345 results about "Information mapping" patented technology

The invention provides a multi-modal knowledge extraction method and system based on multi-agent collaborative optimization, and relates to the technical field of knowledge extraction, and the method comprises the steps: carrying out the multi-modal deconstruction of an original document to be extracted; constructing a multi-modal agent, respectively executing feature extraction and preliminary knowledge extraction, and outputting a single-modal multi-component system; based on a cross-modal knowledge graph, mapping information of different modals to a unified semantic node, and establishing cross-modal association and analyzing a logic chain through a graph neural network and a causal reasoning module; dynamically allocating resources according to the importance of map nodes, and screening structured knowledge; and through confidence analysis and node traceability evaluation, an intelligent agent cooperation mechanism is optimized, and increment correction is carried out on a result. According to the method and the device, the technical problem of low knowledge extraction accuracy and efficiency caused by insufficient multi-modal knowledge collaborative mining capability due to knowledge extraction of literatures by adopting a single agent in the prior art can be solved, and the knowledge extraction quality and efficiency are improved.

The invention relates to the technical field of industrial product defect detection, and discloses a defect detection method combining vision and X-ray detection technologies, which comprises the following steps of: synchronously acquiring vision image data and X-ray transmission data in a surface coverage area of a detection object, performing combined preprocessing to complete noise suppression, artifact elimination and time alignment, and then acquiring the X-ray transmission data; according to the method, surface texture features and internal structure features are extracted respectively, cross-dimensional information mapping is performed through a multi-modal association module to generate a fusion feature set, surface damage, internal holes and boundary discontinuous defects are identified, and finally, a hierarchical detection report is generated according to defect space distribution and severity and is updated continuously. According to the method, the advantages of vision and X-ray detection are integrated, cooperative detection of surface and internal defects is achieved, the comprehensiveness, accuracy and real-time performance of defect detection are improved through multi-modal data synchronous collection, feature fusion and dynamic report generation, and the method is suitable for part quality detection in the industrial manufacturing field.

The invention discloses a policy recommendation method and system based on a heterogeneous knowledge graph, and relates to the field of policy recommendation, and the method comprises the steps: obtaining an original policy text from a plurality of heterogeneous policy data sources, and extracting policy-related information; mapping the policy-related information into policy entity nodes; mapping the enterprise portrait data into enterprise entity nodes; defining and generating multiple types of edges between the policy entity nodes and the enterprise entity nodes based on a preset semantic relationship so as to construct a heterogeneous knowledge graph, constructing a graph neural network model, and executing embedding calculation on various nodes in the graph so as to obtain node representation vectors; and obtaining a matching degree, and outputting a recommended policy entry set according to the matching degree as policy recommendation information of the target enterprise. The method not only breaks through the problems of format dependence, rule stiffness and semantic shallow hierarchy of a traditional policy recommendation system, but also has relatively high universality, interpretability and actual deployment value.

The invention discloses a server actual hard disk physical slot position and hard disk information mapping method and device, and relates to the technical field of hard disk testing, and the method comprises the steps: marking a unique number through a hard disk recognition tool and a visual recognition case slot position under an operating system, highlighting a hard disk in combination with a lighting mechanism, and carrying out the recognition of the unique number through the slot position association after lighting. According to the method and the device, the actual hard disk SN code is established, the mapping relation between the actual hard disk SN code and the visual physical slot position is established, and the unique mapping between the actual hard disk position and the hard disk information is established through the mapping relation between the SN and the actual physical slot position, so that the problems of low efficiency of a hard disk testing technology, easiness in mistaken formatting, mistaken unloading and mistaken plugging after disk letter disorder, and high reliability are solved. According to the technical scheme, the technical problems that a storage path cannot be found in time, and the accuracy and efficiency of hard disk management are seriously affected are solved, and the technical effects that decoupling of the storage path and physical hardware is ensured, the influence of system restart or hardware change on services is reduced, the fault hard disk can be directly positioned through slot position identification, and the fault recovery time is shortened are achieved.

The invention provides a transformer substation operation and maintenance-based lock control terminal work log query method and system, and the method comprises the steps: collecting an original operation log stream generated by a transformer substation lock control terminal in a preset time period, serializing the original operation log stream to obtain a log data sequence, and then carrying out the context correlation analysis and recognition of an entity interaction relationship and behavior attribute description in a log text; a structured log metadata set is obtained after standardized integration; constructing a spatial topological index based on the physical layout and the electrical connection relationship of the substation equipment, mapping the equipment associated information in the spatial topological index to a corresponding node position of the spatial topological index, and generating a spatial enhanced log data set; receiving a natural language query request, generating a structured query expression, performing multi-dimensional retrieval matching on the spatial enhancement log data set, and outputting a preliminary query result set; and carrying out time sequence correlation analysis and operation influence evaluation on the log records to generate a query report. According to the invention, efficient and accurate query of the work log of the transformer substation lock control terminal can be realized.

Methods and corresponding systems and apparatuses for configuring user access to data stored in and / or accessed through an external computer system are described. Access permissions can be configured through defining a permission set relative to a proxy entity and assigning the permission set to one or more users. A proxy entity is a local representation of an external data entity. A proxy entity can be a virtual entity in that the proxy entity does not contain underlying data. A proxy entity can, however, include metadata describing its corresponding external data entity. A computer system maintaining a proxy entity can store mapping information linking the proxy entity to an external data entity. The mapping information and the permission set can be used to determine an access permission relative to the external data entity and to communicate this access permission to the external computer system so that access can be provided accordingly.

The invention relates to the technical field of data processing, in particular to an HTML (Hypertext Markup Language)-based webpage word cutting annotation generation method, system and equipment, and aims to solve the problems of low storage efficiency, poor dynamic webpage adaptability, lack of fault tolerance and insufficient cross-browser compatibility of an existing word cutting annotation method. The method comprises the steps of capturing a selected area; obtaining DOM node path data and text offset, and generating positioning data; recursively storing the path data to generate a unique fingerprint identifier; storing the fingerprint data as historical fingerprint data in a JSON format; performing matching and positioning based on the historical fingerprint data; and mapping information in the historical fingerprint data to an HTML page to realize bidirectional rendering. According to the method, the label name, the class name and the hierarchical relationship of the DOM node are recorded through the node path to construct the fingerprint identifier, and cross-platform data exchange is realized through the JSON structure, so that webpage labeling which is efficient, accurate, high in fault tolerance and adaptive to a dynamic page is realized.

The invention relates to the technical field of project progress management, and provides a multi-modal data driven project progress risk intelligent assessment method and system. Mapping the multi-modal engineering information into a third-order tensor, and generating a tensor slice of the third-order tensor as a space-time tensor based on a preset projection function; constructing a time-varying graph formed by engineering tasks and execution relations based on engineering information, extracting task features from the space-time tensor, generating edge weights based on the task features, adjusting node relations in the time-varying graph through the edge weights, and outputting a dynamic graph structure; based on the space-time tensor and the dynamic graph structure, generating a risk equation of the project progress in the space-time dimension, solving the risk equation through a differential equation, and outputting a risk item of the project progress; and generating a project progress risk assessment file according to the risk item and the actual progress data in the project information. Risk assessment errors are reduced, project progress risk assessment efficiency is improved, and project decision is supported to be converted from passive response to active intervention.

The invention provides a power distribution control cabinet fault response method and device, and relates to the technical field of electrical automation control, and the key points of the technical scheme are that a weighted directed graph model representing the relation of internal components of a power distribution control cabinet is constructed in advance; mapping component fault information predicted by the digital twin system to attributes of corresponding nodes in the weighted directed graph model; identifying a fault path or a fault cluster satisfying a predetermined condition; for each identified fault path or fault cluster, calculating a composite risk index according to the prediction probability of the nodes included in the fault path or fault cluster, the weight of the connection edge and the severity of the influence on the system; and generating early warning information according to the composite risk index. According to the power distribution control cabinet fault response method and device provided by the invention, a potential fault propagation path or a fault aggregation area can be identified based on physical, electrical and influence relationships among components, and a composite risk formed by a plurality of potential fault combinations is quantified, so that a preventive maintenance decision is guided.

The invention relates to an industrial robot health state evaluation method based on multi-modal servo information mapping. The method comprises the following steps: obtaining the influence of a complex service condition on the performance of an industrial robot and a degradation mechanism; health perception features are extracted from multi-mode servo information collected in the operation process of the industrial robot; according to the collected health perception characteristics, a health perception model of the industrial robot under the complex working condition is established; an incremental learning model is established, a degradation model is obtained along with continuous addition, continuous learning and updating of new data, failure time distribution of the degradation model is predicted, decision support is provided for maintenance of industrial robot equipment, and a multi-modal servo information mapping model is constructed by deeply analyzing a performance degradation mechanism of an industrial robot under complex working conditions. And accurate sensing of the health state of the robot is realized. And a self-supervised contrast representation learning theory is utilized to solve the problem of fault sample deficiency, and the accuracy of health perception is improved. Based on an incremental learning theory of multi-modal servo information, an autonomous diagnosis model is established, and rapid diagnosis and performance degradation prediction of a new fault are realized.

An apparatus may include a receiver configured to receive a reference signal using a channel, a transmitter configured to transmit a representation relating to the channel, and a processing circuit configured to determine channel information based on the reference signal, generate, using a model, the representation based on the channel information, and transfer, using the receiver or the transmitter, model information to specify the model. The model information may include an identifier for the model. The model information may include structure information for the model. The model information may include information about a type of input for the model. The model information may include information about a format of input for the model. The model information may include mapping information for mapping channel information to an input of the model. The mapping information may include information for a first subband, and information for a second subband.

The invention relates to a component memory leak detection method and device, computer equipment and a storage medium. The method comprises the following steps: when a component creation event of a to-be-detected component is detected, generating a first heap snapshot corresponding to the component creation event of the to-be-detected component, and when a component destruction event of the to-be-detected component is detected, generating a second heap snapshot corresponding to the component destruction event of the to-be-detected component; analyzing the first heap snapshot and the second heap snapshot, and determining target structured data; component instance nodes are determined, and an information mapping table between node unique identifiers and node information of the component instance nodes is constructed; determining candidate memory leak components according to the information mapping table; and determining a target memory leak component from the candidate memory leak components according to the component-created document object model and the component-destroyed document object model of the candidate memory leak components. And the identification precision of the component memory leak scene is improved.

A user equipment maps a high priority hybrid automatic repeat request-acknowledgment / negative acknowledgment (HARQ-ACK / NACK) information to one or more resource elements (REs), and maps one or more of a low priority HARQ-ACK / NACK information, channel state information (CSI), or uplink-shared channel (UL-SCH) data to REs while rate matching around the mapped high priority HARQ-ACK / NACK REs. A network entity receives an uplink transmission, including high and low priority HARQ-ACK / NACK information, CSI, and UL-SCH data mapped to high and low priority HARQ-ACK / NACK REs, CSI REs, and UL-SCH REs, respectively. The low priority HARQ-ACK / NACK REs, the CSI REs, and the UL-SCH REs are rate matched around the high priority HARQ-ACK / N ACK REs. The network entity demaps and decodes the REs of the high and low priority HARQ-ACK / NACK, the CSI, and UL-SCH to obtain the high and low priority HARQ-ACK / NACK information, CSI, and UL-SCH data.

The invention belongs to the technical field of communication, and particularly relates to a high-robustness multi-channel frequency shift Chirp modulation signal generation method and system for a time-frequency doubly selective channel. The method comprises the following steps of: 1, calculating robust code digits based on statistical characteristics of time delay and Doppler frequency shift of an ionized layer channel; 2, based on the number of robust code bits in the step 1, setting an address code, and realizing RO-MFSCM signal mapping of binary information bits; 3, modulating and transmitting the RO-MFSCM signal based on the information mapping in the step 2, thereby realizing the transmitting process of the RO-MFSCM signal; step 4, based on the emission signal in the step 3 and the robust code digit in the step 1, the receiver carries out robust domain energy aggregation on the RO-MFSCM signal; and step 5, based on the multi-channel robust domain energy aggregation signal in the step 4, adopting a multi-channel parallel demodulation algorithm and de-mapping to realize the receiving process of the RO-MFSCM signal under the time-frequency doubly selective channel. The method aims at the transmission fading problem of the FSCM signal in the ionosphere time-frequency doubly selective channel.

The invention provides a server fault prediction method, device and equipment based on multiple modes, which are applied to the technical field of fault prediction, and the method comprises the following steps: collecting multi-mode data of a node server; the multi-modal data includes at least two of thermograms, system logs, GPU utilization, power consumption, temperature, fan speed and fan audio. And respectively extracting a modal feature corresponding to each modal from the multi-modal data. And fusing modal features of all modals in the multi-modal data, and predicting fault information of the node server. And mapping the fault information to the thermogram to obtain a fault risk map of the node server. The fault risk map is used for displaying the fault information in the thermogram in an overlapping manner. The problem that a traditional fault prediction method based on a single data source is difficult to discover hidden problems generated by a server, so that the fault of the server cannot be predicted in time can be solved.

The invention relates to the technical field of path planning, in particular to a pesticide spraying robot positioning method and system based on graph neural network multi-source fusion. Performing data preprocessing based on the acquired multi-source sensor information; graph node multi-modal data embedding is carried out on the preprocessed information based on perception information mapping; a multi-modal space-time diagram structure is built based on graph node multi-modal data embedding; performing graph feature propagation and fusion based on space-time attention weighting; and carrying out positioning calculation and path decision on the fused features based on spatial-temporal feature constraints. According to the method, a sensor observation graph structure is constructed, multi-source information such as GPS, IMU, vision, radar and the like is modeled in a node form, and nonlinear feature fusion is realized through graph convolution and an attention mechanism.

The invention relates to the technical field of electromagnetic metasurfaces and bionic computing, and discloses a bionic information processing method and system based on an electromagnetic metasurface. The method comprises the following steps: S1, mapping DNA sequence information into a multi-dimensional coding state of the bionic metasurface information processing unit in an electromagnetic adjustable parameter space; s2, realizing co-evolution of the multi-dimensional coding state in space, frequency, phase and amplitude dimensions by dynamically regulating and controlling electromagnetic response parameters of the bionic metasurface information processing unit; and S3, using propagation and interference of electromagnetic waves in the diffraction neural network and a near-field coupling effect between the bionic metasurface information processing units to complete copying, logical operation and information read-write operation of the DNA sequence information. The functions of DNA coding, copying, logic calculation, information reading and writing and the like are uniformly mapped into the programmable electromagnetic metasurface platform, and cooperative processing of information in the aspects of space, electromagnetism and algorithm is achieved.

The invention provides a crime category division method and system suitable for a large model, relates to a data processing technology, converts unstructured data into structured information through multi-modal evidence fusion and intelligent analysis, can quickly extract key elements of a case, and improves information processing efficiency. According to the scheme, the structured information is mapped to the virtual scene to generate video stream data, and key information of different subjects is visually displayed. By constructing structure tree data, key information of different subjects can be sorted and displayed hierarchically, and third-party data is introduced to calibrate event nodes. Compared with a traditional method, automatic processing of the case data can be achieved, and the data processing efficiency is improved.

The invention discloses a document revision method, a document revision device and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: firstly, acquiring a reference document and a to-be-revised document in a revision mode; and analyzing the reference document, and extracting structured revision information corresponding to the reference revision operation trace. And analyzing the to-be-revised document to generate structured document information containing target content and target format information. And then, generating a cue word based on the semantic intention of the structured revision information, and inputting the cue word and the structured document information into the target model to obtain target revision information. And finally, mapping the target revision information to the to-be-revised document, and generating a target document with a target revision operation trace. According to the document revision method, the normalization and accuracy of the revision result can be ensured, the manual intervention cost is reduced, and format errors and semantic errors are reduced.

The invention discloses a scene intelligent extraction method based on L4-level automatic driving minibus road test data, and the method comprises the steps: collecting environment data and vehicle dynamic data, and carrying out the preprocessing, and obtaining time series data; constructing a DSFEM network, inputting time sequence data for training, and constructing a self-supervised loss function to update parameters of the DSFEM network to obtain time sequence features; clustering the time sequence features through a K-means clustering algorithm to obtain clustered scene features; constructing a manual annotation scene library, and calculating the similarity between the scene features to be stored and the behavior features of the existing scenes in the manual annotation scene library; an existing scene with the highest similarity is matched for the scene features, and manual annotation information corresponding to the existing scene is mapped into the scene features, so that scene automatic extraction and manual annotation scene library updating are realized; according to the method, the efficiency is remarkably improved in the aspect of scene generation, the reasonability and the coverage range of a scene library are ensured, and reliable support is provided for testing and evaluation of an automatic driving minibus.

The application relates to a dexterous hand self-adaptive grasping method, a dexterous hand control system and a storage medium, the dexterous hand self-adaptive grasping method comprising the following steps: acquiring multi-modal perception data; after processing point cloud data to generate a point cloud global feature vector corresponding to a grasping target, mapping tactile patch information to a dexterous hand workspace to generate a simulated tactile signal; processing the point cloud global feature vector and the simulated tactile signal by using a Glow-CVAE conditional generation model to generate a candidate grasping gesture set comprising joint posture and pose parameters; determining the stability corresponding to each candidate grasping gesture, selecting a target grasping gesture from the candidate grasping gesture set according to the stability, and grasping the grasping target by using the target grasping gesture. Through the application, the problem that the adaptability to special-shaped parts and flexible objects is limited and the grasping stability is not high in the related art is solved, and the beneficial effects of high adaptability and stability of grasping diversified articles in a complex scene are achieved.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a wireless communication system and, more particularly, to a method and a device capable of performing same, in which a terminal: transmits, to a base station, first capability information including a first indicator indicating that the terminal is capable of receiving and applying radio resource control (RRC) signaling in which multiple pieces of reporting configuration information may be mapped to a single measurement ID; receives, from the base station, a first RRC message including first configuration information in which multiple pieces of reporting configuration information are mapped to a single measurement ID; determines whether multiple reporting conditions corresponding to the multiple pieces of reporting configuration information are satisfied; and transmits a measurement report message to the base station if it is determined that the multiple reporting conditions are satisfied.

The invention provides a ship plate part contour visual detection and polishing trajectory planning method, which comprises the following steps: obtaining a depth map of a ship part, the depth map comprising the overall contour and spatial height information of the part; extracting an actual contour of the ship part based on the depth map to obtain an actual contour point set of the part; matching the actual contour point set of the part with parts in a template library to complete part identification and pose registration; and according to the recognition result, the polishing edge information of the corresponding part template is called from a template library, the polishing edge information is mapped to the actual part contour point set, an actual polishing edge point set is determined, and a polishing track is planned. The grinding quality problem caused by errors of a model and a real object can be eliminated, the stability of the grinding quality is remarkably improved, the dependence on accurate positioning and a clamp is reduced, the robustness of the system under different working conditions is enhanced, the tool cost is reduced, and the intelligence of the system is improved.

The invention relates to the technical field of wafer pollution analysis, and discloses a wafer surface pollution analysis method, device and equipment, and the method comprises the steps: carrying out the multi-source detection data collection of the surface of a wafer through an ultraviolet module, a terahertz module and a microwave module, carrying out the information mapping of the multi-source data, constructing a pollution feature space, applying environment disturbance, and collecting disturbance data; according to the method, wafer surface pollution is identified, pollution distribution is verified, cleaning adaptability is analyzed, multi-dimensional cleaning strategy analysis is carried out based on pollution characteristic distribution, an optimal cleaning scheme is generated, and the method is beneficial for achieving accurate identification and dynamic evaluation of wafer surface pollution, improving adaptability and scientificity of the pollution cleaning scheme, optimizing the cleaning effect and reducing cost. The manufacturing yield and stability are enhanced, and the problem that the pollution distribution condition of the wafer surface is difficult to detect in a single identification mode in the prior art is solved.

The invention relates to a display screen testing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: receiving a test instruction for a touch channel of a display screen; determining a test channel of at least one test board card corresponding to the touch channel of the display screen; wherein an information mapping relationship exists between a touch channel of the display screen and a test channel of at least one test board card, the information mapping relationship is determined based on board card combination information, and the board card combination information comprises information of at least one test board card corresponding to the display screen; and based on the test channel of the at least one test board card, converting the test instruction into a test signal, and sending the test signal to a corresponding touch channel. The expansion capability of the test board card can be improved.

The invention provides an encrypted traffic management and control method, system and terminal based on eBPF and HTTPS, belongs to the technical field of data encryption, and constructs a one-to-many management and control and one-to-one execution architecture. During starting, the eBPF module is initialized, handshake messages are captured through multiple probes and a flow filter, and data are obtained and blocked. A strategy synchronization and instruction transmission channel is established, and an Agent terminal obtains a domain name strategy, sensitive word data and the like from a server and synchronizes the domain name strategy, the sensitive word data and the like to an eBPF module. And the eBPF module collects a connection information mapping relation according to a strategy and cleans the connection information mapping relation when the connection information is disconnected. And the HTTPS connection is audited or blocked in combination with the strategy and the collected information. The audit result is a log and reported to the server for storage. And through a one-to-many management and control and one-to-one execution architecture, the expansibility and the execution efficiency of the system are improved. And comprehensive data capture and accurate blocking are realized by multiple probes and a flow filter. A strategy synchronization mechanism ensures timely updating of the strategy, auditing and blocking functions guarantee network security, and log reporting facilitates subsequent auditing analysis.

The invention designs a decision result interpretation system and method based on a financial risk control user portrait, and the method comprises the steps: collecting user data, and constructing a user portrait; inputting the preprocessed user portrait data and other risk indexes into a decision model, outputting a risk assessment result, and storing the risk assessment result; in combination with key information in the user portrait data, mapping a relationship between a risk assessment result and an input feature, and using an explanatory algorithm to explain the risk decision model; the decision interpretation result is displayed through a chart, a flow chart and a key index mode; and according to the user feedback and the interpretation effect, optimizing the interpretation algorithm and the risk decision model to form a closed-loop feedback mechanism. According to the method, the key information is extracted by using the user portrait, the key information and the important variables in the decision model are mapped to form a decision result explanation basis, and an explanatory algorithm is introduced to explain the black box risk decision model, so that the transparency of the decision result is realized.

Systems and methods are provided for implementing an improve mapping process to help identify disparate information associated with a software application in separately stored files. In this way, the information may remain separate and distinct, often times assigned to different teams, devices, and locations, and still be used to create a software application from the disparate information. For example, the system can generate a graph that comprises nodes that identify various information / functions from disparate data sources and edges that identify relationships between this information. Using the graph, the system may receive a query from a user device and generate a response to the query, where the graph can help narrow the search space in determining the response to the query.

The invention provides a multi-service system integrated management method and system based on a unified data base, and the method comprises the steps: firstly obtaining a service demand description set of a multi-service system, mapping the service demand description set with data source capability information of the unified data base, and obtaining a service demand mapping result; constructing an integrated execution rule of the multi-service system based on the service demand mapping result, issuing the integrated execution rule to the service processing module of each service system, and triggering service processing to obtain a service collaborative execution result; and finally, generating an integrated management instruction according to a business collaborative execution result, and sending the integrated management instruction to a unified data base management module and business processing modules of the business systems to execute integrated optimization operation, so that integrated management of the multi-business systems in the ecological environment monitoring field can be efficiently realized.

The invention provides a remote first-aid cooperation platform construction method and system based on AI decision making. Belongs to the technical field of intelligent first-aid. The method comprises the following steps: selecting a communication frequency band; satellite communication data, sensor data and medical database information are mapped to a unified space-time coordinate system, a dynamic rescue scene model is constructed based on a knowledge graph, and key information is projected in real time through an AR interface; and a rescue scheme is generated and optimized in real time, and training courses are personalized. The switching interruption time is compressed from a millisecond level to a microsecond level through a pre-switching and conflict avoidance mechanism; data classification and distribution based on machine learning can maximize the transmission reliability of key data.