101 results about "Target analysis" patented technology

The invention relates to the technical field of network situation awareness, in particular to a network situation intelligent awareness security system based on multi-source data analysis, which accurately acquires a perception threat confidence vector, a service interruption risk vector, an attack chain complete vector and a user behavior deviation vector based on multi-source data fusion and targeted analysis. According to the method, network situation key information can be comprehensively and accurately captured, a reliable basis is provided for subsequent decision making, the comprehensiveness and real-time performance of threat perception are improved, dynamic balance of safety protection, service efficiency and operation and maintenance cost is achieved by relying on a multi-target game mechanism and a network space digital twinning technology, and the safety and reliability of threat perception are improved. A simulation deduction deviation value is introduced as a core index of strategy evaluation, a real network situation is simulated through a digital twin environment, the difference between a strategy execution effect and an expected target is quantified, and in combination with reproduction of an attack scene by the twin environment, deviation value analysis is ensured to be more fit with the real network environment.

The invention discloses a report analysis method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. The report analysis method comprises the following steps: receiving a target analysis task through a front-end interaction layer; calling a pre-training language model through an artificial intelligence body, and splitting the target analysis task into a plurality of sub-tasks; each subtask corresponds to one business requirement; respectively calling a query interface corresponding to each subtask through an artificial intelligence body based on a sequence relationship among the plurality of subtasks, querying the target report, and obtaining a query result corresponding to the subtask; and calling the pre-training language model through the artificial intelligence, analyzing the query result corresponding to each sub-task, and obtaining an analysis result for the target analysis task. According to the report analysis method and device, the electronic equipment and the storage medium provided by the invention, the pre-training language model is called through the artificial intelligence to gradually disassemble the complex analysis task, so that the accuracy of report analysis in a complex query scene can be improved.

The invention discloses an error log supervision method, device and system and a storage medium. The error log supervision method comprises the steps of obtaining error log information of a target business system; analyzing the error log information, and determining target analysis information; a code line of a target code is positioned according to the target analysis information, submission information of the code line is obtained, and the submission information comprises a code submission object; adding comment information in the code line, wherein the comment information comprises part or all of the target analysis information; in response to the adding operation of the comment information, a prompt message is sent to the code submission object, and the prompt message comprises part or all of the comment information. Therefore, the corresponding code line can be automatically positioned, the analyzed error log information is added into the comment, and the code submission object can be notified in time, so that the convenience of code maintenance is improved.

The invention discloses a high-risk operation identification method based on access behavior frequency, and particularly relates to the field of port behavior chain analysis, and the method comprises the steps: recording a starting port, a response port, trigger time and an execution sequence of an access request in a target system, and constructing an access behavior chain according to an access conduction path; and counting the access frequency of each port in a preset time window, setting an interval range formed by an access frequency upper limit value and an access frequency lower limit value, and defining the ports with the access frequencies in the interval range as a target analysis port set. By constructing a chain response mapping structure of port access behaviors and combining a path truncation test and structural independence index calculation, a latent high-risk port which is in a silent state but has a system core linkage function is identified, so that the problems that a passive activation port is difficult to identify and an induced chain attack path lacks perception are solved.

The invention relates to the field of news event analysis and visualization, in particular to a multi-target dynamic composition intelligent guiding system and method for sudden news events, and the system comprises a news event monitoring analysis subsystem which is used for monitoring and analyzing existing news events, mining important news entities and obtaining event dynamic chains, and a target analysis subsystem which is used for receiving the information and sending the information to a target analysis subsystem; the method comprises the following steps of: performing clustering analysis on news keywords and entity objects, identifying related important news events and main bodies, receiving the events and main body information by a composition subsystem, performing composition modeling to obtain a news relation graph, receiving the news relation graph by a multi-target composition intelligent guide subsystem, constructing an event topology spectrum tensor and generating a dynamic characteristic matrix, and performing multi-target composition intelligent guide on the news relation graph. According to the method, a multi-target optimization guide vector field is generated, finally, the news relation graph is dynamically guided, comprehensive monitoring, mining and traceability of sudden news events are achieved by establishing a complete news event monitoring and analysis system, and the comprehensiveness and accuracy of event discovery are effectively improved.

Embodiments of the present application provide a method, medium and electronic device for automatic data analysis, the method comprising: obtaining an original data file and a current analysis target; obtaining a target data table according to initial data characteristics of the original data file; obtaining updated data characteristics corresponding to the original data file according to the target data table; inputting the updated data characteristics and the current analysis target into a pre-constructed analysis method recommendation knowledge base to obtain a candidate analysis method set; performing effect simulation pre-evaluation on at least part of the analysis methods in the candidate analysis method set according to the target data table to obtain real-time performance evaluation indexes of each method; obtaining a target analysis method selected for the current analysis target based on a reinforcement learning decision model; and analyzing the target data table using the target analysis method to generate an analysis result.

The application discloses a kind of software evaluation method, device, equipment and storage medium, and specifically discloses: receiving the software requirement document uploaded by user, and the software requirement document is parsed, and target analysis data is extracted;Target analysis data includes function item description, data element type and file reference type;Based on function item description and interface image associated with function item description, a multi-modal fusion analysis technique is used to classify the function items, resulting in a classification result;The function items are checked for duplicates, resulting in a first inspection result, and the data element types and file reference types are checked for form, resulting in a second inspection result;Form checking includes illegal character checking and character duplication checking;According to the classification result, the first inspection result and the second inspection result, a function point analysis table is generated, and a software evaluation report is generated based on the function point analysis table.

This invention provides a bitstream analysis method, apparatus, storage medium, and electronic device. The method includes: acquiring the raw bitstream reported by a target camera device accessing a server, wherein the server has an analysis function to analyze the raw bitstream, and the analysis function is configured in the server through an acquired configuration file, which is pre-acquired from camera devices that have historically accessed the server; determining, based on the capabilities of the target camera device, whether the target camera device has performed target analysis on target bitstreams included in the raw bitstream; extracting the target bitstream from the raw bitstream and performing target analysis on the target bitstream. This invention solves the problem of poor intelligent analysis capabilities of camera devices in related technologies, achieving the goal of enhancing the intelligent analysis capabilities of camera devices and improving the efficiency of intelligent analysis.

The invention provides an active network diagram automatic generation method, system and device, and relates to the technical field of network diagram automatic generation. The method comprises the following steps: firstly, obtaining to-be-processed project data; secondly, performing feature mining on the to-be-processed project data by utilizing a semantic feature mining model included in the target analysis network, and outputting target project semantic features corresponding to the to-be-processed project data; then, analyzing semantic features of the target project by utilizing a semantic feature analysis model included in the target analysis network, and outputting a plurality of monitoring activities and a relationship among the plurality of monitoring activities; and finally, based on the plurality of monitoring activities and the relationship among the plurality of monitoring activities, generating a corresponding target activity network graph. Based on the above content, the problem of low reliability of active network graph generation in the prior art can be improved.

Embodiments of the invention provide a test data analysis method and apparatus, an electronic device and a storage medium, and can execute at least one analysis operation while obtaining test data for a target server in real time: the first analysis operation can generate to-be-input content based on unanalyzed data; in each subsequent analysis operation, to-be-input content can be generated based on the unanalyzed data and the summary of the analysis result obtained by the previous analysis operation, the to-be-input content is input into the large language model for analysis, and the analysis result corresponding to the Nth analysis operation is obtained; and combining the analysis results corresponding to each analysis operation to obtain a target analysis result. By means of the method, manual operation is not needed, the automatic analysis process of the test data generated in the heat dissipation test process of the server can be achieved, the analysis efficiency of the test data is improved, and the relevance of contexts during analysis of the test data is improved.

This application relates to a substation monitoring system and method. The system includes: a sensor module, at least one local condition analysis module, and a substation data center module; wherein, one local condition analysis module corresponds to one equipment bay and is connected to the sensor module within the equipment bay; the sensor module is used to send target monitoring data to the local condition analysis module using a standardized interface; the local condition analysis module is used to provide standardized power to the sensor module, receive the target monitoring data, and perform conversion, alignment, and analysis processing on the target monitoring data to obtain preliminary analysis results, and send the preliminary analysis results to the substation data center module; the substation data center module is used to receive at least one preliminary analysis result and determine the target analysis result based on at least one preliminary analysis result. This method can improve the availability and reliability of the substation monitoring system.

The invention discloses a forest fire spreading trend prediction method, system and device and a medium. The method comprises the steps of obtaining multi-source environment data related to a plurality of target analysis items; based on the common environment data and the special environment data, constructing a standard prediction template for multi-dimensional forest fire spreading trend analysis, based on the standard prediction template, constructing a standard prediction model, and constructing a corresponding prediction sub-process for each target analysis item, the standard prediction model is integrated with sub-prediction models corresponding to the target analysis items, and the prediction sub-processes are configured to call the corresponding sub-prediction models; and the prediction sub-processes corresponding to the target analysis items are executed in parallel to generate forest fire spreading trend prediction results of the target analysis items, so that the forest fire spreading trend prediction efficiency can be improved through implementation of the forest fire spreading trend prediction method and device.

Embodiments of the present application provide an indoor environment data analysis method and related device, belonging to the technical field of data analysis. The method comprises: obtaining first monitoring data of a target object at a first time and second monitoring data of the target object at a second time under monitoring of a plurality of Lora sensors; obtaining a first correlation relationship between any two Lora sensors of the plurality of Lora sensors according to the first monitoring data, and obtaining a second correlation relationship between any two Lora sensors of the plurality of Lora sensors according to the second monitoring data; determining a first analysis result of the target object according to the first correlation relationship and the second correlation relationship; determining a first data change according to the first monitoring data and the second monitoring data, and determining a second analysis result of the target object according to the first data change and a data threshold; and determining a target analysis result by fusing the first analysis result and the second analysis result. The problem that the correlation between Lora sensors is not utilized in related technologies, thereby resulting in poor analysis effect, is solved.

The invention discloses a large language model information detection method and system based on reverse thinking. The method comprises the following steps: step 1, performing problem modeling and target analysis; step 2, carrying out structured reverse condition enumeration; step 3, condition availability verification is carried out; 4, carrying out missing information quantitative judgment; and step 5, carrying out confidence coefficient calibration and output. According to the method, information integrity detection is converted into a systematized'target-condition 'verification process, and the limitation of a traditional forward reasoning method on information missing recognition is broken through.

The invention provides an analysis model training data generation method and electronic equipment. The analysis model training data generation method comprises the steps that basic training data of a target analysis model is acquired through a first data acquisition instruction, the basic training data comprises a first analysis data table, and the first analysis data table comprises texts and numbers; acquiring data features of the basic training data; forming a training data set of a target data generation model according to the first data acquisition instruction, the basic training data and the data features of the basic training data, and training the target data generation model through the training data set; a second data acquisition instruction and a first data feature combination are input into the trained target data generation model to form derived training data, the derived training data comprises a second analysis data table, and the second analysis data table comprises texts and numbers; and forming model training data of the target analysis model according to the basic training data and the derived training data. According to the embodiment of the invention, the capability of the artificial intelligence model for analysis can be improved.

The invention discloses a foundation pit support dismantling monitoring method and system based on targeted analysis, and belongs to the technical field of data analysis. A foundation pit supporting system targeted three-dimensional model is constructed through a BIM model, key supporting components and high-risk targeted monitoring points are focused, and multi-direction stress sensors are arranged; an initialized simulation monitoring sample set and a real-time monitoring sample set are generated, and theoretical-actual dismantling sequence comparison is achieved; initial and real-time stress data clusters are called and planned as a whole, and construction specification expected conformity is evaluated through dual-targeting requirement conformity (sample set matching degree and stress data difference); if not, accurate early warning is triggered according to the stress deviation weight. The problems that traditional monitoring is poor in targeting, feedback lags behind and early warning is extensive are solved, the safety and controllability of the foundation pit dismantling process are improved, and the method is suitable for dismantling engineering of deep foundation pits and complex supporting systems.

This invention discloses a method, apparatus, equipment, and medium for indicator drill-down analysis. The indicator drill-down analysis method includes the following steps: acquiring the indicator to be analyzed and the analysis target input by the user, and obtaining the initial drill-down path of the indicator to be analyzed based on a preset indicator knowledge graph; performing drill-down analysis based on the initial drill-down path to obtain initial analysis results; expanding the initial drill-down path based on the initial analysis results to obtain the target drill-down path and the node drill-down analysis results of the corresponding path expansion nodes; and generating target analysis results that meet the analysis target based on the target drill-down path and the node drill-down analysis results. This method, by dynamically expanding the drill-down path, realizes the dynamic generation and execution of the target analysis path of the indicator to be analyzed, adapts to changing business rules, significantly improves the fit between the analysis results and the business scenario, and enhances the depth, flexibility, and accuracy of indicator analysis.

The application provides an analysis engine selection method and device, equipment, medium and program product, relates to the technical field of big data and distribution, and can be applied to the field of financial technology or other fields. The method comprises the following steps: in response to receiving a consumption request for a target data object, identifying a consumption scene type and extracting an access demand feature corresponding to the consumption request; determining a matched candidate analysis engine strategy set from a preset analysis engine strategy set based on a table feature vector of the target data object and the access demand feature; performing multi-dimensional evaluation on the candidate analysis engine strategy to determine a comprehensive score, wherein the multi-dimensional evaluation comprises at least one of a performance dimension, a cost dimension, a consistency dimension and a complexity dimension; determining a target analysis engine strategy from the candidate analysis engine strategy based on the comprehensive score, and taking an analysis engine corresponding to the target analysis engine strategy as a target analysis engine.

The present invention discloses a content verification method and system based on LLM security protection. The method comprises: determining data to be reviewed from all data corresponding to the LLM security protection; performing a preliminary review operation on the data to be reviewed based on a predetermined review mechanism to obtain a preliminary review result; and performing a data verification operation on the preliminary review result based on a predetermined target analysis algorithm and data review strategy to obtain a data verification result corresponding to the data to be reviewed. It can be seen that the implementation of the present invention can intelligently verify the data of the LLM protection system, which is conducive to improving the accuracy and reliability of data verification, and further helps to improve the operational security of the LLM security protection system.

The invention discloses a gas safety evaluation method and system based on a simulation scene, a terminal and a storage medium, and the method comprises the steps: obtaining a gas safety evaluation task of a user, carrying out the analysis processing of the gas safety evaluation task, and obtaining a target analysis result; performing scene building according to the target analysis result to obtain a target gas simulation scene, and performing measure making on the target gas simulation scene to obtain scene protection measures; and performing safety test processing on the target gas simulation scene according to the scene protection measure to obtain a gas safety test result, and performing evaluation processing on the gas safety test result to obtain a gas safety evaluation result. According to the invention, the accuracy of a gas safety evaluation result is improved by perfecting a safety evaluation framework and providing a safety verification mechanism, so that the gas safety is improved.

The application discloses a kind of generation method and system of distribution network automation switch action analysis report, when receiving distribution network automation switch action analysis report generation request, obtain the fault tripping data and self-healing feeder group data corresponding to report generation request;According to the fault tripping data, extract a plurality of SOE fault message data through distribution network automation system and carry out pre-processing, generate a plurality of pending analysis message data;Compare each pending analysis message data with self-healing feeder group data, and generate initial action analysis report according to the comparison result selected corresponding target analysis strategy;Using all initial action analysis report, generate target action analysis report;Solve the technical problems that traditional manual analysis needs to spend a lot of manpower and time cost, and is prone to error and omission problem, to cause the technical problem of low efficiency of distribution network automation switch action analysis.

The invention relates to the technical field of computer information security, and discloses a compliance checking method of an operating system, a compiler, equipment, a medium and a product, the method comprises the following steps: analyzing a security configuration file of the operating system to obtain an intermediate representation of at least one compliance rule in the security configuration file, the intermediate representation comprises a target rule type of the compliance rule and a target analysis object; querying a target kernel tracking point matched with the compliance rule in a target storage space based on the target rule type, wherein the target storage space is used for storing a corresponding relationship between the rule type and the kernel tracking point; on the basis of the target analysis object, the target kernel tracking point and the corresponding relation between the compliance rule and the target analysis object, a first checking tool is generated, and the first checking tool is used for conducting compliance checking on the operating system to obtain a first compliance checking result of the operating system. According to the invention, the problem of checking illegal configuration when the configuration of the operating system drifts can be solved.

The application discloses a kind of based on data architecture platform's gas data analysis method, system and terminal, the method includes: obtaining the data to be handled of gas platform, the data to be handled is preprocessed, and target data to be handled is obtained;According to the data architecture platform, the target data to be handled is analyzed according to function demand, and first analysis result is obtained, the target data to be handled is analyzed, and second analysis result is obtained, and the target data to be handled is analyzed, and third analysis result is obtained;According to the first analysis result, the second analysis result and the third analysis result, target analysis result is obtained, and the target analysis result is shown.The application can unify data standard, to facilitate integration and sharing of data, improve the efficiency of data call and data analysis, also improve the security of gas use.

The invention discloses an analysis method, system and device for AUT detection data and a medium, and relates to the technical field of full-automatic ultrasonic detection, and the method comprises the steps: determining a target analysis method in a mapping relation between a data identifier and an analysis method according to the data identifier of the AUT detection data to be analyzed, analyzing the to-be-analyzed AUT detection data based on a target analysis method to obtain standard analysis data; and according to a pre-established analysis neural network model, analyzing and processing the standard analysis data to obtain an analysis report corresponding to the to-be-analyzed AUT detection data. According to the scheme, the unique data identifier of the to-be-analyzed AUT detection data is identified and compared, and the target analysis method corresponding to the to-be-analyzed AUT detection data is determined, so that the efficiency of the data processing process is improved; according to different analysis methods corresponding to different types of to-be-analyzed AUT detection data, normalization processing is carried out on the data, and the normalization of the data is improved.

The present invention determines how to extract data for a peptide precursor and its fragments in an efficient manner when processing the so-called diagonal family of dia- PASEF acquisition methods, such as synchro-PASEF or midia-PASEF. In one implementation of the invention, the entire ion cloud is treated as if it were acquired by a single diagonal DIA window.

The present invention discloses a task analysis method and its system, and electronic device, wherein the analysis method includes: parsing a pre-configured configuration file to obtain configuration information, obtaining an external task request from a preset sorting queue, and generating scheduling information corresponding to the external task request based on the analysis sequence information, and transmitting the external task request to an analysis module indicated by a corresponding analysis module identifier based on a call sequence, wherein the analysis module processes the external task request based on preset processing logic and generates an initial analysis result, determines the processing status of the external task request based on the result determination information and the initial analysis result, and generates a target analysis report when the processing status indicates that the request processing is complete. The present invention solves the technical problem in the related art that the analysis module has low flexibility in arranging the analysis module and cannot adjust the task processing logic in a timely manner.

The invention relates to a power report generation method and device, computer equipment and a readable storage medium, and relates to the technical field of power. The method comprises the following steps: extracting a report theme and data description information of a to-be-generated power report from a power report generation demand text; determining at least one initial analysis item matched with the report theme from a plurality of power report analysis items of a pre-constructed power report knowledge base, and obtaining and displaying an initial report outline; in response to an editing operation and a confirmation operation on the initial report outline, obtaining a target report outline; the target report outline comprises at least one target analysis item; obtaining target power data corresponding to each target analysis item from a power database based on the target report outline and the data description information; and according to the target report outline and the target power data corresponding to each target analysis item, generating and displaying a target power report. By adopting the method, the writing quality and writing efficiency of the power report can be improved.

The invention provides an agent-based sensitive data detection method and device, an agent, electronic equipment, a storage medium and a computer program product, relates to the technical field of computers, in particular to the technical fields of agents, artificial intelligence large models, sensitive data detection and the like, and can be applied to a sensitive data detection scene. According to the specific implementation scheme, an analysis strategy of a to-be-detected file is determined according to a cognitive state of a data format of the to-be-detected file by utilizing an artificial intelligence large model through a decision-making layer of an intelligent agent; analyzing the to-be-detected file according to the analysis strategy through a decision-making layer to obtain target analysis data; and detecting whether the target analysis data comprises sensitive data or not through an execution layer of the intelligent agent to obtain a sensitive data detection result. According to the method and the device, the coverage range of the analysis scene by the analysis operation and the precision and the efficiency of the analysis process are improved, so that the comprehensiveness and the accuracy of a sensitive data detection result are improved.

This application provides a data analysis method, a noise construction method, an apparatus, and a storage medium. In this application embodiment, noise parameters are adaptively selected based on the original analysis values ​​under a target analysis label. Then, the noise to be added to the original analysis values ​​under the target analysis label is determined based on the selected noise parameters, thereby obtaining the analysis result under the target analysis label. Accordingly, in the differential privacy protection process, the original analysis values ​​of different analysis labels can be used as a basis to adaptively determine the noise parameters used for different analysis labels, thereby reasonably controlling the range of noise added under different analysis labels, making the range of added noise compatible with the original analysis values. This not only ensures data security but also guarantees the usability of the analysis results.