871results about How to "Universally applicable" patented technology

The invention discloses a resource scheduling method under a Hadoop-based multi-job environment, which includes: (1) collecting the three-party monitoring information of cluster loads, a Hadoop platform and hardware in real time; (2) collecting the job execution monitoring information of a user on each computing node of a cluster in real time; (3) gathering the three-party monitoring data of the cluster, modeling to evaluate the computing capabilities of the nodes, and dividing the nodes of the cluster into superior computing nodes and inferior computing nodes; (4) if the nodes are the superior computing nodes, then starting a job task resource demand allocation policy based on similarity evaluation; (5) if the nodes are the inferior computing nodes, then returning to a default resource demand allocation policy of the Yarn. The resource scheduling method under the Hadoop-based multi-job environment solves the problem of resource fragments caused by oversize job resource demand division granularity in conventional resource schedulers of the Yarn, can comprehensively take the heterogeneity of cluster nodes and jobs into consideration, and increases the execution concurrency of the cluster by reasonably and effectively allocating the node resources, thus increasing the execution efficiency of the multiple jobs of the Hadoop cluster.

A process for the preparation of a catalyst system includes the steps of combining a support material with a first composition which includes at least one aluminoxane in a first solvent to provide an aluminoxane loaded support; and, contacting the aluminoxane loaded support with a second composition which includes at least one metallocene compound, a second solvent, and a cocatalyst, wherein the cocatalyst includes a second portion of the at least one aluminoxane alone or in combination with an ionic compound and / or a Lewis acid.

The invention discloses a method for preparing a polymeric nano-micro fiber non-woven fabric. The method comprises the following steps of: firstly, dissolving at least one polymer in at least one solvent to prepare spinning solution; then supplying the spinning solution to a spinneret plate with a series of spinneret orifices so as to make the spinning solution extruded from the spinneret orifices of the spinneret plate to form a trickle of the spinning solution; secondly, stretching and refining the trickle of the spinning solution by utilizing at least one high-speed jet airflow, and accelerating the volatilization of the solvent to form nano-micro fiber; and finally, collecting the nano-micro fiber on a web curtain by utilizing high-speed airflow and suction airflow. The polymer is a fiber-forming polymer; the solvent can dissolve the fiber-forming polymer and has the volatility; a jet angle of the high-speed airflow is between 15 and 60 degrees, and the jet velocity is at least 50 times higher than extrusion speed of the trickle of the spinning solution; the mass concentration of the polymer in the spinning solution is between 2 and 50 percent; and the viscosity of the spinning solution at a spinning temperature is between 10 and 100, 000mP.s.

The invention relates to a chromatic confocal technique method and arrangement for the rapid three-dimensional measurement, in particular, of object shape, more particularly of a tooth in the jaw of a human being with an array of polychromatic point light sources, a planar detector matrix, arranged before means for lateral spectral separation and an objective for object illuminating and recording. According to the invention, spectral defined reference light bundles are generated also using components of the arrays of point light sources for chromatic calibration, wherein said reference light bundles are injected into the detection beam path via a reference bean path for chromatic lateral separation and then focused on the detector matrix as reference image points. Spectral reference points are calculated at the detector matrix positions and sub-matrices for spectral analysis of object light are digitally stored with pixel accuracy by means of the above positions which then serve for obtaining measurement points such that the detector matrix may be completely filled out with oblong sub-matrices, the planar array is arranged on the planar detector matrix rotated about an acute angle to the spectral axis, wherein the rotation is carried out about the optical axis (OA) of the arrangement, such that a connecting line of point light sources on projection thereof in the plane of the detector matrix includes an acute angle there with the spectral axis, the λ-axis.

The invention relates to a multi-well complex lithology intelligent identification method and system based on logging data. The method comprises the following steps: firstly, determining a target logging data file and carrying out format conversion and normalization preprocessing; performing feature screening and / or feature combination expansion on the logging curve data according to the known lithology of the key coring well in the whole region in the coring well section to obtain the logging curve data sensitive to the lithology; performing labeling calibration on the logging curve data sensitive to the lithology response to form a sample database, and forming a to-be-tested database by using the logging curve data which are not labeled in the whole region; utilizing data of the sample databaseto carry out machine learning training by combining a plurality of machine learning algorithms, and then automatically establishing a plurality of lithology recognition models. An optimal modelis selected through a classification performance evaluation rule, the optimal model is used for carrying out lithology prediction on the data in the database to be tested so as to realize intelligentidentification of multi-well complex lithology in the whole region, and the method is efficient, convenient, applicable in the whole region and very accurate in automatic intelligent prediction result.

The invention provides a super short-period wind power prediction method. The method mainly comprises the following steps: S10, obtaining a wind power prediction result based on numerical weather prediction (NWP) and a wind power prediction result based on wind power farm historic / real time data, and correcting the error of the wind power prediction result based on the NWP in real time; S20, adopting an empirical distribution model, respectively building a prediction error absolute value probability distribution based on an NWP power prediction method at the time and a prediction error absolute value probability distribution based on a wind power farm historic / real time data prediction method; step 30, calculating the wind power prediction result based on the NWP at the time in a prediction time period and a weighting coefficient of the prediction result based on the wind power farm historic / real time data, and obtaining the prediction result of the time; and repeating step S20 and S30 until completing all the prediction time period, and accordingly, obtaining the prediction result of the prediction time period.

The invention discloses an intersection traffic organization and signal timing dial method for tailgating opposite exit lane left-hand turning. According to the method, the problem that the number of left-turn vehicle entrance lanes and the number of left-turn vehicle exit lanes in a signal intersection are not matched is solved, phase position and sequence optimization in signal control is matched, an intersection releasing mode is reorganized, left-turn motor vehicles are made to turn leftwards by occupying the exit lanes, and therefore the left-turn traffic capacity of the intersection is improved. Emptying signal lamps are arranged to empty the queue of a left-turn tailgating motorcade, and the traffic flow conflict of the next conflict phase position is avoided. The left-turn traffic flow traffic efficiency can be effectively improved, the vehicle mean delay of the intersection is overall reduced, and the service level of the intersection is improved.

The invention discloses a chlorophyll calculating method based on remote-sensing images and a water ecological model. The method comprises the steps of 1, based on remote-sensing image data, data preprocessing like radiometric calibration, atmospheric correction and image cropping and fusing is conducted; 2, a remote-sensing water quality inversion model is constructed, and respective inversion ofindexes like water temperature and chlorophyll concentration is achieved; 3, various index concentrations and future weather change which are obtained through inversion of the remote-sensing images are regarded as input conditions of the water ecological model, and the chlorophyll concentration dynamic change process of a water area environment is simulated within a future duration caused by change like nutritive substance conversion and algae growth and death under a future weather change condition. The chlorophyll calculating method is applicable to water environment monitoring and predicting, and has popularity and high calculation precision, chlorophyll concentration prediction and simulation of a large area of a drainage basin are achieved in real time under the condition of the limited monitoring site, and an integrated chlorophyll concentration predicting system integrating the remote-sensing images and the water ecological model can be formed.

The invention discloses a method of generating a 3D house type model by a 2D house type model based on camera shooting. The method comprises steps: 1, a 2D house type picture is acquired through camera shooting; 2, an essential matrix reduction method is used for correcting the 2D house type picture acquired in the first step; 3, image enhancement processing is carried out on the2D house type picture after processing of the second step; 4, a contour line of the 2D image after processing of the third step is extracted; 5, a door and window model base is built, matching is carried out according to the contour line extracted in the fourth step, and door and window positions are recognized; 6, a wall structure is stretched to a fixed height position, and generation of a 3D house type model is completed. The method has the following advantages that automatic generation of the 3D house type model from the 2D house type model is realized, the generation method is simple, applicability is universal, the generation method can be embedded in a portable mobile device to form APP application software to be combined with a camera of the portable mobile device, and practicability is provided.

The invention relates to a digital beam tracking method for a molecular matrix of a satellite mobile communication phased-array antenna. The digital beam tracking method is characterized by comprising the following steps: dividing a phased array into 4 quadrants, namely the first quadrant, the second quadrant, the third quadrant and the fourth quadrant, according to the rectangular coordinate system, wherein the beam direction of each unit in each quadrant is controlled by united phased control logic; each quadrant comprises a power combiner (1), power dividers (2) and a tracking and receiving module (3); signals of the 4 quadrants share a tracking signal processing module (6) and a power combiner (4); power synthesis is independently carried out to the signal of each quadrant by the respective sub-array power combiner (1) to form the power-synthesized signal; then each quadrant respectively divides the power-synthesized signal into two signals by the power divider (2) of each quadrant. The digital beam tracking method can stably and reliably track the satellite under high-speed movement shaking conditions of a carrier.

The invention provides a reliability assessment method for a distribution network including a photovoltaic power supply, comprising the following steps: establishing a multimode reliability model of the photovoltaic power supply and determining the power and the probability of each mode of the multimode reliability model; adopting an FMEA (failure mode and effect analysis) method to analyze all failures of the distribution network so as to obtain reliability indexes of all loads of the distribution network and the first class of reliability indexes of the photovoltaic power supply influenced by the distribution network; and determining the second class of reliability indexes of the photovoltaic power supply in accordance with the multimode reliability model and determining the reliabilityindexes of the distribution network in accordance with the reliability indexes of the all loads. The reliability assessment method is used to assess the distributed photovoltaic power supply reasonably and provides reliable judgment basis for the capacity that the distributed photovoltaic power supply accesses to the distribution network and position selection.

The invention discloses an amplitude and phase error correction method used for a linear array of an underwater acoustic transducer, and the method utilizes the feature that the relative value of rotation angle of a rotation mechanism of a water tank is easy to be precisely controlled, leads the array to be tested to gradually receive a plurality of test signals with different incident angles, andadopts a certain method for estimating a curve of incident directions of various test signals and amplitude and phase errors of each basic element in the array which are changed along with the incident angles, thereby being used for array amplitude and phase error correction. The method comprises the following steps: (1) obtaining the curve of the array amplitude and phase errors which are changed along with the incident angles by measurement and calculation; and (2) utilizing the curve of the array amplitude and phase errors which are changed along with the incident angles for carrying out correction on direction-of-arrival estimation (hereinafter referred to as DOA). The method has the advantages that the array correction method does not need to carry out micro-disturbance hypothesis onthe amplitude and phase errors of the array of the transducer, takes into consideration of inconsistency of the amplitude and phase errors of various array elements at the different incident angles,has a certain universal applicability and is particularly applicable to the correction of the high-frequency underwater acoustic transducer.

The invention discloses a method for rapidly detecting a car logo in videos and images, relating to an image processing system and aiming to provide a universally applicable method for rapidly detecting a car logo in videos and images on the basis of determining license plate coordinate information in the conventional license plate detection technology. The method for rapidly detecting the car logo in the videos and images comprises the steps of: (1) coarsely positioning the car logo; (2) pre-processing and filtering an image; (3) performing highlighting processing on a filtering result of the image to remove noise points from the image; (4) binarizing the image subjected to the highlighting processing; (5) selecting a binary image; and (6) extracting a car logo region exactly. According to the method for detecting and locating the car logo, provided by the invention, in a real-time video sequence, no only are short processing time and high accuracy rate achieved, but also no parameter information is contained. Thus, the method can be applied to various traffic occasions.

The invention relates to a petroleum geophysical prospecting processing technology, in particular to a method for improving the prediction precision of an oil and gas reservoir by using the seismic attribute related to offset distance. The method comprises the following steps: a CMP / CRP trace gather is transformed to an angle domain to obtain an angular-trace gather, the partial angle stacking is performed so as to form an angle stacking section, then the angle stacking section is calibrated on the scale of the reflection coefficient of the actual seismic record, and the AVO attribute RE related to the offset distance is extracted on different angle stacking sections; and an oil-gas abnormal boundary is outlined by using the extracted new attribute related to the offset distance. The invention performs gather operation only to different angle stacking sections and remarkably improves the efficiency of the attribute extraction method based on the AVO technology. In addition, the random noise is suppressed during the implementation process by stacking partial angles, and the non-determinacy of the inversional result of the AVO attribute due to the too less offset data inversed before stacking owing to the NMO correction stretching is avoided.

The invention discloses a hollow magnetic nano-grade composite catalytic material MOx(OH) / ferrite magnetic nano-cluster and a preparation method thereof. According to the invention, metal salt and ferrite magnetic nano-cluster with certain amounts are added into appropriate micro-molecular monohydric alcohol or polyhydric alcohol; the mixture is subjected to heat treatment for a certain period of time under a certain temperature; an obtained product is subjected to magnetic separation-washing, and drying treatment, such that the inorganic nano-grade composite material hollow MOx(OH) / ferrite magnetic nano-cluster is obtained, wherein MOx(OH) is one or a mixture of more than two selected from metal oxide, composite oxide, basic oxide, and metal. The invention provides a simple and pervasive preparation method. With the invention, several types of novel hollow magnetic nano-grade composite catalytic materials are obtained. A novel idea is provided for the preparations of magnetic nano-grade composite catalytic materials. A catalytic performance of the material is evaluated in a benzyl alcohol oxidation system, and a research basis is provided for industrialized application of the material.

The invention provides an image classification method and apparatus based on multi-core learning classifier fusion. The method comprises steps of: S1, establishing a sample library which includes different types of samples; S2, performing feature extraction on the different types of samples and obtaining kernel functions corresponding to the different types of samples according to feature extraction results; S3, synthesizing the obtained kernel functions to establish a multi-core model; S4, training the multi-core model to obtain a plurality of classifiers; S5, using an Adaboost algorithm to assign different weights to the plurality of classifiers obtained in the S4 so as to fuse the plurality of classifiers to obtain a target classifier; and S6 classifying the images to be classified by using the target classifier to obtain a classification result. The image classification method of the present invention can improve the accuracy of image classification.

The invention discloses a method for fast early warning against a water body water bloom risk. The method comprises a first step of constructing an alga biomass prediction model based on environment analysis results; a second step of adopting the alga biomass prediction model to obtain an alga biomass prediction value; a third step of determining an alga biomass water bloom risk threshold of advantageous algae; and a fourth step of comparing the alga biomass prediction value with the alga biomass water bloom risk threshold and judging whether water bloom early warning is sent out. The method is suitable for water environmental quality monitoring, is simple, convenient and rapid, can achieve fast early warning of the water bloom risk and can provide timely and effective technical support for water environment emergency management.

The invention provides a maximum power point tracking method based on efficient adaptive perturbation and observation. By the aid of the maximum power point tracking method, the problem that the step size used in a traditional perturbation and observation method in the photovoltaic-battery maximum power point tracking technology is difficult to balance, completely adaptive perturbation can be realized, and tracking speed, stability precision and universality of a system are high. The maximum power point tracking method with a basic principle includes that computing continuous output power values of a photovoltaic array according to filtered voltage and current signals; generating error signals according to changes among power signals; generating adaptive perturbation voltage values via a PI (proportional plus integral) controller; and finally generating a reference value of voltage of the photovoltaic array according to the basic principle of perturbation and observation. An error signal of an actual value and the reference value of the voltage of the photovoltaic signal is computed, and a duty cycle signal d required by a DC / DC converter is generated by another PI controller, so that on and off time of each power switch tube of a phase-shift full-bridge converter is controlled, power outputted by the photovoltaic array is adjusted, and the maximum power output point of the photovoltaic array can be tracked.

A step-motion actuator using piezoelectric material to launch a flight mass which, in turn, actuates a drive pawl to progressively engage and drive a toothed wheel or rod to accomplish stepped motion. Thus, the piezoelectric material converts electrical energy into kinetic energy of the mass, and the drive pawl and toothed wheel or rod convert the kinetic energy of the mass into the desired rotary or linear stepped motion. A compression frame may be secured about the piezoelectric element and adapted to pre-compress the piezoelectric material so as to reduce tensile loads thereon. A return spring may be used to return the mass to its resting position against the compression frame or piezoelectric material following launch. Alternative embodiment are possible, including an alternative first embodiment wherein two masses are launched in substantially different directions, and an alternative second embodiment wherein the mass is eliminated in favor of the piezoelectric material launching itself.

The invention relates to a continuous production device and method of orientation nanometer fiber yarns. The continuous production device comprises a yarn bobbin (6), a yarn guiding pipe (5) and a receiver (4); the yarn bobbin (6) is driven by a motor (2) to rotate and is located above the yarn guiding pipe (5); the yarn bobbin (6) and the yarn guiding pipe (5) are perpendicular to each other; the yarn guiding pipe (5) and the motor (2) are fixed on a rotating shaft of a motor (1); the receiver (4) is driven by a motor (3) to rotate; the axes of the motor (1) and the motor (3) are located on the same straight line. According to the continuous production device and method of the orientation nanometer fiber yarns, the continuous production of the nanometer fiber yarns is achieved and the application in the biological, textile, material and electronic fields of nanometer fibers is expanded.

The invention provides a measurement system and measurement method utilizing non-freezing model ice to obtain the ship model resistance in trash ice. First, by selecting non-freezing model ice from a conventional towing pool to replace frozen model ice in an ice pool, so that the towing pool without a low temperature environment is equipped with the condition of simulating ice trash working conditions; and then a unique buoy fence structure is designed on the surface of the towing pool to achieve simulation of an ice trash channel, and a force cell is used to realize measurement of the ship model resistance at different speeds. In addition, the invention adopts the means of firstly measuring the resistance of the open water and measuring the resistance at a very low speed (0.02m / s) under the floating ice condition, elements such as the open water resistance, the floating ice resistance and the clear ice resistance are separated, and the resistance performance of a corresponding ship model and a real boat in the working condition of trash ice is forecast. The measurement system and measurement method of the invention provides a new idea for measurement of the ship model resistance in the trash ice in a condition that now ice pool facilities in china are not perfect.

The invention discloses a seepage simulation method for constructing a coal body based on finite element-discrete element CT (Computer Tomography). The method comprises the following steps: performing industrial CT scanning to obtain a three-dimensional data body of the coal body, performing three-dimensional reconstruction, and removing an ''island block'' to obtain a general three-dimensional geometric model which can be called by simulation software; writing a coal body fracture discrimination algorithm by a discrete element simulation method, and determining whether the coal body is deformed, even fractured under the action of hydraulic pressure stress; meanwhile, realizing migration of coal body fragments formed after fracture in the coal body along with moisture flow based on an finite element simulation method by a mobile grid method; and performing numerical simulation of a moisture seepage pressure field, a seepage speed field and a coal body moisture increment at the same time in order to reveal deformation and fracture phenomena of the coal body and a migration rule of moisture in a water injection process of a porous medium coal bed to the maximum extent.

The invention discloses an electrified railway energy storage type traction power supply system and a control method thereof. The system comprises a power flow controller, an energy storage system anda single-phase main traction transformer. The power flow controller comprises a high-voltage matching transformer, a grid side AC / DC converter, a traction side AC / DC converter, an intermediate DC side capacitor and a traction matching transformer. The energy storage system comprises a bidirectional DC / DC converter and an energy storage element, and the energy storage element is connected in parallel to the intermediate DC side capacitor through the bidirectional DC / DC converter. The control method comprises the following steps: collecting voltage and current data of a load at the outlet of asubstation, judging the operation condition of the system, and calculating the compensation power of the ports of the power flow controller and the energy storage device under each condition; adding the compensation power into double-loop control of a power outer loop and a current inner loop to obtain a modulation signal; and generating a switching signal of a control device through PWM modulation. Recovery and reutilization of the regenerative braking energy of trains are achieved, the utilization rate of the regenerative braking energy is increased, and negative-sequence electric energy quality treatment and compensation device capacity optimization are achieved.

The invention discloses a full-flow model rule commercial bank personal loan overdue collection management system and belongs to the software development technology field. With the computing aid of an IT system, the repayment condition of each loan is identified through a loan risk control model; the system automatically judges the most reasonable way of loan collection and can effectively process overdue transactions through collection implementation, collection adjustment supervision, collection historical inquiry and collection statistical report standardization and intelligent management modules so as to push forward collection works according to different layers and with specific purposes, and therefore, the safe collection of credit funds can be ensured. With the full-flow model rule commercial bank personal loan overdue collection management system of the invention adopted, the production of a collection process model and the collection of customer activity data can be realized; and data are accumulated, and therefore, customer overdue behavior analysis can be performed, and customer overdue conduct rules and collection rules are updated.

The invention discloses a method for preparing full-spectrum fluorescent carbon dots by using a one-pot method, wherein aniline is used as a precursor and is added with an organic acid, and growing isperformed in an organic solvent by a solvothermal method to obtain carbon dots with different fluorescence. According to the method, aniline and an organic acid are added into an organic solvent according to a certain ratio, and growing is performed through a solvothermal method at a reaction temperature of 120-250 DEG C for 2-48 hours to obtain carbon dots with different fluorescence; and afterthe reaction, the reaction kettle is naturally cooled to room temperature, and filtering is performed by using a 220 nm filtering membrane to obtain a carbon dot solution. According to the invention,the emission peak wavelength of the carbon dot synthesized by the method is 450-700 nm, the fluorescence emission peak of the carbon dot is hardly changed along with the change of the excitation wavelength, and the carbon dot has the characteristics of high fluorescence quantum yield and stable fluorescence intensity; and the preparation method has the advantages of simple synthesis steps, short period and high yield.

The invention discloses an in-vehicle network invasion detection method and system. The system comprises a timing module, a detection module, and a learning module; The timing module is used for transmitting the operation time of the system to the communication module, and the communication module records the timestamp of the receiving time of a received message and the identity label of a messagetransmitting node according to the operation time of the system. The communication module is used for transmitting the identity label and the timestamp of the receiving time to the learning module and the detection module. The learning module is used for determining a clock drift theoretical value of the transmitting node according to the timestamp of the receiving time when a network is normal,and carrying out the binding of the clock drift theoretical value with the identity label of the transmitting node. The detection module is used for determining the deviation of the clock drift of thetransmitting node relative to the clock drift theoretical value according to the timestamp of the receiving time during invasion detection. The system provided by the invention can be directly installed on a T-Box communication module, and the method and system are good in universality, and can guarantee the network safety of most vehicles.

The invention discloses a frequency domain interpolation electric power harmonic wave analysis method based on discrete Fourier transform. The method comprises the following steps: (1) conducting time domain continuous signal discretization; (2) selecting an appropriate cosine-class window to weight a discrete sampling sequence according to measuring requirements; (3) performing fast Fourier transform on the sequence; (4) finding the two longest spectral lines close to harmonic waves in the form of spectrum peak searching, and calculating a spectrum value ratio between the two lines; (5) obtaining a frequency deviation according to a Newton interpolation method; and (6) further solving the amplitude, frequency and initial phase of sub-harmonic waves on the basis of the obtained frequency deviation. A fast interpolation based on table look-up is independent of a window function. The method is universally applied, and can be combined with any window function to conduct harmonic wave analysis. Meanwhile, no complex operation exits, the computational complexity is low, and the method is easy to realize in an embedded system.

The invention relates to a broadband object simulator verification platform and verification method; the broadband object simulator verification platform comprises the following units: a signal generation module used for forming parallelly outputting emission signal, local oscillator signal and frame synchronising signal according to radar signal parameters, wherein the local oscillator signal isformed by a DSS unit in a lookup mode according to a frequency control word calculated through the signal parameters; a data acquisition module used for caching an AD inputted signal to a FLASH arraythrough a DDRIISDRAM, and said signal can be read by a host computer through a PCIE interface; a data analysis module used for processing the waveform data gathered by the data acquisition module, andverifying a simulation echo effect formed by a simulator. The platform and method can satisfy verification needs of different-system radar object simulators; the signal generation module can producea plurality of radar signal waveforms; the data analysis module has processing algorithms for the plurality of radar echo signals, and has general applicability, thus saving mass resources and time costs for the simulator performance verification works.

The invention discloses a method for predicting the volume content of corrosion pores in a carbonate reservoir. The method comprises the following steps: step 1, obtaining physical parameters of the carbonate reservoir; step 2, based on the physical parameters obtained in the step 1, calculating the bulk modulus and shear modulus of saturated rock of an actually-measured carbonate reservoir; step 3, calculating the bulk modulus and shear modulus of a rock matrix of the carbonate reservoir and the bulk modulus of a pore fluid; step 4, establishing a dual-pore-medium critical porosity model, and calculating the bulk modulus and shear modulus of a rock framework of the carbonate reservoir; step 5, calculating the bulk modulus and shear modulus of saturated rock of the carbonate reservoir through a Geissmann equation; step 6, comparing the bulk modulus and shear modulus of saturated rock of the carbonate reservoir with the bulk modulus and shear modulus of saturated rock of the actually-measured carbonate reservoir, and calculating an error; and step 7, modifying the set volume content of corrosion pores, performing the step 4 to the step 6 in sequence, calculating an error corresponding to the set corrosion pore condition, and obtaining an optimal volume content of corrosion pores.

The present invention relates to automatic multiple view point laser scanning data registering method for large scale 3D scene. The method includes the following steps: obtaining the data of the measured scene by using laser range finder with Z-axis regulated to be perpendicular to ground and X-axis and Y-axis to be parallel to ground; scanning the measured scene to obtain the 3D data of each view point in the superposing rate of 10-20 %; extracting the structure and characteristic of the measured matter; calculating the virtual characteristic unit and constituting characteristic unit, coarsely registering, finely registering, overall registering and finally establishing registered model. The method of the present invention is widely applicable.