217 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.

The invention provides a 5G network intelligent switching management method based on artificial intelligence, and the method comprises the following steps: collecting and processing network related data, and obtaining a network data set; constructing a switching demand prediction model used for predicting network switching time and a target and a switching effect prediction model used for predicting network performance after switching; optimizing the initial switching strategy in combination with reinforcement learning to obtain an optimal switching strategy; deploying a network switching engine model on the edge computing node, and adjusting an optimal switching strategy in real time according to the network environment change; a virtual simulation digital environment is constructed for network simulation, an optimal switching strategy is evaluated according to the simulated virtual network environment, and then a network switching engine model is optimized in real time according to an evaluation result. According to the invention, the intelligent switching decision is realized, the precision and efficiency of the switching decision can be improved, the network adaptability and diversified requirements are enhanced, and the user experience is improved.

The invention discloses a simulation test method for a vehicle-mounted communication network. The method comprises the following steps: S1, initializing a vehicle-mounted communication environment; s2, generating a dynamic network topology; s3, environment adaptability dynamic interference is generated; s4, co-simulation of the dynamic network and interference; s5, testing and evaluating communication performance; and S6, visualizing and exporting a test result. According to the invention, the network topology reflecting the real-time motion state of the vehicle is dynamically generated, the communication change between the vehicles can be reflected in real time in different traffic environments, and the interference conditions in various complex environments are simulated in combination with the environment adaptability dynamic interference generation module, so that the performance of the vehicle-mounted communication network can be comprehensively evaluated.

The invention belongs to the technical field of three-dimensional simulation, and particularly provides a rock mass structural plane network simulation method fusing artificial intelligence and laser scanning, and the method comprises the steps: obtaining point cloud data; clustering the point cloud data by adopting a clustering algorithm to obtain an original structural surface; performing statistical analysis on the original structural plane according to the rock mass type and the structural partition to obtain a representative structural plane, and fitting to obtain a probability density function according to occurrence parameters of the representative structural plane; according to the development volume density of the representative structural plane, converting the probability density function into a volume density function, and according to the volume density function, generating a random structural plane by using a Monte Carlo simulation method; and constructing a BIM model of the rock mass structure, and performing three-dimensional space simulation on the rock mass structural plane network based on the BIM model and the random structural plane to obtain a simulation result. According to the method, the precision, comprehensiveness and authenticity of depicting the rock mass structural plane are greatly improved, and the spatial distribution characteristics of the structural plane network can be quantitatively evaluated.

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 discloses a network security attack and defense confrontation scene generation system for a novel power system. The scene editor module receives user interaction and constructs or modifies an attack and defense scene; the network simulation module generates real network environment data based on a network space surveying and mapping technology, constructs a simulation network environment and manages simulation data through a simulation database; the AI automatic control module integrates an AI algorithm to simulate an attack behavior, intelligently generates and adjusts a defense strategy, and manages an attack and defense rule through a rule engine; the security isolation module deploys security equipment to realize sensitive data isolation; the data flow direction is controlled through strategy configuration, and information leakage is prevented; the evaluation and feedback module is used for collecting data in the drilling process, carrying out multi-evaluation on the drilling effect and generating reports and suggestions; and the business module adopts a plug-in architecture, dynamically loads or unloads each functional module, constructs a multi-layer defense system, and realizes generation, evaluation and feedback of an intelligent confrontation strategy. According to the invention, the authenticity and effectiveness of attack and defense drilling are improved.

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.

A system is described that combines outputs of network simulations, which are used for capacity planning, with empirical data of network element failure probabilities, to produce what traffic utilization is needed for each network device interface to achieve a specified availability target. Utilization of each interface can be captured for each failure case simulated. From this failure data, the utilization distribution for each link can be produced, across all failure cases. This utilization-by-failure data from simulation is combined with the empirical mean-time between failure (MTBF) and mean-time to recovery (MTTR) of each failure from the span reliability data set. This allows for a prediction of what percentage of time the interface is utilized. Thus, a relationship is established between the capacity provisioned and the percentage of time that the capacity will be uncongested. Network devices can then be added to the network to establish the availability target.

The invention relates to the technical field of pipe network monitoring, and discloses a pipeline online operation monitoring method, system, equipment and medium based on a pipe network simulation model.A mass conservation equation, a momentum conservation equation and an energy conservation equation are combined, a dynamic simulation model of a pipe network system is comprehensively constructed through a transient simulation engine, and the pipeline online operation monitoring method and system based on the pipe network simulation model. The real-time monitoring data is used for correcting the dynamic simulation model of the pipe network system, the occurrence probability and duration of abnormal events in the pipe network system are predicted through a survival time simulation method, early warning is given out, the real-time operation state and dynamic behaviors of the pipe network can be truly reflected, reliable data support is provided for operators, and the method is suitable for popularization and application. Omnibearing monitoring and accurate management of pipe network operation are ensured, the operation efficiency and safety of a pipe network system are greatly improved, and monitoring requirements under complex working conditions are met.

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 is applicable to the technical field of short message transmission, and provides a short message sending test method, which comprises the following steps: aggregating a plurality of test users according to user attributes to form a plurality of user groups, and configuring different short message channels for different user groups; configuring different short message templates for each short message channel, and distributing a plurality of test users corresponding to the short message channels to different short message templates according to a preset distribution proportion; in the testing process, a network simulation method and a user behavior simulation method are adopted, network fluctuation and operation behaviors of corresponding user groups are simulated, testing data are obtained, a multi-target optimization model is constructed based on the performance of a short message channel, common tags of the user groups and the testing data, and a multi-target optimization result is obtained. And obtaining a matching scheme of the short message template, the user group and the short message channel. Through the test method, more accurate and personalized short message service can be provided for the user, the delivery rate and the reading rate of the short message are improved, and the participation degree and the loyalty degree of the user are enhanced.

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 gas pipe network simulation analysis system. Comprising a gas pipe network data acquisition unit, a pipe network topological structure building unit, a pipe network data value influence factor analysis unit, a gas pipe network data prediction model building unit, a gas pipe network data periodic prediction unit, a gas pipe network data regulation and control unit, a risk early warning unit and a gas pipe network data storage unit. According to the method, the simulation of the gas pipe network is realized by building the pipe network topological structure in the virtual environment; meanwhile, periodic prediction of the gas pipe network data is achieved through a time recurrent neural network model, the collected real data value on the gas pipe network is compared with the periodic prediction range value of the gas pipe network data, the risk of the gas pipe network is judged, and if the real data value exceeds the periodic prediction range value of the gas pipe network data, the risk of the gas pipe network is judged. And if yes, regulating and controlling the real data value of the gas pipe network data exceeding the preset threshold value by regulating valves on branches and branch nodes in each constituent part in the virtual pipe network.

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 discloses a natural gas pipeline network simulation prediction method and device, equipment and a storage medium. The method comprises the steps of determining parameter dynamic data of a plurality of nodes in a target natural gas pipeline network at the current moment based on a mechanism simulation model according to historical system data and current system data; determining boundary node prediction data of a pipe network boundary node layer in the target natural gas pipe network according to the current structure data, preset system data and parameter dynamic data of the target natural gas pipe network based on a graph neural network model and a mechanism simulation model; on the basis of a neural operator model and a mechanism simulation model, according to the parameter dynamic data and the candidate node prediction data, determining pipe section node prediction data of an internal node layer of the pipe section; and summarizing the boundary node prediction data and the pipe section node prediction data to obtain pipe network simulation prediction data of the target natural gas pipe network in a future preset time period. According to the technical scheme, the online simulation efficiency and stability of the pipe network can be improved.

The invention belongs to the technical field of nuclear power, and particularly relates to a DCS control cabinet, industrial control network and power distribution system fusion simulation system. The DCS control cabinet three-dimensional simulation model, the DCS industrial control network simulation model and the DCS power distribution simulation model are fused, data interaction among the models is realized, and maintenance scene simulation and fault drilling of DCS network faults and power distribution faults can be carried out. And a digital operation and maintenance tool is provided for DCS operation and maintenance of the nuclear power plant. A DCS industrial control network and a power distribution system which have important influence on a DCS system of a nuclear power plant are fused into a DCS simulation system, so that simulation of the DCS system is provided under normal and fault conditions of a switch and a cabinet power distribution system. Therefore, a DCS simulation system which is more vivid to the field is provided, a credible simulation analysis and verification tool is provided for DCS operation and maintenance of a nuclear power plant, and digital transformation of DCS operation and maintenance is assisted.

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 a low-permeability oil reservoir channeling control oil displacement strategy obtaining method based on pore network simulation. The method comprises the steps that a three-dimensional pore structure of a core sample is obtained, a pore network model is established, multiphase fluid numerical simulation is conducted, and relative permeability parameters of an oil reservoir are determined; original data of the block oil reservoir are obtained, a three-dimensional geologic model is constructed, and relative permeability parameters are imported; geologic features, fluid properties and production history of an oil reservoir are considered, a well pattern injection-production mode and the optimal positions of an injection well and a production well are determined through the three-dimensional geologic model, and an injection-production scheme is formulated; through numerical simulation, based on sensitivity analysis, sensitive factors influencing the recovery degree are screened from engineering factors and geological factors; through numerical simulation, the recovery degree of each stage is used as an evaluation index, and sensitive factor parameters are optimized; and generating an oil displacement strategy based on the optimized sensitive factor parameters. According to the method, the relative permeability parameters are obtained in a simulation mode, then the oil displacement parameters are optimized through simulation screening, and the recovery efficiency of the low-permeability reservoir is effectively improved.

The invention discloses a distribution network protection fixed value setting method and system in a whole county photovoltaic scene. The method comprises the steps of obtaining a first target parameter and a second target parameter of a first target distribution network; establishing a second target power distribution network model, wherein the second target power distribution network model is the first target power distribution network simulation model after the distributed power supply is accessed; presetting a first optimization algorithm, and optimizing the second target power distribution network model based on the first optimization algorithm; and based on the optimized second target power distribution network model, in combination with the first setting strategy, performing distribution network protection setting value setting. The quantitative calculation method is applied to an actual power distribution network, the effectiveness and accuracy of the quantitative calculation method are verified through simulation experiments, field tests and other modes, the feasibility of the quantitative calculation method is verified, and powerful support is provided for application and popularization of the quantitative calculation method in actual engineering. Fault features can be rapidly and accurately extracted, and the safety of matching use of the scheme is ensured.

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.