1018 results about "Digital mockup" patented technology

The invention relates to the technical field of intelligent early warning of digital twinning, and particularly discloses a slope multi-physics field fusion early warning decision-making system based on digital twinning, which is characterized in that physical monitoring data representing the macroscopic state of a slope and microscopic physical response signals reflecting internal damage evolution are synchronously acquired through a multi-modal data sensing module; space-time alignment, standardization and cross-modal fusion analysis are carried out through a damage eigenstate extraction module, and a unique eigendamage variable for quantitatively representing the real-time degradation degree of the material strength is interpreted; the twinborn self-evolution module takes the variable as a core observed quantity, and drives parameters and states of a slope mechanical model to be cooperatively and dynamically updated by adopting a data assimilation method, so that high-fidelity tracking of a digital model on physical reality is realized; and the prospective early warning decision module deduces a future spatio-temporal evolution path of the material strength parameters based on the calibrated model, and realizes graded early warning and intelligent decision support by combining Monte Carlo simulation and quantification of the instability risk probability.

The invention provides a high-precision intelligent welding system adapting to complex working conditions, and relates to the technical field of laser welding. The high-precision intelligent welding system adapting to the complex working conditions comprises the steps of S1, based on a high-resolution visual sensor and a laser scanner, S2, based on preprocessed point cloud data, S3, based on a workpiece three-dimensional model, S4, based on an optimized welding path and a material attribute database, S5, based on a dynamic welding parameter set, S6, based on a real-time welding track, and S7, based on multi-sensor monitoring data. S8, based on a defect detection report; and S9, based on a repaired welding result and historical welding data. According to the invention, the geometric data of the workpiece are collected through the high-resolution visual sensor and the laser scanner, the filtering algorithm is applied to remove noise to generate high-quality point cloud data, and a subsequent processing foundation is laid; workpiece features are identified by using a point cloud processing algorithm and a machine learning method based on the point cloud data, and an accurate digital model is generated through a three-dimensional reconstruction algorithm.

The invention relates to the technical field of BMS and the like, and provides a battery management system based on adaptive digital twinning, a physical layer of the battery management system comprises a battery pack, a sensor network and an edge computing node, and is responsible for data acquisition and preprocessing; the digital twin layer comprises a self-adaptive multi-scale model and a real-time data engine, battery behaviors are dynamically simulated by coupling electrochemical, thermal and aging models, a future state trajectory prediction result is output, and the real-time data engine fuses sensor data, historical data and simulation data to drive model updating; the intelligent decision-making layer comprises a reinforcement learning controller and a fault prediction module which are deployed in a local server, the reinforcement learning controller dynamically optimizes a charging and discharging strategy according to a prediction result of the digital twinborn layer and issues and executes the charging and discharging strategy, and the fault prediction module analyzes multi-source time sequence data based on an LSTM network so as to early warn thermal runaway and short circuit risks in advance. According to the invention, long-term accurate mapping and adaptive adjustment between the battery physical entity and the digital model can be realized.

The invention relates to the technical field of intelligent decision making, in particular to a digital twin command and decision feedback system for war game deduction based on multi-agent game confrontation. Comprising a digital twin modeling unit; a multi-agent game confrontation unit; a command instruction generation unit; a decision feedback evaluation unit; and a data interaction unit. According to the design of the invention, the precision of the model is adaptively adjusted through the digital twinborn modeling unit according to the criticality of the deduction scene, and the digital twinborn model can adapt to different criticality deduction requirements of a strategic layer, a tactical layer, a key confrontation scene and the like in combination with multi-scale division and cross-scale parameter coupling transmission; realizing cross-level dynamic association between the physical entity and the digital model; a real-time perception-decision closed-loop mechanism constructed based on a multi-agent game confrontation unit enables the agents to realize collaborative confrontation based on a real-time state autonomous evolution strategy of a digital twinborn scene, and solves the problem that the agent decision is disjointed from a physical scene state.

The invention discloses an intelligent life prediction and optimization system and method for a steam turbine rotor welded joint. The system comprises a multi-source data acquisition module, a digital twin modeling module, a health state evaluation and life prediction module, a risk early warning module and an operation collaborative optimization module. The multi-source data acquisition module acquires the multi-dimensional physical quantity of the rotor welding joint in real time. The digital twin modeling module establishes a high-fidelity virtual model and realizes real-time synchronization and correction of a physical entity and a digital model. And the health state evaluation and life prediction module is used for calculating a damage accumulation rate and a health index based on fusion of a physical model and an LSTM neural network so as to realize residual life estimation. And the risk early warning module performs graded early warning according to the dynamic trend of the health state. And the operation collaborative optimization module adaptively adjusts operation parameters and optimizes the unit efficiency based on a reinforcement learning algorithm. All the modules are interconnected through an industrial network to form a closed loop, and real-time monitoring, intelligent evaluation and active service life management of the rotor welding joint are achieved.

The invention discloses a digital twinning-based building full life periodicity performance evaluation method and device, and belongs to the field of building construction.The evaluation method comprises the following specific steps that I, in the building planning and design stage, a building foundation digital model is constructed, meanwhile, various construction data are collected in real time through a multi-modal sensor, and block chain storage is established; iI, performing real-time sensor data preprocessing and updating based on the building basic digital model so as to perform multi-physics field coupling simulation, and dynamically updating and predicting a building state; the method overcomes the limitation that traditional simulation is large in calculation amount and difficult to update in real time, improves evaluation reliability, achieves dynamic calibration and precision enhancement, enables material aging and repair prediction to be more accurate, provides a solid basis for durability evaluation, improves the economy and reliability of the whole life cycle of a building, and has a wide application prospect. And a complete closed loop of coverage planning-construction-use-maintenance is formed, so that the performance evaluation can be continuous, dynamic and traceable.

Digital model platform that enables the streamlined creation and management of digital twins and physical twins by leveraging external feedback and artificial intelligence (AI) is disclosed. Methods and systems for a model collaboration platform that facilitate the integration of external feedback, whether from physical, virtual, or human sources, into the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Updated results are output to those external sources, including physical twins, other digital twins or models and simulations, and / or human users. External feedback includes feedback data from physical prototypes and their environment, virtual prototypes, simulations, and subject-matter experts. Embodiments are directed to integrating external feedback into the assembly and system-level assessment of digital twins, physical twins, digital threads, and the iterative design of constituting digital engineering models, including constructing, maintaining, and improving digital engineering models for the design, validation, verification, certification, operations, and maintenance of complex systems.

The invention discloses a thermal insulation color steel sandwich composite board product quality detection system based on digital twinning, and particularly relates to the field of quality control. The system comprises a composite board full-dimension three-dimensional digital model construction module, a production digital twinborn body creation module, a total-factor real-time data acquisition module, a data preprocessing module, a twinborn data driving and model calibration module, a quality intelligent analysis decision module and an optimization execution module. The model construction module constructs a reference model and embeds a process standard and a quality threshold value; the twin creation module builds a virtual production line, standardizes a data interface and assigns an ID to a plate; the data acquisition module acquires real-time data; the preprocessing module removes abnormal values, standardizes data and associates the data; the calibration module updates the twin body, calculates the deviation and calibrates the model; the analysis module realizes compliance judgment, defect analysis and quality prediction; and the optimization module generates and executes an instruction, so that the problems of low efficiency, data splitting and no closed loop of traditional detection are solved, and the quality control precision and efficiency are improved.

The invention relates to the technical field of power system monitoring, in particular to a power system parameter dynamic verification method, system and device based on digital twinning and a storage medium. Constructing a digital twinborn model of the power system, establishing a state mapping relation between a physical system and a digital model, realizing bidirectional dynamic mapping between the physical system and the digital model through a digital mapping mechanism, and obtaining system operation characteristics; constructing a parameter verification model based on the operation characteristics, obtaining a verification objective function by fusing physical constraints and data driving, and dynamically adjusting parameter values to generate parameter correction values by evaluating model errors in real time by adopting an adaptive parameter correction algorithm; based on a dynamic optimization mechanism of multi-objective optimization, an optimization strategy is adaptively adjusted according to the running state, and the verification process is continuously optimized; and performing multi-dimensional evaluation on the verification result through the verification precision evaluation system to generate a parameter verification result. The technical problems that a traditional method is inaccurate in modeling, low in response speed and poor in adaptability are effectively solved.

Methods and systems enabling multimodal inputs for interacting with a live digital object are provided. The system receives the live digital object which includes a digital artifact extracted from a digital model file through a model representation. The system receives a user's security level and determines the user's access permission and modification permission to access and modify the digital artifact. The system accesses a multimodal interface configured to receive a conversational input and a spatial input, outputs the digital artifact to the multimodal interface based on the access permission, receives from the multimodal interface a conversational input and a spatial input from the user, and generates a modified digital artifact from the digital artifact via the digital model representation, based on the modification permission and on the conversational or spatial input. The multimodal interface may include conventional interfaces (GUIs / APIs), conversational interfaces (text / voice), and spatial computing interfaces (VR / AR / MR / gestural).

The invention relates to the field of visual measurement of parts, in particular to a non-contact micropore form and roughness measurement method and system. The method comprises the following steps: carrying out initial contour scanning on a precision part, carrying out part detection base point analysis, and extracting an optimal coordinate base point; performing full-coverage scanning planning and panoramic image splicing based on the optimal coordinate base point to obtain a panoramic fusion image; geometric structure point depth identification is carried out on the panoramic fusion image, three-dimensional point cloud modeling is carried out, and a part CAD digital model is constructed; carrying out micropore shape key size calculation based on a part CAD (Computer Aided Design) digital model, carrying out geometric comparison calculation, and extracting an error value of each measurement point; and performing deviation visual mapping and comprehensive evaluation according to the error value of each measurement point, and outputting a comprehensive evaluation report. According to the invention, the precision part detection efficiency and precision are improved, and the production quality control and later problem traceability of the precision part are enhanced.

The invention discloses an optimization design method for improving the environmental performance of a building site, and relates to the technical field of site design. The method comprises the following steps: S1, collecting and preprocessing basic information of a building site; s2, building a multi-dimensional digital model of the building site; s3, site environment performance simulation and index quantification are carried out; s4, environment performance parameters are intelligently optimized; s5, verifying and finally determining an optimization scheme; and S6, optimizing effect tracking and dynamic adjustment. According to the method, adjustable variables of a building candidate model serve as genes, binary crossover and polynomial variation are simulated through iteration of 100-200 sets of initial populations, and a multivariable combination space is automatically traversed; according to the method, planning specifications and a cost threshold value are converted into algorithm constraints, it is ensured that an output scheme is compliant and economical, 3-5 groups of non-inferior solution schemes are screened out in 3-5 rounds of iteration, standardized values of environmental performance parameters after optimization are all larger than or equal to 0.7, local optimum is avoided, and optimization efficiency and scheme comprehensiveness are greatly improved.

The invention provides an intelligent resource decision-making method based on industrial chain collaborative optimization, and relates to the technical field of industrial internet management, and the method comprises the steps: integrating resource data, business data, external environment and other multi-source heterogeneous data from all participants, combining a causal conduction rule and an operation constraint rule, and carrying out the collaborative optimization of an industrial chain. According to the method, a dynamic digital model capable of simulating a real industrial chain operation mechanism is generated, concurrent extreme conditions of multiple risks in reality are simulated through a composite interference scene for deduction, and a corresponding multi-dimensional toughness index and a visual toughness profile are generated based on a simulation result; precise positioning of key fragile nodes and fragile conduction paths is realized, deduction of different types of composite interference scenes can simulate influences of various complex factors appearing in an actual industrial chain, so that corresponding resource allocation strategies are generated, a coping basis and a precaution basis are provided for appearing of the actual interference scenes, and the resource allocation efficiency is improved. And the coping capability of the industrial chain network to the emergency scene interference is improved.

The invention relates to the technical field of three-dimensional digital modeling, in particular to an automatic real-time three-dimensional digital modeling method and system for a dike. The method comprises the following steps: collecting first image data of a dike area, and setting a three-dimensional coordinate system of the dike area; evaluating a plane median error and an elevation median error of the first image data, and obtaining field acquisition precision based on the plane median error and the elevation median error; adjusting shooting parameters of the unmanned aerial vehicle according to the field acquisition precision, and acting the adjusted shooting parameters of the unmanned aerial vehicle on the unmanned aerial vehicle; acquiring second image data of the dike area through the adjusted unmanned aerial vehicle; executing spatial triangulation calculation on the second image data, and generating aerial triangulation calculation result data; and performing three-dimensional model reconstruction based on the aerial triangulation result data to obtain a dike three-dimensional digital model. According to the method, the frequency and the precision of obtaining the geometric information of the dike can be improved, and high-resolution and dynamically-updated three-dimensional modeling is realized.

The invention provides a concrete 3D printing self-adaptive deviation correction method and system, and relates to the technical field of intelligent construction and additive manufacturing, the method comprises the following steps: determining a deviation field matrix based on three-dimensional point cloud data, a two-dimensional texture image and printing parameters of a printed concrete layer; and extracting a two-dimensional texture image based on a convolutional neural network model, determining a defect feature data set, inputting the deviation field matrix, the defect feature data set and the printing parameters into a deformation trend prediction model to obtain a deformation trend set, adjusting the printing parameters of the to-be-printed concrete layer, and generating a target concrete member. The technical problems that traditional concrete 3D printing depends on a preset program, dynamic changes of material rheological characteristics cannot be sensed in real time, the extrusion shape deviates from a design target, interlayer dislocation and deformation can be accumulated layer by layer, and structural instability is caused are solved, and the effect of improving the stability of a printed and formed concrete member is achieved.

The invention discloses a manufacturing method of an encapsulation type driver transformer with high heat dissipation efficiency, and belongs to the technical field of power electronic equipment manufacturing. The invention aims to solve the technical problems of low heat dissipation efficiency and insufficient long-term reliability caused by limited heat-conducting property of a potting material, simple surface heat dissipation structure and difficulty in coordination of internal thermal stress of the existing driver transformer. The method comprises the following steps: constructing a three-dimensional digital model of a reinforced heat dissipation structure with a boss array and a groove array, and preparing a corresponding forming mold; a magnetic core and a winding are used as inserts to be positioned in a mold cavity, insulating colloids with different mechanical and heat conduction characteristics are poured in a vacuum environment in batches, internal gaps are fully filled with flexible colloids and stress is buffered through a segmented curing process, meanwhile, high-heat-conduction rigid colloids form an external main body and a heat dissipation structure, and an integrated potting body is formed. The method is used for manufacturing the driver transformer suitable for scenes with high power density and high heat dissipation requirements, and the heat dissipation capability and the operation reliability of the driver transformer can be remarkably improved.

The Portable Digital Twin Robotic System based on Computer Vision for the Identification, Tracking, and Destruction of Suicide Drones is an innovative system that autonomously identifies, tracks, and destroys suicide drones by leveraging Digital Twin and computer vision technology. This system analyzes visual data using artificial intelligence algorithms and performs precise positioning in real-time. Aided by the Digital Twin, the precise simulation of the system's dynamics and movement enables the optimization of paths and precise control of the robot, while the real-time communication between the digital model and the physical robot provides the capability for immediate updates of control algorithms and predictive maintenance. The portable design and the capability to be connected to various types of weapons make this system suitable for installation on military and non-military platforms and improves the security of sensitive areas.

The invention discloses a special gas cylinder state real-time monitoring and abnormal behavior recognition system, which belongs to the technical field of gas cylinder safety monitoring, and comprises a gas cylinder state data acquisition module for continuously acquiring the pressure, the temperature, the position and the gas concentration of a gas cylinder in real time within one second; the gas cylinder digital twinning module constructs a gas cylinder virtual three-dimensional digital model based on gas thermodynamics physical constraints, realizes double-source fusion of physical constraints and actually measured data by establishing an equivalent mapping relation between the virtual model and a gas cylinder real-time state, and performs adaptive correction on the equivalent mapping relation based on a deviation decomposition attribution mechanism; the deviation decomposition attribution mechanism divides deviations into random errors, systematic accumulated deviations and abnormal deviations, and differential correction strategies are adopted for different types; the equivalent mapping dynamic updating unit continuously optimizes a mapping function through an online learning algorithm, so that the model has a self-evolution capability; and conversion from passive monitoring to active prediction is realized.

The invention discloses a 3D GS cultural relic digital reconstruction method and system based on a block chain, and the method comprises the steps: collecting the RGB image data and depth perception data of a cultural relic, eliminating the influence of different shooting conditions through an illumination separation processing technology, and building a standardized image data set; recognizing a surface area suitable for reconstruction based on image analysis, determining feature point distribution by using kernel density estimation, and generating initial three-dimensional representation through Gaussian ellipsoid fitting; performing gradient calculation and feature extraction on the depth data, and combining with Gaussian representation to form a geometric constraint mechanism; self-adaptive encryption based on visual importance is executed for a sparse region, and a layered rendering effect is achieved through opacity parameter adjustment; the rendering characteristics and the conversion relation of different view angles are analyzed, key observation points are determined through stability analysis, and a smooth multi-view-angle display sequence is constructed; and integrating multi-view rendering information to generate volumetric representation, and completing right confirmation of the high-quality three-dimensional digital model through digital signature.

The invention relates to the technical field of beam bridge splicing, in particular to a large-span concrete continuous beam bridge splicing construction method based on intelligent construction. The method comprises the following steps: acquiring digital modeling data of a left bridge and a right bridge to be spliced; analyzing the digital modeling data, and determining the dynamic stress distribution of the whole construction process; acquiring deformation monitoring data in real time, analyzing the deformation monitoring data, and determining a coordinated deformation rule of the left and right bridges; and generating a splicing construction scheme according to the dynamic stress distribution and the coordinated deformation rule. And the decoupling problem of a digital model and a physical entity is eliminated. The problem of stress control blind areas is solved, stress space-time evolution is quantified, it is ensured that stress prediction covers all stages of construction, and the blind areas of a conventional static model are avoided. The problem of quantitative deficiency of the coordination deformation rule is solved, and the defect of neglecting the deformation coordination is avoided. The problem of construction decision lag is solved, the structural damage probability and temperature cracks are reduced, and coupling of construction execution and a physical mechanism is ensured.

The invention provides a tap density prediction modeling method for a prebaked anode formula, which comprises the following steps: screening calcined coke into multiple particle sizes, measuring the tap density of each particle size, and obtaining physical property parameters; performing high-precision three-dimensional scanning on the representative particles, and constructing a digital model retaining geometric features such as edges and corners and textures; then, by adjusting the particle surface friction coefficient and the corner angle parameter, the deviation between the simulated porosity and an experimental value is within a preset range, and the feasibility of the model is verified; then, performing three-dimensional equal-proportion scaling on the reference fraction model, correcting physical parameters, and then, importing the reference fraction model into a discrete element system to simulate multi-fraction accumulation; and finally, based on the real-time porosity data, establishing a tap density prediction model of the irregular particle system by utilizing the negative correlation between the porosity and the tap density, and realizing the accurate prediction of the tap density under different proportions. The prediction accuracy of the tap density of the prebaked anode can be improved.

The invention discloses a new energy power equipment fault detection system based on digital twinning, and relates to the technical field of new energy power, and the system comprises an equipment management center which is in communication connection with the following modules: a digital modeling module which is used for constructing a three-dimensional digital model of new energy power equipment, multiple physical fields during equipment operation are fused, and a coupled digital twinborn model is constructed; and the data interaction mapping module is used for communicating the physical equipment and the coupling digital twin model. According to the method, the high-precision three-dimensional dynamic model is constructed, the multi-physics field is fused to establish the coupled digital twinborn model, the operation state of the equipment is mapped in real time, dynamic responses of the equipment under different working conditions can be simulated, the limitation that a traditional threshold value method is difficult to adapt to dynamic operation characteristics is overcome, and through multi-physics field coupling simulation, the dynamic performance of the equipment is improved. The internal physical change process of the equipment can be accurately captured, the fault positioning precision and the reliability of a detection result are remarkably improved, and false alarm and missing alarm are reduced.

Methods and systems for generating live digital documents are provided. The method includes receiving a static document file including human-readable data. Then, parsing the static document file into a plurality of subunits. Then, generating a sharable document splice of the static document file. The sharable document splice includes access to a subset of the plurality of subunits, and the access is provided through an Application Programming Interface (API) or Software Development Kit (SDK) endpoint for each subunit in the subset. Then, executing a digital thread script to generate the live digital document from the sharable document splice and an input digital model representation, using API or SDK endpoints in the sharable document splice. The live digital document is configured through the digital thread script to reflect changes in the input digital model representation. Finally, adding execution metadata for the execution of the digital thread script to the live digital document.

The invention relates to the technical field of power construction, discloses a multi-system coupling control crossing frame erection collaborative operation method and system, and aims to improve the stability and collaborative efficiency of an erection process. The method comprises the following steps: establishing a three-dimensional digital model of a spanning structure body, synchronously accessing a plurality of sensor acquisition systems, and acquiring space coordinates of key nodes of the spanning structure body, environmental wind load and operation state information of construction equipment in real time; dynamically generating an anti-overturning constraint condition based on space coordinates and wind load information, and generating a cooperative scheduling strategy in combination with an equipment state; and constructing a space pose matching model to output deviation correction parameters. The stability of the frame body is evaluated through the dynamic analysis model, a load early warning index is generated, and an equipment action instruction is generated through the path optimization model. And adjusting the operation priority according to the early warning index, and synchronously sending the updated priority and the action instruction to the terminal to realize multi-system closed-loop control.

The invention relates to the technical field of automobile manufacturing, in particular to a multi-focus dynamic regulation and control method for laser welding of a truck frame, which comprises the following steps of: S1, carrying out panoramic digitalization on a to-be-welded part of the truck frame through a three-dimensional laser scanner, and constructing a three-dimensional digital model; millisecond-level dynamic adjustment of the laser multi-focus number, spatial distribution and energy ratio is achieved through a programmable optical system and a fuzzy control algorithm, welding deviation is corrected in real time according to a multi-source sensor and a closed-loop feedback mechanism, and therefore it is guaranteed that the laser focus is accurately matched with the geometric characteristics of a welding seam and the real-time welding state; and the quality problems of abnormal temperature of a molten pool, geometric deviation of welding seams and the like are effectively avoided, the precision, stability and complex working condition adaptability of laser welding of the truck frame are remarkably improved, and meanwhile the manual intervention cost is reduced.

The invention discloses an automobile interior and exterior decoration product size measurement method based on automatic scanning, and belongs to the field of automobile part detection, and the method comprises the following steps: carrying out the non-contact comprehensive scanning of an automobile interior and exterior decoration product through a 3D automatic scanner, and obtaining high-precision point cloud data; preprocessing the point cloud data, including denoising, splicing and three-dimensional reconstruction, and generating a product digital model corresponding to the real object; performing automatic alignment and size comparison on the product digital model and a preset CAD design model, and calculating a deviation error of each feature size; and performing automatic qualification judgment on the deviation error based on a preset tolerance standard, and generating a detection report containing an error analysis result and a judgment conclusion. According to the automobile interior and exterior decoration product size measurement method based on automatic scanning, full-coverage data acquisition can be completed in a short time through 3D automatic scanning, the measurement efficiency is improved, the dependence on the experience of measurement personnel is reduced, and high-precision measurement of the size of the automobile interior decoration product is realized.

The invention discloses a risk assessment method for power grid cascading failures, and the method comprises the steps: firstly determining an assessment range and a target, and carrying out the data collection after the assessment range and the target are determined; establishing a system model, and constructing a digital model capable of accurately reflecting physical characteristics, operation states and control behaviors of a real power grid in a computer; constructing an initial fault scene; analyzing a cascading failure propagation path; quantifying risk indexes; and evaluating the cross-domain association influence, supplementing and evaluating the linkage influence on the association system in combination with the cross-domain association characteristics, and proposing a risk prevention and control and optimization strategy. According to the method, potential cascading failure inducements in a power grid can be actively mined through risk assessment of power grid cascading failures, a traditional passive mode of failure reprocessing is broken through, weak links are positioned, key equipment which easily triggers the cascading failures is found out through initial failure scene screening and propagation path simulation, and long-term latent hidden dangers are avoided.

The invention relates to a TBM attitude adaptive correction method and system, and belongs to the technical field of heading machines, and the method comprises the steps: respectively calling a multi-target genetic algorithm and a reinforcement learning algorithm to obtain a corresponding candidate correction strategy set and a corresponding compensation strategy set; selecting an initial deviation correction strategy from the candidate deviation correction strategy set according to the dispersion of the strategy set, and optimizing the initial deviation correction strategy by using the compensation strategy set to generate an optimal deviation correction strategy; inputting the optimal correction strategy into a pre-trained confidence evaluation model used for evaluating the credibility of the correction strategy to obtain the confidence of the optimal correction strategy; and determining the current deviation rectification mode corresponding to the confidence coefficient of the optimal deviation rectification strategy from a preset corresponding relation between the confidence coefficient and the deviation rectification mode, so that the TBM performs deviation rectification according to the current deviation rectification mode, the uncertainty caused by deviation rectification depending on a digital model is reduced, the TBM is subjected to direction adjustment through man-machine cooperation, and the deviation rectification efficiency of the TBM is improved.

The invention discloses a titanium-magnesium intramedullary nail and a designing and manufacturing method thereof, and the designing and manufacturing method comprises the steps that multiple working modes of the titanium-magnesium intramedullary nail are defined according to use requirements, a mode specification table is generated, and the mode specification table comprises main structure parameters, simulated bone trabecula structure parameters and a magnesium alloy filling scheme corresponding to each working mode; based on the mode specification table, optimization design of parameter mapping is conducted, a customized parameter combination of the titanium-magnesium intramedullary nail is determined, and the customized parameter combination comprises pore distribution and magnesium alloy gradient degradation configuration; a 3D digital model of the titanium-magnesium intramedullary nail is generated through modeling of the mode specification table, a titanium-magnesium intramedullary nail prototype is manufactured through a low-temperature 3D printing process, and magnesium alloy filling and micropore channel integration are completed through customized parameter combination in the period; the process of designing, optimizing, forming and compositing is achieved; according to the method, a mode specification table and parameterization mapping serve as links, the titanium-magnesium intramedullary nail integrated design and manufacturing process is constructed, and therefore multi-mode parameter customization is achieved while the manufacturing stability is guaranteed.

The invention discloses a battery pack charging and discharging intelligent decision optimization system based on automatic control, belongs to the technical field of battery charging and discharging, and carries out future state prediction by integrating real-time multivariate state perception and a battery digital twinborn model. The optimal target current distribution value of each battery unit in the corresponding operation mode is obtained through a judgment mechanism driven by a monitoring switching module and online rolling solution of a multi-target dynamic optimization digital model, and current distribution is solved again based on the latest state in each control period; the problem of response lag caused by dependence on data of a previous period in a traditional method is remarkably reduced, the optimization model synchronously considers constraint conditions and optimization targets, the limitation of traditional control based on a fixed threshold value or a single index is overcome on the premise that refined dynamic distribution of the current of the battery unit is achieved, and the method is suitable for large-scale popularization and application. Automatic balance control is achieved in multiple dimensions such as safety, efficiency and service life, and the overall performance and economic benefits of the battery pack are improved.