Automatic machining equipment for hardware parts

Abstract

The invention relates to the technical field of hardware machining, and discloses hardware part automatic machining equipment which comprises a motion control module used for coordinating actions of all motion parts in the part automatic machining equipment and carrying out multi-axis cooperative control, and a positioning algorithm module used for carrying out multi-axis cooperative control according to feedback data of a sensor. The state monitoring and fault diagnosis module is used for collecting equipment operation parameters of hydraulic system pressure, motor current and vibration data in real time, and the intelligent control algorithm module is used for dynamically adjusting the closing path and pressure of the positioning plate according to the stamping process requirement. And the intelligent optimization and data management module is used for recording production data such as processing times, fault logs and energy consumption of the equipment. Through operation of all moving parts of the equipment, unnecessary waiting, blocking and repeated actions among the parts are avoided, the machining period of a single part is shortened, the overall machining efficiency is effectively improved, and the problem that the machining efficiency is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of hardware processing, in particular to automated processing equipment for hardware parts. Background Art

[0002] The processing and production of hardware parts plays a pivotal role in modern manufacturing. With the continuous advancement of technology and increasingly fierce market competition, improving the efficiency and quality of hardware parts processing has become a core goal for manufacturing companies. Traditional manual processing methods are no longer able to meet the demands of large-scale, high-precision, and high-efficiency production. Consequently, automated hardware parts processing equipment has emerged as a key driver of the transformation and upgrading of the manufacturing industry.

[0003] CN117206421A discloses an automated parts processing device that integrates multiple processing steps and an automated control system to achieve automated processing of hardware parts. The device automatically completes processes such as loading, positioning, processing, testing, and unloading parts, significantly improving processing efficiency and accuracy. Furthermore, the device features intelligent management capabilities, enabling real-time monitoring of the processing process to ensure stable and reliable processing quality.

[0004] In the process of implementing the technical solution of this application, the inventors discovered that the above technology has at least the following technical problems: This device improves the processing efficiency and quality of hardware parts to a certain extent. However, when processing hardware parts with complex shapes and sizes, the equipment may lead to low processing efficiency due to unreasonable processing path planning, thereby reducing the efficiency and accuracy of the processing process. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides an automated processing equipment for hardware parts, which solves the problem of low processing efficiency.

[0006] To achieve the above objectives, the present invention implements a hardware parts automated processing equipment through the following technical solutions, including a motion control module, a positioning algorithm module, a state monitoring and fault diagnosis module, an intelligent control algorithm module, and an intelligent optimization and data management module. The motion control module is used to coordinate the movements of various moving components in the parts automated processing equipment and perform multi-axis coordinated control. The positioning algorithm module is used to dynamically adjust the closing path and pressure of the positioning plate based on sensor feedback data to adapt to slight deformation or positional offset of the raw material and position the raw material in the die groove. The state monitoring and fault diagnosis module is used to collect equipment operating parameters such as hydraulic system pressure, motor current, and vibration data in real time, determine whether the operation is abnormal based on thresholds, and integrate a self-test program to regularly calibrate sensors and actuators. The intelligent control algorithm module is used to intelligently plan the contact path between the punch and the die according to the stamping process requirements and dynamically adjust the stamping parameters to address accuracy deviations caused by mold wear or temperature changes. The intelligent optimization and data management module is used to record production data such as the equipment's processing times, fault logs, energy consumption, etc., supporting integration with the MES system; and simultaneously stores stamping parameters for different materials for rapid switching of processing modes.

[0007] Preferably, the motion control module includes a multi-axis collaborative control unit and a cam trajectory planning unit. The multi-axis collaborative control unit is used to coordinate the action timing of the servo motor, stepper motor, hydraulic cylinder and multi-axis motion components in the parts automation processing equipment. The cam trajectory planning unit is used to control the speed and angle of the stepper motor when driving the cam to determine the swing mode of the positioning plate.

[0008] Preferably, the positioning algorithm module includes a positioning strategy generation unit, a data acquisition and processing unit, and a control instruction output unit. The positioning strategy generation unit is used to calculate the closing path of the positioning plate and the parameters of the applied pressure based on the processed sensor data, combined with preset rules and algorithm models, and formulate adjustment strategies for the deformation or position offset of the raw material. The data acquisition and processing unit is used to collect sensor feedback data related to the positioning of the raw material, and filter and analyze these data to extract key information. The control instruction output unit is used to convert the positioning strategy obtained by the positioning strategy generation module into specific instructions, and send them to the execution component in the positioning and auxiliary mechanism module.

[0009] Preferably, the status monitoring and fault diagnosis module includes a data acquisition unit, a threshold judgment unit, a fault processing unit, and a self-test calibration unit. The data acquisition unit is used to collect various parameters of the hydraulic system pressure, motor current, and vibration data when the equipment is running. The threshold judgment unit is used to compare the collected equipment operation data with the pre-set normal range thresholds of each parameter to determine whether the equipment operation status is normal. The fault processing unit is used to start the corresponding fault handling procedure when abnormal equipment operation is detected, trigger an emergency stop command and issue an alarm signal. The self-test calibration unit is used to regularly perform automatic detection and calibration of sensors and actuators.

[0010] Preferably, the intelligent control algorithm module includes a path optimization algorithm unit and an adaptive compensation algorithm unit. The path optimization algorithm is used to intelligently plan the contact path between the punch and the die according to the stamping process requirements and the relevant characteristics of the raw materials. The adaptive compensation algorithm unit is used to dynamically adjust the stamping parameters for the precision deviation caused by mold wear or temperature changes.

[0011] Preferably, the intelligent optimization and data management module includes a production data management unit and a process parameter library unit. The production data management unit is used to record the processing times, fault logs, and energy consumption data information of the equipment, and supports integration with the MES system. The process parameter library unit is used to store stamping parameters of different materials to achieve rapid switching of processing modes.

[0012] A hardware parts automated processing equipment also includes an actuator module, a transmission and power module, and a positioning and auxiliary mechanism module. The actuator module is used to receive control instructions and drive corresponding mechanical components to perform actual actions, thereby realizing the specific functions of multi-axis coordinated motion, positioning operation, and processing operation. The transmission and power module is used to transmit power from a power source to each actuator component and drive the relevant mechanisms of the equipment to move. The positioning and auxiliary mechanism module is used to position raw materials and assist in completing some related operations in the processing process to ensure that processing can be carried out accurately as required.

[0013] Preferably, the actuator module includes a clamping and conveying unit and a stamping and forming unit. The clamping and conveying unit is used to clamp the raw material or workpiece and convey it according to the set route and speed to realize the transfer of materials in accordance with the processing flow. The stamping and forming unit is used to apply pressure to the raw material through the mold to cause it to produce plastic deformation, thereby processing a stamping part that meets the specific shape requirements. Preferably, the transmission and power module includes a hydraulic drive unit and a motor drive unit. The hydraulic drive unit is used to use the pressure generated by the hydraulic oil to provide power for the movement of the relevant parts of the equipment and drive them to perform corresponding actions as required. The motor drive unit is used to convert electrical energy into mechanical energy to drive the relevant parts of the equipment to operate and perform corresponding movements and functions. Preferably, the positioning and auxiliary mechanism module includes a mechanical positioning mechanism unit and a support and adjustment mechanism unit. The mechanical positioning mechanism unit is used to physically position the workpiece and parts to ensure that they are in the correct position during the processing and assembly operations. The support and adjustment mechanism unit is used to provide support for the weight of each component of the equipment and can adjust the height and angle of the relevant components as needed.

[0014] Working Principle: First, the data acquisition unit collects various operating parameters, such as hydraulic system pressure, motor current, vibration data, and raw material positioning, providing basic data for subsequent judgment. The threshold judgment unit compares the collected data with preset thresholds to determine whether the equipment is operating normally. When the fault handling unit detects an anomaly, it initiates appropriate processing based on the built-in program library, triggering an emergency stop and an alarm to ensure equipment safety. The self-test and calibration unit regularly checks and calibrates sensors and actuators to ensure their accuracy and precision.

[0015] In the intelligent control algorithm module, the path optimization algorithm unit plans the contact path between the punch and the die according to the stamping process and raw material characteristics, and the adaptive compensation algorithm unit dynamically adjusts the stamping parameters according to mold wear and temperature changes to improve stamping efficiency and quality.

[0016] In the intelligent optimization and data management module, the production data management unit records key data such as the number of processing times and integrates with the MES system. The process parameter library unit stores stamping parameters for different materials to facilitate rapid switching of processing modes.

[0017] The clamping and conveying unit of the actuator module clamps the material and conveys it according to the set route and speed for processing. The stamping and forming unit applies pressure through the mold to plastically deform the raw material to produce stamping parts.

[0018] In the transmission and power module, the hydraulic drive unit uses hydraulic oil pressure, and the motor drive unit converts electrical energy into mechanical energy to provide power for the movement of related components.

[0019] The mechanical positioning unit of the positioning and auxiliary mechanism module precisely locates the workpiece, while the support and adjustment unit bears weight and adjusts the height and angle of the component as needed. The positioning algorithm module, through the coordination of various units, collects and processes data, generates positioning strategies, and outputs control instructions to ensure accurate positioning of raw materials.

[0020] All modules work closely together, from data collection, status monitoring, processing operations to component positioning, to jointly achieve efficient and stable operation of the equipment, improve processing efficiency and quality, and solve many problems such as low efficiency in previous processing processes.

[0021] The present invention provides an automated processing equipment for hardware parts. It has the following beneficial effects: 1. The present invention avoids unnecessary waiting, jamming and repetitive actions between parts through the operation between the various moving parts of the equipment, shortens the processing cycle of a single part, and in batch production, can ensure that each part can be processed with an efficient process, thereby effectively improving the overall processing efficiency and solving the problem of low processing efficiency caused by the lack of effective coordination of various moving parts in the previous automated processing of parts.

[0022] 2. The present invention minimizes the damage caused by the fault to the equipment and its impact on the processing process by initiating the corresponding fault handling procedure. The timely triggering of the emergency stop command can prevent the equipment from continuing to operate abnormally and causing more serious damage, reducing the workload and maintenance time of subsequent maintenance. The alarm signal allows the operator to immediately know the location and general situation of the fault, facilitating the implementation of further targeted measures. This solves the problem that in the past, when equipment malfunctioned, due to the lack of an effective response mechanism, appropriate measures could not be taken in a timely manner, resulting in increased equipment damage and forced long-term interruption of processing.

[0023] 3. In the present invention, the production data management unit is used to collect data and integrate with external systems, clearly recording the number of equipment processing times, fault logs, energy consumption data and other information, so that enterprises can reasonably arrange equipment maintenance plans based on these data. For example, it can determine whether the equipment's wearing parts need to be replaced based on the number of processing times, quickly locate modules that often have problems through fault logs and perform key maintenance, etc., thereby improving the pertinence and efficiency of maintenance, reducing unnecessary excessive maintenance costs and production operation losses caused by untimely handling of equipment failures, thereby reducing enterprise operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a software module architecture diagram of a hardware parts automated processing equipment of the present invention; Figure 2 This is a software architecture diagram of a motion control module for automated hardware parts processing equipment of the present invention; Figure 3 This is a software architecture diagram of a positioning algorithm module for automated hardware parts processing equipment of the present invention; Figure 4 This is a software architecture diagram of a hardware parts automated processing equipment status monitoring and fault diagnosis module of the present invention; Figure 5 This is a software architecture diagram of an intelligent control algorithm module for positioning algorithm of hardware parts automated processing equipment of the present invention; Figure 6 This is a software architecture diagram of an intelligent optimization and data management module for automated hardware parts processing equipment of the present invention; Figure 7 This is a hardware module architecture diagram of a hardware parts automated processing equipment of the present invention; Figure 8 This is a hardware architecture diagram of an actuator module of hardware parts automated processing equipment of the present invention; Figure 9 This is a hardware architecture diagram of a transmission and power module for automated processing equipment for hardware parts according to the present invention; Figure 10 This is a hardware architecture diagram of the positioning and auxiliary mechanism module for automated processing of hardware parts of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0026] Please see the attached Figure 1 -Attached Figure 6 , a hardware parts automated processing equipment, including a motion control module, a positioning algorithm module, a state monitoring and fault diagnosis module, an intelligent control algorithm module, and an intelligent optimization and data management module. The motion control module is used to coordinate the movements of various moving parts in the parts automated processing equipment and perform multi-axis collaborative control. The positioning algorithm module is used to dynamically adjust the closing path and pressure of the positioning plate based on sensor feedback data to adapt to slight deformation or position offset of the raw material and position the raw material in the die groove. The state monitoring and fault diagnosis module is used to collect equipment operating parameters such as hydraulic system pressure, motor current, and vibration data in real time, determine whether the operation is abnormal through thresholds, and integrate a self-test program to regularly calibrate sensors and actuators. The intelligent control algorithm module is used to intelligently plan the contact path between the punch and the die according to the stamping process requirements, and dynamically adjust the stamping parameters based on the accuracy deviation caused by mold wear or temperature changes. The intelligent optimization and data management module is used to record production data such as the equipment's processing times, fault logs, energy consumption, etc., and support integration with the MES system; at the same time, it stores stamping parameters for different materials and performs fast switching of processing modes.

[0027] The motion control module includes a multi-axis collaborative control unit and a cam trajectory planning unit. The multi-axis collaborative control unit is used to coordinate the action timing of the servo motor, stepper motor, hydraulic cylinder and multi-axis motion components in the parts automation processing equipment. The cam trajectory planning unit is used to control the speed and angle of the stepper motor when driving the cam to determine the swing mode of the positioning plate.

[0028] Specifically, the multi-axis collaborative control unit in the automated parts processing equipment pre-receives a set of instructions containing the part processing process requirements. These instructions include the specific actions and corresponding parameters required for each stage from initial part processing to final forming. It first comprehensively analyzes the performance characteristics of the servo motors, stepper motors, hydraulic cylinders, and multi-axis motion components in the equipment, such as the response speed and torque output characteristics of the servo motors, the subdivision drive capabilities of the stepper motors, the extension and extension speed and thrust range of the hydraulic cylinders, and the range of motion and linkage mode of the multi-axis motion components. Then, based on the sequence of the processing steps, it uses advanced kinematic algorithms and logical judgment mechanisms to divide the entire processing process into multiple interrelated action subtasks. Each subtask is matched with a corresponding component and its action sequence, and the specific time points for each component to start, run, and stop are calculated. During the actual operation of the equipment, the unit also collects real-time status feedback information from each component, such as the actual motor speed and the current stroke of the hydraulic cylinder. By comparing and analyzing it with the preset action sequence, the feedback adjustment algorithm is used to promptly adjust the action parameters of each component to ensure that they work together according to the planned sequence.

[0029] When tasked with determining the oscillation pattern of the positioning plate driven by a stepper motor, the cam trajectory planning unit first obtains key process parameters, including the desired oscillation position, frequency, and angle range required for the positioning plate at different stages of the process. Next, based on the cam's specific geometry, including its profile type, dimensions, connection structure with the positioning plate, and transmission ratio, and applying the principles of mechanical kinematics and dynamics, a mathematical model is established that relates the cam's speed and angle to the oscillation pattern of the positioning plate. By substituting the required oscillation parameters of the positioning plate into this model, the required speed and angle output by the stepper motor at different times are reversely calculated. The stepper motor's control program then sends corresponding control pulse signals to the stepper motor based on the corresponding relationships between its pulse frequency and speed, and between the step angle and angle. This drives the cam to rotate at the planned speed and angle, thereby achieving the desired oscillation pattern for the positioning plate. During the entire operation process, sensors installed on the positioning plate and related key parts will be used to monitor the actual swing of the positioning plate in real time, compare the feedback data with the preset swing parameters, and use the closed-loop control algorithm to adjust the control signal of the stepper motor in time to ensure that the swing of the positioning plate always meets the processing requirements.

[0030] Through the operation of the equipment's various moving parts, servo motors can rapidly switch speeds and directions, providing power at different processing stages. Stepper motors accurately complete the corresponding number of steps in sequence, ensuring the positioning accuracy of key links. Hydraulic cylinders can efficiently and timely extend and retract, coordinating with other components to complete actions such as clamping and pushing. Multi-axis moving parts can be linked together according to planned trajectories and timing. This coordination avoids unnecessary waiting, stalling, and repetitive movements between components, shortening the processing cycle of individual parts. In mass production, it ensures that each part can be processed in an efficient process, effectively improving overall processing efficiency and solving the problem of low processing efficiency caused by the lack of effective coordination among moving parts in the past in automated parts processing.

[0031] The positioning algorithm module includes a positioning strategy generation unit, a data acquisition and processing unit, and a control instruction output unit. The positioning strategy generation unit is used to calculate the closing path of the positioning plate and the parameters of the applied pressure based on the processed sensor data, combined with preset rules and algorithm models, and formulate an adjustment strategy for the deformation or position offset of the raw material. The data acquisition and processing unit is used to collect sensor feedback data related to the positioning of the raw material, and filter and analyze these data to extract key information. The control instruction output unit is used to convert the positioning strategy obtained by the positioning strategy generation module into specific instructions and send them to the execution component in the positioning and auxiliary mechanism module.

[0032] Specifically, the positioning strategy generation unit first receives key sensor data extracted from the data acquisition and processing unit after filtering and analysis. This data contains information such as the position of the raw material at the current workstation, its posture, and the degree of possible deformation. It then uses pre-set rules, which are based on the mechanical structure characteristics of the equipment, processing requirements, and a wealth of past practical experience. These rules include the allowable deformation range for different types of raw materials and the optimal initial position setting for the positioning plate and raw material. At the same time, combined with built-in professional algorithm models such as spatial positioning algorithms based on geometric relationships and deformation compensation algorithms that consider the mechanical properties of materials, a detailed analysis of the actual state of the raw materials is performed.

[0033] The closing path of the positioning plate is calculated by analyzing the coordinates of the raw material, the initial position of the positioning plate, and its range of motion. Kinematic principles and spatial geometry algorithms are then applied to determine the trajectory and sequence in which the positioning plate should close from its current position to the optimal position that accurately secures the raw material. This ensures that the closing process avoids collision or interference with the raw material, while also enabling efficient and accurate positioning. The parameters for applying pressure are determined based on the raw material's material properties (such as hardness and toughness) and its current deformation, combined with mechanical calculation formulas. The appropriate amount of pressure and duration required to ensure stable positioning of the raw material without damage from excessive pressure are calculated.

[0034] When deformation or positional displacement of the raw materials is detected, a specific adjustment strategy is developed using compensation algorithms and adjustment strategy models based on the original standard state information of the raw materials and the current deviation data. For example, the position and deformation of the raw materials can be corrected by fine-tuning the angle of the positioning plate, changing the pressure on one side of the positioning plate, or moving the positioning plate in a certain direction, so as to restore it to an accurate state that meets the processing requirements.

[0035] The data acquisition and processing unit has various types of sensors installed at key positions of the equipment. These sensors are closely related to the positioning of raw materials. For example, the photoelectric sensor used to detect the position of raw materials determines the approximate position of the raw materials in the plane by emitting and receiving light, and generating signal changes when the raw materials block the light; there is also a laser displacement sensor used to measure the surface flatness and slight deformation of the raw materials. It uses the reflection principle of laser to measure the time difference or phase difference of the reflected light to obtain the height difference of each point on the surface of the raw material relative to the reference plane, and then analyze the deformation of the raw material; and a gyroscope sensor used to sense the posture of the raw material, which determines its angular state by detecting the change in angular velocity of the raw material in space.

[0036] After collecting the raw data from these sensors, the system first performs filtering using digital filtering algorithms (such as mean and median filtering) to remove noise caused by environmental interference (such as light fluctuations and electromagnetic interference), resulting in smoother and more accurate data. The filtered data is then analyzed using data analysis methods (such as statistical and correlation analysis) to uncover the inherent connections between the different sensor data, such as the relationship between position and deformation data. This allows for a more comprehensive understanding of the actual positioning status of the raw materials. Finally, key information is extracted from this processed data, such as the center coordinate position of the raw material, maximum deformation, and current angular deviation. This information is then organized into a standardized data format and transmitted to the positioning strategy generation unit, providing a reliable data foundation for its strategy formulation.

[0037] The control command output unit receives the positioning strategies generated by the positioning strategy generation unit. These strategies include the specific closing path information for the positioning plate, detailed pressure parameters, and adjustment strategies for material deformation or positional shifts. Based on the communication protocols and control interface requirements of the actuator components (such as the positioning plate's drive motor and hydraulic device) in the positioning and auxiliary mechanism module within the device, these abstract positioning strategies are converted into specific instructions that can be recognized and executed by the actuator components.

[0038] For example, the closing path of the positioning plate is broken down into a series of motor rotation angle, direction, and time commands. These commands are transmitted to the motor driver via a predefined communication protocol (such as RS485 or CAN bus) in the form of electrical signals. The motor driver then rotates the motor according to the commands, moving the positioning plate along the planned closing path. Pressure parameters are converted into hydraulic solenoid valve opening control commands or cylinder intake pressure control commands. By controlling the hydraulic oil flow or gas pressure, the positioning plate applies precise pressure to the material. When adjusting the material, the corresponding adjustment actions are similarly converted into corresponding actuator control commands. For example, controlling the fine-tuning motor to rotate a certain angle in a certain direction or adjusting the extension and extension of a hydraulic jack can correct the material's position and deformation. Throughout the command output process, feedback signals from the actuators are monitored in real time to confirm accurate command execution. Any anomalies in command execution are promptly recorded and fed back to the relevant control module for further action.

[0039] Through sensor layout and rational data processing, accurate and detailed information about the raw material's positioning status can be obtained, avoiding positioning strategy errors caused by inaccurate or incomplete data. Filtering reduces noise interference and improves data reliability, making the analysis and judgment based on this data more precise. This ensures the accuracy and stability of the entire positioning system, helps improve the success rate of positioning operations, ensures that the processing process can proceed smoothly based on accurate raw material positioning, and improves processing efficiency and product quality.

[0040] The status monitoring and fault diagnosis module includes a data acquisition unit, a threshold judgment unit, a fault processing unit, and a self-test calibration unit. The data acquisition unit is used to collect various parameters of the hydraulic system pressure, motor current, and vibration data when the equipment is running. The threshold judgment unit is used to compare the collected equipment operation data with the pre-set normal range thresholds of each parameter to determine whether the equipment operation status is normal. The fault processing unit is used to start the corresponding fault handling program when abnormal equipment operation is detected, trigger an emergency stop command and issue an alarm signal. The self-test calibration unit is used to regularly automatically detect and calibrate sensors and actuators.

[0041] Specifically, during the operation of the automated parts processing equipment, the data acquisition unit utilizes high-precision pressure sensors installed in the hydraulic system. These sensors can sense changes in hydraulic oil pressure under different operating conditions in real time, convert the pressure signals into electrical signals, and transmit them to the data acquisition unit. To monitor motor current, specialized current transformers are installed in the power supply lines of each motor. Based on the principle of electromagnetic induction, these current transformers accurately capture the real-time changes in the motor's current during operation and also feed them back to the data acquisition unit in the form of electrical signals. Furthermore, vibration sensors are installed at key structural nodes of the equipment. These sensors utilize principles such as the piezoelectric effect to convert physical quantities such as the vibration amplitude and frequency generated by the equipment's operation into corresponding electrical signals for transmission. The data acquisition unit itself is equipped with a multi-channel data receiving module and a high-speed data processing chip. It can simultaneously receive multiple electrical signals from different sensors, convert these signals into digital form according to a set sampling frequency, and then classify and store them according to different parameter categories for further analysis and processing.

[0042] The threshold determination unit pre-sets reasonable normal range thresholds for various parameters, such as hydraulic system pressure, motor current, and vibration data, based on various factors, including the equipment's design specifications, historical normal operation data, and industry standards. For example, for different hydraulic system circuits, corresponding upper and lower pressure thresholds are determined based on the load and designed operating pressure range. For motors of different power and types, the current fluctuation range during normal operation is analyzed to determine corresponding current thresholds. Furthermore, threshold ranges for vibration amplitude and frequency are established for different parts based on the stability requirements of the overall equipment structure and the vibration tolerance of each component. During equipment operation, the threshold determination unit retrieves equipment operating data collected by the data acquisition unit in real time and compares it against pre-set normal range thresholds for each parameter, one by one. Using a precise numerical comparison algorithm, the unit determines whether the actual operating data falls within or exceeds the normal threshold range, thereby determining whether the equipment is operating normally. If a parameter exceeds the corresponding threshold, the parameter is immediately flagged as abnormal and the abnormality information is transmitted to the subsequent fault handling unit. Details such as the time of the abnormality and the specific value are also recorded to facilitate further analysis of the cause of the fault.

[0043] The fault handling unit has a pre-built fault handling program library, encompassing strategies for various possible equipment operating anomalies. These strategies are based on the principles of the equipment's mechanical structure, electrical system, hydraulic system, and numerous previous failure case analyses. When the threshold determination unit detects that equipment operating data exceeds the normal range threshold, declaring an abnormality, it transmits information such as the specific type and severity of the abnormality to the fault handling unit. Upon receiving this information, the fault handling unit immediately searches the fault handling program library for a matching program and initiates it. For example, if the hydraulic system pressure is too high, the unit will first control the opening of the relevant hydraulic valves according to a pre-set logic to attempt to reduce the system pressure. If the pressure is too high, an emergency stop command may be triggered, directly shutting off the hydraulic system power supply and simultaneously issuing a clear audible and visual alarm to the operator, alerting them to the high hydraulic pressure fault. For abnormalities such as motor overload, the unit will first attempt to adjust the motor's power supply parameters. If the overload persists and is severe, an emergency stop and alarm will be triggered to ensure the safety of the equipment and personnel and prevent further escalation of the fault. During the entire processing process, the fault handling unit will also record the entire process information of the fault, including the time when the abnormality occurred, the triggered processing procedure, the effect after processing, etc., to provide detailed information for subsequent fault review and equipment maintenance.

[0044] The self-test and calibration unit includes built-in testing and calibration routines for sensors and actuators. For sensors, it sends standardized test signals at set intervals. These test signals simulate the physical quantities the sensor should receive during normal equipment operation. For example, a pressure sensor receives a simulated signal corresponding to a standard pressure value, while a vibration sensor receives a simulated signal of a specific vibration amplitude and frequency. After receiving these test signals, the sensor returns corresponding measurement data. The self-test and calibration unit compares this data with pre-set standard data and uses an error analysis algorithm to calculate the sensor's measurement error range. If the error exceeds the allowable accuracy range, a calibration routine is initiated, automatically adjusting the sensor's internal parameters (such as zero offset and sensitivity coefficient) based on the error to restore accurate measurement results. For actuators, the self-test and calibration unit also periodically sends commands to the actuator to perform specific movements, such as extending or retracting a hydraulic cylinder. The unit records the actual stroke, speed, and other parameters and compares them with pre-set standard parameters to determine whether the actuator is performing properly. If there is a deviation, the control parameters of the actuator (such as the drive pulse frequency of the motor, the flow control of the hydraulic system, etc.) will be adjusted to calibrate its movement accuracy to ensure that it can accurately perform the operations required by subsequent processing tasks.

[0045] By initiating appropriate fault handling procedures, the damage caused by the fault to the equipment and its impact on the processing process is minimized. The timely triggering of the emergency stop command prevents further damage to the equipment due to continued abnormal operation, reducing the workload and time of subsequent repairs. The alarm signal immediately informs the operator of the location and general situation of the fault, facilitating the implementation of further targeted measures. This solves the problem of the previous situation in which the lack of effective response mechanisms prevented the timely implementation of appropriate measures when equipment failures occurred, leading to further damage to the equipment and forced long processing interruptions.

[0046] The intelligent control algorithm module includes a path optimization algorithm unit and an adaptive compensation algorithm unit. The path optimization algorithm is used to intelligently plan the contact path between the punch and the die according to the stamping process requirements and the relevant characteristics of the raw materials. The adaptive compensation algorithm unit is used to dynamically adjust the stamping parameters for precision deviations caused by mold wear or temperature changes.

[0047] Specifically, after receiving the stamping process requirements, the path optimization algorithm unit first analyzes these requirements to determine process parameters such as the part's shape, size, and precision requirements, as well as the number and sequence of stamping presses. It also obtains data on the raw material's properties, including its material type (metal, plastic, or composite), hardness, toughness, thickness, and other physical parameters. Based on this information, the algorithm unit uses mathematical modeling to abstract the contact process between the punch and die into a model that combines geometry and physics. For example, it constructs a spatial geometric contour model based on the part's shape. This model, combined with the physical properties of the raw material and taking into account factors such as deformation patterns and stress distribution during the stamping process, plans the entire path of the punch and die from the initial contact position to the final completion of the stamping. During the planning process, optimization algorithms (such as genetic algorithms and simulated annealing) are used to analyze and evaluate numerous possible path solutions. By setting an objective function (e.g., shortest path, minimum number of stamping presses, minimum energy consumption), the algorithm continuously iterates and calculates to select the optimal contact path solution between the punch and die. In addition, during the actual stamping process, the unit will also monitor the stamping progress and related parameter changes in real time, and fine-tune the planned path in a timely manner based on feedback information to ensure that it always meets the optimal requirements of the current stamping state.

[0048] The adaptive compensation algorithm unit first equips the equipment with multiple high-precision sensors to monitor die wear and temperature changes during the stamping process in real time. To monitor die wear, displacement sensors and strain sensors are installed at key die locations (such as the working surfaces of the punch and die, and guide components). These sensors detect dimensional changes and structural deformation caused by constant friction and collision, converting these changes into electrical signals and feeding them back to the algorithm unit. To monitor temperature changes, temperature sensors are distributed throughout the die and surrounding environment to collect and transmit real-time temperature data. After receiving this sensor data, the algorithm unit analyzes and calculates it based on a pre-established mathematical model. This mathematical model, constructed based on extensive experimental data and principles of materials science and mechanics, describes the quantitative relationship between die wear, temperature changes, and stamping accuracy deviation. For example, when the die wear reaches a certain level, the impact on the dimensional and shape accuracy of the stamped part is calculated based on the location and extent of the wear. Similarly, when the temperature increases or decreases by a certain amount, the impact on the die's thermal expansion and contraction and the material's flow properties is analyzed to determine the extent of the impact on stamping accuracy. Then, based on the accuracy deviation obtained through analysis, the algorithm unit uses the control algorithm to dynamically adjust the stamping parameters. For example, it makes real-time corrections to parameters such as stamping pressure, stamping speed, and holding time to compensate for the accuracy loss caused by mold wear or temperature changes, ensuring that the stamping accuracy is always within the qualified range.

[0049] By adjusting stamping parameters in real time, stamping scrap due to precision issues is avoided, and the need for frequent downtime for inspection, mold adjustment, or reprocessing due to precision failures is reduced. This ensures that the stamping operation can consistently and stably produce qualified stamped parts, preventing frequent interruptions to the entire stamping process due to precision issues. This improves the continuity and stability of the stamping process, enabling more effective stamping tasks to be completed per unit time, and increasing stamping efficiency.

[0050] The intelligent optimization and data management module includes a production data management unit and a process parameter library unit. The production data management unit is used to record the processing times, fault logs, and energy consumption data information of the equipment, and supports integration with the MES system. The process parameter library unit is used to store the stamping parameters of different materials to achieve rapid switching of processing modes.

[0051] Specifically, the production data management unit first deployed various data collection points in the key parts of the equipment and related systems. The processing times of the equipment will be recorded at the start and end of each processing task through the counter module embedded in the equipment control system. The counter accurately accumulates the processing times based on the trigger signals of the equipment start and stop. In terms of fault log recording, it is closely connected with the equipment's status monitoring and fault diagnosis module. When the fault diagnosis module detects an abnormality in the equipment and determines the fault type, records the time of the fault, etc., the production data management unit will receive these detailed data in real time and organize and store them in a specific format, including the specific location of the fault, the corresponding fault code, the preliminary judgment of the cause of the fault, etc. To collect energy consumption data, energy consumption monitoring sensors are installed on the equipment's power supply lines and major energy-consuming components (such as motors and hydraulic systems). These sensors measure parameters such as current and voltage in real time based on electrical principles. A built-in calculation module then calculates the real-time power consumption of each component using the power calculation formula (power = voltage × current). This power consumption is integrated over a certain time interval (such as every minute or every hour) to obtain energy consumption data for the corresponding time period. This data is then transmitted to the production data management unit for storage. The unit is also equipped with a standardized data interface. By following specific communication protocols (such as OPC UA), it achieves stable integration with the MES system (Manufacturing Execution System). This unit can accurately transmit collected processing times, fault logs, energy consumption data, and other information in the format and frequency required by the MES system, facilitating unified production management and scheduling within the MES system.

[0052] The process parameter library unit constructs a structured database system with a clear classification and storage mechanism. First, a primary classification is performed according to different material types (such as steel, aluminum, plastic, etc.). Within each material classification, the specific material grades and specifications are further subdivided. For each subdivided material, the corresponding stamping process parameters are collected. These parameters cover the key links in the stamping process, including the stamping pressure range, stamping speed setting value, die gap size, holding time, and demolding method. When collecting parameters, on the one hand, reference is made to the material performance specifications provided by the material supplier to obtain basic physical property data such as hardness, ductility, and yield strength. Based on these properties, combined with stamping theory knowledge and empirical formulas, the appropriate process parameter range is preliminarily determined. On the other hand, through a large number of actual stamping tests, the forming quality of the stamped parts (such as dimensional accuracy, surface flatness, and the presence of cracks) under different parameter combinations is analyzed and evaluated, and the optimal parameter combination is selected and entered into the database. During the actual processing, when it is necessary to switch the processing mode, that is, to process stamping parts of different materials, the operator only needs to select the corresponding material type and specification on the operation interface. The process parameter library unit will quickly retrieve the corresponding process parameters from the database and automatically transmit these parameters to the control system of the equipment. The control system will accurately set the relevant execution components of the stamping equipment (such as the hydraulic system to adjust the pressure, the motor to adjust the speed, etc.) according to the received parameters, thereby realizing rapid switching of processing modes.

[0053] Through the production data management unit, which is responsible for data collection and integration with external systems, it clearly records the number of equipment processing times, fault logs, energy consumption data and other information, making it convenient for enterprises to reasonably arrange equipment maintenance plans based on these data. For example, it can determine whether the equipment's wearing parts need to be replaced based on the number of processing times, and quickly locate modules that often have problems through fault logs and perform key maintenance, etc., which improves the pertinence and efficiency of maintenance, reduces unnecessary excessive maintenance costs and production operation losses caused by untimely handling of equipment failures, thereby reducing enterprise operating costs.

[0054] Please see the attached Figure 7 -Attached Figure 10 A type of automated processing equipment for hardware parts also includes an actuator module, a transmission and power module, and a positioning and auxiliary mechanism module. The actuator module is used to receive control instructions and drive the corresponding mechanical components to perform actual actions, thereby realizing the specific functions of multi-axis coordinated motion, positioning operation, and processing operation. The transmission and power module is used to transmit the power of the power source to each actuator component and drive the relevant mechanisms of the equipment to move. The positioning and auxiliary mechanism module is used to position the raw materials and assist in completing some related operations in the processing process to ensure that the processing can be carried out accurately as required.

[0055] The actuator module includes a clamping and conveying unit and a stamping and forming unit. The clamping and conveying unit is used to clamp the raw material or workpiece and convey it according to the set route and speed to cooperate with the processing flow to realize the transfer of materials. The stamping and forming unit is used to apply pressure to the raw material through the mold to cause it to produce plastic deformation, thereby processing stamping parts that meet specific shape requirements.

[0056] Specifically, the clamping and conveying unit is equipped with a special clamping device, the most common of which are pneumatic, hydraulic, or electric clamps. Taking the pneumatic clamp as an example, it has a cylinder structure inside. When receiving the clamping command from the control system, gas enters the cylinder through the air path, pushing the piston to move, thereby driving the mechanical structure of the clamp to close, and the friction between the clamp and the surface of the raw material or workpiece is used to achieve the clamping operation. In terms of conveying, the motor rotates according to the set speed parameters through connection with transmission components such as the motor, transmission belt, and screw. The power is transmitted to the mobile platform equipped with the clamping device through the friction transmission of the transmission belt or the spiral transmission of the screw, so that it moves along a pre-planned route, such as a straight track or curved track, thereby driving the clamped raw material or workpiece to be stably transferred from one processing station to the next. During the entire process, the sensor will monitor the clamping status and conveying position in real time. If there is any abnormal situation such as loose clamping or deviation from the set route, it will be fed back to the control system in time. The control system will then adjust the clamping force or correct the conveying parameters accordingly to ensure the accuracy and stability of material conveying.

[0057] The stamping unit relies on a stamping die and a stamping device that provides power to perform its work. The stamping die consists of a punch and a die that work together to create a cavity structure that matches the shape of the desired stamped part. The stamping device generally includes a power source (such as a hydraulic system, a mechanical press driven by a crank-connecting rod mechanism, etc.). When the stamping operation is started, the power source begins to work according to the set pressure parameters. If the hydraulic system is used as the power source, the hydraulic pump will pressurize the hydraulic oil and deliver it to the hydraulic cylinder. The piston of the hydraulic cylinder generates a strong thrust under the push of the high-pressure oil, driving the connected punch downward. If it is a mechanical press, the crank-connecting rod mechanism is driven by an electric motor to convert the rotational motion into the up and down linear reciprocating motion of the punch. Driven by power, the punch applies pressure to the raw material placed on the die at a certain speed. The pressure causes the raw material to undergo plastic deformation in the closed cavity space formed by the punch and die. The raw material will gradually take shape according to the shape of the mold cavity. When the set stamping stroke or holding time is reached, the power source drives the punch back to complete a stamping operation. By repeating this process multiple times, stamped parts that meet specific shape requirements can be processed. During this process, key parameters such as stamping pressure and punch stroke are monitored in real time through pressure sensors and displacement sensors installed on the mold and equipment. The data is fed back to the control system, which regulates the stamping process in real time according to the preset parameter range to ensure stamping quality and operational stability.

[0058] Clamping prevents materials from falling or shifting during transportation, ensuring that subsequent processing can proceed smoothly based on the accurate material position. Conveying materials according to the set route and speed ensures that materials arrive at each processing station on time and in an orderly manner, reducing processing waiting time caused by untimely material supply or inaccurate positioning, improving the connection efficiency between various processing links, and thus enhancing the continuity of the entire processing process, thereby improving the overall processing efficiency of the equipment.

[0059] The transmission and power module includes a hydraulic drive unit and a motor drive unit. The hydraulic drive unit is used to utilize the pressure generated by the hydraulic oil to provide power for the movement of relevant components of the equipment, driving them to perform corresponding actions as required. The motor drive unit is used to convert electrical energy into mechanical energy, drive the relevant components of the equipment to operate, and perform corresponding movements and functions.

[0060] Specifically, the hydraulic drive unit primarily consists of components such as a hydraulic pump, hydraulic cylinder, hydraulic control valve, and oil pipes. The hydraulic pump, serving as the power source for the entire unit, is typically driven by an electric motor. Its internal impeller or plunger, among other structures, draws hydraulic oil from the tank during rotation and, through squeezing, pressurizes the oil, creating a fluid with a certain pressure. This high-pressure fluid is then transported through oil pipes to various actuators, such as hydraulic cylinders or hydraulic motors. The hydraulic cylinder contains a piston structure. When high-pressure oil enters one chamber of the cylinder, it pushes the piston toward the other chamber. The piston is connected to relevant equipment components (such as the punch of a stamping machine or the worktable of a machine tool) via a piston rod, thereby driving these components to perform corresponding linear motion. The hydraulic control valve plays a key role in regulation and control. For example, the directional control valve can change the flow direction of the hydraulic oil in the oil pipe according to the instructions issued by the control system, thereby determining the direction of movement of the piston in the hydraulic cylinder, whether forward or backward; the flow control valve can adjust the flow of hydraulic oil entering the hydraulic cylinder, thereby controlling the speed of the piston movement; the pressure control valve monitors the pressure in the hydraulic system in real time, and performs overflow and other operations when the pressure exceeds the set value to ensure that the system pressure is within a safe and stable range. During the operation of the entire hydraulic drive unit, various sensors (such as pressure sensors, flow sensors, etc.) will monitor key parameters such as the pressure and flow of the hydraulic oil in real time, and feed the data back to the control system. The control system then accurately regulates components such as the hydraulic control valve based on this feedback information and preset operating requirements to ensure that the hydraulic drive unit can stably and accurately provide power to the relevant components of the equipment and drive them to operate as required.

[0061] The core component of a motor drive unit is the motor. Common types include DC motors, AC asynchronous motors, and synchronous motors. Each type of motor converts electrical energy into mechanical energy based on its own principle of electromagnetic induction. For example, when three-phase AC current is supplied to the stator windings of an AC asynchronous motor, a rotating magnetic field is generated within the stator core. The speed of this rotating magnetic field is related to the power frequency and the number of magnetic pole pairs in the motor. In this rotating magnetic field, the rotor generates an induced current due to electromagnetic induction. This induced current, in turn, forms a magnetic field around the rotor. The interaction between the rotor magnetic field and the stator's rotating magnetic field generates an electromagnetic torque that rotates the rotor, thereby driving the motor's rotor and converting electrical energy into mechanical energy. The motor's output shaft is connected to related equipment components (such as the drive pulley of a conveyor belt or the joints of a robotic arm) through transmission components such as couplings, belts, and gears. These transmission components transmit the rotational motion to these components, driving their operation. The motor drive unit is also equipped with a controller, which receives command information from the control system, such as the set speed, torque and other parameter requirements. Then, based on these requirements, the controller precisely adjusts the motor's speed, direction and output torque by changing the motor's power supply voltage, frequency (for AC motors) or current size and direction (for DC motors), so that the relevant components of the equipment can perform corresponding movements and functional operations according to the predetermined movement mode and parameters. At the same time, sensors (such as speed sensors, temperature sensors, etc.) are also installed on the motor to monitor the motor's operating status in real time and feedback data to the controller so that abnormal conditions during the motor's operation (such as overspeed, overload, overheating, etc.) can be detected in time, and corresponding protective measures (such as adjusting power supply parameters, triggering alarms, emergency shutdowns, etc.) can be taken to ensure the stable operation of the motor drive unit.

[0062] The motor drive unit boasts high energy conversion efficiency, allowing for rapid adjustment of the motor's speed, direction, and torque based on actual needs under varying operating conditions, meeting the motion requirements of different equipment components at different processing stages. For example, while a conveyor belt is in operation, the motor speed can be adjusted to align material conveying speeds. When the robotic arm is performing operations such as grabbing and placing, the motor's output torque and direction can be precisely controlled to ensure the accuracy and stability of the robotic arm's movements. This precise control helps improve the overall automation level and processing accuracy of the equipment, reducing processing errors and time waste caused by uncoordinated and inaccurate movement, improving the reliability and continuity of equipment operation, and ultimately boosting processing efficiency.

[0063] The positioning and auxiliary mechanism module includes a mechanical positioning mechanism unit and a support and adjustment mechanism unit. The mechanical positioning mechanism unit is used to physically position workpieces and parts to ensure that they are in the correct position during processing and assembly operations. The support and adjustment mechanism unit is used to provide support for the weight of each component of the equipment and can adjust the height and angle of related components as needed.

[0064] Specifically, the mechanical positioning mechanism unit is mainly composed of positioning pins, positioning blocks, positioning fixtures and related guide components. In actual operation, when the workpiece or component is transported to the processing or assembly station, first, the positioning pin will be matched with the corresponding positioning hole on the workpiece according to the pre-set position. The positioning pin has a precise size and shape, and there is a small gap between its diameter and the positioning hole, which can limit the translational freedom of the workpiece in the plane, so that the workpiece can be accurately positioned in the horizontal direction. At the same time, the positioning block will fit with the workpiece from the side, relying on its flat surface with a specific geometric shape to further limit the displacement of the workpiece in other directions, ensuring that the position of the workpiece in the two-dimensional plane is accurate. The positioning fixture uses a clamping mechanism, such as pneumatic, hydraulic or screw drive, to drive the jaws to clamp the workpiece to prevent the workpiece from being displaced due to external forces (such as cutting force, impact force, etc.) during the processing process. For situations requiring multi-station processing or assembly, guide components (such as linear guides and dovetail grooves) guide the workpiece along a predetermined path to the next station, ensuring smooth and precise positioning at each station. Throughout this process, position sensors monitor the relative position between the workpiece and the various components of the positioning mechanism in real time. Any deviations are promptly fed back to the control system, which then drives the appropriate adjustment mechanisms to correct the positioning state, ensuring the workpiece remains accurately positioned.

[0065] The support and adjustment mechanism unit is usually composed of a base, columns, beams, and various adjustment devices. As the fundamental support for the entire equipment, the base is generally made of heavy, high-strength materials and is securely fastened to the ground using anchor bolts and other means, providing a stable and reliable load-bearing foundation for the overall weight of the equipment. The columns are mounted vertically on the base, and the connection between them and the base is ensured to be stable through welding and high-strength bolts. They bear the weight transferred from the equipment's superstructure and evenly distribute it to the base. The beams are installed between the columns, providing an installation platform for other key components of the equipment (such as the workbench, processing head, transmission components, etc.), while also helping to share the weight of the equipment. Common height adjustment devices include screw lifts and hydraulic jacks. For example, a screw lift uses a motor to rotate the screw. The helical transmission between the screw and the nut causes the nut to move along the screw's axial direction, thereby driving the connected equipment components to achieve height adjustment. Operators can input height parameters through the control system based on processing requirements or equipment installation and commissioning needs, and the adjustment device will accurately adjust the components to the specified height. Angle adjustment devices utilize structures such as revolute joints and universal joints, combined with motors or manual adjustment mechanisms, to achieve precise angular adjustment of related components by changing the relative angles between components. This allows for precise adjustment of the angles, meeting various process requirements such as tilting the machining plane or specifying a specific assembly angle. During operation, the entire support and adjustment mechanism monitors the load and position changes of each component in real time using stress sensors and displacement sensors installed at key locations. Any overload or abnormal displacement is promptly reported to the control system, which then takes appropriate protective measures (such as stopping the adjustment action or issuing an alarm) to ensure safe and stable operation of the equipment.

[0066] Precise positioning effectively ensures that machining tools and assembly tools accurately target the workpiece's intended location, significantly improving machining accuracy and assembly quality. It also reduces issues like machining dimensional deviation and assembly misalignment caused by inaccurate positioning, lowering scrap and rework rates. Furthermore, stable positioning allows machining and assembly operations to proceed efficiently and orderly, eliminating the need for frequent equipment stops to readjust workpiece positions. This improves the efficiency of each operational link, and consequently, the overall efficiency of the entire machining and assembly process.

[0067] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A hardware parts automated processing equipment, including a motion control module, a positioning algorithm module, a state monitoring and fault diagnosis module, an intelligent control algorithm module, and an intelligent optimization and data management module, characterized in that: The motion control module is used to coordinate the movements of the various moving parts in the parts automation processing equipment and perform multi-axis collaborative control. The positioning algorithm module is used to dynamically adjust the closing path and pressure of the positioning plate based on the sensor feedback data to adapt to the slight deformation or position offset of the raw material and position the raw material in the die groove. The state monitoring and fault diagnosis module is used to collect the equipment operation parameters of the hydraulic system pressure, motor current, and vibration data in real time, judge whether the operation is abnormal through the threshold, and integrate the self-test program to regularly calibrate the sensor and actuator. The intelligent control algorithm module is used to intelligently plan the contact path between the punch and the die according to the stamping process requirements, and dynamically adjust the stamping parameters for the accuracy deviation caused by mold wear or temperature changes. The intelligent optimization and data management module is used to record the equipment's processing times, fault logs, energy consumption and other production data, and support integration with the MES system; at the same time, it stores the stamping parameters of different materials and performs fast switching of processing modes.

2. The automated processing equipment for hardware parts according to claim 1, characterized in that: The motion control module includes a multi-axis collaborative control unit and a cam trajectory planning unit. The multi-axis collaborative control unit is used to coordinate the action timing of the servo motor, stepper motor, hydraulic cylinder and multi-axis motion components in the parts automation processing equipment. The cam trajectory planning unit is used to control the speed and angle of the stepper motor when driving the cam to determine the swing mode of the positioning plate.

3. The automated processing equipment for hardware parts according to claim 1, characterized in that: The positioning algorithm module includes a positioning strategy generation unit, a data acquisition and processing unit, and a control instruction output unit. The positioning strategy generation unit is used to calculate the closing path of the positioning plate and the parameters of the applied pressure based on the processed sensor data, combined with preset rules and algorithm models, and formulate an adjustment strategy for the deformation or position offset of the raw material. The data acquisition and processing unit is used to collect sensor feedback data related to the positioning of the raw material, and filter and analyze these data to extract key information. The control instruction output unit is used to convert the positioning strategy obtained by the positioning strategy generation module into specific instructions and send them to the execution component in the positioning and auxiliary mechanism module.

4. The automated processing equipment for hardware parts according to claim 1, characterized in that: The status monitoring and fault diagnosis module includes a data acquisition unit, a threshold judgment unit, a fault processing unit, and a self-test calibration unit. The data acquisition unit is used to collect various parameters of the hydraulic system pressure, motor current, and vibration data when the equipment is running. The threshold judgment unit is used to compare the collected equipment operation data with the pre-set normal range thresholds of each parameter to determine whether the equipment operation status is normal. The fault processing unit is used to start the corresponding fault handling program when abnormal equipment operation is detected, trigger an emergency stop command and issue an alarm signal. The self-test calibration unit is used to regularly automatically detect and calibrate sensors and actuators.

5. The automated processing equipment for hardware parts according to claim 1, characterized in that: The intelligent control algorithm module includes a path optimization algorithm unit and an adaptive compensation algorithm unit. The path optimization algorithm is used to intelligently plan the contact path between the punch and the die according to the stamping process requirements and the relevant characteristics of the raw materials. The adaptive compensation algorithm unit is used to dynamically adjust the stamping parameters for precision deviations caused by mold wear or temperature changes.

6. The automated processing equipment for hardware parts according to claim 1, characterized in that: The intelligent optimization and data management module includes a production data management unit and a process parameter library unit. The production data management unit is used to record the processing times, fault logs, and energy consumption data information of the equipment, and supports integration with the MES system. The process parameter library unit is used to store the stamping parameters of different materials to achieve rapid switching of processing modes.

7. A hardware parts automated processing equipment, further comprising an actuator module, a transmission and power module, and a positioning and auxiliary mechanism module, characterized in that: The actuator module is used to receive control instructions and drive the corresponding mechanical components to perform actual actions, thereby realizing the specific functions of multi-axis coordinated motion, positioning operation, and processing operation. The transmission and power module is used to transmit the power of the power source to each actuator and drive the relevant mechanisms of the equipment to move. The positioning and auxiliary mechanism module is used to position the raw materials and assist in completing some related operations in the processing process to ensure that the processing can be carried out accurately as required.

8. The automated processing equipment for hardware parts according to claim 7, characterized in that: The actuator module includes a clamping and conveying unit and a stamping and forming unit. The clamping and conveying unit is used to clamp the raw material or workpiece and convey it according to the set route and speed to cooperate with the processing flow to realize the transfer of materials. The stamping and forming unit is used to apply pressure to the raw material through the mold to cause it to produce plastic deformation, thereby processing stamping parts that meet specific shape requirements.

9. The automated processing equipment for hardware parts according to claim 7, characterized in that: The transmission and power module includes a hydraulic drive unit and a motor drive unit. The hydraulic drive unit is used to utilize the pressure generated by the hydraulic oil to provide power for the movement of relevant components of the equipment, driving them to perform corresponding actions as required. The motor drive unit is used to convert electrical energy into mechanical energy, drive the relevant components of the equipment to operate, and perform corresponding movements and functions.

10. The automated processing equipment for hardware parts according to claim 7, characterized in that: The positioning and auxiliary mechanism module includes a mechanical positioning mechanism unit and a support and adjustment mechanism unit. The mechanical positioning mechanism unit is used to physically position workpieces and parts to ensure that they are in the correct position during processing and assembly operations. The support and adjustment mechanism unit is used to provide support for the weight of each component of the equipment and can adjust the height and angle of related components as needed.

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