30results about How to "Avoid trial and error" patented technology

The invention relates to the field of security encryption, and discloses a method for preventing an MCU internal program from being copied. Through the encryption scheme, a development company can effectively protect software and hardware research and development results, and a client is prevented from easily obtaining a program code through a grinding disc shoveling plate and the like under the unauthorized condition; the technical scheme adopted by the invention aims to reduce the cost of encryption protection, so that the encryption protection method is suitable for projects with various scales and costs, especially the fields of small household appliances with sensitive cost and the like; by combining various security technical means, such as a PUF circuit and a block chain platform, the invention aims to provide a more comprehensive and efficient security protection scheme to effectively resist illegal copying and tampering behaviors.

The invention relates to a hot compression crack repairing method capable of replacing a hot isostatic pressing process, which comprises the following steps: collecting melting point information of an alloy sample, and determining a target temperature of hot compression; selecting a plurality of groups of different stress / strain parameters at a target temperature to carry out a thermal compression experiment, and carrying out mutual comparison; performing metallographic sample preparation, observing and counting crack pore conditions, and judging whether the cracks are obviously closed or not; if yes, preliminarily determining a thermal compression parameter, and if not, adjusting a stress / strain parameter in a thermal compression process until the crack is obviously closed; tilting the sample for hot compression again, and judging whether the crack is closed or not; if yes, finally determining a hot compression parameter, and if not, continuing to adjust; and performing thermal compression on the alloy part by using the finally determined thermal compression parameters to realize crack repair. Compared with the prior art, the method has the advantages that the obtained stress / strain parameters are ensured to be accurate and effective through adjustment and verification of a thermal compression experiment, so that complete closing of the crack is realized under two thermal compression processes.

The invention discloses a safe working area calculation method, device and system of an MOSFET and a storage medium, and relates to the technical field of semiconductors. The method comprises the following steps: acquiring MOSFET temperature sensitive parameters; obtaining a relation curve between the MOSFET temperature sensitive parameter and the MOSFET junction temperature; acquiring transient thermal impedance of the MOSFET under different duty ratios and different pulse widths; calculating the maximum allowable power loss of the MOSFET under different pulse widths of the single pulse; calculating a safe working area SOA curve coordinate of the MOSFET; and automatically calculating, drawing, storing and outputting a safe working area SOA diagram of the MOSFET on the basis of Qt Widgets. According to the SOA calculation method for the safe working area of the MOSFET, the thermal performance and the electrical performance of the MOSFET are comprehensively considered, the safe working area of the MOSFET is determined through a series of experiments and calculation steps, and the accuracy of a calculation result is improved.

The application discloses a method and system for rapidly predicting a creep stress index of a tin-based solder alloy by integrating a model, collects element compositions, test temperatures and creep stress index values of the tin-based solder alloy from literature, and adds experimental data as dataset samples; the element compositions and test temperatures of the tin-based solder alloy are sorted out and used as features for modeling; the dataset is randomly divided into a training set and a test set in a 4:1 ratio; the collected creep stress index values of the tin-based solder alloy are used as target variables, and the features are used as independent variables; based on the divided training set, the independent variables are scaled by using RobustScaler, three learners are trained and integrated to obtain an R-X-L integrated model; and the R-X-L integrated model is used to rapidly predict the creep stress index of the test set samples and four independent experimental samples. The prediction model for the creep stress index of the tin-based solder alloy is simple, fast, low-cost, pollution-free and the like based on reliable literature data and a modeling method.

The invention discloses a vehicle fault processing method and device, electronic equipment and a computer program product. The method comprises the steps of obtaining running state data of a vehicle; performing fault detection according to the running state data to obtain vehicle fault data; generating a fault tree according to the vehicle fault data, and analyzing fault precauses of the vehicle according to the fault tree to obtain a fault precause analysis result; and determining a fault processing scheme of the vehicle according to the vehicle fault data and the pre-fault cause analysis result, and processing the fault of the vehicle by using the fault processing scheme. According to the method, fault detection analysis is carried out on the real-time running state data of the vehicle, the fault tree is constructed in real time, the accuracy and adaptability of fault diagnosis are improved, fault precauses are traced based on the fault tree constructed in real time, and the trial and error process in a traditional method is avoided. According to the current running state and the fault condition of the vehicle, the fault processing scheme is dynamically adjusted in real time, and the flexibility and the processing efficiency of vehicle fault processing are improved.

This invention proposes a dynamic routing decision-making method, specifically a TSSDN dynamic routing decision-making method based on the DDPG deep reinforcement learning algorithm. The aim is to design dynamic routing decisions using deep reinforcement learning algorithms based on network dynamic awareness prediction results, thereby reducing the transmission latency of low-priority flows in time-sensitive networks. This invention uses a deep learning algorithm to predict switch queue lengths in real time, and then makes next-hop routing decisions based on the prediction results. Higher prediction accuracy leads to better dynamic routing performance and improved decision-making efficiency. The implementation steps are: 1) Constructing the TSSDN network node architecture; 2) Constructing the network topology; 3) Constructing a topology feature extraction method based on PCA; 4) Constructing a prediction model based on a deep learning algorithm; 5) Constructing a routing decision-making model based on a deep reinforcement learning algorithm; 6) Iteratively training the deep reinforcement learning-based routing decision-making model based on the prediction results. This invention can be applied to scenarios such as telemedicine.

The invention discloses a video transcoding parameter determination method and device, computer equipment and a medium, and the method comprises the steps: obtaining the playing information of a plurality of videos played by a platform in a preset time period, and the playing information of each video comprises the ID of the video and the trend feature of the video; according to the ID of each video and the trend characteristic of each video, calculating a target threshold value of video transcoding under the condition of meeting a preset video playing coverage rate; and determining the number of videos needing to be transcoded under the preset video playing coverage rate according to the target threshold value. According to the method, the number of the videos to be transcoded under the preset video playing coverage rate is automatically solved, the threshold value is prevented from being gradually adjusted and tested from high to low, the experiment process is accelerated, and the video transcoding efficiency is maximized under the condition that it is guaranteed that transcoding resource consumption is small.

The application discloses a retinal light damage box experimental device for observing mouse visual dynamic response, which comprises a reflecting box body, a box cover hinged to one side of the top end of the reflecting box body, the box cover being matched with the reflecting box body, a light irradiation assembly fixedly connected to one side of the box cover close to the inside of the reflecting box body, the inner wall of the reflecting box body being used for reflecting the light emitted by the light irradiation assembly, the light irradiation assembly being electrically connected with a control system, a frequency adjusting assembly fixedly connected to the middle of the bottom end of the reflecting box body, the frequency adjusting assembly being covered on a placing table, the frequency adjusting assembly being correspondingly arranged on the inner wall of the reflecting box body, and a placing assembly fixedly connected to the middle of the top end of the placing table, the experimental mouse being placed in the placing assembly, the light irradiation assembly and the frequency adjusting assembly being correspondingly arranged on the placing assembly. The application realizes dynamic observation of the light damage condition of the experimental animal, avoids repeated experiments, shortens the experimental period and improves the experimental efficiency.

This invention relates to the field of computer-aided design technology, specifically a digital design system for rib jacquard fabric textures. The system includes a jacquard pattern structure conversion module, used to acquire the coordinate parameters of coil nodes and the connection direction parameters of adjacent coil nodes within the design pattern, establish a jacquard directed graph, extract the surface identification parameters of coil nodes, assign cross-layer weight values ​​to directed edge parameters based on the difference in surface identification parameters, and fuse the cross-layer weight values ​​with the jacquard directed graph to generate a weighted graph dataset. In this invention, by comparing risk values ​​with separation threshold parameters, a node reconstruction distribution set is automatically established within abnormal grid areas, replacing the original connection direction attributes to generate a digital jacquard pattern set, thus completing a closed-loop, intelligent repair of design defects. This allows fabric structural defects to be detected and eliminated during the design phase, avoiding repeated trial and error in the physical sampling process and improving design efficiency and first-time success rate.

The invention belongs to the field of cell culture automation and intelligent regulation and control, and discloses an optogenetics-based adherent cell culture optimization method and system. The method comprises the following steps: inputting an adherent cell type and a culture target, and calling an adherent cell-optical genetic parameter joint database; performing targeted pretreatment on the target adherent cells; processing through a multi-parameter optimization algorithm hardware platform to generate an executable customized photostimulation scheme; performing accurate light stimulation on the positive adherent cells; comparing the obtained detection data with normal adherent cell parameters in a joint database, and evaluating the influence of a photostimulation scheme on the cells; updating the parameters of the multi-parameter optimization algorithm and the prediction model; and inputting the adherent cell type and the culture target to the updated prediction model, and outputting an optimal light stimulation scheme. The core problems of low photostimulation accuracy and poor targeting in the prior art are solved, and high-activity and high-consistency light-sensitive adherent cells are stably produced.

The invention discloses an automatic driving vehicle control method suitable for an underground parking lot, relates to the technical field of automatic driving, and aims to simultaneously meet the requirements of a lane driving scene with a small posture change amplitude and a parking scene in which the posture needs to be greatly adjusted in a narrow space. The obstacle avoidance control method and the vehicle parking control method both comprise a vehicle speed control system. The obstacle avoidance control method comprises the following steps that A1, an underground parking mode is started; a2, a roof high-position camera is lifted, a whole vehicle radar is started, and the vehicle speed is reduced to 5 KM / H; a3, the camera scans the surrounding environment, and the radar scans obstacles and moving objects; a4, scanning a heat source, scanning a human face and scanning the shape of an obstacle; a5, the moving speed of the moving object is scanned, and the volumes of the moving object and the obstacle are scanned; and A6, the moving obstacles and the non-moving obstacles are avoided.

The application provides a network node state data trusted algorithm determination method and system, the method comprises the following steps: the security state agent of each network node obtains the available security algorithm information of the local XFRM framework through a Netlink interface, and generates local state data with a unique node identifier and a version number; the state data is synchronized with neighbor nodes by using a Gossip protocol, version number, integrity and multi-source consistency verification are performed on the received data, and the algorithms corresponding to the same state data from at least two non-direct neighbor nodes are marked as cluster trusted algorithms; and a trusted algorithm list is generated for the local IPsec process to query for security association negotiation. The application realizes dynamic discovery and trusted synchronization of cluster security algorithms, adapts to edge nodes and multi-region cluster scenarios, guarantees synchronization reliability and security, and does not affect the running performance of the cluster.

The invention discloses a preparation method of a tunnel lining degradation similar material based on performance inversion, the tunnel lining degradation similar material and application, and the preparation method comprises the following steps: firstly, carrying out a four-factor four-level orthogonal test based on cement, river sand, gypsum and water to obtain test block mechanical property data; establishing a tunnel lining reduced scale performance calculation model by using a multi-target-ideal point method; simulating performance degradation of the lining after N years of operation by combining a concrete incremental damage theory; and finally, inversely calculating the mix proportion of the degraded similar material through a multi-target-ideal point method. According to the preparation method, the whole-course simulation of the tunnel lining from a prototype state to a degradation state is realized, namely a reliable experimental material can be provided for tunnel maintenance. The tunnel lining degradation similar material can be accurately matched with the real degradation state of a tunnel in a specific service period; when the tunnel lining degradation similar material is used for a model test, the residual life of an existing tunnel can be more truly predicted, and the effectiveness of reinforcement measures is evaluated.

This invention belongs to the field of industrial internet security technology, specifically relating to an industrial internet vulnerability verification method that addresses the problems of low efficiency, insufficient accuracy, poor engineering feasibility, and inconvenient remediation in existing vulnerability verification technologies. This invention first constructs a protocol template library and parses the original network packets to obtain field sequences; it calculates the distribution entropy, historical mutation response rate, and type identifier as scenario feature vectors; it retrieves similar historical scenarios and dynamically selects strategies based on mutation strategy statistics and experience scores; it generates test cases from mutation seed packets, sends them to the target device for verification, and obtains responses; it updates strategy statistics and the experience replay pool; in case of anomalies, it actively intervenes in experiments to determine causal effects, generating verification records, reproduction packages, and guidelines for manual confirmation. This invention achieves accurate and efficient vulnerability verification, improves the interpretability and reproducibility of results, reduces engineering deployment costs, and facilitates vulnerability analysis and remediation.

This invention relates to the field of space optical payload integrated simulation technology, specifically providing a gravity unloading optimization method based on a sensitivity matrix. The method includes: pre-setting corrected surface shape error indices and engineering constraints on unloading forces; constructing a mechanical sensitivity matrix for the mirror surface through finite element analysis; obtaining the change in mirror surface shape caused by applying a unit force at each gravity unloading point; establishing an objective function aimed at minimizing the corrected surface shape error; solving for the optimal unloading force at each gravity unloading point; calculating the corrected surface shape error based on the optimal unloading force and the mechanical sensitivity matrix at each gravity unloading point; and verifying whether the corrected surface shape error meets the surface shape error indices. This invention avoids the traditional method of repeated trial and error and iterative simulation, greatly improving the efficiency of optimization simulation.

The application discloses a kind of sound barrier backboard pressure rib parameter optimization design method, it is related to engineering structure design and optimization technical field, and design method includes the following steps: establishing the finite element model of sound barrier, applies design wind pressure load, with predetermined initial pressure rib parameter as benchmark, deflection is solved;In the case where remaining parameters remain unchanged, respectively, change the depth, width, quantity and length of backboard pressure rib alone and carry out single-factor parameterization simulation, obtain the deflection variation corresponding to each parameter under different value;According to the size of deflection variation, determine the influence weight order of each parameter on the wind pressure resistance performance of screen body;With the parameter of maximum influence weight as priority maximization object, determine the maximum feasible value of this parameter within the range allowed by manufacturing process, and form optimal pressure rib parameter combination in combination with the maximum value of the remaining parameters.It is realized that the wind pressure resistance performance of screen body is maximized by systematic parameterization simulation and influence weight ordering.

The utility model provides an anti-leakage Soxhlet fat extraction device, which solves the problems that the conventional Soxhlet fat extraction device is easy to leak and a solvent is not recovered in time when being used for extracting fat. Comprising a condenser pipe, an extractor and an extraction bottle which are sequentially connected from top to bottom, and a siphon and a gas guide pipe are arranged on two sides of the extractor; the siphon comprises a low-position pipe and a high-position pipe which are in threaded connection, a first filter screen is arranged on the low-position pipe, threaded sections are arranged on the inner wall of the low-position pipe and the surface of the high-position pipe, and a second filter screen is arranged at a liquid outlet of the high-position pipe; and a piston assembly is arranged on the siphon. The Soxhlet extraction device is widely applied to the technical field of Soxhlet extraction devices.

The invention relates to the field of flow cytometry and fluorescence measurement, in particular to a SiPM linear compensation method on flow cytometry, which comprises the following steps: acquiring theoretical fluorescence intensity corresponding to each peak of a standard rainbow microsphere; in an uncompensated state, measuring a standard rainbow microsphere, and recording the gain of an amplifying circuit on the current equipment and the actual fluorescence intensity corresponding to each peak of the rainbow microsphere; fitting a compensation curve by using a segmented fitting mode; in a compensation starting state, acquiring a current actual fluorescence value through ADC (Analog to Digital Converter) acquisition; converting the current fluorescence value into a fluorescence value under a curve gain condition; a compensation curve is substituted for compensation; converting the output result into the fluorescence value under the current gain condition again; and outputting a final result to finish compensation calculation. The method is more suitable for actual production, guarantees that segmented curve fitting is successful to a certain extent, is very important in actual production, can reduce the technical requirements for operators, and also avoids repeated attempts after fitting fails.

The application discloses an intelligent method for structural model parameter identification and adjustment, comprising: grouping and calibrating target components in a structural model; using a structural domain knowledge base storing standard structural topology, component mechanical parameter benchmark values and design specification limit values to perform feature extraction and matching identification on each component group, and outputting parameter initial value suggestions; visualizing the matching results for designers to audit and confirm; receiving manual adjustment instructions, wherein spatial structure node coordinates are driven by macro-geometric control parameters to update in batches; automatically generating complete updated model files based on the adjusted parameters and re-associating various model information; constructing a three-dimensional visual display interface to realize high-light linkage display of parameters and components and comparison before and after adjustment. The application solves the problems of low structural design parameter adjustment efficiency, difficulty in batch adjustment of spatial structure node coordinates and poor generality of parameterized programs, and significantly improves design efficiency.

The application discloses a kind of servo connecting rod high-frequency swing mechanisms, belong to bearing processing equipment technical field, the mechanism includes: the same side of adjusting member and swing head being arranged on support outside;Transmission shaft, is driven by motor, and one end is connected with adjusting member;Swing shaft, one end is connected with swing head;Connecting rod, both ends are respectively eccentric to transmission shaft and swing shaft, and are respectively rotationally connected adjusting member and swing head;Wherein, adjusting member is used to adjust the eccentric distance of connecting rod relative to transmission shaft along radial direction.The application cancels the belt link by direct drive transmission, servo motor coupling directly drives transmission shaft, reduces power loss, and improves swing frequency and stability.

This invention discloses a steel-shell composite girder structure and its optimized design method for filling ultra-high performance concrete (UHPC) within a steel shell. It relates to the field of steel-concrete composite structure technology. The key technical points are: the invention welds and fixes the lower steel plate of the bridge deck's steel shell to the upper chord and upper crossbeam of the truss, creating a continuous connection between the upper chord and the lower steel plate, forming an integrally closed frame structure with the side plates of the steel shell. During UHPC pouring, the continuity between the upper chord and the lower steel plate avoids the problem of phased pouring. This frame structure also serves as a permanent formwork for the UHPC pouring and a part of the structural load-bearing capacity, thereby enhancing the integrity between the bridge deck and the truss. By arranging perforated I-beams, shear bolts, and transverse reinforcement details between the bridge deck's steel shell, a good combination of UHPC and steel shell is achieved, forming an integrated steel-shell-UHPC composite bridge deck system, improving the bridge deck's stiffness and load-bearing capacity.

This invention provides a method and system for autonomous iteration and real-time control of forging process based on machine vision for extracting time-frequency map features. The method transforms the thermal and deformation history data during forging into a time-frequency map through time-frequency transformation, and establishes a mapping relationship between the time-frequency map and the microstructure using a convolutional neural network (CNN). Then, a generative model is used to construct a bidirectional mapping model between process parameters and the time-frequency map. Based on this, combined with a model predictive control (MPC) framework, the process parameters are optimized in real time with microstructure targets as constraints. After the process is completed, the model parameters are iteratively updated autonomously, thereby achieving iterative optimization of the microstructure quality of the forging. This invention can effectively extract deep features of the thermal deformation history, establish a reliable mapping relationship between "process parameters - thermal deformation history - microstructure," and achieve online optimization of process parameters during forging, providing an intelligent production process optimization solution for the high-end equipment manufacturing field.

The application discloses a kind of metal welded pipe spraying intelligent adaptation process methods, belong to metal surface treatment technical field, by welded pipe information acquisition and preprocessing, spraying process parameter intelligent matching, virtual simulation verification optimization, closed-loop intelligent spraying execution, coating on-line detection and model feedback update five core steps, realize the self-adaptive matching of different properties metal welded pipe spraying process and whole-process closed-loop management and control.The present application can effectively solve the problem of poor adaptability of existing process parameters, coating quality stability is insufficient, the problem of whole-process management and control is missing, significantly improve the coating uniformity and finished product pass rate of welded pipe spraying, reduce the cost of production rework, through on-line full-dimensional detection and process feedback correction after coating forming, coating defects can be quickly identified and the process parameters of subsequent production are adjusted, to avoid the repeated occurrence of similar defects, greatly improve the finished product pass rate of welded pipe spraying, significantly reduce the cost of subsequent rework and raw material loss.

The invention discloses a method for selecting the arrangement position of the hinge axis of a sun visor and an automobile, and relates to the technical field of automobiles, the method for selecting the arrangement position of the hinge axis of the sun visor comprises the steps that according to the man-machine view field requirement, man-machine head arrangement data are obtained, the man-machine head arrangement data comprises man-machine upper eye spots, man-machine lower eye spots and a head enveloping surface; a man-machine eye sight line extending in the second direction is established according to the man-machine eye points, a man-machine lower eye sight line extending in the second direction is established according to the man-machine lower eye points, and a boundary curve extending in the third direction is established according to the head envelope surface; and obtaining an intersection area of the man-machine upper eye sight line, the man-machine lower eye sight line and the boundary curve, wherein the intersection area is a first arrangement area of the hinge axis of the sun shield. By means of the arrangement, the feasible area of arrangement of the axis of the sunshade hinge can be quickly checked, repeated attempts and repeated adjustment of the axis of the sunshade hinge are avoided, efficiency is improved, and the period is shortened.

The invention discloses pneumatically-driven endoscope foreign matter scissors which comprise a cylindrical shell, a bottom plate, a guide plate, an air cylinder and scissors. The bottom plate is fixed in the cylindrical shell in the axial direction, the guide plate is fixedly assembled above the bottom plate through a spacing column, and guide grooves used for controlling the scissors to be opened and closed are symmetrically formed in the guide plate; a straight sliding groove is formed in the bottom plate in the axial direction, a lower sliding block is assembled in the straight sliding groove in a sliding mode, an upper sliding block is assembled on the lower sliding block, and the scissors are assembled between the upper sliding block and the lower sliding block. Guide columns are mounted on scissor handles on two sides of the scissors and are positioned in the corresponding guide grooves; a vertical plate is fixed to the tail end of the bottom plate, the end of a cylinder body of the air cylinder is fixed in a mounting hole of the vertical plate, and the end of a piston rod of the air cylinder is fixedly connected with the upper sliding block. According to the endoscope foreign matter scissors, the accuracy and safety of endoscope operation are improved, the application range of the endoscope foreign matter scissors in shearing operation under various endoscopes is expanded, and the endoscope foreign matter scissors have wide clinical application value.

This invention relates to the field of fluid control valve technology, specifically to a method and system for predicting the dynamic stability of a pilot-operated pressure reducing valve. The invention establishes a force balance equation containing p-Laplace terms and derives the stability criterion S for the pressure reducing valve to determine whether the valve system is stable. This allows for the assessment of whether parameter combinations will lead to oscillations during the design phase, avoiding trial and error and enabling the prediction of the pressure reducing valve's stability. The criterion is simple in form, can be calculated using a calculator or Excel, does not rely on complex simulations, and is highly concise. Furthermore, its p-value is adjustable, making it applicable to different media and operating conditions, thus offering wide applicability. This system can be embedded in an intelligent valve controller to achieve real-time stability warnings.

The present invention discloses an interpretable method and system for rapidly predicting the ultimate tensile strength of tin-based solder by using SHAP to package LightGBM. The method collects experimental values ​​from literature as data set samples; sorts out the elemental composition of tin-based solder alloys, and calculates the features of samples used for modeling; randomly divides the training set and the test set; based on the training set, uses outlier scaling data for independent variables to establish a preliminary prediction model for the ultimate tensile strength of tin-based solder alloys; according to the established prediction model for the ultimate tensile strength of tin-based solder alloys, uses SHAP to calculate the SHAPvalue of each feature and packages LightGBM for feature screening to select the optimal feature subset; according to the established interpretable prediction model for the ultimate tensile strength of tin-based solder alloys, rapidly predicts the ultimate tensile strength of tin-based solder alloys in independent test sets. The present invention is based on reliable literature data and modeling methods, and the prediction model for the ultimate tensile strength of tin-based solder alloys established by the present invention has the advantages of being simple, fast, low-cost, pollution-free, and interpretable.

This invention discloses a deformable blade design method based on solving the electromechanical coupling matrix equations, belonging to the field of engine blade design technology. Starting from a fully tessellated MFC (Mechanical-Fuel-Coupling) scheme, the method uses the finite element method to discretize and derive the key matrices of the electromechanical coupling system, establishing quasi-static electromechanical coupling control equations. Ill-conditioned problems in the equation set are addressed through voltage degree-of-freedom scaling preprocessing, and the driving voltage distribution is solved in conjunction with target deformation constraints. The birth and death element method is introduced to quantify the contribution of MFC elements at different locations to deformation, gradually eliminating inefficient elements and generating an optimized arrangement and driving scheme. For complex three-dimensional blades, static condensation and implicit iteration of inner and outer layers are used to reduce the computational scale, and the MFC polarization and driving direction setting problems are solved through the element coordinate system method. This invention eliminates the need for repeated iterative trial and error, significantly improving the efficiency of deformable design and achieving high deformation accuracy, providing a systematic design method for the engineering application of controllable deformable blades.

This invention relates to the field of production line lifecycle management technology, specifically to an intelligent operation system and method for a glass production line based on a digital twin. The system includes a digital process package generation module, a digital twin construction module, and a monitoring and verification module. This application uses the obtained glass performance indicators as constraints for multiphysics simulation and optimization to obtain a digital process package for the glass production line. This provides a standardized and directly executable process basis for subsequent production line operation, improving the consistency and reproducibility of process solutions in actual production. Furthermore, by combining the acquired BIM model and collected raw multi-source sensor data with the digital process package, a digital twin is constructed, achieving a high-precision bidirectional mapping between the physical production line and the digital twin. Finally, the status monitoring and verification of the production line operation are performed based on the digital twin, achieving more accurate and efficient glass production line management and solving the problems of low accuracy and real-time performance in existing glass production line management technologies.