514 results about "Information mapping" patented technology

The invention relates to the technical field of data processing, and discloses a double-end fault positioning method based on signal enhancement, which is used for improving the efficiency of double-end fault positioning based on signal enhancement. The method comprises the following steps: acquiring and preprocessing electrical signals at two ends of a power transmission line to obtain preprocessed synchronous electrical signals; performing adaptive enhancement processing on the preprocessed synchronous electrical signal to obtain an enhanced fault feature signal; performing time-frequency analysis and feature extraction on the enhanced fault feature signal to obtain a fault feature vector and a key parameter; performing machine learning analysis on the fault feature vectors and the key parameters to obtain a fault type identification result and initial fault position estimation; performing multi-algorithm fusion analysis on the preliminary fault position estimation to obtain an accurate fault position coordinate; and performing geographic information mapping and field verification on the accurate fault position coordinates to obtain a fault positioning result and system optimization data.

Systems, methods, and computer-readable for endpoint integration and mapping are disclosed. A system can include one or more processing circuits configured to identify endpoints and access information. The processing circuits can generate an object package corresponding to the endpoint by initiating the object package based on an identifier corresponding to an endpoint type of which the object package is structured and mapping the access information to an access scheme corresponding to formatted requests to access the endpoints for protection data. The processing circuits can perform an endpoint request by invoking the object package using at least one formatted request and receiving output data with a response to the endpoint request by a DCDSI system. The processing circuits can further update a distributed ledger or data source based on the output data.

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 underground drainage pipeline monitoring and hidden danger analysis, and provides an underground drainage pipeline hidden danger data analysis method based on big data, which comprises the following steps: acquiring data such as flow, water level, pressure and pipeline structure by using a multi-source sensor to form an original monitoring data set; preprocessing the data, extracting time domain, frequency domain and spatial topological features, and constructing a multi-dimensional feature vector; and inputting the feature vectors into a pre-trained hidden danger prediction model, and outputting hidden danger types and position coordinates. And constructing a spatio-temporal data analysis model based on the hidden danger position, generating a spatio-temporal correlation feature matrix, and performing dynamic risk assessment to obtain hidden danger development trend parameters. And the hidden danger information is mapped to a geographic information system, a three-dimensional visual analysis result is generated, and a graded early warning instruction is transmitted to a drainage pipe network operation and maintenance management system through a communication interface. The operation and maintenance management efficiency of the drainage pipeline can be improved, the hidden danger checking cost is reduced, and the safety and reliability of the drainage system are enhanced.

The invention discloses an industrial pump fault intelligent diagnosis method based on a GraphRAG large model, and the method comprises the following steps: collecting fault records and vibration signals of an industrial pump, and constructing a fault and characteristic spectrum; obtaining a fault type of the feature parameters by using a convolutional neural network, and generating a fusion knowledge graph in combination with a Word2Vec model and cosine similarity; the method comprises the following steps of: inputting map data into an LLM large model, and optimizing a prompt template by using a prompttune function; extracting node information of entities, communities and the like by using a GraphRAG index construction module; extracting related entities in a user request through a convolutional neural network or LLM, and matching the related entities with the map nodes to obtain information; and mapping the information to index data, and outputting a diagnosis report by utilizing a retrieval generation module. Through the GraphRAG technology, the fault diagnosis precision and the maintenance decision-making efficiency are improved, and the industrial production stability and safety are enhanced.

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 embodiment of the invention provides an information mapping method for intelligent perception information in a virtual space, perception data is acquired by deploying a multi-sensor array, data features are extracted based on a multi-scale feature pyramid and an attention mechanism, and a space mapping relation is established by using self-supervised learning and geometric constraints. Local data blocks are organized by adopting a hierarchical index tree based on a union search set, an adaptive calculation flow graph is constructed to realize efficient mapping, and data transmission is optimized in combination with predictive caching and a differential updating strategy. And meanwhile, parallel processing of incremental mapping is realized through a pipeline data channel, and the data synchronization efficiency is ensured by a dynamic scheduling mechanism based on load prediction. The method effectively solves the problem of performance bottleneck when a traditional mapping scheme processes large-scale multi-source sensing data.

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.

A system and method of acquiring and verifying information is provided. The system comprises a processor, and a memory comprising a sequence of instructions which when executed by the processor configure the processor to perform the method. The method comprises acquiring data from a data source associated with an author of the data, normalizing the acquired data, determining, by the processor, an identity of the author of the data, classifying the normalized data based on the identity and acquired metadata, and storing in a memory the normalized data. Normalizing the acquired data comprises parsing the acquired data for meaningful information, extracting metadata from the acquired data, and mapping the parsed information to internal data structures.

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 discloses a method and device for providing insurance consultation service, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: performing semantic analysis on a consultation question text to obtain key text information; mapping the key text information to a pre-constructed insurance domain knowledge graph to obtain an initial query node set; searching associated knowledge nodes directly or indirectly connected with each initial query node in an insurance domain knowledge graph; calculating relevancy scores among the associated knowledge nodes, obtaining the knowledge nodes with scores ranked in the first N positions according to the relevancy scores, and constructing a knowledge sub-graph based on the first N positions of knowledge nodes; the knowledge sub-graph is expanded and supplemented; and converting the extended knowledge sub-graph into an answer text in a natural language form. The invention further relates to the technical field of block chains, and the problem text is stored on a block chain node. According to the invention, comprehensive knowledge related to the question can be provided, and the accuracy and efficiency of consultation service are improved.

A method and an apparatus for 4D road scene annotation based on time series data includes: obtaining point cloud data and multi-view 2D image data of a same road scene at a same time series, as well as a rotation matrix R and a translation vector t obtained through sensors; merging all the point cloud data into a combined point cloud using the rotation matrix R and the translation vector t; performing dynamic and static object annotation and lane line annotation on the combined point cloud in the 4D road scene; and mapping annotation information in the 4D road scene to all the 2D image data at the time series based on camera parameter information, to obtain annotation information on 2D images. The method fully utilizes time series information, avoiding the loss of important information.

A method includes determining, by a user device in a wireless network, at least two physical uplink shared channel (PUSCH) allocations overlapping in time domain and corresponding to at least two PUSCH transmissions for use in transmitting at least one uplink control information (UCI); and mapping, by the user device, the at least one UCI to at least one of the following: one of the at least two PUSCH allocations; separately to each of the at least two PUSCH allocations; or across the at least two PUSCH allocations; wherein the mapping is based on at least one of: one or more configured or pre-defined rules, or at least one an indication received by the user device from a network node, and wherein each of the at least two PUSCH allocations includes resources allocated to the user device for a PUSCH transmission.

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 a knowledge graph construction method and device, equipment and a storage medium. The knowledge graph construction method comprises the steps of obtaining a to-be-processed target text; extracting first text information from the target text according to preset first prompt information; wherein the first text information represents fact information of a plurality of entities in the target text; semantic recognition is conducted on the first text information, and the content type of the target text is determined; defining a plurality of nodes in a knowledge graph and an association relationship between at least two nodes according to the content type; and mapping the first text information into the knowledge graph to obtain a target knowledge graph of the target text. According to the method provided by the invention, the integrity and accuracy of information extraction are remarkably improved, meanwhile, the high-quality knowledge graph conforming to the text content type is constructed, and the precision and practicability of text analysis are improved.

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 relates to the technical field of data processing, in particular to a geographic information surveying and mapping data anomaly detection method and system based on data analysis, and the method comprises the steps: obtaining a deformation data sequence of a target monitoring point, calculating the edge degree of each piece of data, and screening edge points, selecting a point closest to the target edge point as a target point, screening an edge point of which the optimization degree meets a preset condition from the remaining edge points, connecting the edge point with the target point, taking a connection point as a new target point, repeating the connection process based on the new target point until a termination condition is met, and obtaining an edge; and taking the mean value of the deformation data of all the edge points in each edge as a clustering center of the corresponding edge, and clustering all the data according to the distance from each data to the clustering center, so as to monitor the deformation abnormity of the target monitoring point based on the abnormal degree of the obtained clustering cluster. According to the invention, accurate monitoring of abnormal deformation of the monitoring point can be realized.

Some embodiments relate to receiving a natural language question for a study, such as a retrospective study. Some embodiments include formatting the question according to a defined question format. Some embodiments include utilizing a phenotype library to map information provided in the question to specific medical codings. Some embodiments include retrieving patient health record data and performing automated statistical analysis. Some embodiments include summarizing study data. Some embodiments include identifying and summarizing relevant published articles.

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 medical knowledge base semantic search method and system, a medium and equipment. The method comprises the steps of obtaining a natural language query text input by a user; identifying the natural language query text to obtain key information; mapping the key information to corresponding entity nodes and relationships thereof in a knowledge graph to obtain a mapping result; the knowledge graph is constructed based on medical knowledge; and sorting the mapping results, and obtaining a search result according to the sorting. According to the method, the key information in the text is obtained by recognizing the natural language query text input by the user, so that compared with an existing search engine, the natural language query text of the user is analyzed more thoroughly, and the search intention of the user can be understood more deeply. Furthermore, according to the application, the mapping results are sorted, and the mapping results with low association degree with the search intention of the user are excluded, so that the accuracy of the search results is improved.

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 3D development, and discloses a Three.js-based 3D scene low-code construction method and scene construction platform, and the method comprises the steps: a client obtains the operation information of a user, and sends the operation information to a server; the server side is used for mapping the operation information into the structured JSON Schema, updating the JSON Schema on the basis of the operation information, and carrying out persistent storage on the JSON Schema; and the server sends the JSON Schema corresponding to the preview request to the client, so that the client performs real-time rendering. According to the method provided by the embodiment of the invention, the graphical operation interface is provided, so that non-professionals can easily construct the 3D scene without mastering complex programming or graphical knowledge, and therefore, the user-friendly degree of the development process is improved, and the 3D scene construction difficulty is reduced.

The invention discloses a face generation method based on a key point guide text graph diffusion model, which comprises the following steps of: firstly, collecting data information, forming a training data pair by a face image, text description information and face key points, encoding the text description information by using a text encoder and converting the text description information into an embedded vector, mapping the face key point image information to an implicit space by using an implicit space encoder; splicing the implicit spatial tensor of the Gaussian noise map and the implicit spatial tensor of the face key point image information; establishing and training an implicit diffusion model, continuously iteratively denoising the spliced implicit space tensor to obtain a face image corresponding to the key point and the text description information, and distributing additional training attention for the key point condition by using a denoising loss module under the guidance of a thermodynamic diagram, and a denoising result in the implicit space is mapped to a pixel space by using an implicit space decoder, and finally a face image with high generation quality and high consistency of image and text description information is reconstructed.