15results about How to "Fast extraction" patented technology

The invention relates to the technical field of water environment monitoring equipment, and discloses an ecological wetland water environment monitoring device and a use method thereof.The ecological wetland water environment monitoring device comprises an equipment shell, and the side wall of the equipment shell is fixedly connected with a plurality of driving frames. According to the water sampling device disclosed by the invention, an electric telescopic rod drives a pushing telescopic rod at one end of a driving frame to downwards drive a water inlet piston to downwards slide along a sampling barrel, and the water inlet piston downwards slides to empty water in the sampling barrel; water at the depth is quickly sucked into the sampling barrels by negative pressure generated in the collecting barrels, so that the water sample extraction speed of the device can be increased, and the device can collect water samples at different depths by arranging a plurality of sampling barrels with different lengths; when a water sample is collected into the sampling barrel, the electric telescopic rod lifts the pushing telescopic rod on the driving frame upwards, and the pushing telescopic rod drives the water inlet piston to lift the water sample in the sampling barrel into the collecting barrel.

The invention relates to the technical field of traditional Chinese medicinal material processing, in particular to a traditional Chinese medicinal material crushing and alcohol extraction integrated device. The device comprises a base and an extraction tank fixed at the top of the base. Through the structural design of the extraction tank, the pretreatment mechanism and the grinding mechanism, the device realizes organic combination of crushing and alcohol extraction in the processing process of traditional Chinese medicinal materials, can ensure that the traditional Chinese medicinal materials can be fully crushed and the cell walls of the medicinal materials are effectively damaged, so that the effective components in the traditional Chinese medicinal materials are released to the greatest extent, and the extraction efficiency is improved; through the structural design of the uniform mixing mechanism, the device is matched with vibration generated by an ultrasonic transducer to enable a solvent to continuously flow, so that the solvent can continuously make contact with the traditional Chinese medicinal materials, cell walls can be broken under the cavitation action of ultrasonic waves, and the yield and quality of the traditional Chinese medicinal materials are improved; active ingredients in cells can be more easily released into the solvent, so that the extraction speed is accelerated.

The present invention belongs to the technical field of synchronous positioning and map creation, and discloses a visual odometer method based on illumination suppression, comprising the following steps: step S1, collecting image information, and using a neural network fused with highlight attention to extract feature information from the image information and suppress highlight areas; step S2, using a feature extraction network to extract feature points and feature maps that are robust to illumination changes; step S3, using a feature extraction algorithm based on average grayscale value to supplement feature points in sparse scenes; step S4, using a multi-layer optical flow tracking algorithm to track feature points, and calculating poses based on tracked feature points. The present invention can maintain a certain degree of dynamic response capability, thereby enhancing the network's processing capability for illuminated scene images and improving the tracking stability of the SLAM system in illuminated scenes.

The invention discloses a power network communication data encryption method and system, and the method comprises the steps: obtaining power network communication data which comprises all shared communication data of all power system information terminal equipment clusters; according to the method, abnormal value deletion and missing value filling are carried out on acquired power network communication data, power data are segmented and keyword extraction is carried out at the same time, the extracted keywords form a set, a risk matching model is preset in a power system, and the risk matching model is used for matching the risk of the power network communication data. The keyword set is input into the risk matching model to obtain the matching value, the data with the lower matching value is encrypted at a low level, and the data with the lower matching value is not sensitive data of the power enterprise and cannot bring risks to the enterprise even if being stolen, so that the data with the higher matching value is encrypted at a high level by adopting a mode of only disorganizing the data, and the data with the higher matching value is encrypted at a high level; the high-level encryption in the invention is a dual encryption mode, so that lawbreakers are difficult to steal.

The invention relates to the technical field of chemical separation, and particularly discloses an extraction tower which comprises an extraction tower body, a plurality of sieve plates are horizontally mounted on the inner wall of the extraction tower body; a light liquid outlet, a heavy liquid inlet, a light liquid inlet and a heavy liquid outlet are sequentially formed in the outer wall of the extraction tower body from top to bottom; the light liquid outlet and the heavy liquid inlet are positioned at the tops of the sieve plates; the light liquid inlets and the heavy liquid outlets are positioned at the bottoms of the sieve plates; a vibration mechanism capable of driving the plurality of sieve plates to vibrate is arranged in the extraction tower body; the sieve plate is driven to vibrate through the vibrating mechanism, so that the effect of vibrating and mixing two-phase liquid above the sieve plate is achieved, the dispersing and mixing effect of the two-phase liquid is improved, and the extraction speed is increased.

The application discloses a writing content extraction method, device and equipment and a storage medium. The method comprises the following steps: acquiring an image of a writing medium; performing a grayscale processing on the image of the writing medium to obtain a writing content image; using a statistical method to perform an adaptive threshold binaryzation on the writing content image to obtain a mask image of background and writing content binaryzation; extracting writing content in the image of the writing medium according to the mask image and outputting a result image containing only the writing content; and obtaining a binaryzation threshold of a target region based on a grayscale value clustering of the target region. The application optimizes the process of writing extraction for the scene of a blackboard or a whiteboard, reduces the probability of writing false detection or omission, improves the precision of writing content extraction, and quickly obtains a binaryzation threshold grayscale, thereby improving the speed of writing extraction.

The utility model belongs to the technical field of traditional Chinese medicine extraction equipment, and provides a three-dimensional steam distribution extraction tank for traditional Chinese medicine extraction, which is mainly composed of an extraction tank body, an inner-layer tank body and a unique steam conveying structure, and the steam conveying structure comprises a steam generator, a multi-layer multi-way valve, a micro pump and a surrounding steam nozzle. Three-dimensional uniform distribution of steam can be achieved, materials can be heated in all directions, the extraction efficiency and the effective component extraction rate are greatly improved, the inner-layer tank body is matched with the outer-layer jacket to achieve heat preservation in the heating process, an internal stirring structure promotes the materials and steam to be fully mixed, in addition, the equipment is provided with a steam monitoring instrument and a control device, accurate regulation and control are convenient, and the equipment is suitable for popularization and application. And a pressure release valve is arranged to guarantee safety. The extraction tank is simple to operate, convenient to maintain and suitable for extracting various traditional Chinese medicines.

The application discloses a dynamic redundancy robust digital blind watermarking method and system, and relates to the technical field of image data processing. The method embeds watermark information into pixel data (robust channel) and metadata (fast channel) of a carrier image simultaneously through a double embedding strategy. When the watermark is extracted from the carrier image subjected to geometric attacks, the system firstly attempts to extract from the metadata; if the fast extraction fails, the system automatically switches to the pixel domain for robust extraction. The method comprises the following steps: optimizing and packaging the data to be embedded; embedding the packaged data stream into the pixel and writing the compressed watermark data into the metadata; and adopting the aforementioned double-channel extraction strategy for extraction. The design effectively avoids the defects of simply relying on spatial synchronization, and significantly improves the extraction performance and reliability of the watermark system under geometric attacks.

The application relates to a multi-frequency time-varying mixed signal amplitude and phase extraction method based on an RLS algorithm. For a ground-to-space frequency domain detection signal with time-varying amplitude and phase, the method inputs a collected signal into a double channel, respectively adopts a sine reference signal and a cosine reference signal, separates frequency components of the signal through an RLS algorithm, and can simultaneously extract time-varying amplitudes and phases of all frequency components. The application can be applied to the field of non-stationary signal processing, can accurately extract time-domain waveforms of amplitudes and phases of frequency signals, and provides data support for model inversion.

The utility model discloses a seaweed extracting and stirring device with a soaking structure, which comprises a box body, an arc-shaped seat is fixedly connected in the box body, a driving motor is fixedly mounted at the center end of the bottom of the arc-shaped seat, the output end of the driving motor penetrates through the arc-shaped seat to be in transmission connection with a rotating rod, and the top of the rotating rod is fixedly connected with a mounting seat. According to the seaweed extracting and stirring device with the soaking structure, a squeezing plate is stretched through the electric telescopic rod, so that a brush on the periphery of the squeezing plate is tightly attached to the inner wall of the centrifugal cylinder, the centrifugal cylinder is arranged at the top of the centrifugal cylinder, and the soaking structure is formed. The seaweed at the lower end of the extrusion plate is subjected to reciprocating filter pressing, so that the seaweed can be fully extruded, the extraction efficiency is effectively improved, the extraction time is greatly shortened, and in the rotating process of the centrifugal barrel, the extrusion plate cleans the inner wall of the centrifugal barrel to prevent blockage from affecting the seaweed extraction efficiency.

The invention provides a building construction carbon emission calculation parameter extraction method and equipment based on a large model, and the method comprises the steps: carrying out the extraction of building carbon emission calculation basis information in a building carbon emission calculation basis file through employing a large model technology; comprising building material production information, building material construction information, building material transportation information and carbon emission factors, unit standardization processing is carried out on the information data through data standardization, building carbon emission calculation data with a regular structure and a unified unit is output, and a basis is provided for further building construction carbon emission calculation. According to the method, the carbon emission calculation parameters in the related files can be identified and intelligently arranged into structured calculation parameter data, and the carbon emission calculation efficiency is improved.

The invention discloses a method and device for extracting three-dimensional stray capacitance parameters of a periodic structure and a storage medium, and the method comprises the steps: extracting one or more periodic layout data from an integrated circuit layout, and recording periodic boundary information when the layout data is extracted, the integrated circuit layout is provided with a plurality of conductors and / or media, and the conductors and / or media are connected with the periodic layout data; the plurality of conductors and / or media are periodically distributed along one direction or multiple directions, and the periodic layout data comprises conductor description information and / or medium description information; based on the extracted conductor description information and / or medium description information, constructing a calculation model of a three-dimensional geometric structure corresponding to a single conductor and / or a single medium, and based on the recorded periodic boundary information, generating a periodic boundary condition corresponding to the calculation model; and based on the calculation model of the three-dimensional geometric structure, according to the periodic boundary condition, a three-dimensional field solver for the periodic structure optimization solving process is used to calculate and obtain the total capacitance of each conductor and the coupling capacitance between the conductors.

The invention discloses a gold thread segmentation detection method and system in chip AOI detection, electronic equipment and a computer readable medium, and the method comprises the following steps: obtaining a chip image; performing welding spot positioning on the chip image to obtain a first welding spot coordinate and a second welding spot coordinate of a gold wire; calculating the length L and the inclination angle of the gold thread according to the coordinates of the first welding spot and the second welding spot; the gold wire is divided into a plurality of sections, each section corresponds to a detection area, the detection area is formed by connecting indented end points, and the indented end points are obtained through calculation according to coordinates of a first welding spot and a second welding spot, a preset indentation proportion, the length and the angle; for each section of gold thread, performing threshold segmentation by using the gray threshold corresponding to the section, and extracting the region of the section of gold thread; and judging whether the gold thread areas are communicated or not and whether the whole gold thread is communicated or not so as to determine whether the gold thread has defects or not. According to the invention, the gold thread detection algorithm complexity and cost are reduced.

The application discloses a ussurian wavy extract, which is prepared by the following method steps: taking dried whole plant of ussurian wavy, weighing; adding 85% ethanol with a ratio of 1g:10mL, and soaking for 24h; heating and ultrasonic extracting at constant temperature of 70-90 DEG C, extracting for 3h for 3 times, filtering while hot, discarding the filter residue, and combining the filtrate; reducing pressure and concentrating the filtrate to extract, and drying in an oven; taking the dried extract, and obtaining the ussurian wavy extract. The application further discloses a preparation method and application of the ussurian wavy extract. The application has the advantages of simple process, fast extraction speed, high extraction rate, strong activity and the like, and has good extraction effect. The ussurian wavy extract has the effect of resisting septicemia, and can be used for preparing anti-septicemia drugs and the like.

The invention relates to the field of image classification, in particular to a few-sample image classification method based on CGAN-MAML-ResNet, and the method comprises the steps: obtaining an original image, constructing and training a CGAN model, and generating a sample image through the trained CGAN model; dividing a data set formed by the sample image and the original image into a training set and a test set, and constructing a plurality of classification meta-tasks; inputting the training set into the ResNet18 model for training to obtain feature parameters of each layer of the ResNet18 model after training is finished; an improved ResNet18 model is constructed and optimized, and optimal parameters of the model are obtained; and training the target classification task according to the optimal parameter to obtain a classification result. The method has the advantages of high accuracy and strong generalization ability.