121 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.

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 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 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.

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.

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.

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.

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 application relates to an automated performance testing system and method for software-defined network controllers. The system includes: an automatic measurement unit for softswitch traffic generation capability, an automatic data plane network construction unit, a given load traffic triggering unit, and a southbound protocol message information statistical analysis unit. By relying on software-defined network simulation tools and widely used software switches, it facilitates testing of network controllers based on constantly evolving and new southbound protocols, ensuring the advanced nature and universality of the testing system.

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.

The application discloses a kind of based on pipe network simulation's refrigeration system energy-saving control method and system, comprising: target refrigeration system is divided into working area, based on pipe characteristic and pipe resistance characteristic Construction pipe network resistance simulation formula, and combined with random forest algorithm Construction pipe network resistance prediction model;Refrigeration system operation control information is obtained, input into the pipe network resistance prediction model in pipe network resistance prediction is carried out, and according to the prediction result Energy-saving control scheme is formulated;The operation monitoring information of target refrigeration system is obtained, and system operation anomaly detection is carried out according to the operation monitoring information, and operation anomaly detection information is obtained;According to the operation anomaly detection information, abnormal cause analysis and abnormal tracing are carried out, and abnormal early warning is carried out.The energy utilization efficiency of refrigeration system is improved, the operation energy consumption thereof is reduced, and operation anomaly monitoring is carried out, the refrigeration system operation stability and energy utilization efficiency are improved.

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 provides a DCN simulation method, the DCN is used for monitoring an optical transport network, and the method comprises the steps: carrying out the simulation of a DCN interface part through behavior simulation, and obtaining an interface network model; the DCN interface part comprises the optical transport network and a target connection structure, and the target connection structure is a structure connected with the optical transport network in the DCN; simulating a DCN forwarding part through network function virtualization to obtain a forwarding network model; the DCN forwarding part comprises a link used for forwarding a data packet in the DCN. The invention further provides data communication network simulation equipment, a computer readable medium and a computer program product.

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 relates to an optical network twin creation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: creating a corresponding device layer based on network state data and historical operation and maintenance data of a target optical network; creating a corresponding link layer based on the link physical parameters related to the target optical network; creating a corresponding service layer based on the transmission path corresponding to the service related to the target optical network; creating a first cross-layer mapping relationship between the device layer and the link layer, and a second cross-layer mapping relationship between the link layer and the service layer; and on the basis of the device layer, the link layer, the service layer, the first cross-layer mapping relationship and the second cross-layer mapping relationship, determining an optical network twinborn of the target optical network, the optical network twinborn being used for simulating the target optical network, thereby improving the reliability of optical network simulation.

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.

This invention discloses an adaptive distributed network integration system and method for virtual-real drone collaboration, relating to the field of drone control technology. It includes a central control plane and at least one node agent. The central control plane comprises: a global identity manager, configured to assign globally unique network identity information and record and reclaim the network identity information; a network topology and state manager, configured to generate virtual-real network state views, respond to queries, and issue network simulation commands to the node agents; a distributed network coordinator, configured to decide and coordinate the node agents to construct a cross-host logical Layer 2 network domain; and a security policy manager, configured to define and store network access control policies for virtual drones. This adaptive distributed network integration system and method aims to achieve a "physical" representation of virtual drones at the network layer, enabling them to communicate directly and collaborate with real drones within the same network plane.

The invention discloses a mobile phone signaling data stay point identification and individual exposure calculation method and system based on dynamic clustering and multi-modal network simulation. The method comprises the following steps: preprocessing original signaling data and carrying out structured storage; staying point identification is carried out by adopting a mixed algorithm combining time window scanning and density clustering, wherein clustering parameters are dynamically adjusted according to different time periods in a day; an OD matrix is generated based on the stay points, and a multi-modal traffic network is utilized to simulate an individual moving track; and superposing the simulated trajectory and geographic space raster data, and calculating the individual space-time exposure. According to the method, the problems of low processing efficiency of massive signaling data, insufficient identification precision of the stay points, lack of multi-traffic simulation, difficulty in spatial data fusion and the like are solved, the processing efficiency is improved by more than ten times, and powerful data support is provided for the fields of urban planning, environmental health and the like.

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.