52results about How to "Accurate basis" patented technology

The invention relates to a constant temperature wiggly corrosive wear testing device and a test method thereof. A medium cavity of a high ball discharge test piece is arranged on the periphery of a lower clamp of the testing device, and the cavity is filled with test medium; the wall of the cavity is of a sandwich layer structure, the lower part of the sandwich layer is provided with a water inlet, the upper part is provided with a water outlet, the water inlet is connected with a constant temperature water bath kettle by a miniature water pump, and the water outlet is directly connected with the constant temperature water bath kettle, thereby forming a constant temperature water circulation system; an auxiliary electrode and a reference electrode are immersed in test medium of the medium cavity; and the auxiliary electrode, the reference electrode and the upper end face of an upper test piece are respectively connected with the corresponding port of a microprocessor controlled electrochemical workstation by conducting lines so as to form an electrochemical corrosion test system. The testing device and the method thereof can conveniently wear materials in the constant temperature test medium by wiggly corrosion, thereby much more factually and accurately testing the wiggly corrosive wear property of the materials in the specific corrosion medium; and the testing device and the method thereof provide much more accurate and reliable test basis for corresponding design, so that the properties and the service lives of equipment and apparatus can be increased.

A method for registering a non-patient-characteristic three-dimensional magnetic resonance data set (MR data set) to patient-characteristic data includes: producing or providing a non-patient-characteristic three-dimensional generic model of a body or body part containing body structure data; ascertaining or providing two-dimensional patient-characteristic detection data of a patient; using a transformation protocol for data-linking the body structure data of the three-dimensional generic model to the two-dimensional patient-characteristic detection data to change or adapt the generic model of the body or body part based on the ascertained two-dimensional patient-characteristic detection data, wherein the three-dimensional generic model is at least correlated with a three-dimensional MR reference data set; and changing or deforming at least a part of the three-dimensional MR reference data set by using the transformation protocol to generate a patient-characteristic three-dimensional MR data set that is registered to the fluoroscopic images.

The invention relates to a method for acquiring motion sound field video based on a random microphone array and binocular vision, and belongs to the technical field of noise analysis and control. Firstly, sound filed information is obtained by the random microphone array, 3D measurement and automatic tracking of a moving body in the sound field space are performed by the binocular stereo vision technology, a space-time relation between the sound field space and signals is established, the sound field measurement result is matched with 3D video images of a camera to visually display the motion process of the object and the dynamic change process of the sound field by dynamic video and obtain positions of various noise sources. The method causes the existing sound field visualization method to be more accurate and practical, and causes the measurement and identification of motion noise to be easier, thus providing more accurate reference for the further sound source identification and noise reduction work.

The invention relates to a medical image analysis method, a device, computer equipment and a storage medium. The medical image analysis method comprises the steps of acquiring a medical image video stream which comprises no less than two video frames based on pathological slices; extracting the video frame of the medical image video stream; extracting the single-frame image characteristic of the video frame, mapping the single-frame image characteristic to a single-frame diagnosis classification result; based on a video stream characteristic sequence, performing classified mapping according toa preset mapping rule, and obtaining a target diagnosis classification result; wherein the video stream characteristic sequence comprises the single-frame image characteristic and the single-frame diagnosis classification result of each video frame. Because characteristic extraction and classification mapping are performed based on the medical image video stream for obtaining the target diagnosisclassification result and the medical image video stream comprises no less than two video frames based on the pathological slices, accuracy of the diagnosis classification result can be improved, thereby supplying an accurate basis for medical diagnosis.

The invention discloses a transmission line inspecting comprehensive management system, which comprises at least one monitoring terminal, at least one mobile inspecting terminal, a server and at least one background management system, wherein the monitoring terminal is used for shooting a monitoring image or a monitoring video of a transmission line; the mobile inspecting terminal is used for inspecting the transmission line, and generating inspecting condition information; the monitoring image or the monitoring video and the inspecting condition information are sent to the server through a mobile communication network; the background management system can receive the monitoring image or the monitoring video and the inspecting condition information through the server and can send inspecting test information to the inspecting terminal through the server, so that the real-time monitoring on the transmission line inspecting condition is realized; the conditions that the inspecting work of each piece of equipment of a transmission line is not proper and is not perfectly implemented and the like are effectively managed and controlled; a reasonable, accurate and reliable basis is provided for overhaul work; the line equipment operation management work efficiency is improved; the safe operation level is improved.

Apparatus (1) for generating acknowledged flow (Q), comprising a first passage (2) with ends (3,4) for acknowledged flow (Q) inlet and outlet, a discharge electrode (5) for generating airborne unipolar ions (8) positioned inside the first passage (2), a counter electrode (6) adapted to attract said airborne ions (8), thereby being adapted to cause a net flow (7) of airborne ions (8) and thereby generating an airflow (Q) in the direction of the net flow of airborne ions (8), sensing element (12, 13) , the output of which is a function of the concentration of the airborne electric charge (8, 11), means (17) for switching or modulating a parameter which affects the output of the sensing element (12,13) and means for determining the volumetric flow (Q) on the basis of the time response which switching or modulation creates to the sensing element (12,13) output. 11. Use of apparatus (1) as described in the previous claims for determining ultrafine particle concentration. Process for generating acknowledged flow.

The invention discloses a water-drive pool seepage field visual representation and evaluation method based on flow field diagnosis, and belongs to the field of oilfield flooding development adjustments. A target reservoir geological model is established, and flow exchange capacity among grids of the target reservoir geological model is calculated; according to the flow exchange capacity among the grids, seepage field propagation time distribution is calculated, numerical value tracer materials are calculated, and according to numerical value tracer material distribution, different injection well affected areas and production well control areas are divided; according to the propagation time size, grid joints in different areas are sorted, and a flow capacity-accumulation capacity diagnosis graph is made to evaluate flow heterogeneity in different areas; and according to three evaluation indicators of the flow heterogeneity, average oil saturation and pore volumes in different areas, development potential in different areas is evaluated. According to the water-drive pool seepage field visual representation and evaluation method based on the flow field diagnosis, the problems of low accuracy and poor convergence under complex geological conditions in an existing seepage field evaluation method are solved.

The invention relates to a method for calibrating the space angle of an acoustic image plane in an acoustic field visualization system. The method comprises the following steps: 1) creating a microphone array and a camera, defining coordinate systems, and measuring the space position of the origin of the coordinate system of the camera in the coordinate system of the microphone array; 2) calibrating the camera to obtain internal parameters; 3) arranging an acoustic source at a place d in front of the camera, and slowly moving the acoustic source to obtain the acoustic signal of the moved acoustic source and a real image; 4) reconstructing the acoustic signal to obtain the acoustic pressure chromatogram map of the moved acoustic source, obtaining the microphone array and reconstructing an acoustic source pixel position; 5) carrying out distortion correction on the real image shot by the camera by virtue of the internal parameters of the lens of the camera according to the nonlinear model of the distortion of the lens, and obtaining the acoustic source pixel position shot by the camera; 6) carrying out superposition matching on the distortionless real image and the corresponding acoustic pressure chromatogram map, and solving the space angle relationship between an acoustic plane and the plane of the real image by virtue of a simple-target optimization algorithm. The method disclosed by the invention can be widely applied to processing for an acoustic field noise.

The invention discloses a slope shattering soil block stability calculation method. The slope shattering soil block stability calculation method comprises the following steps: dividing each calculatedsliding block into n calculation units according to a breaking degree and crack development degree of each sliding block; valuing l according to breaking degree classification standard of the slidingblock; calculating each calculation unit by adopting a transfer coefficient method, and obtaining a stability coefficient of each calculation unit; solving a ratio of l in a slope surface according to a length difference value of the previous calculation unit and the next calculation unit on the slope surface, and calculating the slope shattering soil block differential stability coefficient; calculating each calculation unit of the sliding block by utilizing a transfer coefficient overload method, and obtaining a thrust force of each calculation unit; and calculating the remaining thrust force of the slope shattering soil block. By adopting the slope shattering soil block stability calculation method, not only is the breaking degree of a soil shattering slope considered, but also the breaking mode of the soil shattering slope is considered, and more accurate evidence is provided for the analysis of the stability.

The invention relates to a digital operation analysis platform and method based on an enterprise informatization heterogeneous system. The platform comprises a heterogeneous service system data sourcelayer, a data layer, an interface access layer, a service logic processing layer, a route processing layer and a data display layer which are connected in sequence. The method comprises the followingsteps: step 1, generating service data by each service system; 2, extracting, converting and loading the ETL data to an HANA database; 3, performing service processing on data collection of the HANAdatabase, and performing service logic processing on the data, combining and converting to generate a data format required by the client; and step 4, performing interaction analysis on the data obtained by the user through the service. Compared with the prior art, the method has the advantages of meeting the requirements of operation analysis in the aspects of data structuralization, data availability and visual analysis and the like.

The invention discloses an electroencephalogram relaxation degree identification method based on the time domain and the phase space. The method comprises the steps that an original electroencephalogram signal is cut into slices, the to-be-processed sequence signals of electroencephalogram are generated; signal waves are extracted from the to-be-processed sequence signals of the electroencephalogram; energy parameters of the signal wave are calculated, based on the maximum value of the energy parameters and the rate of change ratios of the equipotential energy parameters of the brainwave, the characteristic quantity in the time domain space for the to-be-processed sequence signals of the electroencephalogram is obtained; according to the signal wave and the to-be-processed sequence signals of the electroencephalogram, a two-dimensional chart containing signals is formed, and the signal coverage density on the two-dimensional chart is statistically measured, the phase-space characteristic quantity of the sequence signals of the electroencephalogram is obtained; classifications and identifications are carried out according to the characteristic quantity in the time domain and the characteristic quantity in the phase space, and the relaxation degree of the electroencephalogram is obtained. The invention also provides an electroencephalogram relaxation identification device based on the time domain and the phase space, the characteristics at different angles of each brain wave can be fully extracted, so that the accurate identification of the relaxation degree of the electroencephalogram is achieved.

The invention discloses a thin liquid film corrosion testing device capable of controlling liquid film thickness automatically. An electrolytic cell is placed on an iron stand table. Micrometer calipers I and II and corresponding probes I and II are arranged on a horizontal beam above the iron stand table. A liquid storage groove is connected with the electrolytic cell through a solenoid valve. The solenoid valve supplies liquid level for the electrolytic cell. An auxiliary electrode, a reference electrode and a working electrode are connected with corresponding ports of an electrochemistry working station respectively, and an electrochemistry corrosion testing system is formed. A universal meter is connected into a loop where the micrometer caliper I and the working electrode are placed. The micrometer caliper II and a platinum electrode are connected with a wire connector of the solenoid valve respectively, and accordingly the three parts form a loop. The device can control the keep a thin liquid film to be of a certain thickness in a certain range automatically, accurately and conveniently, the thickness is convenient to adjust, electrochemistry data collecting of metal corrosion under a certain liquid film thickness is achieved, and accordingly the corrosion mechanism of metal under different film thicknesses can be well studied.

The invention provides a preparation method of TC18 and TC21 titanium alloy oxidation tint inspection sample blocks. The preparation method comprises the following steps: heating a set of 20 oxidation tint sample blocks of TC21 titanium alloy and a set of 20 oxidation tint sample blocks of TC18 titanium alloy under 100 to 1,000 DEG C; performing room temperature detection on the tensile strength, the impact toughness, the breakage toughness, the thickness of an oxidization and a metallographic structure of the test samples corresponding to various oxidization tints of TC18 and TC21 under heating of different temperatures, taking the results as a basis for judging qualified colors and disqualified colors, and determining oxidation tints and sample blocks which are qualified enough for acceptance, wherein after the sample blocks for judging the oxidization tints in TC21 and TC18 titanium alloy heating processes are prepared, an accurate and visual basis is provided for inspection on the two new alloys after processing manufacturing, so that the potential hazard of misjudgment is eliminated.

The invention discloses a BCR / ABL gene fusion and ASS gene deletion detection kit. The kit comprises a first group of probes labeled with dyes and aiming at ASS and ABL gene sequences, and a second group of probes for detecting an upstream gene sequence of an M-BCR breaking site of a BCR gene. The dyes labeling the two groups of probes are in different colors. The two groups of probes are amplification products obtained by amplification based on a human genome DNA as a template and amplification primers. The length of the FISH probes is designed according to a lot of experiments. Through experiment result comparison and statistic analysis, the optimal length is obtained and the optimal balance between the detection specificity and hybridization time is realized. The BCR / ABL gene fusion and ASS gene deletion detection kit guarantees result specificity and sensitivity, shortens hybridization time, has detection time of 7-8h and improves detection efficiency.

The invention relates to a large-scale rainfall monitoring abnormal site screening method. The method comprises the following steps of 1, preliminarily judging a base station based on annual sequence rainfall observation data by adopting a Hampel method; 2, judging the base station again by adopting the Grubbs criterion; 3, after the base station is determined, a surrounding observation station analysis method is adopted to judge abnormal stations based on hourly rainfall monitoring data; and step 4, performing radar-assisted verification on the abnormal site. According to the method, anomaly identification and rapid processing of large-scale rainfall monitoring station data can be realized, the anomaly identification rate is up to 95% or above, and an accurate and reliable basis is provided for rainstorm flood risk prompting and early warning.

The invention relates to a method for determining the thickness of a high speed railway bedding structure of a ballast track. The method mainly comprises the steps of determining the wheel loading force of the adjacent sleeper and the average pressure of the left side of the bottom of a sleeper 3 based on the normal distribution curve; considering the vertical diffusion of the wheel loading force of one sleeper side (left side) right below a wheel, the stress of a position right below the center of the sleeper bottom (left side), diffused obliquely by the wheel loading force of the other sleep side (right side), and the stress of a position right below the center of the sleeper bottom (left side), diffused obliquely by the wheel loading force of the bottoms of the left side and the right side of the adjacent sleeper, so as to obtain the relation of the total load stress of the vehicle in a depth position right below the wheel at left side and the depth and further obtain the thickness of the bedding structure. The method has simplicity in calculation and accurate result, thus further ensuring the service life of the railway and the safety operation of a train, and also reducing the railway repairing and maintaining costs and preventing waste.

The invention discloses a detection device and method for judging and recording the position of silicon wafers, and belongs to the technical field of semiconductor carrying equipment. According to the invention, slots of a silicon wafer box are arranged in a trapezoidal manner, the upper end of the silicon wafer box is provided with an opening, the edge of a silicon wafer at each layer can be observed when the silicon wafers are seen from top to bottom, an infrared distance sensor is installed above the silicon wafer box, a signal transmitting path is along the vertical direction, an air cylinder drives the sensor to move in a straight line manner, a signal transmitting diode of the sensor transmits signals to the silicon wafers through the opening at the upper end of the silicon wafer box, the signals are reflected by the edge of the silicon wafer at each layer and received by a receiving diode, signals reflected by the silicon wafers located at different layers are different, the reflected signals are transmitted to an industrial control computer through an acquisition card, the industrial control computer performs analysis and classification on the acquired signals through software, and a manipulator performs process operations according to data of the industrial control computer. The detection device and method provide an experimental basis for recognition for the position of the silicon wafers and the operation reliability of the manipulator.

A method for determining the ultimate bearing capacity of a gravel pile mainly comprises the steps that on the basis of the coulomb strength theory, the included angle between a fracture surface and the maximum principal stress acting direction is determined; and when the gravel pile is under the action of an upper load, the lateral confinement constraint force of foundation soil on the pile bodyis considered, the influence of pile body self-weight stress is also considered, the pile body stress is simplified to the direction of the inter-pile soil fracture surface, and a stress balance modelis established, so that the mutual relation between the gravel pile single-pile bearing capacity and foundation soil and the pile body self-weight stress is obtained, and then the more accurate gravel pile single-pile bearing capacity is obtained. The method is simple in calculation, more comprehensive in consideration of influence factors, and more in accordance with engineering practice in calculation result, provides accurate and reliable basis for engineering design and construction, and avoids waste.

The invention discloses a dynamic and static evaluation method for path quality of a wireless network, and relates to the field of data communication transmission. The method comprises the following steps: step 1, setting any path in nodes of N nodes corresponding to a network physical topology G as Pinode, wherein the path between the two nodes is P<j><channel>; step 2, obtaining a path quality parameter table; step 3, obtaining a preset path p, and sending the path delay parameter detection packet to a target node Vq along the preset path p; step 4, judging whether the dynamic path quality of the preset path p meets the service transmission quality requirement or not according to the service delay requirement thr; and step 5, updating and replacing the static quality parameter and the dynamic quality parameter in the path quality parameter table. According to the invention, the sending frequency of the detection packet is adjusted in real time, and optimization of the dynamic and static path quality parameter table is realized.

The invention discloses a thin liquid film corrosion testing method capable of controlling the thickness of a liquid film automatically. A device adopted in the method comprises an iron support, a micrometer caliper I, a micrometer caliper II, a probe I corresponding to the micrometer caliper I, and a probe II corresponding to the micrometer caliper II. A liquid storage tank is connected with an electrolytic bath through an electromagnetic valve. Before a test is started, circuit connection is conducted firstly, and a universal meter is connected to a circuit where the micrometer caliper I and a working electrode are located; the micrometer caliper II and a platinum electrode are connected with a wiring port of the electromagnetic valve to form a circuit; then the thickness of the liquid film is set through the probe I and the probe II. When the test is conducted formally, automatic liquid replenishment can be achieved through opening and closing of the electromagnetic valve. By the adoption of the method, the thin liquid film can be controlled automatically, conveniently and accurately to be maintained at a certain thickness within a certain range, the thickness can be adjusted conveniently, metal corrosion electrochemical data acquisition at a certain liquid film thickness is achieved, and then research on metal corrosion mechanisms at different film thicknesses can be facilitated.

The invention relates to a method for acquiring motion sound field video based on a random microphone array and binocular vision, and belongs to the technical field of noise analysis and control. Firstly, sound filed information is obtained by the random microphone array, 3D measurement and automatic tracking of a moving body in the sound field space are performed by the binocular stereo vision technology, a space-time relation between the sound field space and signals is established, the sound field measurement result is matched with 3D video images of a camera to visually display the motionprocess of the object and the dynamic change process of the sound field by dynamic video and obtain positions of various noise sources. The method causes the existing sound field visualization methodto be more accurate and practical, and causes the measurement and identification of motion noise to be easier, thus providing more accurate reference for the further sound source identification and noise reduction work.

The invention discloses a horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and analytic hierarchy process, and belongs to the field of horizontal well water shutoff and profile control. Injection pressure, a water absorption index, a Hall curve slope, a water well profile control variable coefficient and a water absorption profile homogeneity coefficient are selected as a factor set of horizontal well water shutoff and profile control effect evaluation indexes, and the evaluation results are divided into four grades of good effectiveness, relatively good effectiveness, general effectiveness and no effectiveness to form a comment set. The method also includes calculating the membership degree of each factor in the factor set to the evaluation result according to the membership function, and constructing an evaluation matrix; analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set; and based on a weighted average model, obtaining a membership degree of the evaluation result to the evaluation grade, and determining a final comprehensive evaluation grade according to a maximum membership degree principle. The invention solves the problems that an existing horizontal well water shutoff and profile control evaluation method is diversified in result and poor in comprehensiveness.

The embodiment of the invention provides an acoustic detection method and device in an unmanned driving environment. The acoustic detection method comprises the steps that an acoustic signal of the environment where an unmanned vehicle is located at the current moment is acquired; performing multi-scale space decomposition on the acoustic signal to obtain multiple groups of decomposition coefficients of the acoustic signal in different scale spaces; performing acoustic feature extraction on each group of decomposition coefficients to obtain a plurality of feature vectors with the same group number as the decomposition coefficients; respectively and correspondingly inputting the plurality of feature vectors into a plurality of trained neural network models, and outputting classification results of sound production object recognition in the environment under different scale spaces; and determining whether the sounding object is a preset type of vehicle or not according to the classification results in all scale spaces. According to the method, the unmanned vehicle can identify specific sounding vehicles such as an ambulance and a police car by using acoustic signals, so that corresponding control operations such as avoidance and the like can be carried out.

The invention discloses an in-service bridge bearing capacity evaluation method without resistance information. The method comprises the following steps: firstly, carrying out necessary investigation and detection to correctly estimate a possible automobile load grade of a bridge, establishing a finite element model to calculate standard values of a dead load effect and an automobile load effect, and further obtaining corresponding statistical parameters and a probability density function to establish a structure failure probability formula; a test load effect value meeting the target reliability index is inversely calculated through a failure probability formula, after the test working condition is implemented, the automobile load grade meeting the bearing capacity is directly evaluated according to the test result, and structural check calculation is not needed. According to the method, resistance information and check calculation are not needed, a field implementation program is basically the same as a load test, the cost is equivalent, the method has the advantages of simplicity, high efficiency and reliable result, the target reliability index and the continuous service life corresponding to the bearing capacity can be adjusted, different management and maintenance requirements are met, and the method has very high practicability and very high popularization value.

The invention relates to an intelligent filtering self-rotating electronic control screw. The intelligent filtering self-rotating electronic control screw comprises a screw body (1) and a nut (7) fixedly arranged at the top end of the screw body (1). The intelligent filtering self-rotating electronic control screw further comprises a fixing clamping ring (4), a distance measuring sensor (9), at least one positioning rod (5), a control module (8), an external power module (2), a rotating motor (3) and a filtering circuit (10), wherein the external power module (2), the rotating motor (3) and the filtering circuit (10) are connected with the control module (8). According to the technical scheme, the intelligent filtering self-rotating electronic control screw is formed by connecting and installing the structures; the structure of an existing screw is improved, and the electronic control structure is designed; the rotating motor (3) is introduced and prevented from rotating around the axis further through the design of the positioning rods (5), so that self-rotating installation of the screw is achieved, and the self-screwing operation is detected in real time. The screw can be effectively installed in a narrow space and prevented from loosening, and the work efficiency is greatly improved in practical application.

The invention discloses a natural gas pipeline corrosion defect typical characteristic extraction method, and belongs to the technical field of oil and gas pipelines. The method comprises the steps: collecting defect-containing pipeline design parameters and conveying medium information; performing pre-classification processing on the corrosive defect data; performing curve fitting on the pre-classified data on the basis of the least square method and the distribution hypothesis to obtain the optimal distribution type and the probability density function of the defect size variable obeying; and carrying out clustering analysis on the defect data by adopting a clustering algorithm improved based on statistics and an outlier detection method and a roulette algorithm thought so as to obtain the defect typical size and distribution characteristic value. According to the method, the initial clustering center selection mode is improved, the adverse effect of the outlier value on clustering analysis is reduced, and a scientific and systematic method is provided for extracting the corrosion defect distribution rule, the typical size and the circumferential distribution characteristics froma large amount of detection data.

The invention discloses a clustering-based automatic driving lane changing scene classification method and a clustering-based automatic driving lane changing scene identification method. The classification method comprises the following steps: 1) collecting data of each sample point needing lane changing scene classification; 2) preprocessing the data in the step 1); (3) taking each preprocessed sample point as a cluster, calculating the distance between the sample point of each cluster and the sample points of all other clusters by adopting an agglomerated hierarchical clustering algorithm, and carrying out combined clustering on two clusters with the closest distance; and 4) taking the clusters which are combined and clustered together as lane changing scenes, and outputting clustering results. According to the automatic lane changing scene classification method and the automatic lane changing scene identification method, an accurate and reliable basis is provided for further improving an automatic lane changing algorithm and an optimization function, and scene classification identification with high efficiency, low cost and high scene coverage rate is realized.

The invention discloses an image acquisition sample prediction device and a prediction method thereof, and belongs to the technical field of image processing. An image acquisition sample prediction device comprises an image acquisition module, an image processing module and a display module which are connected in turn; wherein the image processing module comprises a sample feature processing unitand a genetic synthesis unit; The image processing module of the invention synthesizes the facial features of both parents and predicts the appearance of the next generation on the basis of the feature processing of the acquired appearance and the dominant recessive heredity rule in biology, so that the prediction result is more scientific and accurate. The invention also provides an image acquisition sample appearance prediction method, which further calculates the characteristic data of eyes, nose, mouth and the like in the image processing process of the acquired sample appearance to obtainthe characteristics of each characteristic, and combines the dominant and recessive heredity of genetics to predict the next generation of sample appearance, and the prediction result is more accurate and scientific.

The invention discloses a batch remote sensing image preprocessing method. The method comprises the following steps: acquiring remote sensing images in batches and establishing a batch remote sensing image database, obtaining cloud-containing images by counting the spectral characteristics and texture characteristics of the remote sensing images; detecting cloud-containing images The range of the cloud domain and the cloud content of the cloud domain range are removed, and the cloud-containing image with the cloud content exceeding the cloud-containing threshold is removed; the cloud on the cloud-containing image is removed to obtain a cloud-free image; and the batch remote sensing image database is reconstructed. The invention is fast and efficient, has high precision, and has strong practical value and popularization significance; in the process of image preprocessing, the cloud content on the image is determined, and the cloud domain range on the image is automatically delineated and removed, and the The quality of the image is divided, and an accurate basis is given for image information extraction and data acquisition; the present invention adopts a decision tree method with high work efficiency, which has high efficiency and less human intervention, and can be used for batch selection of remote sensing images and remote sensing image information Extract research.