35results about How to "Meet Simulation Needs" patented technology

The invention discloses a polyester fabric hydrophilic antistatic agent which consists of the following components by weight percentage: 8 to 18 percent of DMT, 38 to 48 percent of glycol, 16 to 26 percent of polyoxyethylene, 6 to 16 percent of zinc acetate, 4 to 14 percent of diantimony trioxide and 3 to 8 percent of triphenyl phosphate, and the total amount of all the components is 100 percent. Interchange esterification and condensation polymerization are carried out to all the components so as to obtain the hydrophilic antistatic agent. The hydrophilic antistatic agent is adopted to prepare fabric-washing treatment liquid, and during the process the magnesium chloride hexahydrate is added and a two-dipping-two-rolling method is adopted to deal with the polyester fabric, and then the fabric is dried so as to complete the later finishing to the terylene fabric. The hydrophilic antistatic agent of the invention has stable antistatic capability, good washing resistance and low price. Adopting the antistatic agent to the later finishing of dacron can save the baking process of applied process so as to reduce energy cost and enhance the wearing property of polyester fiber and corresponding fabrics so as to meet the simulation requirement to polyester fabrics of costume fabric market.

The invention discloses a hierarchical dynamic equivalence method suitable for a regional power grid. The method comprises the steps of dividing a large-scale power grid into an internal system and an external system; building a power grid model of the internal system according to a topological structure of the internal system; dividing the external system into three layers of an outer-layer external network, an inner-layer external network and a buffer network; building an equivalent model of the outer-layer external network by adopting a coherent equivalence method; building an equivalent model of the inner-layer external network by adopting a dynamic equivalence method based on physical equivalence; building a power grid model of the buffer network according to a topological structure of the buffer network; simplifying 500kV backbone networks in the equivalent model of the outer-layer external network and the equivalent model of the inner-layer external network to the boundary of the buffer network by adopting a backbone network simplification method, and forming an equivalent model of the external system by the equivalent model of the outer-layer external network, the equivalent model of the inner-layer external network and the power grid model of the buffer network; and combining the power grid model of the internal system with the equivalent model of the external system to finally obtain an equivalent model of the regional power grid. According to the method, the simulation efficiency and the equivalence precision are ensured.

The invention relates to the field of simulation evaluation and flexible simulation modeling of passive radar battle effectiveness indexes, in particular to an operator-based passive radar target interception probability flexible simulation modeling method, which is characterized by comprising the following steps of: S1, constructing a passive radar target interception probability simulation mathematical model; S2, designing a corresponding resolving method, a mathematical model and a parameter relation according to the composition of the key model; S3, performing operator design of passive radar target interception probability simulation solution; S4, forming a passive target interception probability simulation operator component package; S5, constructing a passive radar target interception probability simulation operator tree model; S6, performing passive radar target interception probability simulation operator tree model verification; And S7, optimizing the passive radar target interception probability simulation model. The passive radar target interception probability simulation modeling method solves the problem of modularization and standardization of passive radar target interception probability simulation modeling, and improves the simulation modeling and mode testing efficiency.

The invention discloses a comprehensive energy heat supply system dynamic simulation method and device based on an expansion node method applied to a comprehensive energy heating system. The method comprises the following steps of: a system parameter input step, a step of obtaining a hydraulic part dynamic simulation model; a step of obtaining a pipeline branch thermodynamic equation set; a step of obtaining a heat consumer branch thermodynamic equation set, a step of obtaining a heat source branch thermodynamic equation set, a step of obtaining a system thermodynamic topology constraint equation set, a step of obtaining a thermodynamic part dynamic simulation model, a step of carrying out simulation initial, a step of carrying out simulation processing, a step of carrying out simulation judgment, a step of determining a simulation result and carrying out simulation circulation. The hydraulic dynamic state and the thermal dynamic state of the comprehensive energy heat supply system canbe simulated at the same time, and the simulation requirements of the comprehensive energy heat supply system in various application environments are met.

The invention provides a semi-physical simulation element design method for a large-scale unmanned cluster network. According to the invention, simulation elements such as virtual nodes, wireless signal extraction channels and controllers are designed in a targeted mode on the basis of an SDN framework for an existing semi-physical simulation platform, the virtual nodes simulate various physical nodes, and the technical effects of node transmission, calculation, storage and fusion are achieved; the problem of high-dynamic topological change simulation of the semi-physical simulation platform is solved; the problems of link characteristics such as time delay, jitter and packet loss rate of wireless channel accurate simulation of the mobile ad hoc network are solved, so that large-scale unmanned cluster network simulation is real and reliable.

The invention discloses an integrated supervisory control simulating training system model data management method for equipment functions in railway integrated supervisory control. The integrated supervisory control simulating training system model data management method includes the steps that based on function simulating for equipment, a template-equipment model data management structure is established; through an equipment function simulating logic template, function simulation defining of the equipment template is performed on logical relationships among point templates included by the equipment template; equipment simulating model data configuration is performed, and modeling and function simulating are performed on data in a railway integrated supervisory control simulating training system. On the basis of function simulating for the equipment, the management structure based on the template-equipment model data is established, and in combination with the equipment function simulating logic template, the problems that according to the traditional data modeling and function simulating design method in the integrated supervisory control simulating training system, because modeling management is performed for point functions, integrality is poor, and the data volume is large are solved.

The invention discloses a direct current transmission system control method and system based on adaptive active disturbance rejection proportional integral. The method comprises the following steps of: performing discretization processing on an active disturbance rejection proportional integral controller to obtain an adaptive active disturbance rejection proportional integral controller; and realizing constant current control of a rectification side and constant turn-off angle control of an inversion side in a direct current system based on the adaptive active disturbance rejection proportional integral controller. According to the direct current transmission system control method and system disclosed by the invention, the adaptive active disturbance rejection proportional integral controller is applied to the constant current control of the rectification side and the constant turn-off angle control of the inversion side in the direct current system, so that the dynamic response speedand the robustness of the system in response to large-range disturbance are improved, and the continuous commutation failure in the high-voltage direct current transmission system is effectively suppressed.

The invention discloses a method of eliminating negative resistance of a power system. The method is characterized in that step S10, a power flow result of a simplified power network system and a resistance value and a reactance value of a newly generated serial connection branch circuit comprising the negative resistance are acquired, and the power flow result is a power flow calculation result before the simplification of the power network system; step S20, the equivalent current network conversion of the serial connection branch circuit comprising the negative resistance is carried out, and a ground admittance branch circuit comprising the negative resistance and positive resistance is acquired by the conversion; step S30, the negative resistance of the ground admittance branch circuit is neglected, and the positive resistance is retained, and then the parameters of the branch circuit comprising the negative resistance are updated to form a new branch circuit. The method of eliminating the negative resistance based on the power flow calculation result is advantageous in that the negative resistance is eliminated by adopting less steps and without changing the dynamic characteristics of the system a lot, and therefore a modeling requirement of an electromagnetic transient state simulation software on the network comprising the negative resistance and the simulation requirement of the network comprising the negative resistance are required.

The invention discloses a station alternating current network topology switch node state determination method and device, and the method comprises the steps: traversing a pre-generated switch data file, recording switching numbers between adjacent nodes, marking terminal nodes, and forming a search set, wherein the switch data file comprises a switch name, a switch type, a switch head node, a switch tail node, an on-off state and detailed description; when the on-off state or the power state changes, sequentially traversing the terminal nodes in the search set, and judging the states of the terminal nodes and the adjacent nodes to obtain the electrified states of all the nodes, wherein the terminal node is a switch tail node without an adjacent switch. The method and device can improve thejudgment speed and precision of the state of the switch node.

The invention discloses a flexible load regulation and control simulation system and method based on a dispatching automation master station system, and the system comprises: a flexible load regulation and control simulation module which is used for simulating a first flexible load of a power grid system, constructing a first flexible load simulation model, and transmitting the first flexible loadsimulation model to the dispatching automation master station system; a dispatching automation master station system which is used for generating a power control instruction of each unit in the powergrid system according to a preset dispatching plan and AGC adjustment, aggregating the first flexible loads according to a first flexible load simulation model to generate a flexible load equivalentgenerator set, updating the power grid system units according to the flexible load equivalent generator set, wherein the power grid system unit comprises a generator set and a flexible load equivalentgenerator set; and a power grid simulation platform which is used for simulating a power grid system unit of the power grid system according to the power control instruction to obtain a power grid unit simulation model. An efficient and feasible flexible load regulation and control simulation strategy is provided.

The invention relates to an unmanned vehicle simulation method and device, a storage medium and electronic equipment, and the method comprises the steps: receiving a simulation request of a user, wherein the simulation request comprises a plurality of simulation demands; determining a plurality of simulation scenes corresponding to the plurality of simulation requirements from a simulation scene set; splicing the plurality of simulation scenes to obtain a target simulation scene sequence; and sending the target simulation scene sequence to the unmanned vehicle, wherein the target simulation scene sequence is used for simulation of the unmanned vehicle. By adopting the technical scheme, a plurality of simulation scenes can be automatically selected and matched according to the requirements of a user in the unmanned vehicle simulation process, so that automatic and continuous multi-scene simulation is realized. In the process, the user does not need to manually issue a simulation test task. Therefore, according to the technical scheme, the unmanned vehicle simulation efficiency can be improved, and the labor cost in the simulation process is reduced.

The application provides a static mutual interference simulation method and apparatus, wherein the method and apparatus are used for interference simulation of an interfered system by an interference system so as to solve problems of low universality and low simulation efficiency according to the existing simulation method. The method comprises the following steps that: a simulation cyclic variable is classified into three categories including a cyclic variable S1 influencing a topological structure of the system, a snapshot cyclic variable S2 and a cyclic variable S3 not relevant to the topological structure of the system; for the simulation, the cyclic variable S1 and/or cyclic variable S3 as well as values of the cyclic variable S1 and the cyclic variable S3 are set and an initial value and a maximum value of the cyclic variable S2 are set, and a designated performance index C of the interfered system is also set; the values of the cyclic variable S1 and the cyclic variable S3, the initial value and the maximum value of the cyclic variable S2, and the designated performance index C are introduced into a simulated flow for calculation. According to the simulation method, various simulation demands can be satisfied only by setting parameters simply, so that the universality is high; and the simulation efficiency is high.