Intelligent Operation Control Method and System Based on Automatic Loading and Unloading of Machine Tools

Abstract

This invention discloses an intelligent operation control method and system based on automatic loading and unloading of machine tools, relating to the field of intelligent control, including the following steps: Step 1: The host computer receives the production task and generates a processing plan, sends the processing program to the CNC machine tool, and establishes a communication connection with the PLC control unit and the robotic arm; Step 2: The PLC control unit moves the robotic arm to the processing area of ​​the workpiece platform according to the processing plan instructions, identifies and confirms the target workpiece through the vision detection device on the robotic arm fixture, and if it is not the target workpiece, controls the robotic arm to traverse the processing area to continue detection until the target workpiece is found; This invention realizes the full automation of the workpiece loading and unloading process, adds a workpiece retrieval function, solves the problem of incorrect workpiece placement on the workpiece pallet, and integrates with the machine tool probe for real-time measurement of workpieces, effectively improving the effective processing time of a single machine tool and increasing the output of workpieces per unit time.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, specifically to an intelligent operation control method and system based on automatic loading and unloading of machine tools. Background Technology

[0002] As core processing equipment, CNC machine tools require automated loading and unloading, which is crucial for achieving unmanned workshops. Traditional single-machine manual operation is no longer sufficient to meet the demands for high-efficiency, high-cycle, and high-quality consistent production. Currently, the machining industry often uses robotic arms, gantry robots, and conveyor belts with feeding mechanisms for loading and unloading. Among these methods, the feeding robot is often only responsible for placing and picking up materials, and cannot effectively identify defective workpieces. For example, in subtractive manufacturing, if the machine tool removes too much material, resulting in a scrapped workpiece, the robot will still pick up the material according to the original process, increasing the product defect rate.

[0003] Meanwhile, due to the development of the times, the demand of the manufacturing industry has shifted from mass production to small-batch customized processing. The practice of using conveyor belts with feeding mechanisms is obviously no longer suitable for small-batch customized processing. Gantry robots are limited by the machine tool position, and when frequent adjustments to the machine tool are required for collaborative processing, gantry robots cannot quickly change positions. Although robotic arms have effectively solved this problem, they have not effectively solved the problem of defect rate. Furthermore, in small-batch customized processing, the processing cycle and process parameters of the machine tool need to be switched frequently, which is a test of the skills of the machine tool programmers. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] In view of the above-mentioned shortcomings of the existing technology, the present invention provides an intelligent operation control method and system based on automatic loading and unloading of machine tools, which can effectively solve the problems of the existing technology.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0008] This invention discloses an intelligent operation control method based on automatic loading and unloading of machine tools, comprising the following steps:

[0009] Step 1: The host computer receives the production task and generates a processing plan, sends the processing program to the CNC machine tool, and establishes a communication connection with the PLC control unit and the robotic arm. The PLC control unit, as the core coordinating controller, is responsible for forwarding, synchronizing and controlling the instructions and signals between the host computer, the CNC machine tool and the robotic arm, and uploading the production data to the host computer in real time.

[0010] Step 2: The PLC control unit moves the robotic arm to the processing area of ​​the workpiece platform according to the processing plan instruction. The target workpiece is identified and confirmed by the vision detection device on the robotic arm fixture. If it is not the target workpiece, the control unit controls the robotic arm to traverse the processing area to continue detection until the target workpiece is found.

[0011] Step 3: After the vision inspection device confirms the target workpiece, the robotic arm moves to the position of the workpiece and clamps the target workpiece through the wedge-shaped positioning groove on the fixture;

[0012] Step 4: The PLC control unit instructs the robotic arm to transfer the clamped workpiece to the CNC machining tool, and at the same time communicates with the CNC machining tool to control the safety door to close, and sends a machining start signal to the machine tool after the machine tool is ready;

[0013] Step 5: The CNC machine tool executes the machining program to process the workpiece, and during the machining process, the machine tool probe measures the workpiece dimensions online and feeds the measurement results back to the machine tool control system;

[0014] Step 6: Make judgments and adjustments based on the online measurement results. If the measurement results are abnormal, when the workpiece size is too large, the machine tool control system will automatically correct the processing parameters and feed them back to the PLC control unit to coordinate secondary processing; when the workpiece size is too small and exceeds the repairable range, the machine tool control system will mark the workpiece as a defective product and notify the PLC control unit.

[0015] Step 7: After processing is completed or the product is determined to be defective, the CNC machine tool stops processing and notifies the PLC control unit. The PLC control unit controls the safety door to open and instructs the robotic arm to enter the machine tool to grab the processed workpiece.

[0016] Step 8: According to the instructions of the PLC control unit, the robotic arm classifies and transfers the gripped workpieces to different areas of the workpiece platform: defective products are transferred to the defective product area, and qualified products are transferred to the good product area; at the same time, the PLC control unit counts the processing quantity and yield rate and uploads the data to the host computer; after completing the processing of the current workpiece, the system returns to the waiting state; the host computer checks the subsequent processing tasks, and if there are any, it repeats steps 2 to 8; if not, it issues a stop command, the system stops operating and displays the statistical information of this processing batch, and the host computer determines whether the current batch processing plan has been completed based on the task queue of the MES system; if not, it automatically triggers the workpiece inspection command for the next cycle; if completed, it issues a stop command to the PLC control unit and the CNC machine tool, ending the automatic operation process.

[0017] Furthermore, the host computer in step 1 is embedded with a MES (Manufacturing Execution System) for receiving, generating, and managing production tasks and processing plans. The host computer screen displays the current processing plan and equipment status information in real time.

[0018] Furthermore, the vision inspection device in step 2 is fixedly installed at the center of the robotic arm fixture, and is used to acquire and recognize images of the workpiece platform's processing area. The process includes:

[0019] The vision inspection device acquires images of the workpiece platform's processing area and transmits the acquired images to its built-in or associated image processing unit.

[0020] The image processing unit extracts features from the acquired images and compares the extracted features with the preset feature model corresponding to the target workpiece issued by the host computer according to the current processing plan.

[0021] The following judgments are made based on the comparison results: if the matching degree between the extracted features and the preset feature model reaches a preset threshold, the workpiece is determined to be the target workpiece that meets the requirements of the current processing plan, and a target confirmation signal is generated; if the matching degree does not reach the preset threshold, the workpiece is determined to be a non-target workpiece, and a non-target signal is generated.

[0022] The PLC control unit or robotic arm controller receives the signal; if it is a target confirmation signal, proceed to step 3; if it is a non-target signal, control the robotic arm to move along a preset path, and repeat the above steps at the next position or the next workpiece in the processing area until the target workpiece is found or the traversal is completed.

[0023] Furthermore, in step 3, the wedge-shaped positioning groove on the fixture is equipped with an adjustable positioning block. By adjusting the position of the positioning block, the wedge-shaped positioning groove can be adapted to and clamp workpieces of different specifications.

[0024] Furthermore, the communication between the PLC control unit and the CNC machine tool in step 4 includes sending a safety door pneumatic switch control signal. The machining start signal is issued after confirming that the safety door of the CNC machine tool is closed and all axes of the machine tool are in position.

[0025] Furthermore, in step 5, the machine tool probe automatically extends when the workpiece is processed to a preset stage and performs contact measurement on key dimensions. The measurement results are fed back to the machine tool control system in real time for process monitoring.

[0026] Furthermore, in step 6, during the judgment and adjustment process based on the online measurement results, the host computer or machine tool control system analyzes the measurement results; if the results are normal, processing continues; if the workpiece size is detected to be too large, the coordinate offset or tool compensation value is automatically corrected, and the PLC control unit coordinates the machine tool to perform secondary processing to repair the size; if the workpiece size is detected to be smaller than a preset threshold and cannot be repaired, the machine tool control system generates a defective product marking signal.

[0027] Furthermore, in step 8, during the workpiece sorting process, the PLC control unit generates corresponding sorting and storage instructions based on the workpiece status signal received from the machine tool control system, and controls the robotic arm to execute different transfer paths to accurately place the workpiece in the good product area or defective product area of ​​the workpiece platform.

[0028] This invention also discloses an intelligent operation control system based on automatic loading and unloading of machine tools, including a workpiece platform mounted on the front of a CNC machine tool, a host computer mounted on the top of the workpiece platform containing a MES (Manufacturing Execution System) that can communicate with the robotic arm body, the CNC machine tool, and a PLC control unit. A workpiece tray is provided at the top of the workpiece platform, and a PLC control unit is provided at the bottom of the workpiece platform. A machine tool probe is installed inside the CNC machine tool, which is used to detect the size and position of the workpiece or tool during processing and feeds the measurement results back to the CNC machine tool. The CNC machine tool corrects the coordinate offset of the machine tool or compensates for the tool, thereby improving the processing accuracy and the yield of the workpiece. A robotic arm body is mounted in the middle of the workpiece platform, and a robotic arm fixture is mounted at the bottom of the robotic arm body. A vision inspection device is installed in the center of the robotic arm fixture, which can perform preliminary classification and size detection of the clamped workpieces. The robotic arm fixture has a wedge-shaped positioning groove inside to accommodate workpieces of different sizes.

[0029] Furthermore, the workpiece tray is provided with positioning grooves and divided into a processing area, a good product area, and a defective product area.

[0030] (III) Beneficial Effects

[0031] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects:

[0032] 1. Through the collaborative operation of the host computer, robotic arm, PLC, and machine tool control system, the workpiece loading and unloading process is fully automated. Compared with the traditional robotic arm loading and unloading mode, a workpiece retrieval function is added, which solves the problem of incorrect workpiece placement on the workpiece pallet. At the same time, it is integrated with the machine tool probe for real-time measurement of workpieces, effectively improving the effective processing time of a single machine tool and increasing the output of workpieces per unit time.

[0033] 2. Through communication between the host computer and the machine tool, the control process of this invention can upload the processing program of different workpieces to the machine tool control system, thereby realizing rapid switching between multi-variety small-batch production and meeting the needs of customized manufacturing.

[0034] 3. Through the host computer, you can see the real-time data interaction between the MES system and the robotic arm, PLC control unit, and machine tool control system. Managers can remotely monitor the equipment operation status, workpiece processing progress, and quality data. The complete production data record provides data support for quality traceability and process optimization, helping enterprises achieve lean production management.

[0035] 4. The robotic arm completes loading and unloading operations in enclosed or semi-enclosed spaces, reducing the health impact of cutting fluid and metal dust on operators. The integrated pneumatic safety door further ensures the safety of the working environment, which is in line with the green production concept of modern manufacturing. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0037] Figure 1 This is a flowchart illustrating the intelligent operation control method of the present invention;

[0038] Figure 2 This is a schematic diagram of the overall three-dimensional structure of the intelligent operation control system in this invention;

[0039] Figure 3 This is a three-dimensional structural diagram of the intelligent operation control system in this invention from another angle.

[0040] Figure 4 This is a 3D modeling diagram of the robotic arm gripper in this invention;

[0041] Figure 5 This is a schematic diagram of the disassembled state of the robotic arm gripper in this invention.

[0042] The labels in the diagram represent: 1. CNC machine tool; 2. Host computer; 3. Workpiece platform; 4. Robotic arm body; 5. Workpiece tray; 6. PLC control unit; 7. Machine tool probe; 8. Robotic arm fixture; 9. Wedge-shaped positioning groove. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0044] The present invention will be further described below with reference to embodiments.

[0045] This embodiment presents an intelligent operation control method based on automatic loading and unloading of machine tools, such as... Figure 1 As shown, it includes the following steps:

[0046] Step 1: The host computer 2 receives the production task and generates a processing plan, sends the processing program to the CNC machine tool 1, and establishes a communication connection with the PLC control unit 6 and the robotic arm body 4. The PLC control unit 6, as the core coordinating controller, is responsible for forwarding, synchronizing, and controlling the logic between the host computer 2, the CNC machine tool 1, and the robotic arm body 4, and uploads production data to the host computer 2 in real time. The host computer 2 is embedded with a MES manufacturing execution system, which is used to receive, generate, and manage production tasks and processing plans. The host computer 2 screen displays the current processing plan and equipment status information in real time.

[0047] Step 2: The PLC control unit 6 moves the robotic arm body 4 to the processing area of ​​the workpiece platform 3 according to the processing plan instructions. The target workpiece is identified and confirmed by the vision inspection device on the robotic arm fixture 8. If it is not the target workpiece, the control unit 6 controls the robotic arm body 4 to traverse the processing area and continue inspection until the target workpiece is found. The vision inspection device is fixedly installed at the center of the robotic arm fixture 8 and is used to acquire and identify images of the processing area of ​​the workpiece platform 3. The process includes:

[0048] The vision inspection device acquires images of the workpiece platform 3 to be processed area and transmits the acquired images to its built-in or associated image processing unit;

[0049] The image processing unit extracts features from the acquired image and compares the extracted features with the preset feature model corresponding to the target workpiece issued by the host computer 2 according to the current processing plan.

[0050] The following judgments are made based on the comparison results: if the matching degree between the extracted features and the preset feature model reaches a preset threshold, the workpiece is determined to be the target workpiece that meets the requirements of the current processing plan, and a target confirmation signal is generated; if the matching degree does not reach the preset threshold, the workpiece is determined to be a non-target workpiece, and a non-target signal is generated.

[0051] The PLC control unit 6 or the robot arm body 4 controller receives the signal; if it is a target confirmation signal, then proceed to step 3; if it is a non-target signal, then control the robot arm body 4 to move according to the preset path, and repeat the above steps at the next position of the processing area or the next workpiece until the target workpiece is found or the traversal is completed.

[0052] Step 3: After the vision inspection device confirms the target workpiece, the main body 4 of the robotic arm moves to the position of the workpiece and clamps the target workpiece through the wedge-shaped positioning groove on the fixture; the wedge-shaped positioning groove on the fixture is equipped with an adjustable positioning block, and by adjusting the position of the positioning block, the wedge-shaped positioning groove can be adapted to and clamp workpieces of different specifications.

[0053] Step 4: The PLC control unit 6 instructs the robotic arm body 4 to transfer the clamped workpiece to the CNC machining tool 1, and at the same time communicates with the CNC machining tool 1 to control the safety door to close, and sends a machining start signal to the machine tool after the machine tool is ready; the communication between the PLC control unit 6 and the CNC machining tool 1 includes sending a safety door pneumatic switch control signal, and the machining start signal is issued after confirming that the safety door of the CNC machining tool 1 is closed and all axes of the machine tool are in position.

[0054] Step 5: The CNC machine tool 1 executes the machining program to process the workpiece, and during the machining process, the machine tool probe 7 measures the workpiece dimensions online and feeds the measurement results back to the machine tool control system. When the workpiece is processed to the preset stage, the machine tool probe 7 automatically extends and performs contact measurement on the key dimensions. The measurement results are fed back to the machine tool control system in real time for process monitoring.

[0055] Step 6: Based on the online measurement results, judgment and adjustment are performed. If the measurement results are abnormal, when the workpiece size is too large, the machine tool control system automatically corrects the processing parameters and feeds them back to the PLC control unit 6 to coordinate secondary processing; when the workpiece size is too small and exceeds the repairable range, the machine tool control system marks the workpiece as a defective product and notifies the PLC control unit 6. During the judgment and adjustment process based on the online measurement results, the host computer 2 or the machine tool control system analyzes the measurement results; if the results are normal, processing continues; if the workpiece size is detected to be too large, the coordinate offset or tool compensation value is automatically corrected, and the PLC control unit 6 coordinates the machine tool to perform secondary processing to repair the size; if the workpiece size is detected to be smaller than the preset threshold and cannot be repaired, the machine tool control system generates a defective product marking signal.

[0056] Step 7: After processing is completed or the product is determined to be defective, the CNC machining tool 1 stops processing and notifies the PLC control unit 6. The PLC control unit 6 controls the safety door to open and instructs the robotic arm body 4 to enter the machine tool to grab the processed workpiece.

[0057] Step 8: According to the instructions of the PLC control unit 6, the robotic arm body 4 sorts and transfers the gripped workpieces to different areas of the workpiece platform 3: defective products are transferred to the defective product area, and qualified products are transferred to the good product area; at the same time, the PLC control unit 6 counts the processing quantity and yield rate and uploads it to the host computer 2; during the workpiece sorting process, the PLC control unit 6 generates corresponding sorting and storage instructions based on the workpiece status signals received from the machine tool control system, and controls the robotic arm body 4 to execute different transfer paths to accurately place the workpieces in the good product area or the defective product area of ​​the workpiece platform 3;

[0058] After completing the processing of the current workpiece, the system returns to the waiting state. The host computer 2 checks the subsequent processing tasks. If there are any, it repeats steps 2 to 8. If not, it issues a stop command, the system stops running, and displays the statistical information of this processing batch. The host computer 2 determines whether the current batch processing plan has been completed based on the task queue of the MES system. If not, it automatically triggers the workpiece detection command for the next cycle. If completed, it issues a stop command to the PLC control unit 6 and the CNC machine tool 1, ending the automatic operation process.

[0059] Compared with existing technologies, this embodiment realizes full-process unmanned and intelligent operation from production plan issuance, automatic workpiece identification and grasping, adaptive adjustment of the processing process to intelligent classification of finished products, which greatly improves the continuity and efficiency of operation. It introduces vision-based workpiece detection and online dimension monitoring based on machine tool probe 7, and combined with an automatic compensation mechanism, realizes real-time perception and active control of processing quality, improves processing accuracy and product qualification rate. Through the core coordination and data uploading of PLC control unit 6, it realizes seamless connection between the equipment layer and the information layer, making the production process transparent.

[0060] At other levels, this embodiment also provides another optimization mechanism for the intelligent operation control method based on automatic loading and unloading of machine tools, specifically an intelligent operation control system based on automatic loading and unloading of machine tools, such as... Figure 2 - Figure 5As shown, a workpiece platform 3 is mounted on the front of the CNC machine tool 1, and a host computer 2 is mounted on the top of the workpiece platform 3. The host computer 2 contains a MES (Manufacturing Execution System) and can communicate with the robotic arm body 4, the CNC machine tool 1, and the PLC control unit 6. A workpiece tray 5 is set on the top of the workpiece platform 3, and the PLC control unit 6 is set on the bottom of the workpiece platform 3. A machine tool probe 7 is installed inside the CNC machine tool 1. The machine tool probe 7 is used to detect the size and position of the workpiece or tool during the machining process and feeds the measurement results back to the CNC machine tool. 1. By correcting the coordinate offset of the CNC machining tool 1 or the tool compensation, the machining accuracy and the yield rate of the workpiece are improved. The main body of the robotic arm 4 is installed in the middle of the workpiece platform 3. The bottom of the main body of the robotic arm 4 is equipped with a robotic arm fixture 8. A vision inspection device is installed in the center of the robotic arm fixture 8, which can perform preliminary classification and size inspection of the clamped workpieces. The inside of the robotic arm fixture 8 is provided with a wedge-shaped positioning groove 9 to adapt to workpieces of different sizes. The workpiece tray 5 is provided with a positioning groove and is divided into a processing area, a good product area and a defective product area.

[0061] In summary, this invention uses the 2MES system to uniformly issue plans and programs, driving the PLC control unit 6, the robotic arm body 4, and the CNC machine tool to work together in an orderly manner. This achieves fully automated operation from task reception, workpiece identification, automatic loading and unloading to processing start-up, replacing manual material searching and judgment. The wedge-shaped positioning fixture is adaptable to multiple varieties, enabling the system to flexibly respond to mixed production. The seamless connection of each link significantly reduces machine tool waiting time, improves the overall utilization rate of equipment, and at the same time reduces dependence on manpower and labor intensity, thus optimizing and stabilizing the production cycle.

[0062] By introducing online measurement using the machine tool probe 7 during processing and feeding the results back to the control system in real time, the system can instantly judge and handle processing deviations. For correctable deviations, the system automatically performs tool compensation and secondary processing to save the workpiece; for irreparable deviations, the system automatically marks and sorts them to prevent them from flowing into the next process. This moves the quality control point forward, transforming post-processing scrapping into in-process intervention, reducing scrap rate and raw material loss, and ensuring the consistency and reliability of batch products.

[0063] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent operation control method based on automatic loading and unloading of machine tools, characterized in that, Includes the following steps: Step 1: The host computer receives the production task and generates a processing plan, sends the processing program to the CNC machine tool, and establishes a communication connection with the PLC control unit and the main body of the robotic arm; Step 2: The PLC control unit moves the main body of the robotic arm to the processing area of ​​the workpiece platform according to the processing plan instruction. The target workpiece is identified and confirmed by the vision detection device on the robotic arm fixture. If it is not the target workpiece, the control unit controls the main body of the robotic arm to traverse the processing area to continue detection until the target workpiece is found. Step 3: After the vision inspection device confirms the target workpiece, the robotic arm moves to the position of the workpiece and clamps the target workpiece through the wedge-shaped positioning groove on the fixture; Step 4: The PLC control unit instructs the robotic arm to transfer the clamped workpiece to the CNC machining tool, and at the same time communicates with the CNC machining tool to control the safety door to close, and sends a machining start signal to the machine tool after the machine tool is ready; Step 5: The CNC machine tool executes the machining program to process the workpiece, and during the machining process, the machine tool probe measures the workpiece dimensions online and feeds the measurement results back to the machine tool control system; Step 6: Make judgments and adjustments based on the online measurement results. If the measurement results are abnormal, when the workpiece size is too large, the machine tool control system will automatically correct the processing parameters and feed them back to the PLC control unit to coordinate secondary processing; when the workpiece size is too small and exceeds the repairable range, the machine tool control system will mark the workpiece as a defective product and notify the PLC control unit. Step 7: After processing is completed or the product is determined to be defective, the CNC machine tool stops processing and notifies the PLC control unit. The PLC control unit controls the safety door to open and instructs the robotic arm to enter the machine tool to grab the processed workpiece. Step 8: According to the instructions of the PLC control unit, the robotic arm classifies and transfers the gripped workpieces to different areas of the workpiece platform: defective products are transferred to the defective product area, and qualified products are transferred to the good product area; at the same time, the PLC control unit counts the processing quantity and yield rate and uploads the data to the host computer.

2. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, The host computer in step 1 is embedded with a MES (Manufacturing Execution System) for receiving, generating and managing production tasks and processing plans. The host computer screen displays the current processing plan and equipment status information in real time.

3. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, The visual inspection device in step 2 is fixedly installed at the center of the robotic arm fixture and is used to acquire and recognize images of the workpiece platform's processing area. The process includes: The vision inspection device acquires images of the workpiece platform's processing area and transmits the acquired images to its built-in or associated image processing unit. The image processing unit extracts features from the acquired images and compares the extracted features with the preset feature model corresponding to the target workpiece issued by the host computer according to the current processing plan. The following judgments are made based on the comparison results: if the matching degree between the extracted features and the preset feature model reaches the preset threshold, the workpiece is determined to be the target workpiece that meets the requirements of the current processing plan, and a target confirmation signal is generated; if the matching degree does not reach the preset threshold, the workpiece is determined to be a non-target workpiece, and a non-target signal is generated. The PLC control unit or robotic arm controller receives the signal; if it is a target confirmation signal, proceed to step 3; if it is a non-target signal, control the robotic arm to move along a preset path, and repeat the above steps at the next position or the next workpiece in the processing area until the target workpiece is found or the traversal is completed.

4. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, In step 3, the wedge-shaped positioning groove on the fixture is equipped with an adjustable positioning block. By adjusting the position of the positioning block, the wedge-shaped positioning groove can be adapted to and clamp workpieces of different specifications.

5. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, The communication between the PLC control unit and the CNC machine tool in step 4 includes sending a safety door pneumatic switch control signal. The machining start signal is issued after confirming that the safety door of the CNC machine tool is closed and all axes of the machine tool are in position.

6. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, In step 5, the machine tool probe automatically extends when the workpiece is processed to a preset stage and performs contact measurement on key dimensions. The measurement results are fed back to the machine tool control system in real time for process monitoring.

7. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, In step 6, during the judgment and adjustment process based on the online measurement results, the host computer or machine tool control system analyzes the measurement results; if the results are normal, processing continues; if the workpiece size is detected to be too large, the coordinate offset or tool compensation value is automatically corrected, and the PLC control unit coordinates the machine tool to perform secondary processing to repair the size; if the workpiece size is detected to be smaller than the preset threshold and cannot be repaired, the machine tool control system generates a defective product marking signal.

8. The intelligent operation control method based on automatic loading and unloading of machine tools according to claim 1, characterized in that, In step 8, during the workpiece sorting process, the PLC control unit generates corresponding sorting and storage instructions based on the workpiece status signal received from the machine tool control system, and controls the robotic arm to execute different transfer paths to accurately place the workpiece in the good or defective area of ​​the workpiece platform.

9. An intelligent operation control system based on automatic loading and unloading of machine tools, wherein the system is an implementation system based on the intelligent operation control method based on automatic loading and unloading of machine tools according to any one of claims 1-8, characterized in that, The CNC machining tool (1) has a workpiece platform (3) mounted on its front side, a host computer (2) mounted on the top of the workpiece platform (3), a workpiece tray (5) mounted on the top of the workpiece platform (3), a PLC control unit (6) mounted on the bottom of the workpiece platform (3), a machine tool probe (7) mounted inside the CNC machining tool (1), a robotic arm body (4) mounted in the middle of the workpiece platform (3), a robotic arm fixture (8) mounted on the bottom of the robotic arm body (4), and a wedge-shaped positioning groove (9) mounted inside the robotic arm fixture (8).

10. The intelligent operation control system based on automatic loading and unloading of machine tools according to claim 9, characterized in that, The workpiece tray (5) is provided with a positioning groove and is divided into a processing area, a good product area and a defective product area.

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