87 results about "Fixed field" patented technology

The invention relates to the technical field of textile informatization and block chain encryption traceability, in particular to a textile quality block chain encryption traceability method, which comprises the following steps of: implanting quantum dot-nucleic acid mixed fingerprints into yarns in a spinning stage and generating distributed identities; in the production link, process data are collected in a trusted execution environment, and are packaged into an encrypted packet by using homomorphic encryption, zero-knowledge proof and threshold signature; and after a batch threshold value is reached, calculating a batch commitment and a fragmentation commitment, fragmenting through erasure coding, writing the commitment and the proof into the directed acyclic graph according to a fixed field, and confirming through a Byzantine fault-tolerant consensus. Consumer off-line fingerprint comparison and homomorphic verification can realize authenticity identification, and after networking, batch certification is verified and credits are pledged. And when the time lock expires, the historical quality data is decrypted by multiple subjects in a combined manner, and maintenance suggestion hash is generated and written into subsequent transactions, closed-loop tracing from production to maintenance is realized, and anti-counterfeiting, privacy protection and quality improvement are realized at the same time.

The invention provides a standardized data processing method based on a large model, electronic equipment, a storage medium and a computer program product, and the method comprises the steps: generating a standard field semantic vector through large model coding field name character string input, a field value sample list and context structure information of a field; calculating a semantic offset degree between the semantic vector of the field to be standardized and the semantic vector of the standardized field, and generating a successfully matched field pair set and a normalized failed field set; obtaining a historical standard version, and generating an optimal field and maximum score version mapping set; semantic positioning is carried out in the maximum score version according to the optimal field, and a matching field is calculated; and obtaining standard mapping field information under the current version based on the mapping rule table of the matching field, and outputting the standard mapping field information. The problem that a traditional rule system depends on a fixed field and is not sensitive to version change is solved.

The invention belongs to the technical field of radar human body tracking and recognition, and particularly relates to a rotary millimeter wave radar human body tracking and recognition device and method. The millimeter-wave radar module is mounted on the rotating holder module, and the main beam direction of an antenna in the millimeter-wave radar module is perpendicular to the rotating shaft; the millimeter wave radar module is connected with the control module, and the embedded processor is internally provided with a point cloud data processing algorithm and an identity recognition neural network which are used for overcoming the influence of environmental noise and multipath effect on data quality. The problems of fixed field angle and limited monitoring range of the traditional millimeter wave radar are effectively solved; and through an improved data processing algorithm and an identity recognition neural network, the influence of environmental noise and a multipath effect on data quality is overcome, and the reliability and adaptability of the system in a complex scene are remarkably improved.

The invention provides a three-port semantic communication architecture optimization method introducing a semantic mapping end, and belongs to the technical field of information processing. The technical problem that semantic communication service content is not beneficial to explanation, supervision and integration is solved. According to the technical scheme, the method comprises the following steps: S1, constructing and training a multi-modal semantic coding model; s2, constructing and training a multi-modal semantic decoding model; s3, constructing a requirement test on the precision and dimension of the high-compression floating point format vector in a fixed scene; s4, fixing a service scene; s5, according to the collected business original multi-modal data; s6, collecting coded data corresponding to the original multi-modal data of the service according to the step S4; s7, constructing and training a mapping model from the coded data to the text or label data; s8, realizing a normal semantic communication system transmission process; and S9, executing subsequent supervision or processing operation. And more research and optimization spaces are provided for a future semantic communication system.

The invention relates to the technical field of intelligent remote control, and discloses a multi-machine collaborative management and control method for coal mine fully-mechanized excavation, fully-mechanized mining, main transportation, auxiliary transportation, production assistance, power supply and distribution and other fixed scenes, and the method comprises the following steps: S1, system architecture design: constructing a multi-machine collaborative management and control system, by means of a special multi-element sensing and control module configured for each equipment unit in a fixed scene, a central control system serves as a coordination center, and autonomous operation is achieved by means of an edge computing center control module of the central control system under the condition of communication interruption or delay; s2, real-time sensing and data fusion: integrating deployed sensors in existing equipment, and collecting equipment operation condition states and environment information; a self-learning function and a distributed data storage mechanism are introduced into the edge computing device, so that self-adjustment and optimization of each device in a complex coal mine environment are realized, local data sharing and self-adaptive control can still be realized even under the condition of communication interruption or delay, and continuity and safety of operation are ensured.

The invention discloses a communication protocol automatic analysis and test data generation method and system, and the method comprises the steps: analyzing an unstructured protocol document, recognizing a fixed field and a variable field in the document, and outputting structured data; automatically generating test data based on the structured data, dynamically calculating a checksum according to a specified check algorithm type in the structured data, and filling the checksum into the original message to form a complete test message; and generating a standardized test data set according to the complete test message. According to the method, manual intervention is not needed from document analysis to test data generation, the analysis efficiency is improved, and most protocol scenes are covered through the boundary value, the abnormal value and the orthogonal combination strategy. The method supports various document formats, data types and verification algorithms, adapts to protocol standards of different industries, facilitates problem positioning and regression testing through standardized output documents, and reduces the maintenance cost.

The invention relates to the field of computer information security and access control, and discloses a block chain power data security sharing method. The method comprises the following steps: acquiring a data field list, a measuring point list and a configuration mapping table, executing naming specification, time anchor registration and de-identification processing, and forming a fixed field sequence and an on-chain index record structure; based on context legality verification and policy mapping, generating an access constraint policy and completing generation and binding of a one-time session token, solidifying a policy snapshot on a contract side and registering a validity period; zero-knowledge proof is constructed, witness materials are assembled, and dual-channel checking, event account falling and failure evidence registration are carried out through a verifiable session smart contract; and an end-to-end key negotiation and control channel is established, so that safe data minimum access and result sealing are realized. According to the method, credible sharing and traceable access of the power data among multiple subjects are realized, and the data security, compliance and chain governance capability are improved.

The invention relates to the technical field of identity authentication, in particular to a user identity authentication method and system for communication software, which comprises the following steps of: acquiring an identity authentication request data packet in a communication protocol, decoding identity authentication field information, extracting a fixed field, a dynamic field and a variable field, and calculating a data bit offset value; and carrying out structure mapping and obtaining an identity verification field mapping result. According to the invention, through deep analysis of the identity verification request data packet, extraction and mapping of the identity verification field structure, improvement of the analysis accuracy and construction of the matching feature matrix, verification of the data format and content is more targeted, the possibility that abnormal data bypasses verification is reduced, the session continuity is evaluated in combination with historical session data, and the verification efficiency is improved. The adaptability of identity authentication to dynamic behaviors is improved, context consistency is calculated, keyword deviation degree judgment is performed, identity authentication strength is adjusted, identity authentication dynamically adapts to user behavior changes, interaction experience is improved, and safety is enhanced.

The invention provides a large-view-field high-resolution compound eye camera array system based on bionic human eye vision. The system is composed of a curved surface support and an industrial camera array arranged on the curved surface support. Reverse extension lines of optical axes of all the cameras intersect at the same point to form a concave surface structure similar to the retina, and the fixed view field overlapping rate of the adjacent cameras is kept. The industrial camera array is used for collecting a target scene image, large-view-field information is obtained by fusing and splicing all camera images, and a high-resolution image is obtained by conducting super-resolution reconstruction on a plurality of related images in a view field center interested area. The system provides three working modes, namely a low-resolution mode, a conventional-resolution mode and a super-resolution mode, which can be switched by adjusting camera parameters. Finally, the system can perceive the dynamic change of the edge of the field of view in a high-frame-rate and low-resolution mode, magnify the details in the center of the field of view in a super-resolution mode, realize efficient non-uniform imaging, and optimize the information acquisition and processing efficiency and the structure compactness.

The invention relates to the field of voice signal processing, in particular to a multi-language interactive learning system based on voice recognition, which is characterized in that sound waves and mouth shape images are synchronously acquired and discretized by the system, and cross-modal coding is formed after alignment; secondly, the code is injected into a micro-ring photon reserve network through phase modulation to unfold time sequence characteristics, the code is mapped into a quaternion graph to be embedded, and segment boundaries are extracted through a diffusion-pulse coupling method; then, according to a fixed field sequence, encapsulating the quaternion graph embedding and segmentation data into an object mark prompt, inputting the object mark prompt into a low-rank adaptive language model, and generating semantic segmentation data and text transcription; and finally, the adaptive learning module implements sparse gradient updating on the low-rank weight and pulse network by using an integer fractal hash exclusive-or difference mask, and adopts support-query element learning for synchronous iteration after user clarification. According to the system, low-power-consumption, high-precision and second-level accent self-adaptive multi-language voice interaction is realized on the end side.

The invention provides an information interaction system and method for a satellite load and an on-satellite computer, and relates to the technical field of satellite communication, and the system comprises a satellite communication transmitting end and a satellite communication receiving end. The satellite communication sending end is used for filling field values in a plurality of fixed fields to obtain a request message, the plurality of fixed fields comprise a message type, a message serial number, a CRC field and a data field, and the data field comprises an effective data value and filling bytes used for supplementing the length of the field; the satellite communication receiving end is used for analyzing the received request message, filling a plurality of fixed fields with field values according to the message type of the request message to obtain a first response message representing that the request message is successfully responded or a second response message representing that the request message is failed to be responded, and sending the first response message and the second response message to the satellite communication receiving end; and returning the first response message or the second response message to the satellite communication sending end. In the instruction transmission process of the satellite load, a balance point is found between the reliability and the transmission speed.

A media detection system receives a video corresponding to a fixed field of view. The media detection system may receive user input indicating one or more object types to identify or a subset of the video within which to identify objects. The media detection system applies one or more machine-learned classifiers to frames of the video and creates a summary video that includes the background of the video and identified instances for simultaneous playback within the fixed field of view. The media detection system may also identify instances of objects in a live video stream and use the identified instances to respond to user questions. The media detection system applies a language model to questions to identify the subject matter of the questions, identifies content within the live video stream associated with the subject matter, and uses the identified content to respond to the user's question.

The utility model discloses an energy-saving heat preservation water tank fixing device, which relates to the field of heat preservation water tank installation and fixation and comprises a fixed supporting seat, and at least three supporting legs for supporting and stabilizing the fixed supporting seat are connected to the periphery of the bottom end of the fixed supporting seat; a channel opening for the heat preservation water tank to pass through is formed in the fixed supporting base in a penetrating mode, a supporting disc for stably supporting the heat preservation water tank is arranged below the channel opening, and the supporting disc is used for stably supporting the bottom end of the heat preservation water tank. The supporting disc is fixedly connected with the fixed supporting seat through a plurality of connecting rods; a clamping structure used for clamping and limiting the heat preservation water tank is installed and connected to the top end of the fixed supporting base. According to the fixing device, the heat preservation water tank can be supported and fixed, and the situation that water in the heat preservation water tank leaks due to movement in the using process is avoided; in addition, the fixing device is convenient to assemble and disassemble, low in manufacturing cost, capable of being recycled and environmentally friendly.

The invention discloses a strategy generation method and device, electronic equipment and a computer program product. Relates to the field of financial science and technology, and the method comprises the steps: extracting a field demand from a strategy generation task, the strategy generation task being used for indicating a generation demand of a target outbound strategy, and the field demand being used for indicating a field needed when the outbound strategy is generated; m groups of outbound fields are extracted from the data lake based on the field demand, the M groups of outbound fields are processed, processed outbound fields are obtained, the M groups of outbound fields at least comprise fixed fields and user feature fields, and M is a positive integer; and processing the processed outbound field to obtain a target outbound strategy. Through the method and the device, the technical problem of low generation efficiency when the outbound policy of the financial institution is generated in related technologies is solved.

The invention discloses a wide table data analysis method and system based on semantic association, and the method comprises the steps: receiving a natural language query demand input by a user, carrying out the semantic understanding through a pre-training language model combined with a financial knowledge graph, and generating a corresponding semantic expression; performing semantic analysis on the semantic expression, and disassembling the semantic expression into a logic expression containing a query demand and an analysis demand; based on the logic expression of the query demand, matching a corresponding wide table and field information through a preset index library, generating an executable query statement, and obtaining target data from the wide table; and according to the logic expression of the analysis demand, generating a corresponding data analysis code by using the code generation model, and analyzing the target data to generate an analysis result. The limitation of a traditional wide table fixed association mode is broken through, efficient integration and intelligent analysis of wide table data are achieved, the flexibility and accuracy of data processing are improved, and the limitation of wide table application in a fixed scene is broken through.

The invention relates to the technical field of an austenitic stainless steel sensitization process, in particular to an in-situ dynamic observation method for the austenitic stainless steel sensitization process. Aiming at the problem that dynamic precipitation of carbides on an original grain boundary cannot be clearly and continuously captured by the existing observation means, the method is realized by the following steps of: firstly, carrying out electrolytic polishing on a sample to obtain an observation surface without a deformation layer, and ensuring that only the original austenite grain boundary is shown at high temperature; secondly, executing a thermal cycle program including rapid solid solution and controllable cooling to a sensitization temperature in the HT-CLSM, and locking a precipitation process in a target isothermal stage; finally, automatic timing image acquisition is performed on the fixed field of view during an isothermal period. The method realizes clear, dynamic and visual observation of the whole sensitization process, especially initial nucleation, reveals carbide precipitation kinetics, provides an effective tool for research of a sensitization mechanism and material evaluation, and is suitable for austenitic stainless steel.

The invention provides a method for compressing monitoring data of an FC (Fiber Channel) network switch. The method comprises the following steps of: segmenting the monitoring data of the FC network switch into a fixed field H and a load P; a knowledge base L and a compiling table D are initialized according to the format defined by the FC frame protocol, the compiling table D is used for storing all roots in the load P, and the knowledge base L is used for converting subfields in the fixed field H into set coded values; compressing the fixed field H into a first compressed encoding stream according to the knowledge base L; compressing the load P into a second compressed encoding stream according to the compiling table D; and splicing the first compressed encoding stream and the second compressed encoding stream to generate compressed monitoring data. And through the established knowledge base L and compilation table D, a relatively long character string is represented by a relatively short code, so that the compression of the monitoring data of the FC network switch is realized.

The invention relates to the field of network security, and particularly provides a method and a device for analyzing an application encryption communication protocol based on a large model. The method comprises the following steps: dividing a byte sequence in an original network traffic packet into a plurality of traffic fragments, and performing feature extraction on each traffic fragment to obtain a high-level feature matrix of each traffic fragment; clustering the plurality of high-level feature matrixes to obtain a plurality of target traffic clusters; each target traffic cluster is a traffic fragment set with similar characteristics; for a plurality of traffic fragments corresponding to each target traffic cluster, dividing the traffic fragments in the target traffic cluster into a plurality of fixed fields and a plurality of variable fields according to the probability that bytes appear at the same position in the plurality of traffic fragments; and determining field types of the plurality of fixed fields and the plurality of variable fields according to a preset classification model to obtain an analysis result representing the traffic fragment. According to the technical scheme provided by the invention, the analysis accuracy of the APP encrypted communication protocol is improved.

A non-transitory computer readable media can cause the imaging analysis computer to: obtain a 3D model of a preheater level of the preheater; obtain at least one infrared image of a fixed field of view of the preheater level of the preheater; analyze all pixels in the fixed field of view of the at least one infrared image for each pixel temperature; generate a 2D temperature model of the preheater level; overlaying the 2D temperature model over the 3D model to generate a virtual 3D preheater level temperature model; and provide a visual representation of the virtual 3D preheater level temperature model.

The invention relates to the field of education technology and intelligent systems, and discloses a college student labor practice education system based on situation embedding, comprising a situation adaptation optimization engine for evaluating student ability states and dynamically adjusting task difficulty parameters; the personalized task pushing module customizes a differentiated task list and a learning path; the real-time evaluation system generates behavior performance scores and immediate feedback; the adaptive situation generation module optimizes the follow-up task situation complexity; and the system and platform interface synchronously presents task progress and learning analysis reports. According to the method, the problems of capability mismatching and feedback lagging caused by traditional static layering are solved through real-time expression score driving task difficulty dynamic adaptation and in combination with a behavior characteristic feedback immediate adjustment strategy; synchronously constructing a situation complexity regulation and control mechanism; and a teacher adjustable interface is integrated to realize a teaching closed loop, so that the teacher deeply participates in path adjustment and optimization. Four-dimensional cooperation breaks through the limitation of a fixed scene, and the degree of participation and the migration ability are enhanced while the learning efficiency is improved.

The application provides an electronic archive verification code management method, a program product, an electronic device and a storage medium. The method comprises the following steps: acquiring fixed fields and custom metadata fields set for multiple business links of an electronic archive; signing a file verification code, the fixed fields, the custom metadata fields and a trusted timestamp by using a private key of an operation subject of a current business link to generate signature information; generating a verification code structured file according to the signature information; acquiring previous signature information of a previous business link; generating double signature information according to the previous signature information and information in the verification code structured file by using the private key, and storing the double signature information into the verification code structured file to generate a verification code associated file of the business link; and acquiring the verification code associated files corresponding to the multiple business links of the electronic archive to generate an operation track code. The recording requirements of multiple links are adapted, and the complete flow process of the archive is recorded through the inter-link association.

The application provides a three-port semantic communication architecture optimization method with a semantic mapping end, and belongs to the technical field of information processing. The technical problems of semantic communication service content being not conducive to explanation, supervision and integration are solved. The technical scheme comprises the following steps: S1: constructing and training a multi-modal semantic encoding model; S2: constructing and training a multi-modal semantic decoding model; S3: constructing a fixed scene, and testing the precision and dimension of a high compression floating point format vector; S4: fixing a service scene; S5: collecting service original multi-modal data; S6: collecting corresponding encoding data of the service original multi-modal data according to step S4; S7: constructing and training a mapping model of the encoding data to text or label data; S8: realizing a normal semantic communication system transmission process; and S9: performing subsequent supervision or processing operations. More research and optimization space is provided for future semantic communication systems.

The invention discloses a fixed scene real-time target counting system based on example driving, and the system comprises a cross-modal interaction module which receives a visual frame selection example and a natural language instruction to generate a unified example feature vector, and a lightweight feature extraction module which extracts a fixed scene image multi-scale feature map based on a post-distillation lightweight DINO backbone network. The space-time correlation processing module filters static interference and focuses on a dynamic target through an optical flow method and a background subtraction algorithm by utilizing the background constant characteristic of a fixed scene, and the real-time density map generation module normalizes a strategy for a priori optimization density map; and the edge computing optimization module performs edge device optimization deployment to reduce the computing power consumption and the storage demand of the embedded device. The method has the beneficial effects that multi-modal input processing, lightweight efficient feature extraction, accurate space-time target tracking, real-time density map generation counting and low-power optimization of edge equipment are realized, and the real-time performance, the accuracy and the deployment flexibility of the system are improved.

The invention discloses a satellite laser footprint position forecasting method considering a fixed field, and relates to the field of satellite laser altimeter in-orbit geometric calibration. The method comprises the steps of setting a fixed field center point coordinate; selecting a nearest sub-satellite point trajectory to forecast a satellite top crossing moment; calculating a side swing angle, a pitch angle or laser delay light emitting time of a satellite platform so as to enable the laser footprint to accurately fall on the fixed field detector array; before the satellite passes through the top, parameters are uploaded, enough execution time is reserved, and meanwhile a ground detector is started up in advance; when the satellite passes the top, laser is emitted to trigger the detector. According to the method, satellite parameters are actively regulated and controlled, the problem of low efficiency of a traditional passive waiting mode is solved, the footprint position forecasting precision is controlled within 20 meters, the calibration success rate and efficiency are remarkably improved, and the operation cost is reduced.

The invention provides a meteorological data storage method and apparatus, and an electronic device. The method comprises the steps of obtaining meteorological image data; adopting a preset algorithm to extract traditional business features and deep learning features of the meteorological image data, and fusing the traditional business features and the deep learning features to obtain a fused feature vector; storing the fusion feature vector to a vector data field of a pre-constructed database, storing a storage path corresponding to meteorological image data to an image file storage path field of the database, and storing an image identifier to an image unique identifier field of the database; and storing the corresponding meteorological image data in a preset file system. Compared with the prior art, the meteorological image data is not simply stored in a file system, feature extraction is performed by adopting a pre-auditing algorithm, and feature vectors are fused to serve as fixed fields in a database, so that convenience is provided for subsequent query, and the utilization rate of resources is improved.

The utility model provides a traction machine with a structure for firmly fixing a workpiece, which belongs to the field of hoisting workpiece fixing and comprises a traction machine main body, and a chain is arranged on the traction machine main body. And the fixing assembly comprises a supporting frame fixedly connected to the outer side of one end of the chain, a chassis is fixedly connected to the inner wall of the bottom of the supporting frame, positioning grooves are formed in the left side and the right side of the top of the chassis correspondingly, and sliding grooves are formed in the front side and the rear side of the top of the chassis correspondingly. Through the arranged fixing assembly, a workpiece can be pre-positioned through the positioning groove, then the workpiece is limited through the abutting and buckling parts on the two sides, the workpiece is supported and fixed in an auxiliary mode through cooperation with the soft cushion block, and finally it is guaranteed that the abutting and buckling parts on the two sides and the workpiece are stably connected and fixed through the elastic force provided by the torsional spring; in the actual operation process, positioning and fixing operation on the workpiece is simple, fixing is firm, and stability is high.

The present application relates to a kind of satellite communication management and control method based on large model protocol understanding and task routing, belong to the field of satellite communication system operation and maintenance management and control, including steps: the structure of satellite management and control protocol is defined as fixed field mapping function set, including synchronization head, operation code, parameter field and check code and the structure;Three kinds of training data sets are constructed, including demand-instruction alignment data, protocol rule data and incomplete intent data;Data augmentation is carried out by data enhancement strategy to generate augmented data set;Design protocol consistency loss function, introduce protocol consistency loss function regular term on the basis of standard cross-entropy loss;Baseline model is fine-tuned by QloRA method, and satellite management and control protocol understanding model is obtained;End-to-end management and control closed loop is realized based on satellite management and control protocol understanding model.The present application makes the management and control process develop from the past artificial whole process participation to the mode of human bypass whole process automation, so as to improve task processing efficiency and automation level.

The invention relates to the technical field of radars, in particular to an optical rotating mirror and a laser radar. Wherein the laser radar comprises an optical rotating mirror and a deformation control unit, and the optical rotating mirror comprises a reflecting mirror, a deformation unit and a rotating mechanism; the reflector is arranged on the deformation unit, the deformation unit is fixed on the rotating mechanism, and the deformation control unit is electrically connected with the deformation unit and is used for controlling the deformation unit to generate deformation and driving the reflector to rotate so as to adjust the field angle of the laser radar. According to the technical scheme of the invention, the collection rate of the laser radar for important environment information can be improved, and the problem in the prior art that the collection rate of the laser radar for the important environment information is reduced due to the fixed field angle of the laser radar, so that the driving safety of the vehicle in a turning scene is poor is solved.

The invention discloses a ship collision risk assessment method based on a dynamic elliptical ship field, and the method comprises the steps: obtaining a real-time state parameter and a maneuvering performance parameter of a ship, introducing a coefficient which reflects an encounter situation in an international collision avoidance rule, and constructing a dynamic elliptical ship field; calculating the spatial relationship between the ship and the dynamic field of the ship in real time to obtain the distance from the ship to the ship and the distance from the ship to the boundary of the field of the ship, and calculating to obtain a ship intrusion ratio; and according to the distance from the ship to another ship, the distance from another ship to the boundary of the ship field and the ship intrusion ratio, constructing a normalized collision risk degree model by using a Sigmoid function to obtain a collision risk degree value. According to the ship collision risk assessment method, through dynamic field and multivariate parameter comprehensive assessment, the limitation of a traditional fixed field model is effectively overcome, the accuracy and the real-time performance of ship collision risk assessment are remarkably improved, and a reliable basis is provided for realizing intelligent ship collision early warning.

The application discloses a kind of service log index data cleaning method, device, equipment and storage medium.It includes: obtaining original service log, original service log is parsed, generates key transaction field;Key transaction field is mapped to fixed field, and standard field is generated;Business index is calculated based on standard field, and business index and original log are stored based on double-layer storage architecture.Through generating key transaction field, the unified analysis of different format logs can be realized, the success rate and consistency of extraction are guaranteed, and non-predefined field rich data dimension can also be intelligently mined.Through fixed field mapping, the naming and format of each system field can be unified, and a global standardized field system is established.Through double-layer storage architecture, index and original log can be stored, unified intelligent calculation of business index can be realized, real and accurate index is guaranteed, differentiated storage management of data can also be realized, long-term retention and cost optimization are considered, and data access efficiency is improved.