191results about How to "Quick extraction" patented technology

The invention provides a method for dynamically constructing a coal mine geology digital twinborn body based on multi-source heterogeneous information. Comprising the steps of AIGC-assisted geological result reading, end-to-end structured information self-adaptive generation, primary geologic body model construction through a generalized triangular prism algorithm, geometric smooth subdivision based on Kriging interpolation, special geological element dynamic updating and coal mine digital twinborn matrix generation. According to the method, the AIGC is introduced to assist in reading the geological result innovatively from the remarkable characteristics of the data intensive normal form of the geological information, and intelligent generation of structured information matched with an automatic modeling updating algorithm is realized through big data assimilation of multi-source heterogeneous information; a quick response process of information processing, primary geologic body generation, geometric smoothing, abnormal geologic body encryption and global geologic body construction is formed, and a high-precision coal mine geologic digital model is dynamically constructed by utilizing geologic information of different geologic survey stages. And the requirements of high precision, renewability and automation of the coal mine digital twinborn body are met.

The utility model relates to an automatic sorting device for lens disassembly, which relates to the technical field of lens disassembly and comprises a storage bin used for storing lenses to be disassembled and a feeding and discharging Y shaft arranged on one side of the storage bin and used for moving the lenses in a tray out to a working area. The jacking and clamping double-station assembly comprises a clamping head for clamping a to-be-disassembled lens, a lead screw motor for ejecting out to-be-sorted components in the lens in the direction below the clamping head, a component pre-pressing plate piece for pre-pressing the products to prevent the products from scattering and inclining, and a pre-pressing mechanism switching shaft for adjusting the position of a pre-pressing mechanism. An inverted U-shaped support plate is arranged on the top surface of the free end of the component pre-pressing plate piece, the inner wall of the U-shaped support plate is connected with a vacuum chuck tailstock through a lifting component, the bottom surface of the vacuum chuck tailstock is connected with a vacuum chuck piece through a pipeline longitudinally penetrating through the component pre-pressing plate piece, and the vacuum chuck piece adsorbs a component in a lens in a product.

The invention discloses a control method and a control system of an ultrasonic therapeutic apparatus and the ultrasonic therapeutic apparatus, and the method comprises the following steps: S1, transmitting ultrasonic waves to skins at a plurality of target positions one by one for sampling, and receiving an ultrasonic echo signal of each target position, the plurality of target positions are obtained by a transducer of the ultrasonic therapeutic apparatus moving along a skin surface area directly facing the end face of a probe of the ultrasonic therapeutic apparatus; s2, converting the received ultrasonic echo signal into an ultrasonic image; s3, skin features of each target position in the ultrasonic image are extracted, the distance between the skin of each target position and the end face of the probe is calculated, the calculated maximum distance is compared with a target threshold value, and if the maximum distance is smaller than or equal to the target threshold value, it is judged that the end face of the probe is effectively attached to the surface of the skin; otherwise, judging that the end face of the probe is not effectively attached to the skin surface. Positioning is carried out through ultrasonic imaging, it is ensured that operation is carried out in the state that the end face of the probe is effectively attached to the skin surface area, and the using effect and safety are ensured.

The invention discloses a fault detection method and system for a coal conveying programmed control system of a thermoelectric company, and relates to the technical field of coal mine fully-mechanized mining, and the method comprises the steps: building a fault intelligent diagnosis model based on historical fault data; collecting field data in real time, and judging whether a fault occurs or not through the fault intelligent diagnosis model; and executing a corresponding strategy according to the type and degree of the fault. According to the method, multi-dimensional feature analysis is carried out according to multiple groups of sensors, comprehensive analysis of coal level height data is realized by extracting basic features, statistical features, time domain features, frequency domain features and other features, and the accuracy of fault detection is remarkably improved. The deep learning network is utilized to train and classify the feature data, so that the fault types of blockage, coal interruption and the like can be identified more accurately, and misinformation and missing report are reduced. The coal level height data is collected in real time, features are rapidly extracted, and the running state of the coal drop pipe is monitored in real time.

The invention provides an effective signal filtering and noise reduction method and system for a micro-seismic event of a tunnel water and mud inrush disaster, and relates to the technical field of signal processing. Comprising the following steps: acquiring original signals of water-inrush and mud-inrush micro-seismic events; performing modal decomposition on the original signal by using a variational modal decomposition method to obtain a plurality of modal components; calculating a cross correlation coefficient between the original signal and each modal component; based on the center frequency of each modal component and in combination with the cross correlation coefficient, performing primary noise reduction on the plurality of modal components; performing de-trend fluctuation analysis on the modal components after the primary noise reduction screening to obtain scale indexes of the modal components after the primary noise reduction screening, and performing secondary noise reduction based on the scale indexes; and reconstructing the modal component after the secondary noise reduction screening to obtain a micro-seismic signal after noise reduction filtering. According to the method, the problem that noise and effective signals in part of modal components are mixed is solved, and the weak signal extraction capacity is improved.

The invention relates to a crude oil pipeline flow characteristic mining method and system, processing equipment and a storage medium, and the method is characterized in that the method comprises the steps: building a candidate set of a pipeline transportation crude oil flow characteristic representation model of a to-be-tested crude oil pipeline based on a pre-built basic symbol library in combination with a large language model and a symbol regression method; and based on a scoring standard for characterizing the quality of the model, scoring the candidate set of the pipeline transportation crude oil flow characteristic characterization model, and based on a scoring result, optimizing and iterating the structure of the pipeline transportation crude oil flow characteristic characterization model to obtain an optimal pipeline transportation crude oil flow characteristic characterization model of the crude oil pipeline to be tested. According to the method, the flow characteristic model can be rapidly and accurately extracted, the time and cost of experimental data and model construction are greatly reduced, and the method can be widely applied to the field of crude oil pipeline flow characteristic analysis.

The invention provides a shale alternating load and multi-field coupling simulation analysis platform and method, and belongs to the technical field of shale alternating load and multi-field coupling simulation analysis. The shale alternating load and multi-field coupling simulation analysis platform comprises a data acquisition module, a real-time monitoring module, a main control module, an alternating load simulation module, a multi-field coupling simulation module, a data analysis processing module, a cloud storage module and a display module. According to the shale alternating load and multi-field coupling simulation analysis method, a multi-field coupling simulation module, a real-time monitoring module, a data analysis processing module and the like are integrated, and the behavior of shale under the complex geological conditions and the alternating load effect can be more comprehensively analyzed. According to the invention, the maximum stress distribution, strain accumulation and fatigue life of shale under periodic bending alternating load can be accurately predicted through the alternating load simulation module; various shale data analysis methods and algorithms are integrated through the data analysis processing module, and efficient processing of experimental shale data is achieved.

The invention discloses a digital audio watermark processing method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: receiving a watermark adding instruction, and carrying out Fourier transform on original host voice to obtain an audio signal; identifying a watermark information adding bit in the audio signal through the audio watermark model, and embedding a watermark message in the watermark information adding bit; the interfering audio signal and the audio signal carrying the watermark message are combined. Receiving the message extraction signal, and separating an interference audio signal in the combined audio signal; a watermark information adding bit in the audio signal is identified, and a watermark message is extracted from the watermark information adding bit. The invention also relates to the technical field of block chains, and the host voice is stored on a block chain network. According to the method, the watermark information adding position is automatically identified through the audio watermark model, so that the watermark information is added and extracted, the dependence on expert knowledge is remarkably reduced, and the watermark processing speed and efficiency are improved.

The invention relates to a cell differentiation trajectory inference method based on deep hyperbolic manifold embedding. The method comprises the following steps: acquiring single-cell RNA sequencing data; introducing hyperbolic space embedding with negative curvature, performing feature extraction on the single-cell RNA sequencing data through a deep feature extraction network, and mapping extracted high-dimensional features to a low-dimensional hyperbolic space; through track inference in a low-dimensional hyperbolic space, transformation paths of cells from progenitor cells to various differentiation end cell types are constructed, and key genes and pathways are evaluated by utilizing a sensitivity analysis method. The method has the beneficial effects that by introducing hyperbolic space embedding with negative curvature, the model can better capture the hierarchical structure of data, and the accuracy and consistency of differentiation tracks are enhanced. Moreover, high-dimensional single-cell sequencing data can be processed, the limitation of a traditional method under the high-dimensional condition is overcome, and the applicability of the model is improved.

The invention discloses a personnel emergency evacuation method and system based on an improved vector vector diagram, and belongs to the technical field of emergency simulation, and the method comprises the steps: carrying out the initialization of an evacuation environment, including the initialization of static environment space elements and the initialization of evacuation crowd individual positions; establishing a visual field containing a plurality of sensing points according to individual positions and speed directions of the evacuated crowd; and for each individual in the evacuated crowd, individual movement is carried out based on the established visual field and through continuous perception of the static environment and interaction among the individuals in the crowd, and crowd evacuation is completed. According to the method and the system, the information exchange among the groups and the perception-feedback process of the crowd to the environment are fully considered in the evacuation simulation process, and the authenticity of the simulation process is improved.

The invention discloses a knowledge graph ontology constrained vegetation remote sensing classification method. The method comprises the steps of data acquisition and data preprocessing, deep learning model selection and fusion of a knowledge graph ontology and a deep learning model. According to the method, the knowledge graph ontology and the FCN8s-ResNet 50 model are fused in the two stages of model training and classification post-processing. The result shows that 1) the classification accuracy of the deep learning model can be remarkably improved by fusing the mountain vegetation knowledge graph ontology in the two stages of deep learning model training and classification post-processing: the accuracy of the deep learning model constrained by the knowledge graph ontology is improved by 10%, and the overall classification accuracy of vegetation types reaches 89.2%; and 2) the deep learning model constrained by the mountain vegetation mapping knowledge domain ontology not only obtains excellent results in fine classification of vegetation types, but also improves the universality and interpretability of the model, so that powerful support is provided for wide-range remote sensing vegetation classification and application of the deep learning model.

The invention discloses an image reconstruction algorithm, an image processing method and device, a vehicle and a storage medium. The image processing method comprises the steps of obtaining a visible light image and an auxiliary modal image to be fused; and performing fusion reconstruction on the visible light image and the auxiliary modal image by using an image reconstruction algorithm to obtain a target image, the image reconstruction algorithm comprising a step of completing a feature extraction task of the associated visible light image by using a high-frequency attention mechanism and a Fourier convolution mechanism in the high-frequency attention block. Therefore, the high-frequency information in the visible light image with various image qualities can be rapidly and effectively extracted through the image reconstruction algorithm, so that the target image is obtained by fusing and reconstructing the visible light image and the auxiliary modal image based on the effectively extracted high-frequency information; and features in a visible light image and features in an auxiliary modal image are clearer. Therefore, it can be ensured that images with high quality can be obtained when shooting is carried out in various shooting environments.

The invention provides an annotation data generation method and system based on a large language model, and the method comprises the steps: S1, obtaining a structured text of a representative contract of the same category, and generating a corresponding information extraction template based on the obtained structured text of the representative contract; s2, generating annotation data in batches based on the information extraction template and all contract texts in the same category; s3, summarizing different types of annotation data and corresponding contract texts, generating an annotation data set, and performing fine adjustment on the large language model by utilizing the annotation data set to obtain a fine-adjusted large language model; and S4, marking the contract text based on the fine-tuned large language model.

The invention belongs to the technical field of microscopic image panoramic stitching, and provides an image stitching technology for a digital microscopic scanning system. Comprising the steps of panoramic focal length strategy setting, mobile shooting, label processing, local feature point extraction, single image matrix determination, overall splicing and non-blank overlapping region splicing, sliding feature fine alignment path deviation data calculation, panoramic focal length strategy adjustment and gap fusion processing. According to the method, the ResNet-18 model is used for performing high-density region judgment, so that the feature point detection efficiency is improved; through a linear gradual change technology and a recursive algorithm, the splicing problem of non-blank overlapping areas is solved, and the quality of the spliced image is improved; weighted average fusion is carried out through a Gaussian function, the problems of brightness difference, color non-uniformity, edge blurring and the like of a splicing area are solved, and the visual effect of the image is improved. By judging the position deviation function, the objective table is adjusted in real time, the operation process is simplified, and the cooperative efficiency of scanning and splicing is improved.

The invention discloses an intelligent visual rating device and method for fabric appearance flatness. The method comprises the following steps: S1, acquiring a fabric image; s2, preprocessing the fabric image; s3, camera calibration and image correction; s4, feature extraction and matching; s5, stereo matching and depth estimation; s6, performing three-dimensional reconstruction; s7, grading the appearance flatness of the fabric; the objective rating method for automatically processing the fabric depth image difference is constructed on the basis of quickly reconstructing the fabric appearance form based on a machine vision technology, so that the fabric flatness detection efficiency and accuracy are improved, and a more reliable and objective basis is provided for fabric quality evaluation.

The invention provides a complex industrial contract information extraction method and system based on a large language model, and the method comprises the steps: S1, carrying out the clustering analysis of different obtained industrial contract texts, and determining a cluster where each contract text is located; s2, stratified sampling is carried out on each cluster, and representative samples are obtained; s3, carrying out key content extraction meeting a preset requirement on the representative sample corresponding to each cluster; obtaining a corresponding structured text based on the extracted key content meeting the preset requirement; s4, labeling the structured text to obtain labeled data; step S5, acquiring annotation data of all clusters to generate an annotation data set, and performing fine tuning on the large language model by using the annotation data set to obtain a fine-tuned large language model; and S6, deploying the fine-tuned large language model into a production environment, and extracting key information, meeting a preset requirement, of the unlabeled contract text.

The invention belongs to the technical field of computers and information science, and relates to a power network asset key feature extraction method and device, equipment and a medium. According to the method, an improved k-means clustering algorithm is adopted to perform clustering analysis on power network asset data to obtain key features of power network assets; wherein the k-means clustering algorithm is improved in that in the clustering process, the mahalanobis distance between each data point and each clustering center is calculated, and the data points are distributed to the clustering center with the shortest distance; updating a clustering center based on dynamic weight updating and an adaptive learning rate; performing feature weighted summation and nonlinear transformation processing on the key features obtained by clustering by using an attention mechanism to obtain an optimized feature vector matrix; and powerful support is provided for subsequent asset management, fault diagnosis and predictive maintenance.

The present invention provides a method, device, electronic device and storage medium for extracting water from remote sensing images. The method comprises: constructing an expression of a water index based on the reflectance spectral characteristics of objects in a region to be studied; acquiring a reflectance remote sensing image of the region to be studied, and determining a remote sensing water index map based on the reflectance remote sensing image and the expression of the water index; extracting a water region in the remote sensing water index map based on the remote sensing water index map and the reflectance remote sensing image. The method, device, electronic device and storage medium for extracting water from remote sensing images provided by the present invention construct an expression of a water index based on the reflectance spectral characteristics of objects in a region to be studied, which can not only improve the accuracy of water extraction from remote sensing images, but also realize simple and quick water extraction from remote sensing images.

The invention discloses a decentralized application-oriented smart contract program generation method, device and equipment and a storage medium, and belongs to the field of block chain smart contracts, and the method comprises the steps of persisting an executable code and state data of a fragmented smart contract in block data; in response to a calling instruction for the fragmented smart contract, extracting the executable code and the state data persisted in the block data to execute the fragmented smart contract, and updating the state data persisted in the block data according to execution of the fragmented smart contract; and in response to a reconstruction instruction for the fragment smart contract in execution, extracting persistent executable codes and state data from the block data, and reconstructing the fragment smart contract in execution through the extracted executable codes and state data. The problems of complex cross-fragment calling, low execution speed and difficult fault recovery of the smart contract are solved, and the performance and stability of the block chain system in decentralized application processing are improved.

The invention belongs to the technical field of artificial intelligence and data mining, and particularly discloses an engineering safety design document visual review model training method, which comprises the following steps of: marking entities and relationships in various engineering safety design documents, and constructing a scheme global template consisting of triples of a first entity, a relationship and a second entity; training a self-encoding language model by utilizing the scheme global template to obtain a span semantic vector; and training the recurrent neural network model by using the span semantic vector and the scheme global template to complete the training of the engineering safety design document visualization review model. According to the method, not only can the surface content of the document be examined, but also potential safety risks and problems in the document can be found, and the examination comprehensiveness, accuracy and efficiency are greatly improved.

The invention discloses a phase-locked loop suitable for amplitude-frequency modulation signal measurement and a working method thereof, and the phase-locked loop comprises a delay phase correction module which is used for carrying out the delay phase correction of a three-phase voltage signal to obtain a correction value; the FFT measurement module is used for performing FFT measurement on the correction value to obtain oscillation frequency; and the fundamental wave frequency measurement module is used for averaging the oscillation frequency and the angular frequency tracked by the phase-locked loop to obtain a fundamental wave frequency measurement value. According to the invention, an improved measurement loop is added on an existing conventional phase-locked loop to measure an amplitude-frequency modulation signal, so that the phase-locked loop can track an alternating current signal phase modulated by actual amplitude and frequency without error. The amplitude and frequency of the amplitude-frequency modulation signal can be rapidly extracted under the rotating coordinate system, the accuracy of the amplitude-frequency modulation signal measurement method based on the phase-locked loop is guaranteed, and rapid analysis and suppression of oscillation are achieved in engineering.

The invention relates to a laser active imaging noise processing method, and belongs to the technical field of image processing and denoising. The single-photon denoising imaging processing method provided by the invention is designed based on the imaging characteristics of the single-photon array detector, the time characteristics of the echo data and the spatial correlation, and has a relatively good inhibition effect on background noise; the accurate target scene echo distance image and intensity image can be rapidly and accurately extracted from single-photon detection original data, and the method is extremely important for active imaging application of high-sensitivity single-photon array laser imaging.

The invention relates to a webpage content extraction method based on rule and statistical feature combination, which comprises the following steps of: converting a webpage html source code into a dom tree, reserving tree nodes which are identified as a text area, cutting tree nodes which are identified as a noise area, and performing copy storage on the dom tree of which the noise area is removed; and based on a combined switching mode of rule extraction and statistical feature extraction, extracting content from the stored dom tree copy. Compared with the prior art, the quality and efficiency of webpage content extraction can be improved, the accuracy and comprehensiveness of the extracted content are enhanced, and the webpage data extraction processing speed is increased.

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 utility model relates to the technical field of sewage treatment, in particular to a printing and dyeing workshop sewage multi-stage treatment device which comprises a filtering treatment mechanism, a precipitation treatment mechanism, a sewage discharge mechanism and an auxiliary mechanism, and a servo motor arranged on the filtering treatment mechanism drives a rotating shaft to rotate so as to drive a driving gear to synchronously rotate. The driving gear is meshed with a gear disc fixedly mounted at the top end of the centrifugal filter cartridge, so that the centrifugal filter cartridge can be synchronously driven to rotate, and the centrifugal filtering effect of sewage in the filter cartridge is realized. The metal filter screens are mounted on the outer side of the centrifugal filter cartridge in a fragmented manner, so that operators can conveniently mount, dismount and clean the metal filter screens after long-term use, and the maintenance convenience of the device is improved. Through a two-way connecting pipe, a flow meter, a sewage connecting pipe, a sewage pump and a blow-off pipe which are arranged on the blow-off mechanism, sediments at the bottom end of the conical precipitation barrel can be rapidly pumped and drained, a blow-off opening is prevented from being blocked, and the operation efficiency is improved.

The present invention provides a method for evaluating the vulnerability of marine hazard-bearing bodies based on SETR and geographic grids, which belongs to the field of intelligent ocean data processing technology. The method comprises the following steps: establishing a sample library, constructing a semantic segmentation model of remote sensing images of marine hazard-bearing bodies based on a SETR network, constructing a grid spatiotemporal data set using geographic gridding technology, establishing a grid and spatial value density hazard-bearing body vulnerability assessment method, calculating a marine hazard-bearing body vulnerability index, and realizing the vulnerability assessment of marine hazard-bearing bodies in a region. In view of the difficulties in investigating and extracting massive marine hazard-bearing bodies and the lack of intelligent early warning and monitoring technical means, a marine hazard-bearing body vulnerability assessment model based on SETR and geographic grids is constructed using deep learning, geographic gridding, spatial value density, disaster science and other technologies, so as to realize intelligent and rapid evaluation of marine hazard-bearing bodies in a large range of scenarios, which is of great significance to the intelligent monitoring and early warning of disasters of marine hazard-bearing bodies under typhoon disasters and the refined management of disaster prevention and mitigation.

The invention belongs to the technical field of engineering energy industry. An engineering energy industry equipment document and drawing bit number automatic extraction system comprises a document drawing uploading module used for uploading a to-be-processed file to the system; the document drawing preprocessing module is used for preprocessing the uploaded file to obtain a target file; the document drawing OCR module is used for carrying out OCR identification on the target file and extracting characters in the file to obtain character information; the bit number information extraction module is used for matching and extracting the character information according to a preset rule to obtain bit number information conforming to the preset rule; the bit number position positioning module is used for positioning the bit number information to the bit number position of the target file to obtain bit number position information; the bit number accuracy matching module is used for performing similarity matching on the bit number information and bit numbers in an existing bit number library to obtain the bit number information with the highest similarity; and the extraction result storage module is used for storing the position information.

The utility model relates to the technical field of water quality detection sampling, and discloses a water quality detection sampling device, which comprises a sampler, a protective structure is fixedly arranged at the bottom of the sampler, the sampler comprises a shell, the side surface of the shell is fixedly communicated with a drainage nozzle, and a motor and a battery are respectively and fixedly arranged at the upper part in the shell. A side screen plate and a bottom screen plate in the protection structure can intercept sundries and aquatic plants in water, and a safe water taking local area is formed in the protection structure, so that the blockage of the sundries is ensured, and the blockage problem of a water inlet is reduced; then the motor is remotely controlled to drive the lead screw to rotate, so that the plug disc in seamless connection with the shell can ascend, the limiting strip is arranged to ensure that the plug disc cannot rotate along with rotation of the lead screw, negative pressure is formed in the shell due to ascending of the plug disc, an external water source can enter the water storage space of the shell through the one-way water inlet valve, and rapid extraction of the water source is achieved; and the water taking efficiency is improved.

The invention provides a cervical screening intelligent question answering method and system based on a large language model, and belongs to the technical field of medical information. According to the scheme, the method comprises the following steps: acquiring professional data related to cervical screening, and preprocessing the professional data; constructing a professional corpus according to the preprocessed professional data, mounting the professional corpus to a trained large language model, and constructing an intelligent question and answer system; retrieving information most relevant to the question input by the user according to the intelligent question-answering system, and combining the information with the question input by the user to obtain enhanced context information; and generating a final answer by combining the trained large language model with the enhanced context information. A large language model is utilized to retrieve and calculate a constructed professional corpus, the RAG technology is integrated, rapid and accurate retrieval and personalized consultation service of cervical screening related knowledge are achieved, meanwhile, the safety and privacy of user data are protected, and the data leakage risk existing in a traditional method is avoided.

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.