpiece determined by the monitoring robot (the second monitoring robot 57), the third grinding robot 34 can also grind the target workpiece with processing defects determined by the detection robot (the third detection robot 34), as described below:

[0103] In a possible implementation, the second monitoring robot 57 can monitor the size, temperature, and damage of the initial aviation ring forging during the rolling process of the rolling mill 53, obtain process data, and upload the process data to the production line control system. The production line control system can also determine whether the initial aviation ring forging has defects based on the process data. If the production line control system determines that the initial aviation ring forging in the rolling mill 53 has no defects during the pressing process based on the process data, the aviation ring forging forming process in the forming area is completed; if the production line control system determines that the initial aviation ring forging in the rolling mill 53 has defects during the rolling process, the second forging robot 51 can be controlled to grind, discard, and other treatments on the defective initial aviation ring forging after the rolling is completed. This application does not limit this.

[0104] Optional, in the above Figure 2 , Figure 5 On the basis of the above, the present application also provides a possible implementation method of a method for intelligently processing workpiece defects. The aviation ring forging production line includes a rolling mill 53 and a third logistics roller 90. The target workpiece is a workpiece after the rolling mill 53 completes the process and is placed on the second logistics roller 90. The monitoring robot collects production process data of the target workpiece on the second logistics roller.

[0105] Control the target workpiece to be transferred to the grinding robot, and control the grinding robot to repair the target workpiece, including:

[0106] The first truss robot 31 is controlled to transfer the target workpiece to the grinding robot, and the grinding robot is used to repair cracks in the target workpiece.

[0107] It should be noted that in the present application, the monitoring area of ​​the second monitoring robot 57 covers the working area of ​​the rolling mill 53, and the second monitoring robot 57 is connected to the production line control system in communication. The second monitoring robot 57 can monitor the size, temperature, and damage of the initial aviation ring forging during the rolling process of the rolling mill 53, obtain process data, and upload the process data to the production line control system. If the production line control system determines that the initial aviation ring forging in the rolling mill 53 does not have processing defects during the rolling process based on the process data, the second forging robot can be controlled to transfer the initial aviation ring forging to the fourth logistics roller; if the production line control system determines that the initial aviation ring forging in the rolling mill 53 has processing defects during the rolling process, the first forging robot 31 can be controlled to transfer the initial aviation ring forging with processing defects (i.e., the target workpiece) to the third grinding robot for grinding (such as the following embodiment), waste treatment, etc. after the rolling is completed. This application does not limit this.

[0108] In a possible implementation, if the second monitoring robot 57 analyzes that there are processing defects in the target workpiece, the production line control system can control the second forging robot to transfer the initial aviation ring forging to the second logistics roller. Then, the production line control system controls the first truss robot 31 to transfer the target workpiece to the grinding robot (third grinding robot 34) so ​​that the grinding robot repairs the cracks of the target workpiece.

[0109] Continue as Figure 5 As shown, the aviation ring forging production line also includes: a third detection robot 32. The third detection robot 34 is located in the detection range near the second logistics roller 90, and is used to detect whether the blank transported to the second logistics roller 90 has processing defects; if the third detection robot 34 feeds back to the production line control system that the initial aviation ring forging has processing defects, the initial aviation ring forging with processing defects is transported to the third grinding robot 34 for grinding through the first truss robot 31.

[0110] In the present application, the third inspection robot 32 is capable of inspecting the initial aviation ring forgings within the inspection range near the second logistics roller 90 to determine whether the initial aviation ring forgings (including target workpieces with defects and target workpieces without defects) transported to the second logistics roller 90 are defective. If the first inspection robot 33 feeds back to the production line control system that the blank is defective, the production line control system controls the first truss robot 31 to transport the blank to the third grinding robot 34 for grinding.

[0111] It should be noted that the detection target of the third detection robot 32 in the present application is the billet transported by the second logistics roller 90, and its specific detection range can be on the transmission path of the second logistics roller 90 (that is, the third detection robot 32 detects each initial aviation ring forging transported on the second logistics roller 90), or on the transmission path of the first truss robot 31 (due to the problem that there may be multiple chef aviation ring forgings concentrated or piled up on the second logistics roller 90, the detection robot may have blind spots in the detection of the billet. Therefore, after the first truss robot 31 disperses the initial aviation ring forgings on the second logistics roller 90, each billet can be inspected on the transmission path of the first truss robot 31). The present application does not impose any restrictions on this, as long as it can realize the detection of the billet transported by the second logistics roller 90.

[0112] In a possible implementation, the inspection robot can send the inspection results to a production line control system, and the production line control system determines whether the current inspection material is qualified based on the inspection results. If the production line control system determines that the initial aviation ring forging is unqualified, the first truss robot is controlled to transport the initial aviation ring forging to the third grinding robot 34 for grinding. For example, if the third inspection robot 32 is a robot based on radiation detection, the third inspection robot 32 can upload the image after radiation exposure to the production line control system, and the production line control system determines whether the blank is qualified based on image comparison or image analysis.

[0113] The above is only an example. In actual implementation, there may be other ways to process the target workpiece with processing defects, and this application does not limit this.

[0114] Optional, in the above Figure 1 Based on this, the present application also provides a possible implementation method of an aviation ring forging production line. Figure 6 A schematic diagram of an aviation ring forging production line provided in yet another embodiment of the present application; Figure 6 As shown, the aviation ring forging production line further includes: a fourth logistics roller 80 ; the fourth logistics roller 80 is located within the operating range of the second forging robot 51 , and the second forging robot 51 is also used to transfer the initial aviation ring forgings made by the rolling mill 53 .

[0115] The fourth logistics roller 80 is a logistics roller, which can be the same as or different from any of the first logistics roller 70, the second logistics roller 90, and the third logistics roller 11, and this application does not limit this. In a specific implementation, the production line control system can control the second forging robot 51 to transfer the initial aviation ring forging made by the rolling mill 53 to the fourth logistics roller 80, and the fourth logistics roller 80 will transfer it.

[0116] Optional, in the above Figure 6 On the basis of the above, the present application also provides a possible implementation method of a method for intelligently processing workpiece defects. The aviation ring forging production line includes: a second forging robot; after analyzing whether there are processing defects in the target workpiece according to the production process data, the method also includes:

[0117] If the target workpiece has no processing defects, the second forging robot 51 is controlled to transfer the target workpiece to the fourth logistics roller conveyor 80 .

[0118] In a possible implementation, if the target workpiece (initial aviation ring forging) does not have any processing defects, the production line control system controls the second forging robot 51 to transfer the target workpiece to the fourth logistics roller 80 .

[0119] Optional, in the above Figure 6 Based on this, the present application also provides a possible implementation method of an aviation ring forging production line. Figure 7 A schematic diagram of an aviation ring forging production line provided in the fifth embodiment of the present application; Figure 7 As shown, the aviation ring forging production line also includes: a second truss robot 37 and a second detection robot 39; the second truss robot 37 is used to transfer the initial aviation ring forgings on the fourth logistics roller 80;

[0120] The second inspection robot 39 is located in a preset inspection range near the fourth logistics roller 80 to inspect whether the initial aviation ring forgings on the fourth logistics roller are qualified.

[0121] It should be noted that the second truss robot 37 in the present application can realize the functions of transferring and dispersing the initial aviation ring forgings. In actual implementation, the specific type of the second truss robot 37 can be determined according to the actual usage scenario, and the present application does not limit this. In addition, the second inspection robot 39 can inspect the initial aviation ring forgings within the inspection range near the fourth logistics roller 80 to determine whether the initial aviation ring forgings transported to the vicinity of the fourth logistics roller 80 are qualified.

[0122] It should be noted that the inspection target of the second inspection robot 39 in the present application is the initial aviation ring forgings transported by the fourth logistics roller 80, and its specific inspection range can be on the transmission path of the fourth logistics roller 80 (that is, the second inspection robot 39 inspects each initial aviation ring forging transported on the fourth logistics roller 80), or on the transmission path of the second truss robot 37 (due to the problem that there may be multiple initial aviation ring forgings concentrated or piled up on the fourth logistics roller 80, the inspection robot may have blind spots in the inspection of the initial aviation ring forgings. Therefore, after the second truss robot 37 disperses the initial aviation ring forgings on the fourth logistics roller 80, each initial aviation ring forging can be inspected on the transmission path of the second truss robot 37). The present application does not impose any restrictions on this, as long as it can realize the inspection of the initial aviation ring forgings transported by the fourth logistics roller 80.

[0123] In one possible implementation, if the second inspection robot 39 feeds back to the production line control system that the initial aviation ring forging is unqualified, the production line control system can, for example, control the second truss robot 37 to process or discard the initial aviation ring forging; if the second inspection robot 39 feeds back to the production line control system that the initial aviation ring forging is qualified, the production line control system can, for example, control the second truss robot 37 to transfer the qualified initial aviation ring forging, etc.

[0124] In another possible implementation, the second inspection robot 39 may send the inspection result to a production line control system, and the production line control system determines whether the initial aviation ring forging currently being inspected is qualified based on the inspection result.

[0125] The above is only an example. In actual implementation, there may be other conditions for judging whether the initial aviation ring forging is qualified, or other methods for handling qualified initial aviation ring forgings or unqualified initial aviation ring forgings. This application does not limit this.

[0126] Optional, in the above Figure 7 Based on this, the present application also provides a possible implementation method of an aviation ring forging production line. Figure 8 A schematic diagram of an aviation ring forging production line provided in the sixth embodiment of the present application; Figure 8 As shown, the aviation ring forging production line further includes: a second grinding robot 38;

[0127] If the second inspection robot 39 feeds back to the production line control system that the initial aviation ring forging near the fourth logistics roller 80 is unqualified, the initial aviation ring forging is transported to the second polishing robot 38 for polishing via the second truss robot 37 .

[0128] It should be noted that the second grinding robot 38 can grind and repair unqualified initial aviation ring forgings. In a possible implementation, if the second inspection robot 39 reports to the production line control system that the initial aviation ring forgings near the fourth logistics roller 80 are unqualified, or according to Figure 7 A possible implementation method is that the production line control system determines that the initial aviation ring forgings near the fourth logistics roller 80 are unqualified based on the inspection results of the second inspection robot 39, and the production line control system controls the second truss robot 37 to transport the initial aviation ring forgings to the second grinding robot 38 for grinding.

[0129] exist Figure 6 , Figure 7 , Figure 8 On the basis of the above, the present application also provides a possible implementation method of the workpiece defect intelligent processing method. If the target workpiece (initial aviation ring forging) does not have processing defects, the production line control system controls the second forging robot 51 to transfer the target workpiece to the fourth logistics roller 80. In this process, the detection robot (second detection robot 39) can also be controlled to detect the target workpiece that does not have processing defects determined by the monitoring robot, and send the defective target workpiece to the grinding robot (second grinding robot 38) for repair. The specific implementation method is shown in the above embodiment, and this application will not be repeated here.

[0130] Optional, reference Figure 5, the aviation ring forging production line includes: bulging machine 59;

[0131] The bulging machine is a device that uses pressure difference to achieve industrial processing. In the present application, the bulging machine 59 can achieve bulging processing of the initial aviation ring forging, and the present application does not limit its specific bulging method.

[0132] Based on the bulging machine, the present application also provides a possible implementation of a method for intelligently processing workpiece defects. Fig. 9 A flowchart of a method for intelligently processing workpiece defects provided by another embodiment of the present application; after analyzing whether a target workpiece has processing defects according to production process data, the method further includes:

[0133] Step 901: If the target workpiece has no processing defects, determine whether the target workpiece needs bulging according to the production process data.

[0134] Step 902: If the target workpiece needs to be bulged, control the forging robot to transfer the target workpiece to a bulging machine for bulging.

[0135] If there are no processing defects in the target workpiece, it is determined whether the target workpiece needs to be bulged based on the production process data obtained by the monitoring robot.

[0136] In a possible implementation, the monitoring robot (the second monitoring robot 57) uploads the production process data to the production line control system, which determines whether the target workpiece needs to be bulged and issues a bulging instruction.

[0137] If the production line control system determines based on process data that the initial aviation ring forging in the rolling mill 53 does not need to be bulged during the pressing process, then the finished aviation ring forging is obtained; if the production line control system determines that the initial aviation ring forging in the rolling mill 53 needs to be bulged during the rolling process, then the forging robot (the second forging robot 51) can be controlled to transport the initial aviation ring forging to the bulging machine for bulging after the rolling is completed.

[0138] Optionally, based on the above embodiments, the present application further provides a possible implementation of a method for intelligently processing workpiece defects, which analyzes whether a target workpiece has processing defects based on production process data, including:

[0139] Analyze whether there are processing defects in the target workpiece according to the image information in the production process data and the preset model, the preset model is obtained by training the sample data set, and the sample data set includes: images of multiple qualified workpieces and images of multiple unqualified workpieces;

[0140] Alternatively, the target workpiece is analyzed based on the status information in the production process data and a preset algorithm to determine whether there are any processing defects.

[0141] The above-mentioned analysis of whether there are processing defects in the target workpiece based on the production process data can be referred to the above-mentioned embodiments, and the present application will not repeat them here.

[0142] The following is a description of the workpiece defect processing device, production line control system, storage medium, etc. provided in this application. The specific implementation process and technical effects are described above and will not be repeated below.

[0143] The embodiments of the present application provide a possible implementation example of a workpiece defect processing device, which can execute the workpiece defect intelligent processing method provided in the above embodiments. Fig.10 This is a schematic diagram of a workpiece defect processing device provided by an embodiment of the present application. Fig.10 As shown, the above workpiece defect processing device comprises:

[0144] Acquisition module 101, analysis module 103, control module 105;

[0145] The acquisition module 101 is used to acquire production process data of a target workpiece collected by the monitoring robot, wherein the target workpiece includes: an unfinished workpiece and / or a finished workpiece on a production line;

[0146] An analysis module 103 is used to analyze whether there are processing defects in the target workpiece according to the production process data;

[0147] The control module 105 is used to control the target workpiece to be transferred to the polishing robot if there are processing defects in the target workpiece, and control the polishing robot to repair the target workpiece.

[0148] Optionally, the control module 105 is used to control the first truss robot to transfer the target workpiece to the grinding robot.

[0149] Optionally, the control module 105 is used to control the first truss robot to transfer the target workpiece to the second logistics roller if there is no processing defect in the target workpiece.

[0150] Optionally, the control module 105 is used to control the first truss robot to transfer the target workpiece to the grinding robot, and the grinding robot is used to repair cracks of the target workpiece.

[0151] Optionally, the control module 105 is used to control the second forging robot to transfer the target workpiece to the fourth logistics roller if there is no processing defect in the target workpiece.

[0152] Optionally, the analysis module 103 is used to determine whether the target workpiece needs bulging according to the production process data if there is no processing defect in the target workpiece;

[0153] The control module 105 is used to control the forging robot to transfer the target workpiece to the bulging machine for bulging if the target workpiece needs bulging.

[0154] Optionally, the analysis module 103 is used to analyze whether there are processing defects in the target workpiece based on the image information in the production process data and a preset model, the preset model is acquired through training of a sample data set, and the sample data set includes: images of multiple qualified workpieces and images of multiple unqualified workpieces; or, analyze whether there are processing defects in the target workpiece based on the status information in the production process data and a preset algorithm.

[0155] The above-mentioned device is used to execute the method provided by the aforementioned embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0156] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASIC), or one or more digital singnal processors (DSP), or one or more field programmable gate arrays (FPGA). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0157] The embodiments of the present application provide a possible implementation example of a production line management and control system, which can execute the workpiece defect intelligent processing method provided in the above embodiments. Fig.11 A schematic diagram of a production line control system provided in an embodiment of the present application. The production line control system can be integrated into a terminal device or a chip of a terminal device. The terminal can be a computing device with data processing capabilities.

[0158] The production line control system includes: a processor 1101, a storage medium 1102 and a bus, the storage medium stores program instructions executable by the processor, when the production line control system is running, the processor and the storage medium communicate through the bus, the processor executes the program instructions, and executes the steps of the above-mentioned workpiece defect intelligent processing method. The specific implementation method and technical effect are similar and will not be repeated here.

[0159] An embodiment of the present application provides a possible implementation example of a computer-readable storage medium, which can execute the workpiece defect intelligent processing method provided in the above embodiment. A computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the above workpiece defect intelligent processing method are executed.

[0160] A computer program stored in a storage medium may include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (English: Read-Only Memory, abbreviated: ROM), a random access memory (English: Random Access Memory, abbreviated: RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0161] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0162] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0163] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0164] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

[0165] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for intelligently processing workpiece defects, characterized in that: The method is applied to a production line control system, the production line control system is used to control various equipment in an aviation ring forging production line, the aviation ring forging production line is composed of 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 aviation ring forging production line includes at least one monitoring robot, and the method includes: Acquire production process data of the target workpiece collected by the monitoring robot, wherein the target workpiece includes: an unfinished workpiece and / or a finished workpiece on a production line; the production process data includes the size, temperature, and damage of the target workpiece; Analyzing whether the target workpiece has processing defects according to the production process data; If the target workpiece has a processing defect, control the target workpiece to be transferred to a polishing robot, and control the polishing robot to repair the target workpiece; The blank making area includes: a third logistics roller, a first forging robot, a press system, and a first group of heating furnaces; the detection area of ​​the monitoring robot covers the working area of ​​the press system, and is used to detect whether the target workpiece made by the press system is qualified; The auxiliary area further includes: a detection robot, which is located within a detection range near the first logistics roller conveyor and is used to detect whether the target workpiece transported to the first logistics roller conveyor is qualified; The target workpiece with processing defects determined by the monitoring robot is returned to the monitoring robot for subsequent processing after being transferred to the polishing robot for repair.

2. The method according to claim 1, characterized in that The aviation ring forging production line includes a press, a first logistics roller, and a first truss robot; the target workpiece is a workpiece after the press has completed the process and is placed on the first logistics roller, and the monitoring robot collects production process data of the target workpiece on the first logistics roller; The controlling the target workpiece to be transferred to the grinding robot, and controlling the grinding robot to repair the target workpiece, comprises: The first truss robot is controlled to transfer the target workpiece to the grinding robot.

3. The method according to claim 2, characterized in that The aviation ring forging production line includes: a second logistics roller; after analyzing whether the target workpiece has processing defects according to the production process data, the method also includes: If the target workpiece has no processing defects, the first truss robot is controlled to transfer the target workpiece to the second logistics roller conveyor.

4. The method according to claim 1, characterized in that The aviation ring forging production line includes a first truss robot, a rolling mill, a third logistics roller, and a second logistics roller; the target workpiece is a workpiece after the rolling mill has completed the process and is placed on the second logistics roller, and the monitoring robot collects production process data of the target workpiece on the second logistics roller; The controlling the target workpiece to be transferred to the grinding robot, and controlling the grinding robot to repair the target workpiece, comprises: The first truss robot is controlled to transfer the target workpiece to the grinding robot, where the grinding robot is used to repair cracks of the target workpiece.

5. The method according to claim 4, characterized in that The aviation ring forging production line includes: a second forging robot; after analyzing whether the target workpiece has a processing defect according to the production process data, the method further includes: If the target workpiece has no processing defects, the second forging robot is controlled to transfer the target workpiece to the fourth logistics roller.

6. The method according to claim 4, characterized in that After analyzing whether the target workpiece has processing defects according to the production process data, the method further includes: If the target workpiece has no processing defects, determining whether the target workpiece needs bulging according to the production process data; If the target workpiece needs to be bulged, the forging robot is controlled to transfer the target workpiece to a bulging machine for bulging.

7. The method according to any one of claims 1 to 6, characterized in that: Analyzing whether the target workpiece has processing defects according to the production process data includes: Analyze whether the target workpiece has processing defects according to the image information in the production process data and a preset model, wherein the preset model is obtained by training a sample data set, and the sample data set includes: images of multiple qualified workpieces and images of multiple unqualified workpieces; Alternatively, the target workpiece is analyzed based on the status information in the production process data and a preset algorithm to determine whether there are any processing defects.

8. A workpiece defect intelligent processing device, characterized in that: The device is applied to a production line control system, which is used to control various equipment in an aviation ring forging production line. The aviation ring forging production line consists of a production line control system, a blank making area, an auxiliary area, a forming area, a first logistics roller, and a second logistics roller; including: an acquisition module, an analysis module, and a control module; The acquisition module is used to acquire production process data of the target workpiece collected by the monitoring robot, wherein the target workpiece includes: an unfinished workpiece and / or a finished workpiece on the production line; wherein the production process data is the size, temperature, and damage condition of the target workpiece; The analysis module is used to analyze whether the target workpiece has processing defects based on the production process data; The control module is used for controlling the target workpiece to be transferred to the polishing robot if there is a processing defect in the target workpiece, and controlling the polishing robot to repair the target workpiece; The blank making area includes: a third logistics roller, a first forging robot, a press system, and a first group of heating furnaces; the detection area of ​​the monitoring robot covers the working area of ​​the press system, and is used to detect whether the target workpiece made by the press system is qualified; The auxiliary area further includes: a detection robot, which is located within a detection range near the first logistics roller conveyor and is used to detect whether the target workpiece transported to the first logistics roller conveyor is qualified; The target workpiece with processing defects determined by the monitoring robot is returned to the monitoring robot for subsequent processing after being transferred to the polishing robot for repair.

9. A production line control system, characterized in that: include: A processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor. When the production line control system is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the steps of the workpiece defect intelligent processing method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the workpiece defect intelligent processing method as claimed in any one of claims 1 to 7 are executed.

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