11249 results about "Processing accuracy" patented technology

The invention discloses a transformer area intelligent fusion terminal data processing system based on edge calculation, relates to the field of edge intelligence, and solves the problems of poor real-time performance and poor data exception processing accuracy of an existing intelligent fusion terminal data processing system. According to the method, communication between micro-services is efficiently managed through the container arrangement engine and the service grid, the message transmission delay is reduced, and resource allocation is further optimized through a resource scheduling algorithm based on reinforcement learning, so that system resources are used most reasonably; according to the method, anomaly detection is rapidly and accurately carried out through a space-time heterogeneous fusion network model, hierarchical processing of data and on-cloud training of the model are realized through a cloud-edge collaborative architecture, edge nodes participate in model training through a federated learning mechanism, the model performance is optimized, the transmission time of the data in the network is shortened, and the problem positioning speed is increased; the real-time performance and the reliability of an existing system are greatly improved.

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 numerical control machine tool operation control system and a double-station sawing and drilling integrated machine tool, and relates to the technical field of numerical control machine tool operation. A multi-axis linkage state, a gas cylinder stress state, vibration frequency, cutting force and deformation data are acquired in real time through a data acquisition module; the dynamic modeling module constructs a digital twinborn model by using finite element analysis and real-time sensing data, and accurately simulates stress dynamic change and deformation trend; the intelligent error compensation module dynamically evaluates the multi-axis linkage precision by analyzing the machining data, generates an error compensation instruction and optimizes the operation parameters of the machine tool; the closed-loop feedback control module adjusts the cutting speed, the feeding depth and the clamping force in real time through a fuzzy logic algorithm, a closed-loop adjusting mechanism is formed, the machining precision and stability are greatly improved, the machining error and the workpiece surface damage risk are reduced, and the machining quality and efficiency of complex workpieces are effectively improved.

The invention relates to the technical field of numerical control machine tools, and discloses a self-adaptive error compensation method and system for a high-precision numerical control machine tool, and the method comprises the steps: carrying out the mathematical modeling of a multi-dimensional error of a five-axis numerical control machine tool, and obtaining a thermal deformation displacement vector, a friction force vector and a path deviation vector; inputting into a multi-dimensional expansion state observer for error observation to obtain thermal deformation, a friction force value and a path error value; performing trust domain parameter optimization to obtain a thermal deformation compensation gain matrix, a friction force pre-compensation coefficient matrix and a path error compensation coefficient matrix; performing three-stage series compensation calculation to obtain a compensation position instruction, a compensation speed instruction and a compensation acceleration instruction; and track reconstruction operation is carried out to generate a position instruction sequence, a speed instruction sequence and an acceleration instruction sequence of each axis, so that self-adaptive error compensation of the high-precision numerical control machine tool is realized, and the machining precision of the high-precision numerical control machine tool is improved.

The invention discloses a complex curved surface geometric self-adaptive machining error compensation and optimization method, and belongs to the technical field of numerical control machining and intelligent manufacturing, and the method comprises the steps: dividing a composite curved surface into a plurality of regions according to an equal-area mode, and collecting the precision data of each region after machining in real time during curved surface machining; based on the precision data after the region processing is completed; machining parameters are automatically adjusted according to an error result, error compensation is achieved, a compensation coefficient in the error compensation process is obtained, and the error compensation capacity is judged; processing parameters are globally optimized by utilizing an optimization algorithm according to specific requirements of a processing task, so that double improvement of processing efficiency and processing quality is realized; according to the method, the curved surface machining process is monitored in real time, error judgment is carried out, the machining parameters are automatically adjusted according to the error result, effective control over the machining errors is achieved, the machining parameters are globally optimized through the optimization algorithm, and the machining precision, efficiency and stability of complex curved surface parts are improved.

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 a curved surface processing path generation method and system for an ultra-precise diamond lathe, and the method mainly comprises the steps: obtaining the three-dimensional point cloud data of a to-be-processed curved surface through a three-dimensional scanning device, carrying out the global curvature calculation, and dividing the curved surface into a plurality of sub-regions to generate an initial processing path; and then, the initial path is optimized, interference and errors are reduced, and finally a target machining path subjected to comprehensive verification is obtained. The path is guided into a lathe to execute machining, and high-precision curved surface machining is achieved. By means of the method, the machining precision and the surface quality are improved, and it is ensured that higher smoothness and shape precision are achieved in ultra-precision machining.

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 relates to the technical field of motion control, in particular to a CNC machine tool motion control system which comprises a cutting force feedback monitoring module, a multi-axis load coordination module, a spindle vibration suppression module and a dynamic path optimization module. According to the method, the cutting force fluctuation of each axle can be accurately mastered by monitoring the axle cutting force in real time and analyzing the load change, the load and the feeding speed of the axle are adjusted according to real-time feedback, machining errors caused by uneven loads are reduced, and the vibration amplitude and frequency can be calculated and the rotating speed of the main shaft can be adjusted by monitoring the vibration data of the main shaft in real time. The resonance phenomenon is effectively restrained, the machining stability is improved, meanwhile, dynamic path optimization is conducted, the dynamic response problem caused by improper path setting is avoided by evaluating the dynamic response of a machine tool and adjusting the machining path, the cutting direction and the feeding speed in real time, the machining precision and stability are remarkably improved, and the machining efficiency is improved. And the complex machining environment adaptability of the machine tool is improved.

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 relates to the technical field of image processing, and discloses a production management method and device for a flat curved surface product. The method comprises the following steps: carrying out feature extraction processing on the surface morphology of a flat curved surface product material to obtain a curved surface feature topological graph; performing non-uniform curvature partition processing on the curved surface feature topological graph to obtain a flat curved surface product processing area division scheme, and performing variable curvature compensation path planning processing to obtain a self-adaptive processing track sequence; performing real-time curved surface error detection processing on the self-adaptive processing track sequence to obtain local morphology deviation data; performing curved surface incremental forming compensation processing on the local morphology deviation data to obtain dynamic correction parameters; and performing curved surface quality feature correlation tracing processing on the dynamic correction parameters to obtain a full-cycle quality evaluation report of the flat curved surface product. Real-time error detection, dynamic compensation and quality tracing in the machining process of the flat-curved-surface product are achieved, and therefore the machining precision and quality stability of the flat-curved-surface product are improved.

The invention relates to the technical field of machining precision control, and discloses an injection mold core machining precision control method and system.The method comprises the steps that a multi-point trigger type sensor is adopted for conducting data collection on the surface of a core of an injection mold, and core surface contour data, geometric dimension data and surface roughness data are obtained; inputting a feature extraction model, extracting fusion features of the surface of the mold core, and performing regional processing on the surface of the mold core to obtain regional polishing parameters; normalized error coefficient calculation is carried out, and a core surface quality distribution diagram is generated; calculating the compensation coefficient of each region to obtain a compensation optimization parameter matrix; and multi-axis linkage path planning is conducted, the surface of the mold core is divided into a plurality of grid units, the curvature value and the polishing track compensation value of each grid unit are calculated, a thermal deformation compensation polishing path is generated, and the automation level and the intelligent degree of mold core machining 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 an electrode program design method and device, electronic equipment and a storage medium, and relates to the mechanical manufacturing technology, the method comprises the steps that a target model file is loaded, parameter information of a target workpiece is determined from the target model file, and the parameter information at least comprises a shape parameter, a structure parameter, a size parameter and a technological parameter; the number of machining electrodes is determined, and the target workpiece is divided into at least one machining area according to the number of the electrodes; for any machining electrode, the electrode shape is determined according to the shape parameters and the structure parameters corresponding to the machining area, and an electrode subprogram is determined according to the size parameters and the process parameters corresponding to the machining area; and an electrode machining file is generated according to the electrode subprogram corresponding to each machining electrode, so that the machining machine tool controls the machining electrodes set to be in the corresponding electrode shapes through the electrode machining file, the target workpiece is obtained after operation of the machining machine tool is finished, and the beneficial effect of improving the workpiece machining precision is achieved.

The invention discloses a tool wear monitoring and repairing method based on artificial intelligence. The method comprises the following steps that a terminal layer collects original machining data and uploads the original machining data to a cloud computing layer; the cloud computing layer trains a power increment diagnosis model; the terminal layer collects processing data in the processing process in real time as monitoring data; the cloud computing layer selects a deep learning algorithm or a transfer learning algorithm to train a final processing precision fault diagnosis model; constructing an edge calculation distribution optimization algorithm and performing task scheduling; and based on the machining precision fault diagnosis result, a laser surface strengthening path is constructed, and the abraded tool is repaired through laser surface strengthening treatment. The numerical control machining process can be diagnosed in real time based on the transfer learning mechanism, the laser surface strengthening path is planned based on the diagnosis result, the laser surface strengthening operation is guided in real time, the abnormal state of the tool is repaired in time through the laser surface strengthening technology, and the machining precision is ensured.

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 machine tool machining, in particular to a dynamic compensation method for machining precision of a turn-milling composite machine tool, which is characterized in that deep learning is performed on time series data by using an error prediction LSTM model, and a system can identify hidden modes and laws in a machining process and is suitable for processing complex data with time series. The relevance among temperature, vibration and displacement can be effectively analyzed and converted into accurate error prediction; and the cutting parameters are dynamically adjusted through the error prediction numerical value, so that the effect of dynamically compensating the machining precision is achieved.

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.