636 results about "Numerical control system" patented technology

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 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 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 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 technical field of numerical control, in particular to a steel laser cutting numerical control system and method based on the Internet of Things. The method comprises the following steps: collecting three-dimensional temperature distribution data of a lens group in real time, and obtaining actual position coordinates of a laser focus through a displacement sensor; establishing a thermal deformation focus offset mapping table based on the corresponding relationship between the three-dimensional temperature distribution data of the lens group and the actual position coordinates of the laser focus; in the continuous machining process, workshop environment temperature and humidity parameters are monitored in real time, the thermal deformation amount of the lens set is predicted according to the workshop environment temperature and humidity parameters based on the thermal deformation focus offset mapping table, and the laser focus position is compensated and adjusted according to the thermal deformation amount of the lens set. The problems that an existing numerical control system can only calibrate linear deformation and lacks dynamic correction capacity for focus three-dimensional offset caused by nonlinear thermal creep of the lens set are effectively solved, and the influence of environment change on machining precision in the machining process can be coped with in real time.

The invention provides an adjustable numerical control program mistake-proof machining method, device and system and a storage medium, and relates to the technical field of numerical control, and the machining method comprises the steps that a machining three-dimensional model of a to-be-processed workpiece is established through a simulation unit; based on the machining three-dimensional model, initial tool path parameters are determined; simulation is carried out according to the initial tool path parameters, a simulation result is obtained, and the result comprises virtual margin distribution. And adjusting the initial tool path path parameters according to the virtual margin distribution so as to determine actual machining path parameters. And rough machining is conducted on the to-be-treated workpiece according to the actual machining path parameters, and the treated workpiece is obtained. And the actually-measured allowance of the processed workpiece is obtained, machining parameters of the numerical control system are determined based on the actually-measured allowance according to a preset optimization algorithm, and finish machining is conducted according to the machining parameters. By establishing the three-dimensional model and analogue simulation, potential problems can be recognized in advance, errors occurring in the actual machining process are reduced, and therefore the machining precision of a final product is improved.

The invention belongs to the technical field of numerical control machine tool control, and discloses a deep groove ball bearing ring grinding error compensation method and system, and the method comprises the steps: monitoring the temperature of a numerical control grinding machine body and a main shaft in real time through a plurality of temperature sensors, and obtaining the temperature field distribution data of a numerical control grinding machine; according to the numerical control grinding machine temperature field distribution data, the temperature gradient of each temperature measurement position is calculated; comparing each temperature gradient obtained by calculation with a preset temperature gradient threshold value, and judging whether a temperature measurement position with the temperature gradient exceeding the temperature gradient threshold value exists or not; when the temperature measurement positions with the temperature gradients exceeding the temperature gradient threshold exist, error compensation parameters of the numerical control system are determined according to the temperature gradients of all the temperature measurement positions, and the grinding machining track and grinding parameters are corrected; therefore, the grinding precision of the deep groove ball bearing ring can be 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 crankshaft outer circle and end face integrated grinding equipment and a grinding method, and relates to the field of grinding equipment. According to the technical scheme, a single grinding machine is used for replacing three grinding machines in the original process, equipment investment is greatly reduced, labor and energy consumption are saved, the production efficiency is improved due to process concentration, and meanwhile the problems that an existing process is large in occupied area and large in labor consumption are solved; the outer circle and the end face of the crankshaft part can be synchronously ground through one-time clamping, positioning errors caused by multiple times of clamping are avoided, a numerical control system can conveniently monitor and compensate machining errors in real time, and the high-precision requirement is guaranteed. Specifically, a grinding wheel spindle is matched with an axial driving assembly to achieve synchronous grinding of the outer circle and the end face of the crankshaft. Diamond needles are welded to the outer circle and the side face of the grinding wheel dressing diamond roller in a buried mode, and dressing of the outer circles of a fixed grinding wheel and a movable grinding wheel and the end face of the movable grinding wheel can be completed. A metal guide wheel is selected to support a crankshaft spiral groove face, guide wheel abrasion is reduced, and grinding precision and efficiency are further guaranteed.

The invention discloses a machine tool energy consumption monitoring and energy-saving optimization control system and method, and belongs to the technical field of industrial automation control, and the method comprises the steps: S1, collecting the instantaneous power of a machine tool through an energy consumption data real-time monitoring module; s2, on the basis of the instantaneous power, the change rate of the instantaneous power and the like, a predictive dynamic anomaly index is calculated; s3, in response to the fact that the dynamic abnormality index is larger than a preset dynamic abnormality activation threshold value, applying a correction item positively correlated with the dynamic abnormality index, and generating a dynamically corrected control parameter; s4, outputting the dynamically corrected control parameters to a numerical control system of the machine tool; and S5, based on the dynamically corrected control parameters and the instantaneous power, adjusting and presetting model parameters of the machine tool energy consumption monitoring and energy-saving optimization control system through a closed-loop feedback and model self-correction module. Intervention is performed through the dynamically corrected control parameters, the feed rate is properly reduced, cutter failure is delayed, and workpiece scrapping 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 discloses a numerical control system feed-forward compensation method based on an edge controller, and the method comprises the steps: enabling the edge controller to obtain a machine tool instruction and a machine tool reality of a numerical control system in real time, calculating a tracking error, calculating a feed-forward compensation amount through an algorithm, transmitting the feed-forward compensation amount to the numerical control system, and installing a PLC function module in the numerical control system. And transmitting the received feed-forward compensation quantity to a servo feed-forward channel through a functional block, thereby realizing the feed-forward compensation function of the numerical control system. Through cooperation of edge calculation and a numerical control system, a feed-forward compensation algorithm is decoupled from a main controller, and high-precision real-time compensation is achieved through the parallel calculation capacity of an edge module. The design not only solves the contradiction between computing power and delay of a traditional system, but also supports multi-source data fusion and adaptive algorithm deployment through an open architecture, and provides a brand new path for performance improvement of a numerical control system.

Methods of additive manufacturing are provided including depositing a printable cementitious composition in a non-planar toolpath by passing the printable cementitious composition through a printhead of a robotic additive manufacturing device to deposit the cementitious composition onto a target. The depositing process forms at least one layer of an additively manufactured cementitious structure. In certain aspects, the additively manufactured structure is a topology optimized (TO) structure having a complex geometry. The methods may use geometrically informed techniques, such as a geometrically informed non-planar (GINP) toolpath, while the depositing further comprises employing a geometrically informed variable (GIV) material deposition method that (i) regulates a flow rate of material passing through the printhead during the depositing; (ii) regulates a speed of the print head; or (iii) both (i) and (ii). The robotic additive manufacturing device may be an automated three-dimensional printer at least partially controlled by a computer numerical control (CNC) system.

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 composite material machine tool machining precision real-time measurement and thermal deformation compensation control method and system, and relates to the technical field of composite material machining. Collecting data through a temperature sensor and a displacement sensor; establishing a multi-dimensional thermal deformation prediction model; measuring the position of the cutter in real time by adopting a laser interferometer; constructing a self-adaptive compensation controller, and generating a compensation instruction by adopting a fuzzy PID control algorithm; and sending the compensation instruction to a numerical control system to realize real-time compensation of the processing track. Closed-loop control over the machining precision of the composite machine tool is achieved, and the machining precision is improved.

The invention provides a self-adaptive feeding speed control method and system for a bus-type linear cutting numerical control system, and the method comprises the steps: dividing the states of a machining process into a short circuit state, a normal discharge state and a no-load state through building a frequency reference benchmark in a no-load state and adopting a two-parameter fusion recognition method based on a current stability parameter and a frequency deviation parameter; based on state recognition, a staged adaptive strategy is adopted to calculate a speed adjustment coefficient: a preset parameter mode is adopted to perform adjustment and data collection in the initial stage, and a support vector machine algorithm is adopted to intelligently calculate an optimal feeding speed adjustment coefficient according to historical data in the later stage; through an improved time division method interpolation algorithm and a bus communication technology, dynamic adjustment of interpolation step length and real-time control instruction transmission are carried out; according to the invention, the machining precision, efficiency and stability are improved, and an intelligent control solution is provided for a bus type medium-speed wire cutting numerical control system.

The application relates to the technical field of machine tools and specifically discloses a gantry machine tool overall real-time thermal error compensation method based on CNN-BIGRU-A, which comprises the following steps: acquiring historical temperature data and historical thermal deformation data of a main shaft and a transmission shaft; constructing a thermal error prediction model, training the thermal error prediction model according to the historical temperature data and the historical thermal deformation data, so as to obtain a trained thermal error prediction model; transmitting current temperature data of the main shaft and the transmission shaft to the trained thermal error prediction model, so as to output a current thermal error compensation value of the main shaft and a current thermal deformation calculation value of the transmission shaft; a numerical control system of the machine tool calculates a current thermal error compensation value of a target position point on the transmission shaft according to the coordinates of the target position point; and the numerical control system of the machine tool compensates according to the current thermal error compensation value of the main shaft and the current thermal error compensation value of the target position point on the transmission shaft. The application can realize a compensation strategy with high frequency and high synchronization.

The invention discloses a reverse clearance compensation method and device, a numerical control system, a storage medium and a computer program product, and the method comprises the steps: determining target increment compensation time for carrying out reverse clearance increment compensation according to a reverse jump value of a motion axis of a numerical control machine tool and a preset function relation model of the reverse jump value and the increment compensation time; according to the reverse gap maximum value, the target increment compensation time and a preset formula, determining compensation values for performing reverse gap increment compensation on the motion shaft in different motion states; and performing increment compensation on the reverse gap according to the compensation value within the target increment compensation time. According to the scheme, reverse gap errors of different scenes are counteracted, the change rhythm is controlled through the target compensation time, mechanical impact and vibration of the machine tool are reduced, and operation stability and positioning precision are improved.

The invention relates to the technical field of laser cutting control, in particular to an automatic detection method for parameters of a control model of a closed-loop numerical control system in laser cutting. The method comprises the following steps: acquiring a system state original data set; interference feature extraction is carried out based on the system state original data set, system interference feature data are obtained, and the system interference feature data comprise steam plume interference feature data and servo motor thermal feature data; performing interference feature extraction on the steam plume interference feature data to obtain plume interference frequency domain sign data; performing motor parameter drift analysis on the thermal characteristic data of the servo motor to obtain motor parameter drift sign data; and constructing a system parameter drift sign library based on the plume interference frequency domain sign data and the motor parameter drift sign data. The problem of cutting precision caused by parameter drift is effectively solved, and the overall performance and reliability of a closed-loop numerical control system in laser cutting are remarkably 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 provides a numerical control machine tool dual-system cooperative control method and device and a storage medium, and belongs to the field of numerical control machining. The method comprises the steps that real-time loads of a first main shaft and a second main shaft are obtained from a numerical control system; and if the load of any one of the two spindles exceeds the corresponding load upper limit, the rotating speeds of the two spindles are linearly reduced from the standard rotating speed to the corresponding transition rotating speed, and meanwhile, the feeding speeds of the two spindles are gradually reduced within the preset adjusting range. The loads of the two main shafts are monitored in real time, when any main shaft load reaches the corresponding load upper limit and machining resonance is about to be generated, the rotating speed of the main shafts is automatically lowered to eliminate the resonance of the main shafts, manual intervention of operators is not needed, full-automatic vibration elimination is achieved, and the working efficiency is improved. And the load upper limits of the two main shafts are obtained through calculation of empirical data of a numerical control machine tool dual-system database, different load upper limits are generated under different working conditions, control is flexible, and the damping effect is good.

The invention relates to the technical field of sensing equipment, in particular to a numerical control lathe multi-sensor fusion monitoring system based on edge calculation. Comprising edge computing nodes deployed in a numerical control system control cabinet, a hardware platform at least comprising a quad-core ARM Cortex-A72 processor, a 16GB DDR4 memory and an NVMe solid state disk is configured, and a real-time operating system is operated; the sensor network layer is a multi-mode sensing unit composed of a vibration sensor array, a temperature sensor group, a current sensor and an acoustic emission sensor, a vibration sensor adopts a three-way accelerometer to be arranged on the surface of a main shaft bearing seat, and the temperature sensor adopts a PT100 platinum resistor to be attached to a main shaft motor shell; the data fusion layer is used for implementing a dynamic weight distribution algorithm and automatically adjusting a fusion weight coefficient of data of each sensor according to the current processing stage; according to the scheme, the technical normal form of cloud dependence can be broken through, and an edge-end multi-sensor fusion architecture with real-time decision-making capability is constructed.

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.