27 results about "Theory model" patented technology

The invention relates to the technical field of production process control, in particular to an MES system management and control method and system based on precision mold production and manufacturing, and the method comprises the following steps: obtaining a measurement point cloud and a theoretical model, calculating rigid body transformation matrix registration to generate a registration point cloud, searching a nearest projection point, measuring geometric deviation, and constructing a three-dimensional deviation vector; and calculating the actual residual material thickness, screening and generating margin insufficient risk points, analyzing a numerical control code to extract a coordinate instruction, retrieving a nearest risk point, calculating a compensation distance, and adjusting coordinates to generate a self-adaptive finish machining program. According to the method, the three-dimensional deviation vector is constructed to represent the entity state, the risk area is screened in combination with the machining allowance, the compensation distance is calculated according to the actual residual thickness, and the instruction is dynamically adjusted to generate the self-adaptive program, so that the path is automatically corrected according to the shape of the workpiece, and the overcut risk caused by insufficient allowance is effectively avoided; and accurate matching between the machining process and the workpiece state is ensured.

The invention belongs to the technical field of civil engineering technical construction, and particularly relates to a quantitative prediction method for engineering slurry and muck recycling output, which comprises the following steps: S1, synchronizing a construction scene in real time through BIM / GIS and Internet of Things data, and generating a virtual mirror image of a slurry / muck generation process; s2, correcting a theoretical model error according to real-time monitoring data; s3, predicting the mud / muck yield and the resource rate by adopting a time sequence analysis method and combining with a machine learning algorithm, and quantifying uncertainty; s4, dynamically optimizing model parameters through error feedback, and realizing a prediction-monitoring-correction closed loop; through cooperation of the structures, exclusive correction rules are formulated for different construction types, theoretical model errors can be corrected in time according to stratum changes and construction disturbance, and the adaptability of the model under different working conditions and the reliability of prediction results are improved.

The invention discloses a military strength resource scheduling method based on multi-objective optimization, which comprises the following steps: analyzing a strategy selection problem in a confrontation environment through a game theory model according to a resource demand matching degree and an enemy action prediction result, and if an enemy threat mode changes, triggering a self-adaptive adjustment mechanism specified by scheduling, dynamically correcting resource allocation strategy parameters by adopting a reinforcement learning algorithm to obtain an optimal scheduling rule adapted to the current confrontation situation; and calculating a resource consumption rate and supplement demand prediction according to an accurate resource allocation result, predicting a consumption trend of various resources in a future time period through a time sequence analysis algorithm, if the predicted consumption rate exceeds the supplement capability, triggering a resource allocation plan in advance, and determining an optimal resource reserve and supplement strategy by adopting an inventory optimization model. According to the method, the military strength resource scheduling efficiency and the combat effectiveness in a complex confrontation environment are effectively improved.

The invention discloses a method for measuring the difference degree between a plurality of evidence theory models, the method comprises a plurality of evidence models, a complex value distribution model, a probability distribution model and a calculation KL divergence, the plurality of evidence models comprise a plurality of basic probability distributions, the complex value distribution model comprises a complex value probability distribution, and the probability distribution model comprises a probability distribution model. The probability distribution model comprises probability distribution, and the calculation of the KL divergence mainly comprises the calculation of the KL divergence of RBetM1 and RBet2 and the calculation of the KL divergence of RBetM12 and RBet1. Through the provided mapping method, the complex evidence theory model can be mapped to a single distribution model in a real number field, so that understanding and analysis of the complex evidence theory model in the real number field are facilitated; by calculating the KL divergence in a real number field, the model can measure the difference degree between two complex evidence theory models, and the difference degree can be further practically applied.

This invention provides a method, apparatus, and storage medium for estimating the geometric parameters of a spherical cone target. The method includes: acquiring sparse echo data of the spherical cone target; determining the value range of the parameters to be estimated based on prior information of the spherical cone target, obtaining a parameter combination set including several parameter combinations; the parameters to be estimated include the base radius and the semi-cone angle; substituting the parameter combinations in the parameter combination set into a geometric diffraction theory model to obtain the RCS data of the spherical cone target; performing two-dimensional imaging and transformation processing on the sparse echo data and the RCS data respectively to obtain a first column vector and a second column vector; constructing a parameter dictionary based on the second column vector; and inputting the first column vector and the parameter dictionary into a preset optimization algorithm for iteration to obtain the estimated target parameter values. The geometric parameter estimation method for spherical cone targets provided by this solution reduces the computational load while ensuring the accuracy of parameter estimation.

The application discloses a kind of horizontal load friction type pipe pile top rigidity determination method, adopt theoretical method, the soil around pile is regarded as viscoelastic continuous medium, and based on the proposed friction type pipe pile theoretical model under horizontal load, the horizontal load friction type pipe pile top rigidity expression is deduced using analytical method, with rigorous logic;The influence of the resistance of soil around pile and the resistance of pile core soil on pipe pile is considered simultaneously, which is more in line with reality;By substituting relevant parameters for calculation, the image drawn according to the obtained results can accurately describe the horizontal load friction type pipe pile horizontal top rigidity under horizontal load, the method is efficient and simple, the calculation result is specific and clear, and can provide a good reference for the practical application of friction type pipe pile in pile foundation field.

The application relates to a grouting and filling mining surface subsidence dynamic prediction method, which comprises the following steps of: dividing a rectangular working face into a plurality of mining units; calculating the subsidence influence of each mining unit on any surface point by using a probability integral method; calculating a Weibull model time function value of each mining unit at a preset time; and multiplying the subsidence amount of each mining unit at any surface point and the Weibull model time function value, so as to obtain the dynamic subsidence value of any surface point affected by mining and grouting of each mining unit at the preset time. n T T The application improves the subsidence coefficient in the probability integral method according to the technical features of the mining and grouting technology of the bed separation grouting and filling mining, and simultaneously considers the influences of the mining and grouting on the surface deformation; the Weibull model with the improved subsidence coefficient is used as a theoretical model of the grouting and filling mining surface subsidence dynamic prediction, the model basis is more reasonable, and the surface subsidence dynamic prediction precision is higher.​​

This invention discloses a method, medium, and device for analyzing the influencing factors of residents' green travel behavior. Based on the theory of planned behavior and interpersonal relations theory, the method constructs a comprehensive theoretical model of the influencing factors of urban residents' green travel behavior from a static perspective. Secondly, based on a survey of 817 residents in the Yangtze River Delta region, structural equation modeling is used to empirically test the driving mechanisms of different categories of green travel behaviors among urban residents. Furthermore, a social interaction perspective is introduced, and a simulation model is constructed based on scale-free networks and opinion propagation dynamics to simulate and analyze the group response characteristics and dynamic trends of residents participating in various green travel behavior decisions under different scenario parameters. Finally, targeted policy recommendations are proposed to more effectively promote urban residents' practice of green travel.

The application relates to the technical field of bridge engineering and provides a method for determining the spatial dynamic response of a four-corner elastic support bridge, which comprises the following steps: introducing a virtual rigid arm, converting a complex four-corner elastic support bridge system into a simplified mechanical model with clear physical meaning, and obtaining a parameter-adjustable analytical simplified theoretical model; based on the parameter-adjustable analytical simplified theoretical model, solving bridge vertical and torsional dynamic response equations by using Duhamel integral, and outputting dynamic response analytical solutions. The application converts the traditional bridge dynamic response problem depending on high-dimensional finite element simulation into an analytical expression which can be obtained by using Duhamel integral, greatly improving the solution efficiency; the application can be used for bridge design, evaluation and health monitoring: the dynamic response analytical solution of the simplified theoretical model can be embedded into a bridge structure response analysis tool chain, realizing bridge performance prediction and diagnosis under the working conditions of extreme load action, support degradation and the like, and having good engineering popularization value.

The application discloses a kind of minimum safety distance determination method and system of tunnel excavation face crossing gob area, method includes the following steps: set the failure mode of tunnel excavation face instability under the condition that coal mine gob area is contained in stratum, and establish theoretical model based on failure mode;Minimum safety distance condition is judged based on theoretical model;The shape of the failure region is optimized, and the optimal solution of minimum safety distance is obtained based on minimum safety distance condition.The application proposes a failure mode suitable for the instability of tunnel excavation face crossing coal mine gob area, and the analytical solution of minimum safety distance is derived using the upper bound method of limit analysis.Compared with numerical simulation and analytical solution, the model proposed by the application has high precision and can reflect the mechanism of tunnel excavation face instability and failure.

The invention discloses a gas explosion venting overpressure zoning calculation method combined with a physical information neural network, which comprises the following steps of: constructing a three-zone-one-state balance state control equation through a conservation equation, an explosion mechanics theory and a zoning calculation thought, and dividing required input parameters into static characteristics and dynamic characteristics as input characteristics of a TFT (Thin Film Transistor) algorithm, a theoretical model is introduced into a loss function to construct constraint terms of explosion physical information, a PINN-TFT algorithm coupled with the physical information is constructed, a data set is constructed through gas explosion venting test data, PINN-TFT algorithm training is carried out, and a gas explosion venting overpressure partition calculation method combined with a physical information neural network is formed. The method has excellent interpretability and generalization performance, and can be used for explosion venting overpressure prediction of any gas and any ignition position in a limited space.

This invention relates to the field of text processing technology and discloses a method for structuring unstructured information based on multi-agent systems. The method includes: outputting candidate data definition languages ​​and multi-table distribution samples from a generator, statistically projecting them to obtain discrete statistics; constructing a query plan cost phase transition surface based on the statistics, and calculating the steady-state probability of each plan using a Markov steady-state model combined with a plan caching mechanism; calculating the high-quantile tail delay using a queuing theory model, and solving for the second derivative of the tail delay with respect to the distribution perturbation in the minimum transport direction in Wasserstein space to obtain the optimal transmission bifurcation buffer congestion curvature; finally, updating the generator with minimizing this curvature as a constraint and outputting the table structure. This invention effectively reduces the risk of performance avalanche caused by data perturbations and significantly improves database robustness.

The application discloses a kind of based on parameterization model's precision retention evaluation method of roller linear guide pair, belong to high-end numerical control machine tool and precision equipment manufacturing technical field.It includes: step 1: establish the precision degradation theory model of roller linear guide pair.Step 2: set the parameter system required for evaluation.Step 3: execute parameterized simulation analysis.Step 4: extract precision degradation law and establish mapping relationship.Step 5: generate evaluation conclusion and optimization strategy.Compared with prior art, the present application has the following significant advantages: efficient prediction, low cost;The established degradation theory model couples elastic deformation, wear and creep, more in line with the actual complex failure physical process of guide pair, improve the accuracy of long-term prediction.The present application can not only be used for performance estimation and scheme comparison in new product design stage, but also can be used for state evaluation, residual life prediction and maintenance planning of in-service machine tool guide, and the application scenario covers the whole life cycle.

The embodiment of the present application provides a kind of prediction method of sheet forming performance.The method comprises: obtaining the mechanical property parameters of candidate sheet and forming limit curve;According to the forming limit curve, select target theoretical model from at least one candidate theoretical model;According to the mechanical property parameters of the candidate sheet and the target theoretical model, the finite element simulation of target part forming process is carried out, the simulation strain when the target part simulation cracks is determined, and the lowest forming limit curve is generated;Obtain the plane strain point in the lowest forming limit curve, and according to the plane strain point and the target theoretical model, the forming performance prediction of the candidate sheet is completed.The technical scheme of the embodiment of the present application can predict the forming performance of the sheet for a specific part forming process.

The invention discloses a joint optimization method for DNN partition and resource allocation, which realizes collaborative reasoning and resource optimization of a deep neural network in an environment of a single edge server and a plurality of mobile devices, and comprises the following steps of: determining DNN hierarchy segmentation points of each device and the number of computing resource blocks and wireless resource blocks purchased from the edge server; decoupling modeling is performed on a DNN structure and an edge environment through a heterogeneous graph attention network, an optimal partition point and a resource deployment strategy are determined through Actor-Critic under the constraint of an M / M / 1 queuing theory model, and an edge-end cooperative reasoning scheme with price-demand-time delay closed-loop optimization is formed.

Embodiments of the present application provide an evaluation method of an operating mechanism and a related device, applied to the technical field of data processing, input the first score and the second score of each state evaluation index into an equilibrium game theory model, and obtain the optimal score of each state evaluation index output by the equilibrium game theory model. Since the first score represents the score of each to-be-evaluated index based on expert experience, and the second score represents the score of each to-be-evaluated index based on an artificial intelligence model, the optimal score obtained by fusing the first score and the second score through game theory improves the evaluation accuracy of the to-be-evaluated index. Moreover, the equilibrium game theory model is a game theory model constructed based on a dynamic game function, the weight of the first score is a first dynamic weight coefficient, and the weight of the second score is a second dynamic weight coefficient. It can be seen that the accuracy of the optimal score is further improved through the game theory with variable weights.

Disclosed is a prediction system for a price of raw and fresh milk based on large data, including: collecting and preprocessing original market data to obtain market data; implementing an adaptive clustering algorithm on the market data; constructing a game theory model and introducing Nash equilibrium analysis of mixed strategies to calculate an optimal strategy combination of each market stage; predicting a price of raw and fresh milk using the optimal strategy combination; and modifying the game theory model, predicting the price of raw and fresh milk using the modified game theory model, and visually displaying a prediction result. In the present disclosure, the problems of a fixed algorithm structure mostly adopted in the existing clustering algorithms and lack of a dynamic adjustment mechanism are solved.

The application relates to the field of network security, and discloses a system security management method: by monitoring user behavior data in real time and evaluating the security risk, the user access permission is dynamically adjusted; by combining reinforcement learning, optimal control theory and game theory model, the permission adjustment and protection strategy are optimized; by the adaptive feedback mechanism, the key model parameters are adjusted, the flexibility, response speed and security of the system are improved, and the maximization of resource utilization is ensured; the application also provides a system security management system: a behavior monitoring module, a permission adjustment module, a game theory model module and an adaptive feedback module. By combining reinforcement learning, optimal control theory, game theory model and adaptive feedback mechanism, the application realizes dynamic permission adjustment, intelligent risk assessment and optimized resource utilization, improves the system security and response speed, and solves the problems of permission management lag, excessive limitation and resource waste in the prior art.

The invention discloses an evaluation method, device and system based on multiple interest subjects. The method comprises the following steps: constructing an economic, ecological and social multi-dimensional evaluation index system; calculating the subjective weight of each interest subject by adopting an AHP method; integrating the weights of all parties by using a Shapley value game theory model to obtain a comprehensive subjective weight; calculating objective weight by adopting an entropy weight method; combining subjective and objective weights through a convex optimization model to obtain a final weight; and sorting and optimizing the schemes based on a TOPSIS method and the final weight. According to the method, the interests of multiple parties are balanced through the game theory, the scientific decision problem under the conflict of multiple interest subjects is solved in combination with the subjective and objective weighting method, and the scientificity and the fairness of scheme evaluation of complex projects such as the hydro-junction are improved.

The invention relates to the technical field of historic building wood structure protection and structural engineering, in particular to a lateral resistance evaluation method for a multi-story historic building wood structure forked-column wooden column, and the method comprises the steps: decoupling the stress deformation at the column limb of the forked-column wooden column into horizontal, rotating and vertical stress assumptions; a spring unit and a rod unit are respectively introduced to equivalently simulate the stress characteristics of the decoupled wooden column, and a rotation theoretical model of the column limb is established by deducing the stress-strain relationship at the rotation position of the column limb, so that the quantitative analysis of the mechanical properties of the whole loading process of the wooden column is realized, the stress analysis more fitting the actual condition is realized, and the reliability of the wooden column is improved. And evaluating the lateral resistance of the wooden column. According to the method, the problems of result limitation of'test analysis' and calculation bottleneck of'finite element simulation 'of an entity finite element model in the prior art are solved, and accurate and efficient evaluation of the lateral resistance of the multi-story historic building wood structure forked column and the wooden column is realized.

The application provides a tool path planning method and device and a computer readable storage medium. The method comprises: obtaining design parameters of a target workpiece to construct a theoretical model of the target workpiece after rounding; using a numerical control machine tool to perform on-machine measurement according to the theoretical model to obtain position data of measurement points of each surface of the target workpiece; obtaining clamping errors and manufacturing errors of the target workpiece based on the position data; reconstructing the theoretical model based on the clamping errors and the manufacturing errors to obtain an actual model of the target workpiece; and planning a rounding machining tool path of the target workpiece based on the theoretical model and the actual model. The method realizes rapid and accurate alignment and manufacturing error adaptation, greatly reduces manual intervention, and improves the machining quality of rounding machining.

The invention discloses a quantitative simulation method and device for osmotic pressure and cohesive force of a slip crack surface of a model block, and belongs to the technical field of geotechnical engineering physical model tests. The problems that in the prior art, the real-time synergistic effect of multiple physical fields is difficult to achieve, a non-uniform seepage field conforming to actual stratum permeability coefficient space variability cannot be constructed, and a test-theoretical model is disjointed are solved. Through the synergistic effect of the adjustable slip crack surface generation module, the high-precision osmotic pressure control system and the cohesive force application module, multi-parameter coupling analysis of the stability of the slip crack surface under complex geological conditions is realized; through the arrangement of the slip crack surface generation module, a multi-section hinged guide rail and real-time laser scanning verification, continuous adjustment of the curvature radius and the inclination angle of the slip crack surface is achieved, accurate generation of a circular arc shape, a broken line shape and a composite shape is supported, and the device is remarkably superior to a traditional fixed shearing surface and segmented splicing type device.

The application discloses a loess high fill deformation and failure mechanism research method, which explores the whole process of deformation and failure of high fills in loess areas by means of indoor test, field monitoring and numerical simulation method, and proposes a seepage-deformation dynamic coupling theory model of loess water-high pressure coupling caused subsidence and sliding according to the principles of soil mechanics, plastic mechanics and variation, and belongs to the technical field of geological research. The loess high fill deformation and failure mechanism research method comprehensively adopts multiple InSAR technologies to obtain large-scale, long-sequence and massive three-dimensional deformation data of multiple high fills in loess areas, studies the influence law of different factors on deformation through a big data deep learning method, inverses the deformation parameters of soil bodies under large loads, solves the problem of selection of deformation calculation parameters of high fills in airports, identifies deformation mutation points, realizes early warning of fill diseases and deformation, and proposes a "four-in-one" anti-subsidence and anti-sliding key technology of high fills in loess areas.

The present application relates to the technical field of production process control, in particular to a MES system management and control method and system based on precision mold production and manufacturing, comprising the following steps: obtaining a measurement point cloud and a theoretical model, calculating a rigid transformation matrix registration to generate a registration point cloud, searching for the nearest projection point to measure geometric deviation and constructing a three-dimensional deviation vector, calculating the actual remaining material thickness and screening to generate insufficient allowance risk points, analyzing numerical control code to extract coordinate instructions, retrieving the nearest risk point, calculating the compensation distance and adjusting the coordinates to generate an adaptive finishing program. In the present application, the entity state is represented by constructing a three-dimensional deviation vector, the risk area is screened in combination with the machining allowance, the compensation distance is calculated according to the actual remaining thickness, the adaptive program is dynamically adjusted by the instructions, the path is automatically corrected according to the workpiece appearance, the overcut risk caused by insufficient allowance is effectively avoided, and the machining process and the workpiece state are accurately matched.

The invention discloses a method for evaluating the stability of a tunnel face in a deep in-situ coupling environment. The method comprises the following steps: constructing an excavation response prediction elastic-plastic analysis model considering the deep in-situ thermal-hydraulic coupling environment; setting the state on the plastic boundary of the surrounding rock in the excavation response theoretical model; calculating seepage flux and heat transfer flux corresponding to the excavation response theoretical model based on a set state; calculating stress on an elastic-plastic boundary in the excavation response theoretical model based on a set state; and calculating surrounding rock parameters in a plastic area in the excavation response prediction elastic-plastic analysis model layer by layer by adopting a difference calculation method. According to the method, an equation set in which strength parameters and coupling parameters dynamically evolve at the same time is given, and changes of rock mass parameters in the tunnel face plastic area under the hot water and hydraulic force full-coupling environment are quantitatively represented. And through plastic zone difference and overall model iteration, tunnel face surrounding rock analysis of dynamic evolution of strength parameters and coupling parameters in a full coupling environment is obtained.

The application discloses a kind of based on advanced geological prediction result's heading machine construction parameter intelligent prediction method and system.The method includes: constructing time-space alignment multidimensional geological feature input vector;Physical embedded neural network (PINN) prediction model is constructed, and construction parameter is output;"mileage-parameter" mapping relationship is stored in virtual geological instruction database;In the process of TBM excavation, real-time acquisition actual construction parameter and excavation efficiency data, PINN model is updated on line and weight fine tuning.The application embeds CSM theoretical model into neural network loss function, and introduces dynamic physical tolerance mechanism, realizes the construction parameter intelligent decision-making with physical explainability and data fitting accuracy, significantly improves the adaptability and prediction reliability of TBM under complex geological conditions.

The present invention discloses a construction method for a general artificial spatiotemporal intelligence large-scale model, wherein modeling is carried out on the basis of the object representation and the spatial relationship of spatial zero-dimensional objects, one-dimensional objects, two-dimensional objects and three-dimensional objects, and wherein a uniform structured topological representation and storage of all types of multimedia information in the real world, such as text, graphics, images, audio, video, etc., are created, and wherein a multimodal large-scale model training method of the three-dimensional representation is used to construct an artificial spatiotemporal large-scale model that is capable of uniformly representing and interacting with all objects in human society, and in combination with spatiotemporal information processing and spatiotemporal relationship analysis,The knowledge allocation and logical inference of the business process provides the skills for representing spatiotemporal relationships, semantic understanding, environmental perception, spatiotemporal inference, and spatial decision-making to solve the problem that the existing large-scale language model has a single representation, lacks topological relationships, and struggles to handle spatiotemporal relationships in the three-dimensional real world. The spatiotemporal large-scale model can be comprehensively applied to the fields of multimedia information processing, theoretical model derivation, automated driving, intelligent robotics, and industrial engineering.