29results about How to "Reduce deletion" patented technology

The invention relates to the technical field of breach image processing, in particular to a breach rapid situation awareness method and system based on multi-source data. The method comprises the following steps: acquiring dam monitoring station data; performing hydrological sensor network setting on the dam monitoring station data to obtain dam hydrological sensor network data; performing ultrasonic water level change trend analysis on the dam hydrological sensor network data to generate an ultrasonic water level change trend chart; performing breach node sensing on the dam hydrological sensor network data according to the ultrasonic water level change trend chart to generate breach node data and breach prediction node data; and according to the breach node data, macroscopic disaster risk analysis is carried out on the breach area, and a breach area macroscopic disaster risk schematic diagram is generated. According to the invention, through real-time data integration, comprehensive risk assessment, unmanned aerial vehicle monitoring, dynamic prediction model and multi-party cooperative response, the accuracy and response speed of breach rapid situation awareness are improved.

The invention provides a solar radiation quantity evaluation method and device, electronic equipment and a storage medium, historical meteorological data of a place where a photovoltaic project is located are acquired and data cleaning is performed on the historical meteorological data, and the historical meteorological data are from various meteorological databases; performing data fusion processing on the cleaned historical meteorological data based on geographic position information of the photovoltaic project to obtain target meteorological data of a place where the photovoltaic project is located; and performing data analysis on the target meteorological data, and determining radiation quantity data of the place where the photovoltaic project is located. Compared with the prior art, the method has the advantages that the historical meteorological data is acquired from various meteorological databases, so that information from different sources can be covered to the greatest extent, and possible deviation or missing of a single data source is reduced; based on the accurate target meteorological data, the radiation quantity data of the place where the photovoltaic project is located can be calculated more accurately, and the power generation efficiency and economic benefits of a photovoltaic system are improved.

The invention discloses an insurance data analysis method and system based on a multi-modal pre-training large model, and relates to the field of insurance data analysis, and the key point of the technical scheme comprises the steps: collecting comprehensive insurance data, carrying out data quality improvement processing on the comprehensive insurance data, obtaining a quality improvement data set, and carrying out cross-modal integration processing on the quality improvement data set. Obtaining an associated integrated chart; constructing a multi-task driven model, performing adaptive updating on the model, inputting the associated integrated chart into the pre-trained multi-task driven model, and generating an insurance analysis report; an insurance analysis report is displayed on a computer end page, interface interaction with a user is carried out, high-quality analysis and processing of insurance data and self-adaptive updating of a model are achieved, and high-quality and high-efficiency services are provided.

The embodiment of the invention provides a semiconductor structure and a preparation method thereof, a semiconductor layout layout and an MOS device. The preparation method comprises the steps of providing a semiconductor substrate; the semiconductor substrate comprises a shallow trench isolation region and an active region defined by the shallow trench isolation region; wherein a pit connected with the surface of the active region is formed on the surface of the shallow trench isolation region; the pit is provided with a rising surface extending from the bottom of the pit to the top of one side, far away from the active region, of the pit; manufacturing a dummy gate structure on the semiconductor substrate; the dummy gate structure comprises a functional layer in contact with the shallow trench isolation region and a dummy gate material layer stacked on the functional layer; wherein a contact surface is arranged between the functional layer and the shallow trench isolation region, and the contact surface is not overlapped with the rising surface of the pit, or the rising surface of the pit is completely covered by the contact surface; and preparing and forming a gate structure corresponding to the position of the dummy gate structure. Therefore, functional layer loss and active region damage occurring in the preparation process can be reduced.

The invention discloses a seismic data acquisition design method, electronic equipment and a storage medium, and belongs to the technical field of seismic data acquisition. In order to realize better seismic data acquisition and reconstruction, the method comprises the following steps: arranging initial sampling points in a target area by adopting a jitter sampling method; calculating a dynamic time matching distance between every two adjacent initial sampling points for the two-dimensional seismic trace data; performing plane triangulation on the initial sampling point of the three-dimensional seismic trace data, calculating a dynamic time matching distance for each triangle based on the seismic trace data of each vertex in the triangle, and then calculating a dynamic time matching distance average value for the obtained dynamic time matching distances; distance sorting is carried out, and a current maximum seismic signal area in the target area is extracted as a key area; adding a new sampling point in the key area; and adding the newly added sampling points into the initial sampling point set, and then continuously adding the sampling points in the updated key area in a loop iteration manner until the number of the arranged sampling points reaches the total number of the sampling points.

The present application provides a method and device for processing polyphones, and a model training method and device, wherein the polyphone processing method includes receiving a Chinese sentence containing polyphones, and determining a first position feature of the polyphones in the Chinese sentence; segmenting the Chinese sentence, and determining the part-of-speech feature of the polyphones based on the words obtained by the word segmentation and the part-of-speech of the words; obtaining a word containing the polyphone, and determining a second position feature of the polyphone in the word containing the polyphone; inputting the first position feature, the part-of-speech feature, and the second position feature into a polyphone disambiguation model to obtain the pronunciation corresponding to the polyphone.

The utility model belongs to the technical field of ink-jet printing, and particularly relates to high-speed and high-precision ink-jet printing equipment for two-dimensional code labels, which comprises a printing table. A printing machine is mounted at the top of the printing table; an unwinding roller is mounted at the end part of the printing table; two guide rollers are installed at the end, away from the unwinding roller, of the printing table. A drying box is fixedly connected to the middle of the printing machine. Two air boxes are fixedly connected to the end part of the drying box; a fan is mounted in the middle of the air bellow; two drainage plates are fixedly connected to the middle of the drying box; the two drainage plates are oppositely arranged in a staggered manner; the drainage plate is arranged in an L shape; a heating wire is mounted in the middle of the drying box; the heating wire is arranged in an arch shape; the heating wire is arranged between the two drainage plates; through the structure, ink drops on the surface of the printed label can be rapidly shrunk and shaped, the situation that the black and white module boundary of the two-dimensional code is fuzzy due to burrs formed after the ink drops to the surface of the label and diffuses to the periphery is reduced, and the two-dimensional code pattern is kept complete.

The invention discloses a frequency hopping communication system and method based on RCM, and belongs to the technical field of wireless communication. The system comprises a transmitting end and a receiving end, the transmitting end comprises a channel coding unit, an RCM modulation unit, a symbol distribution unit, a frequency hopping module unit and a radio frequency transmitting unit which are connected in sequence, and the receiving end comprises a radio frequency receiving unit, a frequency hopping module unit, a symbol reconstruction unit, an RCM demodulation unit and a channel decoding unit which are connected in sequence. The RCM is applied to the frequency hopping communication system and replaces modulation modes such as QPSK and QAM in a traditional frequency hopping communication system, an RCM coding symbol distribution scheme is designed, the number of symbols borne by each carrier frequency point can be dynamically changed with a single symbol as a unit according to channel conditions, self-adaptive change of the transmission rate is achieved, and the transmission efficiency is improved. Therefore, the complex and changeable frequency hopping communication environment is dealt with, the loss of bit information under strong interference is reduced, and the anti-interference capability of the frequency hopping system is enhanced.

The present application discloses a method, device and terminal device for determining a large-scale digital line map. The method comprises obtaining the landform type of the area to be measured, obtaining an inclined three-dimensional model and a downward-looking stereo model, and determining the digital line map of the area to be measured according to the landform type of the area to be measured, the inclined three-dimensional model and the downward-looking stereo model. The method of the present application is not restricted by terrain, improves data collection efficiency, and greatly reduces the workload of subsequent field surveys.

The present invention relates to the field of chemical transportation technology, and discloses a high-efficiency and energy-saving chemical process pump, including a pump body and a rear cover box on one side of the pump body, a runner is rotatably mounted on one end of the rear cover box, one side of the runner has an impeller component in a ring array, the pump body is used to seal and fit with the outer surface of one end of the rear cover box, the runner is used to rotate in the pump body, the impeller component includes curved blades, an intermediate shaft, a sealing rubber sleeve and a flip plate, the outer surface of one side of the runner is provided with an intermediate shaft, and the outer surface of one side of the intermediate shaft has curved blades in a ring array. The present invention reduces the startup hysteresis and power loss of the device by using a connection with a larger torque when the device is initially started, so that the device can select a suitable transmission ratio according to use to reduce the loss of kinetic energy and increase the flow rate without changing the speed, thereby achieving high efficiency and energy saving of the flow rate.

This invention belongs to the field of image processing technology, specifically relating to an automatic measurement method and system for material quantity in a silo based on machine vision. The method includes: acquiring depth and infrared intensity images of the silo; preprocessing these images to generate a valid binary mask; determining a geometric confidence factor based on the deviation between the depth gradient and the natural angle of repose of the material being measured, as well as local curvature; and determining an environmental confidence factor by combining infrared intensity and measurement distance; repairing invalid pixels using anisotropic diffusion; predicting depth values ​​based on first-order Taylor expansion and multi-dimensional confidence weighting; converting the repaired depth image into physical height and projected area; and obtaining the total volume of material in the silo through infinitesimal element accumulation. This invention solves the problem of data loss in complex environments and improves measurement accuracy.

The application discloses a kind of ship navigation intelligent obstacle avoidance methods based on multi-modal perception, it is related to ship intelligent navigation technical field, including the following steps: acquisition multi-modal perception data and standardization, generate ship navigation perception dataset;Arrange perception node, generate ship multi-node perception layout;Establish ship circumferential perception coordinates and generate ship circumferential layered covering relationship;Divide far distance early warning area, near distance identification area and berthing monitoring area, generate ship zoned perception state;Process far distance radar data and near distance millimeter wave radar data, generate radar target perception result;Process visual image data, generate visual target perception result and ship look-around panoramic image;Match radar target perception result and visual target perception result, combined with ship body attitude change is directed to compensation and collision risk judgment, generate ship navigation intelligent obstacle avoidance result.The application has the advantages of wide perception range, target fusion accuracy and obstacle avoidance judgment stability.

The application relates to the technical field of emergency management, and discloses a multi-information fusion disaster accident emergency knowledge pushing method, which comprises the following steps: collecting multiple types of disaster related data and preprocessing, and constructing a unified emergency information dataset; inputting the dataset into a pre-constructed time-space-cause three-in-one state transition model to obtain disaster accident scenario evolution data; generating a unified scenario feature vector through a three-level fusion architecture; generating a candidate knowledge set through a thinking chain reasoning combined with an emergency knowledge graph and a pre-trained emergency large model; sorting the candidate knowledge in combination with a disaster scenario, a rescue task and a user role; and performing multi-terminal directional pushing. The application improves the scenario adaptability, multi-source information fusion efficiency and reasoning accuracy of emergency knowledge, realizes personalized pushing of the emergency knowledge, and provides scientific and efficient support for emergency rescue decision-making.

The application provides a landslide partition automatic processing method based on InSAR technology, belongs to the technical field of landslide deformation remote sensing monitoring, and aims at the problems that the existing single InSAR method is difficult to adapt to multiple ground objects in a complex landslide area, and is prone to uneven monitoring point density, missing deformation in a low-coherence area and inconsistent partition results. Synthetic aperture radar images, orbit ephemeris, digital elevation models, land cover vector data and landslide geological survey data are acquired, and the coherence quality index, the intensity quality index, the radar visibility index and the spatiotemporal baseline suitability are calculated. The land cover type and the landslide geological partition are superimposed to demarcate a monitoring subarea, the processing adaptation index is formed in combination with the scatterer distribution characteristics, and the InSAR processing strategy is matched. The partition timing deformation inversion is carried out based on a unified reference datum, and the timing deformation monitoring result of the whole landslide area is obtained after processing. The application improves the integrity, consistency and automation level of deformation monitoring in a complex landslide area.

The invention provides a text information extraction method and device, a named entity recognition method and device and a relation extraction method and device. According to the method, on the basis of a large-scale or small-scale information extraction model, the to-be-processed text information is analyzed to obtain the grammar semantic information (such as syntactic structure information and semantic association information) of the text information, and the grammar semantic information of the text information is injected into the information extraction model; according to the method, the information extraction model better learns language semantic knowledge, integrates grammar semantic information into text representation of the text information, obtains enhanced representation of the text information, and performs information extraction according to the enhanced representation to obtain an information extraction result, so that the missing of key information can be effectively reduced or even avoided, and the information extraction accuracy is improved.

The invention discloses a method, device and equipment for generating a software code based on a design document of a large model, a medium and a product, and relates to the technical field of project software development. The method comprises the following steps: reading a design document; the design document comprises a front-end detailed design document, a rear-end detailed design document and a database design document; performing segmentation traversal processing on the design document by using an open source python packet to obtain a text file, and transmitting the text file to a specified directory; reading text file contents in a specified directory by adopting python, combining the text file contents with predefined cue word template contents to generate cue words, and calling a large model to input the cue words to return a text containing code blocks; performing regular expression processing on the text by using python, and determining code information; the code information comprises a code file path name, a code package name, a file name and code content. The development efficiency can be improved, and the development period can be shortened.

This invention relates to the field of satellite mapping, and more particularly to a method, apparatus, equipment, and storage medium for building mapping based on BeiDou communication. The method includes the following steps: continuously imaging a target building area using BeiDou satellites to construct an optimized image sequence; performing building height inversion on the optimized image sequence to obtain height distribution information; identifying building structural feature points based on the optimized image sequence to obtain the three-dimensional spatial coordinates of multiple feature points; modeling the outer contour based on the three-dimensional spatial coordinates, and correcting for height deviations based on the height distribution information to output a three-dimensional outer contour model; calculating the true latitude and longitude coordinates of the three-dimensional outer contour model, performing geographic coordinate annotation, and outputting a three-dimensional mapping model. This invention achieves accurate positioning and high-fidelity mapping modeling of buildings.

The application relates to the technical field of data governance, in particular to a distributed data governance system based on a new type of scheduling algorithm of a pipeline. The system comprises a basic framework unit, a pipeline scheduling unit, a unified service unit and a data management unit; the basic framework unit is used for managing a network framework supporting system operation; the pipeline scheduling unit is used for managing scheduling of an inter-process communication pipeline; the unified service unit is used for unified standardized management of data; and the data management unit is used for comprehensive governance of data. The application can realize distributed data governance, improve the fusion degree of the system and enhance the extensibility of the system; can improve the transmission effect of a data exchange process, improve the integrity and security of data; through centralized scheduling management of data, the framework is convenient for node expansion of the system, can support high-concurrency access of a large user, and can realize visual management of a data full life cycle, shorten a data management cycle and reduce cost waste.

The present application discloses a method for constructing a model library of a driverless car VCU control system based on Modelica, the method comprising: determining the vehicle parameters of the driverless car and the corresponding vehicle control schematic diagram of the VCU control system, and dividing the functional requirements of the VCU control system to determine the functional modules; determining the correspondence between the input signal and the actual output control signal under different driving states, and establishing a logic judgment module based on the correspondence and the preset electrical signal interface module; establishing a signal interface based on the functional requirements of the VCU control system, connecting the signal interface with the logic judgment module, and establishing a functional module model of the functional module; according to the vehicle control schematic diagram, connecting the functional module models in sequence and performing closed-loop simulation tests to adjust the functional module models. Through the technical solution in the present application, the problems of incomplete configuration of basic vehicle parameters and missing vehicle interface functions in the VCU control system modeling in the related technology are solved.

The application discloses a dense matching method and system based on superpixels and LiDAR geometric perception, and solves the problem of poor point cloud reconstruction effect in the prior art.The application projects point clouds to generate a sparse depth map, and divides an image into a plurality of superpixel regions; then, a plane is fitted for each superpixel region to form a stable geometric prior, thereby avoiding random initial errors and error accumulation; then, pixels are divided into reliable and unreliable categories according to the reliability of the fitted plane, and a differentiated propagation strategy is used for plane estimation; in this way, the classified propagation avoids over-smoothing of the depth map and large-area holes, and the superpixel plane geometric constraint is introduced into the joint cost, thereby enhancing the anti-interference ability under the conditions of light variation and weak texture; thus, the matching robustness and depth integrity under the conditions of weak texture and complex light in a large-scale urban scene are significantly improved, and the generated point cloud is more accurate, less missing and more detailed.

The invention discloses a human body activity and form measurement method based on multi-RGB camera three-dimensional dynamic capture, and relates to the technical field of image processing, and the method comprises the steps: obtaining a multi-view image sequence of a target object in a human-computer interaction process; based on the multi-view image sequence, determining a basic body surface of the target object, and determining an inward shrinkage equidistant surface obtained after the basic body surface shrinks inward for a preset distance; determining a three-dimensional point cloud model of the target object based on the basic body surface, the indentation equidistant surface and the multi-view image sequence; grid reconstruction is carried out on the three-dimensional point cloud model, texture mapping is carried out on the three-dimensional point cloud model after grid reconstruction, a three-dimensional point cloud model after texture mapping is obtained, and a three-dimensional dynamic model of the target object is determined according to the three-dimensional point cloud model after texture mapping corresponding to each visual angle image in the multi-visual angle image sequence; and carrying out activity measurement and form measurement on the target object based on the three-dimensional dynamic model.

The invention relates to batching equipment, a batching system and a batching method, and belongs to the technical field of electronics. The batching equipment comprises a batching tank, an acquisition module and a controller. The batching tank is provided with a plurality of small material feeding ports, each small material feeding port is provided with a valve, and each small material feeding port is used for being connected with a small material container in an inserted mode; the acquisition module is used for acquiring material information of each small material container; the controller is connected with the collecting module and the valve of each small material feeding port, and the controller is used for controlling the valve of each small material feeding port to be opened for feeding according to the task work order, the material information of each small material container and the small material feeding sequence in the task work order. The batching equipment provided by the invention can accurately control each small material to be fed according to the feeding sequence of the task work order, ensures that each step of feeding is carried out according to a preset technological process, reduces errors caused by manual operation, and further improves the product quality and the consistency of the quality of products in the same batch.

The application discloses a kind of packing box surface flatness intelligent detection method, it is related to industrial vision detection technical field, including response detection trigger instruction, obtain the three-dimensional profile scanning data stream of the packaging box to be detected, extract high-density sampling point set and identify discrete hollow region, perform boundary tracking operation to generate closed boundary curve in this region, according to the length and area numerical value of curve periphery Calculate the defect degree index;Obtain the density distribution map of packaging box material, extract the density abnormal block overlapping with discrete hollow region, fuse the defect degree index and density abnormal block to generate intermediate state evaluation parameter set, analyze parameter set to obtain surface fluctuation deviation and output detection result.The present application can realize the joint evaluation of geometric defect and material density, accurately quantify surface defect degree, improve the accuracy and integrity of packing box surface flatness detection.

This application provides a method for enzymatic DNA or RNA synthesis, a composite vector, and a conjugate. The conjugate comprises a nucleotidase, a nucleotide monomer, and a cleavable linker connecting the nucleotidase and the nucleotide monomer. The nucleotidase comprises a terminal deoxynucleotidase or a terminal ribonucleotidase. The innovative structure of this conjugate fundamentally changes the traditional mode of enzymatic reactions. In the enzymatic extension step, the TdT enzyme can only participate in the reaction carrying its pre-conjugated nucleotide monomer, thus physically ensuring that only one base is added at a time. After the reaction is complete, the TdT enzyme is specifically cleaved by a cleavage agent, exposing a new 3'-OH terminus, preparing for precise addition in the next cycle.

This invention provides a multi-channel analog-to-digital signal acquisition system, comprising: a channel selection module for selecting and switching multiple analog signals and digital signals using an analog switch chip, and inputting the selected signal into a multi-channel analog-to-digital converter for sampling; an analog-to-digital conversion module for configuring key parameters of the multi-channel analog-to-digital converter and designing the circuit; a processing and control module for performing data processing and communication tasks using a microcontroller and configuring a real-time operating system for task scheduling; a communication module for real-time data transmission and display with a host computer using a standardized interface and selecting an appropriate communication protocol for communication and testing; and a power management module for configuring a highly integrated power management chip, designing low-power strategies, and performing real-time monitoring and management. This invention significantly improves the quality, efficiency, and accuracy of the acquired data, enhances system performance and compatibility, and promotes the intelligent development of the system.

The utility model discloses a continuous type spray drying device for additive based on prelithiation lithium battery precursor production relates to additive drying technical field, and the utility model discloses a drying tank, and the upper surface of drying tank has the movable contact of sealing plate, and the lower surface of sealing plate is rotatoryly installed and is equipped with the rotating ring of two drainage holes, and rotating ring bottom rotatoryly sets up in the inside of drying tank, and the inner wall of rotating ring is fixedly installed with two collection box, and the drainage of collection box in and the drainage hole of rotating ring are linked together, and the bottom of two collection box is detachably installed with the scraping frame, and the side of two scraping frames away from each other and the inner wall movable contact of drying tank, the utility model discloses in scraping frame to the additive that adheres on the inner wall of drying tank is scraped, reduces the loss of additive, and then through setting installs screw rod and installs the installation and dismounting between collection box and scraping frame are realized, and the scraping frame is replaced conveniently.

The present application relates to a method, device, equipment and storage medium for generating a project feasibility study report, the method comprising: when receiving project information, the project information at least includes: project type, chapter title and chapter feature corresponding to the chapter title, searching for a report template corresponding to the project type in a template database; searching for a chapter position corresponding to the chapter title in the report template; searching for a feature position corresponding to the chapter feature at the chapter position corresponding to the chapter title; searching for a paragraph corresponding to the chapter feature in the project information, and copying the chapter feature and the paragraph corresponding to the chapter feature to the feature position corresponding to the chapter feature in the report template, to generate a feasibility study report. The present application organizes the project information, copies the chapters in the project information to the corresponding positions of the template, and adjusts the format of each paragraph to achieve the effect of quickly generating a feasibility study report.

The invention provides a method and system for automatically configuring a process data object and a computer readable storage medium. The method comprises the steps of judging whether a function of an automatic configuration process data object is opened or not; when it is judged that the function of automatically configuring the process data object is opened, whether the current process data object is complete or not is judged; and when the current process data object is judged to be incomplete, configuring a new process data object. According to the method provided by the invention, automatic PDO configuration can be realized, the difficulty and time of manual configuration are reduced, the probability of PDO missing and / or errors caused by manual configuration is reduced, and the accuracy and reliability of PDO configuration are improved.

The present application belongs to the technical field of supply chain procurement decision, and discloses a supply chain procurement order allocation optimization method and system considering performance period risk. Structured data of a procurement system, multi-source procurement data files and historical performance evidence data are acquired to determine a candidate supplier set; procurement decision fields are extracted from the multi-source procurement data files, field confidence is calculated and field gate results are formed; a supplier evidence graph is constructed and a graph version is generated; a risk input version is generated based on the graph version and corresponding input, performance failure probability of the candidate supplier, order dimension risk confidence and risk gate variables are calculated through a performance duration model, and a procurement order allocation scheme is solved; single-field risk input disturbance is performed on an interval disturbance state field, evidence supplement, version update, risk recalculation and model re-solution are performed when a preset trigger condition is met, and a procurement order allocation scheme with a graph version, a risk input version and an optimizer snapshot identifier is output.