66 results about "Target analysis" patented technology

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.

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.

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 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 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 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 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.

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.

The application discloses a POS device log extraction and analysis method, comprising the following steps: constructing and logging into a log analysis system; inputting device information of a terminal device into the log analysis system; extracting log files from the terminal device, uploading the log files into the log analysis system, and associating the log files with the device information; configuring keyword information and screening conditions; configuring multiple analysis strategies according to the keyword information and the screening conditions; establishing an analysis task according to an analysis target, and sending the analysis task to the log analysis system; after the log analysis system receives and analyzes the analysis task, obtaining target device information, a target analysis strategy and a time period; searching for a target log file according to the target device information and the time period, and matching and screening the target log file according to the target analysis strategy; analyzing the screened final log file, and generating a visual log chart according to an analysis result of the final log file. The application further discloses an electronic device and a computer readable storage medium, and work efficiency can be improved.

The invention provides a police moving target continuous tracking system and method based on artificial intelligence. The system comprises a skynet video recording data retrieval unit, an artificial intelligence target analysis unit and a moving track map drawing unit. The skynet video recording data retrieval unit comprises a server; the artificial intelligence target analysis unit is used for video frame picture segmentation, single frame picture analysis and object similarity calculation; the moving track map drawing unit is provided with a map interface and is used for geographic coordinate marking and dynamic track generation; the method comprises the following steps: video retrieval; analyzing a suspected target; drawing a moving track; an artificial intelligence target analysis unit is adopted to be connected with a skynet video recording data retrieval unit, the problems of high-speed processing of massive videos, suspected target recognition and historical track drawing are solved through intelligent analysis and by means of a computer concurrency technology, and finally a visual motion track is directly generated, so that investigation work is effectively assisted.

The application provides a method, device, electronic equipment, computer readable medium and computer program product for performing an analysis task. The method comprises: in response to triggering a target analysis task, obtaining task requirement information and generating a target file based on the task requirement information; calling an analysis planning module to generate an analysis planning file based on the target file, the analysis planning file containing a plurality of task nodes, each task node corresponding to an independent task execution module; for the plurality of task nodes in the analysis planning file, calling the corresponding task execution module node by node to execute the analysis task and generating and storing the analysis result; and generating an analysis report file of the target analysis task based on the analysis result of each task execution module. The application effectively solves the context overload problem of a large model in long process execution by splitting the entire analysis task process into a plurality of subtasks, each subtask being executed by an independent module, and storing the context by file respectively, thereby improving the stability and reliability of the entire system.

The present application relates to the field of written test data analysis, and particularly relates to a written test data analysis system based on artificial intelligence, which is provided with a feature extraction module, which is used to call character scanning data of a plurality of target files to extract character continuity features of single-line characters corresponding to each target file; an identification and division module connected with the feature extraction module, which is used to combine the character continuity features and the axial offset degree of adjacent characters in the single-column characters to calculate a character identification degree representation parameter for the target file to divide the identification category of the corresponding target file; a target analysis module connected with the identification and division module, which is used to identify and analyze the target file based on the identification category; and a confusion response module connected with the target analysis module, which is used to verify and mark the character compact area in response to the determination result of the target analysis module. The present application efficiently processes the character confusion problem, improves the character recognition accuracy, and realizes the structured management of written test data.

This disclosure provides a method and related equipment for providing network auxiliary information. The method includes: sending a first request message, the first request message carrying a target protocol data unit session identifier and unstructured request data, the unstructured request data including a user terminal analysis request prediction element, the user terminal analysis request prediction element including a target analysis identifier, a target user terminal identifier, and a target service flow identifier; receiving a first notification message, the first notification message carrying the target protocol data unit session identifier and unstructured response data, the unstructured response data including a user terminal analysis response element, the user terminal analysis response element including network auxiliary information and a target analysis identifier, the network auxiliary information being generated by the target network data analysis function in response to the user terminal analysis request prediction element. The solution provided in this disclosure can be applied to data transmission in cloud technology.

The invention relates to the field of road nondestructive testing, and discloses a reduced-scale roadbed structure assembly type preparation method suitable for a ground penetrating radar, and the method comprises the steps: building a physical quantity conversion relation based on a similarity criterion of electromagnetic wave propagation, reversely designing the geometric dimension of the model and the minimum effective dimension of the roadbed target analyte by combining the theoretical resolution of the ground penetrating radar; according to the design size, independently replaceable structural layer modules and roadbed target analytes simulating different physical states are prefabricated; a test body is constructed through field assembly for scanning, and continuous testing of multiple working conditions is realized through disassembly of a structural layer module, replacement of a roadbed target analyte and reassembly; and finally, restoring the acquired reduced scale model data into equivalent prototype analysis data by using a conversion relation. According to the method, a large amount of high-reliability ground penetrating radar experimental data can be quickly obtained at low cost, and technical support is provided for establishing a roadbed defect characteristic spectrum database.

The embodiment of the invention provides an equipment control method, a related method and a related device. The equipment control method comprises the following steps: in response to an equipment startup signal, performing function detection on a plurality of functional modules in target equipment to obtain a first functional state corresponding to each functional module; providing an analysis item state based on the first function state corresponding to each function module, wherein the analysis item state is determined based on a mapping relationship between each analysis item and functions provided by the plurality of function modules; responding to an execution instruction for the target analysis task based on the analysis item state, and controlling the target equipment to execute the target analysis task; or controlling the target equipment to send out a first fault prompt based on the analysis item state. The device control method can improve the availability of the target device.

The application discloses a kind of municipal building underground drainage pipe network operation risk assessment method and system, it is related to data processing technical field, the application constructs real-time hydraulic situation three-dimensional tensor by collecting the liquid level and flow rate data of monitoring point, input hydraulic topology expansion gate network obtains future hydraulic situation prediction tensor;Target analysis pipe section is spliced in time and space grid, and the internal physical field characteristics are solved in combination with prediction tensor and physical constraint, and the pipe wall mechanical response characteristic matrix is obtained;Based on the matrix, the pipe wall structure fatigue time-varying state transition chain is constructed, and the transient structure damage risk probability is obtained by Markov chain iterative calculation;Combined with real-time physical field characteristics, construct cross-modal cross attention operator to obtain weight square matrix;Finally, the comprehensive risk score is calculated in combination with the two. The application breaks through the blind area of traditional physical monitoring, realizes the continuous high-precision analysis of microscopic stress state and the dynamic quantification of transient fatigue fracture risk.

The invention discloses a communication data processing method and device. The method comprises the steps that the task type of a to-be-processed task is obtained, to-be-processed data is collected through a data processing system deployed in a target area, and the task type of the to-be-processed task at least comprises a network service analysis task; determining a target analysis mode for analyzing and processing the to-be-processed data according to the task type of the to-be-processed task; the to-be-processed data is analyzed in the target analysis mode, an analysis result is obtained, the analysis result is used for generating a processing scheme of the to-be-processed task, and the processing scheme at least comprises an optimization strategy of the network service scheme. The method provided by the invention at least solves the technical problem of relatively low data analysis accuracy due to adoption of a fixed data analysis mode in related technologies.

The invention discloses an investment decision generation method and related products, and the method comprises the steps: obtaining a to-be-processed target prediction demand, screening out a target analysis framework from an analysis framework database according to the target prediction demand, and further obtaining target index data corresponding to the target analysis framework according to the target analysis framework, and then based on a pre-trained investment decision generation model, according to the target analysis framework, the target index data, the prediction period and the target cue word template, determining a target investment decision result corresponding to the target prediction demand. Therefore, in the face of the target prediction demand, the appropriate target analysis framework can be quickly screened out, the analysis thought does not need to be reconstructed, the reuse of the analysis thought is realized, and the efficiency of investment decision making is improved.

The invention discloses a data processing method and device for Excel files, equipment and a medium, and relates to the technical field of data processing.The method comprises the steps that a target data processing instruction is received through a front end, and standardization processing is carried out to determine an instruction type; if the to-be-merged file is of the merging instruction type, analyzing and processing the to-be-merged file, and judging whether a preset merging condition is met or not based on the file data information, if yes, analyzing the instruction based on a preset large model to generate file merging information, and performing merging operation based on the information; if the to-be-queried file is the query instruction type, feeding back the to-be-queried file to the front end, continuously monitoring, analyzing the file based on a preset large model and an instruction after receiving a target analysis instruction, and feeding back an analysis result to the front end; and if the type of the to-be-imported file is the importing instruction type, analyzing the to-be-imported file to generate a data definition statement based on an analysis result, and creating a data table in the target database to insert data of the to-be-imported file into the data table.

The invention discloses a security alarm method, device and equipment based on chain analysis and a medium, is applied to a security alarm system and relates to the technical field of network security, and the method comprises the following steps: constructing a target context object based on target data of a preset data source, and transmitting the target context object to a filtering node in an analysis link for data filtering, filtering to obtain a filtered object; determining data features of the filtered object, and sending the filtered object to a target analysis node corresponding to the data features in an analysis link for attack analysis to obtain an attack analysis result; and carrying out secondary attack analysis on the attack analysis result based on a preset analysis model, and pushing an obtained target processing result to a corresponding processing platform through an output node in an analysis link, so that the processing platform carries out corresponding security alarm or information pushing based on the target processing result. Therefore, it can be ensured that data of different types of processing nodes can be processed in time, and then alarm accuracy is ensured.