98 results about "Analytical strategy" patented technology

The invention relates to the field of artificial intelligence and data analysis, in particular to a report data automatic analysis report generation system based on an AI agent. Comprising a multi-modal intention understanding and dialogue analysis module; a dynamic domain knowledge graph construction and reasoning module; the self-adaptive narrative generation and visualization module is used for dynamically generating a report structure according to an analysis result and providing an interpretable insight and a personalized report style; and the agent arrangement and self-learning closed-loop module is used for decomposing the user intention into sub-tasks, scheduling specialized micro-agents to cooperatively complete the sub-tasks, and optimizing an analysis strategy and updating a knowledge graph based on user feedback. Through multi-modal interaction and conversational analysis, a user does not need to learn a complex query language, and can naturally explore data like a conversation with human experts, so that the analysis process is more intuitive and more efficient.

The invention discloses a scenarized hierarchical management and control method for an education application in a data space, and the method comprises the steps: obtaining a multi-modal input content in a corresponding preset period after the starting of the current time in response to a starting instruction of the education application in a target data space; calling a corresponding analysis strategy according to the content type of the multi-modal input content; extracting target features from the multi-modal input content based on an analysis strategy; according to an education scene corresponding to the target data space, obtaining a matching result of the target feature and a target database; determining a corresponding data space risk level according to a matching result; and calling and executing an application management and control strategy corresponding to the data space risk level. According to the method, education application hierarchical management and control adaptive to different scenes can be provided, the management and control precision is high, meanwhile, automatic analysis and management and control processes are achieved, and the method is suitable for scenes such as classroom teaching management, after-class and extracurricular training, remote examination and family interactive learning.

The invention discloses a data leakage early warning method, device and equipment based on buried point collection and a storage medium, and relates to the technical field of system exception monitoring, and the method comprises the steps: obtaining exception log information and historical data information sent by a buried point collection service node; performing aggregation counting on the abnormal log information according to preset time granularity to obtain abnormal quantity statistical data of each time granularity; performing transverse and longitudinal analysis on the abnormal quantity statistical data and the historical data information according to a preset transverse and longitudinal analysis strategy to obtain a comparison deviation value; and performing data leakage early warning according to the comparison deviation value. According to the method, time-sharing processing and multi-dimensional analysis are carried out on the abnormal log data of the system, so that real-time early warning and service subdivision monitoring of buried point data leakage are realized, and the reliability and fault positioning efficiency of the system are improved.

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 invention belongs to the field of computer vision, and particularly relates to an unsupervised visible light infrared pedestrian re-identification method. According to the method, a ResNet50 neural network is used as a feature extraction backbone network, a dual-module collaborative framework composed of a boundary pseudo-tag correction module and a distribution perception soft alignment module is constructed, the boundary pseudo-tag correction module is used as a basic component, and a core sample and a boundary sample are explicitly distinguished and clustered through a contour coefficient analysis strategy, so that the feature extraction accuracy is improved. And a dynamic evaluation mechanism in a Jaccard distance space is adopted to process samples with different confidence coefficients, so that the problem of disordered feature space structure caused by wrong distribution of boundary samples is effectively relieved.

An audiovisual system uses a spatial position detection module to process audio signals and determine the location and orientation of a speaking participant. Based on this data, the system dynamically controls sensors to optimize audio and video capture. Behavioral and contextual information may also be used to train intelligence models for improved system performance. Further, sensor arrays may be utilized to identify gaze vectors of participants to select a camera sensor of the sensor array. Meeting content collected with the sensor array may be organized into meeting metrics in accordance with an analytics strategy before training an intelligence module with the meeting metrics. Meeting content may also be configured into digital tiles in accordance with a tile strategy. At least one of the digital tiles may be altered in response to a meeting condition detected by the sensor array.

The invention relates to the technical field of ecological environment monitoring, in particular to an environment assessment method and device based on carbon footprint and regional ecological data. The method comprises the following steps: acquiring carbon footprint data and regional ecological data of a target region; performing dimension alignment on the carbon footprint data and the regional ecological data to obtain an associated data set associated with a preset grid of the target region; and based on the associated data set, through at least one of a time sequence similarity analysis strategy, a spatial distribution overlapping degree analysis strategy and a causal relationship influence analysis strategy, determining an environment assessment result of the target area. Compared with the prior art, a manual evaluation mode is replaced, and the analysis efficiency is improved. And on the other hand, the carbon footprint data and the regional ecological data are aligned according to the preset grids of the region, so that the problem of non-uniform comparison dimensions and indexes is solved. And meanwhile, three analysis strategies are provided for reflecting the internal relation of the two types of data, so that the data analysis precision is improved.

The invention provides a contract content extraction and integration method and system and a storage medium, and the method comprises the steps: obtaining a contract file uploaded by a user through an OA system, recognizing the context features of the contract file, and dynamically triggering an analysis strategy adaptive to the contract file based on the context features; performing content extraction on the contract file by using an analysis strategy to generate a preliminary analysis result containing core content and risk reminding; obtaining the complexity of the contract file and the confidence coefficient of the initial analysis result, and determining an auditing path of the initial analysis result based on the complexity and the confidence coefficient; and auditing the preliminary analysis result by using the auditing path to generate auditing feedback information, and correcting the preliminary analysis result in real time based on the auditing feedback information to generate an optimized analysis result. According to the method and the device, intelligent and dynamic analysis and auditing guidance of the contract file can be realized in an OA system environment, the efficiency and the accuracy of contract auditing are effectively improved, and adaptive adjustment of an analysis strategy and an auditing path is realized.

The invention discloses a data analysis method and system based on questionnaire investigation, and particularly relates to the technical field of data analysis, and the method comprises the following steps: S1, collecting and preprocessing questionnaire data, and obtaining original questionnaire data; s2, questionnaire feature engineering: extracting core features from the standardized questionnaire data set based on a joint screening mechanism of semantic similarity and information gain, and obtaining low-dimensional feature vectors through a dimension reduction algorithm; s3, subject mining and user group division are carried out on the low-dimensional feature vectors; and S4, outputting a result based on the analysis model, and generating a targeted questionnaire analysis report which comprises topic distribution, group difference and potential demand association conclusions. According to the data analysis method and system based on questionnaire investigation, through a multi-strategy fusion preprocessing mechanism, a combined screening feature engineering method, a fusion modeling analysis strategy and a self-adaptive model optimization module, the accuracy and efficiency of questionnaire data analysis are improved.

An object of a system according to an embodiment is to provide support for efficiently clearing a game that has not been cleared by a player.SOLUTION: A system according to an embodiment includes a game information acquisition unit, a strategy analysis unit, an advice providing unit, an assist operation unit, and an auto play unit. The game information acquisition unit acquires information on a game that the player wishes to clear. The strategy analysis section analyzes a strategy method based on the game information acquired by the game information acquisition section. The advice providing unit provides advice based on the strategy method analyzed by the strategy analysis unit. The assist operation unit assists an operation of a player. The auto-play unit automatically plays a game.SELECTED DRAWING: Figure 1

The invention discloses a genome analysis method for mining a potential natural strain repository of a drug-resistant gene tetX. According to the method, aiming at a database of a drug-resistant gene detection core, a plurality of representative databases (such as CARD, Resfinder and SARG) and drug-resistant gene sequences annotated in an NCBI public database are combined on the construction composition of the database; various types which are not included in but reported in the database at present are considered, so that the types and the quantity of corresponding drug-resistant gene databases (such as tetX genes) are greatly expanded; an optimized and integrated analysis strategy and a verification strategy are provided for mining and analyzing a potential natural strain repository of tetX drug-resistant genes.

The invention relates to a walnut pairing method and device based on category feature self-adaption, equipment and a medium, and relates to the technical field of amusement walnut pairing, and the method comprises the steps: carrying out the rigid alignment processing of first contour data corresponding to a first walnut and second contour data corresponding to a second walnut; based on the first contour data and the second contour data after alignment processing, obtaining total contour loss between the first walnut and the second walnut, and based on the total contour loss, obtaining a target contour score; based on the type information of the first walnut or the second walnut, obtaining a target bottom line score and a target front line score between the first walnut and the second walnut; and based on the target contour score, the target bottom line score and the front line score, obtaining a comprehensive pairing score between the first walnut and the second walnut. According to the method, automatic pairing frameworks of different analysis strategies can be adaptively selected according to walnut category features, and the accuracy and efficiency of pairing are improved.

The invention provides a class learning condition analysis system and method based on an AI large model, and the system comprises a multi-person single-question analysis subsystem which is used for carrying out the error cause analysis and the number of persons through employing different analysis strategies according to different question types, and carrying out the error cause analysis through employing different preset strategies according to the question setting modes of different subjects. Obtaining a first analysis report; the multi-person multi-question knowledge point analysis subsystem is used for aggregating question information for different knowledge points and obtaining a second analysis report based on a multi-modal LLM model; and the multi-person and multi-question ability analysis subsystem is used for aggregating question information for different abilities and obtaining a third analysis report based on a multi-modal LLM model. The first analysis report, the second analysis report and the third analysis report output under the multi-person single question, the multi-person multi-question knowledge points and the multi-person single question ability are integrated, and a final learning condition analysis report is given.

The invention discloses a sensor problem traceability system based on big data, and relates to the technical field of industrial manufacturing and quality management. According to the system, production parameters of all working procedures are collected in real time through the RFID identification technology, and a sensor full-life-cycle digital twin file is constructed; a DBSCAN clustering algorithm is used for identifying a defect group, and an analysis strategy combining FP-Growth frequent pattern mining and a random forest classifier is used for positioning a root cause process and an abnormal parameter threshold value; a root cause contribution degree is calculated through a multi-evidence fusion decision-making mechanism, and a parameter adjustment scheme is generated based on a case reasoning optimization model; after verification of the safety control unit, the adjustment instruction is accurately issued to corresponding production line equipment through an OPC UA protocol; a complete closed loop from problem discovery, root cause tracing to production line self-adaptive adjustment is realized, and the yield and the intelligent level of sensor production are improved.

This application relates to the field of intelligent assisted calculation and shell spring metal forming technology, and provides a method and system for intelligent calculation and prediction of springback in hyperbolic aluminum plates. The method includes: automating the setting of forming analysis strategies in finite element analysis software; collecting stress data and amplitude data of the aluminum plate in the Z direction to generate an analysis file; automatically processing the analysis file using a series of pre-written restart analysis scripts to obtain the Z-direction displacement of each point on the hyperbolic aluminum plate after springback; using the automatically processed results, the corresponding pre-simulation coordinates, and the material parameters during analysis as input data to train a neural network model; setting material parameters and inputting coordinate data tables; and outputting the coordinate correction results of each point on the hyperbolic aluminum plate based on the trained neural network model, thereby achieving the prediction and correction of springback errors in the hyperbolic aluminum plate. This represents a leapfrog upgrade in hyperbolic aluminum plate springback analysis from "manual trial and error" to "intelligent prediction."

The application provides a user security level analysis method, device, equipment and storage medium, which can be used in the technical field of data storage and analysis. The user data, i.e. business data and behavior data, of multiple network users is obtained in real time, and is written into a Doris database respectively to obtain a business data table and a behavior data table. Then, based on the two tables, an associated query is performed, and a preset security level analysis strategy is combined to determine the security level of the multiple network users. The method realizes real-time monitoring and risk assessment of user activities, effectively improves the overall security and user experience, and enhances the reliability and stability of the system.

The application discloses a malware large model adaptive analysis system based on improved GRPO and dynamic and static cooperation, comprising a collection execution module, a static feature extraction module, a log processing module, a prompt word engineering module, an LLM analysis module, an evaluation feedback module, an analysis strategy optimization module and a weight optimization module, and also discloses a method.The beneficial effects of the application are that the static features of the sample file to be analyzed are intelligently fused with dynamic behavior logs, complete analysis context is provided for the LLM, comprehensive and high-precision threat determination of dynamic and static combination is realized, the optimal analysis strategy can be selected according to the log size, the large log is processed by using the context-aware block mechanism, and therefore, the analysis quality is guaranteed while the efficiency and cost are taken into account.

This application relates to the field of business configuration, and more specifically, to a business configuration question-and-answer service method, system, and electronic device. The method includes: acquiring a question-and-answer request packet, the request packet including at least business configuration question information and context information related to the current business configuration operation; identifying the question type based on the request packet to obtain the question type; determining an analysis strategy corresponding to the question type; analyzing the request packet based on the corresponding analysis strategy; and generating a response result for the request packet. This application enables accurate understanding and differentiated responses to business configuration questions, significantly improving the accuracy and practicality of the questions and answers, providing second-level, scenario-based guidance for business configuration operators, effectively reducing configuration error rates and accelerating problem resolution.

The invention discloses a low-interference taint path restoration system and method based on static instrumentation, and mainly solves the problems of stiff analysis strategy, high operation overhead and result semantic deficiency faced by existing vulnerability mining and security assessment. The system comprises a target data acquisition end and an analysis engine which run independently and are connected through a shared memory channel; lightweight static instrumentation is performed on a source code in a target program compiling stage, and a shared memory channel with an analysis engine is established; by constructing a "producer-consumer" asynchronous decoupling architecture, time-consuming taint rule management and path restoration logic are stripped from a service main thread; a lockless annular buffer area is utilized to efficiently capture a runtime data stream, and a source code level taint propagation path is restored in an independent analysis engine in combination with debugging information and a call stack Hash algorithm. According to the method, a high-precision source code level analysis result can be obtained while low performance loss is kept, and the efficiency and flexibility of vulnerability mining are greatly improved.

The invention relates to the field of rehabilitation supervision, in particular to a medical supervision system based on orthopedic rehabilitation, and the system comprises an initial evaluation module which is used for responding to a behavior judgment condition to determine a key supervision behavior of a supervision target, and responding to an evaluation condition to determine a supervision analysis strategy of the supervision target; the execution analysis module is used for responding to a set setting condition to determine a set setting strategy and determining an autonomous execution interference coefficient of each key supervision behavior based on the behavior evaluation set; the supervision matching module is used for responding to the matching analysis condition to determine a supervision matching mode of the supervision target and responding to different matching conditions to determine an autonomous interference analysis strategy of the key supervision behavior; and the rehabilitation analysis module is used for responding to the interference adjustment condition to determine whether the rehabilitation process index is adjusted or not, and the accuracy of the judgment result of the rehabilitation process of the supervision target is improved.

The embodiment of the invention relates to the field of data analysis, in particular to a data analysis method and device based on a large language model and computer equipment. Generating prompt information according to the question information, wherein the prompt information comprises an analysis strategy generated based on the question information and a software interface matched based on feature information of the question information; inputting the question information and the prompt information into a pre-trained large language model to obtain an analysis code corresponding to the question information; according to the execution result of the analysis code and the description information of the software interface, an analysis result is determined, and the analysis result comprises reply information generated based on the execution result or regenerated prompt information. According to the embodiment of the invention, the problems of low data analysis efficiency and high cost of workers in existing enterprise operation management are solved.

The invention discloses a multi-target cooperative control method based on a flexible DC power transmission system, and relates to the technical field of DC power transmission, and the method comprises the steps: constructing a multi-target optimization model of the flexible DC power transmission system; determining constraint conditions of the multi-objective optimization model; solving the multi-objective optimization model by adopting an improved genetic algorithm to obtain a Pareto optimal solution set; introducing a fuzzy analytic hierarchy process strategy, and screening the Pareto optimal solution set; selecting the solution with the highest comprehensive evaluation value as a final cooperative control parameter; and issuing the final cooperative control parameter to each converter station controller to realize multi-target cooperative control of the system. According to the method, the multi-objective optimization model is constructed to effectively avoid the single-objective optimization defect and improve the comprehensive operation benefit of the system, the improved genetic algorithm and the adaptive operator design are adopted to prevent the algorithm from being converged to local optimum too early and improve the solution set coverage, and the index weight is determined through the fuzzy analytic hierarchy process strategy to improve the system performance. And the final cooperative control parameters are enabled to meet actual engineering operation requirements.

The embodiment of the application discloses a kind of intelligent pipeline monitoring device and system, it includes: pipeline position positioning unit, for positioning identification and generating the positioning identification data of each pipeline unique;Pipeline environment monitoring unit, for fixed-point monitoring and generating pipeline environment monitoring data to key monitoring position;Flow detection unit, for determining whether there is abnormal flow signal;Cloud server, for determining abnormal pipeline position information based on monitoring analysis strategy and issuing to specified supervision personnel communication end;The monitoring analysis strategy includes based on abnormal flow signal, calling the pipeline environment monitoring data packet of each key monitoring position to carry out pipeline anomaly analysis and form potential anomaly analysis result to determine that there is abnormal pipeline, and positioning identification data is issued to specified supervision personnel communication end.The application can effectively reduce the labor intensity of field staff, high efficiency, strong target nature;And can effectively improve its identification accuracy to pipeline anomaly.

This invention relates to the field of energy storage management, and more particularly to an integrated intelligent control platform for hydrogen energy storage. The invention utilizes the collaborative operation of a data acquisition module, a pre-analysis module, a sample extraction module, a first analysis module, and a second analysis module. The acquisition module acquires real-time pressure and vibration signal data within a pipeline section. The pre-analysis module uses this data to identify abrupt peaks and calculate pipeline interference parameters, thereby determining the interference category of the data. The sample extraction module accurately extracts data based on the interference category. The first analysis module analyzes the data extracted across the entire range, constructing time-domain variation curves of pressure and vibration, identifying periods of aberration, and determining anomalies. The second analysis module verifies the data extracted from specific regions. This platform improves the monitoring efficiency and safety of hydrogen energy storage systems through refined data processing and analysis strategies.

The invention discloses a planning plot change monitoring method and system based on a time sequence remote sensing image, and belongs to the technical field of image data processing and analysis, and the method comprises the steps: obtaining a multi-temporal remote sensing image and planning plot data; preprocessing the multi-temporal remote sensing image to generate preprocessed time sequence remote sensing data; performing structured processing on the planned plot data to generate a structured planning knowledge base; based on the preprocessed time sequence remote sensing data and the structured planning knowledge base, performing change sensitivity pre-evaluation on each planning land parcel to generate a change sensitivity parameter of each planning land parcel; dynamically distributing analysis strategy parameters for each planning land parcel according to the change sensitivity parameters; and performing layered change detection on the planned plot based on the analysis strategy parameters to generate a plot change monitoring result. According to the invention, the time sequence remote sensing image and the planning land parcel data are adopted, and the change sensitivity pre-evaluation and dynamic analysis strategy are combined, so that the automatic and precise change monitoring of the planning land parcel can be realized.

The invention provides an agricultural product producing area traceability method based on radioactive energy spectrum analysis, and the method comprises the steps: collecting original energy spectrum data of agricultural product samples of different batches of known agricultural products, carrying out the preprocessing of the original energy spectrum data, and constructing an original energy spectrum data matrix; performing standardization processing on the original energy spectrum data matrix, and performing dimension reduction on the standardized original energy spectrum data matrix according to a preset component analysis strategy to obtain a dimension-reduced principal component feature matrix; constructing a production place classification model by adopting a logistic regression algorithm, defining an objective function, converting the objective function into a probability function, and constructing a loss function according to the probability function; and performing iterative training on the origin classification model according to the principal component feature matrix until the loss function converges, thereby obtaining the trained origin classification model. According to the method, seamless integration and efficient parallel computing of heterogeneous computing power resources can be realized. According to the invention, rapid and accurate traceability of the producing area of the agricultural product can be realized.

The invention relates to the technical field of precise assembly, in particular to an automatic precise assembly process analysis system of a high-reliability liquid-cooled transformer board card. Assembling abnormity caused by abnormal shaking of machine operation in the assembling process is evaluated through an assembling abnormity analysis strategy, meanwhile, damage evaluation of all positions is carried out by integrating matching analysis of connection positions and the assembling abnormity caused by abnormal shaking, abnormity prediction of an assembling result is carried out before assembling, the assembling abnormity can be found in advance, and the assembling efficiency is improved. And the safety and the success rate of the assembly process are improved.

The application provides a mass log analysis method based on log template compression and a large language model, comprising the following steps: S1, task receiving and analysis, analyzing a natural language analysis task into structured task information; S2, agent decision and analysis strategy generation, dynamically determining an analysis strategy and tool calling parameters; S3, double-path data acquisition and compression, compressing GB-level original logs into KB-level structured abstracts through template matching statistics, and acquiring detailed information through keyword search; S4, result integration and semantic enhancement, adding business semantic information to the template matching statistics result; S5, agent iterative analysis and reasoning, performing pattern recognition and iterative in-depth analysis based on the semantic enhancement abstract; and S6, generating an analysis report; the application solves the problem that a large language model cannot directly process mass logs, realizes a high compression ratio, completely retains key information, and endows the log data with business semantics.

Embodiments of the present disclosure disclose a project data analysis method and device, electronic equipment and storage medium, wherein the method comprises: obtaining an analysis target; obtaining initial data set information; determining an analysis strategy for the analysis target according to the current data set information in a loop; in response to the type of the analysis strategy belonging to data query, querying a data set according to the analysis strategy, and updating the data set information according to the data set; in response to the type of the analysis strategy belonging to data organization, merging the data set, and updating the data set information according to the merged data set; and in response to the type of the analysis strategy belonging to data summary, determining a first analysis result according to the current data set information, and ending the loop. The data analysis effect for the project can be improved, and the project management efficiency is improved.

The invention relates to an enterprise project data analysis method and device and computer equipment. The method comprises the steps of obtaining structured project data of an insurance industry project, and based on the structured project data, identifying a project preliminary analysis result of the insurance industry project through a multi-role collaborative analysis strategy; based on the structured project data, recognizing project variable data corresponding to the structured project data through a variable automatic mining strategy, and based on the project variable data, recognizing project variable analysis features of the project variable data through a sorting interpretation analysis strategy; and on the basis of the structured project data, through a data question completion strategy, generating completion data information of the insurance industry project, and on the basis of project variable analysis features and the completion data information, carrying out analysis optimization processing on the project preliminary analysis result to obtain a target project analysis result of the insurance industry project. By adopting the method, the accuracy of enterprise project data analysis can be improved.