174 results about "Network simulation" patented technology

The invention relates to the technical field of software development management, in particular to an internet software development management system and method. The method comprises the following steps: collecting an original function demand set and carrying out function clustering analysis; extracting and classifying demand function features and generating independent demand units; carrying out dependency analysis on the independent demand units; constructing a dependency relationship set and a demand logic structure; the method comprises the following steps: generating a demand framework matrix, carrying out organization network simulation to obtain a demand connection network, carrying out code reverse evolution according to the demand connection network, carrying out basic parameter matching to obtain evolution basic parameters, carrying out a pressure simulation test on the evolution basic parameters to generate a pressure test result, and capturing resource pressure defects based on the pressure test result. And optimizing and adjusting the evolution basic parameters to generate optimized development parameters. According to the invention, a more efficient Internet software development management method is realized.

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include generating a digital twin network simulation of a physical computer network controlled through a software-defined-network (SDN) control system. The acts also can include training a routing agent model on the digital twin network simulation using a reinforcement-learning model on traffic that flows through nodes of the digital twin network simulation. The routing agent model includes a machine-learning model. The acts additionally can include deploying the routing agent model, as trained, from the digital twin network simulation to the SDN control system of the physical computer network. Other embodiments are described.

The invention discloses an internet of things data stable transmission optimization method, system and device and a medium, and relates to the field of internet of things, and the method comprises the steps: generating a plurality of test scenes through a multi-network simulation model; inputting the plurality of test scenes into the target Internet of Things to obtain Internet of Things test data; inputting the Internet of Things test data into the transmission performance prediction model to obtain performance prediction data; inputting the performance prediction data into a data mining and analysis model to obtain data mining information; generating a data stability analysis report according to the data mining information; and determining an abnormal point according to the data stability analysis report to form a detection and maintenance scheme. The stability, the reliability and the operation and maintenance efficiency of the Internet of Things system are effectively improved, and the method has wide application prospects and remarkable engineering practice values.

The invention relates to the field of heat supply network analogue simulation, and particularly discloses a regional heat supply network dynamic simulation method and system, a terminal and a medium, the method comprises the following steps: constructing a hydraulic model semi-analytical expression and a thermal model semi-analytical expression of a pipeline in a regional heat supply network, and according to the pipeline momentum conservation and the node mass conservation, calculating the thermal model semi-analytical expression of the pipeline in the regional heat supply network; constructing semi-analytic coefficient recursive relation linear equations, and respectively calculating semi-analytic coefficients of a hydraulic model semi-analytic expression and a thermal model semi-analytic expression through the two semi-analytic coefficient recursive relation linear equations according to initial conditions and boundary conditions of the pipe section; the calculated semi-analytic coefficient meets the condition that the truncation error is not greater than a truncation error threshold value; and substituting the semi-analytic coefficient into the semi-analytic expression to obtain a semi-analytic calculation result of each pipe section of each pipeline under all time steps. According to the method, non-iterative calculation of the PDAEs is realized, the calculation complexity is reduced, the simulation efficiency is improved, and the solution continuity can be ensured.

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.

The invention discloses an EUR prediction model construction method and system of a tight gas reservoir gas well, and relates to the field of oil and gas field development technology and artificial intelligence cross technology, and the method comprises the steps: collecting multi-source data; screening the multi-source data by adopting a three-level feature screening method, and removing redundant features; constructing a heterogeneous integrated model comprising a plurality of machine learning models, inputting the screened features into the heterogeneous integrated model to carry out EUR prediction, obtaining respective prediction errors of different machine learning models, correcting each EUR prediction result based on the prediction errors in combination with a material balance equation MBE, a yield attenuation model DCA and fracture network simulation, and carrying out EUR prediction. And carrying out weight distribution on each machine learning model after the EUR prediction result is corrected by adopting an error reciprocal weighting method to generate a final combined EUR prediction model. According to the method, an optimization strategy combining data driving and physical constraint is adopted, and the precision and reliability of EUR prediction are improved.

The invention provides a shunting network simulation model construction method and system for a liquid cooling cold plate, and the method comprises the steps: S1, obtaining the distribution positions of IT equipment elements, building a two-dimensional IT simulation plane, S2, obtaining the constraint conditions of the cold plate, building a two-dimensional network simulation plane, carrying out the heat source grade marking of the two-dimensional network simulation plane, and carrying out the heat source grade marking of the two-dimensional network simulation plane. The method comprises the following steps: performing unit division on a two-dimensional network simulation plane and performing shunting network connection in a step S3 to generate a plurality of three-dimensional shunting network models, performing analogue simulation in a step S4, performing discrimination operation, executing a step S5 or a step S6 based on the discrimination operation, if the step S5 is executed, generating a plurality of improved three-dimensional shunting network models based on a shunting improved model, and if the step S5 is executed, performing shunting network connection on the improved three-dimensional shunting network models. And S4, if the step S6 is executed, sorting output is carried out on the three-dimensional shunting network model based on the judgment operation, a designer can refer to the three-dimensional shunting network model to design the shunting network of the liquid-cooling cold plate, and the research and development rate is improved.

The invention discloses a self-adaptive distributed network integration system and method for virtual and real unmanned aerial vehicle cooperation, and relates to the technical field of unmanned aerial vehicle control, the system comprises a central control plane and at least one node agent, the central control plane comprises a global identity manager configured and distributed with globally unique network identity information, recording and recovering the network identity information; the network topology and state manager is configured to generate a virtual and real network state view, responds to query and issues a network simulation instruction to the node agent; the distributed network coordinator is configured to decide and coordinate the node agents to construct a cross-host logic two-layer network domain; the security policy manager is configured to define and store a network access control policy of the virtual unmanned aerial vehicle; the adaptive distributed network integration system and method aim to realize physical presentation of the virtual unmanned aerial vehicle on the network level, so that the virtual unmanned aerial vehicle can directly communicate with and collaboratively work with a real unmanned aerial vehicle in the same network plane.

The invention provides a safety device based on mine ventilation network simulation regulation and control and a use method thereof, and belongs to the technical field of underground safety equipments.The side portion of a frame body is provided with two regulation and control air channels, two transmission modules are arranged between the two regulation and control air channels, and a data acquisition and communication module capable of sliding and ascending and descending is clamped between the two transmission modules; fixing modules are installed on the frame body and the regulation and control air channel, the regulation and control air channel is divided into three sections, a dust removal module is installed in each section, and an air speed detector is arranged on the rear portion of each dust removal module. Comprehensive perception, intelligent regulation and control and convenient maintenance of the mine ventilation system are achieved, a digital twinborn model is accurately constructed through the mobile acquisition module, a data basis is provided for intelligent analysis, the controller can automatically optimize and adjust a fan, the response is fast, an original automatic landing maintenance mechanism is adopted, and the maintenance efficiency is improved. When the air duct is blocked, an alarm can be given and the air duct falls to the ground, so that the maintenance work does not need climbing operation, safety and high efficiency are realized, and the reliability and safety of the system are remarkably improved.

The invention relates to the technical field of satellite communication simulation, and discloses a satellite communication network simulation system and method. The system comprises a data processing module used for generating a contact plan based on DTN satellite network configuration and constructing a configuration file according to configuration parameters specified by a user; determining real-time positions and connection relations of nodes in a simulation period, and generating a multi-dimensional visual chart based on simulation result data; the simulation module is used for performing software simulation in a simulation period according to the configuration file and the contact plan, simulating data transmission among nodes in the satellite network topology and outputting simulation result data in real time; the visualization module is used for creating a multi-track animation and a dynamic topological graph based on the real-time position and the connection relation; and displaying the multi-track animation, the dynamic topological graph and the visual chart on a result interface. By means of the system, DTN network satellite communication simulation which is low in cost, easy to operate, efficient and multi-dimensional can be achieved, and the decision-making efficiency of technicians is improved.

The invention provides a pump station operation control method based on a deep Q neural network and a pipe network modeling technology. The pump station operation control method comprises the following steps that the pipe diameter size, valve coordinates and water pump performance parameters of a pump station are obtained; calculating on-way loss and local head loss in combination with a steady-state hydraulic equation, establishing a pump station pipe network numerical model, and setting node pressure limiting conditions based on actual operation conditions; constructing an algorithm model framework, establishing a reward mechanism fusing equipment energy consumption, pipe network pressure deviation and flow out-of-limit penalty, and adopting a dynamic exploration strategy to complete neural network training; according to the pipe network tail end water head and flow demand parameters, a water pump control decision is obtained, and a global optimal energy efficiency scheme is output; and evaluating feasibility according to the matching degree of the global optimal energy efficiency scheme and the actual pump set operation parameters, and if the feasibility exceeds an equipment operation threshold value, searching a correction scheme in the neighborhood space of the current solution based on the pipe network simulation model. According to the invention, a scheme for realizing water circulation under the condition of lowest energy consumption of the pump station can be obtained.

The present application relates to the technical field of electronic digital data processing, and particularly relates to a simulation optimization method and apparatus for a network architecture of an intelligent computing center, and a device and a medium. The method comprises: acquiring training configuration information of a large language model to be trained; on the basis of the training configuration information and a preset discrete event simulation strategy, using a preset simulator to perform training simulation on said large language model, so as to obtain a simulation result, wherein the preset simulator is obtained by using a preset ECS framework; and on the basis of the simulation result, adjusting a network architecture of an intelligent computing center, and obtaining an optimal network architecture of the intelligent computing center. In this way, a network simulator of an intelligent computing center is designed by using an entity component system framework, such that a complete simulation process of the training of a large language model can be implemented, so as to search for the optimal network architecture of the intelligent computing center; and the problem of it not being possible to support the simulation of a large-scale network of the intelligent computing center due to the fact that existing network simulators lack scalability is solved, thereby improving the efficiency and accuracy of simulating a large-scale network of an intelligent computing center.

The invention discloses a high and steep structure three-dimensional well pattern optimization method based on a crustal stress field. The method comprises the following steps: S1, establishing a one-dimensional crustal stress profile; s2, establishing geological parameter and rock mechanical parameter models of different stratigraphic dip angles; s3, based on a three-dimensional finite element simulation technology, respectively establishing crustal stress models of different model groups; s4, in different model group environments, fracturing fracture network expansion comparative analysis is carried out; and S5, establishing a three-dimensional well pattern optimization mode under the high and steep complex structure condition. According to the method, a quantitative evaluation relation chart of the penetration condition of the fracturing fracture network and the stratigraphic dip angle is established through ground stress and fracturing fracture network simulation under different stratigraphic dip angle conditions, and two stress disturbance quantities are constructed based on depth and interlayer to compare and analyze a fracturing fracture network expansion mode; on the basis, development technology policies such as well pattern and well spacing of shale gas horizontal well three-dimensional adjustment are optimized.

The invention belongs to the technical field of geographic information, and discloses an urban traffic carbon emission reduction prediction method and system based on living-employment network simulation, a terminal and a storage medium, and the method comprises the steps: obtaining urban travel flow data; the method comprises the following steps: extracting a connecting edge for constructing a residence-employment network based on urban travel flow data, checking a commuting mobile carbon source in combination with a carbon emission coefficient method, and constructing an urban residence-employment carbon emission network portrait; setting a node growth dynamics mechanism, and adjusting the weight of the node connection edge or increasing or decreasing the corresponding node connection edge according to the node influence range; and by taking reduction of the total weight of the residence-employment network as an optimization target, predicting residence-employment carbon emission in a newly added enterprise node scene by taking a node transformation quantity as a unit step length through a set dynamic rule, and generating a carbon emission reduction curve graph. According to the method, the carbon emission reduction effect under different layout regulation and control scenes is accurately predicted by constructing the residence-employment carbon emission network.

The invention provides a high dam foundation rock mass quality evaluation method, system and device based on RQD3D and damage and a medium. The method comprises the following steps that S1, a certain depth section of a drill hole or a footrill of a high dam foundation rock area is selected; s2, exploration, geophysical prospecting and testing are carried out on the drill hole or the adit, and all indexes and discontinuous surface geometric parameters needed by RQD3D calculation are collected; s3, proposing a concept of a three-dimensional equivalent rock mass integrity index RQD3D based on a three-dimensional fracture network simulation technology, and performing calculation; s4, the rock mass quality damage coefficient D is calculated based on changes of the sound wave velocities in the rock mass before and after excavation of the high dam foundation and under different water level working conditions; and S5, constructing a calculation formula of rock mass basic quality evaluation, and performing rock mass evaluation according to the assignment of full score 100. According to the evaluation and classification method provided by the invention, the three-dimensional integrity of the rock mass and the dam foundation rock mass quality damage before and after excavation and under different water storage working conditions are considered, evaluation factors are more perfect, and the method is more in line with engineering practice.

The invention relates to the technical field of nuclear power station real-time simulation, in particular to a working medium physical property data extraction and rapid calculation method for a super real-time fluid pipeline network, which comprises the following steps: collecting working medium parameters of the fluid pipeline network in real time, and processing the working medium parameters into a parameter matrix; the REFPROP is called to conduct physical property calculation on the parameter matrix, working medium physical property data are obtained and written into a physical property database, and an encryption grid algorithm and an encryption interpolation algorithm are combined in the physical property calculation process. According to the method, the requirements of flexibility, high-speed calculation and high precision of calculation of various working media can be met, and support in the aspect of physical property calculation is provided for super-real-time pipe network simulation.

The invention provides a natural gas pipeline network hydraulic parameter inversion calculation method based on a starfish optimization algorithm, which optimizes the hydraulic parameters of a steady-state and transient simulation model of a natural gas pipeline network by combining the global exploration and local development mechanism of the starfish optimization algorithm, and comprises the following steps: collecting basic data of the pipeline network; simulation model constraint conditions are established, a natural gas pipeline network steady-state simulation model and a transient simulation model are constructed, a starfish optimization algorithm is adopted for hydraulic parameter inversion calculation, and finally natural gas pipeline network steady-state simulation and transient simulation parameter inversion calculation results are output. According to the natural gas pipeline network hydraulic parameter inversion calculation method based on the starfish optimization algorithm, the accuracy of the pipeline network simulation model is improved by optimizing the input parameters in the simulation model, and more accurate support is provided for scheduling and optimization of the natural gas pipeline network.

The invention discloses a test system and method for a vehicle end controller based on European standard charging pile charging, the test system is connected with a to-be-tested controller, and the test system comprises a charging pile analog signal input unit, a vehicle-mounted equipment analog signal output unit, a vehicle communication network simulation unit and a controller power supply simulation unit. The test method comprises the following steps: configuring a software model and parameters related to communication, initializing a unit, disconnecting a relay, writing the software model and the parameters into a lower computer, generating related excitation signals according to a protocol and the parameters, then changing related data signals, and feeding back changes generated by the data signals to a PC (Personal Computer) end. The test system and method for the vehicle end controller based on European standard charging pile charging provided by the invention have the advantages that the adaptation cost is reduced, the full fault coverage test is realized, and the development efficiency is improved.

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 present invention discloses a gas pipeline network simulation and analysis system, comprising a gas pipeline network data acquisition unit, a pipeline network topology structure construction unit, a pipeline network data value influencing factor analysis unit, a gas pipeline network data prediction model construction unit, a gas pipeline network data periodicity prediction unit, a gas pipeline network data control unit, a risk warning unit, and a gas pipeline network data storage unit. The present invention realizes gas pipeline network simulation by constructing a pipeline network topology structure in a virtual environment; at the same time, it realizes periodicity prediction of gas pipeline network data through a time recurrent neural network model, compares the real data value collected on the gas pipeline network with the gas pipeline network data periodicity prediction range value, and judges the risk of the gas pipeline network. If the real data value exceeds the gas pipeline network data periodicity prediction range value, the valves on the branches and branch nodes in each component of the virtual pipeline network are adjusted to realize the real data value of the gas pipeline network exceeding the preset threshold value and control.

A network communication performance simulation method for a simulator, comprising the following steps: based on the parameter configuration of an interference source simulator and a plurality of radio communication simulators, a network simulation platform performs an initialization operation to obtain a channel quality parameter between any two radio models; determining a first radio communication simulator and a second radio communication simulator participating in communication; judging whether the parameters of at least one of the interference source simulator, the first radio communication simulator and the second radio communication simulator change, if yes, the network simulation platform updates the channel quality parameter between the first radio model and the second radio model based on the changed parameters of the interference source simulator, the first radio communication simulator and the second radio communication simulator; and the first radio communication simulator and the second radio communication simulator perform simulated communication based on the latest channel quality parameter.

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 invention relates to a method for simulating friction heat generation and environmental heat dissipation in a nuclear power SCO2 pipe network model, which comprises the following steps of: dispersing a nuclear power SCO2 pipe network system, determining nodes and streamlines of a target pipeline, acquiring original physical parameters, and acquiring friction pressure drop of fluid in the target pipeline by utilizing the original physical parameters; based on the friction pressure drop, the pipe wall friction acting heat absorption capacity and the fluid friction acting heat absorption capacity are obtained, and the fluid friction acting heat absorption capacity is introduced into an energy exchange item in the pipe network node energy conservation model. A pipe network heat dissipation model is established through the nodes, the pipe wall friction acting heat absorption capacity is added into the pipe network heat dissipation model, and the heat dissipation capacity of the nodes dissipating heat to the environment is obtained; and introducing the heat dissipating capacity into an energy exchange item, calculating a pipe network node energy conservation model after introduction, obtaining a specific enthalpy solving matrix, carrying out iterative operation on the specific enthalpy solving matrix, and obtaining friction heat generation and heat dissipation distribution results of all parts of the system under time step propulsion. According to the method, the simulation precision of the SCO2 pipe network is improved.

The invention discloses a circuit simulation data processing method, device and equipment based on an artificial neural network, a model of the method takes port voltage as input and output port current and S parameters, the structure comprises two parts of an IV network and an SP network, and a residual network is introduced; in the training stage, the IV network extracts node voltage and current from simulation data to serve as training samples, and the SP network takes the node voltage and a corresponding S parameter as input and extracts poles, residues and gains in combination with a vector fitting method; in a deployment stage, a model file is loaded into a circuit simulator, and IV and SP networks are synchronously loaded and cached during initialization; in the simulation process, according to the linearization process of a circuit simulator on a nonlinear device, the IV network output is used for calculating equivalent conductance and an equivalent current source, and the SP network output is used for reconstructing a standard S parameter. According to the embodiment of the invention, the cross-programming language calling overhead is avoided, the multi-port compatibility is realized, and the broadband simulation speed, precision and convergence are improved.

Aspects of the disclosure provide for discrete event network simulation (DENS) including failure modeling, network simulation, and metric reporting. A failure modeler can generate and model expected failure events. A network simulator can implement and execute the simulation processes with the failure events and calculate the flow availability of the network during the simulation processes. A report generator can generate various metrics from the simulation results.

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.

Systems and methods of production network simulation optimization are disclosed. An optimization request identifying a target production node is received and an optimization engine is implemented to optimize a sequence of operation for one or more sub-nodes of the target production node. The optimization engine utilizes an objective function configured to maximize an adherence percentage. An optimized production data structure including the optimized sequence of operation of the one or more sub-nodes of the target production node is output.

The invention discloses a low-carbon power system planning method, system and device based on carbon network simulation and a medium. The method comprises the steps of obtaining power system data, carbon ecological data, traffic energy consumption data and natural carbon sink data; performing weighted summation on the power system data and the traffic energy consumption data to obtain the total energy consumption, and comparing the total energy consumption with the natural carbon sink data to determine whether the total carbon is unbalanced; if the total carbon amount is unbalanced, obtaining total carbon amount imbalance information through time period analysis; generating a low-carbon emission reduction scheme based on the total carbon amount imbalance information; and performing multi-factor verification on the low-carbon emission reduction scheme, and adjusting and optimizing the low-carbon emission reduction scheme according to a verification result. According to the method, a scientific closed loop is formed from data acquisition, dynamic analysis, emission reduction and total factor verification, the problems of incomplete data and extensive analysis in the prior art are effectively solved, and scientificity, accuracy and engineering feasibility of low-carbon planning can be improved.