61 results about "Link analysis" patented technology

The invention discloses a six-dimensional judgment intelligent operation and maintenance diagnosis method and system for an oil field gathering and transportation station yard, and belongs to the technical field of oil field gathering and transportation intelligent operation and maintenance. Comprising a data acquisition and single point location model establishment module, a six-dimensional analysis and judgment module, a six-dimensional fusion processing module and a feedback updating module, comprising flow, pressure, temperature, liquid level, water content, pump frequency / current, valve position / state position, furnace gas amount / air door and station control alarm position data in an oil field gathering and transportation station. According to the six-dimensional judgment intelligent operation and maintenance diagnosis method and system for the oil field gathering and transportation station, by integrating multi-link analysis, dynamic threshold adjustment, a closed-loop optimization mechanism and safety guarantee design, the problems that current diagnosis is poor in stability, insufficient in precision, weak in decision support and the like are solved; and reliable technical support is provided for efficient and stable operation of an oil field gathering and transportation station.

The present disclosure relates to a network security risk identification method and apparatus, a medium, an electronic device, and a program product. The method comprises: acquiring a target network topology map based on a target object, the target network topology map being used for representing the relationship between the target object and an asset related to the target object; and performing attack link analysis on the target network topology map on the basis of a service attribute and a security feature of the asset in the target network topology map, to identify a security risk in the target network topology map. In this way, a network topology map can be used, the risk is combined with the service attribute and security characteristic of the asset in the network topology map, and attack link analysis is performed on the basis of an attacker's perspective, so that a key risk can be identified more accurately, the number of service repair risks can be reduced, the risk that is most likely to cause asset damage can be focused on, the continuity of a key service process can be ensured, and service interruption caused by a security problem can be reduced.

The invention relates to the technical field of data analysis and decision optimization. The real-time contact collaborative decision-making optimization method based on behavior link analysis comprises the steps that attribution analysis is conducted on a user behavior sequence through a multi-task learning model, a contact attribution matrix is obtained, the user behavior sequence and the contact attribution matrix are jointly input into a sequence prediction model, a contact candidate set is output, and a contact collaborative decision-making result is obtained. And calculating a user experience quality score corresponding to each contact based on the contact candidate set, constructing a multi-factor priority queue according to the user experience quality scores, obtaining a sorting result corresponding to the contact candidate set, determining a target contact from the contact candidate set based on the sorting result, and generating a contact execution instruction according to the target contact. The multi-contact collaborative decision-making method has the effect of realizing efficient collaborative decision-making among multiple contacts.

The invention provides an elastic monitoring alarm method and system based on multistage cooperative verification. The method comprises the step of remarkably improving the alarm accuracy through a three-level verification mechanism. The first-stage verification adopts intelligent anomaly detection, compares a current index with a historical baseline, and identifies a preliminary anomaly; in the second-stage verification, association index analysis is introduced, and pseudo anomalies caused by normal business fluctuation are filtered; and the third-stage verification performs cross-customer collaborative analysis to distinguish individual anomaly from global events. In addition, fault root causes are automatically positioned through dependency link analysis, and structured alarm information containing causes, confidence coefficients and processing suggestions is generated. And a closed-loop learning mechanism is established, operation and maintenance feedback is continuously collected, and alarm parameters are automatically adjusted by adopting Bayesian optimization. According to the method, the false alarm rate is reduced, the root cause positioning accuracy is improved, the average repair time is shortened, and the IT operation and maintenance efficiency is remarkably improved.

The invention provides a shared link generation method and device, an analysis method and device, equipment and a storage medium, and relates to the technical field of data processing, in particular to the technical field of personal cloud and file sharing. The specific implementation scheme is as follows: acquiring a user identity identifier of a sharing user initiating a sharing request; generating a unique link identifier for a sharing link corresponding to the sharing request; constructing a data load based on the link unique identifier and the user identity identifier; a path portion of the shared link is generated based on the data load. According to the scheme provided by the invention, the problem that link positioning is difficult when a sharer and a visitor belong to different areas can be solved.

The invention discloses a video lag diagnosis method and device, equipment, a storage medium and a program product. The method comprises the following steps: associating user side data with network side data through a pre-constructed global index under the condition that video lagging occurs in a target video to obtain a target data set; performing link analysis on the target data set to obtain at least one link transmission parameter; and performing jamming analysis on the link transmission parameters by using a preset target model rule to obtain a target jamming factor. And associating the user side data with the network side data through a global index, finding out link transmission parameters causing the lag, and analyzing a root factor causing the video lag in the link transmission parameters through holographic diagnosis as a target lag factor. According to the embodiment of the invention, the method can effectively diagnose the root cause of lagging, can judge the root cause through the automatic correlation extraction and the target model rule, and achieves the technical effect of improving the analysis efficiency and accuracy.

The application discloses a kind of comprehensive data analysis system and method applied to intelligent audit, it is related to big data analysis technical field, the present application is by obtaining audit object whole-link business data, constructs full audit data set by standardization processing;Extract static and dynamic risk characteristics, build the comprehensive rule system containing static and dynamic required verification data type library;Analysis single risk and associated business link causality, generate audit associated link mapping table and ordered risk set;Calculate corresponding risk determination threshold;Real-time monitoring audit business based on threshold, data characteristics are intercepted by sliding window, after audit cycle ends, iteration updates threshold.The system includes data full collection, audit rule construction, associated link analysis, determination threshold calculation, audit threshold iteration module and subordinate unit.The present application realizes full data coverage and real-time monitoring, accurately traces risk transmission, improves the confidence and timeliness of audit compliance judgment.

The application provides a data blood relationship full-link analysis method based on a graph technology, characterized in that the data blood relationship full-link analysis method based on the graph technology comprises: converting data in a data source into graph data according to a preset structure, wherein the graph data comprises at least one vertex, and the vertex comprises a vertex parameter and an edge parameter; obtaining an analysis result according to a preset algorithm based on the vertex parameter and the edge parameter; and forming an analysis report according to the analysis result. The preset algorithm involved includes but is not limited to a minimum spanning tree algorithm, a DFS algorithm, a degree centrality algorithm, a Louvain algorithm and the like. In addition, the application further provides a system and a computer device. The technical scheme of the application effectively solves the problem that the existing data blood relationship analysis cannot be intelligently and efficiently analyzed.

The invention discloses a network security system driven by artificial intelligence. The network security system is designed to detect, analyze and relieve wide network threats in real time. The network security system comprises a data receiving module which is responsible for gathering diversified data types, including images from various sources, text content and URLs (Uniform Resource Locator). The AI analysis module processes the received data using image recognition, optical character recognition, and semantic analysis, and identifies potential threats, such as phishing attacks, fraud, and propagation of malicious content. And a link analysis module evaluates the security of the URL through the dynamic white list and black list, and performs AI-based evaluation on unknown links. The audio interface expands threat detection to audio-based communication, integrates voice-to-text and text-to-voice functions, and enables the system to analyze fraud or malicious intentions that may exist in a telephone call.

The invention discloses a data consanguinity link determination method and device based on a large model, relates to the technical field of big data processing, and mainly aims to solve the problems of poor accuracy and low efficiency of existing data consanguinity link generation. Comprising the steps that a knowledge base is called, and the knowledge base comprises technical knowledge information and business knowledge information; a knowledge object is obtained from the knowledge base according to a preset verification strategy, the knowledge object is analyzed based on a large model, a blood relationship link analysis result is obtained, and the knowledge object is at least one piece of knowledge key information formed based on the technical knowledge and / or the business knowledge information; and performing service verification on the blood relationship link analysis result, and generating a data blood relationship link based on a verification result.

The invention discloses a power grid network attack countering method and system based on flexible gray level self-adaption, and the method comprises the steps: obtaining the multi-level gray point information of a power grid, carrying out the abnormal flow analysis, carrying out the shadow asset recognition processing based on an analysis result, and obtaining the shadow asset recognition data, obtaining known attack data of the power grid, carrying out attack mode analysis, constructing an attack link graph of a known attack mode to obtain an attack link analysis model, recognizing an abnormal access behavior corresponding to shadow asset recognition data through the attack link analysis model, carrying out target asset threat analysis to obtain asset threat analysis data, and sending the asset threat analysis data to the power grid. And attacker positioning is carried out according to the asset threat data, a corresponding attack countering strategy is called in combination with the known attack means similarity to carry out attack source blocking processing on the positioned attacker, and power grid network attack countering data is obtained. The power grid attack is accurately traced and attack countering is carried out from the source, so that data support of attack countering is provided for operation safety of the power grid.

The invention provides a notebook adaptation degree detection method and system for software ecology, and the method comprises the steps: firstly constructing a software ecology adaptation demand three-dimensional time sequence evolution graph, extracting the demand intensity and other data, and building a notebook hardware capability elastic mapping table; the method comprises the following steps: calling mapping table parameters of notebook computer hardware capability elastic mapping to construct a dynamic coupling space, simulating a coupling process to generate adaptive coupling nodes and links, analyzing and adjusting mapping relation parameters based on the links, and obtaining an optimized mapping table through iterative optimization; and a collaborative adaptation scheme is constructed and converted into an adjustment instruction to be sent to the notebook computer system to execute dynamic adaptation adjustment, so that the adaptation degree of the notebook computer and software ecology is improved, and the notebook computer performance and the user experience are improved.

This invention discloses a storage device operation record analysis method based on data traceability, relating to the field of data processing technology. The method includes: acquiring the serial links corresponding to four types of records, as well as the main characteristics and associated characteristics of the serial links; constructing a link analysis model and a model analysis method; using the link analysis model to acquire fault characteristics, and using the fault characteristics as the analysis result of the operation records. This invention addresses the problem in existing storage device operation record analysis methods that cannot effectively serialize different record types in storage operation records, leading to an inability to effectively locate the root cause of faults after acquiring faults in the operation records, and an inability to label operation records associated with faults, resulting in low fault diagnosis efficiency and lingering security risks after diagnosis.

This invention discloses a method, apparatus, device, and storage medium for processing long data links in a data lake. The method includes: traversing the end jobs in the data lake through existing table dependencies to obtain the corresponding long links and their lengths; extracting jobs from the data sets within the long links based on the link lengths to obtain the occurrence frequency and average depth of the long links; locating key points in the long links based on the occurrence frequency and average depth to obtain the key upstream nodes in the long links; and visualizing the long links based on the key upstream nodes and the data sets to obtain a link visualization diagram. Because this invention locates the key upstream nodes of long data links by calculating the occurrence frequency and average depth of the long links within the data lake, and provides a visual representation of each data cluster within the long links, it facilitates database developers in analyzing the data flow in the long links, thereby improving the efficiency of long link analysis.

The embodiment of the invention provides a multi-camera preview and control method and system, and belongs to the technical field of image acquisition and embedded control. The method comprises the following steps: acquiring equipment identification information of multi-camera equipment and link state data of a multi-camera link; constructing multi-camera parameter configuration data based on the equipment identification information and the link state data; establishing a multi-camera image acquisition pipeline based on the multi-camera parameter configuration data, and generating preview image data for representing real-time preview content of each camera; and generating a control instruction corresponding to each camera working mode based on the preview image data, and outputting the control instruction to control the running state of the multi-camera system. According to the scheme of the invention, a unified processing chain from camera identification, link analysis and parameter configuration to acquisition and control is constructed, so that preview, configuration and operation adjustment of multiple cameras are kept consistent and traceable under the same parameter system.

The embodiment of the invention discloses a call link analysis method and a storage medium. The method comprises the following steps: acquiring a calling link, and for each calling event in the calling link, obtaining a feature vector corresponding to the calling event, so as to construct a time sequence according to all the obtained feature vectors; inputting the time sequence into a long short-term memory network, and obtaining a calling state corresponding to each moment in the time sequence according to an output result of the long short-term memory network; obtaining an attention weight corresponding to each moment according to each calling state; and obtaining an analysis result of the calling link according to each calling state and each attention weight. According to the technical scheme provided by the embodiment of the invention, the calling link can be accurately analyzed.

The application discloses a kind of six-dimensional judgment intelligent operation and maintenance diagnosis methods and systems for oilfield gathering and transportation station, belong to oilfield gathering and transportation intelligent operation and maintenance technical field, including data acquisition and single point position model establishment module, six-dimensional analysis and determination module, six-dimensional fusion processing module, feedback updating moduleData acquisition and single point position model establishment module, access oilfield gathering and transportation station each sensor multi-source measuring point data, including oilfield gathering and transportation station flow, pressure, temperature, liquid level, water content, pump frequency / current, valve position / state position, furnace gas quantity / air door, station control alarm position data.The application discloses a kind of six-dimensional judgment intelligent operation and maintenance diagnosis methods and systems for oilfield gathering and transportation station, by integrating multi-link analysis, dynamic threshold adjustment, closed-loop optimization mechanism and safety guarantee design, solve current diagnosis poor stability, insufficient precision, decision support weak and other problems, provide reliable technical support for the efficient and stable operation of oilfield gathering and transportation station.

The invention discloses a power line PLC communication adaptive optimization method based on a multi-carrier signal, and relates to the technical field of power line communication optimization, and the method comprises the steps: carrying out fusion alignment processing on an adaptive candidate frequency band set and a power line interference mean value spectrum, generating an interference constraint frequency band vector set, carrying out interference sensing clustering, and generating a clustering optimal carrier group set; executing a dynamic link analysis operation on the path optimization guide set, dynamically constructing a wireless networking forwarding path, and outputting a multi-carrier networking diagram in combination with optimal carrier distribution information matched with each hop link; and extracting a carrier distribution result, link state characteristics and interference association information from the multi-carrier networking diagram, and generating a multi-carrier modulation control parameter set. By constructing the scheduling priority graph based on the signal-to-noise ratio and the interference condition and combining the frequency domain sparsity rule, the adaptive candidate frequency band set is screened out, and efficient screening and utilization of spectrum resources in the interference environment are achieved.

This disclosure provides a method and apparatus for detecting the oil level in a compressor. The method includes: acquiring real-time operating parameters of the compressor and an image of the oil level to be measured; matching the timestamps corresponding to the real-time operating parameters and the image of the oil level to be measured; inputting the real-time operating parameters into an oil level height regression prediction model to output a confidence interval for the oil level height of the compressor; determining all candidate oil level heights of the compressor based on the image of the oil level to be measured using an image algorithm; and determining the current oil level height detection result of the compressor based on the confidence interval and the candidate oil level heights. This disclosure utilizes a joint decision-making mechanism based on multimodal data to achieve linked analysis of the oil level state based on time-series data of real-time operating parameters and oil level image data, thereby fully utilizing multimodal data during compressor operation to infer the oil level state and improving the prediction accuracy of compressor oil level detection.

Methods, systems, and techniques for detecting a cybersecurity breach. The cybersecurity breach may be a synthetic account or an account having been subjected to an account takeover. Electronic account data representative of accounts is obtained in which a first group of the accounts includes accounts flagged as being associated with the breach, and a second group of the accounts includes a remainder of the accounts. The computer system generates from the account data nodes representing the accounts and edges based on account metadata that connect the nodes. The computer system determines, such as by applying a link analysis method to the nodes and edges, a ranking of the accounts of at least part of the second group indicative of a likelihood that those accounts are also associated with the cybersecurity breach. That ranking may be used to identify which of those accounts is also identified with the cybersecurity breach.

The application discloses a webpage link analysis processing method and device, computer equipment and a storage medium, and relates to the technical field of webpage link analysis processing. The method comprises the following steps: receiving a target webpage link, determining a target node from an original node sequence of a flow node layer; when the target node is not an end node, sending the target webpage link to a target routing analysis layer corresponding to the target node; analyzing the target webpage link to obtain a webpage analysis result; when the analysis is successful, sending the target webpage link to a target event distribution layer for processing, and displaying a target interface corresponding to the target webpage link; when the analysis fails, sending an analysis failure identifier to the flow node layer; after receiving the analysis failure identifier, the flow node layer updates the target node according to the original node sequence, and when the new target node is not an end node, repeatedly sends the target webpage link to the target routing analysis layer corresponding to the target node. The method classifies huge processing logic, which is convenient for later maintenance and expansion.

The invention provides a financial business abnormity test method which can be applied to the technical field of financial science and technology. The method comprises the following steps: collecting transaction flow characteristics of a production environment; generating a financial-level disturbance scene description file according to the transaction flow characteristics and a preset scene template library; based on the disturbance scene description file, a financial-level disturbance scene is dynamically injected into a test environment in a non-intrusive mode; after the test is initiated, collecting operation data in the test environment; and carrying out multi-link analysis on the operation data, and carrying out visual display on an analysis result. The invention further provides a financial business exception testing device and equipment, a storage medium and a program product.

This invention discloses a digital twin-based intelligent slip ring health management method and system, relating to the field of electromechanical systems technology. The method includes: acquiring a twin model based on digital twins; acquiring twin simulation parameters and obtaining fault evolution links based on fault simulation results; using link analysis to obtain fault management methods; and performing health management on the intelligent slip ring based on the latest fault management methods corresponding to real-time management faults. This invention addresses the problem that existing intelligent slip ring health management methods cannot analyze fault chains, leading to an inability to effectively predict and manage potential hazards caused by faults. This results in only passive monitoring and post-event remediation of faults, without the ability to proactively predict faults, thus causing false alarms and missed alarms.

The invention relates to the technical field of drug recommendation, in particular to an adverse drug reaction advanced prediction and substitution recommendation system, which comprises a data acquisition module for acquiring patient state data, the patient state data comprises basic information, used drug information, current drug information and latest examination index values; the risk prediction module is used for inputting the collected patient state data into a pre-trained risk prediction model to obtain a medication risk result; if the medication risk exists, inputting the patient state data into a pre-trained adverse reaction causal analysis model to obtain an adverse reaction causal pair, the adverse reaction causal pair comprising causes and results; the alternative link analysis module can generate alternative link analysis information containing scores and calculation modes of all metabolic pathways of all drugs in alternative drug use information, a recommendation basis is clearly presented, medical staff can visually verify risk relevance and alternative rationality, and trust to the system is established.

A computer-implemented network security system processes multi-source data (images, text, and URLs) to detect harmful content and prevent navigation to malicious destinations. An AI analysis module performs image recognition, optical character recognition, and semantic analysis to generate content-level features. A link analysis module parses HTTP headers to identify and record HTTP 3xx redirect responses, reconstructs a complete redirect chain and navigation path, and derives path-level features—including URL entropy, domain age, TLS / SSL certificate validity, and suspicious query parameters. The system fuses the path-level and content-level features to classify the navigation path or compute a risk score, and proactively blocks access when a blocking condition is met. A user interface presents real-time security indicators and warnings. In some embodiments, the system manages dynamic whitelists / blacklists, consults threat-intelligence sources, reports suspicious chains to authorities, and supports family-monitoring and audio-stream analysis.

The invention discloses a hierarchical identification system and method for unstructured document content. The hierarchical identification system comprises a field hierarchical configuration unit, a mark coding and uniqueness maintenance unit, an association storage unit, a link packaging and analyzing unit and a multi-strategy positioning and backspacing retrieval engine. Configuring a field set and a hierarchical relationship according to a scene, setting a field sequence and a separator or a structured coding rule, generating a content identification mark at least containing a FileID and a content unit identification field, performing escape / coding on a field value, and updating the field and / or supplementing Version and a verification field during drifting or conflicting; through mapping indexes and / or metadata, maintaining correspondence between the marks and the content units, embedding the marks into private / universal links, and analyzing and extracting the marks; during positioning, automatic rollback is carried out among step-by-step analysis, index query and link analysis, after page-level convergence is carried out, positioning is completed in combination with offset and feature information approximate retrieval, and DeviceID / User ID cross-environment mapping is supported.

The invention relates to a DDR module closed-loop link analysis method and system based on a large model, and the method comprises the steps: constructing a full-cycle multi-stage database of a DDR module, and the multi-stage database comprises a chip type selection database, a chip test database, a surface mounting database and a finished product module test database; importing the structured parameter data and the unstructured test data in the multi-stage database into a preset large model for training to obtain a trained large model; obtaining a target configuration parameter, and inputting the target configuration parameter into the trained large model for analysis to obtain an optimal configuration scheme; and obtaining analysis verification data corresponding to the optimal configuration scheme, and adjusting the trained large model based on the analysis verification data to update parameters of the trained large model. The method has the effect of improving the accuracy of the configuration strategy.

The invention discloses a heat supply pipeline multi-parameter real-time monitoring system based on the Internet of Things technology, relates to the technical field of heat supply pipeline monitoring, and aims to solve the problems that a heat supply pipeline monitoring mode is single in parameter, high in hysteresis quality and low in fault diagnosis precision. The multi-domain cross-linking analysis module divides independent detection areas based on structure parameters, parameter deviation rates are obtained through isolation analysis, a deviation rate incidence matrix is constructed through cross-linking analysis, a global deviation coefficient is generated, and the co-linking response module generates an action instruction according to a multi-level response threshold value and a global deviation coefficient matching result. And the system is additionally provided with a historical data storage unit, parameter trend prediction and action dynamic optimization threshold value advanced correction are combined, the fault diagnosis precision and the early warning response timeliness are improved through the real-time monitoring process of all-domain multiple parameters of the heat supply pipeline, the operation safety of the heat supply pipe network is guaranteed, and the operation and maintenance efficiency is improved.

The invention relates to the field of data processing, in particular to a method for constructing a traditional Chinese medicine knowledge vector database in combination with a large model, which comprises the following steps: determining whether to perform intelligent auxiliary verification on each newly added entity combination according to an initial auxiliary verification coefficient; during intelligent auxiliary verification, determining to adopt link reference analysis or link extension analysis to perform intelligent auxiliary verification on the auxiliary verification combination according to the link rich index and the link effective verification index; during link reference analysis, determining a verification setting parameter of a verification reference coefficient for each link analysis entity according to the effective link parameter so as to determine an association confidence coefficient; during link extension analysis, determining whether to match an extension verification entity for the auxiliary verification combination according to the association coverage evaluation parameter so as to determine an association confidence coefficient; and determining whether to adjust the association confidence coefficient of each newly added entity combination according to the auxiliary effective coefficient, and determining whether to send confidence early warning information to the user for each newly added entity combination based on the association confidence coefficient. The actual construction efficiency and accuracy of the traditional Chinese medicine knowledge vector database are improved.

The invention discloses a speech airflow pressure signal analysis system. The speech airflow pressure signal analysis system comprises an editing module, a labeling module, a calculation module, a user interaction module and a comparison module. Through a modular system and an automatic processing flow, the analysis efficiency and precision of the speech airflow pressure signal are remarkably improved. The system supports batch analysis of NSP format files and synchronous display of multichannel signals, and the problem of low efficiency of traditional single file processing is solved; an automatic peak-valley value detection and deduplication mechanism is adopted, so that the marking error is effectively reduced, and the data reliability is improved; superposition comparison and linkage analysis of voice, airflow and air pressure signals are realized, and a speech physiological mechanism is visually revealed; the parameter calculation module automatically extracts key indexes such as voice duration, airflow and airflow velocity, and outputs structured data for subsequent statistical application. The system has good compatibility and operability and can be widely applied to the fields of voice research, clinical correction, teaching and the like.