225results about How to "Reduced solution time" patented technology

An optimal joint distribution method for the power of source and relaying nodes in the collaborative communication, is used for the wireless communication field. In the invention, under a multiple-relaying -node multiple-receiving-antenna system model, the gross power of the system is rated, first, a water injection algorithm is used to conduct the one-time power distribution for each relaying node according to the second channel hopping state information, then the gross power of the relaying node is taken as the integral, and the gross power of the relaying node and the source nodes is in the power distribution by using the water injection algorithm according to the first channel hopping state information, at this moment, the joint power distribution of all nodes in the one-time system is completed, subsequently, the iterative algorithm is adopted to repeat the mentioned above steps until the iterative required precision reaches, thus reaching the optimal joint power distribution of all nodes in the system and obtaining the optimum channel capacity of the system. The emulation result proves that the optimum joint distribution of the power can obtain further channel capacity, and the iterative algorithm can greatly simplify the complicated degree and the calculation amount of the calculating. the invention is suitable for a future 4G radio communication system widely.

The invention discloses a space-borne SAR image target positioning method capable of eliminating ground elevation errors, comprising the following steps: (1) acquiring needed ephemeris parameters; (2) respectively calculating target slant-range parameters, Doppler parameters and state vectors of a satellite; (3) substituting the target slant-range parameters, the Doppler parameters and the state vectors in step (2) into a target positioning equations set, and then solving the equations set to obtain a ground target position; and (4) taking the x, y and z coordinates solved in step (3) as the coordinates under an inertial coordinate system, transforming the coordinates into a geocentric rotating coordinate system xc, yc and zc by a coordinate transformation mode, transforming the geocentric rotating coordinate system into geocentric longitude and latitude Lc and Deltac, and finally transforming the geocentric longitude and latitude into geographical longitude and latitude lon and lat. In the method, the target positioning equations set does not contain an earth model equation, thus eliminating positioning errors caused by the ground elevation errors, avoiding the difficult problem of solving a Range-Doppler (R-D) positioning equations set, and being beneficial to real-time processing of ground target positioning.

The present invention relates to an analysis and prediction method for dynamic performances of a rubber material structure, and particularly to a step-by-step analysis and prediction method for the dynamic performances of the rubber material structure. The step-by-step analysis and prediction method is used for performing finite element analysis and prediction of the high-frequency dynamic performances on the rubber material structure. The method comprises the following test and prediction steps: step one, fitting a super-elastic constitutive relation of the rubber material; step two, performing a viscoelasticity property test on the rubber material under different strain amplitudes; step three, fitting a viscosity constitutive relation of the rubber material; and step four, analyzing and predicating the dynamic performances of the rubber material structure. A calculation result is a final result, without the need of superposition of the calculation result, thereby reducing the computational difficulty and shortening the solution time; and an actual modeling and analysis process is more simple, clear, and easy to understand and operate, and has higher prediction accuracy, so as to meet the requirements of engineering analysis.

The invention discloses a GPS positioning method and GPS software receiver which is based on dual-core processor, wherein, GPS positioning method includes the following steps: lower frequency process, signal capture, parallel arithmetic carrier wave, C/A code tracking process, pseudorange and ephemeris data resolving, satellite preferable choice, single point positioning resolving involved in GPS receiver and output; GPS software receiver which is based on dual-core processor, including GPS PF hardware part and PC, the PC machine at least includes two parallel equipped processors the first arithmetic processor and second arithmetic processor. The invention GPS positioning method uses multi-operation core processor as the operation platform, which designs and achieves parallel processing and algorithms for capturing and tracking GPS signal, which reduces resolving time significantly and enhances working efficiency of work.

The invention discloses an abrasion-proof and corrosion-resistant nickel-based alloy wire and a preparation method thereof. The alloy wire comprises the following components: 17-21% of C, 20-25% of Co, 1.8-2.2% of W, 6.4-9.5% of Mo, 1.4-1.8% of Al, 3.2-4.5% of Ti, 0.1-0.5% of Nb, 0.1-0.5% of Hf, 1.2-1.8% of Ta, 0.03-0.06% of Re, 0.01-0.05% of Ce, 0.02-0.1% of C, 0.005-0.015% of B, 0.02-0.07% of Zr, 0.005-0.008% of Mg, and the balance Ni. The preparation technology of the alloy comprises the steps of vacuum smelting, remelting, forging, hot rolling, drawing, solid solution treatment and aging treatment, namely, raw materials are prepared and smelted based on mass percent and then smelted; the smelted materials are forged and rolled into obtain alloyed wire rods; the alloyed wire rods are drawn at a plurality of times to obtain phi 0.05-0.4mm alloy wires; finally the alloy wires are subjected to solid solution treatment and aging treatment. The abrasion-proof and corrosion-resistant nickel-based alloy wire can be used as a brush wire material for brush sealing of an aircraft engine, a gas turbine, etc., thus the brush sealing effect can be effectively improved, and the service life can be prolonged.

The invention discloses a distributed power supply-containing distribution network reactive power planning method based on a hybrid intelligent algorithm. Firstly, a random power output model of the distributed power supply is established, a random variable is introduced to represent a wind speed, a distributed power supply-containing reactive power optimization planning problem is used as an uncertain planning problem for research, and a distributed power supply-containing distribution network reactive power planning model based on chance-constrained programming is established; and then, by using the good regression generalization performance of a support vector machine, the global optimization feature of an artificial fish swarm algorithm and the local optimization ability of a particleswarm algorithm, the support vector machine, the particle swarm algorithm and the artificial fish swarm algorithm are organically combined, a hybrid intelligent algorithm is constructed, a stochasticsimulation technique is used, and the distributed power supply-containing distribution network reactive power planning model based on chance-constrained programming is effectively and quickly solved.The support vector machine, the particle swarm algorithm and the artificial fish swarm algorithm are effectively combined, the system power flow calculation times are reduced on the premise of meetingthe decision making precision, and the solution speed is improved.

The invention discloses an integrated scheduling method for a multi-roadway automatic stereoscopic warehouse based on a mixed integer programming model which comprises the steps that step 1, a tray/order arrives so as to perform step 2; if no tray/order arrives, performing the step 5; step 2, carrying out correlation analysis based on a K-Medoids clustering algorithm on arrived tray products making clustering analysis on arrived tray products, finding class clusters where tray products are located, solving an initial goods allocation range, wherein correlation analysis implementation process based on K-Medoids clustering algorithm is as follows: K-Medoids clustering algorithm is used for carrying out correlation analysis: step3, directly warehousing products ordered the same day and performing the step 6; if not, skipping to the step 4, directly warehousing products ordered the same day; step 4, stacking machine task distribution based on operation balance, step 5: distributing a sorting mode, and step 6: performing goods allocation and operation scheduling distribution; step 7, generating a stacking machine operation list until an optimal solution is not changed, otherwise, repeating the step 5 -step 7.

The invention discloses a medium-long baseline ambiguity resolution method based on a BeiDou four-frequency signal. The method comprises the following steps of: S1, working out two wide-lane ambiguities by utilizing a four-frequency combination pseudorange and a four-frequency combination carrier; S2, working out the pseudorange of a deionized layer and the delay of a double-difference ionized layer with a frequency point B1 by utilizing the double-difference observed quantities and the corresponding ambiguities of two wide-lane carrier phases; S3, working out two ambiguities related to a fourth frequency according to the pseudorange of the deionized layer and the delay of the double-difference ionized layer with the frequency point B1; and S4, working out the independent ambiguity of a BeiDou four-frequency carrier according to the four ambiguities worked out in the S1-S3. According to the medium-long baseline ambiguity resolution method based on the BeiDou four-frequency signal, under the condition of a medium-long baseline, the independent ambiguity of the four-frequency carrier is rapidly and reliably resolved by adopting the four-frequency combination pseudorange and the four-frequency combination carrier. Compared with a three-frequency method, the ambiguity resolution time is greatly shortened and the ambiguity fixed success rate is effectively increased by the medium-long baseline ambiguity resolution method based on the BeiDou four-frequency signal.

The embodiment of the invention discloses a multi-layer integrated circuit layout polygon alignment and simplification processing method and device. The method comprises the following steps of projecting a plurality of polygons of a multilayer integrated circuit layout to a same layer, and forming a Delaunay triangular mesh according to a Delaunay triangulation algorithm; aligning the Delaunay triangular mesh to each edge of each polygon, calculating the intersection points of the edges of each polygon, and adding the intersection points into the polygon vertexes and the Delaunay triangular mesh nodes to form a first triangular mesh; on the basis, forming the inner and outer auxiliary polygons for clamping the polygons inside and outside each polygon, and controlling the distances betweenthe inner and outer auxiliary polygons and the polygons through the distance thresholds; and aligning and simplifying the edges of each layer of polygons falling between the inner and outer auxiliarypolygons. According to the present invention, the fragmentation problem after the multilayer polygons form the parallel flat plate field domain can be reduced, the unnecessary dense grids are reduced,the analysis and solving time and the required memory of the multilayer integrated circuit are shortened, the gaps among the polygons can be reserved, and the integrated circuit layout shape is basically not changed.

The embodiment of the invention relates to the technical field of logistics management, and discloses a vehicle transportation planning method and a device, an electronic device and a readable storagemedium. The vehicle transportation planning method comprises the following steps: determining all the transportation sections according to the obtained distribution center location, the collection ofdistribution locations and the energy supply station location of the transportation vehicles; A transport planning model is established according to all the transport sections and the number of the obtained transport vehicles and the working mode of the transport vehicles, wherein, the transport planning model includes an objective function of the electric energy cost and the fuel energy cost consumed by the transport vehicles on the traveling transport sections; The transportation planning model is solved based on a preset algorithm, and the lowest energy cost for completing the transportation task is determined. In the invention, by constructing a model for solving, the solution with the lowest transportation energy cost can be provided for vehicles of different scales and distributionlocations.

The present invention discloses a production distribution scheduling method based on ant colony algorithm. The modeling is carried out for a production combined distribution scheduling problem with volume and production time differences, then the solution is carried out through an improved ant colony algorithm, thus a set of optimized scheme of production distribution scheduling is obtained, the total operation cost of a target position manufacturing enterprise is reduced greatly, and the enterprise operational efficiency is improved. At the same time, for a specific problem, a practical application development solution is given, and thus an enterprise can efficiently obtain a suitable optimal scheduling scheme.

The invention discloses a method for accelerating the finite element solution of the elastic deformation of an object mesh model. For a nonlinear elastic object model, given discrete is a coarse meshand a fine mesh formed by units and vertices, the displacement field of the coarse mesh is solved by a finite element method using a piecewise linear matrix function as a displacement interpolation function, and the displacement field of the fine mesh is solved by the finite element method using linear interpolation function as displacement interpolation function. The shape function of the finiteelement method corresponding to the coarse mesh is a specially designed piecewise linear matrix function, and the piecewise linear matrix function is a discontinuous function. The method is used for simulating the deformation of non-uniform and heterogeneous non-linear elastic objects, and the non-linear constitutive relation is also used for predictive simulation of heterogeneous elastic bodies on a coarse mesh to obtain acceleration of two to three orders of magnitude and make good approximation to the overall stiffness of the system.

The invention discloses a laser radar point cloud data resolving method for resolving laser radar point cloud data, which comprises the following steps of: establishing a plurality of threads according to the number of point cloud data files acquired by a laser radar, and distributing at least one point cloud data file to each thread; enabling the plurality of threads to process the point cloud data file in parallel; wherein each thread adopts an assembly line mode to carry out parallel calculation processing on a plurality of data blocks in the point cloud data file, so that the calculation speed of the point cloud data file is greatly improved, the calculation time is saved, and a common processor can independently complete calculation without depending on other hardware. On the basis, the invention further provides a resolving device and a multi-thread processing system for the laser radar point cloud data.

The invention relates to a method for estimating an angular velocity of a spacecraft based on rolling time domain estimation. The method comprises the following steps: constructing a state equation and an observation equation of the angular velocity of the spacecraft based on a spacecraft dynamics model; carrying out simplified processing on four-way twelve-dimensional angular velocity measurementinformation of a redundant optical fiber gyroscope combination to obtain a triaxle angular velocity measurement data of the spacecraft; and based on the constructed state equation and the observationequation, and the obtained spacecraft triaxle angular velocity measurement data, and meanwhile considering an angular velocity constraint and a control moment constraint of the spacecraft, performingonline estimation by utilizing a rolling time domain estimation strategy and a multi-target method to obtain an estimated value of the optimal angular velocity of the spacecraft at the current moment. The method has the advantages of high calculation efficiency, high reliability, good running effect, high precision, and the like, fully considers physical constraints and control moment constraintsof the spacecraft, is an effective optimal online state estimation method, and is suitable for constrained spacecraft angular velocity estimation problems.

The invention discloses a spacecraft intelligent predictive control entry guidance method. Firstly, constraint conditions of spacecraft atmosphere entry are considered, a nonlinear model prediction control method is adopted to design a guidance system, an attenuation memory filter is introduced, a prediction model correction method based on error information estimation is provided, and a variableprediction time domain strategy is combined to enhance robustness of a control system to model errors. Then, the guidance system is used as a guidance template, a sample data set is generated, offlinetraining of a multi-layer neural network is conducted, and the mapping relation between the real-time flight state of the spacecraft and a guidance instruction is approximated. Finally, in the guidance process, the trained neural network is used for replacing the process of solving the complex optimization problem and integral prediction, and the time for online solving the guidance instruction is shortened. Simulation results show that the guidance precision and real-time performance of the guidance method provided by the invention can meet task requirements under the condition that errors such as relatively large model uncertainty exist.

The invention discloses a working mechanism of a single-station feeding production processing system based on a mechanical arm. The working mechanism is characterized in that the single-station feeding production processing system comprises a mechanical arm, a conveyor belt, an industrial camera, a cache library with capacity being M, a finished product warehouse with capacity being N and workpieces, wherein the mechanical arm is used for obtaining vacant amount m of the cache library and a gripper position p under a current state; and a visibility distance Vsmp is selected according to an optimal control strategy v*; and if workpiece are within the visibility distance Vsmp, unloading operation is carried out; and if the workpieces are not within the visibility distance Vsmp, service operation is carried out. The optimal control strategy v* is obtained by carrying out optimization solution on an SMDP model which is established by taking the vacant amount m of the cache library and the gripper position p as states through a strategy iteration algorithm. The working mechanism can be used for improving process balance and production efficiency of a single-station mechanical arm production line which has no fixed beat, has random material supply and has no fixed-point processing, so that basis is provided for optimal scheduling of the single-station mechanical arm production line in industrial production.

The invention discloses a small multi-rotor unmanned aerial vehicle attitude solving method. A quaternion is adopted as a state vector, the state vector is updated by using gyroscope data, and acceleration data and magnetometer data are processed in two stages. In the first stage, the state vector of the quaternion is preliminarily corrected by using an improved unscented Kalman filtering algorithm and the accelerometer data; and in the second stage, the state vector of the quaternion is further corrected by using the improved unscented Kalman filtering algorithm and the magnetometer data. The method which processes the accelerometer data and the magnetometer data in two stages reduces the dimension of the measurement vector, and a small matrix can be used to carry out calculation in order to achieve small computational power and reduce the influences of magnetic anomaly on the estimation precision of the roll angle and the pitch angle.

The invention discloses an environment economic dispatching two-level dispatching solution method including centralized charging stations, and establishes a two-level environment economic dispatching model including the centralized charging station. In the upper model, the minimization of unit total cost is taken as the objective function, the particle swarm optimization algorithm is adopted to optimize the total output power of the centralized charging stations and the thermal power units as a whole at each time, the output power of each unit at each time is optimally dispatched by means of comprehensive sensitivity. In the lower model, the network loss optimization is taken the objective function, the output power of each centralized charging station at each time is optimally distributed by means of network loss sensitivity. The unit total cost and the network total loss are calculated based on the solved output power of each unit and each centralized charging station at each time. The problem that when an economic dispatching problem is solved, the dimension is large and the time is long can be solved; and meanwhile, the method meets the economic requirement and reduces the network loss of a whole electric power system.