443results about How to "Reduce computational workload" patented technology

The invention discloses a method and a system for avoiding the vehicle and pedestrian collision in road-vehicle coordination environment. The method comprises the following steps including (1) information collection: information used for identifying collision risk is collected; (2) driving state discrimination: the current driving state of a vehicle is discriminated; (3) collision risk identification: whether the collision risk exists or not is identified according to the collected collision risk information and the current driving state of the vehicle; (4) driving state discrimination: if the collision risk exists, whether the current driving state of a driver is normal or not is discriminated; (5) collision avoiding: a targeted avoiding method is adopted according to the driving state of the driver for implementing the collision avoidance. The method provided by the invention has the advantage that the in-time adaptation to the actual driving condition can be realized for realizing effective avoidance on different dangerous conditions.

The invention discloses an LTE (Long Term Evolution) channel measurement and feedback method suitable for the CoMP (Coordinated Multi-Point) working mode. A base station configures CSI-RS resources for signal transmission points in the CoMP; a terminal performs channel measurement on the signal transmission points according to the CSI-RS resources, and feed the signal transmission points of which the signal-to-noise ratio satisfies the preset condition back to the base station; the base station selects the signal transmission points according to the feedback information of the terminal and the given working information of the base station side, and sets one or more measurement assumptions and corresponding CSI-RS resources; the terminal performs further channel measurement and feeds back the measurement information according to the measurement assumptions and the corresponding CSI-RS resources; and if the measurement information fed back by the terminal can not determine the resource dispatching mode, the terminal repeatedly performs measurement and feedback till the base station can determine the resource dispatching mode for resource dispatching. The method provided by the invention solves the problem in the prior art that the terminal has large calculated amount due to coexistence of various measurement assumptions.

The invention discloses a multi-period optimal corner small straight-line segment interpolation method based on S curve acceleration/deceleration control in a numerical control system. The method comprises the following steps of: based on the limitations of the machining precision of a machine tool and the maximum machining speed of each driving shaft, setting the acceleration speed at the joint of the corner and the straight-line segment to be zero according to geometrical parameters of each corner on a machining path, the maximum machining acceleration speed of each driving shaft and an optimization target, and determining and adjusting the optimized corner interpolation parameters in multi-period transition at each corner, so that the acceleration speed at two ends of each small straight-line segment meets the reachability requirement of the S curve acceleration/deceleration control mode; and calculating the time at each acceleration/deceleration stage of each straight-line segment according to the S curve acceleration/deceleration mode, respectively performing straight-line segment and corner interpolation on each small straight-line segment, sequentially outputting interpolation point sequences in real time, and driving a numerical control machine tool to execute the machining operation. By the method, the vibration of the machine tool is reduced, the quality of the surface of a workpiece is improved, the calculation speed is high, the real-time machining requirements can be met, and the method is suitable for different models of three-axis, four-axis or five-axis numerical control machine tools.

The invention relates to a stock pile identification method of a bulk-cargo stock ground. A three-dimensional imaging method for realizing the real-time dynamic tracing of a stock pile is disclosed, which drives a laser scanning device arranged at the front end of a cantilever of a material piling and taking machine to carry out a dynastic scanning to the stock pile by utilizing the running, pitching and circumnutation of the material piling and taking machine; a pretreatment, a coordinate transformation, a grid standardization processing and an interpolation are carried out to the obtained laser scanning data so as to generate regular three-dimensional data and to finally generate a complete grid data base of the whole stock ground; a three-dimensional imaging control component reads the coordinate information of the grid of the stock ground; the stock ground is taken as a display area of the image and the ground surface of the stock ground as a display base plane, thus realizing a coordinate restoration in the area and finishing the display of the three-dimensional images of the stock pile; and the content of the data in the data base is updated in a real-time manner: meanwhile, the change of the data content in the data base triggers the three-dimensional imaging control component to read the data from the data base, thus realizing the real-time dynamic updating of the three-dimensional stock-pile image displayed by a terminal.

The invention discloses an algorithm-based text summary automatic extraction method and relates to the technical field of text extraction. The method comprises the steps of S1, preprocessing text; S2, extracting the features of the text; S3, using an existing similarity calculation method to calculate the similarity of sentences, and performing weighting during the calculation; S4, using the sentences in the text as the nodes, the similarity relations of the sentences as the sides and similarity as the weight of the sides to construct an undirected weighted TextRank network graph; performing iterative computation until convergence is achieved to obtain the nodes containing the weight; S5, selecting core sentences according to the weight of the sentences corresponding to the nodes, the structure of the text and the position information of the sentences, sorting the core sentences, and outputting the sorted sentences as the extraction results. The invention also discloses a summary extraction system. By the algorithm-based text summary automatic extraction method and system, the accuracy of text summary automatic extraction can be increased favorably.

The invention relates to a fast noise-containing image two-dimensional maximum between-class variance threshold value method, which comprises the steps of firstly solving a gray average value and a gray standard deviation of a noise image; smoothing each pixel of the image by adopting an average gray value of a 3*3 neighborhood to acquire a smooth image; then calculating the between-class variance of the smooth image by using a maximum between-class variance threshold value method, reducing the search space of a solution of the between-class variance through the gray average value and the standard deviation, traversing the search space, and recording a solution, which enables the between-class variance to be the maximum, to be an optimal one-dimensional threshold value T0; and calculating a trace of a between-class variance dispersion matrix of a target class and a background class by using a two-dimensional maximum between-class variance method, reducing the search space of a solution of the trace through the optimal one-dimensional threshold value T0 and the gray standard deviation of the noise image, traversing the search space of the solution, and recording a gray value binary group, which enables the trace of the dispersion matrix to be the maximum, to be an optimal two-dimensional cutting threshold value. The method provided by the invention can avoid traversal for all gray levels, and also can acquire an accurate solution while greatly reducing the calculation amount.

The invention relates to a volume rendering visualization method based on the sampling. Firstly convert the volume data into 3D texture memory; then design a bounding box containing all the volume data with the rectangular coordinate system origin as the center, set the initial corresponding relation of 8 vertex coordinates and color values to have the bounding box rotating around the center and calculate the new coordinates of the bounding box after rotating by the self-defined rotation matrix; after point coordinates inverse rotation and linear transformation to the intersection points of the cutting plane perpendicular to the line of sight and the edges of the bounding box to get the corresponding color values, color convex polygon sampling plane can be obtained through GPU trilinear interpolation calculation; with the color value of each point of the sampling plane as the coordinate, the 3D texture volume data can be sampled to perform the color composition calculation; change the step value to have the cutting plane advancing along the light of sight until the cutting plane does not intersect with the bounding box and draw the final image. The method calculates large amounts of sampling coordinates point of the polygon sampling plane at one time, thus improving the program parallelism, reducing the workload and improving volume rendering speed remarkably.

The invention discloses an axial symmetry DC magnetic bias simulation model for an extra-high voltage transformer, which belongs to the technical field of safe operation of electrical equipment in an extra-high voltage AC network. Through establishment of an equivalent axial symmetry simulation model of an actual three-dimensional model of the extra-high voltage transformer, a complicated magnetic field model is equivalent to a simple two-dimensional magnetic field model and dynamic inductance parameters are obtained; a load DC magnetic bias circuit model of the extra-high voltage transformer is established; current parameters are obtained through a four-order Runge-Kutta method; a time domain field-circuit coupling method is adopted to realize rapid calculation of the load DC magnetic bias of the extra-high voltage transformer; the simulation proves the high precision and high efficiency of analysis of DC magnetic bias through the extra-high voltage transformer to bring convenience to a large amount of researches on a DC magnetic bias problem of the transformer and help to safe and stable operation of the transformer.

The invention discloses a calculation and model selection method for a wrist motor and a speed reducer of a multi-degree-of-freedom robot and belongs to the field of the robot technology and application. According to the method, on the basis that a mechanical body of the robot is designed, parameters of the motor and the speed reducer are calculated and the model of the motor and the model of the speed reducer are selected according to the design indexes, namely, the maximum moving speed, the wrist permission moment and the wrist permission inertia of the robot under the situation that the series of the motor and the series of the speed reducer are determined; under the situation that the series of the motor and the series of the speed reducer are not required, only the parameters of the motor and the speed reducer are calculated. The calculation and model selection method for the wrist motor and the speed reducer is mainly used for calculation and model selection for the wrist motor and the speed reducer of the multi-degree-of-freedom robot, has the advantages of being wide in model selection range, fast in calculation, high in efficiency, accurate in model selection and the like, and overcomes the defects that in the process of calculating model selection parameters and inquiring a design manual, the calculated amount is large, and efficiency is low.

The invention provides a method for identifying the failure state of the rotor vibration signal of an aircraft engine. The method mainly includes the following steps of: firstly extracting 11 time domains and frequency domains and characteristics of time and frequency domains of the rotor vibration signal; selecting the proper characteristics by clustering; training a classifier by using the clustering result; at last introducing new data into the trained classifier to generate classification result. According to the method, the problem that, when in existing aircraft engine rotor failure state identification, the lots of extracted diagnosis characteristics have many uncorrelated or uncorrelated due to objective and subjective reasons is overcome. The method of classifying rotor vibration signal faults of the aircraft engine by using the combination of the clustering method and the classifier is adopted to provides a frame of the method for identifying the failure state of the rotor vibration signal of the aircraft engine, the key characteristic sensitive to the fault characteristic can be automatically identified, the correlated characteristics insensitive to the fault characteristic can be removed, and the performance of identifying the failure state of the rotor vibration signal of the aircraft engine can be effectively promoted.

The invention relates to testing method used in wide span house cover and super tall building structure wind induced oscillation response. The feature is that it directly adopts the mold analyzing method to use the response of physical coordination and mode coordination under the random air driving bearing final function. The calculating result has the same accuracy as the method of CQC. But the calculating speed is much faster than CQC method, and the request for memory is also lowered. It is especially suited for realizing on middle class PC.

The invention belongs to the IC technique field, particularly to a yield-driven clock skewing arrangement method, which comprises the steps of: setting up a statistic timing sequence restriction diagram according to the statistic result of static time series analysis, searching the key ring on the restriction diagram, redistributing the safety allowance, compacting the key ring into a over-point, updating the weight mean of the correspondent edge, inserting the relation between the key points and the compacted over-points in to a relation tree, repeating till only one over-point is left or the number of the edge is 0, traversing the tree, computing the true clock arrival time of all the leaf nodes for representing the trigger to obtain the clock skewing between the timing sequence adjacent trigger. The method takes into account of the uncertainty of the signal delay, thereby the yield of the chip will be improved.

The invention discloses a method for acquiring an access time window for shooting and imaging a ground target area by a satellite. The method comprises the steps that pretreatment is conducted on the ground target area, the interval of tracks of time-adjacent subsatellite points is calculated, and a calculating period is divided; the access time window for shooting and imaging the ground target area by the satellite in a first time period is calculated; the access time windows for shooting and imaging the ground target area by the satellite in all time periods are primarily calculated; the primarily calculated access time windows for shooting and imaging the ground target area by the satellite in all the time periods are optimized to precisely obtain the access time window for shooting and imaging the ground target area by the satellite in all the time periods. The method is used, the access time window for shooting and imaging the ground target area by a remote sensing satellite can be quickly acquired, the efficiency for acquiring the access time window for imaging the ground target area by the remote sensing satellite can be improved, and the quick response capacity to emergencies of a remote sensing satellite imaging technology is improved.

The invention belongs to the field of reservoir scheduling for beneficial use and sediment accumulation calculation, and particularly relates to a nested dimension reduction algorithm-based cascade reservoir water-sediment joint optimization scheduling method. For the characteristics of multiple stages, multiple targets, long sediment calculation time and the like of cascade reservoir water-sediment joint optimization scheduling, a nested dimension reduction algorithm-based cascade reservoir water-sediment joint optimization scheduling method is proposed for achieving the purposes of reducing calculation dimensions, reducing optimization calculation workload and shortening calculation time; by building a cascade reservoir water-sediment multi-target optimization scheduling model, a non-inferior relationship between power generation and sediment accumulation of a cascade reservoir can be better simulated; and through a successive approximation multi-target dynamic planning iterative algorithm of a nested structure, a one-dimensional sediment calculation model is prevented from being called for multiple times in an optimization process, so that the calculation workload is reduced, the calculation time is saved, and effective analysis and calculation methods are provided for cascade reservoir water-sediment joint optimization scheduling.

The invention discloses a method for measuring steel structure welding deformation based on gridding, which is characterized in that the procedures of the measuring method comprise: designing gridding, manufacturing a silk screen mould, printing the gridding, fixing a shooting point, sampling and shooting, reconstructing gridding information, creating a deformation coordinate system, comparing corresponding images and calculating deformation. By means of the operation steps, the method disclosed by the invention can measure the deformation dimension and the size of deformation generated during the welding process, and the method has the advantages of being convenient in operation, large in measuring information quantity, accurate and reliable in result, high in efficiency and having no limit on steel structure dimension, non-contact measurement availability.

The invention relates to the technical field of power systems and automation thereof, and particularly relates to a virtual power plant double-layer optimization model considering network constraints.The method comprises the specific steps of establishing an upper-layer virtual power plant profit maximization model, establishing a lower-layer market clearing model considering network constraints,converting the double-layer optimization model into a mathematical programming model with balance constraints, and converting the mathematical programming model with the balance constraints into a mixed integer programming model. In order to overcome the defect that line transmission power constraint is not considered in current related research, internal optimization of the virtual power plant and interaction with a market operator and other conventional units are fully considered, a market bidding optimization model in which the virtual power plant participates is established, an optimization bidding strategy is generated under the condition that line power transmission is blocked, the superiority of the bidding strategy is embodied, the profit of the virtual power plant is improved, and the model is close to the practical situation. Scientific theoretical support is provided for the virtual power plant to effectively participate in the power market in future.

The invention relates to a four-rotor aircraft parameter measuring and modeling method. The method includes: for paddle rotors and a body portion of a four-rotor aircraft, adopting a method combining experimental measuring and mathematical calculating to build a dynamic model; setting up a special experimental platform, and measuring rotor lift coefficient and rotor torque cofficient in the dynamic model; performing equivalent substitution on an aircraft body, abstracting complex aircraft body structure into several main portions, and directly performing rotational inertia calculation according to a physical definition. By using the method, the problem that wind tunnel experiment is expensive or high cost in purchasing a professional mechanical measuring instrument is solved; in the aspect of detail dealing, a tripod experiment platform structure is adopted, so that influence on electronic scale measuring caused by ground effect and airflow generated by the rotors is avoided; reflective strips are pasted on the back of each rotor, so that measuring accuracy of an infrared rotational speed meter is improved. Through model simplifying, calculation workload is reduced greatly.

The invention discloses a tire manufacturing enterprise production plan scheduling method. The method comprises the following steps: step 1, setting basic data; 2, preparing a monthly production plan;3, making a temporary table of a monthly production plan of each production plant; 4, scheduling the tire for the production plan; 5, scheduling the tire vulcanization production plan; 6, preparing amonthly production plan scheduling plan; 7, preparing a tire production operation day plan. The production plan scheduling method of the tire manufacturing enterprise constructed by the invention cansolve the defect that the manual preparation plan can not synthetically balance the process parameters and various constraint conditions, and realize the integrated information management of the automatic scheduling of the tire molding and vulcanization production plan.

The invention discloses a high-precision seismic data reconstruction method based on two-dimensional non-uniform curvelet transform. The high-precision seismic data reconstruction method is characterized in that non-uniform Fourier transform is adopted on the basis of multi-scale multidirectional two-dimensional curvelet forward transform, forward and inverse transform operators between a curvelet coefficient and seismic missing data under spatial non-uniform sampling are established, a spectral projected gradient method is adopted for inversion calculation to obtain a uniform curvelet coefficient under the minimal L1 norm constraint, and the uniform curvelet coefficient undergoes standard two-dimensional curvelet inverse transform processing, thereby finally implementing the high-precision seismic data reconstruction method based on two-dimensional non-uniform curvelet transform. The high-precision seismic data reconstruction method overcomes the defect that the traditional two-dimensional curvelet transform method cannot reconstruct a seismic missing trace under non-uniform sampling, does not loss energy in the reconstruction process, has an anti-aliasing function, significantly improves fidelity and a signal-to-noise ratio of reconstructed signals, protects weak effective wave signals, thus makes co-phase axes of reflected waves more continuous, and is of reference significance in other fields.

The invention relates to a turbine blade profile line design method. The method includes the following steps that an appropriate elliptic arc or a circular arc is selected according to a new secondary curve expression; after the appropriate geometric curve is selected, some relational expressions of determined control parameters are built by the adoption of a good blade profile which has passed the intensity and aerodynamic performance test, so that the relational expressions include the factors of the strength and aerodynamic performance naturally, the newly-formed blade profile cannot deviate from the good aerodynamic performance and intensity performance; in the aerodynamic performance and intensity calculation process, some reliable empirical formulas are referenced. The turbine blade profile line design method has the advantages that the appropriate elliptic arc, the parabolic arc and the double-curve arc can be selected for the new secondary curve expression to express the required curve segment, and the expression is further provided with the elastic spline feature, the secondary curve affine transformation feature is reflected, any stretching, compression and bending can be conducted, and thus the curve is modified conveniently to adapt to the requirements of aerodynamic performance and intensity calculation.

The invention discloses a rapid decomposition method trend calculating method based on a Matlab. The method comprises the following steps that matrix operation and complex number operation are used; an array bt1 is set and a node number of a non-equilibrium node is recorded, and an array bt2 is set and a node number of a PQ node is recorded; when equation set coefficient matrixes B' and B'' are formed, a node type is not considered, and then according to the arrays bt1 and bt2, a matrix element is extracted, and redundant rows and columns are removed; and before iteration, according to the arrays bt1 and bt2, node-injected active and reactive independent elements are removed. In the invention, program codes are reduced, programming is simplified, and a program is clear so that scientific research personnel can conveniently modify the program, debug and improve the program, and add a new function. In the invention, during LU decomposition, an independent element of a coefficient matrix is removed, and before iteration, node-injected active and reactive independent elements are removed; and during an iteration process, work of mentioning a correlation matrix or a vector element repeatedly can be avoided, calculating workloads are reduced and a calculating speed is increased.

The present invention discloses a Kalman filter channel-based pulse stacking correction method which mainly solves the problems in the prior art that the calculation is complex, an energy spectrum distorts, etc. The method comprises the following steps of utilizing a pulse shaper to generate a nuclear pulse signal Sn, obtaining the nuclear pulse signal Sn and then initializing the parameters of the nuclear pulse signal Sn, namely, selecting an initial point where the amplitude X0 of the outputted nuclear pulse signal Sn is 0; carrying out the weak signal removing processing on the nuclear pulse signal Sn, and obtaining the stacked nuclear pulse signals S1n; determining and extracting the stacked nuclear pulse signals S1n; constructing a Kalman filter state and measurement equation, and using a Kalman filter to process the extracted nuclear pulse signals S1n to obtain the nuclear pulse signals S2n; attenuating the nuclear pulse signals S2n, and determining whether to satisfy a removingstandard. By the above scheme, the Kalman filter channel-based pulse stacking correction method of the present invention achieves the purpose of separating the stacked pulse events, and has the very high practical value and popularization value in the nuclear radiation detection, the nuclear electronics technology and the digital signal processing fields.