59results about How to "Solve certain problems" patented technology

The invention discloses a primary frequency modulation stability domain determination method of a water turbine speed regulator under the power mode. The method comprises steps that, 1), a non-linear water turbine speed regulator model for primary frequency modulation under the power mode is established, the non-linear water turbine speed regulator model comprises a PID control link and a non-linear link, and a water turbine adjusting system model is established according to the non-linear water turbine speed regulator model; and 2), PID parameters of the PID control link are taken as bifurcation parameters, bifurcation conditions satisfied by the PID parameters during generation of hopf bifurcation are solved according to the water turbine adjusting system model; boundary of a primary frequency modulation stability domain of the water turbine speed regulator under the power mode is acquired through the bifurcation conditions, and a scope of the stability domain is determined according to the boundary of the stability domain. Through the method, the primary frequency modulation stability domain of the water turbine speed regulator under the power mode can be effectively determined; the method further has advantages of simple method and high precision.

The invention relates to a cluster center selecting method and system. The cluster center selecting method comprises the steps of: receiving original grey scale images; obtaining initial disparity maps corresponding with the grey scale images; calculating pixel motion information; employing two eigenvectors formed by respective maximum values and minimum value of the motion information, gray values and coordinates as two preliminary clustering centers to preliminary cluster the images; calculating mean values of the eigenvectors to update corresponding cluster centers; according to the cluster centers updated through mean values, traversing all pixels to determine new cluster centers by utilizing a maximum minimum algorithm; performing cluster processing by employing the disparity of the initial disparity maps as a guide; and determining whether cluster results appear convergence.

The invention belongs to the field of manufacturing a high-speed railway track plate grinding wheel, in particular to an optimization method for topography of a soldering diamond-impregnated grinding wheel of a high-speed railway track plate. The optimization method comprises the steps: according to the mechanism of removing materials by the diamond of the revolving grinding wheel, carrying out mathematical analysis on the grinding process of single-layer diamond-soldered grinding wheel by combining grinding parameters so as to determine the optimal abrasive topography on the surface of the grinding wheel; adopting segmental distribution to the abrasive on the surface of the grinding wheel, wherein the optimal number of segments is larger than or equal to 65, the width of a chip groove of each segment is larger than 7.2mm, and the optimal area of the included angle between the each segment material distribution area and the vertical plane ranges from 55 degrees to 65 degrees. The optimization method determines the optimal topography of the soldering diamond-impregnated grinding wheel of the high-speed railway track plate, thereby playing optimal grinding performance of the soldering diamond-impregnated grinding wheel.

The invention discloses a power point commodity recommendation method and system based on logistic regression, and the method comprises the steps: obtaining the most relevant feature data of a positive sample user who has points and exchange commodities with points for each type of users, and obtaining the most relevant feature data of a negative sample user who has points and does not exchange commodities with points; establishing a potential customer prediction model by adopting a logistic regression algorithm and taking the most relevant characteristic data of the positive sample user, themost relevant characteristic data of the negative sample user and a score exchange label as training set data; based on the potential customer prediction model, predicting the probability of credit exchange of the user according to the historical credit exchange record of the to-be-predicted user; and regarding the users whose probabilities are greater than a set threshold value as potential pointexchange users, and recommending commodities for the potential point exchange users by adopting a collaborative filtering algorithm.

A method for structuring transfer function of opacity includes carrying out CT scanning on test-piece to obtain 2-D CT image series, obtaining volume data from said image series, setting up histogram of volume data and sectioning said histogram, obtaining a threshold from each section and using said threshold as sectioning point of opacity transfer function to conform transfer function of opacity.

The invention discloses a method for determining W parameter of surface runoff pollutant in SWMM software. The method consists of two parts. One is to simulate the erosion of surface sediment with pure water by artificial rainfall under laboratory conditions to form pollutant concentration of surface runoff W0. The other is to consider the natural rainfall water concentration W1 affected by air pollution. By combining the two parts, the determination method of pollutant parameter W of surface runoff under natural rainfall condition is realized. The method solves the problem of determining water quality parameters in SWMM software through the actual runoff data, and combines air pollutants and surface sediment pollutants into urban surface runoff pollution sources to establish a new model of water quality erosion model. Through the method, new SWMM water quality model parameters can be set up in different regions to prevent the errors to the model caused by regional problems.

The invention discloses a confirmation method of the working curved surface of a window lifter guide rail of a vehicle door. The method is characterized by comprising the following steps of: confirming the motion curved surface of the vehicle window glass on the basis of the shapes of a whole vehicle door, a guide groove and the vehicle window glass; establishing a motion analysis mechanism of the vehicle window glass through the motion analysis and simulation of a DMU (Dynamic Measuring Unit) module of CATIA (Computer-Aided Three-Dimensional Interactive Application) software to simulate the motion of the vehicle window glass; and scanning the working curved surface of the window lifter guide rail under the conditions of ensuring the minimum friction between a slider and the guide rail and the minimum deformation of the slider. The motion curved surface of the vehicle window glass is confirmed by the following steps of: moving the vehicle window glass from the upper end of the guide groove to the lower end of the guide groove; evenly sampling points on the guide groove; recording the position of the glass curved surface of the position; and then, fitting the motion surface of the vehicle window glass with the curved surfaces. By adopting the CATIA software, the invention accurately solves the confirmation problem of the window lifter guide rail of the vehicle door with high efficiency.

The invention discloses a bridge jacking automatic monitoring method based on a lofting robot. The method includes the following steps of selecting a monitoring point of a bridge, fixing a reflectionpatch to the point, guiding a BIM into the lofting robot, selecting a plurality of lofting process points according to the monitoring point, arranging a station for the lofting robot on a constructioncoordinate system, aiming at the reflection patch for lofting, in the jacking process, observing the transverse off-position displayed by a handbook of the lofting robot, and giving an alarm when theoff-position exceeds the limit. The bridge jacking trajectory is automatically tracked through the BIM and the lofting robot, and the jacking off-position conditions are monitored; through the errorconversion of the transverse off-position and the handbook of the lofting robot, the boundary value determining problem is solved; by dividing the jacking distance and marking a plurality of process points, the aim of monitoring the jacking off-position in real time is realized; the lofting robot is used for bridge jacking monitoring, the fusion of the measuring technology and the BIM technology is realized, the working procedure is simplified, and labor cost is reduced.

The invention discloses a determining method for exhaust mass flow of a spacecraft under the low pressure in a cabin. Under the condition of the low pressure in the cabin, the length of an exhaust channel and viscous loss of gas flowing in the channel cannot be neglected. The flowing of one-dimensional isentropic flows and pipeline flowing considering the friction are coupled, and a coupling computation cabin for the exhaust mass flow of the spacecraft under the low pressure in the cabin is established. The iterative solving is performed on the coupling model to obtain the exhaust mass flow by adopting a method of traversing channel inlet Mach number, so the problem that the exhaust mass flow is difficult to obtain under the low pressure in the cabin is solved.

The invention discloses a method for energy-saving optimization of operation of a fan of a direct air-cooling system of a power plant. Data collection is realized by the aid of multiple steam turbine steam discharging pressure sensors and a direct air-cooling system fan total power sensor which are arranged on a power plant unit, and data are transmitted to a data collection unit and a calculation and display unit bidirectionally connected with the data collection unit. An optimal operation scheme is determined by a formula shown in the description. By the method, the problem of determining of the optimal operation scheme of the fan of the direct air-cooling unit air-cooling system is solved, the method is simple and convenient in measuring, and a guide can be provided for determining the optimal operation scheme of the direct air-cooling system on an operation site.

The invention discloses an ion beam polar axis processing method capable of correcting and removing local error of an optical element, which comprises the following steps: firstly acquiring a removal function through experiment, then carrying out rotary symmetric treatment on the removal function, next using a wave surface interferometer to acquire a surface shape error function of the element, establishing a shaped model and calculating density distribution of residence time, solving the residence time in an Archimedes path, then adjusting screw pitch according to circumstances, and generating a numerical control code according to sector Archimedes spiral discrete information and synthesized motion speed of each discrete sector area to carry out first numerical control shape-correcting processing, and finally repeating the processing steps more than once according to the circumstances till meeting the accuracy requirement of a work piece. The processing method reduces requirement of the mirror surface size on processing system size, saves processing cost, overcomes the defect that the prior polar axis processing mode can not carry out error correction on non-rotary symmetry error of the mirror surface, and ensures processing efficiency.

The invention relates to a method for determining a tool face angle in three-dimensional borehole trajectory control, and belongs to the technical field of petroleum and gas drilling. According to themethod for determining the tool face angle in the three-dimensional borehole trajectory control, a well bottom hole deviation angle and a well deviation azimuth angle are measured, and the well bottom actual drilling vertical depth is calculated; the length of a to-be-lowered drill stem is measured; the vertical depth and the well deviation azimuth angle of a to-be-drilled point are determined; in a three-dimensional directional well section, under stable bit pressure and displacement, a reverse torsion angle value is measured; the difference between the to-be-drilled point vertical depth andthe bottom hole actual drilling vertical depth is calculated, and finally an actual tool face angle is obtained through a formula I. The problem of determining the tool face angle in three-dimensional well orientation is solved, the numerical value is accurate, high operability is achieved, support is provided for an on-site orientation engineer and a driller, the drilling efficiency is improved,the daily cost of drilling is reduced, and conditions are created for smooth construction.

The invention relates to a method for determining a medium-and-large-radius track of a two-dimensional small-pre-target-displacement horizontal well. The method sequentially comprises the following steps that the position of a first target spot, the position of a second target spot and the position of a wellhead are determined, the displacement and the true vertical depth of the first target spot and the displacement and the true vertical depth of the second target spot are obtained, a third-part horizontal segment rail is determined, and the third horizontal segment track extends along a connecting line between the first target spot and the second target spot; a second-part angle-gain landing track is determined upwards with the first target spot as a terminal point, and the second-part angle-gain landing track comprises a first angle-gain circular-arc segment, an angle-holding linear segment and a second angle-gain circular-arc segment; a reverse angle-building track is determined with the wellhead as a starting point and the track midpoint as a terminal point, the reverse angle-building track comprises a plumb shaft segment, a reverse angle-building circular-arc segment, an angle-holding linear segment and an angle-dropping circular-arc segment, and the radius values of all the circular-arc segments range from 191 m to 286.5 m. According to the method for determining the medium-and-large-radius track of the two-dimensional small-pre-target-displacement horizontal well, the pre-target displacement is increased through reverse angle building, and the contradiction between the complex ground conditions and well location optimization of the horizontal well with the medium-and-large-radius track can be solved.

The invention discloses a harbor transportation volume prediction method and a system. The prediction method comprises steps of after carrying out preprocessing like correlation analysis and dimensionality deduction on related factors of the harbor month transportation volume, accumulating the harbor month transportation volume and influence factor data sequences with the gray prediction method; carrying out parameter optimization on a support vector machine by use of the indetermination knowledge particle swarm optimization algorithm so as to obtain an SVM model; carrying out prediction so as to obtain prediction results based on the model; and at last obtaining the prediction results after correction of the harbor month transportation volume via continuous subtraction reduction. According to the invention, by combining the gray prediction method, the particle swarm optimization algorithm and the SVM model, the transportation volume is predicted, advantages of all models or methods are given into full play and enhanced while disadvantages are avoided, thereby achieving precise prediction for transportation volume of all kinds of goods of the harbor in a simple, efficiency and low cost manner, and filling the gap in application of the harbor transportation volume field.

The invention discloses a method for analyzing the number of super high-rise construction elevators. The method of presetting and re-inspection is adopted. The total number of the required construction elevators is calculated according to a roughening algorithm formula first; then after a specific plan of the plane and a specific plan of the facade are completed, the matching degree between the transportation capabilities of the construction elevators and the actual transportation demands for a project is reexamined and verified through an actuarial method according to the number of people and the quantity of materials. According to the technical scheme, the problem of determining the number of the super high-rise building construction elevators can be well solved, and the accuracy of calculating the number of the construction elevators is improved, so that the phenomenon of construction delay caused by the insufficient transportation capabilities of the construction elevators or resource waste caused by the surplus transportation capabilities of the construction elevators is avoided. The method can be applied to a lot of similar construction projects and is worthy of popularizing.

The invention discloses a method for determining a pressure center of a stamping die of random appearance, which comprises the following steps: setting a peripheral closed curve of the stamping die in a plane rectangular coordinate system, dividing the whole closed curve into a group of basic curve sections, solving a pressure center coordinate point of each curve section by using a formula, and solving a pressure center coordinate point of the stamping die according to the pressure center points of all the curve sections by using the formula. The method of the invention can conveniently and accurately determine the pressure center of any curved part stamping die.

The invention discloses a method for determining different underlying surface overland runoff pollutant parameters W contained in SWMM, and belongs to the crossing fields, such as the municipal engineering and the environmental engineering. The overland runoff pollutant W is formed by the overland sediment and the natural rainfall pollutant polluted by the atmosphere. The method comprises the following steps: obtaining the different types of the underlying surface overland runoff water samples by using a sampling device, obtaining the different types of the underlying surface overland runoff water samples in the different time periods at intervals and detecting the concentration of certain pollutant, and obtaining the concentration value Wt of the runoff pollutant of the underlying surface K in the different time periods; according to the rainfall, executing the weighted average to the pollutant concentration of each time period, obtaining the average pollutant concentration value Wk of the average underlying surface K in the whole rainfall, wherein the research area contains different underlying surface types; and according to the area, executing the weighted average to the pollutant, obtaining the average concentration W of the pollutant in the whole research area, and obtaining the dimension of the parameter W value in a research area SWMM water quality model.

The invention discloses an airplane icing on-line detection method based on statistical test and filtering. The airplane icing on-line detection method at least comprises the following steps that S1,flight state measurement data, engine thrust data and rudder deviation input data in the flight process are collected; S2, an icing starting moment is detected by utilizing a generalized likelihood ratio test method; S3, a disturbance signal is generated to be superposed on the rudder deviation input data, and joint state estimation and aerodynamic derivative identification influenced by icing areconducted on the flight state measurement data by utilizing an H-infinity filtering method; S4, an icing end moment is detected by utilizing the generalized likelihood ratio test method; and S5, generating and superposing of the rudder deflection disturbance signal are stopped, and joint state estimation and aerodynamic derivative identification influenced by icing continue to be conducted on themeasurement data by utilizing H-infinity filtering until the flight is finished. By combining quick icing detection and a parameter estimation method, an airplane icing detection algorithm with stronger functions is obtained.

The invention belongs to the technical field of electronic forensics, and particularly relates to a memory fragment file reconstruction method and system based on structure chain reversion. The methodcomprises the following steps: scanning and analyzing a memory medium image, establishing mapping from a fragment set to a file fragment subset, and obtaining fragment elements in the file fragment subset; and based on reverse analysis of an operating system structure, constructing a connection relationship and a logic position of fragment elements in the file fragment subset, and reconstructingthe memory fragment file. According to the method, the memory fragment file engraving reconstruction based on a reverse structure chain is utilized to meet the electronic (digital) crime evidence obtaining practical application, the method can be suitable for recovering and analyzing a data file of the network intrusion behavior in a running physical memory based on the operating systems of different versions of Windows, and the practicability is high.

The invention provides a method and equipment for confirming preferred resource description information of a resource. The method comprises the steps that process equipment acquires referential resource description information matched with normative resource name information according to the acquired normative resource name information after preprocessing the resource name information of initial resource description information, and confirms the preferred resource description information of the resource corresponding to the initial resource description information by using one or more referential resource description information according to the initial resource description information. Compared with the prior art, the method and the equipment realize resource name normalization of the initial resource description information, can automatically generate the complete and comprehensive resource description information, improve the information processing efficiency and information integrality, further improve the user experience, and improve the efficiency of a user to acquire the information.

The invention discloses user equipment, node equipment and a method for determining an uplink timing relationship, and relates to the wireless communication technology. The method disclosed in the invention comprises: when a Frequency Division Duplex (FDD) service cell and a Time Division Duplex (TDD) service cell aggregate and support cross-carrier scheduling, the equipment determines an uplink Hybrid Automatic Resending Request (HARQ) timing relationship of the scheduled service cell in accordance with a type of the scheduled service cell. The invention further discloses the user equipment and the node equipment. Through the method for determining uplink timing relationship provided in the technical solution of the invention, a problem of determining uplink timing relationship when the FDD service cell and the TDD service cell aggregate is solved.

The invention relates to a method for determining an SWMM water quality scouring model parameter and belongs to the crossing fields of municipal engineering and environmental engineering crossing and the like. First surface runoff water samples are obtained through a surface runoff sampling device, surface runoff water samples at different moments are obtained at the same interval time, pollutant concentration Wt is detected, and the rainfall intensity value qt at the moment t is recorded; a pollutant deposition load value is obtained by combination with detection of earth surface deposition collected in dry days, a unit area pollutant deposition amount initial value undergoes scouring subduction at the moment t to obtain a remaining pollutant cumulant Bt, and Bt, Wt and qt values at different moments in a rain are substituted into an index scouring function formula; each scattered point is drawn through the excel, a tendency chart and a tendency function are added, and values of S1 and S2 are obtained from the tendency function formula. By comparison of engineering practice monitoring results and model simulation results, water quality parameter obtaining correctness is found, and it is indicated that the method has scientificity and practical values.

The invention discloses a similar course determination method and device, equipment and a storage medium. The method comprises the following steps of obtaining feature vectors of at least two courses;determining course similarity of every two courses according to the feature vectors, and generating a course similarity matrix based on the course similarity; and determining similar courses based onthe course similarity matrix. The embodiment of the invention provides a similar curriculum determination method, which determines similar curriculums by calculating curriculum similarity by using curriculum feature vectors, can improve the determination efficiency of the similar curriculums, and reduces the problem of recognition difficulty when a user selects the similar curriculums.

The invention discloses a crack closing stress determination method based on axial stress response. The method comprises the following steps: establishing a curve graph corresponding to an axial strain-axial stress relation of a rock sample based on a test data point set; selecting an initial point P (epsilon p, sigma p) in a linear elasticity stage of a curve graph corresponding to the axial strain-axial stress relationship of the rock sample; acquiring the slope of a connecting line of two points between each test data point (epsilon i, sigma i) and the initial point P (epsilon p, sigma p); obtaining an elastic modulus E; obtaining a reference straight line sigma = E epsilon corresponding to axial strain-axial stress; establishing a curve graph corresponding to axial strain-axial stress difference; and obtaining an inflection point in the curve graph corresponding to the axial strain-axial stress difference, wherein the axial stress corresponding to the inflection point is the crack closing stress sigma cc. According to the method, the problem in determining the compaction point is effectively solved, the accuracy of obtaining the crack closing stress sigma cc is remarkably improved, and the influence of man-made subjective assume on the crack closing stress in an existing method is eliminated.

The invention discloses an automatic monitoring method for bridge pushing based on a stakeout robot, which comprises the following steps: selecting a monitoring point of the bridge, and fixing a reflective patch at the point; importing a BIM model into the stakeout robot, and selecting several monitoring points according to the monitoring points The stakeout process point; the stakeout robot sets up a station on the construction coordinate system and aims at the reflective patch for stakeout; during the jacking process, observe the lateral deviation displayed by the stakeout robot's handbook, and issue an early warning when the deviation exceeds the limit. The invention automatically tracks the jacking trajectory of the bridge through the BIM model and the lofting robot, and monitors the jacking deviation; the problem of determining the limit value is solved through the error conversion between the lateral deviation and the handbook of the lofting robot; Several process points have realized the purpose of real-time monitoring of the jacking deviation; the use of the lofting robot in the monitoring of bridge jacking has realized the integration of measurement technology and BIM technology, simplified work procedures and reduced labor costs.

The invention discloses a ping-pong storage method and device for a sparse neural network, which solve the problem of great consumption of on-chip storage resources due to one-time loading of a largeamount of weight data during calculation of the sparse neural network. The ping-pong storage device comprises a sparse processing unit, a weight storage unit M0, a weight storage unit M1, a calculation unit and a control unit. The invention discloses a ping-pong storage method for a sparse neural network. Configuration bits are added into weight data subjected to sparse processing, M0 and M1 circularly store the weight data added with the configuration bits in a ping-pong storage mode, and the calculation unit calculates a switching point of each group of data. When the next group of data is uploaded completely, data switching is carried out when convolution calculation is carried out to a switching point each time, and the control unit is responsible for controlling each unit to completethe above work. According to the method, the problem of determining the switching point during ping-pong storage of the sparse neural network is solved, and ping-pong storage of the sparse neural network is further realized.