588results about How to "Improve optimization effect" patented technology

The invention provides a method and a system for optimizing a game operating environment, a client and a server. The method comprises the following steps of: detecting whether a user interface enters a game scene; sending an update request of optimal rule to the server when the user interface enters the game scene; receiving the optimal rule returned by the server; and optimizing the operating environment of the game scene according to the optimal rule. According to the method, the server acquires the optimal rule when a user is gaming, and the current game operating environment is optimized according to the optimal rule; since more optimal rules can be saved in the server, different optimal rules can be sent according to different clients; comprehensive optimal operation can be carried out; moreover, the optimal rules can be more suitable for individual users, better optimal effect is achieved, and more user experiences are enhanced.

The invention discloses a data transmission method, device and system. The method comprises that an identifier and the priority of a target process are obtained; a data packet which is transmitted in the target process is obtained; the DSCP value of an IP header structure in the data packet is obtained and adjusted according to the priority of the target process; and the adjusted data packet is sent to a router so that the router optimizes the data packet according to the processing priority of the received data packet. According to the method, the processing priority of the data packet is adjusted by modifying the DSCP value of the IP header structure of the data packet, the router implements optimization according to the adjusted processing priority of the data packet, network data is optimized, packet loss processing is not needed in data packet upload and download in unit time, the data packets are prevented from loss, the present network stability and broadband utilization rate are improved, and the data optimization effect is improved.

The invention provides a method and system for laser-IMU external parameter calibration. The method comprises steps of acquiring IMU measurement data and laser radar measurement data; carrying out IMUpre-integration of the obtained IMU measurement data, carrying out calculation to obtain an IMU pose transformation estimated value of the IMU relative to the IMU initial pose at the next moment, andaccording to the estimated value and an actual measurement value of the IMU at the next moment, obtaining an associated residual error associated with the data; processing measurement data of the laser radar, utilizing IMU pre-integration to obtain projection coordinates of reprojecting a plurality of laser radar points to a world coordinate system, and calculating a reprojection error from eachlaser radar point to a calibration target map; adopting a nonlinear least square method to iteratively optimize laser radar-IMU external parameter calibration so that the external parameter calibration result can be obtained. The method is advantaged in problems that in laser-IMU external parameter calibration, mechanical external parameters are not easy to obtain, manual measurement errors are large, and measurement is troublesome are solved, defects of the laser radar and the IMU are mutually overcome to a certain extent, and pose solving precision and the speed of the SLAM method can be improved.

The invention discloses a method for realizing rapid video coding by adopting hierarchical structure anticipation, which relates to the field of video compression coding. The method comprises the following steps of: extracting the brightness information of a current coded macro block from original video data; defining, calculating and comparing time/space correlation characteristics of the current coded macro block, and anticipating whether the macro block may adopt inter-frame prediction or intra-frame prediction; and if the macro block adopts the inter-frame prediction, defining and calculating the flatness characteristic of the macro block, dividing the current coded macro block into one type of a flat macro block, a texture-rich macro block and a characteristic-unremarkable macro block according to the flatness characteristic, anticipating a set of inter-frame prediction mode to be adopted in a targeted way, determining an optimal inter-frame prediction mode in advance to realize rapid inter-frame compression coding. By the method provided by the invention, the inter-frame coding complexity and coding time are greatly reduced on the premise of ensuring lossless video quality, not increasing compression code rate and keeping an output code stream structure, and the high performance of high compression ratio of a conventional standard algorithm is maintained.

The invention discloses an optimization design method of an impellor for a cavitation-erosion-resistant centrifugal fan. The method is characterized by acquiring a front cover plate two-dimensional airfoil epiphyseal line, an intermediate two-dimensional airfoil epiphyseal line and a rear cover plate two-dimensional airfoil epiphyseal line on a circumferential XY plane of an original impellor; constructing impellor optimization parameters after parameterization, and constructing an epiphyseal line after variation; inputting the front cover plate two-dimensional airfoil epiphyseal line, the intermediate two-dimensional airfoil epiphyseal line and the rear cover plate two-dimensional airfoil epiphyseal line which are acquired through three dimension variation into a geometric modeling software, thus an impellor three-dimensional shape after variation is formed; measuring and calculating water conservation performances on the basis of single channel meshing; taking a non-dominated sorting genetic algorithm (NSGA-II) of a multi-objective genetic algorithm as an optimization tool, and carrying out multi objective optimization design on the impellor parameters of the centrifugal fan; and selecting a group of impellor parameters with optimal water conservation performance as the impellor parameter after optimization. The method provided by the invention has scientific construction ofoptimization parameters, the optimization process has high automatic degree, the impellor and blade efficiency of the centrifugal pump is high after optimization, and the cavitation erosion performance is outstanding.

The invention discloses a universal gravitation search-based unmanned plane air route planning method, which comprises the following eight steps: 1, establishing an unmanned plane air route planning mathematical model; 2, setting initialization improved universal gravitation search algorithm parameters and battlefield environmental parameters; 3, randomly initializing N routes and initial positions and accelerated speeds of various particles, and establishing a rotating coordinate system; 4, calculating threat cost of each route according to threat information and the mathematical model; 5, updating inertial mass Mi(t) of the particles according to a weight-based rule; 6, calculating the sum of accelerated speeds of each particle in all directions according to a universal gravitation standard, and updating the speeds of the particles according to a group information speed updating rule; 7, updating the position of each particles according to the updated speed of each particle and the choice of survival of the fittest; and 8, if the number of iterations is greater than the maximum number of iterations, exiting a circulation, otherwise, returning to the step 4 for next iteration. The obtained optimal air route coordinate is subjected to coordinate inverse transformation and a result is output.

The invention discloses a search method and system for optimal splicing lines among images based on graph-cut energy optimization. According to the method, data preparation of the images to be spliced is performed, and all overlap regions and corresponding overlap degrees among all the images to be spliced are obtained; the images to be spliced are preprocessed, color, gradient and texture information is comprehensively considered to determine a graph-cut global energy function which includes a data item and a smooth item, weighting setting is performed on energy of the smooth item, the graph-cut energy optimization method is adopted for optimizing total energy, and therefore the optimal splicing lines are obtained. The obtained splicing lines are prevented from passing through regions which are overlarge in color difference and complex in texture and passing through edges obvious in ground feature as much as possible, so that optimization of the splicing lines is ensured to the maximum degree, the problem of optimizing multi-image multi-degree overlap region splicing lines in a combined mode is solved, and the application range is wide.

The invention discloses an optimization method of control parameters of a servo system of a numerical controlled machine tool. The optimization of the control parameters of the servo system of the numerical controlled machine tool affects important indicators of the machine tool such as highest moving speed, positional accuracy and repeated positioning accuracy, and further decides outline accuracy and surface quality of machining workpieces. However, the control parameters of the servo system of the numerical controlled machine tool are various, coupling between the parameters is strong, the parameters are of nonlinearity characteristic, and the parameters are complex as the number of linkage shafts of the numerical controlled machine tool increases. The invention provides an automatic optimization method of the control parameters of the servo system of the numerical controlled machine tool. The automatic optimization method of the control parameters of the servo system of the numerical controlled machine tool is capable of optimizing the control parameters of a multi-shaft and multi-servo system synchronously in real time. Meanwhile, the automatic optimization method of the control parameters of the servo system of the numerical controlled machine tool has the advantages of being high in optimum efficiency, fast in speed of convergence of the control parameters, capable of being transplanted into different numerical controlled systems to be used, and the like. The automatic optimization method of the control parameters of the servo system of the numerical controlled machine tool is capable of seeking an optimal control parameter value of the servo system of the numerical controlled machine tool.

The invention discloses an optimization programming and evaluation method of a micro-grid power supply. Under grid connection and island operation modes, a mathematical model of distributed power supply optimization programming in a microgrid is established respectively. Constraint conditions of diesel generator starting and operation are considered so that optimization configuration of scientific wind power, photovoltaic and fuel cells, a diesel generator and an energy storage capacity is acquired. A heredity and particle swarm algorithm is used to carry out optimization programming on the power supply in the microgrid. A programming scheme evaluation method including a stable power supply duty ratio, total investment, a time-shifting electric quantity of energy storage, power supply capacity adequacy and longest running time of the diesel generator is established. Correctness of a programming method and rationality of a programming result are guaranteed.

The invention discloses an intelligent bus scheduling method based on a hybrid heuristic algorithm. A simulated annealing algorithm and a generic algorithm are combined, and an elitism strategy and a fitness stretching function are added. Individuals with maximum fitness in a population of each generation are directly retained to a next generation, so that the individuals are protected from being damaged by crossover and mutation operation. Through the fitness stretching function, differences among the individuals are reduced at the initial stage of the algorithm, so that the diversity of the population is increased, and the generic algorithm is prevented from falling into a local optimal solution. At the later stage of the algorithm, the differences among the individuals are increased, so that the selection probability of excellent individuals is increased, and a convergence speed is increased. The intelligent bus scheduling method is high in speed; an optimized scheduling plan can be obtained within a short time under the condition of given departure time frequency; and the waiting time of passengers is shortened greatly. The departure frequency can be adjusted dynamically, so that the departure frequency is accordant with the change rule of a total passenger flow volume. The departure time intervals can be adjusted dynamically, so that the waiting time of the passengers is shortened greatly.

The invention discloses a layout optimization method for a camera in a binocular vision measuring system, belongs to the fields of computer vision detection and image detection, and particularly relates to the layout optimization method for the camera in the binocular vision measuring system for obtaining dimension parameters of a large-scale forging piece. In the binocular vision measuring system, image point extraction deviation caused by image sampling is considered, a mathematic relation model, namely a camera layout optimization mathematic model, is established between a measuring error which is caused by the image point extraction deviation and three structural parameters of a camera focal distance, a reference line distance and a camera deflection angle, and an optimized structural parameter combination is obtained by utilizing a genetic algorithm. According to the layout optimization method disclosed by the invention, the layout optimization design of the camera in the binocular vision measuring system is realized by utilizing the genetic algorithm, minimization of the measuring error caused by the image point extraction deviation is achieved, effective theoretical guidance and reference can be provided for reasonable layout of the camera under the situation that the camera is not calibrated, and the layout optimization method has the characteristics of good optimization effect and strong applicability.

The invention discloses a multi-time scale rolling micro-grid energy optimization management method. Firstly, two time scales are divided, the intra-day optimization aims at the minimum of the operating cost and the system network loss, the constraints of start, stop and operation of each distributed power supply are taken as constraints, and at the same time, a mathematical model for intra-day optimization is established in consideration with three load response costs and the constraints. The real-time optimization uses the intra-day optimization result as a reference, and the rolling optimization solution in the future finite time domain is performed by using a model prediction control algorithm. The method can comprehensively consider the constraints of various distributed power supplies and various load characteristics to ensure the safe and stable operation of a micro-grid, at the same time, considers the power consumption and improves the operating economic efficiency of the micro-grid.

The invention provides a coordination control method for a multi-unmanned aerial vehicle team based on predation escape pigeon optimization. The method comprises seven steps: firstly, initializing algorithm parameters and predation escape parameters; secondly, initializing initial positions and speeds of the pigeons and calculating respective fitness values; thirdly, introducing a map compass operator and updating the speeds and the positions of the pigeons according to a formula; fourthly, introducing a predation escape process and updating the positions of the pigeons according to the formula; fifthly, stopping the map compass operator and the predation escape process and executing the next step if the iteration frequency is greater than the maximum iteration frequency T1 of the map compass operator; repeating the previous step if not; sixthly, introducing a landmark operator and ranking all the pigeons according to the fitness values of residual pigeons (wherein half of the pigeons with low fitness value follow the other half of the pigeons with high fitness value), and updating the positions according to the formula; seventhly, stopping the landmark operator and outputting the final result if the current iteration frequency is greater than the maximum iteration frequency T2 of the landmark operator; and repeating the previous step if not.

The invention provides a wMPS network layout optimizing method based on simulated annealing particle swarm optimization. A measuring station layout optimizing aim is one of important aims in use of a wMPS. The method aims at achieving the aim that due to the optimized measuring station layout, a to-be-measured region can be comprehensively covered with certain cost, and the requirement for measuring accuracy can be met. According to the wMPS network layout optimizing method, a reasonable positioning error model is built, a multi-objective optimization function is defined, and the network layout of the wMPS is optimized with the simulated annealing particle swarm optimization. The measuring-station network optimized layout aim of the wMPS in engineering application is effectively achieved through the rapid convergence capacity of the particle swarm optimization and the global convergence capacity of the stimulated annealing algorithm. Along with increasing of the number of measuring stations, the method has good expansibility and can provide a novel method with high adaptability for the multi-station networking measuring layout optimizing aim based on an angle intersection principle, and important theoretical value and practical significance are achieved.

The invention provides a PID locomotive automatic driving optimal control method based on reinforcement learning. The PID locomotive automatic driving optimal control method comprises the steps of: regarding current route information and a speed difference between a locomotive actual running speed and an optimal speed as input of reinforcement PID at first, acquiring a group of optimal PID controlparameters through reinforcement learning, realizing PID control according to the optimal PID control parameters provided by a reinforcement learning module, providing a control quantity, and controlling operation of a locomotive. The PID locomotive automatic driving optimal control method applies reinforcement learning to PID parameter adjustment, can interact with the environment by means of reinforcement learning, has the self-learning capability, can realize the PID control having the optimal parameter group, improves the optimization effect, and reduces manual design difficulty.

The embodiment of the invention discloses a switched parameter self-optimizing method and device. The method comprises the following steps: dividing the types of the reasons of abnormity of switching of a neighbouring region of an inter-system; determining the types of service of UE when the UE is switched to the neighbouring region of the inter-system; respectively carrying out statistics on the numbers of times of too early switching, first too late switching and second too late switching of each type of service; during MRO (mobility robustness optimization), carrying out corresponding switched parameter adjustment when the statistical results conform to a certain preparatory condition. The switched parameter self-optimizing method and device have the beneficial effects that the determined types of the abnormity of neighbouring region switching simultaneously have two kinds of attributes, namely the reasons of the abnormity of switching of the neighbouring region of the inter-system and the types of service of the UE when the UE is switched to the neighbouring region of the inter-system, so corresponding switched parameter adjustment can be simultaneously carried out during optimization according to the reasons of the abnormity of switching of the neighbouring region of the inter-system and the corresponding types of service, and then the switched parameter self-optimizing effects can be effectively improved.

The invention discloses an optimized method, device and system for eliminating echo, aiming at solving the problem that the traditional echo eliminator is poor in elimination effect. The optimized method for eliminating echo comprises the following steps of: acquiring recording data by a recording thread, wherein the recording thread is started prior to a playback thread; acquiring a playback sampling rate and a playback buffer region length corresponding to the playback sampling rate, and calculating the playback delay time duration according to the playback sampling rate and the playback buffer region length corresponding to the playback sampling rate; after the playback data is transmitted to the echo eliminator to start the echo eliminator, separating recording data which is arranged on the top in the obtained recording data after the echo eliminator is started and corresponds to one playback delay time duration; and transmitting the recording data which is arranged behind one playback delay time duration in the recording data obtained after the echo eliminator is started to the echo eliminator for carrying out echo elimination processing.

The present invention provides an optimal scheduling method of parallel batch processing machines. According to the characteristics of the batch scheduling problem, a probability model is established based on group batches of the workpieces; a corresponding individual sampling and probability update method is designed; the population generation of the compact genetic algorithm and the probability update mechanism are improved; and a novel intelligent algorithm for solving the batch scheduling problem is provided. On the premise of satisfying the batch switching-on production requirement of batch processing machines, the production is accelerated, and the production cycle is shortened. Through flexible parameter setting, different batch scheduling problems may be solved, different conditions, such as one machine/a plurality of machines, same arrival time/different arrival time, same size of workpieces and different sizes of workpieces, and limited capacity of the batch processing machines/unlimited capacity of the batch processing machines, are able to be flexibly combined, and the generality of the optimal scheduling method of parallel batch processing machines is high.

The invention discloses an electric-hydraulic composite braking system for an electric automobile and an optimization method of the electric-hydraulic composite braking system. The electric-hydraulic composite braking system for the electric automobile comprises a motor regeneration braking force module, a hydraulic braking force module and a composite braking force control module. The motor regeneration braking force module comprises two hub motors, a brake pedal position sensor, four wheel speed sensors, an automobile speed sensor, a super-capacitor, a two-quadrant DC-DC converter and a first ECU. The hydraulic braking force module comprises an oil pump motor, a hydraulic oil pump and a second ECU. In the traveling process of the automobile, through detection of the automobile speed and the wheel speed of automobile traveling and brake pedal position signals, the composite braking force control module controls the distribution ratio between the motor regeneration braking force module and the hydraulic braking force module. Meanwhile, through multi-objective optimization conducted on the electric-hydraulic composite braking system, the braking pedal feeling and motor recovered energy serve as objects, and under the ECE laws and regulations, the relatively high energy recovery rate and the proper brake pedal feeling are obtained.

A survey station optimization deployment problem is one of important problems in use of a spatial measurement positioning system. The present invention provides a survey station layout intelligent optimization method of a spatial measurement positioning system, so that an optimized survey station layout can fully cover a tested area under certain costs and a requirement of measurement accuracy can be met. According to the present invention, a proper positioning error model is established from three aspects of constraint analysis, optimization objective, and optimization means, a multi-goal optimizing function is defined, and survey station layout optimization of the spatial measurement positioning system is implemented by using a practical intelligent optimization algorithm. According to the survey station layout intelligent optimization method of a spatial measurement positioning system, a survey station network optimization deployment problem of the spatial measurement positioning system in an engineering application is effectively resolved. As a quantity of survey stations increases, the method has good expansibility, provides a new method for a multi-station networking measurement layout optimization problem based on an angle intersection principle, and has important theoretical value and practical significance.

The invention discloses a distribution network reconstruction optimization method based on multi-objective optimization. The method includes the following implementation steps that the current system losses, the load balance index and the minimum node voltage of a distribution network are respectively calculated, whether reconstruction optimization is needed or not is judged, if reconstruction optimization is needed, the distribution network is reconstructed, and then an optimal topological structure is acquired; when the load balance index or the minimum node voltage exceeds threshold values, network reconstruction operation is directly executed, when only the system losses exceed threshold values, an economic benefit evaluation index needed for switching the distribution network from the current topological structure to the optical topological structure is calculated, and if the index is larger than a designated threshold value, it is judged that economic benefit evaluation passes and the network reconstruction operation is executed; or else evaluation does not pass and the network reconstruction operation is not executed. The reconstruction optimization effect of the distribution network is good, economic benefit evaluation can be conducted before execution of the network reconstruction operation, waste is avoided, use is convenient, resources are saved, and economical efficiency and safety are good.

The invention discloses a flexible optimization scheduling method considering wind-solar and load uncertainty for a comprehensive energy system. The method comprises the steps of generating a scene through Monte Carlo sampling; aiming at uncertainty of wind-solar output and cooling-heating-power load requirements of a comprehensive energy system, a processing means of a multi-scene method is adopted for analysis, and a quick preceding generation method of probability distance is adopted for scene reduction; establishing a target function by taking minimum operation cost adjustment of the comprehensive energy system for conversion among multiple scenes as a target; establishing constraint conditions; a genetic algorithm is adopted to solve and analyze a model composed of an objective function and constraint conditions, the adjusted operation cost between system scenes and the influence of LNG cold energy power generation on the operation cost of the comprehensive energy system are compared, and comprehensive energy system optimized operation strategies under different electricity price scenes are provided.

An embodiment of the invention discloses a method for handling a radio link failure report, a method for statistical treatment of abnormal events and equipment and a system. Among them, the method for handling the radio link failure report may include the steps of a user device generating the radio link failure report which carries an A2 event instruction recorded by the user device; and reporting the radio link failure report. According to the embodiment of the present invention, the technical solutions are beneficial for enhancing switch parameter optimization capability of a network side.

The invention relates to a method for determining the illumination intensity distribution of a light source and a mask pattern of a photo-etching process and belongs to the technical field of manufacturing of an integrated circuit. The method comprises the following steps of: determining the initial shape and initial illumination intensity of the light source, and representing the initial shape and the initial illumination intensity by matrixes; determining an initial pattern of a mask, and representing the initial pattern of the mask by a pixel matrix; adding two compensation items and establishing a target function by using imaging accuracy and focal depth in photo-etching process as a basic optimization target; calculating and normalizing the illumination intensity distribution after the mask pattern is subjected to action of a photo-etching system; repeating the calculation step until a condition of convergence is met; obtaining a light source matrix and calculating an imaging nucleus of the photo-etching system and coefficients of the imaging nucleus; calculating an illumination intensity distribution matrix; calculating a pattern which is etched on a silicon wafer and representing the pattern by the matrix; calculating the gradient of the target function on the matrix; updating the matrix; and repeating the calculation step until the condition of convergence is met. The method for optimizing the light source and the mask of the photo-etching process has the advantages of short time and good optimization effect.