788results about How to "Improve optimization efficiency" patented technology

The invention discloses a method and a device for performing optimization on a delivery system. The method comprises steps of constructing a delivery model on the basis of practical delivery data of a delivery system, determining at least one group of order parameters to be simulated, wherein the order parameters at least comprise order stress and transport capacity, performing simulation optimization on the delivery model on the basis of at least one group of order parameters to be simulated, determining a delivery coefficient of the delivery model, determining a corresponding relation between the order parameter and the delivery coefficient according to at least one group of order parameters to be simulated and the corresponding delivery coefficient, and adjusting the delivery coefficient of the delivery system on the basis of the practical order parameter and the corresponding relation. The method of the invention determines the delivery model coefficients matched with the different scenes through the model simulation, optimizes the practical delivery system and realizes the quick optimization on the delivery system.

The invention discloses a switching method in a wireless cellular network, comprising the following steps: a base station reports the switching performance or switching problems to an information network core node, the network core node adjusts a switching parameter, and informs the adjusted switching parameter to the base station; the base station adjusts and broadcasts the switching parameter according to the instructions of the network core node. By adopting the method of the invention, the frequency of switching problems, such as ping-pong switching and the like occurring in the cell edge, is obviously lowered, and human intervention is reduced, thus the cost is lowered and efficiency of network optimization is improved. Besides, the technical scheme of the invention can be used for pilot frequency, different system switching parameters optimization and cell reselection parameters optimization.

The invention discloses an optimization method of a smooth and steady gliding trajectory of a hypersonic flight vehicle. The optimization method specifically comprises the steps that 1, a reentry dynamics equation and a trajectory process constraint are established; 2, a trajectory damping control technology is extended; 3, the trajectory damping control technology is utilized to improve the dynamics equation; 4, a hp self-adaptive Radau pseudo-spectral method is utilized to solve an optimal control problem. The optimization method effectively inhibits trajectory jumping by changing the dynamic characteristics of a reentry trajectory and establishes the optimal control problem having smooth and steady state characteristics by changing the dynamic characteristics of the reentry trajectory, the difficulty of numerical solution is greatly reduced, the high-precision smooth and steady gliding trajectory meeting multiple constraint requirements can be obtained within short time, the optimization efficiency of the smooth and steady gliding trajectory is improved, and the regularity of the trajectory optimization is greatly strengthened.

The invention relates to a terminal guidance method based on track on-line planning, and belongs to the technical field of guidance. The method comprises the steps as follows: firstly establishing a kinematic and kinetic model of an aerocraft, then carrying out initial-time lateral track design by adopting two tangential circular arcs as lateral reference track, and transforming random-time lateral track problem to initial-time lateral track problem by rotational and translational coordinate transform; designing longitudinal reference track as an elliptic curve according to the ground range-to-go and dive section trajectory characteristics obtained by lateral reference track; and calculating angle of heel mu and angle of attack alpha of terminal guidance according to the obtained current real-time dive section longitudinal and lateral tracks, inputting the angle of heel and angle of attack to an aerocraft model, and carrying out real-time planning and adjusting on the aerocraft track to meet the expected terminal condition, thereby realizing terminal guidance. The method is small in calculation amount, high in optimization efficiency, and short in calculation time; and the on-line planned dive section track meets the terminal constraint and can control the terminal velocity.

The invention provides an optimization design method based on a self-adaptive radial basis function surrogate model for an aircraft. The optimization design method comprises the following steps of: first, sampling an experimental design sample in a design space by adopting a latin square experimental design method and acquiring an aircraft high-precision analytical model response value corresponding to the experimental design sample; constructing an approximate aircraft high-precision analytic model of the radial basis function surrogate model; acquiring the global optimal solution of a current radial basis function surrogate model by utilizing a genetic algorithm; constructing an aircraft optimization design major sampling space according to current optimization flow information, increasing a few experimental design samples, and updating the radial basis function surrogate model; and acquiring the global optimal solution of the updated radial basis function surrogate model by utilizing the genetic algorithm again, judging whether an optimization flow is converged or not, stopping optimization if the optimization flow is converged, and reconstructing the aircraft optimization design major sampling space until the optimization is converged if the optimization flow is not converged. By using the optimization design method provided by the invention, the optimization efficiency is improved, and the optimization design cost of the aircraft is saved.

The invention discloses an aircraft multi-objective optimization method based on a self-adaptive agent model, relates to a multi-objective optimization method for treating complex aircraft design, and belongs to the field of aircraft design optimization. According to the aircraft multi-objective optimization method, an integrated preference function is constructed by use of a physical planning method to realize the conversion of the multi-objective optimization problem into a single-objective optimization problem reflecting design preference; next, the self-adaptive agent model is constructed from the integrated preference function and constraint conditions to take the place of a high-accuracy analysis model, and therefore, the problem of great time taken in calculation of optimization design is solved; finally, the constraint problem is converted into a non-constraint problem by use of an augmentation Lagrange multiplier method, and the non-constraint problem is solved by use of a genetic algorithm. The aircraft multi-objective optimization method has the advantages that the solving process of the aircraft multi-objective optimization method taking much time in calculation is simple and efficient, and therefore, a Pareto noninferior solution meeting the requirements of a user can be obtained quickly to shorten the design period of the aircraft, and the design cost is reduced. Besides, the aircraft multi-objective optimization method is high in universality and convenient for program development.

The invention provides a method for optimizing laser radar detection atmospheric composition spectral line analysis, through building of an IPDA laser radar equation of hard target reflection, calculation of difference optical thickness of two pulses and CO2 air column mixing rate XCO2 with a weight, single spectral line broadening calculation, absorption cross section calculation, CO2 absorption optical thickness calculation, a weight function profile and a CO2 molecule number density profile, weight function-optimized spectral lines are obtained. The spectral lines obtained by the method have a higher lower-atmosphere weight ratio, and detection is closer to a true value.

The invention discloses a zeroth-order resonator and a low-profile zeroth-order resonator omnidirectional circularly polarized antenna. The zero-order resonator is composed of a dielectric substrate, a metal patch, a metal floor and a short-circuit pin. The metal patch and the metal floor are respectively adhered on the two relatively parallel surfaces of the dielectric substrate. One end of the short-circuit pin is connected with the metal patch, and the other end is connected with the metal floor. The zeroth-order resonators are arranged at the external side of the radiation type feed network of the antenna in a surrounding way. Phase difference between two polarizations is enabled to be fixed at 90 degrees by the zeroth-order resonators, electric dipoles and magnetic dipoles are constructed by using a mode of circular ring group arrays, and the design of the zeroth-order resonator units and optimization of the circular ring array circularly polarized antenna are separated without considering the phase problem of two mutually perpendicular linear polarization components so that optimization efficiency can be enhanced, system resources can be saved and design efficiency can be enhanced. Besides, the designed omnidirectional circularly polarized antenna has the low-profile characteristic and can be applied to systems with the requirement for the antenna profile.

The invention discloses a CVT (continuously variable transmission) hybrid electric vehicle power source torque optimizing distribution method which comprises the steps of (1) building a whole vehicle transmission system dynamics equation which is related to an accelerator pedal opening value by taking the accelerator pedal opening value, accelerator pedal speed and power supply SOC (state of charge) as optimizing state variables and taking a required torque value as basic; (2) taking engine power as required input power of a whole vehicle, and setting power consumed for overcoming traveling resistance of the vehicle and storage battery power as output power of a system, and combining the whole vehicle transmission system dynamics equation in step (1) so as to obtain final required output power of the system; and (3) defining system efficiency according to the ratio of the required output power and the required input power, taking the highest system efficiency as an optimizing target, and optimizing to obtain power source target torque. The method of the invention can improve the whole vehicle working efficiency, solves a torque distribution problem at a driving working state, and can be widely applied to the field of hybrid electric vehicles.

The invention discloses a user awareness depth detection method based on MR and XDR, which comprises the following steps of S1, acquiring MR data and XDR data; S2, extracting user location informationfrom the XDR data; S3, by using the S1-MME interface data in the XDR data as a control plane and by using the S1-U interface data as a service plane, forming a service quality KQI index from the twodimensionalities including the control plane and the service plane; S4: establishing a scoring model of a user awareness MOS index, calculating a user awareness MOS value based on the scoring model and the service quality KQI index; S5, establishing a 'wireless performance-service performance-user awareness' three-layer analysis model according to a wireless performance KPI index, the service quality KQI index and the user awareness MOS value, and restoring the instantaneous wireless performance during poor quality of user awareness by the three-layer analysis model. The method, by means of the two-way linkage analysis between a wireless side and a service side, upgrades the analysis level of a poor-quality user from the cell level to the user level and improves the problem location accuracy and efficiency.

The invention discloses a simultaneous monitoring and optimizing system for multiple interfaces of wireless communication network, comprising: a terminal test module, a simultaneous and communication control module, an access network and core network signaling monitoring module and a data processing module. The invention further discloses a simultaneous monitoring and optimizing method for multiple interfaces of wireless communication network. The terminal test module as well as the access network and core network signal monitoring module of the invention are respectively in charge of terminal side signaling and parameter collection test as well as signaling collection analysis of access network and core network, synchronizes the collection process of the three parties by the simultaneous and communication control module, and then real-time processing and tabulate statistics are performed for the signaling and parameters by the data processing module, positioning and analyzing the network, thereby greatly improving optimization efficiency of wireless network.

The invention relates to a sequence radial basis function agent model-based high-efficiency global optimization method, and belongs to the technical field of multidisciplinary optimization in engineering design. The method comprises the following steps of: according to initial conditions given by a user, selecting sample points in a primary iteration design space, calculating a response value of a true model, constructing a radial basis function agent model, calculating the current optimal solution of the radial basis function (RBF) agent model, calculating a response value of the possible optimal solution of the current iteration in the true model, judging whether the global optimization method meets the convergence criterion, determining an important sampling space of the next iteration, increasing new sample points in the constructed important sampling space by an experimental design calculation method, saving the new sample points in a design sample point database and making k equal to k+1, and switching to the constructed radial basis function agent model for the next iteration. Through the method, the true models in the engineering design and analysis software are approximated, and the optimization design of the true models only takes several or dozens of seconds, so the period of the engineering optimization design is greatly shortened, the design cost is greatly saved and the efficiency is obviously improved.

The invention belongs to the technical field of mechanical design and relates to a topological optimization design method for a high-speed vertical machining centre long-span beam. The method is mainly for the topological optimization of the three-dimensional solid structure of the long-span beam. The method consists two parts of early basis analysis and topological optimization design; the early basis analysis is to grasp the static and dynamic properties of the original beam, find out the parts of relatively weak static and dynamic properties and perform structural topological optimization on the beam correspondingly; and in the later topological optimization design, based on the result of the basic analysis, the later structural topological optimization including two-dimensional topological optimization and three-dimensional topological optimization of the beam is performed according to the characteristics of the beam. In the topological optimization method, a density method is adopted, the volume fraction response is used as a constraint function, and the static strain energy response is used as a target function; and finally an innovative model is established again according to the results of the two-dimensional and three-dimensional topological optimization analysis. The structural topological optimization method has the advantages of improving the optimization efficiency, along with accurate and reliable optimized results.

The invention discloses a light source and mask optimization method for a lithography machine. The method comprises the following steps: taking the square of Euclidean distance between an ideal pattern and a photoresist image which corresponds to the mask under exposure of the current light source illumination mode as an evaluation function by utilizing a pixilated light source illumination mode and a mask, calculating gradient information of the evaluation function by utilizing a stochastic parallel gradient descent algorithm, guiding the light source and mask optimization process through the gradient information of the evaluation function, and thus obtaining the optimal light source illumination mode and mask pattern. According to the method, solution of a gradient analysis expression of the evaluation function is avoided, the optimization complexity is reduced, the optimization efficiency is improved, and the resolution ratio of the lithography machine is effectively improved.

The invention provides a phase-shift mask optimizing method based on an Abbe vector imaging model. The method provided by the invention comprises the following steps of: forming a phase difference of 180 DEG through arranging adjacent openings in a three-dimensional phase-shift mask and a phase of a central transmission area; arranging a variable matrix omega and constructing a target function D into a square of an Euler distance between a target figure and an image in optical resist corresponding to the current mask; and guiding the optimization of a phase-shift mask figure by utilizing the variable matrix omega and the target function D. The phase-shift mask which is optimized by using the method is not only suitable for the condition of small NA (Numerical Aperture), but also is suitable for the condition that NA is more than 0.6.

The invention discloses a closed-loop identification method for a servo feed system. In order to overcome defects that an open-loop identification method is limited in application range, few in identified parameter kind, unsafe in operation mode, unstable and the like, the closed-loop identification method is put forward to identify characteristic parameters of the system. The method mainly comprises the steps of modeling the servo feed system, and inputting drive signals and acquiring position feedback signals in a closed-loop state. By means of the identification method, parameters of the servo feed system can be identified, dynamic characteristics of the servo feed system can be effectively evaluated through closed-loop identification on the servo feed system, the method lays a foundation for the optimization of the servo feed system, the optimization efficiency is improved, and reference evidence can be provided for fault diagnoses of the servo feed system.

The invention provides a method for generating MIMO (multiple-input and multiple-output) radar orthogonal polyphase code signals on the basis of genetic-tabu hybrid algorithm. The method includes: firstly, randomly generating an initial population; secondly, judging whether a stop criterion of genetic algorithm is satisfied or not; thirdly, calculating a fitness function; fourthly, selecting by proportional selection; fifthly, intersecting; sixthly, mutating by tabu search algorithm; seventhly, updating the population, and returning to the step 3 for continuing genetic algorithm with the new population. Transmission signals with fine self-correlation and cross-correlation can be designed, and polyphase code waveform designed by the method has fixed phase and is easy to generate and more suitable for practical application.

The invention discloses a material breakage constraint-based continuum structure topology design modeling and optimization design method, which is used for solving (a) problems of stress concentration and singularity, and (b) a problem of maximum stress fluctuation and a problem of high analyzed and calculated quantity in different degrees in the prior art. In the method, effective stress constraint relaxation is adopted to treat the phenomenon of stress singularity. In the process of optimizing problem approximation modeling, a q1 norm metrical function of the structural stress serves as a penalty function, all unit stress constraints are replaced by q2 norm metrical function constraint of the structural stress, the most potential active unit stress constraints and the introduced volume constraints, and the local stress level is controlled by combining variable constraint limit. The optimization process of the method is divided into two optimization stages and a conversion stage, and the design space is automatically expanded and reduced. A quadratic programming method is utilized to solve each stage, a pure optimized structural topology in black / white distribution can be obtained, and the method has high optimization design efficiency.

The invention discloses an antenna downward inclination angle adjusting method and device based on an LTE network. The antenna downward inclination angle adjusting method and device based on the LTE network are used for solving the problems that in the prior art, due to manual intervention, resources are wasted, data are inaccurate, antenna downward inclination angles are arranged unreasonably, and the reliability of wireless transmission cannot be ensued. The method comprises the steps that a cell weak coverage coefficient and a cell overlapping coverage coefficient of each cell are obtained through simulation results of a propagation model, problem cells are screened out according to the cell weak coverage coefficients and the cell overlapping coverage coefficients of all cells, and lastly, the antenna downward inclination angles of all the problem cells are adjusted in sequence according to priorities of all the problem cells and the coverage areas of all the cells. In this way, the manual intervention is reduced, the resources are saved, the data are obtained through simulation calculation instead of experience values, the optimization process is simplified, optimization efficiency is improved, the accuracy of the antenna downward inclination angle is improved, and transmission reliability is ensured.

The invention relates to a method for determining the ply angle direction and thickness of a laminated board composite material. The method comprises the following steps of: (1) establishing a laminated board composite material design model, converting discrete variable in the model into continuous variable, adding corresponding restraints and generating a plurality of particles according to a specific initialization scheme, wherein the coordinate value of each particle is a design scheme; (2) recording the initial coordinate value of each particle as an individual optimal scheme to further obtain a global optimal design scheme; (3) updating positions of the particles first by using a particle swarm design method, and carrying out different maximum-iterations mathematical programming designs according to different types of the particles; (4) obtaining a new potential design scheme of the laminated board composite material and updating the individual and global optimal design schemes; (5) judging whether convergence conditions are met, and if not, turning to the step (3); and (6) taking the ply thickness in the global optimal design scheme and the ply direction of the rounded laminated board composite material as a final design scheme of the laminated composite material.

The invention relates to an optimum design method for an aircraft system based on a sequence radial basis function surrogate model and belongs to the technical field of optimum design of the aircraft system. According to the optimum design method, the thought of searching step range of trust domain solving high-dimensional optimization problem is applied to a supervisory sequence surrogate model, the sample space is gradually updated and the approximate precision of the surrogate model is promoted, so that the optimizing strategy convergence is guided to the globally optimal solution and the optimum design method provided by the invention has better global optimization capacity and optimization efficiency. The method is strong in universality. According to the method, the program development is conveniently realized, the optimum design means for the aircraft system is improved, the design cost is lowered and the requirement for multidisciplinary optimum design of the present aircraft system is met.

The invention provides a reconfigurable S box circuit structure, comprising a first composite matrix multiplication unit, a second composite matrix multiplication unit, a first constant addition unit, a second constant addition unit, a third constant addition unit, a fourth constant addition unit, a composite domain multiplication unit, a first selector, a second selector, a byte data input port, a byte data output port and a control signal input port. The first selector and the second selector are three-in-one selectors. According to the reconfigurable S box circuit structure provided by the invention, in a mode of multiplexing composite domain multiplication inversion unit, reconfigurable functions of AES (Almost Blank Subframe) encryption S box operation, AES decryption S box operation and SM4S box operation are realized. Through multiplexing of composite domain multiplication inversion, a circuit area is greatly reduced; a composite matrix structure in the reconfigurable S box is beneficial for the improvement of the circuit optimization efficiency; and the circuit area is further reduced.

The invention belongs to the field of automobile testing control, and relates to a finished automobile CAN (Controller Area Network) network automatic testing platform and an optimization method thereof. The testing platform comprises to-be-tested controllers, a simulation device and a host which are sequentially connected; the to-be-tested controllers are connected to an indication instrument; and the simulation device comprises a CANoe unit, a CAN bus interferometer and a CAN bus digital oscilloscope. The optimization method comprises the steps of: simulating the to-be-tested controller of each node on a vehicle by the CANoe unit, carrying out modeling on each to-be-tested controller, and carrying out testing on node data on a CAN network by utilizing an established model; testing an application layer, a physical layer and a data link layer of the CAN network; and in a real load case, monitoring communication capacity of the CAN network by the CANoe unit, carrying out comparison analysis with testing results obtained in the first two steps, and carrying out modification or regulation on the CAN network. The testing platform and the optimization method thereof, which are disclosed by the invention, are high in efficiency and good in expansibility, an error rate of data transmission is effectively reduced, and reliability of communication is ensured.

The invention provides a method for designing a plane reflection array antenna. The method comprises the following steps: establishing an array element model in a circular polarization manner, wherein the resonant frequency of the array element model meets design requirements, and the phase position difference of a main polarization reflected wave and a cross polarization reflected wave is 180 degrees; using the array element model to establish a primary plane reflection array antenna model; calculating a directional diagram of the primary plane reflection array antenna model according to an incident excitation wave of the plane reflection array antenna; optimizing the directional diagram of the primary plane reflection array antenna model according to an intersection algorithm; obtaining excitation and compensation phases of each array antenna element model in the primary plane reflection array antenna model according to the optimized directional diagram of the primary plane reflection array antenna model; adjusting the phase of each array antenna element model in the primary plane reflection array antenna model according to the excitation and compensation phases of each array antenna element model in the primary plane reflection array antenna model, so as to obtain the design result of the plane reflection array antenna.

The invention discloses a method for improving robot parameter identification accuracy and belongs to the field of industrial robot control. The method comprises optimizing stimulation trajectories through a genetic algorithm; stimulate a robot to perform cyclical movement according to the optimized stimulation trajectories; sampling actual joint positions and actual torque data during moving and processing the data to obtain torque values, joint positions, joint speeds and joint accelerated speeds which are high in signal to noise ratio; establishing a dynamic linear model, and identifying all parameters related to joint dynamics through a weighted least square method. By the aid of the method, the actual trajectory Fourier series form is fit through an inverse method, and accordingly, speeds and accelerated speeds which cannot be obtained directly in experiments can be obtained conveniently, noise signals in sampling position signals and torque signals can be eliminated through an equalization method, the signal to noise ratio is improved and the robot parameter identification accuracy is improved.

The invention provides a method for optimizing layout design rules, wherein aiming at research and development of advanced technological nodes, an initial layout is split from an initial layout, and the key graph is taken as a layout for subsequent simulation optimization; during the optimization, through combination of a light source masking and optimization simulation, a rational light source, a matched masking template and an optimized photo-etching optical model are determined; then, under the photo-etching optical model, manufacturability of the optimized light source and the optimized masking template is simulated; the design rules are optimized according to hotspot output of the manufacturability simulation; and the optimized design rules are obtained through repeated iterations. During the optimization, the key graph layout is optimized, so that feasibility and optimization efficiency are high. Through adjustment of the design rules, the quantity of iterations in the layout simulation can be reduced and the optimization efficiency can be increased on one side; and on the other side, the more optimal design rules can be obtained, design courses are simplified, and design duration is shortened.

The invention provides a distribution automation scheme optimization method and system based on reliability benefit evaluation. The method comprises the steps of collecting historical risk basic data and determining basic reliability parameters of an element; building a distribution network reliability calculation model comprising distribution automation equipment; setting element faults respectively, marking out a faulty section and a non-faulty section according to the position of a switch of the distribution automation equipment, and determining the faulty frequency and fault power-outage time of load points of the faulty section and the non-faulty section; obtaining the total fault frequency and total fault power-outage time of each load point by accumulating the fault frequency and the fault power-outage time of each time of the element faults; according to the total fault frequency and the total fault power-outage time, obtaining reliability indexes of a distribution network before and after the distribution automation equipment is applied; calculating a difference between the reliability indexes of the distribution network before and after the distribution automation equipment is applied, and optimizing a distribution automation planning scheme according to the difference and the type of the distribution automation equipment. By applying the distribution automation scheme optimization method and system based on reliability benefit evaluation, the optimization effect can be improved.

The invention discloses a method and a device for automatically optimizing an adjacent cell. The method and the device are used for saving the labor power for test analysis, increasing the efficiency of network optimization and reducing the cost of network optimization. The method for automatically optimizing the adjacent cell provided by the invention comprises the following steps of: confirming a cell with worsened performance according to OMC (Operation Maintenance Center) performance data of a running management center; performing optimizing analysis for adjacent cell relation on the cell with the worsened performance according to an automatic adjacent cell optimizing ANR file and an automatic drive test data, and confirming an adjusting list for the adjacent cell relation; and sending the adjusting list for the adjacent cell relation to an RNC (Radio Network Controller).

The invention relates to a control strategy optimization method and device and computer equipment of an air conditioning system. The control strategy optimization method comprises the following stepsof acquiring an actual operation environment of the air conditioning system; acquiring a simulation energy efficiency ratio of the air conditioning system according to the actual operation environment; acquiring an actual energy efficiency ratio, and based on the simulation energy efficiency ratio and the actual energy efficiency ratio, optimizing an air conditioning control strategy of the air conditioning system. The control strategy optimization method can improve the optimization efficiency of the air conditioner control strategy.

The embodiments of the invention disclose a method and a device for recognizing the emotion of a voice session, a server and a storage medium. The method includes the following steps: recognizing a session voice based on a priori emotion recognition rule to get a first recognition result; recognizing the session voice by using a pre-trained emotion recognition model to get a second recognition result; and obtaining the emotional state of the session voice according to the first recognition result and the second recognition result. According to the embodiments of the invention, by merging the prior knowledge accumulated through a great deal of manual experience and practice and proved to be effective into the recognition of voice emotions, the voice emotion recognition result can be quicklyjudged and interfered with after simple data comparison, the effect of the emotion recognition model can be improved more quickly and clearly, and the optimization efficiency of the emotion recognition model and the speed and accuracy of voice emotion recognition can be improved.