438 results about "Information analysis" patented technology

The invention discloses a document analysis and query method based on a knowledge graph, and the method comprises the steps: carrying out the part-of-speech tagging of a received to-be-analyzed document, and obtaining a part-of-speech tagging result; extracting knowledge element information from the part-of-speech tagging result based on a preset power grid domain ontology knowledge base, and constructing an initial knowledge graph based on the knowledge element information; combining nodes in the initial knowledge graph to obtain a fused knowledge graph; constructing a mapping table according to the fused knowledge graph, and generating a candidate query template set based on the mapping table; receiving a natural language query statement input by a user, selecting a target query template from the candidate query template set based on the natural language query statement, and generating a target query statement; querying from the fused knowledge graph by using the target query statement, and outputting a query result; according to the method, the accuracy and comprehensiveness of information analysis can be effectively improved, the query intention of the user can be accurately understood, and the accurate query and analysis requirements of professionals on project documents are met.

The invention discloses a document knowledge base LLM intelligent question and answer method, device and equipment and a storage medium. The method comprises the steps that dynamic partitioning is conducted on a to-be-processed document, and vectorization and index storage are conducted on knowledge blocks; vector retrieval and keyword retrieval are carried out according to the natural language question, a vector retrieval result and a keyword retrieval result are fused, an answer is obtained through LLM, and the answer is fed back to a user after being safely filtered; when it is detected that the to-be-processed document is updated, the vector library and the index are synchronously updated, and the cue word template and the partitioning strategy are periodically optimized, so that the problem of form picture information loss can be solved, the integrity of document information analysis is guaranteed, the situation that the partitioning strategy is single is avoided, the multi-hop recall rate is increased, and the problem of semantic missing is avoided; a partitioning mechanism is reasonable, retrieval precision is improved, updating cost is reduced, data security is improved, implementation is convenient, universality is good, and the speed and efficiency of LLM intelligent question answering of the document knowledge base are improved.

The invention discloses a multi-agent collaborative scheduling method and system oriented to science and technology intelligence analysis, and relates to the technical field of science and technology intelligence analysis, and the method comprises the steps that a task issuing layer outputs a standardized task description by executing task demand element analysis; after the intelligent coordinated scheduling layer receives the standardized task description, closed-loop collaborative decision making is carried out, and a task distribution instruction is output; and the professional agent execution layer drives the data acquisition agent group to acquire science and technology information data through a data access adapter of the data resource layer, executes a science and technology information analysis task, outputs a structured processing result, and visually displays the structured processing result to a user through the task release layer. The technical problem that in the prior art, a science and technology information processing system lacks intelligent task allocation, and consequently the information processing efficiency is low is solved, and the technical effects that four-layer architecture closed-loop cooperation of science and technology information analysis tasks and efficient dispatching of specialized intelligent agent groups are achieved, and the task allocation accuracy and the information processing efficiency are improved are achieved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-modal information analysis and scheme reminding method, device, equipment and medium, which comprises the steps of receiving input data and converting the input data into multi-modal data, executing optical character recognition and image classification recognition to generate a recognition result, and sending the recognition result to a server; a natural language processing model is used for analyzing fuzzy description to generate an analysis result, a knowledge base is inquired, a knowledge graph is combined to generate an association result, the analysis result, the association result and user feature data are fused to generate an execution scheme, the execution scheme is compared with an abnormal list, supervision confirmation is triggered, and a compliance instruction is generated. And personalized reminding contents are generated. The information analysis integrity is improved through multi-modal recognition, natural language processing and the knowledge graph, supervision confirmation and personalized reminding are introduced, and intelligent, compliant and reliable reminding management is achieved.

The invention relates to a field information analysis method and system based on RAG and a knowledge graph, and belongs to the technical field of artificial intelligence, and the system comprises a multi-source heterogeneous data collection module which is used for collecting field-related original data; the intelligent document processing engine is used for carrying out cleaning and structured processing on the data and extracting entities, relationships and events; the multi-source knowledge graph construction and management module is used for constructing and fusing multi-sub-field knowledge graphs to form a unified knowledge graph; the RAG retrieval enhancement generation dynamic fusion sequencing module is used for receiving user query, performing multi-channel information retrieval by querying a text vector index and a knowledge graph, performing fusion resequencing on a result, and generating an analysis result by utilizing a large language model; and the agent workflow engine is used for decomposing query into subtasks and scheduling professional agents to cooperatively complete analysis and report generation. Deep semantic understanding, intelligent retrieval and automatic analysis of domain information are realized, and the accuracy and efficiency of information processing are improved.

The invention relates to a circuit board on-line defect detection method and system, and the method comprises the steps: carrying out the synchronous collection and structural integration of multi-source technological parameters such as production line environment temperature and humidity, equipment operation states, material batches and the like, and defect detection images, and achieving the construction of large-sample original data in a production process; through standardization and de-noising preprocessing, multi-modal features are fused, and a distribution mapping model of process and defect features is established by using algorithms such as mutual information analysis and principal component analysis. Based on a feature distribution model and real-time data, a dynamic anomaly detection threshold is adaptively generated, Bayesian inference and evidence reasoning are combined, multi-level confidence levels and risk response suggestions are output, and self-learning evolution of the model and the threshold is realized through a closed-loop feedback mechanism. According to the scheme, the accuracy of anomaly detection, the response timeliness and the risk disposal intelligent level are improved, the method adapts to complex working conditions and batch changes, and the closed-loop optimization and safety control capability of the production process is remarkably enhanced.

A method and system for geometrical and topological information analysis for an explainable damage assessment are developed. The system stores pre-disaster and post-disaster point cloud data in computer memory which is connected to a server via a network. The portions of the pre-disaster and post-disaster point cloud data corresponding to the regions of interest are segmented out using geometrical analysis. Features based on topological data analysis techniques for these portions are extracted and stacked as the index reflecting the innate geometrical and topological properties for potential damage assessment. A collection of classifiers are trained to group the damage levels for each region of interest. The damage assessment results identified by the classifiers and a set of explainable items justifying the classification results are reported to a human-readable device.

The invention discloses a fault information acquisition method and system for transformer substation relay protection equipment. The method comprises the following steps: acquiring a multi-source fault data sequence of relay protection equipment; generating a fusion fault feature sequence through a multi-source data fusion strategy; identifying a key fault period based on a dynamic sudden change threshold, and intercepting target and non-target data subsequences; the morphological difference degree of adjacent target subsequences is calculated, if the morphological difference degree exceeds a threshold value, the adjacent target subsequences are marked as a doubt sequence, and fault feature analysis is carried out by adopting a hierarchical analysis strategy; and further carrying out fault wave and range judgment on adjacent non-target subsequences. Through the multi-source information fusion and dynamic threshold technology, the limitation of a single data source and a fixed threshold is overcome, early faults and hidden defects can be accurately recognized, normal operation and real faults can be effectively distinguished, the accuracy, reliability and early warning capability of fault recognition are remarkably improved, and the method is suitable for popularization and application. The method is suitable for state monitoring and fault diagnosis of intelligent substation relay protection equipment.

The embodiment of the invention provides an information analysis method and device, electronic equipment and a storage medium, and relates to the technical field of smart home, and the method comprises the steps: determining a screening condition in response to an obtained target user problem related to home entry; screening candidate messages meeting the screening conditions from a message database; performing message rewriting on each candidate message obtained by screening to obtain each target message; constructing a prompt word at least comprising the target user question, each target message and explanation content for each target message; and inputting the cue word into a predetermined large model, so that the large model responds to the cue word to generate a feedback result matched with the target user question. According to the method and the device, the behavior events can be automatically screened and analyzed, and the intelligent degree of screening and analyzing the behavior events is improved.

The invention discloses an innovation resource recommendation method and system based on an industrial chain knowledge graph, and relates to the technical field of industrial innovation decision support, and the method comprises the steps: collecting multi-source industrial chain innovation ecological data, and carrying out the preprocessing; performing entity recognition and relation extraction on the preprocessed multi-source industrial chain innovation ecological data, and constructing a static industrial chain knowledge graph; performing policy and regulation information analysis on the dynamic industry chain knowledge graph, extracting mandatory compliance terms and converting the mandatory compliance terms into a filtering rule set, filtering entity nodes and relation edges in the dynamic industry chain knowledge graph by using the filtering rule set, identifying encouraging resources, endowing policies with favorable identifiers, and forming a security resource pool. According to the method, entity nodes and relation edges in the dynamic industry chain knowledge graph are filtered to form a security resource pool, so that deep fusion of compliance screening and opportunity discovery is realized, and commercial feasibility and strategic guidance of a recommendation result are ensured.

The invention discloses an identification document full-process intelligent generation system and method. The system realizes end-to-end automatic processing from data acquisition to document generation through original report screenshot sampling, file filtering, authorization document analysis, data extraction and structuring, report content generation, equipment information analysis and judicial document template filling. The system adopts a multi-stage fault-tolerant and verification mechanism, integrates a large-model intelligent analysis and extraction technology, can automatically repair a non-standard data format, and generates standardized document content according to judicial specifications. According to the method, the judicial expertise document generation efficiency, accuracy and normalization are remarkably improved, and the evidence effectiveness of the output document is ensured.

The invention relates to an intelligent bid evaluation expert extraction method and system in the technical field of bidding and tendering information management. The method comprises the following steps: S1, constructing an expert multi-dimensional portrait; s2, receiving review project information, analyzing and calculating relevancy between a project demand vector and each expert capability vector, and screening candidate experts; s3, performing intelligent scheduling and priority ranking according to the historical response rate, attendance rate and evaluation of the candidate experts; s4, carrying out credible evidence storage on key data of the extraction process by utilizing a block chain, and ensuring tampering prevention and traceability of the extraction process and expert information; s5, at the appointed time and place before bid opening, decrypting and reviewing expert sensitive information under supervision, and completing confirmation and notification of a final expert group; the system comprises an expert database management module, a semantic matching module, an intelligent scheduling module, a block chain evidence storage module, a security decryption module and a visual interface. According to the extraction method and the system thereof, the precision, the intelligence and the security of expert extraction can be realized.

The invention discloses a main control election method for multiple micro-control units and a related device, and relates to the technical field of information analysis, and the method comprises the steps: calculating a priority value of each micro-control unit based on a starting timestamp, an internal temperature, a central processing unit utilization rate and voltage stability; each micro-control unit broadcasts a current voting round and proposes a master control identity identification number and a priority value so as to perform priority evaluation on each micro-control unit by utilizing a triple comparison rule; performing proposal updating based on a priority evaluation result to obtain proposal updating information; determining a main control unit and a plurality of standby control units by using a preset agreement mechanism based on the proposal update information; and the main control unit broadcasts a heartbeat frame, each standby control unit judges whether the main control unit has a fault based on the heartbeat frame, and if the main control unit is judged to have the fault, the main control election is performed again. According to the method, the consistency and reliability of the master control election process are guaranteed, and meanwhile self-judgment and self-recovery after the master control fails are achieved.

The invention discloses a person and post matching method and system based on a bidirectional collaborative filtering algorithm, and the method comprises the steps: assisting a job seeker to clearly input job-seeking basic information and transmit job-seeking appeals in a flexible manner through an intelligent interaction interface integrating voice input and large language model analysis; the method comprises the following steps: collecting data through interaction information collection, resume information analysis and recruitment demand decomposition, carrying out data cleaning and label mining, generating a job seeker dominant label, a job seeker implicit label, a recruiter dominant label and a recruiter implicit label based on an ontology, preliminarily constructing an interestingness preference model of the job seeker and the recruiter, and establishing an interestingness preference model of the job seeker and the recruiter; and then calculating a job-seeking label data set and a recruitment position label data set based on an improved collaborative filtering algorithm, calculating a person-position bidirectional matching coefficient by integrating dominant demands and implicit demands of both parties, recommending a working position with a higher bidirectional matching degree for a job-seeker position, and improving the accuracy of position recommendation.

The invention relates to the technical field of network content security, in particular to a network media video sensitive information intelligent identification and early warning system, which comprises a data acquisition module for acquiring network media video data; the video information extraction module performs multi-dimensional analysis on the acquired data to obtain depth features; the AIGC video detection module identifies whether the content is the content generated by the AIGC technology or not according to the depth feature, and if yes, an AI generation mark is marked; the causal inference and evaluation module is used for carrying out causal correlation diagnosis on intention and context, carrying out deep analysis through an anti-fact inference technology, judging whether the intention is sensitive information or not, evaluating dangerousness and obtaining a dangerousness level; and the early warning module takes the minimum intervention cost and the maximum risk control as targets, matches and dynamically generates an optimal intervention scheme from a strategy library in combination with the risk level, and intervenes the sensitive video. Therefore, the problems of incomplete multi-modal information analysis, lack of an AI generation content identification mechanism and the like are solved.

An object of a system according to an embodiment is to enable a person in charge of personnel affairs of a company to efficiently generate job offer information.SOLUTION: A system includes an information acquisition unit, an analysis unit, and a generation unit. The information acquisition unit acquires information provided by a personnel manager of a company. The analysis unit analyzes the information acquired by the information acquisition unit. The generation unit generates job offer information based on the information analyzed by the analysis unit.SELECTED DRAWING: Figure 1

The invention discloses an error log analysis method and system based on a large language model. The method comprises the steps of obtaining a first error log text; based on the first error log text and a system cue word, an analysis cue word is constructed, and the system cue word is used for indicating an operation and maintenance expert role of the large language model, a task needing to be executed and a preset structured output format rule; inputting the analysis cue word into a large language model; output content generated by the large language model is received, the output content comprises a first error information analysis result conforming to the preset structured output format rule, and the first error information analysis result comprises an error type analyzed from the first error log text and root cause description. Therefore, a mechanical matching mode of a regular expression is abandoned, the semantic understanding capability of a large language model is combined with cue word engineering, the error log is intelligently analyzed based on deep semantic understanding, and the accuracy and integrity of key error information extraction of the error log are improved.

The invention discloses a vertical domain intelligence analysis method based on a large language model. The method comprises the following steps: receiving a natural language analysis demand of a user; based on pre-constructed vertical domain specific task planning knowledge, intelligently decomposing the demand into a subtask list corresponding to a preset dimension by using a large language model, and semantically matching a proper information acquisition tool for each subtask to generate a structured task plan; the system schedules and executes tool sets of network search, webpage capture, internal query and the like according to a plan, and performs cross verification and cleaning on collected fragmented information; and inputting the verified data into a large language model for integration analysis, and optionally carrying out multi-round iteration self-evaluation optimization to automatically generate a high-quality vertical domain intelligence analysis report. According to the method, full-process and high-intelligence automatic processing of information analysis in the vertical field from demand understanding to report generation is realized, and the method has excellent planning capability, process interpretability, result reliability and excellent modular expansibility.

The present application relates to the technical field of sample pretreatment automation, and discloses a system of a full-automatic sampling tube cap screwing and pipetting workstation and a running method thereof.The system comprises a motion point definition module, a cap screwing adaptation identification module, a label scanning module, a pipetting planning and execution module, a cap screwing torque calling module and a real-time torque acquisition module.The system realizes continuous scanning and reliable identification of the cap profile in the motion state through a dynamic coordinate system and key motion points, dynamically calls matched torque parameters to execute cap screwing according to the identification result, and simultaneously acquires real-time torque data.The system synchronously completes sample label information analysis, pipetting path planning and pressure monitoring.The scheme realizes adaptive perception and closed-loop cap screwing control of the cap state, and improves the robustness of cap identification, the consistency of cap screwing action and the reliability of the overall process.

The invention provides a loading and unloading progress monitoring method and system based on LLM model information analysis, and relates to the technical field of information analys.The method includes the steps that semantic analysis and role behavior modeling are conducted on loading and unloading related communication content, and task site photos and text statement vectors are fused to form joint vectors; secondly, extracting task state nodes and change paths thereof under the participation of multiple parties, and performing time positioning on task states based on time clues in a context by combining with records of external equipment, so as to form a state-time evolution track of the whole process of the task; according to the method, a set of modeling framework which can be aligned with actual records of the system and identify task deviation is constructed, and the method can be used for intelligent management scenes such as delay early warning, anomaly analysis and progress visualization. The scheme has the advantages of being high in engineering applicability, low in deployment cost, extensible in model and the like, and is particularly suitable for medium and large logistics enterprise loading and unloading business scenes with complex multi-role scheduling, frequent manual interaction and incomplete data structuring.

The application discloses a power oscillation data processing method and device, a storage medium and an electronic device. The method comprises the following steps: determining a plurality of sites, and determining oscillation data corresponding to the plurality of sites respectively; inputting the oscillation data corresponding to the plurality of sites respectively into a target knowledge graph representation learning model to obtain a target knowledge graph representing the relationship between the plurality of sites; and determining an oscillation propagation path of a target oscillation anomaly included in the oscillation anomaly corresponding to the plurality of sites respectively based on the oscillation data corresponding to the plurality of sites respectively. The application solves the technical problem of lacking the ability of monitoring information analysis and display for wideband oscillation in the related art.

The invention discloses a cloud side end monitoring system based on Internet of Things data, which relates to the technical field of cloud side ends and comprises a data transmission acquisition module, a performance information analysis module, a data safety monitoring module, an extension information analysis module, a platform operation monitoring module, a state prompt and a database. The real-time evaluation coefficient and the performance evaluation coefficient corresponding to the target cloud side end are obtained through analysis, then the high-efficiency evaluation coefficient corresponding to the target cloud side end is better obtained, the safety evaluation coefficient and the expansibility evaluation coefficient corresponding to the target cloud side end are analyzed, and the intelligence evaluation coefficient corresponding to the target cloud side end is obtained. According to the technical scheme of the invention, the target cloud side end is extracted, and the intelligence corresponding to the target cloud side end is judged, so that the stronger and more efficient cloud side end service capability is provided, the security and privacy of data transmission are better guaranteed, and the intelligence of the cloud side end technology is better displayed.

Embodiments of the present disclosure disclose an information analysis method, device and equipment for mobile web page and readable medium. A specific embodiment of the method comprises: in response to detecting a selection operation on a walkthrough item, displaying a web page indicated by the selected walkthrough item according to preset display parameters, and displaying a design draft page of the web page on the same screen, wherein the web page is a mobile web page; in a walkthrough mode, in response to detecting a selection operation on a target element in the web page, determining attribute information of the target element; in the design draft page, determining a target layer corresponding to the target element and design information of the target layer; and performing difference analysis on the attribute information and the design information. The embodiment proposes a design walkthrough method for mobile web page. The method can intelligently analyze the difference between page elements and corresponding layer information, thereby reducing manual operation and improving walkthrough efficiency.

The present application relates to the technical field of engineering drawing, and particularly relates to a three-dimensional model generation method, device, equipment and storage medium. The method loads a two-dimensional drawing through a building three-dimensional modeling software, identifies layer names of all layers in the two-dimensional drawing, and determines a component type of a component corresponding to each layer according to each layer name; determines a corresponding drawing identification mode and a corresponding information analysis mode according to the component type; extracts a drawing feature group corresponding to the component from a corresponding layer according to the drawing identification mode; analyzes the drawing feature group according to the information analysis mode to obtain modeling information corresponding to the component; and performs three-dimensional modeling based on the modeling information corresponding to each component to obtain a three-dimensional model corresponding to the two-dimensional drawing, thereby solving the problem of low accuracy in converting a two-dimensional drawing into a three-dimensional model in the prior art.

The invention discloses an axle industry information acquisition and analysis system based on a large language model, and belongs to the technical field of artificial intelligence and information processing. The system comprises an intelligence acquisition layer, an intelligence processing layer and an intelligence analysis layer, wherein the intelligence acquisition layer is used for acquiring multi-source intelligence data from different information sources; the intelligence processing layer is used for converting an unstructured text of the multi-source intelligence data into structured data with rich semantic marks by utilizing a large language model; and the intelligence analysis layer is used for analyzing the structured data with the rich semantic marks by using a large language model and generating an analysis report. According to the invention, automation of information acquisition, intelligence of analysis and scientization of decision making are realized.

The invention discloses an information security detection method and device, equipment, a medium and a program product. The method comprises the following steps: acquiring user access information and data access abnormal information in a to-be-detected data access period; performing anomaly analysis on the user access information to obtain a user access information analysis result; performing exception analysis on the data access exception information to obtain a data access exception information analysis result; and based on the user access information analysis result and the data access abnormal information analysis result, performing information security detection on the to-be-detected data access time period to obtain a target information security detection result. According to the method and the device, the abnormal access behavior of the user and the abnormal condition of data access can be effectively detected, so that the information security in the data access process is comprehensively detected.

1. The name of the design product: electronic device life cycle information analysis management system graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for displaying the interface information of the device life cycle information analysis management system. 6. The change state description of the graphical user interface: the front view is the login interface of the device life cycle information analysis management system, clicking "login" in the front view, the interface is as shown in the interface change state diagram, the interface change state diagram is the main interface, which is the information display interface, and the interface change state reference diagram is the reference diagram of the interface change state diagram.

The application discloses a kind of master control election methods of multiple micro control units and related devices, it is related to information analysis technical field, the method includes: based on start time stamp, internal temperature, central processing unit utilization and voltage stability degree calculate the priority value of each micro control unit;Each micro control unit broadcasts current voting round, proposed master identity identification number and priority value to utilize triple comparison rule to carry out the priority evaluation of each micro control unit;Based on priority evaluation result carries out proposal update, obtains proposal update information;Based on proposal update information utilizes preset agreement mechanism to determine master unit and several spare control units;Master unit broadcasts heartbeat frame, each spare control unit judges whether master unit fails based on heartbeat frame, if it is judged that master unit fails, then re-performs master control election.The application guarantees the consistency and reliability of master control election process, simultaneously realizes self-judgment and self-recovery after master control failure.

An object of a system according to an embodiment is to efficiently collect and appropriately provide game mastery information.SOLUTION: A system includes a reception unit, an analysis unit, and a provision unit. The receiving unit receives information. The analysis unit analyzes the information received by the reception unit. The providing unit provides strategy information based on the information obtained by the analysis unit.SELECTED DRAWING: Figure 1

The invention relates to a particle micro-explosion combustion event detection and particle classification method based on multi-factor scoring, which takes a trajectory splitting event as a core, combines and analyzes a'termination trajectory 'and a'new trajectory' as a candidate condition of a primary micro-explosion combustion event, and converts a tracking problem from position tracking into identification and judgment of a physical process. Tracking errors caused by accidental factors in the particle tracking process can be reduced; through a two-step screening strategy of'deterministic screening 'and'probabilistic screening', the inherent'velocity attribute 'of the sub-particles can be effectively combined, a group determined as the sub-particles is firstly screened out, and the calculated amount of subsequent'probabilistic screening' is reduced; furthermore, a comprehensive scoring model is established, the micro-explosion characteristics of the mother particles are associated with the group characteristics of the child particles, a'probabilities screening 'strategy based on multi-dimensional associated information analysis is formed, the accuracy of particle classification is effectively improved, and high-precision and high-robustness recognition of the metal particle micro-explosion combustion event in the motion state is achieved.