69 results about "Network simulation" patented technology

The invention discloses a steam pipe network decoupling steady-state optimization method and device, a medium and a program product, and relates to the technical field of smart city guarantee. The method comprises the following steps: determining node pressure distribution data and flow distribution data when a mass and momentum balance condition is satisfied according to fluid distribution data of a pipe network simulation model corresponding to a physical structure and an actual working condition of a steam pipe network; and determining node enthalpy data meeting an energy balance condition. Determining a condensation phase change node according to the node pressure distribution data and the node enthalpy data, associating the steam enthalpy of the condensation phase change node to a saturation state under the current pressure, and updating a current fluid distribution parameter according to the determined condensation water volume, and taking the parameters of the pipe network simulation model finally reaching the dynamic balance state as the operation state parameters of the steam pipe network under the target operation condition. The problem that the steam pipe network parameters cannot be accurately determined in the prior art can be solved, and the running state parameters of the steam pipe network can be accurately determined.

A search agent training system includes a trainer device. The trainer device includes a trainer network simulation of variable size, which further includes at least one selectable action, at least one selectable node, and a trainer knowledge base, which further includes at least one selectable action outcome probability value. The trainer knowledge base is populated by a quantification system. The trainer device receives an incoming action message from a search agent device including a selected action and a selected node. Next, based upon: a resulting action outcome probability value, the selected action, and the selected node, a resulting observation and a resulting reward is sent to the search agent device. The trainer device blocks node count report messages to the search agent device from the trainer device.

The invention discloses an internet of things simulation method, device and equipment, a storage medium and a product, and relates to the technical field of simulation, and the internet of things simulation method comprises the following steps: responding to a simulation execution request, running a communication process in a function agent equipment node and a simulation virtual environment, and obtaining a communication result, the function proxy equipment nodes comprise static behavior nodes and dynamic behavior nodes, and the dynamic behavior nodes can adaptively adjust communication parameters; and visually displaying the communication result on a graphical interface. According to the method and the device, after the simulation execution request is received, the communication process is operated in the function agent equipment node and the simulation virtual environment to obtain the communication result, and the communication result is visually displayed on the graphical interface; and the dynamic behavior nodes can adaptively adjust communication parameters, so that the real effect of the adaptive algorithm can be verified in real time.

The invention provides a gas pipe network operation state simulation method and system based on digital twinning, and relates to the technical field of gas pipe network simulation, and the method comprises the steps: building a gas pipe network digital twinning model, carrying out online simulation, and automatically triggering safety early warning according to a preset evaluation rule; special simulation is started in the model after early warning, and the monitored pressure and flow data are combined to analyze an abnormal propagation direction and a sequential relationship so as to position a leakage source and dynamically calculate a leakage rate; simulating a leakage gas diffusion process to generate a dynamically updated three-dimensional concentration distribution map, identifying an explosion limit area and generating an explosion risk grade map; a decision support scheme containing valve operation, emergency resource allocation and public evacuation range is generated by integrating related information, and is pushed to a supervision terminal to realize graded alarm and visual display, so that accurate positioning, diffusion simulation and risk assessment of gas pipe network leakage can be realized, and scientific decision support is provided for emergency disposal of gas pipe network leakage.

The application discloses a target node processing method and device, a computer program product and an electronic device. It relates to the field of network security or other related fields. The method comprises: obtaining network simulation data, and deploying a simulation cluster according to the network simulation data, wherein the simulation cluster is used for network simulation; in the case of network simulation of the simulation cluster, assigning simulation requests in the network simulation process to M target nodes of the simulation cluster, and detecting the M target nodes, wherein the detection type at least includes one of the following: target node running state detection and target node resource state detection; if there are N target nodes in an abnormal state, the N target nodes are adjusted and processed, and an alarm information is generated, wherein the alarm information is used to prompt the attention of the target node. Through the application, the problem of relying on a single target node and the unbalanced load between target nodes in the network target range in the related art is solved.

The embodiment of the invention provides a network simulation method and device, equipment and a storage medium. In the method, firstly, a reference data sequence is obtained, and the reference data sequence reflects the state change of a reference network within a period of time; and then, at least based on first reference data corresponding to the first moment in the reference data sequence, utilizing the target model to generate prediction network data corresponding to the second moment. The target model is used for simulating the state change of the target network. The target model is then updated based on a comparison between the predicted network data and second reference data in the reference data sequence corresponding to the second moment in time. In this way, the predicted network data can be generated using the target model, thereby improving the efficiency and accuracy of network simulation.

This invention discloses a method and system for constructing a constrained feasible path set based on an urban rail transit network model. The method includes the following steps: loading basic information on urban rail transit system stations and lines; analyzing the spatial logical relationships between the network, stations, and lines based on the characteristics of the urban rail transit network to construct a spatial topology model of the urban rail transit system network; and using a constrained breadth-first search algorithm to search for a set of feasible paths between OD pairs that satisfy the maximum number of transfers constraint, and selecting the shortest path between OD pairs. This invention can search for a set of feasible paths between OD pairs in an urban rail transit network, providing a basis for building a rail transit network simulation platform and analyzing passenger flow characteristics.

This invention provides a quantitative calculation method for reservoir throat length based on constant-rate mercury intrusion porosimetry (CRMP) experiments, belonging to the field of oil and gas field development data information processing technology. The method includes: calculating the endpoint values ​​of the mercury intrusion intervals of each throat level based on CRMP experimental data; determining the mercury intrusion saturation of each throat level based on the endpoint values ​​of the interval radius and the mercury intrusion curve data determined by CRMP experiments; obtaining the mercury intrusion volume of each interval based on the calculated mercury intrusion saturation and the pore volume of the rock sample; calculating the mercury intrusion volume of a single throat interval using the interval mercury intrusion volume and the number of throats; and finally, quantitatively calculating the length of each throat level based on the throat radius. This invention provides a quantitative calculation method for throat length, offering a new technical approach for determining reservoir throat length and providing strong data support for research on reservoir throat length and its variation patterns, reservoir throat geometry, and reservoir throat network simulation.

This invention discloses a method and system for coordinated management of oil and gas pipeline transportation at a joint station, relating to the field of oil and gas field gathering and transportation technology. The system consists of several functional modules, including: a status identification module, which collects multi-dimensional data from joint station equipment via edge computing nodes, identifies real-time equipment efficiency curves online, and generates real-time equipment status sequences; a pipeline network coupling construction module, which constructs a nonlinear hydrothermal coupling mechanism model of the pipeline network based on the real-time equipment status sequences through a cloud-based digital twin platform, and performs online self-correction to obtain a global pipeline network simulation model of real-time field conditions; and a two-layer hierarchical optimization algorithm, which, based on the global pipeline network simulation model and combined with historical inflow data, outputs the optimal pressure and temperature setpoints for each joint station in the future period; wherein the two-layer hierarchical optimization algorithm includes an upper-layer global energy consumption minimization optimization layer and a lower-layer local predictive control tracking layer.

This invention belongs to the field of energy simulation technology and relates to an energy flow network simulation system and method for steel enterprises. It includes: a system configuration module for configuring parameters based on user-inputted information and forming a structured configuration data package; a front-end operation module for configuring a visual interactive interface based on the configuration data package; generating a Gantt chart based on pre-set production and maintenance plans; and drawing a dynamic energy flow diagram based on user-defined equipment and energy nodes; and a back-end service module for calculating energy prediction results based on the Gantt chart, dynamic energy flow diagram, and configuration data package using a pre-set production and consumption model, and performing scheduling optimization when energy prediction results are unbalanced to obtain an energy scheduling balance result. This invention achieves collaborative simulation of production and energy, more intuitively displays the energy balance process, provides a more comprehensive simulation platform for the steel industry, and facilitates systematic management by enterprises.

The invention discloses a main and distribution network fusion method and system based on active power distribution network modular modeling, and the system comprises an active power distribution network modular modeling module which is used for carrying out the topology analysis of a power supply network of an active power distribution network, and automatically generating a detailed power supply network small system simulation model and an equivalent load simulation model of a 220kV transformer substation below a 110kV bus side; the main and distribution network model mapping relation dictionary management module is used for establishing a mapping relation dictionary among a transformer substation name in an offline simulation calculation model adopted by main network simulation, a transformer substation name in an online simulation calculation model adopted by load modeling, a 110 kV / 35 kV transformer substation, a distribution line and a load node name; the main distribution network model fusion module is used for automatically splicing the detailed power supply network small system simulation model or the equivalent load simulation model of the active power distribution network with the main network simulation calculation model; the main and distribution network joint simulation solving module is used for performing main and distribution network integrated joint simulation analysis; and the precision, efficiency and flexibility of joint simulation of the main network and the distribution network are improved.

The application provides a kind of safety device based on mine ventilation network simulation regulation and control and its use method, belongs to underground safety equipment technical field, two groups of regulation and control air duct are installed on the side of frame, two transmission modules are arranged in the middle of two groups of regulation and control air duct, the data acquisition and communication module that can slide and lift is clamped between two transmission modules, fixed module is installed on the frame and regulation and control air duct, regulation and control air duct is divided into three sections, and dust removal module is installed in each section, and wind speed detector is arranged at the rear of dust removal module.The application realizes the comprehensive perception, intelligent regulation and control and convenient maintenance of mine ventilation system, accurately constructs digital twin model through mobile acquisition module, provides data basis for intelligent analysis, and the controller can automatically optimize and adjust the fan, responds quickly, the unique automatic landing maintenance mechanism can alarm and land to the ground when the air duct is blocked, so that the maintenance work does not need to climb, is safe and efficient, significantly improves the system reliability and safety.

The invention discloses a Petri network-based event handling process optimization method and system, and relates to the technical field of information commanding, and the method comprises the steps: S1, generating Petri networks for handling different types and risk events according to an event handling process and a plan; s2, constructing a random Petri net according to the time data of each activity and the transition time parameter of the Petri net when the flow runs each time; s3, carrying out numerical calculation on the system based on a random Petri network technology, analyzing nodes needing to be improved and promoted in the process, and proposing a scheme for improving the efficiency of the process; s4, simulating the improvement scheme based on a Petri network simulation technology, and evaluating an improvement effect; and S5, based on the Petri network, evaluating the time efficiency of information, command and action departments participating in cooperative command in the information-oriented cooperative process. According to the method and the system provided by the invention, an automatic emergency event disposal process evaluation and optimization scheme which is matched with a system environment of a service execution mechanism and fully utilizes big data can be provided for the service execution mechanism.

The invention discloses a light hydrogen storage multi-energy coupled micro-energy grid simulation modeling and control method, which comprises the following steps of: constructing a photovoltaic power generation system model, performing photovoltaic maximum power tracking by the photovoltaic power generation system model through a Boost circuit, and converting solar energy into electric energy; an energy storage system model is constructed, the energy storage system model adopts a bidirectional DC / DC voltage converter to adjust the current flow direction of a current device of the converter, and bidirectional adjustment of charging and discharging is achieved; a hydrogen production and storage system model is constructed, the hydrogen production and storage system model comprises an electrolytic hydrogen production power control circuit, and the electrolytic hydrogen production power control circuit achieves electrolytic hydrogen production with constant power through a chopping voltage reduction circuit constructed by a Buck circuit. According to the method, a systematic and complete photovoltaic green electricity hydrogen production system model can be constructed through simulation, so that quantitative analysis of energy flow among multiple links and conversion efficiency of the energy flow are expected, and technical support is provided for scientific production research such as energy constant volume configuration and operation optimization control of a polymorphic power distribution micro-energy grid.

The invention discloses a hydraulic dynamic simulation method and system for a heat supply pipe network, and relates to the technical field of heat supply pipe network simulation. The system comprises a pipe network topology modeling module, a state monitoring and updating triggering module, a parameter iteration and chain verification module and a local hydraulic dynamic simulation module. The pipe network topology modeling module is used for disassembling the heat supply pipe network and constructing a pipe network topology model based on the physical connection relation of the components; the state monitoring and updating triggering module collects assembly operation state data in real time, monitors and identifies effective state change signals, positions a target assembly and an association range and triggers an incremental updating process. The parameter iteration and chain verification module executes targeted parameter iteration on a target and an associated component based on a preset parameter mapping relation; and the local hydraulic dynamic simulation module constructs a closed sub-model based on the iterated local parameters and executes hydraulic dynamic simulation calculation, so that the problems of full-amount reconstruction and poor real-time performance in the prior art are solved.

The invention discloses an ad hoc network dynamic topology routing optimization method and system based on a Deepseek lightweight large model, and the method specifically comprises the steps: collecting the information of each node in an ad hoc network, and standardizing the node information into a feature vector format which can be analyzed by the Deepseek model; the standardized node feature vectors are input into a Deepseek model, and the topological structure change trend in a short time in the future is predicted; generating a routing path selection strategy based on a topology change trend predicted by the model, testing in an ad hoc network simulation platform, and adjusting feature weight distribution of the model according to a test result; and deploying the adjusted strategy to an actual network, collecting routing performance data in real time as a new sample input model, iteratively updating the model, and improving the accuracy of topology prediction and routing optimization. According to the method, a response can be quickly made to a new network topology, the convergence speed is increased, accurate routing selection can be realized, node energy consumption is reduced, and the life cycle of the ad hoc network is prolonged.

The invention provides a test method and device based on a dynamic network environment, and relates to the technical field of vehicle-mounted application test.The method is applied to electronic equipment, the electronic equipment is provided with an automatic test tool, and the framework of the automatic test tool comprises a network simulation layer, a test case execution layer and a test verification layer; the method comprises the steps that a test case execution layer obtains a target test case used for testing a target vehicle-mounted application; the test case execution layer analyzes the target test case, and generates M page operation instructions in one-to-one correspondence with the M page operations and N network switching instructions in one-to-one correspondence with the N network requirements; the test case execution layer sequentially executes the M page operation instructions and the N network switching instructions according to the operation time sequence so as to test the target vehicle-mounted application in the target abnormal network environment indicated by at least one network requirement in the N network requirements.

The invention discloses an alternating current power grid simulation source and a control method thereof. The control method comprises the following steps: acquiring voltage of tested equipment and current flowing through filtering impedance; enabling the voltage of the tested equipment and the current flowing through the filtering impedance to respectively pass through a broadband phase compensation link to obtain compensated voltage and current; and generating a control signal based on the compensated voltage and current so as to control a switching tube of the converter and simulate the broadband impedance characteristic of the power grid. According to the invention, broadband phase compensation is carried out on the sampled voltage and current through the broadband phase compensation link, so that the problem that the accuracy of broadband impedance characteristic simulation is restricted by sampling delay and filtering delay of a feedback loop of the ACSource controlled by the traditional virtual impedance is avoided, and the accuracy of the broadband impedance characteristic simulation of the ACSource is improved.

The application discloses an arrayed micro-channel radiator heat flow coupling simulation method, system, equipment and medium, wherein the method comprises the following steps: performing three-dimensional computational fluid dynamics simulation on multiple working conditions of a single micro-channel radiator, generating input samples through Latin hypercube sampling and performing batch simulation, extracting flow field data to form a high-dimensional simulation dataset; training element flow characteristic parameter data through a convolutional neural network and performing dimension reduction processing, so that a reduced-order model is constructed; exporting the trained reduced-order model into a one-dimensional heat network simulation solver recognizable file to form a callable reduced-order element model; based on an actual pipe network of an arrayed system, a one-dimensional pipe topology is constructed, and the reduced-order element model is connected to each branch as a core heat exchange element; a conversion model is constructed, a simulation step is set, and steady-state heat flow coupling simulation is performed, and the pressure drop, temperature distribution and flow distribution of each branch are output. The application can significantly improve the simulation speed of the arrayed system, and support rapid design iteration and parameter optimization.

The application discloses a high-speed train carriage modeling method, which is used to solve the problem that the prior art cannot accurately simulate network of high-speed train carriage. The method comprises the following steps: obtaining a high-speed train line on which a to-be-modeled high-speed train carriage runs; determining a car body model of the to-be-modeled high-speed train carriage, and determining a carriage width of the to-be-modeled high-speed train carriage according to the car body model; establishing a corresponding planar vector graph of the to-be-modeled high-speed train carriage in simulation software according to the carriage width and the high-speed train line; determining a carriage height of the to-be-modeled high-speed train carriage according to the car body model; and establishing a corresponding 3D model of the to-be-modeled high-speed train carriage in the simulation software according to the carriage height and the planar vector graph.

The invention relates to a weak network environment simulation method based on a data packet, the method is applied to a weak network simulation system deployed on a Windows platform, and the method comprises the following steps: providing network connection sharing through the Windows platform, so that mobile equipment is connected to the Windows platform through the network connection sharing; the method comprises the following steps: capturing a network data packet forwarded by a Windows platform based on a data forwarding mechanism and a bottom layer data packet interception mechanism of the Windows platform; based on a preset filtering mode, performing flow direction judgment on the captured network data packet so as to distinguish a client-to-server direction and a server-to-client direction; injecting the judged network data packet into a network for degradation; the network degradation comprises at least one of packet loss, delay and jitter; and re-injecting the data packet which is injected into the network for degradation processing into the network stack for forwarding.

The invention discloses an unmanned aerial vehicle dynamic network simulation optimization system and method, and belongs to the technical field of unmanned aerial vehicle wireless communication. Comprising a dynamic network simulation module, a hybrid prediction model module and an online prediction and evaluation module, the use method comprises the steps of starting an unmanned aerial vehicle dynamic network simulation optimization system, generating an unmanned aerial vehicle network adjacency matrix, simulating a node failure condition, generating multi-index coupling data, introducing channel interference simulation, setting communication delay simulation, starting a hybrid prediction model module, and utilizing an online prediction and evaluation module. By means of the high-precision efficient communication link quality prediction method adaptive to the unmanned aerial vehicle cluster, the connection probability periodic fluctuation caused by the movement of the unmanned aerial vehicle cluster is accurately reflected, and a simulation environment closer to reality is provided for the analysis and optimization of the network performance of the unmanned aerial vehicle.

The invention discloses an alternating current power grid simulation source and a control method thereof. The control method comprises the following steps: acquiring an output voltage of a converter; enabling the output voltage of the converter to pass through a first impedance ratio link to obtain a feedback voltage; a target control voltage is obtained after the virtual electromotive force passes through a second impedance ratio link; and obtaining a modulation voltage according to the feedback voltage and the target control voltage, so as to generate a control signal, control a switching tube of the converter and simulate the broadband impedance characteristic of a power grid. According to the invention, the impedance ratio component is respectively introduced into the acquisition voltage and the virtual electromotive force, and a current loop in a traditional control method is canceled in a mode of obtaining the modulation voltage through the target control voltage and the feedback voltage, so that the tracking error of the current loop on the broadband component is reduced, and the virtual impedance characteristic of a non-working frequency band is ensured.

The present application relates to a kind of steam pipe network simulation system optimization scheduling method based on digital twinning, comprising the following steps: S1, the real-time dynamic data information of entity steam pipe network system is obtained;S2, the real-time dynamic data information obtained is input into digital twinning steam pipe network simulation system, and digital twinning steam pipe network simulation system carries out virtual synchronous iteration with entity steam pipe network system according to real-time dynamic data information, and outputs scheduling scheme;S3, decision maker decides whether to execute according to experience and actual production condition;S4, after scheduling scheme is executed, the data of entity steam pipe network system is collected by real-time monitoring system, and the real-time dynamic data information collected is transmitted to digital twinning steam pipe network simulation system, to update and improve digital twinning steam pipe network simulation system.The regulation and control method provided by the present application can realize the synchronization and interaction of physical entity and virtual model, and give steam optimization scheduling scheme from the point of view of operating cost.

The application discloses a hydraulic pipe network simulation system, and relates to the technical field of pipe network simulation, which comprises the following steps: establishing a connection relation graph of nodes and pipe sections; determining a peak array, and deriving an augmented incidence matrix, a basic incidence matrix, a basic loop matrix, a tree branch matrix, a residual branch matrix, a tree branch vector and a residual branch pipe section vector; inputting corresponding parameters; adopting a basic loop method optimized by a magnetotactic bacteria method to perform first layer iteration, and calculating a residual branch pipe section flow increment iteration step; adopting an LM algorithm, and combining with the magnetotactic bacteria method to perform second layer iteration and calculate an end point flow iteration step; adopting an LM algorithm modified by a trust region, and combining with the magnetotactic bacteria method to perform third layer iteration and calculate a controlled variable iteration step; and calculating and outputting hydraulic properties of each node and pipe section. The application solves the problem that the existing iteration algorithm causes singular values due to too many control points or numerical solutions cannot converge due to improper initial value setting.

Embodiments of the present disclosure provide a network simulation method and apparatus, a device, and a storage medium. The method comprises: first acquiring a reference data sequence, the reference data sequence reflecting a state change of a reference network within a period of time; next, on the basis of at least first reference data in the reference data sequence corresponding to a first moment, using a target model to generate predicted network data corresponding to a second moment, the target model being used for simulating the state change of the target network; and then updating the target model on the basis of a comparison between the predicted network data and second reference data in the reference data sequence corresponding to the second moment. In this way, the predicted network data can be generated by using the target model, thereby improving the efficiency and accuracy of network simulation.

The invention provides a universal satellite remote sensing atmospheric roof radiation simulation method, which belongs to the technical field of remote sensing image data processing, and comprises the following steps: (1) calculating latitude and longitude and observation geometric information of a transit area; (2) constructing global environment parameter background field data; (3) respectively performing radiation simulation on the ocean area and the land area in the transit area; (4) respectively calculating the atmospheric top radiance of the ocean area and the atmospheric top radiance of the land area; and (5) splicing the atmospheric top radiance data of the ocean area and the atmospheric top radiance data of the land area to obtain the atmospheric top radiance data of the whole image. According to the universal satellite remote sensing atmosphere top radiation data simulation method, the reliability of a physical model and the modeling capacity of a neural network are combined, the problem that existing satellite remote sensing atmosphere top radiation simulation is low in reliability is solved, and compared with full-data neural network simulation, consumed time is shorter.

The invention discloses a risk sensitive causal strategy optimization method oriented to continuous time decision. The method comprises the following steps: 1) constructing a continuous time process of each patient based on a discrete time sequence observed for medical diagnosis and treatment processes of different patients in a medical scene; 2) constructing a Fokker-Planck equation residual error based on a continuous time dynamic model of an SDE modeling treatment effect process, and alternately training a treatment effect regression network and a discriminator through a minimum-maximum residual error optimization framework; 3) simulating and generating treatment effect anti-fact trajectories under different continuous time treatment strategies by using the treatment effect regression network, and estimating corresponding anti-fact distribution; and under the budget constraint and the quantile type security constraint, searching to obtain an optimal continuous time treatment strategy meeting the risk constraint. According to the method, the average effect and the tail risk can be simultaneously described in a continuous time environment, and safe and steady optimization of a medical intervention strategy is realized.

The application discloses a kind of hydraulic thermal coupling simulation methods of steam pipeline secondary windward delay correction, belong to steam pipe network simulation technical field.The method includes: establishing the water power-thermal coupling control equation group including condensation phase change source term;Space is dispersed using staggered grid, and space is dispersed using secondary windward format to momentum equation, balance precision and stability are handled in combination with delay correction;Pressure-enthalpy is used as main required solution variable, temperature and density are accurately updated after each iteration by calling IAPWS-IF97 property library, form strong coupling closed loop;With condensate water total amount stability and system mass conservation as convergence criterion.The application significantly improves the prediction accuracy of key parameters such as transient pressure peak, enhances the adaptability of complex working conditions, and provides a reliable simulation tool for safe and economic operation of pipe network.

The application provides a large-scale coupling network simulation generation method and system based on three-dimensional geological structure, and belongs to the field of geological modeling and numerical simulation. The method comprises the following steps: integrating multi-source exploration data and constructing a structured geological database; performing geological interpretation based on the database to generate a stratum contour line; reconstructing three-dimensional entity models of strata, main faults and roadways respectively by using a triangular mesh modeling method based on the contour line, and coupling to generate a comprehensive three-dimensional hydrogeological structure model; converting model data into a standardized format compatible with multi-physical field simulation software through a special data interface and importing the model data into the simulation environment, giving the model physical properties, setting boundary conditions and coupling mechanisms, and completing large-scale coupling network simulation. The application solves the problems of insufficient multi-source data fusion, model distortion caused by artificial generalization and the fragmentation of modeling and simulation processes in traditional methods, and significantly improves the accuracy of the geological model and the reliability of the simulation analysis.