76 results about "Load vector" patented technology

The invention relates to the technical field of edge computing, in particular to an operator edge computing node optimization method and system, and the method comprises the steps: obtaining local load features and cross-node association features of edge nodes in real time, and constructing a dynamic load vector and an association vector respectively; based on a preset time sequence prediction model, taking the load vector and the association vector as input, and obtaining a predicted load trend in a future preset time period; generating an optimal service migration strategy through a preset reinforcement learning model according to the predicted load trend in combination with the dynamic load vector, the association vector and the task attribute; wherein the migration strategy comprises a migration target node and a migration resource allocation scheme; wherein the task attributes comprise task priorities; and on the basis of the migration strategy, a resource pre-allocation scheme of the target node is generated in combination with a preset resource constraint condition, and the method has the advantages of improving service response, resource utilization rate, task success rate and the like in a high dynamic scene.

The invention discloses a ground derrick and power tower coupling structure stress analysis method, and relates to the technical field of electric power engineering analys.The method comprises the steps that a load transformation matrix is constructed, dynamic loads are accurately decomposed in combination with the derrick installation inclination angle, and complex space load vectors collected by a sensor can be converted into complex space load vectors through the matrix; the method comprises the following steps of: converting into components with definite mechanical significance in axial direction, torsion and bending, clearly defining action forms of loads in all directions on a structure, and dynamically adjusting the weight of each load component based on a contribution degree quantization function and working condition self-adaptive weighting by taking stress response of a key part as a basis, the contribution degree function quantifies the component influence through the stress proportion, weighted calculation is carried out on related working condition parameters, the weighted stress of each component reflects the essential characteristics of the load and adapts to the real-time working condition, accurate and dynamic basic data are provided for subsequent stress analysis, and the complex stress of the coupling structure under multiple working conditions is accurately analyzed.

The invention relates to an airbag state reconstruction method and device and computer equipment. The method comprises the steps that node displacement strain corresponding to air bag node displacement is acquired; the air bag node displacement is determined according to an inverse shell unit obtained by carrying out grid division on the air bag; according to the node displacement strain and the strain estimation value corresponding to the node displacement strain, obtaining a functional model of the inverse shell unit; the strain estimation value is obtained by fusing first strain and second strain of the airbag, and the precision of the first strain is higher than that of the second strain; determining a pseudo stiffness matrix and a pseudo load vector of the inverse shell unit based on the functional model; obtaining a node displacement model of the air bag according to the pseudo stiffness matrix and the pseudo load vector; and determining target node displacement of the air bag based on the node displacement model, and performing state reconstruction on the air bag according to the target node displacement. By adopting the method, the airbag state reconstruction precision can be improved.

The invention discloses a thin-wall structure topological optimization design method, device and system, and a storage medium. The method comprises the following steps: calculating any unit density in a design domain according to a structure topological optimization model; calculating a displacement vector according to the density of any unit in the design domain, the total stiffness matrix and the external load vector; calculating the structural flexibility according to the element stiffness matrix and the displacement vector; according to the unit density and the structural flexibility, obtaining the sensitivity of the target function and the constraint function to design variables; establishing a topological optimization model by taking the minimum structural flexibility as a target function, taking the welding spot area as a constraint condition and taking a design variable as a normalized height; and according to the sensitivity of the target function and the constraint function to the design variables and the topological optimization model, performing updating iteration on the design variables by utilizing an MMA algorithm to obtain an optimized structure. By the adoption of the technical scheme, on the premise that the technological constraint of the superplastic forming technology is met, the structure with the excellent mechanical property is obtained.

The invention provides a cooperative output control method for a honeycomb type flight aircraft carrier, and belongs to the technical field of honeycomb type flight aircraft carriers. An autonomous aircraft formation initialization matrix is constructed to establish a hexagonal honeycomb type space geometric structure model to determine the relative position relation of all aircrafts; a dynamic load sensing system is used for collecting load gravity center change data in real time through a torque sensor to calculate a dispersed load vector, a cooperative configuration matrix is decomposed into a low-rank matrix combination to recognize a load distribution mode, and a control vector is automatically supplemented through a matrix rank loss detection algorithm to recover a full-rank characteristic. Based on the lightweight dynamic distribution model, the output distribution processing frequency is adaptively adjusted in different intervals according to the dispersed load vector deviation value, the output distribution coefficient of each aircraft is optimized, and the technical problem of low cooperative output control precision caused by unbalanced load distribution in a multi-aircraft formation system is solved.

The invention belongs to the related technical field of subtractive manufacturing, and discloses a material removal simulation and workpiece deformation prediction method based on an extended finite element simulation model and application. The method comprises the following steps: carrying out finite element mesh division on a three-dimensional model of a blank, and carrying out mesh encryption treatment on the periphery of a preset virtual crack surface, so as to obtain a plurality of mesh units; loading residual stress in the three-dimensional model of the blank, and calculating a total load vector; calculating a global stiffness matrix; solving an overall displacement free vector; and obtaining a displacement free vector of each unit according to the total displacement free vector, and applying the displacement free vector of each unit to a grid node of each unit so as to obtain coordinates of the node after deformation, thereby realizing deformation prediction. According to the invention, the problems of low calculation efficiency and poor calculation precision in deformation simulation prediction are solved.

A method and system for analyzing a vehicle winch design includes a preprocessor determining contact locations for winch components from a mesh model. The preprocessor determines load vectors at a winch assembly and counter-vectors at a fairlead based on a relative position of a winch wire and a hook retention location based on a winch load rating. A non-linear analysis system determines plastic strains, deflections, and clearances under the winch load rating based on the contact locations, load vector and counter vector, and communicates the plastic strains, deflections, and clearances to a post processing system. The post processing system compares the plastic strains to strain limit at a post processor, compares the deflection to a deflection limit, compares clearances to a clearance limit and generating a display based on comparing the plastic strains, compares the deflection to the deflection limit and compares clearances to the clearance limit.

The invention discloses a bridge finite element real-time analysis method and system, and the method comprises the steps: constructing a finite element model of a structure, and dividing the finite element model into a plurality of finite element units through discretization processing; calculating an overall stiffness matrix K according to the established finite element model; in combination with the boundary condition of the structure, recalculating to obtain a processed total stiffness matrix K ', and carrying out serialization operation on the processed total stiffness matrix K '; selecting a position for storing the sparse matrix according to a specific computing environment; according to the load information acquired by the sensor, converting the load information into a corresponding load vector in the finite element model; and combining the cached total stiffness matrix K'with a load vector, solving node displacement and structural response, and transmitting a result to a post-processing module. According to the method, the required data are efficiently accessed according to different calculation requirements on the basis of a sparse matrix cache strategy, when the load changes, only the load vector needs to be recalculated and solved, the overall stiffness matrix does not need to be recalculated, and the calculation efficiency is improved.

The invention provides a tool magazine tool changing control system and method based on variable frequency speed regulation, and relates to the technical field of tool magazine tool changing control, and the method comprises the steps: obtaining a tool changing instruction and tool information, recognizing a machining stage, collecting tool arm load information, querying and calculating real-time parameters and tool historical data, and calculating a tool magazine circumferential unbalance load vector; and the load threshold value is judged and prompted. The speed curve planning module is combined with the operation frequency output by the frequency converter, so that staged fine adjustment of the speed of the tool arm motor is achieved, the problems of structural impact, aggravation of abrasion, reduction of tool changing precision and the like caused by extensive speed control in the traditional tool changing process are solved, the service life of equipment is prolonged, and the tool changing stability is improved.

This invention relates to the field of structural fatigue life prediction technology, and discloses a method and system for predicting the fatigue life of a hinged coupling, comprising: Step 1, acquiring torque and input shaft angular position data, mapping time to angular position and dividing it equally to obtain angular domain torque; Step 2, constructing a load vector based on the angular domain torque and mapping matrix, and converting it into bending stress and torsional stress; Step 3, determining the equivalent stress, principal stress surface direction angle, and rotation rate; Step 4, calculating and correcting the average equivalent stress per revolution; Step 5, calculating the load concentration factor based on the assembly misalignment angle and angular position, generating a dual-sector weight core, and combining it with the rotation rate to obtain a follow-up amplification factor; Step 6, integrating the corrected stress, weight core, and amplification factor to obtain the cumulative damage per revolution; Step 7, determining the life by accumulating multi-revolution damage, and estimating the remaining life revolutions and time if no failure occurs. This invention achieves accurate prediction of the fatigue life of hinged couplings under complex working conditions.

The application discloses a map parallel superposition analysis attribute matching method and system based on Hilbert space coding, relates to the technical field of geographic information systems, determines a target region, reads and loads vector polygon data of a source layer and a target layer which need to be subjected to superposition analysis, calculates a geometric center point of each polygon, generates a globally unique Hilbert space code according to a space range, and analyzes the vector polygon data of the source layer. The application generates the globally unique Hilbert space code by calculating the geometric center point of the polygon, avoids the high complexity problem of geometric intersection operation in the traditional method, the uniqueness of the code ensures the accuracy of attribute matching, especially in the massive data scene, the parallel processing of the Hilbert space code significantly reduces the calculation time, meanwhile, the space filling characteristic of the code ensures that the codes of adjacent polygons are similar, further optimizes the locality of attribute transmission, and reduces invalid calculation.

The invention discloses a game CPU-oriented model identification method and system, and belongs to the technical field of computer performance optimization, and the method comprises the following steps: S1, collecting a real-time performance vector from a CPU core performance monitoring unit; S2, obtaining a predictive load vector from a game engine; s3, adjusting the dynamic learning rate based on the change degree of the predictive load vectors at the current moment and the previous moment; s4, calculating an instantaneous matching degree for each candidate model in a preset candidate CPU micro-architecture model set based on the real-time performance vector, the predictive load vector and a preset reference performance matrix associated with the candidate model; and S5, updating and generating a dynamic confidence score for each candidate model in combination with the confidence, the instantaneous matching degree and the dynamic learning rate of the previous moment, and winning a precious time window for predictive performance optimization of a game engine.

The embodiment of the invention discloses a container load drift method between cluster nodes and a computer program product. The method comprises the following steps: determining a drift node and a drifted node in a first node and a second node based on a drift trigger type of the first node in response to the fact that a node load of the first node in a cluster is not in a load threshold range; in the drift node, a target container is determined based on matching degree sorting of each container load and the load difference value; determining a target node in the second nodes based on the matching degree between the load demand vector of the target container and the residual load vector of the drifted node; and performing load drift on the target container between the first node and the target node. In the embodiment of the invention, the container drift is carried out with the minimum drift distance, the shortest drift time and the lowest energy consumption, the load balancing can be automatically carried out on the cluster nodes, the failure rate caused by the abnormal load is reduced, and the reliability and the utilization rate of the cluster are improved.

The application belongs to the field of computational mechanics, and discloses a scale order reduction near-field finite element calculation acceleration method and implementation method for structure fracture analysis.The acceleration method comprises the following steps: firstly, geometric modeling is performed on a target structure; secondly, the split finite element is recorded as a fine scale element and constitutes a fine scale grid; thirdly, based on a spatial neighborhood relationship, the fine scale element is collected into a coarse scale element and constitutes a coarse scale grid; fourthly, an equivalent shape function of the coarse scale element is obtained; fifthly, the overall stiffness matrix and the load vector of the coarse scale grid are calculated; sixthly, the overall node displacement of the coarse scale and fine scale grid is solved; seventhly, it is judged whether the current loading step or time step reaches the maximum loading step or time step; if yes, the displacement nephogram and equivalent damage nephogram of the target structure are output; if not, the key state of all fine scale near-field elements is updated; and finally, the implementation method is that the acceleration method is taken as a core calculation module to be implemented in different scenes.The application significantly improves the calculation efficiency of near-field dynamics in large-scale simulation analysis.

The invention relates to the field of edge processing, and discloses a campus dormitory intelligent door lock gateway system and method based on edge processing, and the method comprises the steps: obtaining a door lock processing queue length, a passage trigger count and a door body occupation duration, mapping the door lock processing queue length, the passage trigger count and the door body occupation duration into a door area operation load vector, and determining a state evolution sequence of a door area operation load; identifying a transition interval in which the gate area operation load is converted from a steady state to a congestion state, and forming a corresponding processing period; based on the time adjacency relation of the passing request and the door body occupation continuity, generating an aggregation passing unit representing the overall passing behavior; constructing a risk state mechanism coupled with a gate area operation load state, executing constrained risk state transition judgment on the aggregation passing unit, and determining a risk state level; the passing requests in the processing cycle are bound to the corresponding verification path instances in the door lock gateway according to the risk state hierarchy, and a verification set associated with the selected verification path is formed. The method has the advantage that the stability is improved.

The application discloses a kind of prediction methods of building three-dimensional vibration response, comprising the following steps: step one, the dynamic stiffness matrix of the column, beam, floor and shear wall four components in the frame-shear wall structure of building is obtained, according to spatial geometric coordinate relationship is assembled, obtains the dynamic stiffness matrix [D] of building G ;Step two, according to external force load vector [F] G And the dynamic stiffness matrix [D] G Of building, the displacement response vector [X] G Of building is obtained;Step three, according to the displacement response vector [X] G Of building obtained, according to building displacement response, the strategy of installing damping support in the bottom of building is used to carry out damping. According to the technical scheme provided by the application, the strategy of installing damping support in the bottom of building can be used to carry out damping according to building displacement response.

This invention provides a method for determining aerodynamic loads on a model based on sparse strain measurement of a support rod, belonging to the field of aerodynamic testing technology. It solves the problem in existing wind tunnel tests where it is difficult to obtain high-precision, real-time aerodynamic loads and actual attitude changes of the model when a master balance cannot be set up. The method first determines the load space of the model under test, selects multiple load sample points, and establishes a strain-load database, which records the calculated strain values ​​at multiple preset strain measurement points on the support rod corresponding to each load sample point. Then, it trains a mapper that calculates the strain sequence to the corresponding load vector, enabling it to inversely deduce the current aerodynamic load on the model under test and the model attitude angle caused by support rod deformation based on the sparse strain sequence obtained from wind tunnel tests. This invention utilizes support rod deformation to measure the aerodynamic forces of the model, reducing trial-and-error costs, shortening the test cycle, and providing a new approach to obtaining model aerodynamic forces for masterless balance-type tests.

The embodiment of the invention provides a personnel resource allocation method and system based on real-time data driving, and belongs to the technical field of scheduling optimization. The method comprises the following steps: acquiring original behavior data of each person based on a butted process data source, and generating a real-time load vector for representing a person load state based on the original behavior data of each person; constructing a task dependence directed graph based on task management data of a to-be-executed task, and establishing a mapping relation from task nodes to personnel nodes based on the task dependence directed graph; predicting cross-regional communication delay among the personnel, and inputting the communication delay, the real-time load vector and the task dependence directed graph into a deployment model to generate at least one candidate deployment scheme; and evaluating the efficiency score of each candidate allocation scheme by adopting a heuristic search algorithm, and outputting the allocation scheme with the highest score to an execution interface. According to the invention, the real-time performance and effectiveness of personnel resource allocation in a distributed cooperation scene are effectively improved.

The present disclosure relates to a load balancing method for a distributed system, an electronic device, and a non-transitory computer-readable storage medium. The method includes: determining a multi-dimensional load vector of each of service nodes based on dimensional resource usage indicators of each of service replicas carried on the each of the service nodes in the distributed system in multiple dimensions; classifying the service nodes into multiple load intervals based on the multi-dimensional load vector and a target load vector of each of the service nodes; determining multiple candidate scheduling strategies and corresponding load balancing gains based on the multiple load intervals; and selecting, from the multiple candidate scheduling strategies, a candidate scheduling strategy with a largest load balancing gain as a target scheduling strategy, and executing the target scheduling strategy.

The invention discloses a method and device for calculating load shedding and electronic equipment. The method comprises the following steps: acquiring a parameter index vector according to a preset power failure twinborn model; the parameter index vector is an index vector representing the stability of the power failure twinborn model; constructing an economic cost objective function according to the load shedding of the power failure twinborn model; using the parameter index vector to construct a constraint condition of the economic cost objective function; and solving the minimum value of the economic cost target function according to the constraint condition to obtain a target load shedding vector. Therefore, the minimum target load shedding vector can be obtained under the condition that the stability and the economic cost of the power failure twinborn model are controlled at the same time, so that the target load shedding vector can meet the requirements of the stability and the economic cost of the power failure twinborn model at the same time, and thus the load shedding efficiency can be improved under the condition that the stability of a power system is ensured. And the economic cost required by load shedding is reduced.

The invention relates to the technical field of task scheduling, in particular to a store patrol task dynamic allocation method based on load balancing. Comprising the steps of generating a task vector through a shop patrol task processing request; generating a node load vector through the mobile terminal state data; constructing a directed attribute graph, calculating transfer parameters, generating a space transfer matrix, and constructing a feature tensor; inputting the feature tensor into an evaluation network for processing, and outputting a score matrix; outputting candidate sites through a search algorithm; calculating a load variance variable quantity and an out-of-limit probability according to the candidate sites; inputting the load variance variable quantity and the out-of-limit probability into a multi-objective optimization function for calculation, and outputting a distribution strategy; and analyzing the distribution strategy, and generating a scheduling instruction containing a node routing sequence. According to the method, chain structured fusion is carried out through probability deduction of high-dimensional data, search pruning of physical boundaries and multi-target game of global dimensions, and long-term stability and dynamic balance of cluster load distribution are facilitated.

The invention discloses a multi-stage self-supporting constraint topological optimization method and system combining projection and a virtual pyramid. The method comprises the following steps: initializing a design domain and generating a non-uniform gradient initial density field; applying a total load vector formed by superposing a bearing working condition and a guide load, and delimiting a key protection area; calculating the projection support quantity of each grid unit and applying punishment; constructing a multi-layer virtual pyramid support domain which extends downwards in a conical manner, calculating a virtual pyramid support quantity and applying cross-layer penalty; superposing the two penalty terms to the original sensitivity to obtain corrected sensitivity; and iteratively updating the design variables and carrying out protective correction on the key region until convergence and outputting an optimized structure. Through a multi-stage self-supporting constraint mechanism, the overhanging defect in a traditional topological optimization structure is effectively eliminated, addition of a large number of external supports in additive manufacturing is avoided, material consumption and post-treatment difficulty are remarkably reduced, and collaborative improvement of mechanical properties and manufacturability is achieved.

The application discloses a cross-cloud resource elastic scheduling method and system for management system development, relates to the technical field of resource scheduling, and solves the technical problems of cross-cloud edge resource static configuration and dynamic business demand mismatch, task scheduling and resource elastic expansion independent of each other, difficulty in collaborative optimization, lack of cross-cloud unified perception of container stretching mechanism, and rigid instance adjustment. Through a real-time load vector, short-time load accurate prediction is completed, and combined with service level agreement constraints, overall resource demand is accurately calculated. The existing resource quota, predicted resource demand and edge node cooperative cache ratio are included in the unified decision variable, a multi-objective optimization model is built, and balanced and reasonable allocation between resource domains is realized. Based on the optimization result, the expected number of resource instances is determined, and the PID controller is used to smoothly regulate the number of container and virtual machine instances. An improved differential polling scheduling mechanism is deployed at the network outlet, and the scheduling granularity is dynamically adjusted in combination with the business message characteristics and the resource load state.

A data processing method including receiving obtaining multidimensional data including a plurality of parameters of a wafer, generating a principal component and a loading vector based on the multidimensional data, wherein the principal component represents dimensionally reduced characteristics of the of the multidimensional data and the loading vector represents a weight of the principal component to the multidimensional data, generating a guide line based on a first group of parameters among the plurality of parameters and a second group of parameters among the plurality of parameters, and generating an analysis result of a parameter among the plurality of parameters of the wafer based on the guide line and the loading vector.

The embodiment of the invention discloses a method, a device, a medium and equipment for analyzing the attitude of a rake arm of a trailing suction dredger, and the method comprises the following steps: taking a hull and the rake arm of the trailing suction dredger as rigid bodies, and taking a wave compensator of the trailing suction dredger as a flexible body; a multi-body system block matrix coupling equation of the trailing suction hopper dredger is constructed with the fluid-solid action additional mass of the dredger body and the trailing arm as the rigid body additional mass; acquiring an external load vector acting on the trailing suction dredger; and solving the multi-body system block matrix coupling equation of the trailing suction dredger based on the external load vector to obtain the rake arm posture of the trailing suction dredger. According to the embodiment of the invention, the analysis precision of analyzing the attitude of the rake arm can be improved.

This invention relates to the field of intelligent asset supervision technology, specifically to an asset management method and system based on big data, comprising the following steps: collecting time-series data of operational status and environmental stress parameters using a sensor array; constructing a multidimensional feature correlation matrix based on covariance analysis and calculating a dynamic loss index; spatially mapping this index with the task load vector to be assigned to generate an asset-task matching score; and finally comparing the score with a dynamic judgment benchmark value to output an adaptive allocation instruction. In this invention, by capturing the multidimensional characteristic fluctuations of physical entities in real time, a nonlinear loss assessment system reflecting the actual load pressure is established, solving the problem of delayed asset status perception caused by the reliance on static ledgers in traditional methods. The dynamic adaptation algorithm accurately calculates the fit between asset capabilities and task requirements, maximizing resource allocation efficiency while ensuring equipment operational safety, effectively extending the service life of high-value assets, and reducing operation and maintenance costs.

This application discloses a high-speed data acquisition and processing method and system for PLC based on FPGA. First, it constructs a detailed real-time heat map and load vector by real-time sensing of multi-point temperature, data input rate, and task queue status on the FPGA chip. Based on this real-time information, it accurately predicts future power consumption and potential hotspot areas to optimize the modeling of internal thermal coupling effects and overcome the shortcomings of traditional models that underestimate peak power consumption. Finally, based on the prediction results, it intelligently generates task execution plans and refined clock gating masks, achieving proactive and adaptive management of FPGA resources. This approach significantly improves the operational stability and reliability of FPGA in high-speed data acquisition and processing scenarios, thus laying a solid foundation for precise industrial control and intelligent decision-making.

This invention discloses a multimodal perception-enhanced simulation method and system for heavy-duty transport vehicle operations, relating to the field of traffic simulation technology. The method includes: constructing a multimodal digital twin scene and extracting a three-dimensional scene state matrix; based on the three-dimensional scene state matrix and a multi-body flexible coupled dynamic model of the heavy-duty transport vehicle, outputting real-time pose, cargo flexible deformation field, and tire load vector; obtaining enhanced unified bird's-eye view perception features based on the three-dimensional scene state matrix and real-time pose; using an improved von Neumann optimization algorithm to iteratively solve for the enhanced unified bird's-eye view perception features, cargo flexible deformation field, and tire load vector, outputting the optimal operation simulation control decision; and continuously monitoring real-time data to perform operation simulation and safety situation assessment. This invention solves the problems of perception distortion in heavy-duty transport simulation, inaccurate calculation of rigid-flexible coupling, and the tendency for control decisions to fall into deadlock under complex constraints in existing technologies.

The application belongs to the technical field of strain field inversion of structural health monitoring, and provides a displacement reconstruction method introducing tensor component hybrid theory and a measuring point layout optimization method, comprising: first, establishing a four-node inverse shell element mapping function, deducing an element strain-displacement conversion relationship, then introducing a tensor component hybrid theory to construct a transverse shear strain function meeting a coordinated deformation, then based on a weighted least square criterion, using measured strain data to preliminarily reconstruct a displacement field, then expanding sparse measuring point strain data through a radial basis function to generate virtual strain data, optimizing a pseudo stiffness matrix and a pseudo load vector, and improving the displacement reconstruction accuracy, finally taking the displacement reconstruction error and the number of strain measuring points as fitness functions, using a non-dominated sorting algorithm to optimize the measuring point layout, and obtaining an optimal scheme considering the accuracy and the layout efficiency. The application can improve the displacement reconstruction accuracy under sparse measuring points, and considers the reconstruction accuracy and the layout efficiency.

The application provides a low-voltage distribution box data real-time acquisition method and system, and relates to the technical field of data processing.The method comprises the following steps: determining the spatial correlation weighting coefficients corresponding to the standardized meteorological load vector, the micro-environment load vector and the distribution box state load vector respectively; mapping the standardized meteorological load vector, the micro-environment load vector and the distribution box state load vector to the three vertices of an equilateral triangle respectively to obtain the spatial feature weight of each load vector; fusing each load vector and the spatial correlation weighting coefficient corresponding thereto, applying regularization processing to the linear combination process by using the spatial feature weight to form an environmental load matrix containing spatial topological relationship; and based on the geometric characteristics of the environmental load matrix, establishing a spatio-temporal evolution early warning model of a fusion diffusion convolution operator to predict abnormal points.The application can effectively predict abnormal points and identify the coupling propagation path of potential faults.