1345results about How to "Improve solution efficiency" patented technology

Neural Network Loadflow (NNL) computation method is invented involving input vector composed of net nodal injection of real and reactive powers and diagonal elements of conductance and susceptance matrices multiplied by the squared voltage magnitude components of the flat-start normally used as initial solution estimate guess for loadflow solution by conventional NRL or SSDL methods. Training, and testing / validating input-output data sets are generated by applying uniform and non-uniform scaling factors applied to base case loads at PQ-nodes, resistance and reactance of transmission line branches. These scale factors are increased until loadflow solution by conventional methods such as Newton-Raphson Loadflow and Super Super Decoupled Loadflow methods diverge. Divergence of loadflow methods are due to node voltage, node angle, and numerical instabilities. Voltage magnitude and phase angle values in the solution before divergence are respective stability limits and voltage magnitude and phase angle values in loadflow solution provide direct measure to the respective stability margins. Also Suresh's diakoptiks based feature selection technique is presented for ANNs calculating one node variable with one neuron each in their output layers.

The invention discloses a high-rigidity and light-weight design method considering uncertainty of a slide block mechanism of a press machine. The high-rigidity and light-weight design method comprises the steps of: establishing a high-rigidity and light-weight design model considering the uncertainty of the slide block mechanism of the press machine; adopting an optimized Latin hypercube sampling method for a test design, obtaining a target function response value corresponding to each sample point through collaborative simulation and building a Kriging agent model; converting an uncertain target function into a certain target function based on an order relation of interval numbers; and calculating a target function interval by utilizing an internal structure analysis way, finding a Pareto optimal solution collection of a converted certain optimal problem by utilizing a multi-target genetic algorithm, if the precision requirement is not satisfied, performing important sampling at the place where the extreme value of the target function interval locates, and updating the target function sample collection and the agent model to perform iterative optimization. The high-rigidity and light-weight design method considering uncertainty of the slide block mechanism of the press machine, disclosed by the invention, has the advantages of establishing the uncertain optimization model of the slide block mechanism according with the practical project for solving and really realizing the light-weight and high-rigidity design of the slide block mechanism.

Modular program code is comprised of software blocks and software elements. Software modules self-configure to solve computer network problems. Software modules are applied to the organization and management of data objects in databases and in computer networks. The modular program code components self-assemble to solve problems in computer networks in real time using metaheuristics and modeling.

The invention relates to a multi-objective dispatching model-based microgrid energy control method under the grid-connected operation mode. A microgrid comprises a plurality of microsources and a load. The method includes the following specific steps: (1) the information of each microsource and connecting lines in the microgrid is acquired by a processor, and with minimum power generation cost and environmental cost as objectives, a multi-objective economical dispatching model is created; (2) a membership function is created to fuzzify the multi-objective economical dispatching model, so that a non-linear single-objective microgrid economical dispatching model is obtained; (3) an improved genetic algorithm is adopted to optimize the non-linear single-objective microgrid economical dispatching model, so that the optimal active and reactive power data of each microsourcre and the connecting lines are obtained, and the data are transmitted to a microgrid power controller; (4) according to the received optimal active and reactive power data, the microgrid power controller controls the active and reactive power output of each microsoruce and the connecting lines. Compared with the prior art, the method has the advantages of high control precision and the like, and can guarantee the economical operation of the microgrid.

The invention provides an intelligent vehicle trajectory planning and tracking combined control method. The method comprises the following steps: parameterizing a road; establishing a transverse and longitudinal vehicle dynamic model; expanding a vehicle model, and forming a prediction model through linearization, discretization and incremental conversion; designing an objective function of a trajectory planning and tracking joint control problem according to a model prediction control method; obtaining a current vehicle state, and updating matrix parameters in the prediction model; establishing road boundary, driving stability and state quantity constraints according to the vehicle state and the predicted output state of the previous moment; and converting the problem into a quadratic programming problem form, solving an optimal control increment combination, and acting the optimal front wheel rotation angle [delta]* and the longitudinal control value D* on the autonomous vehicle. According to the invention, the combined processing of optimal driving line planning and control is realized, the complexity of an automatic driving module is reduced, the overall memory occupation and processing time are reduced, and the control stability of the automatic driving racing car is improved.

The invention discloses an inverse kinematics solution method for a six-degree-of-freedom serial robot. The inverse kinematics solution method comprises the steps of: establishing a connecting rod coordinate system and setting variables theta 1, theta 2, theta 3, theta 4, theta 5 and theta 6; setting an initial configuration; solving theta 4, theta 5 and theta 6 by utilizing a geometric method; and eliminating theta 1, theta 2 and theta 3 by utilizing an algebra elimination method and introducing a tabu search algorithm when solving a non-orthogonal spheroid or the terminal structure of the non-orthogonal spheroid, thereby solving out corresponding numerical solutions. The inverse kinematics solution method is smart in conception and utilizes the geometric method and the algebra elimination method for comprehensive solution, thereby avoiding the problem that the rank of an equation determinant of coefficient is smaller than order caused by arbitrary establishing of equations and correctly obtaining the analytic solutions of six axes efficiently; and for complex-structure trigonometric function relationship, a linear equation in two unknowns can be effectively transformed to a linear equation with one unknown by the elimination method in the use of the geometric method, and therefore a unique corresponding analytic solution is obtained.

The invention discloses a system for integrating a half-physical simulation test platform for a complete vehicle electronic control device, so that a complete vehicle electronics system can be subjected to convenient, economic, reliable and humanized integrated development, test and verification through virtual real-time complete vehicle environment at the early development stage. The technical scheme of the invention is that: the system comprises a complete vehicle environment simulation model module, a complete electronic control device and a real-time interface module, wherein the complete vehicle environment simulation model module simulates an engine, a clutch, a gear box, vehicle running, and a complete vehicle electronic system; the vehicle electronic control device comprises an engine controller, an ABS controller, a gear box controller and a vehicle network; and the real-time interface module is connected with the complete vehicle environment simulation model module and the complete vehicle electronic control device and is used for providing real-time data exchange between the complete vehicle environment simulation model module and the complete vehicle electronic control device.

An active power distribution network soft normally open point (SNOP) planning method considering distributed generator characteristics is disclosed. The active power distribution network soft normally open point planning method comprises the steps of inputting corresponding parameters according to a chosen power distribution system separately; obtaining a soft normally open point planning scene and corresponding probability considering wind and light uncertainty; establishing an active power distribution network soft normally open point planning problem mathematical model according to the given power distribution system parameters and the generated planning scene; performing cone model conversion on nonlinear constraints in the active power distribution network soft normally open point planning problem mathematical model according to a standard form of cone planning; generating a soft normally open point planning scheme, optimizing the running state of each scene and calculating an upper layer target function value and a lower layer target function layer; analyzing the adaptability of the generated scheme, if the generated scheme is not the optimal solution, continuing to generate a soft normally open point planning scheme; and if the generated scheme is the optimal solution, outputting the result. The active power distribution network SNOP (soft normally open point) planning problem solving considering the distributed generator characteristics is realized; the planning result is better in adaptability; and the solving efficiency is effectively improved on the premise of ensuring the optimal solution.

A method for obtaining an optimal dispatching scheme of part machining based on a one-dimensional particle swarm algorithm. The method particularly includes the steps: firstly, performing formalization description of mathematical symbols for production dispatching problems of a flexible workshop, and determining assessment indexes of an optimal object; secondly, building a comprehensive optimal object function F; thirdly, building constraint conditions of the dispatching optimization process; fourthly, designing the particle swarm algorithm with a one-dimensional coding mode based on heuristic rules; fifthly, performing iterative operation, outputting optimal particles and decoding the optimal particles to serve as a final result of the dispatching scheme. By the method, the conditions such as resource constraint and working procedure constraint are met, manufacturing period, total load of a machine tool and maximum load of a single engine serve as comprehensive optimal objects, the optimal dispatching scheme of part machining can be rapidly obtained by the aid of the particle swarm algorithm with the one-dimensional coding mode, the heuristic rules with the earliest completion time are added, and convergence of the comprehensive objects is accelerated.

The invention discloses a robot path planning method adopting multi-subgroup coevolution particle swarm optimization to perform real-time rolling optimization obstacle avoidance processing, which can enable a robot to realize autonomous navigation in a working condition with stationary obstacles at unknown positions. The method has the following advantages: the method can realize autonomous navigation of the robot in a working condition with stationary obstacle at unknown position; the method introduces group mass center strategy to the multi-subgroup coevolution, so as to increase the search capacity of the population; compared with a conventional path planning method which adopts PSO (Particle Swarm Optimization) and CPSO (Coevolution Particle Swarm Optimization), the method provided by the invention adopts survival of the fittest strategy, thereby being more advantageous in respect to rate and accuracy of evolution convergence; the method provided by the invention can real-timely plan an effective obstacle avoidance path in a complex obstacle environment, and has the advantages of good robustness, high solving efficiency, and the like.

The invention discloses a server power supply fault detection method. The server power supply fault detection method comprises a CPLD and a BMC. The CPLD is used for acquiring a start working signal and a normal working output signal of each power supply of the server node; Judging the failure state corresponding to each power supply according to the start working signal and the normal working output signal; Storing the failure state in a preset storage device; And the BMC is connected with the CPLD and is used for reading the failure state from the preset storage equipment when a reading instruction is received so as to position the failure power supply. The failure states of all the power supplies are determined through the CPLD and stored in the preset storage device, when the BMC receives the reading instruction, the failure states stored in the preset storage device can be obtained through connection with the CPLD, and therefore rapid positioning of power supply faults is achieved. The invention further discloses a server power supply fault detection method, device and equipment and a storage medium, and the above technical effects can also be achieved.

The invention discloses a data-driven design method integrating an active interlayer microstrip antenna structure and electromagnetism and an antenna, and solves the problem that the prior art can not realize the integrated design of the structure and electromagnetism. The method comprises the following steps: firstly, fixing the material, size, panel and cellular size of a radio frequency function layer according to electrical property indexes, secondly, obtaining front deformation data and stress data of the antenna structure through mechanical analysis, thirdly, preprocessing the front deformation data, so as to obtain the position error of each radiating element, fourthly, calculating a far-field pattern of an interlayer microstrip antenna according to a data-driven coupling model, fifthly, calculating and considering the wave-transparent performance influenced by the panel and cellular, sixthly, establishing an optimization design model integrating the interlayer microstrip antenna structure and electromagnetism, and seventhly, solving the optimization design model, so as to obtain an optimal integrating result. The method can realize the simultaneous optimal design of the active interlayer microstrip antenna structure and electromagnetism, shortens the development period, and improves force-electricity properties of products.

The invention discloses a design method of structural topology optimization based on multi-performance constraints. The method comprises the following steps: (1) creating a finite element model of a ground structure; (2) inputting multi-performance topology optimization parameters to form an optimization model; (3) initializing variables and extracting information on the ground structure; (4) analyzing mechanical properties of the structure and extracting an analysis result; (5) displaying the optimization model; (6) solving the optimization model; (7) inverting an optimal continuous structureto obtain an optimal topology structure. With the design method, a stable and convergent topological optimization structure can be quickly obtained. The design period of the structure is shortened. Working efficiency is increased. Energy is saved while material consumption is reduced.

The invention discloses a method and a device for opening an unknown file, and belongs to the field of computer software management. The method comprises the following steps of: receiving a request for opening an unknown file; according to the extension of the unknown file, acquiring an application program corresponding to the extension from an application program list stored locally; and opening the unknown file by using the acquired application program. The device comprises a receiving module, an acquisition module and an application module. According to the embodiment of the invention, the unknown file can be opened correctly after a program is installed successfully by analyzing the unknown file and recommending the application program in a targeted way, so that the troubles of a user in searching and finding software when a user needs to open the unknown file are avoided effectively; the professional requirement on the user is low; and efficiency of solving the problem is improved.

The invention discloses an analytical method for a contact performance of a junction surface containing a microcosmic surface shape. According to the analytical method, the gridding dividing quality and the solving efficiency are increased and the forecasting accuracy and reliability of the contact performance of rough surfaces are improved. The analytical method comprises the following steps: measuring a practical surface through a laser confocal microscopy or obtaining the rough surfaces by utilizing a three-dimensional shape digital simulation method; extracting a height matrix of the shape of each 3D (Three-Dimensional) rough surface; utilizing a point cloud processing method to discretize each 3D rough surface into a height matrix file which is easily extracted by finite element software; importing the height matrix files into the finite element software, thereby generating a microcosmic shape of each connecting surface of the junction surface; establishing body models considering the microcosmic surface shapes by utilizing translation coordinate modifying functions of a key point of the finite element software; performing hexahedron gridding division on each body model according to a gridding control method; establishing finite element contact models in contact with the two 3D rough surfaces; gradually applying displacement and force loading boundary conditions; and analyzing the contact feature of the junction surface.

The invention discloses a hydropower station automatic generation active output control system and a hydropower station automatic generation active output control method. The hydropower station automatic generation active output control system comprises an AGC functional block, a PID functional block and a preprocessing functional block, wherein equipment parameters and dynamic parameters are directly input to, or sent to the AGC functional block and the PID functional block for updating after being processed by the preprocessing functional block. The hydropower station automatic generation active output control method can calculate a single-unit active setting value of each generator unit according to a whole station active target value of a hydropower station, performs PID closed-loop adjustment on a single-unit active actually generated value, and meets the operation requirements of a generator unit avoiding a vibration region and hydropower station primary frequency modulation; the hydropower station automatic generation active output control method adopts the method of pre-establishing a combined output model of input AGC units, converts data existing in a unit form into data in a station form, increases solution efficiency, and can meet requirements for automatic active output control of different multi-vibration-region and multi-unit type large and medium-sized hydropower stations.

The invention discloses a structure robustness optimization design method containing interval parameter uncertainty. The method comprises the following steps that a structure robustness optimization design model based on an internal is built; sample points are obtained by adopting a Latin hypercube sampling and co-simulating technique; a Kriging proxy model for predicting a target function and a constraint function is constructed; an interval robustness optimization design model is solved by adopting a double layer-nested genetic algorithm, left boundaries and right boundaries of the target function and the constraint function are calculated in the inner layer of the genetic algorithm, and in the outer layer of the genetic algorithm, total interval constraint violation degree vectors of all design vectors are calculated, and the feasibility of the total interval constraint violation degree vectors is judged; all the design vectors are subjected to advantage and disadvantage sorting according to a superior relationship criterion based on the interval constraint violation degree vectors; when a largest evolution algebra or convergence threshold value is achieved, the optimal solution of the robustness optimization design model is output, and the structure robustness optimization design containing interval parameter uncertainty is achieved.

The invention provides a method for equipment to request assistance, a method for responding to an equipment assistance request, and apparatuses; the method for equipment to request assistance comprises the following steps: carrying out equipment fault detection or equipment environment detection by using the first equipment; processing detected equipment fault data or equipment environment data, and determining whether assistance of the second equipment is needed or not; and if yes, sending an assistance request to the second equipment. Based on equipment fault detection or environment detection, if the detection result shows that other equipment assistances are needed, the assistance request can be automatically sent, thus simplifying equipment fault processing, and greatly improving equipment problems solving efficiency. The method for responding to equipment assistance request comprises the following steps: the second equipment receives the assistance request sent by the first equipment; the second equipment determines whether to execute the assistance request or not; and the second equipment responds to the assistance request according to the determination result. The assistance request can be automatically processed without artificial interference or scheduling, thus effectively improving equipment assistance efficiency.

An effective industrial process dynamic optimization system capable of controlling variable parameterization comprises a field intelligent instrument, a DCS system and an upper computer which are connected with an industrial process object. The upper computer mainly comprises an initialization module for initializing data and control vector parameter; a control variable parameterization module for discretizing the control variable of dynamic optimization problem and describing control variable u (t) with N independent control parameters; an ODE solving module for solving the system of ordinary differential equations of dynamic optimization problem, obtaining the value of state vector and corresponding object function value and transmitting to a NLP module; and a NLP solving module for solving nonlinear programming problem obtained by the control variable parameterization module. The invention further provides the effective industrial process dynamic optimization method capable of controlling the variable parameterization. The invention can find the optimal solution of large-scale nonlinear dynamic optimization problem accurately and has stable and quick convergence.

The invention relates to a sending end power grid power source structure planning method considering local load peak regulation capacity. A power source structure planning model is established in combination with various actual constraint conditions such as peak regulation constraints on the basis of considering wind and light storage peak regulation capacity and local load peak regulation capacity. The method comprises the following steps: establishing a power source structure planning model considering local load peak regulation capacity; obtaining a unit maintenance plan, considering to addthe power and local load peak regulation capacity of an energy storage wind power plant and a solar power station, and carrying out random production simulation of wind, solar energy, water, fire andpumping storage power generation; and obtaining hybrid particle swarm optimization to solve the power source structure planning model, and thus obtaining an optimal power source structure planning scheme. Compared with the prior art, the method has the advantages that users and electric automobiles are considered to serve as local load to participate electric power system peak regulation actively, the difference between peak and valley of the system can be reduced effectively and the difficulty of electric power system peak regulation is relieved.

The invention relates to a determination method based on an ANSYS second development platform of the initial completion initial cable force of a cable-stayed bridge. The method uses the design cable force as the target value, considers the geometric non-linear effect and performs iteration for solving and correcting the cable initial strain under the action of dead load. The method comprises the following specific steps: any group of cable forces is assumed to be added on the stay cable in the mode of initial strain, dead load is added to calculate, the *do-loop command language is used to extract the calculated cable force of the stay cable and check whether the error between the cable force and the target completion cable force is within an available limit; if the error is large, the indifference method is used to correct the stay cable initial strain, then the error is calculated again until the error is within the available limit; and the initial completion initial cable force can be obtained by multiplying the last calculated group of stay cable initial strains by the elastic modulus of the stay cable which is corrected by considering the vertical effect. By using the method, the solving time of the completion initial cable force of the cable-stayed bridge can be reduced and the precision can be increased, thus the method has large practical engineering application value.

The invention discloses a high-speed press base reliability robust design method considering dynamic characteristics. The method comprises the following steps of establishing a reliability robust design model for the dynamic characteristics of a high-speed press base; sampling design variables and uncertain parameters by adopting a Latin hypercube sampling method and acquiring a response value of a sample point by a cooperation simulation technology; according to input-output information of the sample point, establishing an RBF (Radial Basis Function) neural network model for forecasting index values of the dynamic characteristics of the base in objective and constraint functions; carrying out iterative refinement by utilizing a double-layer nested genetic algorithm on the basis of interval constraint violation, a uniform interval dominance degree and an interval sequence vector so as to obtain the optimal solution of a base design scheme. The method carries out dynamic characteristic reliability robust design on the high-speed press base on the basis of the RBF neural network model according to the actual design requirements of the high-speed press base and can conveniently and rapidly obtain the design scheme of the high-speed press base which accords with the reliability requirement and has robust.

The invention relates to a Beidou satellite navigation system performance monitoring device. The Beidou satellite navigation system performance monitoring device comprises a Beidou satellite text reception unit, a Beidou text monitoring analysis unit, a Beidou satellite autonomous positioning unit, a Beidou satellite time service unit, a positioning result detection unit, a synchronization precision detection unit, a user interaction unit and a power supply unit. The invention further provides a monitoring method for the Beidou satellite navigation system performance monitoring device. Abnormal text and data are timely identified and indicated in a satellite text monitoring process, corresponding measures can be conveniently adopted, reduction of damage caused by the abnormal text data is facilitated; accuracy of each type of text data can be identified, which satellite has abnormal parameters can be acquired through back stepping according to the positioning and time service result, abnormality reasons can be rapidly positioned on the condition of positioning and time service, and solution efficiency is improved. Beidou positioning and time service are carried out in real time, mastering performance of Beidou systems can be facilitated, reasonable positioning and time service algorithms can be selected, and development of high-performance Beidou application products is facilitated.

The invention relates to the technical field of web pages of an internet technology, and particularly discloses a social network platform system and an interaction method. The social network platform system comprises an international language module, a global social networking service module, an electronic commerce module, a credit evaluation module, a record retention module, an information synchronization module, a help module and a positioning module. The international language module is used for automatically identifying the language of a client-side. The global social networking service module is used for the client-side to carry out social activities. The electronic commerce module is used for the client-side to carry out electronic commerce activities. The credit evaluation module is used for evaluating the credit standing of the client-side. The record retention module is used for recording and storing the operating information of the client-side. The information synchronization module is used for carrying out real-time and synchronous update on the operating information of the client-side. The help module is used for solving the help requests of the client-side. The positioning module is used for positioning the geographic position of the client-side through a GPS. The social network platform system combines the electronic commerce and a social network site, saves a great amount of time of a user, provides different business environment modes for different industries, is convenient for users with different languages to operate and use, reduces the operation cost of a developer, pays attention to user experience, and enlarges the rights of own choices of the user.

The invention discloses an operator construction method of a single-star scheduling. The operator construction method comprises the following steps that a question classifier which is constructed based on a distribution form of a task set conducts classification on single-star scheduling sub-questions; (2) an ant colony algorithm is constructed; (3) a question operator knowledge base is constructed through question classification, an operator design ruler and a score triple and records the historical performance when each operator design is used for solving each type of questions, and therefore operator design decision support is provided for solution of new concrete questions in the feature. The operator construction method of the single-star scheduling has the advantage that under the condition that solution quality is guaranteed, the solving efficiency is high.

The invention discloses a power distribution network planning double-layer optimization model construction method based on operation limitation, which comprises the following steps of: constructing anupper investment construction optimization model and a lower scheduling operation optimization model by taking input construction time and site selection constant volume of lines and energy storage as decision variables; adding constraint conditions into an objective function by using a Lagrangian multiplier, converting an original optimization problem containing equality and inequality constraints into an unconstrained optimization problem, and finally solving the problem by using a Kuhn-Tucker condition; screening a limited operation scene based on the shadow price, wherein the shadow pricerepresents the reduced scheduling cost of assuming that the resource is expanded by one unit; and carrying out decoupling processing on the upper investment construction optimization model and the lower scheduling operation optimization model.

The invention relates to an intelligent robot obstacle avoiding method based on flow field. It includes the following steps: building the center of robot as point resource, and target point as points converging, and the flow field of obstacle or building a paralleling flow from original point to target point, and adding flow field of obstacle; building the basic formula group and boundary condition that the flow satisfied; solving the flow formula to gain speed and direction of each point in flow field; selecting the speed and direction of one flow line as the input of controlling robot.

The embodiment of the invention discloses a method, a device and a system for restoring faults. The method comprises the following steps of receiving a fault event, and inquiring if an experience base has the same fault event; if the experience base has the same fault event, calling up a solution from the experience base and sending to intelligent equipment in an update package or patch file way, so as to prompt the intelligent equipment to restore; if the experience base does not have the same fault event, obtaining a solution for the fault event provided by a professional person, and solving the fault event based on the obtained solution; judging whether the solution solves the fault event; if the solution solves the fault event, storing the fault event and the solution into the experience base, and sending the solution to the intelligent equipment to restore in the update package or patch file way; and if the solution cannot solve the fault event, the fault event is transferred to an outside line service to inform the door-to-door service. The method, the device and the system have the advantages that the problem solving efficiency of the intelligent equipment is improved, the cost is saved, and number of the door-to-door services of workers is reduced.

The invention relates to a flow scheduling method of a regional air traffic network, which is researched on the basis of the air traffic network. From the standpoint of air traffic flow, the invention researches the relation between the change of weather and the change of flight segment capacity, thereby establishing the relation between flight segment flow and travel time, discussing the relation between the reliability of the travel time of a scheduled flight and a scheduling rule under uncertain weather conditions, establishing a flow scheduling model based on Wardrop balance in the regional air traffic network, providing a method for balanced distribution of flow of each flight segment and scheduling policy of each flight route, providing decision support for air traffic planning management, and achieving the optimal scheduling of the scheduled flight.

The invention relates to the technical field of bearing designing, in particular to a multi-objective optimization design method of a spiral oil wedge bearing. According to the method, an oil film property calculation method based on solving a Navier-Stokes function is used for calculating the oil film properties of the spiral oil wedge bearing, a minitype multi-objective genetic algorithm is used for conducting multi-objective optimization design of a bearing structure, and a radial basis function surrogate model is established in the optimization process for calculating. The method comprises the following specific steps of establishing a mathematical model of a spiral oil wedge bearing multi-objective optimization design problem, sampling experimental design methods, establishing the radial basis function surrogate model, evaluating the precision of the surrogate model, using the minitype multi-objective genetic algorithm for solving the multi-objective optimization design problem and acquiring an optimal compromise solution. The multi-objective optimization design method is suitable for the multi-objective project optimization problem of the spiral oil wedge bearing, high global optimization capacity is achieved, the optimization efficiency can be effectively improved, the solving efficiency and the calculation precision of the algorithm are improved, and the time for calculation is little.