8496 results about "Processing accuracy" patented technology

The invention relates to the technical field of numerical control machining, in particular to a tool cutting path machining error compensation method based on online monitoring, which comprises the following steps: establishing a cutting path data model; constructing a multi-modal sensor assembly, and collecting error data in real time; establishing an error state equation to carry out error calculation; constructing a double-layer compensation mechanism; and executing the compensation instruction by adopting a real-time control system. Through real-time synchronous monitoring of the multi-mode sensor, a mixed error resolving framework and a double-layer intelligent compensation mechanism, the influence of dynamic error sources such as cutter abrasion and machine tool thermal deformation can be effectively overcome, the machining precision and the surface quality are remarkably improved, and the high-precision machining requirements in the fields of aerospace, precise instruments and the like are met.

The invention discloses a machine tool control method and system based on mechatronics, and the method comprises the steps: outputting an optimal cutting track sequence according to the three-dimensional model features and material attribute parameters of a machined workpiece; based on the optimal cutting track sequence, motion interference among shafts of the machine tool is eliminated through dynamic weight distribution, and an anti-interference optimization machining instruction is generated; constructing a nonlinear vibration wave propagation model according to the coupling relation between the spindle rotating speed and the feeding speed, and generating a steady speed regulation and control signal; generating an energy efficiency optimal parameter set including motor torque, cooling power and lubricating frequency based on the energy consumption efficiency constraint condition and the steady speed regulation and control signal; and outputting a closed-loop control signal and synchronously updating the three-dimensional machining precision thermodynamic diagram according to the real-time data in the machining process and the predicted deviation of the digital twin model. According to the embodiment of the invention, global optimization, dynamic adaptation and efficient operation of the machine tool can be realized, and technical support is provided for intelligent upgrading of the modern manufacturing industry.

The invention relates to the technical field of information, in particular to an error compensation method for multi-axis linkage machining of a mold blank hole system, which comprises the following steps: judging the time range of a tool changing window based on an error accumulation trend, if error accumulation reaches a preset threshold value, triggering a compensation action, otherwise, continuously monitoring error change; aiming at the complexity of a motion track, a nonlinear optimization algorithm is adopted, an execution path of a compensation action is optimized, and conflicts with a processing action are reduced; according to the optimized compensation path, the control parameters of the servo motor are adjusted in real time, and it is ensured that the compensation action is stably executed in the machining process; dynamically updating an error model through data of a main shaft temperature sensor and a tool wear monitoring device, and continuously optimizing a time point and an execution path of a compensation action; in the machining process, the error accumulation condition is monitored in real time, if the error exceeds the preset range, the compensation action is triggered again, and the machining precision is ensured.

The invention relates to the technical field of program control, in particular to a servo position control method and system applied to an engraving and milling machine. The method comprises the following steps that real-time temperature data and real-time load data of lead screws of all shafts in the engraving and milling machine are obtained; collecting multi-node temperature distribution data of the engraving and milling machine; obtaining cutting force data and resonant frequency characteristic values in the engraving and milling machine; constructing a screw rod reverse clearance prediction model based on the real-time temperature data and the real-time load data of the screw rod, and generating a clearance compensation value; performing pre-compensation control before the servo position direction of each axis is changed based on the clearance compensation value to obtain a correction position instruction; and performing thermal deformation simulation on the engraving and milling machine based on the multi-node temperature distribution data to generate thermal deformation compensation amounts of all shafts. Through multi-source data fusion and intelligent control, comprehensive optimization of the servo position system of the engraving and milling machine is achieved, the machining precision, dynamic response and stability are effectively improved, and efficient and reliable operation of high-speed and high-precision machining is guaranteed.

The invention relates to the technical field of machining precision control, in particular to a laser carving precision control method and system.The laser carving precision control system comprises a feature collecting unit, a model building and analyzing unit, a dynamic threshold value adjusting unit and an online incremental learning unit, and the feature collecting unit collects vibration, current and temperature data through a multi-source sensor array; the model construction analysis unit realizes dynamic prediction of processing parameters by combining a bidirectional long-short-term memory network with an attention mechanism, and the dynamic threshold adjustment unit dynamically updates parameters of a numerical control system based on a material hardness real-time detection and thermal coupling model. The online incremental learning unit automatically generates training samples through error data, continuously optimizes model parameters and constructs a'data acquisition-intelligent modeling-dynamic compensation-model evolution 'closed loop, so that accurate prediction and adaptive adjustment of machining parameters are realized, and the adaptability of the manufacturing process to multi-variety and small-batch working conditions is remarkably improved.

The invention belongs to the technical field of numerical control machine tool machining, and particularly discloses a numerical control machine tool machining reference point correction method and system, a terminal and a medium. Based on the three-dimensional coordinate information, the actual position of a preset reference point on the machine tool is extracted and compared with a preset theoretical reference point, and a deviation value is calculated; executing coordinate deviation aggregation analysis according to the deviation value, and determining coordinate system correction parameters including a translation vector and a rotation matrix; the corrected parameters are issued to a numerical control machine tool control system, and a current workpiece coordinate system is updated; and after the coordinate system is updated, the machining task continues to be executed, the machining state is monitored in real time, and if it is detected that the deviation exceeds a threshold value, the measurement and correction process is automatically triggered again. Automatic correction of the reference point and real-time compensation of the workpiece coordinate system can be achieved, the machining precision is improved, manual intervention is reduced, and the method is suitable for high-precision numerical control machining scenes.

The invention discloses an on-line automatic measurement and compensation method for digital manufacturing, which comprises the following steps of: scanning the surface of a workpiece to be processed in real time through a high-precision laser scanner to obtain a three-dimensional geometric model of the workpiece; environmental parameters in the laser machining process are monitored in real time through multiple sensors; on the basis of the collected real-time geometrical morphology and environmental parameters, the processing deviation of the workpiece is calculated in real time through a data processing and analyzing module, and a compensation model is generated; according to the calculation result of the compensation model, the central control system adjusts a laser processing path and processing parameters in real time; after each time of processing, a feedback signal of each time of error is used as a basis for updating the compensation model so as to ensure that the compensation model is continuously optimized. The method has the following advantages and effects: dynamic correction and long-term optimization of machining errors can be realized by combining real-time data acquisition and an optimization compensation model technology of a deep learning algorithm, so that the machining precision and efficiency are improved.

The invention provides a mobile phone middle frame CNC machining optimization method based on artificial intelligence. The mobile phone middle frame CNC machining optimization method comprises the steps that the surface of a mobile phone middle frame workpiece is scanned in real time, initial data of material hardness distribution are obtained, a hardness distribution mapping graph is formed, and a hardness change region division result is obtained; the hardness grade distribution and the cutting force sudden change amplitude of the cutting force sudden change specific position are recognized, adjustment parameters of the cutter feeding speed are obtained through calculation according to the hardness grade distribution and the cutting force sudden change amplitude, and a speed adjustment instruction is generated according to the adjustment parameters; and dynamically matching the cutting depth parameters according to the speed adjusting instruction, determining target cutting depth configuration, and matching the cutting path deviation monitoring value, the vibration amplitude index and the machining precision deviation value in real time through the target cutting depth configuration.

The invention relates to the technical field of laser etching, and discloses a laser double-sided etching stress control method and system for a quartz crystal, and the method comprises the steps: generating a double-sided complementary etching path based on the initial stress distribution of the quartz crystal; and front and back laser energy input is synchronously controlled, so that a double-sided thermal stress field forms dynamic balance. And obtaining the stress gradient distribution of the etching area in real time based on spectral analysis. And according to the deviation value of the stress gradient and a target threshold value, a laser processing parameter combination is dynamically adjusted, and a morphology-stress coupling optimization mode is started in a final processing stage. By accurately controlling the thermal stress balance and the stress gradient distribution in the laser processing process, the residual stress of the quartz crystal can be effectively reduced, and the shape and the performance of the quartz crystal are optimized, so that the processing precision, the material stability and the device reliability are improved.

The invention discloses a high-precision drilling control method and system for a multi-layer PCB, and relates to the technical field of intelligent control. The method comprises the following steps: scanning and analyzing to obtain layered material characteristics and structural size information of a multi-layer PCB, and carrying out clamping fixation and positioning hole processing on the multi-layer PCB to obtain a PCB positioning hole; a drilling machining three-dimensional coordinate axis is constructed; a PCB drilling strategy space is constructed, the PCB drilling strategy space is adopted to conduct drilling analysis on the layered material characteristics and the structure size information in sequence according to the PCB drilling machining requirement, and layered drilling strategy parameters are obtained; and the layered drilling strategy parameters are mapped to a drilling processing three-dimensional coordinate axis for space route fusion, layered drilling processing parameters are determined, and high-precision drilling and quality detection closed-loop control are executed on the multi-layer PCB. The technical problem that in the prior art, the positioning precision is low in the drilling process of the multi-layer PCB is solved, and the technical effect of improving the drilling machining precision of the multi-layer PCB is achieved.

The invention discloses a precision compensation method of a composite numerical control machine tool, and particularly relates to the technical field of precision control of the numerical control machine tool, which comprises the following steps: synchronously acquiring temperature, vibration and force information under the driving of a unified clock through multiple types of sensors deployed at key nodes of the machine tool, and generating a synchronous multi-source sensing data set with aligned timestamps; inputting the data set into a multivariable coupling error model obtained through data driving training, and calculating and generating a comprehensive space volume error predicted value of a tool nose point of the tool; performing inverse calculation based on a machine tool kinematic chain model, and generating a multi-dimensional micro-compensation instruction set containing the compensation amount of each motion axis and the sequential relationship; and finally, dynamically writing the instruction set into a servo control ring of the numerical control system through a real-time data interface, and driving each motion shaft to execute synchronous compensation motion. According to the method, comprehensive compensation of multi-physics field coupling errors such as temperature, vibration and force load is achieved, and the machining precision and stability of the numerical control machine tool under complex working conditions are improved.

The invention belongs to the technical field of lean manufacturing monitoring, and particularly relates to an anomaly detection and processing method for a production process of an intelligent factory, and the method comprises the steps: constructing a dual monitoring node chain and a layered anomaly association evaluation node chain based on a preset production process flow chain, and collecting the operation state and process parameter data of equipment in real time; the hierarchical anomaly association assessment node chain analyzes the equipment health degree through the operation state assessment sub-chain, mines a cross-process anomaly propagation relationship through the whole-process technology anomaly assessment sub-chain, generates a whole-process association anomaly assessment space, fuses real-time data and historical anomaly strategy index information based on a distributed algorithm, and finally performs the whole-process association anomaly assessment on the basis of the real-time data and the historical anomaly strategy index information. Dynamically constructing a difference exception processing strategy library, and realizing processing strategy synchronous feedback of positioning exception; according to the invention, through a dual monitoring architecture and hierarchical association evaluation analysis, the problems of fuzzy abnormal propagation path and response lag are solved, and the real-time performance and processing accuracy of abnormal detection are improved.

The invention discloses a numerical control machining intelligent monitoring method and system based on industrial Internet of Things, and relates to the technical field of industrial Internet of Things and intelligent manufacturing. The method mainly comprises the steps of multi-source data real-time acquisition, edge side data preprocessing, cloud intelligent analysis and diagnosis, digital twin closed-loop optimization and visualization and feedback control. According to the invention, visualization and feedback control are adopted. By introducing the digital twin-driven real-time process optimization and multi-modal data fusion intelligent early warning mechanism, the machining precision and efficiency are remarkably improved.

The invention discloses a dynamic error real-time compensation method and system for a heavy-load vertical machining center, and belongs to the technical field of high-end numerical control equipment, precision manufacturing and intelligent control. Inputting the state vector into a dynamic error model to solve a three-dimensional space dynamic error vector; processing the error vector to generate a real-time compensation instruction; a compensation instruction is injected into the numerical control system to correct the machining track online; and obtaining a real error to update the dynamic error model on line. According to the method, the technology of combining multi-physics field data fusion and a neural network agent model is adopted, frequency decoupling and dual-channel compensation injection are performed on errors, and an online model self-optimization feedback closed loop is established, so that real-time and high-precision compensation on multi-source coupling dynamic errors such as thermal-induced and force-induced multi-source coupling dynamic errors can be realized; and the limit machining precision and stability under the heavy-load machining condition are remarkably improved.

The invention relates to the technical field of production line control, and discloses an intelligent control method and system for production line mold machining. According to the method, a pressure distribution state is determined by obtaining initial cutting parameters of a cutter and surface pressure data of a mold, mold node stress distribution is calculated by utilizing a three-dimensional finite element model, and a stress concentration position is identified. And predicting a mold deformation trend through a linear regression model according to the thermal expansion coefficient and the environment temperature data. Meanwhile, the initial cutting parameters are optimized by combining a cutting parameter optimization objective function, and the objective function comprehensively considers factors of tool wear, surface quality and residual stress. And on the basis of a die deformation prediction result, a dynamic compensation algorithm is adopted to adjust supporting structure parameters and optimize cutting parameters, and finally optimal cutting parameters and a target tool path are generated. According to the method, precise coordination control over pressure distribution and mold deformation under the complex working condition is achieved, the residual deformation risk is reduced, and the mold machining precision is improved.

The invention relates to the technical field of numerical control machine tool operation, in particular to a machining data acquisition method and system applied to a numerical control machine tool, and the method comprises the steps: obtaining a machining precision error value according to the difference between cutting parameters of different dimensions and initial cutting parameters; according to the difference change condition of the cutting parameter and the initial cutting parameter, a tool wear characteristic value is obtained; obtaining a tool wear influence value according to the tool wear characteristic value and the cutting force change influence value; obtaining a machining precision error influence value according to the tool wear influence value and the machining precision error value; acquiring an acquisition frequency regulation factor at the current moment according to the variation trend of the processing precision error influence values of different target error historical time periods; and acquiring the boring and milling data acquisition frequency at the current moment based on the acquisition frequency regulation factor. The boring and milling precision of the numerical control machine tool is improved.

The invention relates to the technical field of numerical control, in particular to a control method and system of numerical control equipment and a medium. The method comprises the following steps: collecting workpiece surface temperature distribution data and obtaining a workpiece CAD model; importing the workpiece surface temperature distribution data into a workpiece CAD model for internal temperature conduction inversion to obtain a first workpiece internal temperature distribution diagram; identifying a non-key area of the workpiece; performing a pre-cutting test on the non-key area of the workpiece to collect the temperature in the cutting process; performing nonlinear thermal expansion modeling on the workpiece based on the cutting process temperature to obtain a workpiece thermal expansion characteristic model; and an internal temperature distribution diagram of the second workpiece is obtained, and the internal temperature distribution diagram of the second workpiece represents the initial thermal state of the workpiece before formal machining. The numerical control machining precision and the cooling system efficiency are improved, the machining cost and resource consumption are reduced, and the machining adaptability, flexibility and stability are enhanced.

The invention discloses a metal grinding machine tool grinding wheel wear compensation type intelligent control system, and relates to the technical field of mechanical manufacturing automation, and the system comprises a contact type reference detection module which is used for obtaining the initial contour and reference wear loss of a grinding wheel through discrete point measurement in a non-machining state; the multi-parameter non-contact real-time detection module is used for collecting acoustic emission, vibration and spindle current signals in the grinding process through three types of sensors; the grinding environment sensing module collects the temperature of a grinding area and the cutting fluid concentration; the intelligent control unit receives reference data and an environment signal, performs deep learning on a wear loss prediction model after multi-source data fusion, performs periodic reference calibration, analyzes the dynamic wear loss, and synchronously transmits the data to the data storage and tracing module; the executing mechanism adjusts grinding wheel feed amount compensation according to the dynamic abrasion loss; and the data storage and tracing module stores full-process data in real time. According to the system, high-precision and real-time wear compensation is achieved, the machining precision and consistency are improved, and high-end manufacturing requirements are met.

The invention provides an auxiliary positioning method and system in multi-process switching of a precision mold, and relates to the technical field of precision machining.The method comprises the steps that process reference information of a mold in a current process is collected, and a three-dimensional mold grid model is constructed; performing grid comparison and offset calculation by using the three-dimensional mold grid model on the basis of the positioning reference data to obtain real-time offset information; taking elimination of the real-time offset information as a target, performing primary position adjustment on the mold to obtain a primary corrected mold; and according to the historical positioning error of the next adjacent working procedure, secondary position adjustment is conducted on the primary correction mold, and mold machining of the next adjacent working procedure is executed. The technical problems of mold positioning error accumulation and machining precision reduction caused by lack of a real-time pose offset sensing and historical error compensation mechanism in the prior art are solved, the mold multi-process switching positioning precision is remarkably improved, the stability and reliability of multi-process switching are enhanced, and the mold machining quality is improved.

The invention provides a big language model pruning method and device, a storage medium and a program product. The method comprises the steps of obtaining a pre-trained big language model and a corresponding text data set; dependent neurons are activated through iteration, interdependent coupling groups in the large language model are recognized, and the coupling groups serve as basic units of pruning; based on the coupling group, performing coarse-grained evaluation and fine-grained evaluation on the parameters in the group, and fusing and calculating the importance of the parameters to generate a pruning mask; redundant parameters in the model are removed through pruning operation according to the pruning mask; performing parameter optimization on the pruned model, and performing fine tuning through a text data set to generate a target large language model; and deploying the target large language model to a computing device, executing a text generation or semantic analysis task, and counting the task accuracy rate and the model compression rate. According to the method, the parameter quantity of the model is effectively reduced, so that deployment is simple, and the downstream task processing accuracy of the pruned model is improved.

The invention discloses a visual precise plastic mold surface milling system and method, and the method comprises the steps: obtaining and analyzing the surface topography data of a milling region and a tool displacement track in real time through an optical sensor, and extracting wear-related micro-deformation features through multi-band filtering processing; generating a deviation vector matrix through three-dimensional mapping of the deviation vector matrix and a reference curved surface, and realizing dynamic calculation and path correction of the cutter offset; the high efficiency and stability of the compensation cutting process are ensured by combining the self-adaptive adjustment of the rotating speed and the feeding rate of the main shaft; meanwhile, the compensation effect is projected to a visual interface in real time to form a comparison layer, hardware acceleration is started to maintain the system response speed when the frame rate fluctuates, and finally the material removal volume is evaluated according to the deviation vector matrix to intelligently control the machining cycle termination time. Therefore, the problem of microtopography deviation caused by tool abrasion in the milling process of the complex curved surface mold is effectively solved, and the machining precision and efficiency as well as the robustness and the automation level of the system are remarkably improved.

The invention relates to the technical field of pulsed ion beam processing, and discloses a positioning system for a pulsed ion beam processing optical element, which can accurately predict nonlinear structure deformation in a complex thermal environment and eliminate compensation deviation caused by a traditional linear model. A multi-sensor data fusion mechanism effectively suppresses the interference of local measurement noise on a control decision, and improves the reliability of a compensation strategy. And a closed-loop control system realizes real-time verification and dynamic optimization of the compensation effect, and machining precision reduction caused by error accumulation is avoided. The submicron executing mechanism ensures that the thermal drift compensation amount is accurately converted into platform pose adjustment, the high-precision optical element machining requirement is met, and the problem that a traditional positioning system is incomplete in model input due to the single temperature field information collection dimension is solved. Meanwhile, the dynamic characteristics of the temperature-displacement coupling relation are verified through high-precision displacement data.

The invention discloses a Token-based visual task generation method, and belongs to the technical field of intelligent task automation, and the method comprises the steps: S1, cross-modal alignment; s2, performing visual Token processing; s3, constructing a task description Token sequence: constructing the task description Token sequence based on a predefined visual task template library according to requirements of a user or a specific application scene; s4, checking task feasibility; s5, task priority scheduling; s6, training a task generation model; s7, dynamic task allocation; and S8, optimizing the model. According to the method, the long sequence processing capability is optimized through a hierarchical merging strategy, the compactness of feature expression is realized while space position information is reserved, linear projection and enhanced position coding are combined to form a visual Token sequence with strong representation capability, local detail features are contained, a global context relationship is kept, and the method is suitable for the visual Token sequence with high representation capability. High-information-density feature input is provided for subsequent task processing, and the processing precision of various visual algorithms is effectively improved.

The invention relates to the technical field of machining, in particular to a flexible clamp for turning a variable-diameter thin-wall cylinder component and a turning method. The flexible clamp comprises a supporting mechanism and a flexible supporting clamp mechanism which are detachably connected, the supporting mechanism comprises a supporting rod, the supporting rod is detachably connected with the flexible supporting clamp mechanism, and the flexible supporting clamp mechanism comprises a plurality of first supporting assemblies arranged in the circumferential direction. The flexible supporting clamp mechanism can be inserted into the variable-diameter cylinder section of the variable-diameter thin-wall cylinder component in the axial direction of the variable-diameter thin-wall cylinder component, and the first supporting assembly is adjusted to extend in the radial direction so that the first supporting assembly can abut against the inner wall of the variable-diameter cylinder section. The flexible supporting clamp mechanism can effectively avoid workpiece deformation caused by lateral component force, and the flexibility of the flexible clamp is improved. In the machining process, the elastic deformation and vibration of the barrel are controlled within a very small range, and the machining precision is remarkably improved.

The invention relates to the technical field of the manufacturing industry, and discloses a high-integration variable-focus laser engraving control method and system, and the method comprises the steps: carrying out the high-frequency data collection of the surface of a workpiece through a sensor array, and obtaining an initial surface state data set; and analyzing surface tiny differences by using the feature extraction model, and determining a dynamic trend distribution diagram. A real-time monitoring technique is employed to track the surface change, and focus position correction is triggered when it is detected that the height fluctuation exceeds a threshold. And adjusting the focus position according to a deviation correction algorithm, and driving an execution mechanism to carry out real-time correction. And the processing effect is analyzed and evaluated through data comparison, a parameter optimization instruction is generated, and the dynamic adjustment control model is called to finely adjust operation parameters. And finally outputting a processing quality evaluation result, and generating a complete log file. Real-time precision monitoring and dynamic adjustment in the complex surface machining process are achieved, the machining precision and stability are improved, and the high-end manufacturing standard requirement is met.

The invention provides a mold machining deviation dynamic correction method, system and equipment based on real-time monitoring, and relates to the technical field of industrial machining control. The method comprises the steps that a target machining plan of a target mold is read; performing collaborative analysis on the target design parameters and the target process requirements to obtain a real-time workpiece preset model; dynamically monitoring the machining process of the target mold; according to the real-time state parameters of the target mold, a real-time workpiece actual model is constructed; comparing the real-time workpiece actual model with a real-time workpiece preset model to obtain a model comparison deviation; performing correction optimization to obtain an optimal correction strategy; and carrying out dynamic processing correction on the target mold. According to the method and the device, the technical problem that the machining precision and the quality of the mold are affected due to the fact that the dynamic error is difficult to accurately recognize because the preset model is difficult to capture and correct the dynamic change generated in the machining process in time is solved, and the machining precision and the quality of the mold are improved by recognizing the dynamic error and determining the optimal correction strategy.

The invention provides a sensing processing method, a sensing integrated system, electronic equipment and a storage medium, relates to the technical field of communication, and is used for improving the sensing data processing accuracy of the sensing integrated system based on artificial intelligence and the convenience of data transmission between modules. The method is applied to a perception function entity, and comprises the following steps: acquiring a trained artificial intelligence model from a perception server; processing the sensing data based on an artificial intelligence model to obtain a sensing result; and sending the artificial intelligence perception result to the core network element.

The invention provides a grinding control method, device and equipment for a transmission gear and a storage medium, and the method comprises the steps that a three-dimensional digital model of the transmission gear to be ground is constructed according to multi-dimensional physical parameters and material parameters collected by the transmission gear to be ground; a multi-stage grinding process parameter set is generated according to the three-dimensional digital model and a process parameter database; determining grinding track data of the transmission gear to be ground according to the multi-stage grinding process parameter set and the three-dimensional digital model; performing dynamic simulation on the grinding track data, and optimizing the grinding track data based on simulation feedback; and grinding the transmission gear to be ground according to the optimized grinding track data. A personalized three-dimensional digital model is constructed by collecting multi-dimensional physical and material parameters, accurate generation and optimal control of a grinding track are achieved based on the model and a multi-stage process parameter set, and the machining precision of the gear grinding process is effectively improved.

The invention relates to a curved glass processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: generating a three-dimensional curved surface model corresponding to to-be-produced curved glass based on geometric parameters, mechanical property data and optical property data of the to-be-produced curved glass; according to the model data of the three-dimensional curved surface model, dynamic stress distribution information of the curved surface glass to be produced is determined; generating a forming control instruction set of the curved glass to be produced according to the model data and the dynamic stress distribution information; obtaining formed curved glass according to the forming control instruction set; carrying out annealing treatment on the formed curved glass to obtain treated curved glass; and obtaining first point cloud data of the processed curved glass and second point cloud data of the three-dimensional curved surface model, and determining a quality detection result of the processed curved glass according to the difference between the first point cloud data and the second point cloud data. By adopting the method, the processing accuracy of the curved glass can be improved.

The invention provides a five-axis series-parallel numerical control machine tool machining process virtual monitoring simulation method and system based on digital twinning, and the method comprises the steps: building an information interaction mechanism between a physical machine tool and a digital twinning model, enabling a server side to collect sensor data, and transmitting the real-time data to a client side through a communication protocol; the client processes the data and drives the digital twin model. And aiming at potential errors of twin system forecast, tool setting error compensation can be carried out in real time, so that the machining precision is improved. Meanwhile, the system supports an offline simulation function, combines an inverse kinematics algorithm and an NC code, fuses a material removal model, simulates a machining process, evaluates machining performance and errors, and provides an optimization basis for machining strategies of workpieces with different geometrical shapes and materials. According to the method, bidirectional interaction between the physical entity and the virtual model is achieved, the real-time monitoring and visualization capability of the machining process is enhanced, a reliable simulation evaluation and optimization means is provided for machining of complex parts, and the method has wide industrial application prospects.