55results about How to "Quick extraction" patented technology

The invention discloses an automatic site selection method and system for a mountain fan hoisting platform, and belongs to the technical field of new energy wind power generation engineering, and the method comprises the steps: obtaining original topographic data, and reconstructing the original topographic data into a digital elevation model with a spatial index; querying the digital elevation model by using a spatial index based on the structural security constraint parameters of the fan foundation, and determining an effective elevation search interval; discretizing a calculation area into grid units in an elevation interval, taking a core area as a seed point, and outputting binary grid data through a potential energy driving cost function and a heuristic search extension platform boundary; performing morphological correction on the binary raster data and calculating the total earthwork amount; and iteratively searching and optimizing a scheme with the minimum total earthwork volume in the elevation interval, and converting the scheme into vectorized engineering primitives to be output. On the premise that the safety of the foundation structure is ensured, the earthwork amount is globally optimal, and the method has the advantages of being high in automation degree, high in terrain adaptability and good in engineering practicability.

The invention discloses a real-time wireless personnel identity recognition system constructed based on an array antenna and beam forming, and belongs to the technical field of big data processing. The real-time wireless personnel identity recognition system constructed based on the array antenna and the beam forming comprises the array antenna, a wireless signal adsorption device, a wireless signal processing transmission system and an application system which are electrically connected in sequence, and the array antenna can realize the beam forming technology. The wireless signal adsorption device strongly adsorbs wireless mobile phone communication signals within a certain range through a high-power or preset high-priority networking mode. The technical scheme provides a system which is irrelevant to media, wireless, integrated with multiple communication frequency bands, integrated with software and hardware and capable of identifying personal and crowd identities in real time.

The embodiment of the present application discloses a logic circuit truth table determination method, device and electronic equipment, relates to the technical field of electronic circuits, and can quickly extract the truth table of a logic circuit. The method comprises the following steps: based on a first group of input truth values in an input truth value list, input ports of a logic circuit described by a netlist are valued; the input truth value list is generated in advance according to the input ports of the logic circuit described by the netlist; based on the valuation of the input ports, the level value of the output ports of the logic circuit described by the netlist is calculated; it is judged whether the output ports have level values calculated; if the output ports have level values calculated, the calculated level value of the output ports is taken as the output truth value corresponding to the first group of input truth values. The present application is suitable for extracting the truth table of a logic circuit.

The application provides a ship-vehicle-person virtual image establishment method and system, which comprises the following steps: obtaining ship, personnel and vehicle data as source data for preprocessing, calculating and mining labels according to the preprocessed source data, and producing ship, personnel and vehicle labels; defining hierarchical labels; defining group labels; extracting basic attributes of the ship, personnel and vehicle; defining personalized labels, adding personalized labels to the ship, personnel and vehicle according to their basic attributes and respective source data; defining correlation relationship labels among the ship, personnel and vehicle; creating a label table in a database, adding the calculated labels into the label table, and then performing correlation analysis on the respective source data of the ship, personnel and vehicle and the label table according to business requirements to obtain index data; and providing the index data to a ship-vehicle-person virtual image system for drawing charts. The application can improve traffic operation efficiency, safety and risk prediction.

The utility model discloses a forest fire high pressure pump belongs to forest fire field, including the end of bearing, the outer wall fixedly connected with water storage tank of the end of bearing, is provided with the adjusting assembly in the inside of water storage tank, and the adjusting assembly includes the sliding base fixed in the bottom end of water storage tank, the inner wall sliding connection of sliding base has the adjusting board, two adjusting boards are screwed in the outer wall of two -way screw rod, and two -way screw rod is located in the inner wall rotation of water storage tank, and the end portion fixedly connected with hand wheel of two -way screw rod, through the cooperation of above each device, can pass through the intercoordination of each spare part, reduces the labor intensity of operating personnel, improves the utilization of the water body in the box, improves the effect of extinguishing, through the rotation hand wheel makes two -way screw rod rotate, and then makes two adjusting boards opposite movement, and then extrudes the water body of using to the middle part, and then through the height of water body changes to facilitate water pump fast draws, improves the single -use rate of water body, improves the effect of extinguishing.

The invention is suitable for the technical field of mechanical equipment state monitoring and fault diagnosis, and provides a mine main conveying chain equipment bearing fault embedded diagnosis system and method.The mine main conveying chain equipment bearing fault embedded diagnosis system comprises a tunable piezoelectric energy collecting device which is installed on a bearing seat or a carrier roller shaft and used for converting vibration mechanical energy of a bearing into electric energy, a voltage signal representing the vibration state of the carrier roller bearing is synchronously output; the embedded wireless sensor node is electrically connected with the tunable piezoelectric energy collecting device and is used for managing the collected energy and processing and wirelessly transmitting the voltage signal; and the fault diagnosis module receives the voltage signal and performs feature extraction and fault classification on the bearing state based on a convolutional neural network algorithm. According to the invention, sensing and energy supply integration, frequency adaptive matching, high-quality signal acquisition and lossless embedded installation are realized, and a reliable, long-term and self-energy-supply bearing state in-situ monitoring and intelligent diagnosis scheme is provided for rotating mechanical equipment in various mine main transportation chain equipment.

The present invention relates to a method for rapidly and efficiently extracting a plant essential oil from a plant raw material, particularly from xylem of a pine tree, thereby maximizing the yield, reducing the manufacturing cost and time, improving the productivity, performing high-purity treatment on the extracted plant essential oil by a refining process, thereby realizing the diversification and commercialization of the extracted oil, and improving the quality of the plant essential oil. The invention relates to a plant essential oil extraction method and plant essential oil extracted oil extracted by the extraction method.

This invention discloses a method for the stepwise extraction of single components from high-purity insoluble dietary fiber, belonging to the field of chemical separation and extraction technology. The method specifically includes: (1) Lignin extraction: reacting high-purity insoluble dietary fiber with a eutectic solvent at high temperature, filtering to obtain filtrate and precipitate one, and then concentrating, settling, washing and drying the filtrate to obtain lignin; (2) Hemicellulose extraction: adding acetone to precipitate one and stirring and centrifuging to obtain precipitate two; then adding alkaline solution to precipitate two, stirring and settling to obtain precipitate three and supernatant; then subjecting the supernatant to alcohol precipitation and freeze-drying to obtain hemicellulose; (3) Cellulose extraction: washing and freeze-drying precipitate three to obtain cellulose. Through the above method, the stepwise extraction of single components from insoluble dietary fiber can be achieved with high purity; in addition, the raw materials used are inexpensive, and waste can be utilized at high value, reducing resource waste.

The invention discloses a rapid tissue extraction device for pathological experiments, and relates to the technical field of pathological tissue extraction, the rapid tissue extraction device comprises a cylinder and a sampling needle, the sampling needle is fixed at one end of the cylinder, and the sampling needle is communicated with the interior of the cylinder; a positioning part is further included; the positioning part comprises a fixed seat and a positioning cylinder, the fixed seat is fixed at one end, close to the sampling needle, of the cylinder body, and the positioning cylinder is fixed at the unoccupied end of the fixed seat; the positioning cylinder is of a hollow cylindrical structure with two open ends, and the inner side surface of the positioning cylinder is in contact with the outer side surface of the sampling needle; a through hole is formed in the side surface of the sampling needle, a cavity is formed in the positioning cylinder, a preformed hole is formed in the inner side surface of the positioning cylinder, the preformed hole is parallel to the through hole, a screen is fixed in the preformed hole, the screen abuts against the outer side surface of the sampling needle, and the screen is used for intercepting tissue strips; in the extraction process, blood and tissue strips can be separated, pathological tissues are rapidly extracted, and the accuracy of experimental results is improved.

The image non-uniformity correction method and device, the infrared image device and the computer readable storage medium provided by the embodiments of the present application, the method comprises: acquiring a same group of in-focus images and out-of-focus images collected for a target scene; respectively decomposing the in-focus images and the out-of-focus images through wavelet transform to obtain corresponding in-focus sub-band images and out-of-focus sub-band images; determining a fixed image noise component contained in a high-frequency component in the out-of-focus sub-band images based on the high-frequency component; determining a corresponding image component estimation value according to a sub-band coefficient of the in-focus sub-band images and the corresponding fixed image noise component; reconstructing the image component estimation value through inverse wavelet transform to obtain a non-uniformity corrected image of the target scene, thus avoiding information loss and redundancy of the image signal in the decomposition process, so that the non-uniformity corrected image of the target scene is obtained more quickly and more clearly.

This invention provides a method and apparatus for extracting the time-frequency characteristics of combined impact and corrugation defects in railway tracks. The method includes: determining a window length limit based on the discrete-time domain signal; using a third-order B-spline function as the window function for the Short-Time Fourier Transform (STFT) based on the discrete-time domain signal to determine the initial STFT time-frequency diagram and the initial Rayleigh entropy; utilizing the recursive property of the third-order B-spline function as the window function to determine the STFT result sequence and the Rayleigh entropy sequence of equal-length window sequences; determining the time-frequency transformation result and the optimal Rayleigh entropy based on the window length limit, the initial STFT time-frequency diagram, the initial Rayleigh entropy, the STFT result sequence, and the Rayleigh entropy sequence; and determining the time-frequency characteristics of the impact signal and the corrugation signal based on the time-frequency transformation result and the optimal Rayleigh entropy. This invention can simultaneously, quickly, and effectively extract the time-frequency characteristics of the impact component and the corrugation component in railway track defects and express them on a time-frequency diagram.

The invention provides a weld defect identification method, device and equipment, a medium and a program product. Relates to the technical field of welding. The method comprises the following steps: acquiring three-dimensional point cloud data of a target welding seam surface; based on the three-dimensional point cloud data, adopting a pre-trained three-dimensional feature extraction model to extract a three-dimensional feature vector and outputting a corresponding feature map; determining at least one defect candidate area from the feature map by adopting a preset target detection algorithm; and based on the three-dimensional feature vector and the at least one defect candidate area, calculating the probability of each preset defect type in each defect candidate area so as to identify the defect type existing on the surface of the target welding seam. According to the method, the three-dimensional point cloud data is directly processed, so that defect identification can be carried out based on complete three-dimensional features; and through three-dimensional feature extraction and detection algorithm calculation, the efficiency and accuracy of weld defect identification are effectively improved.

This invention relates to the fields of computer vision and civil engineering monitoring technology. It discloses a machine vision-based method for detecting concrete defects in high-speed railway bridge piers, comprising: calculating a global threshold and a local threshold based on a second image; weighting the global and local thresholds to obtain a mixed threshold; and segmenting the second image according to the mixed threshold to obtain a defect image. This invention, through binarization preprocessing of the image and combined with the Faster R-CNN algorithm, can accurately extract concrete defect features of high-speed railway bridge piers, significantly reducing computational resource consumption. Simultaneously, a weighted risk scoring method is designed to effectively assess the degree of concrete defects, ensuring high-precision assessment results. Furthermore, this invention innovatively designs an early warning system that can issue timely warnings when the detected defect degree reaches a certain threshold, avoiding potential safety risks.

The invention belongs to the technical field of hyperspectral remote sensing, and relates to a method for rapidly extracting chlorite minerals by using 02D data of resource I. The method comprises the following steps: step 1, carrying out atmospheric correction and ortho-rectification on the 02D data of the resource I; 2, calculating a single-band mean value image of a first spectral absorption valley of the chlorite altered mineral; 3, calculating a single-band mean value image of a second spectral absorption valley of the chlorite altered mineral; 4, calculating a single-band mean value image of a first spectral reflection peak of the chlorite altered mineral; 5, calculating a single-band mean value image of a second spectral reflection peak of the chlorite altered mineral; 6, calculating chlorite altered mineral single-band images for multiple times by adjusting floating parameters, and storing the chlorite altered mineral single-band images with relatively good extraction effects; and 7, determining a chlorite mineral distribution range by using a density segmentation method, and outputting vector elements. According to the method, the chlorite mineral extraction speed and the chlorite mineral extraction accuracy are improved.

The utility model relates to the technical field of sampling devices, and particularly discloses a portable ore sampling device which comprises a sampling tube, a movable rod is arranged in the sampling tube in a sliding manner, the outer diameter of the movable rod is matched with the inner diameter of the sampling tube, the movable rod is axially connected with a conical insertion tip, and the conical insertion tip is connected with the sampling tube. A strip-shaped hole parallel to the axial direction of the sampling tube is formed in the peripheral surface of the sampling tube, the side part of the movable rod is detachably connected with a holding rod, the holding rod penetrates through the strip-shaped hole, and the positions, at the two ends of the strip-shaped hole, of the peripheral surface of the sampling tube are connected with a front abutting block and a rear abutting block respectively; the holding rod can abut against the front abutting block and the rear abutting block respectively, and the sampling device provided by the utility model is convenient to carry and can be used for rapidly extracting ore particles at a specific depth.

The invention provides a special-shaped bridge frame contour skeleton line extraction method suitable for an offshore converter station electrical specialty. The method comprises the following steps: S1, obtaining a CAD design file of a target electrical specialty; s2, docking CAD analysis service, extracting a bridge layer polyline, and normalizing coordinates by taking the equipment reference point as an original point; s3, preprocessing the line segment primitives to enclose a polygon; s4, filtering the output polygon in the step S3: calculating a difference value between the area of the polygon and the area of the minimum enclosing rectangle of the polygon, and if the difference value is greater than 1% of the area of the minimum enclosing rectangle, determining that the bridge is a special-shaped bridge; and S5, according to the characteristics of consistency and connectivity of the cross section size of the special-shaped bridge in the electrical professional CAD drawing of the offshore converter station, screening associated components connected with the special-shaped bridge, obtaining the cross section width W through the geometrical relationship, and associating the cross section width W to the corresponding special-shaped bridge. According to the invention, the special-shaped bridge and the contour skeleton line thereof can be automatically identified, the geometrical characteristics of the special-shaped bridge can be accurately described, and the digitalization of the special-shaped bridge can be realized in an auxiliary manner.

The utility model belongs to the technical field of light stabilizer detection and sampling, and particularly relates to a light stabilizer detection and sampling tool which comprises a portable component, a sampling component is mounted in the portable component, and a protection component is arranged on the side of the sampling component; the sampling assembly comprises a sampling bottle, the top of the sampling bottle is in threaded connection with a cover, the top of the cover is fixedly connected with an air pipe, the top of the air pipe is fixedly connected with a micro air pump, the side of the air pipe is provided with a threaded fixing clamp, and the side of the threaded fixing clamp is in threaded connection with a nut. A connecting pipe is connected to the interior of the threaded fixing clip in a clamping manner, and a sampling pipe is fixedly connected to the top of the connecting pipe; the problem of cross contamination caused by difficulty in cleaning can be effectively avoided, a communication structure formed by the sampling tube, the connecting tube and the sampling bottle is reasonable in design, so that a sample can smoothly enter the sampling bottle in the extraction process, the risk of sample residue and blockage is reduced, and the sampling accuracy is further ensured.

The application discloses a water sample PH detection sample extraction device, and relates to the field of water sample extraction, which comprises a supporting frame, a extraction mechanism is arranged on the top of the supporting frame, and a collection mechanism is arranged at the bottom of the extraction mechanism; the extraction mechanism comprises a filter box fixedly installed on the top of the supporting frame. The utility model discloses a kind of extraction mechanism, when water sample is extracted, operator does not need to contact water body, prevent the water body to carry pathogenic bacteria, cause harm to operator, and by the rotation of control screw rod, three-ear slide plate can be driven to move up and down, three-ear slide plate drives coarse filter head to move up and down, so that water sample of different depth can be extracted, through the effect of coarse filter head, impurities in water can be blocked, when water is pumped into filter box and contacts filter plate, filter plate filters silt in water, has the effect of quickly extracting sample from water body, improves the safety of operator, and also improves the precision of water sample PH detection.

The utility model relates to the technical field of storage tanks, and discloses a food-grade multifunctional storage tank which comprises a storage tank body, a clamping groove is formed in the inner wall of the storage tank body, a flow dividing assembly is installed in the storage tank body, a sealing cover assembly is connected to the top of the storage tank body in a clamped mode, and the flow dividing assembly comprises a baffle. A sliding block is fixedly connected to the surface of the baffle, a flow dividing barrel is slidably connected to the surface of the sliding block, a sliding groove is formed in the surface of the flow dividing barrel, a lifting handle is fixedly connected to the end, away from the sliding groove, of the flow dividing barrel, a threaded sleeve is fixedly connected to the top of the baffle, and a bolt is in threaded connection with the interior of the threaded sleeve. According to the food storage container, by arranging a matching structure of the flow dividing cylinder, the sliding block and the sliding groove, rapid extraction and resetting of the flow dividing cylinder are achieved, in combination with the detachable design of the sealing plate, it is guaranteed that different kinds of food are stored in a classified mode, independent taking and using are convenient, and the problem that food is mixed or tainted by other odors in a traditional storage container is solved.

The invention provides a determination method for rapid screening of plastic part color masterbatch carcinogenic dyes, and the determination method for rapid screening of plastic part color masterbatch carcinogenic dyes comprises the following steps: crushing a plastic sample, adding the crushed plastic sample into dichloromethane, carrying out swelling and decoloration, and carrying out ultrasonic extraction to obtain a swelling mixed solution; adding methylbenzene into the swelled mixed solution to swell and decolor, and performing ultrasonic extraction and concentration to obtain a concentrated extract; adding the concentrated extract into a methanol precipitator, and separating to obtain a precipitate mixed solution; and eluting the precipitate mixed solution through an activated alumina small column, drying, and re-dissolving in methanol to obtain a to-be-detected solution, and analyzing by using a liquid chromatograph-mass spectrometer. Dye molecules are selectively released through step-by-step swelling of dichloromethane and toluene, so that the extraction effect of the color masterbatch dye in the plastic is improved; through combination of step-by-step solvent synergistic swelling extraction and multi-stage purification, drying of polymer dissolved impurities is avoided, and efficient and accurate extraction and determination of the plastic color masterbatch dye are realized.

This invention discloses an automatic modulation identification method for multimodal fusion wireless signals based on deep learning, belonging to the field of communication technology. First, a publicly available dataset is selected as the channel input data and merged according to modulation type to form a set of time-domain I / Q data. Then, a constellation diagram is created for each set of time-domain I / Q data, and the data and corresponding constellation diagrams are segmented according to the signal-to-noise ratio to form a training set. Next, a multimodal fusion neural network model based on the time-domain I / Q data and constellation diagram data is constructed and input into the training set for iteration, adjusting the learning rate until the network model reaches stability. Finally, a newly acquired radio signal to be identified is input into the trained multimodal fusion neural network model, which automatically outputs the modulation identification type of the wireless signal. This invention can more fully extract the fusion features of the signal in the time domain and the corresponding constellation diagram to optimize the information loss caused by downsampling, thereby obtaining more accurate signal phase and amplitude information.

This invention relates to the field of intelligent driving technology, and provides a method, system, and computer for generating virtual fatigue driving samples. The method includes: assigning several facial key point labels and several posture angle labels to training images; training a key recognition model based on a facial recognition algorithm; constructing several 3D mesh head models based on several facial features; acquiring several experimental fatigue images and inputting them into the key recognition model to obtain a set of fatigue key point coordinates and a set of posture angles; forming several fatigue 3D mesh head models using radial basis function interpolation; generating several virtual fatigue images based on the several fatigue 3D mesh head models, and then generating several virtual fatigue videos based on the several virtual fatigue images. This method generates a large number of virtual fatigue videos with good individual differences, which is beneficial for accurately and comprehensively testing the accuracy of fatigue driving detection products.

The invention discloses an urban inland river turbid water body extraction method based on a Landsat-8 image. The method comprises the following steps: acquiring an earth surface reflection characteristic value image of a ground feature after atmospheric influence is removed; respectively collecting samples of typical ground features and turbid water in the Landsat-8 image, and fitting a reflection spectrum curve of the ground features; a plurality of expressions are constructed to enhance signals of a turbid water body in an image and weaken signals of other ground objects in the image, and finally, the plurality of expressions are integrated to construct a new spectral index TWI; the method comprises the following steps: carrying out statistics on a turbid water body sample of a fitting spectrum curve in a TWI image to obtain an initial threshold value for extracting the turbid water body, combining visual observation and adjusting the threshold value to finally obtain an optimal threshold value capable of effectively detecting and extracting the turbid water body, extracting the turbid water body by utilizing the optimal threshold value, and detecting the turbid water body in the Landsat-8 image. The detection method provided by the invention is simple and convenient, can well detect the turbid water body information of the urban inland river in the image, and has a good application prospect.

This utility model discloses a bottom-module flip-up coffee filter device, specifically relating to the field of coffee filtration. It includes a filter cup with a slot inside, and a support plate within the slot. The support plate is composed of twelve sets of ribs, each set divided into upper and lower sections. The upper section of the ribs has a 145° angle, and the lower section has a 165° angle. This utility model allows for flexible switching between two modes: the bottom of the filter cup can be flipped over. When used on the front, the rib surface is a 145° angle, allowing coffee grounds to naturally adhere to the bottom. When flipped over, the reverse side has a 165° angle, creating a near-flat coffee bed structure. Ingenious water flow control: when the 145° angle is at the top, the steep angle of the ribs allows hot water to diffuse more concentratedly from the center outwards, increasing turbulence and accelerating extraction. In flat mode, the water distribution is more even, suitable for more stable brewing.

The invention discloses a gas classification method and device based on a multi-scale gradient spiking neural network, and the method comprises an array attention fusion module which adaptively adjusts the weight of each array branch according to the correlation between a feature map extracted by each sensor array and a specific classification task, and carries out the self-adaptive adjustment of the weight of each array branch according to the correlation between a feature map extracted by each sensor array and a specific classification task; it is ensured that the array features with the highest discriminability are fully concerned; the heterogeneous fusion coding module focuses on information interaction between microcosmic neuron dynamics and an issuing mode of the microcosmic neuron dynamics and captures fine-grained local pulse time sequence characteristics; and the multi-scale gradient sensing module can adaptively search an optimal combination of convolution features of different time scales, so that more comprehensive and deeper sawtooth waveform feature extraction is carried out, and complementarity among multi-band signals is fully utilized. Finally, the spiking neural network can deeply explore and fully utilize the correlation between microscopic coding and macroscopic waveform to extract deeper spatial-temporal features, and the model performance is further improved.

The utility model relates to medical liquid preparation technical field, concretely relates to a liquid medicine mixing device, including mixing bin, the top of mixing bin is equipped with feed inlet, the top of mixing bin is installed the sealing plate for the plugging feed inlet, the top fixed mounting of mixing bin has accurate liquid control subassembly, and the side wall fixed connection of mixing bin has the discharge head. The utility model discloses the design of integrated mixing bin, and the mixing of medicine powder and solvent is completed in the closed environment, and medical staff only needs to extract liquid medicine through the needle in the final step, effectively avoids the accidental puncture risk caused by the frequent replacement of needle in traditional operation, and simultaneously reduces the possibility of liquid medicine exposure pollution.

The present application relates to the field of data processing, specifically to an aviation bus data processing method based on time pyramid, which comprises the following steps: S1, cleaning and checking the data; S2, dividing the complex table structure according to columns; S3, constructing data combination of time column and data column; S4, constructing the bottom layer basic tile data of time pyramid data; S5, extracting the basic data to be processed in the form of frequency reduction by half each time to form multi-level frequency-decreasing extracted data, and the data forms multi-level LOD data; S6, processing the data in each level of LOD data according to the time block processing method of each level of tile construction; S7, serializing the tile data to the database to form hierarchical tile pyramid data. The present application realizes the tile segmentation of the aircraft bus data, and then processes the huge and complex bus data tiles, which can achieve the purpose of on-demand calling and on-demand taking in use.

The invention provides an infrared small target rapid detection method based on a three-layer gradient kernel and related equipment thereof, and the method comprises the steps: obtaining an input infrared image, and carrying out the preprocessing of the input infrared image, and obtaining a target input infrared image; constructing a layered gradient kernel based on the target size of a preset small target; based on the hierarchical gradient kernel, performing convolution processing on the target input infrared image to generate a gradient map; determining an adaptive threshold based on the gradient map; performing binarization processing on the gradient map based on the adaptive threshold to obtain a plurality of candidate target areas; and carrying out aggregation processing on the plurality of candidate target areas to obtain an aggregation result, and outputting an infrared small target detection set according to the aggregation result. Through the steps of the method, rapid extraction and stable positioning of the infrared small target can be realized under the conditions of complex background and low signal-to-noise ratio, false detection is reduced, and the real-time detection capability is improved.

This invention discloses a remote sensing method for extracting forest information in power transmission and transformation engineering construction areas, belonging to the field of forest information remote sensing extraction technology. The method includes selecting high-resolution satellite remote sensing images of the main autumn crops harvested in the task area based on the phenological characteristics of the task area; segmenting the images to generate image object layers; calculating the normalized vegetation index (NVI); determining three thresholds: NVI, brightness, and gray-level co-occurrence matrix contrast; and classifying the image objects according to these thresholds to obtain forest information. This invention uses high-resolution remote sensing images and extracts forest information based on forest characteristics. It has the advantages of simple principle, strong applicability, high accuracy, and streamlined technical process, and can be applied to large-scale forest information extraction.

The invention belongs to the technical field of medicines, and particularly relates to a ceftriaxone sodium powder injection and a preparation method thereof. According to the invention, the water-soluble vitamin E and the L-cysteine are used for synergistically exerting anti-oxidation and anti-agglomeration effects, so that the agglomeration phenomenon in the polymer generation and crystallization process is effectively inhibited; chitosan modified mesoporous silica is adopted as a drug carrier, and drugs are promoted to orderly enter mesoporous channels through positive charge mediation, so that efficient loading of the drugs is realized, and biocompatibility is improved; by utilizing a supercritical anti-solvent crystallization technology, the drug is crystallized in situ in a mesoporous channel to form a highly dispersed state, and the specific surface area of the drug is obviously increased, so that the ultra-fast dissolution is realized; the ceftriaxone sodium powder injection prepared by the invention has the excellent characteristics of high dissolution speed, uniform particle size, no agglomeration, good stability, high safety and high drug loading efficiency.