277 results about "Machining toolpath" patented technology

The invention relates to the technical field of numerical control programming, in particular to a five-axis machining path planning method and system based on data driving, and the method comprises the following steps: obtaining real-time coordinates of each axis of a machine tool, calculating linear velocity and angular velocity components to construct a Jacobian matrix, executing singular value decomposition, and calculating a conditional number ratio by using maximum and minimum singular values; and inputting a nonlinear mapping function to calculate a dynamic penalty factor, generating a rotating shaft weighted item in combination with a rotating shaft identifier, constructing a weighted damping least square objective function, calculating a five-axis motion increment, and accumulating the five-axis motion increment with a real-time coordinate to generate a target absolute position coordinate. According to the method, the pose singularity degree is quantified by monitoring the machine tool pose condition number ratio and converted into the dynamic penalty factor to apply the self-adaptive constraint to the rotating shaft, the severe sudden change of the rotating shaft in the singularity area is inhibited, the tool nose track following error is minimized, and meanwhile smooth distribution of the motion increment is achieved; and the dynamic stability and the surface quality of five-axis linkage machining are improved.

The invention relates to a machining path planning system, in particular to the technical field of intelligent manufacturing and numerical control machining, and overcomes the defect that a thermal coupling effect is ignored in traditional geometric planning by constructing an evolution model fused with a physical law. A dynamic decoupling algorithm is utilized to extract a real cutting load from multi-source data and reconstruct a rigidity field changing along with material removal in real time, the problem that a physical boundary is difficult to perceive under a complex working condition is solved, and the system effectively eliminates size out-of-tolerance caused by heat accumulation through transient deformation advanced prediction. According to the method, the non-linear error is actively counteracted in cooperation with a reverse compensation strategy based on sensitivity analysis, the machining precision and surface quality of the thin-wall weak-rigidity part are remarkably improved, the rejection rate and trial cutting cost are reduced, and intelligent closed-loop control over the manufacturing process is achieved.

The invention provides a workpiece machining path compensation method and system based on multi-vision cooperative localization, and relates to the technical field of workpiece machining.The method comprises the steps that a compensation reference coordinate system of a workpiece machining path is established; determining a theoretical machining path of the workpiece according to the CAD model and the process planning of the workpiece, and mapping the theoretical machining path to the compensation reference coordinate system; performing global coarse compensation on the theoretical processing path to generate a global compensation amount and a global compensation path; performing local compensation on the global compensation path according to the local point cloud to obtain a local compensation amount and a local compensation path; according to the cutting parameters of the workpiece, the local compensation path is subjected to flexibility compensation, and the flexibility compensation amount is obtained; under the compensation reference coordinate system, compensation quantity fusion is carried out on the global compensation quantity, the local compensation quantity and the flexibility compensation quantity, and a final compensation path is generated; and executing the final compensation path. According to the method, the execution precision and stability of the machining path and the adaptability to complex machining working conditions are remarkably improved.

The invention belongs to the technical field of gear precision machining, and particularly relates to a high-precision machining method for a complex curved surface gear, which comprises the following steps: acquiring a gear three-dimensional model and planning an initial machining path; tooth profile errors are predicted based on the path, and real-time dynamic compensation is conducted in the machining process; predicting a heat treatment deformation trend based on the compensated motion trail and the real-time data; adjusting heat treatment process parameters according to the predicted deformation trend; and detecting the final state of the gear after heat treatment, and updating the error prediction and compensation model according to a detection result. According to the method, real-time error compensation in the machining process is associated with predictive control of heat treatment deformation to form a closed loop, the problem that in the prior art, machining precision and structural stability after heat treatment are difficult to cooperatively guarantee is solved, and high-precision and high-reliability unified manufacturing of the complex curved surface gear is achieved.

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 discloses an electronic film cutting control method and system based on digital twinning. The method comprises the steps that tool and material interaction data are collected and denoised, time domain and frequency domain characteristics of the tool and material interaction data are extracted, spectral distribution is calculated through Fourier transform, and material characteristic fluctuation mode data are determined; if the threshold value is exceeded, judging that the toughness of the material is changed, obtaining time sequence data, obtaining a material difference feature vector, inputting the material difference feature vector into a support vector machine model for classification, matching a material database, and determining an optimized control parameter set; a deep neural network is adopted to predict the optimized control parameter set, and environment variables are fused to obtain a final dynamic control instruction set; and if the final dynamic control instruction is not matched with the current cutter state, a stable machining path is obtained through closed-loop feedback cycle updating. According to the method, the digital twin of the cutter and the material is constructed, the physical machining process is mapped in real time, the machining precision and adaptability can be remarkably improved, and intelligent response to the material difference is achieved.

The invention relates to a heatable mixer (1) for composite products based on thermoplastic material(s), having an elongate structure defining a longitudinal processing path between at least one inlet and at least one outlet (2′) and comprising a heated trough (3) in which two mutually interpenetrating parallel twin screws (4 and 4′) are mounted, forming member(s) for dimensionally reducing, heating and moving the products to be processed which are inserted at the inlet, each screw (4, 4′) comprising a heated and driven support shaft (5) arranged in the path direction (DT). The mixer (1) is characterised in that it comprises, at the or at each outlet (2′), a member (20) for controlling the liquid or semi-liquid output stream of processed products, flowing through the associated outlet (2′), advantageously under the effect of gravity.

The invention relates to the technical field of CNC machining, and discloses a CNC machining path optimization method for a plastic mold, and the method comprises the steps: dividing a mold high / low / transition curvature region through high-precision point cloud scanning, and generating a region machining strategy table; multiple sensors are deployed on the CNC machine tool, and unified machining state evaluation indexes are generated through data fusion; bayesian optimization is initialized by taking a Gaussian process as an agent model, and an optimal path parameter is selected based on monitoring data; a threshold value is set to automatically trigger electric spark finishing, and equipment collaboration is achieved through OPC UA data transmission; and detecting the comparison standard after processing, if the comparison standard is not reached, adjusting the algorithm weight for re-optimization, and storing parameters in a database to form a closed loop. According to the method, the fine trimming quality can be improved in CNC machining of the plastic mold.

The invention discloses a log node double-robot collaborative processing system and a collaborative processing method thereof. The method comprises the steps that firstly, a log conveyed to a bearing platform is subjected to coarse positioning through a fixed vision unit; then a first vision unit at the tail end of the grabbing robot is driven to conduct multi-view-angle three-dimensional scanning on the log, a high-precision point cloud model is reconstructed and registered with a pre-stored digital model containing process information, and the grabbing pose and the initial machining path are synchronously planned; then the grabbing robot grabs and carries the logs to the cooperative position; secondly, a second vision unit at the tail end of the machining robot conducts secondary scanning on the log in the holding state, the pose deviation is calculated through matching, the initial machining path is compensated in real time, and a self-adaptive path is generated; and finally, the machining robot executes milling according to the compensation path. Full-process automation and self-adaptive high-precision machining from sensing, positioning, grabbing to machining are achieved, and the flexible machining problem of multi-scale logs is effectively solved.

A three-axis deburring machining method comprises the steps that firstly, a user appoints deburring parameters through CAM software; secondly, a deburring machining path is calculated according to the deburring parameters; and 3, path optimization: solving a self-intersection problem to obtain a final processing path. The invention provides a three-axis deburring machining path calculation method. The defects of manual deburring machining are overcome.

A numerical control device includes an NC command decoding unit and a tool information storage / generation unit. The NC command decoding unit has a cut amount decoding unit for decoding the cut amount for rough machining, a machining shape generation unit for generating a finishing shape, a machining pathway generation unit for generating a path for rough machining, a tool direction provisional determining unit for provisionally determining the direction of the tool, a path joining assessment unit for assessing whether or not to omit a round-up operation, a machining path joining unit for generating a new path for directly moving to the end point of the next operation after the round-up operation if the round-up operation is to be omitted, and a tool direction determining unit for determining the direction of the tool at each machining shape change point on a path for rough machining including the new path.

The invention relates to the field of machine tool control, in particular to a gantry machine tool double-drive feeding error compensation method which comprises the steps that instruction acceleration and machining path curvature at a target moment are obtained, and the target moment is any sampling moment; calculating an asymmetric driving induction state index at the target moment based on the instruction acceleration at the target moment and the preset maximum acceleration of the machine tool, and calculating a cross beam torsional strain pre-estimation index based on the asymmetric driving induction state index, the machining path curvature and the obtained gantry cross beam span; and a gain modulation factor is constructed based on the beam torsional strain estimation index, the gain modulation factor is used as a correction factor to correct the calibrated basic coupling gain to obtain a dynamic coupling gain, the adaptive synchronous compensation amount is calculated according to the dynamic coupling gain, and a feed error compensation closed loop is completed. Through the technical scheme of the invention, the precision of an error compensation result can be improved.

The invention is suitable for the technical field of laser processing, and provides a hole structure processing method of a ceramic substrate, a controller, equipment and a ceramic circuit board. The hole structure processing method of the ceramic substrate comprises the following steps: acquiring processing parameters of a hole structure; processing a hole structure with a hole outer contour and a target processing depth at the hole position; wherein the hole structure machining process is multi-time layered machining, and the machining process of a first layer in the multi-time layered machining comprises the steps that first laser is used for conducting laser winding cutting machining along a machining path matched with the outer contour of a hole according to the first machining depth, second laser is used for conducting laser scanning machining along the defined area of the outer contour of the hole according to the second machining depth smaller than the first machining depth; after multi-time layered machining, the accumulated value of the first machining depth is larger than or equal to the target machining depth, and the accumulated value of the second machining depth is larger than or equal to the target machining depth. According to the embodiment of the invention, the pore structure meeting the requirements can be effectively processed on the ceramic material layer.

The invention provides a complex runner impeller pump machining method based on a wax pattern model, which comprises the following steps: calculating geometric width and curvature change values of a runner according to casting deviation estimation data, and if the change values exceed a design tolerance range, correcting boundary conditions of an initial wax pattern model through an iterative optimization algorithm, and determining optimized wax pattern model data; a numerical control machining path is generated after optimized wax pattern model data is obtained, the feeding speed and cooling parameters of a cutter are dynamically adjusted in combination with real-time feedback information of a temperature sensor, and a precision machining instruction sequence is obtained; simulating a virtual casting process from the precision machining instruction sequence, judging whether the geometric consistency of the flow channel meets the fluid efficiency requirement or not, and if not, backtracking to a deformation prediction data stage for recalculation to obtain a final casting parameter set; and an automatic pouring system is driven through the final casting parameter set to execute lost wax casting, real-time dimensional deviation is monitored, the position of a mold is automatically calibrated, and a high-precision complex-runner impeller pump casting is obtained.

The invention discloses an image recognition and precision control system for laser imaging equipment, which relates to the technical field of laser imaging equipment and comprises an edge fracture recognition module, a geometric consistency calculation module, a path fusion reconstruction module, a contour consistency verification module and a parameter self-regulation module. And the path fusion reconstruction module is used for constructing a connection section based on edge tail end trend consistency and curvature similarity results, fitting a fracture path by adopting a Bessel interpolation algorithm with a curvature penalty term, and generating a complete processing contour meeting a continuity requirement. According to the method, the problem that the processing path is discontinuous due to pixel-level edge fracture in the image acquisition stage in laser imaging processing is solved, geometric consistency identification of the non-closed curve edge and automatic fusion of the fracture path are realized, a continuous closed high-precision processing contour is generated, and the image identification robustness and the processing stability are improved.

The embodiment of the invention provides a machining control method and workpiece machining equipment, and relates to the technical field of control. The machining control method comprises the steps that workpiece point cloud data of a to-be-machined workpiece is obtained, and a workpiece theoretical model of the to-be-machined workpiece is converted into a first B-spline curved surface obtained through B-spline curved surface expression; performing registration on the workpiece point cloud data and the first B-spline curved surface to obtain a non-rigid registration parameter; performing curved surface fitting on the workpiece point cloud data based on the non-rigid registration parameter and the first B-spline curved surface to obtain a second B-spline curved surface; and a machining path corresponding to the workpiece theoretical model is adjusted based on the first B-spline curved surface and the second B-spline curved surface. According to the method, the relative positions of the machining path corresponding to the workpiece theoretical model on the B-spline curved surface of the to-be-machined workpiece before and after deformation can be compared, so that the machining path is adjusted.

The invention discloses a three-dimensional point cloud-based aviation blade workpiece processing and positioning method, which comprises the following steps of: respectively acquiring three-dimensional point cloud information of an aviation blade workpiece and a standard workpiece model, and preprocessing the three-dimensional point cloud information; segmenting the preprocessed three-dimensional point cloud information into a blade profile point cloud and a stem end point cloud, and extracting key points of the blade profile point cloud based on boundary features to obtain a point cloud picture; after the point cloud atlas is subjected to coarse registration, fine registration is carried out by adopting a Transform-based dynamic ICP method, and pose data of the aviation blade workpiece are obtained; and on the basis of the pose data, a machining path of a cutter in the aviation blade workpiece machining process is obtained and used for subsequent aviation blade workpiece machining. By dynamically optimizing the nearest neighbor distance threshold value, the normal vector included angle threshold value and the maximum number of iterations, adaptive threshold value adjustment is achieved, global context information between point clouds is fully captured, and therefore the robustness, stability and precision of the registration process are remarkably improved.

The invention discloses a self-adaptive optimization method for a machining path of a numerical control machining center, relates to the technical field of machining paths, and aims to solve the problems of increased machining size deviation and unstable surface quality by setting a no-load current reference by performing no-load operation and collecting no-load current data before executing a cutting path of a cutting tool. The method comprises the following steps: monitoring cutting current data in real time in a cutting process, calculating a current bias coefficient in combination with a no-load current reference, counting cutting operation duration, cooperatively evaluating wear agent characteristics based on the current bias coefficient and the operation duration, performing wear grading, and judging whether to trigger a path correction mechanism or not according to a grading result. During triggering, cutter radius information is obtained and corrected, an offset correction index is calculated based on the corrected cutter radius, and track updating is performed on cutter position coordinates, so that machining errors are compensated, machining precision and stability are improved, and machining fluctuation caused by excessive correction is avoided.

The invention relates to a lattice structure performance homogenization calculation method based on a processing path. The lattice structure performance homogenization calculation method comprises the following steps: constructing a track morphology field based on bounding box size information of lattice cells, processing path information and a processing path process database; carrying out pixel / voxelization on the bounding box of the lattice cells; calculating the area / volume fraction of the unit based on the function value of each node in the trajectory morphology field, and obtaining a finite element grid after screening; the processing path is used as input, so that tedious model format conversion, curved surface subdivision and line cluster intersection operation are avoided; the finite element grids are numbered, and material attributes of units are calculated according to an SIMP mode to construct a finite element grid topological relation; a grid containing an area fraction is used as a homogenization representative volume unit, under the loading condition of considering six unit strain inputs, microscopic strain is substituted into a homogenization integral formula, and a macroscopic equivalent elastic tensor is calculated, so that the convergence speed and precision can be effectively improved.

The invention provides an outer circle machining method of a tantalum target material. The outer circle machining method comprises the steps that a VCGT160404 cutter is adopted for conducting outer circle cutting on a tantalum target material; wherein the machining path of the outer circle cutting is transverse cutting; and in the outer circle cutting process, the VCGT160404 cutter is replaced once after advancing by a preset distance in the advancing direction of the VCGT160404 cutter until the target tantalum target material is obtained. According to the outer circle machining method of the tantalum target material, the VCGT160404 cutter is adopted to conduct outer circle cutting on the tantalum target material, and in the outer circle cutting process, the VCGT160404 cutter is replaced once after advancing by the preset distance every time, so that the worn VCGT160404 cutter can be replaced in time, the problems of machining resistance increase and product deformation caused by cutter wear are avoided, and the machining quality is improved. And outer circle machining can be continuously carried out until the target tantalum target material is obtained.

The invention provides a five-axis rough machining path planning method based on a volume neural field. The five-axis rough machining path planning method comprises the following steps: S10, constructing a body region and outputting the neural field; s20, carrying out layering and path orthogonality and density constraint; s30, performing continuous and periodic smoothing processing on the cutter shaft field; s40, calculating collision safety and a minimum gap constraint; s50, the cutting volume is subjected to stabilizing treatment; s60, calculating total loss and determining a training process; and S70, tool path generation and post-processing are carried out. According to the scheme, the hierarchical field psi, the path field phi and the cutter shaft angle fields (A and C) are learned in the machining volume through the neural network, geometric orthogonality, cutter shaft smoothing / amplitude limiting, collision safety and removal stability are restrained in a unified mode through a micro-loss function, and therefore efficient, smooth and safe automatic rough machining path generation is achieved in complex structures such as a deep cavity and an impeller. The rough machining effect is good.

The application discloses an overflow brick and a processing method of a weir top of the overflow brick, and belongs to the technical field of overflow brick processing and manufacturing. The processing method of the weir top of the overflow brick is characterized in that the overflow brick is vertically clamped, and then independent partition processing is performed on each side weir top, so that the empty walking stroke is reduced, the single-time cutting time is reduced, the tool wear is reduced, and the processing efficiency and the economy of the weir top of the overflow brick are improved. Specifically, the tool cuts from a small end of a side weir top slope, and after completing all processing in the side area through one-side reciprocating tool walking, the tool is withdrawn, and then is moved to the other side to repeat the operation. The processing path is optimized from the root, so that the entire movement track of the tool completely avoids the middle groove area, the invalid empty walking stroke is completely reduced to zero, the processing time is reduced under the premise of ensuring the processing quality, the single-time tool continuous cutting time is reduced, the tool surface wear amount is reduced, and the service life of the tool is prolonged.

The present invention discloses a method for controlling deformation during the machining of large, complex ellipsoidal parts based on dynamic cutting planning: First, the blank is clamped in an initial position, a machining coordinate system is set up, and the non-contact measurement and adjustment of the reference surfaces for the internal and external shapes of the blank are completed. Subsequently, the cutting surfaces are subdivided. Based on the feature decomposition of the product, the theoretical cross-sections are compared with the measured cross-sections in the same coordinate system, and a machining area assessment is performed based on the cutting surfaces to guide the overall machining route planning and the local machining route planning.Based on the machining path planning and the available clearances, a dynamic workpiece adjustment is achieved using an adaptable support system to ensure stable machining under variable cutting depths and to solve the problem of overall deformation in complex ellipsoidal parts. In conjunction with the adaptable support, the system detects deformation of highly reinforced features in areas with large rib heights. Based on the relationship between circular displacement and remaining wall thickness, toolpath compensation is implemented to achieve precise machining compensation for local distortion.The invention solves the major difficulties in the CNC machining of large, complex, thin-walled ellipsoidal parts with regard to accurately ensuring the remaining wall thickness, compensating for local deformations, and controlling the overall deformation, which further improves the reliability of the overall production of such parts.

The invention relates to a method for achieving CAM path processing of a three-dimensional five-axis steel structure. The method comprises the following steps that I-shaped steel part parameters are obtained; according to the I-shaped steel part parameters, identifying or judging whether an R angle exists on the I-shaped steel web, and judging the position relation between the R angle and the over-welding hole; identifying and constructing a complete over-welding hole; the original cut-off lines are separated through the constructed over-welding holes; mirroring is carried out, and all over-welding holes are obtained; and all the cutting paths are sequenced and marked, and a final machining path is generated. By the adoption of the method and device for achieving three-dimensional five-axis steel structure CAM path processing, the processor and the computer readable storage medium of the processor, the over-welding hole path can be generated rapidly and automatically, the stability and safety of the machining process are ensured, optimization processing of a special technology is achieved, the machining precision and efficiency are greatly improved, and the machining cost is reduced. The problem of high cost caused by difficult rotation of large steel is avoided, the operation process is simplified, manual intervention is reduced, and an efficient and reliable automatic solution is provided.

The invention relates to the technical field of intelligent control, in particular to a laser multi-axis flight processing path planning method for adaptive weighted filtering, which comprises the following steps: inputting a three-dimensional curved surface model and a target two-dimensional path, setting constraint thresholds of defocusing amount, a laser incident angle and a galvanometer scanning range, and setting a lower bound of a filtering factor; generating a weight matrix of the midpoint filtering factor and the initialization filtering factor; performing weighted filtering on the target two-dimensional path through an adaptive weighted filtering target function to obtain a smooth two-dimensional path; projecting the smooth two-dimensional path to a three-dimensional curved surface to obtain a platform processing path, calculating constraint parameters and constraint margin, generating segment filtering factor weights and updating a weight matrix; repeating the steps until iteration is finished; judging whether the platform machining path meets the constraint or not, updating the search interval, and repeating the steps to output a final platform machining path; and calculating a galvanometer processing path. According to the method, the path smoothness is improved, so that the average feeding speed and machining efficiency of the motion platform are improved.

The invention discloses a robot grinding track planning method involving a time-varying contact state, and relates to the technical field of robot machining, and the robot grinding track planning method comprises the steps that an initial machining path of a to-be-machined curved surface of an aero-engine is determined, and the to-be-machined curved surface and a grinding tool are utilized to establish a grinding contact coordinate system; determining a target chord height of a curve segment between adjacent initial processing points by using the initial processing path, and performing iterative adjustment on the initial processing points based on a comparison result of the target chord height and a target chord height error threshold; whether the actual overlapping distance between the equivalent grinding circles of the adjusted machining points meets the target overlapping distance or not is judged, and the adjusted machining points are adjusted based on the judgment result; and target machining paths are determined based on the equivalent grinding circle, and grinding operation on the curved surface component is carried out based on a target machining program generated by the grinding contact coordinate system, the target machining paths and the target machining points. And under the condition that the time-varying characteristic of the contact area in the flexible grinding process is not ignored, the grinding precision of the robot is improved.

This invention provides a method and system for planning the attitude of a ball-end milling cutter in a five-DOF hybrid robot, comprising: Step S1: acquiring tool information and surface information of the machining component on the ball-end milling cutter, and establishing a local coordinate system for each tool contact point; Step S2: establishing a global path smoothness performance index and an effective tool diameter performance index for the hybrid robot tool; Step S3: based on the tool information, establishing a constrained optimization model with the weighted sum of the global path smoothness performance index and the effective tool diameter performance index as the optimization objective; generating and simplifying the feasible region of the tool axis direction for each tool contact point according to the constraint conditions; Step S4: optimizing the tool axis direction path according to the constraint model and the feasible region of the tool axis direction for each tool contact point, and outputting the machining path of the five-DOF hybrid robot tool. The method and system provided by this invention can maintain a large effective tool diameter and make the effective tool diameter change smoothly, thereby improving machining efficiency.

This invention discloses a tool axis vector optimization method for wear uniformity, belonging to the field of CNC machine tool technology. The method includes inputting workpiece, tool, and machining path information, and initializing the tool axis vector model; defining and calculating the tool-workpiece meshing area, and determining the cutting edge participation; for the cutting edge segment participating in cutting, using a wear mechanism analysis model, calculating the increment of the lateral wear volume at the current time step and the lateral wear width of the cutting micro-element at the next time step, and superimposing these values ​​to calculate the subsequent tool face wear width; iteratively adjusting the tool axis vector to achieve uniform wear distribution on the cutting edge; collaboratively optimizing cutting parameters to control surface roughness; and outputting a wear-uniformity machining scheme. This invention, by dynamically optimizing the tool axis vector and collaboratively adjusting cutting parameters, achieves active uniformization of tool wear and stable control of surface roughness, thereby significantly extending tool life and ensuring machining quality.

The utility model discloses a six-degree-of-freedom parallel robot driven by a lead screw nut pair, and relates to the technical field of mechanisms and robots. The six-degree-of-freedom parallel robot is characterized by comprising a machine frame, a movable platform and six movement branch chains connected between the machine frame and the movable platform in parallel; each motion branch chain comprises a motor, a guide rail, a lead screw, a nut, a sliding block, a connecting rod and a connecting plate; the motor is fixedly installed on the connecting plate, an output shaft of the motor is connected with the lead screw, the pair of guide rails are arranged on the two sides of the lead screw in parallel respectively, the nut is in threaded connection with the lead screw and is in sliding fit with the two guide rails, and the top end of the connecting rod is fixedly connected to the nut. The motor drives the lead screw and drives the connecting rod to move through the nut so as to change the posture of the movable platform. The movable platform of the parallel robot should have a large rotation range, can adapt to different machining paths and posture requirements, and is more compact in structure and good in structural rigidity.

This invention discloses a production data-driven intelligent scheduling method and system for mechanical equipment, relating to the technical field of equipment scheduling. The method includes: constructing a set of equipment operating characteristics; comprehensively evaluating the current load rate, processing capacity, and failure risk of each piece of mechanical equipment; constructing a scheduling objective function using equipment survivability scores as scheduling decision weight parameters; performing task allocation and processing path optimization calculations to generate an intelligent scheduling scheme for the mechanical equipment; and monitoring the scheduling execution process in real time to adaptively adjust the production scheduling scheme. This invention solves the technical problems in existing technologies where static scheduling cannot adapt to real-time changes in equipment status and lacks a dynamic risk feedback mechanism, leading to equipment overload, unplanned downtime, and cascading production delays during scheduling scheme execution. It achieves the technical effects of improving the production scheduling system's adaptability to dynamic equipment operating conditions, reducing the risk of unplanned downtime, and optimizing equipment utilization and production delivery reliability.