408 results about "Numerical control system" patented technology

The invention relates to the technical field of numerical control machining monitoring, in particular to a tooth deviation high-precision monitoring system in a tooth cutting machining process, which comprises an online measurement module, a dynamic compensation module, a deviation calculation module and a result output module which are in signal connection with a numerical control system of a tooth cutting machine tool, the online measurement module, the dynamic compensation module, the deviation calculation module and the result output module are integrated on the processing element; the processing element is used for obtaining workpiece design parameters and constructing a theoretical workpiece model, the online measurement module is used for collecting tooth surface point cloud data in real time in the machining process, the dynamic compensation module is used for correcting vibration errors and temperature errors of the point cloud data, and the deviation calculation module is used for quantifying tooth surface deviation values. And the result output module is used for generating an early warning signal and a dynamic correction instruction and executing system self-calibration. The device and a numerical control system form a closed loop of machining, monitoring, correction and remachining, and finally high-precision real-time monitoring and dynamic correction of tooth deviation are achieved.

The invention relates to the technical field of numerical control system fault pre-diagnosis, and particularly discloses a fault monitoring method and system for a numerical control machine tool. The method comprises the steps that a spindle vibration signal, a cutting force signal and a spindle current signal are collected; outputting an alignment signal set; respectively executing adaptive filtering processing according to the alignment signal set; constructing a multi-dimensional feature vector; constructing a health index under the processing behavior period; then accumulated trend deviation analysis is executed through a CUSUM algorithm; and judging whether the tool wear trend is abnormal. The technical problem that in the prior art, static threshold judgment is carried out based on a single signal source, and especially in a numerical control machining scene with signal noise interference, accurate early warning of the early wear trend of a tool cannot be achieved is solved. Due to the fact that a period calibration mechanism fusing spindle vibration, cutting force and current signals, feature vector entropy weight optimization and a CUSUM trend detection mechanism are adopted, the pre-diagnosis level of the numerical control machine tool on cutter state changes is improved.

The invention relates to the field of numerical control of numerical control machine tools, in particular to an intelligent cutter matching selection control method and system for a numerical control machine tool. The method comprises the specific implementation steps that a machining task digital instruction, numerical control machine tool parameters and a tool historical database are obtained, a joint parameter space is constructed, and candidate tools and initial numerical control parameters are screened; operation feedback parameters are obtained, a stability lobe graph is generated, and a machinable interval is calibrated; a multi-objective optimization model is utilized to evaluate candidate tools, an optimization scheme is output, and parameters and early warning signals are adjusted; a machine tool is controlled in a closed-loop mode through PID, tool parameters are reconfigured when a threshold value is exceeded, a lobe graph is updated, a numerical control feedback strategy is generated, and a dynamic feedback path optimization database is constructed. Through an intelligent algorithm and closed-loop control integrated by a numerical control system, adaptive optimization of tool matching and cutting parameters is realized, and the machining stability and efficiency are improved.

The invention relates to the technical field of precision machining, in particular to a compensation method for thermal deformation of an aviation large-size workpiece, which comprises the following steps of: firstly, establishing a first mapping relation between the size change of a calibration piece at different temperatures and the temperature through a thermal deformation calibration experiment; then, by taking the experimental data as a reference, correcting a thermal expansion coefficient in the calibration piece simulation model through an optimization algorithm, and establishing a high-precision prediction model for deformation of the workpiece to be machined; in the actual machining process, real-time temperature field data are collected through a temperature sensor arranged in a key area of a machine tool, and the thermal deformation error of a workpiece to be machined and the thermal offset of the original point of a machining coordinate system are predicted through the prediction model; and finally, according to a prediction result, a machining track is compensated in real time by dynamically offsetting a machining coordinate system and modifying the scaling ratio of each axis of a numerical control system. According to the method, the problem that under the non-constant-temperature working condition, machining is out of tolerance due to thermal deformation of the aviation large-size workpiece is effectively solved, and the machining precision and the percent of pass are remarkably improved.

The embodiment of the invention discloses a double-end spark machine and an anti-collision control method thereof. The double-end spark machine comprises a numerical control system, an anti-collision module, a first main shaft and a second main shaft. The anti-collision module, the first main shaft and the second main shaft are all connected with the numerical control system; the anti-collision module is used for detecting first distance data between the first main shaft and the second main shaft and generating a distance range signal according to the first distance data; the numerical control system is used for determining the distance state between the first spindle and the second spindle according to the distance range signal and controlling operation of the first spindle and the second spindle according to the distance state, and the machining efficiency of the double-end spark machine is improved while collision between the first spindle and the second spindle is avoided.

The invention relates to the technical field of numerical control, in particular to an engraving and milling machine machining track control method based on machine vision. Comprising the steps of receiving an operation task instruction, collecting a reflected light intensity matrix and processing thermal field data, and generating a source data packet; obtaining a fusion heat distribution matrix through the homography matrix; based on the friction thermal response coefficient, a physical tool nose contact area is judged, a dynamic feature mask is generated, the dynamic feature mask and the reflected light intensity matrix are operated, and a monitoring area is output; executing end coordinates are output through least square ellipse fitting, and sensor calibration parameters are inversely transformed into tool nose feedback coordinates; and reading interpolation instruction coordinates, calculating a differential vector, and driving a feed shaft motor to execute displacement compensation. According to the method, deep space-time coupling is performed on the physical cut-off characteristic of the infrared spectrum, the high-frequency texture characteristic of the visible light and the kinematics constraint of a numerical control system, so that a real tool nose hot spot and an optical virtual image are distinguished, and the uniqueness and authenticity of track identification are ensured.

The invention relates to the technical field of numerical control machining, in particular to a five-axis drilling numerical control machine tool based on visual positioning and a machining method, and the five-axis drilling numerical control machine tool comprises a machine tool body, a numerical control system, a contact type measuring head, a visual system and a calculation control unit. Coordinates of at least three non-collinear reference features on a workpiece in a machine tool coordinate system are automatically collected through a contact type measuring head, the deviation between the workpiece coordinate system and the machine tool coordinate system is automatically calculated through a coordinate system transformation algorithm, and after the workpiece coordinate system is established, a visual system is moved to the position above each programming hole site to shoot actual marks, and the workpiece coordinate system is calculated. According to the method, actual hole center coordinates are extracted through image recognition and compared with theoretical coordinates, and finally, deviation calculation and machining decision are carried out by integrating measuring head data, visual images, numerical control programs and tolerance parameters, so that through the automatic process integrating measurement, recognition, comparison and decision making, the machining precision is improved, and the machining precision is improved. The technical problems of manual errors and lack of verification before processing are effectively solved.

According to the welding machining device and method for the inner net and the outer net of the filter, the welding machining device comprises the machining machine table, the lifting mechanism, the moving mechanism, the roller electrode, the shaft electrode and the hooping mechanism, and complex spatial spiral movement is simplified into single axial movement of the roller electrode in a joint channel; an expensive and complex high-precision multi-axis linkage numerical control system is not needed, only one common motor is needed to drive a roller electrode to linearly walk along a joint channel, inclined joint welding of the filter metal net is completed, a workpiece can be driven to rotate in a pure mechanical mode, the cost is low, the welding efficiency is high, and through a micro forging and pressing mode in advance, the welding efficiency is high. According to the method, a solid metal strip with the width of about 1-2 mm and without through holes is formed, and the solid strip provides a continuous and uniform contact surface for a subsequent roller electrode, so that a constant resistance and ideal current path is provided, controllable and predictable generation of welding heat is realized, and the problems of pseudo soldering and overburning caused by meshes are greatly reduced.

The invention provides a digital twinning five-axis machine tool contour error prediction method and system and electronic equipment, and belongs to the technical field of numerical control machine tool precision control and digital twinning. According to the method, servo axis data are collected in real time at a numerical control system end, electromechanical parameters are identified on line, comprehensive disturbance is estimated, and an autoregressive exogenous (ARX) model is updated accordingly; an interpolation instruction is generated in a digital twin body end mirror image numerical control system process, an updated model is utilized to predict a shaft position with deviation, a tool path is obtained through kinematics positive solution, and finally contour errors are calculated through geometric alignment. According to the digital twinning five-axis machine tool contour error prediction method and system and the electronic equipment, dynamic and high-precision prediction of the five-axis machine tool machining track contour error is achieved through the online identification and digital twinning technology, the limitation of a traditional static compensation method is overcome, and the precision of the digital twinning five-axis machine tool contour error prediction is improved. And a key basis is provided for prospective process optimization and precision control, and the machining precision and efficiency are effectively improved.

The invention relates to the technical field of steel rail milling, and particularly discloses steel rail milling and grinding full-profile remolding integrated equipment, a profile mechanism, a milling mechanism, a grinding mechanism and an image recognition mechanism are integrated on a milling table, all the mechanisms are combined together to form a multifunctional machining center, and centralization of the steel rail repairing procedure is achieved. The moving mechanism can drive the steel rail to sequentially pass through the machining units, a continuous assembly line operation mode is formed, the processing efficiency is greatly improved, the two profile mechanisms are arranged at the beginning and the end of the process respectively and can scan the profiles of the steel rail before and after machining respectively, and the profiles of the steel rail are detected to verify the milling and grinding quality. And a complete quality monitoring closed loop is formed. The positioning mechanism and the conveying mechanism achieve automatic clamping, conveying and loosening of the steel rail under unified electric control of the numerical control system cabinet, continuous and automatic machining of the long steel rail segments becomes possible, manual intervention is effectively reduced, and operation safety and consistency are improved.

The invention provides a device and method for adjusting and verifying the machining pose of a workpiece, and belongs to the technical field of machining. The device comprises a workpiece clamping module, a three-dimensional scanning module, a film pasting module, a laser marking module, an industrial camera module, a laser ranging module, a calculation solving module and a communication module; the calculation and solution module is connected with the scanning module, the industrial camera module and the laser ranging module, and the calculation and solution module is in communication connection with a numerical control system of a machine tool through the communication module; the method has the advantages that the precise self-adaptive adjustment of the workpiece pose and the verification of the machining path are realized, and the reliability of precision machining is improved.

The invention relates to the technical field of numerical control systems and five-axis calibration, in particular to a five-axis RTCP parameter calibration method based on an iterative algorithm, and the method comprises the steps: (1) calibration device deployment: fixing a standard ball on a workbench, installing a displacement sensor on a flange surface of a main shaft through a tool clamp, and correcting the deviation; (2) data acquisition: a mobile sensor is tangent to a standard ball, joint coordinates and displacement are recorded, and data cover a spherical surface; (3) mathematical model establishment: deriving a sensor tail end sphere center coordinate formula based on a five-axis kinematic model (double swing heads, double rotary tables and single rotary table single swing head); (4) constructing a target optimization function: according to the tangent geometrical relationship of the two balls, establishing an optimization function taking the RTCP parameter and the center coordinate of the standard ball as variables; and (5) iterative solution: carrying out iterative calculation by adopting a differential evolution algorithm, taking an optimization function value as fitness, and outputting an RTCP parameter after a precision requirement is met. The method is easy and convenient to operate, high in precision, high in universality and suitable for RTCP parameter calibration of the low-end five-axis machine tool.

The invention discloses a blank scanning presetting method and a machining device, and belongs to the technical field of machine tool machining. The blank scanning presetting method comprises the following steps: S1, positioning a blank workpiece; s2, setting a target mark; s3, starting an optical three-dimensional laser scanning unit; s4, scanning the blank workpiece by a three-dimensional laser scanner to form original point cloud data; s5, the target identification camera converts the original point cloud data into initial space coordinates; s6, the processor fuses the initial space coordinates with the pose information of the three-dimensional laser scanner to form reference coordinate parameters; s7, the CNC numerical control system calculates a reference deviation value between the reference coordinate parameters and the theoretical reference information; S8, the machining allowance is ensured to be adaptive according to the reference deviation value; s9, a numerical control planer type milling machine machining unit conducts cutting machining on the blank workpiece; s10, carrying out secondary scanning on the key feature region, and confirming the machining precision; if yes, ending; and if not, repeating the steps S4 to S10. The device can adapt to different blank workpieces, and the flexibility and the production efficiency are improved.

The invention provides a digital twinning five-axis machine tool kinematics transformation method, system and device and a medium, and belongs to the field of numerical control technology and digital twinning crossing technology. The method comprises the steps that axis parameters are collected from a five-axis machine tool controller; constructing a unified five-axis parameter set comprising axis types, axis reference points and direction vectors; a hierarchical homogeneous transformation chain is constructed in a machine tool base coordinate system based on the parameter set, and forward kinematics transformation from a mechanical coordinate system to a workpiece coordinate system is achieved; and based on the unified parameter set and the transformation chain, reversely solving an axis position vector from a tool position instruction of the workpiece coordinate system and mapping the axis position vector back to a controller coordinate. By adopting the digital twin five-axis machine tool kinematics transformation method, system and equipment and the medium, the problems of poor model reusability and inconsistent virtual-real mapping caused by machine tool structure difference and numerical control system diversity are solved, cross-platform and cross-model general reversible kinematics transformation is realized, and the method has the advantages of high practicability and high practicability. And the engineering applicability and deployment efficiency of the digital twin model are improved.

The invention discloses an error compensation method, device and equipment for a numerical control system and a storage medium, and relates to the technical field of machine tool precision control, and the error compensation method for the numerical control system comprises the steps: obtaining a machining code file and a compensation code file, and carrying out the matching detection of the machining code file and the compensation code file; after the matching detection is passed, analyzing the processing code file and the compensation code file to obtain a processing instruction and a compensation instruction; performing fusion processing on the processing instruction and the compensation instruction to generate an optimization interpolation instruction; and controlling the machine tool to move according to the optimized interpolation instruction. The error compensation efficiency of the numerical control system can be improved.

The invention discloses an end face tool sharpener control system, and relates to the technical field of numerical control systems. The end face tool sharpener control system comprises a data preparation and recording module, a tool type parameter dynamic modeling module, a multi-axis linkage control module, a grinding wheel pressure self-adaption control module, a grinding wheel abrasion compensation module and a technological parameter optimization module. By comprehensively collecting multi-dimensional historical processing data and constructing a set framework, automatic classified storage of parameters is realized; the NURBS curve interpolation algorithm is adopted, and the machining precision and smoothness of the complex shape are guaranteed; instructions are synchronized in real time, errors are compensated, vibration is monitored in combination with an acoustic emission sensor, and machining stability is improved; a fuzzy PID model and machine learning are utilized to dynamically adjust parameters and optimize the parameters in advance; through machine vision and digital twinning, abrasion is accurately recognized, and the finishing period is predicted. And based on the hybrid model and reinforcement learning, predicting a processing result, dynamically adjusting parameters, and performing error compensation and sensitivity analysis.

The invention relates to the technical field of numerical control planer mills, in particular to a dynamic thermal error compensation method and system for a double-moving-column numerical control planer miller, and the system comprises a plurality of temperature sensors which are distributed in a key heat sensitive area of a machine tool, and a laser range finder and an encoder which are used for monitoring the displacement of key parts. Synchronously collecting temperature data and displacement data of the machine tool in real time; according to the thermal error monitoring method and the thermal error monitoring system, through multi-sensor data fusion and Kalman filtering denoising, the reliability and the signal-to-noise ratio of thermal error monitoring data are remarkably improved; a nonlinear mapping relation between a temperature field and complex machine tool deformation can be accurately described by utilizing a thermal error prediction model, the problem that compensation is not timely due to temperature lag in a traditional method is fundamentally solved, a tool path is corrected in real time through a numerical control system, online and dynamic software compensation is achieved, and the real-time compensation precision is improved. Therefore, the machining precision and the consistency of the workpiece are greatly improved.

The invention relates to the technical field of intelligent monitoring, and particularly discloses a built-in drilling machining axial force monitoring method and system.The method comprises the steps that multi-channel original force signals are synchronously collected through a plurality of annular piezoelectric type force sensors connected with a spindle mounting bolt in series, and filtering, normalization and abnormity elimination preprocessing are conducted on the multi-channel original force signals; the method comprises the following steps: eliminating abnormal data by adopting consistency verification, dynamically distributing weights in combination with historical reliability of a sensor, performing fusion calculation on a total axial force value, dynamically setting a self-adaptive early warning threshold value based on learning samples of first 10 holes, performing real-time optimization, analyzing reading distribution uniformity and pre-tightening force deviation of the sensor, and identifying an eccentric load and bolt abnormality. Through closed-loop control of a standard interface and a machine tool numerical control system, machining parameters are adjusted in a graded mode or sudden stop is triggered. According to the method, the axial force monitoring precision and the anti-interference capability are improved, the early warning false alarm and missing alarm rate is reduced, the equipment health diagnosis function is expanded, the machining quality and the equipment safety are guaranteed, and the method is suitable for high-end equipment drilling machining scenes.

The invention provides a multi-source heterogeneous data fusion processing parameter adaptive control method and system, and belongs to the technical field of intelligent manufacturing, and the method comprises the steps: obtaining multi-source processing data, and carrying out the data preprocessing; inputting the preprocessed multi-source processing data into a multi-modal feature fusion model, synchronously extracting local abnormal features and global correlation features in the processing process, and fusing to obtain a fused feature vector; inputting the fusion feature vector into a machining quality prediction model to obtain a surface roughness prediction value and a size error prediction value, and further obtaining a comprehensive machining error; on the basis of the comprehensive machining error, the parameter optimization model is used for optimizing the machining parameters, a parameter adjusting instruction is generated and sent to a machine tool numerical control system to drive the machining parameters to be updated, workpiece material characteristics and environment parameters are included, machining of various materials is supported, intelligent and precise regulation and control of the machining process are achieved, and the machining efficiency is improved. The problems of poor adaptability, one-sided information and no self-optimization capability in the prior art are solved.

The invention relates to the technical field of numerical control machining, in particular to a compensation machining method based on embedded physical model driving. The method comprises the following steps: deploying an edge computing platform embedded with a physical model at the near end of a machine tool; the numerical control system executes a measurement program to drive the on-machine measuring head to collect workpiece coordinate data and upload the workpiece coordinate data to the edge calculation platform, and the edge calculation platform reconstructs a workpiece actual model and compares the workpiece actual model with a theoretical model to calculate machining allowance distribution; taking the margin distribution as input, and calling a finite element solver in an edge computing platform to simulate and obtain workpiece elastic cutter relieving deformation distribution; and calculating a compensation cutter location point coordinate for machining based on a reversible deformation principle. According to the method, through cooperative operation of the edge computing platform and the embedded physical model, online closed-loop control over measurement-calculation-compensation of machining errors is achieved, the real-time performance and precision of compensation machining are remarkably improved, and cutter relieving deformation caused by cutting force is effectively restrained.

The invention relates to the technical field of mechanical manufacturing detection, and particularly discloses an online detection method for an integrated thread go-no go gauge of a multi-axis machining center. The method aims to solve the problems of low efficiency and secondary clamping errors caused by off-line detection after thread machining. The method is characterized in that on a multi-axis machining center, a thread detection unit integrated with a torque sensor and a linear driver serves as a standard tool to be managed; after machining, the main shaft automatically grabs the unit and positions the unit to a threaded hole, and constant-force propelling of a driver is cooperated with rotary feeding of the main shaft; in the process, the system collects torque-screwing depth data in real time, a process curve is generated, the process curve is compared with a standard curve template in form, and the non-go gauge screwing torque gradient is analyzed, so that authority judgment and quality analysis of the thread function are completed online, and a result is fed back to a numerical control system to form a process closed loop. The technical problems of thread on-machine authoritative detection and process closed-loop control are solved.

The invention relates to the technical field of numerical control machine tool control, and provides an automatic precision adjustment control method and system for a numerical control machine tool, and the method comprises the steps: continuously judging the influence degree of a non-uniform mechanical wear error and a thermal deformation error on the current machining precision according to a non-uniform mechanical wear error feature and a thermal deformation error feature; according to the non-uniform mechanical wear error characteristics, calculating the mechanical wear compensation amount related to the motion axis position and the motion direction; according to the thermal deformation error characteristics, calculating a thermal deformation compensation amount related to the machining time length; according to the influence degree, the combination mode of the mechanical wear compensation amount and the thermal deformation compensation amount is adjusted, the mechanical wear compensation amount and the thermal deformation compensation amount are fused based on the combination mode, and a motion instruction compensation value is generated; and continuously superposing the motion instruction compensation value into an original motion instruction of the numerical control system so as to realize automatic precision adjustment and control. The method has the effect of improving the machining precision, stability and production efficiency of the numerical control machine tool.

The invention provides a voltage division control system and method for a numerical control plasma cutting machine, and the system comprises a man-machine interaction module which is used for receiving a voltage division ratio setting instruction inputted by a user; the signal acquisition module is used for acquiring a first voltage signal output by the plasma cutting machine; and the control module is used for determining the currently-adopted voltage division ratio according to the voltage division ratio setting instruction and processing the first voltage signal based on the currently-adopted voltage division ratio to obtain a second voltage signal, and the second voltage signal is used for being transmitted to a numerical control system of the plasma cutting machine. By the adoption of the method and device, the voltage division ratio does not need to be switched in the cutting machine, switching is flexible, and the method and device can be suitable for more different scenes.

The invention belongs to the technical field of machine tool control, and particularly discloses a machine tool hydrostatic guideway feeding system motion error compensation method and a storage medium. The method comprises the following steps: measuring and acquiring Z-direction error data of the guide rail; processing the data by Fourier series and fitting a guide rail contour error; inputting load, oil pad geometric parameters and guide rail working parameters; a workbench-guide rail balance equation based on consideration of guide rail contour errors is established, and a Z-direction motion error model perpendicular to the feeding direction of a workbench is calculated to serve as a low-fidelity model; the Z-direction deviation ez'and the coordinate Y of the workbench are measured and obtained to serve as a high-fidelity model; constructing a multi-fidelity model by combining the low-fidelity model and the high-fidelity model based on a CO-Kriging method; and inputting the multi-fidelity model into a numerical control system, reading the position of the workbench in real time, substituting the position into the multi-fidelity model, and calculating and compensating the Z-direction motion error of the workbench. The method has the advantages of being easy to operate, high in compensation precision and good in reliability and flexibility.

The application relates to the technical field of numerical control and discloses a data management method, system, medium and equipment based on a data warehouse, which adopts an architecture design of 'running memory + data warehouse', that is, current parameter values are loaded into a software memory, and the rest of the parameter values are stored in the data warehouse; when function switching is performed, corresponding parameters are read from the data warehouse and loaded into the running memory to directly replace original parameters; compared with a traditional method, the application uses the data warehouse to manage parameters, can greatly reduce software memory consumption, significantly improves the memory resource utilization efficiency of numerical control system software, and improves the flexibility and expandability of data management; in addition, the data warehouse has universality and can be applied to multiple fields including but not limited to laser processing data management, spatial error compensation data management and the like, and has wide application prospects.

The invention discloses a five-axis numerical control machine tool rotating shaft reference point position error correction method and system. The method comprises the steps that a special tool and a measuring probe are installed on a machine tool workbench; the straight shank inspection rod is installed on a machine tool spindle, and the length parameter of the straight shank inspection rod is input into a numerical control system; controlling each axis of the machine tool to move, enabling the measuring probe to respectively touch the near end and the far end of the straight shank inspection rod, and recording coordinate values in a preset direction during two times of touch; according to the coordinate value in the preset direction during touch and the distance between the near end and the far end in the direction perpendicular to the preset direction, the angle error of the rotating shaft is calculated; reading the reference point compensation value of the current rotating shaft in the numerical control system, and correcting the reference point position of the current rotating shaft according to the reference point compensation value and the angle error. The special tool is arranged on the machine tool, and the measuring probe is combined with the machine tool spindle to realize automatic measurement and compensation of the spindle reference point error, so that the detection and compensation are short in time and high in efficiency.

The invention provides self-made small five-axis numerical control machine tool teaching equipment and an operation method thereof, and relates to the technical field of numerical control machining teaching equipment. A main shaft system and a clamp are arranged on the five-axis movement system; a transparent safety protection cover is arranged on the peripheral side of the five-axis movement system in a covering manner; a plurality of cameras are arranged on the five-axis movement system or the safety protection cover; the control system is respectively connected with the plurality of cameras, the main shaft system, the clamp and the five-axis movement system; according to the invention, an open modular structure is adopted, key moving parts and a processing process are completely exposed or visible through the transparent protective cover, so that a teacher can explain step by step and observe at a short distance with students; the machine tool body is made of light-weight materials such as aluminum alloy or engineering plastics, an open source numerical control system and standardized electromechanical components are combined, and on the premise that the basic teaching function is guaranteed, the manufacturing cost and maintenance complexity of equipment are greatly reduced.

The present disclosure provides a processing and imaging method, a computer numerical control (CNC) system, and a computer program medium. The CNC system is configured with a long-range camera and a movable close-range camera, and the method includes: performing shooting through the long-range camera and the close-range camera to obtain a panoramic image and a close-range local image; and displaying the panoramic image and the close-range local image in an interactive interface of the CNC system.

This invention discloses a closed-loop compensation method and system for the entire lifecycle accuracy of high-end industrial machine tools, belonging to the field of high-end CNC machine tools and industrial machine tools technology. This system constructs a complete system encompassing machine tool accuracy forward design, full-dimensional error modeling, online real-time detection, closed-loop dynamic compensation, and lifecycle accuracy maintenance. It can achieve a positioning accuracy of ≤0.0005mm and a repeatability of ≤0.0003mm under rated load for domestically produced machine tools, stably achieving IT4 level machining accuracy, with accuracy retention improved by 3 times compared to conventional domestically produced machine tools. This invention breaks through the core bottleneck of low accuracy upper limit, poor accuracy retention, and long-term reliance on imported CNC systems in domestically produced high-end machine tools. It is fully compatible with domestically produced machine tools and CNC systems, 100% independently controllable, and can be widely applied in scenarios such as army-specific five-axis CNC machine tools and artillery / ammunition precision machining centers.

This invention discloses a fully automatic metal honeycomb core automatic layout and cutting device, belonging to the field of metal cutting technology. It solves the technical defects of existing metal honeycomb core cutting equipment, such as core cell crushing and edge chipping, difficulty in active avoidance by the circular saw blade, and incomplete automated layout. The device includes a frame assembly, a workpiece feeding mechanism, a workpiece positioning unit, a workpiece clamping structure, a circular saw blade cutting moving component, a workpiece rotation mechanism, and a CNC control system. These systems work collaboratively to achieve fully automatic layout and cutting of the metal honeycomb core panels. The circular saw blade cutting moving component drives the circular saw blade to descend to the workpiece surface for follow-up cutting. After cutting, it actively avoids obstacles through lifting and lateral movement. The workpiece rotation mechanism is integrated with the workpiece clamping structure, enabling precise rotation of the honeycomb core. Combined with the fully automatic layout software built into the CNC system, it achieves a closed-loop automatic layout and cutting process.