17 results about "Recursive analysis" patented technology

This invention relates to the field of fault testing technology, specifically to a method for monitoring inter-turn short circuits in dry-type air-core reactors based on the magnetic field difference method. This method constructs a reference electromagnetic coupling matrix by introducing regularization constraints in the initial baseline stage. Based on the recursive analysis of the three-phase current energy thermal accumulation index, it combines the magnetic field residual to fit a thermally induced magnetic field drift model. By combining the joint constraints of the reference electromagnetic coupling matrix and the thermal drift model, the normal thermally induced magnetic field drift component is dynamically removed during real-time monitoring. Under the constraints of the reference electromagnetic coupling matrix, the current vector is optimized through weighted least squares state estimation. The structural consistency deviation index is obtained by comprehensively considering the dual-dimensional deviations of the magnetic field and current for fault monitoring. This invention balances linear electromagnetic transfer laws with nonlinear thermal drift compensation for monitoring, adapting to the complex magnetic field environment and variable load operating conditions of dry-type air-core reactors, providing continuous and reliable monitoring assurance for the long-term stable operation of the equipment.

The invention relates to the technical field of data analysis, in particular to a customized multi-thread analysis method for an equipment model based on an XML (Extensible Markup Language) file. Comprising the following steps: S1, configuring an equipment XML file and an XML analysis configuration file; s2, constructing an index table and a mapping table; s3, determining a target equipment model needing to be analyzed; s4, performing task allocation and recursive analysis; s5, combining and outputting analysis results; according to the equipment model customization analysis method based on the XML file, when the equipment type or the component type needing to be analyzed is newly added, only the newly added equipment type in the XML analysis configuration file and the component type and the attribute tag corresponding to the newly added equipment type need to be modified, and codes do not need to be reconstructed; and the equipment XML file can be specifically analyzed according to the equipment type, the component type list and the attribute tag list in the file through the XML analysis configuration file, so that the problems of resource waste and overlong time consumption caused by full analysis can be avoided.

The invention relates to a three-dimensional part color recovery method and device, equipment, a medium and a product. The method comprises the steps of obtaining an initial model file corresponding to a target part; recursive analysis processing is conducted on the initial model file, a topological shape set and a color set are obtained, and the color set comprises colors corresponding to all topological shapes in the topological shape set; obtaining a target assembly structure corresponding to the target part, and constructing a target shape combination based on the topological shape set and the target assembly structure; and performing color mapping processing on the target shape combination by using the color set and the target assembly structure to obtain a color model file corresponding to the target part. By adopting the method, the visualization accuracy can be improved.

The invention relates to an interface document automatic generation method and device, electronic equipment and a storage medium, and the method comprises the steps: analyzing a project source code to obtain a structure library and packaging functions, and constructing a function mapping table according to parameters and structure fields in each packaging function; based on the analyzed project source code, positioning a processing function and interface information corresponding to each interface path, and determining a response expression finally returned by the processing function; if the response expression is called by a packaging function, injecting a parameter type of a real parameter in the response expression into a structural body field of a corresponding packaging function according to a function mapping table, and performing recursive analysis on each field after the parameter type is injected in combination with a structural body library to obtain a field type tree; calling a large language model to perform semantic description on the field type tree and context information of each field to form an enhanced data structure; and integrating the interface information and the enhanced version data structure to generate an interface document. The accuracy of interface document generation is improved.

The invention discloses a carbon asset data tracing method, device and equipment based on industrial internet identifier analysis, a medium and a product, and relates to the technical field of carbon asset management. The method comprises the following steps: initiating a recursive analysis request to an industrial internet identifier analysis system; the recursive analysis request is generated based on a unique identification code of to-be-traced carbon asset data; in response to the recursive analysis request, obtaining a target data storage address corresponding to the unique identification code, a digitally signed carbon asset data packet and a verification public key; the digital signature is generated by encrypting the carbon asset original data associated with the unique identification code by using a private key paired with the verification public key; verifying the digital signature based on the verification public key; and when the verification is passed, calling carbon asset full life cycle metadata associated with the carbon asset data packet from the target data storage address to complete traceability. According to the invention, data traceability can be realized, and the carbon asset management efficiency is improved.

The application discloses a gear box fault diagnosis method and system based on scatter recurrence analysis, and belongs to the technical field of wind turbine fault diagnosis, and comprises the following steps: collecting vibration signals of a wind turbine gear box under different health states; utilizing scatter recurrence analysis to represent sensitive fault features in the gear box vibration signals from multiple dimensions; proportionally dividing the multi-dimensional features into a training set and a test set; inputting the training set to train an intelligent fault diagnosis model based on a support vector machine; and finally inputting the test set data into the trained SVM to obtain a gear box fault diagnosis result. The application combines nonlinear dynamics and machine learning to provide a diagnosis method and system capable of accurately identifying various faults of a wind turbine gear box, provides a reference for realizing efficient operation and maintenance of the wind turbine, and guarantees reliable and stable operation of the wind turbine.

The application discloses a running-in state identification method based on a friction signal threshold-free recursive analysis result, extracts nonlinear components of a friction signal time sequence output in a friction and wear process by collecting the friction signal time sequence; constructs a threshold-free recursive matrix by combining a sliding window and an avoidance embedding phase space reconstruction method and realizes visualization of the threshold-free recursive matrix in a two-dimensional plane; divides a lower triangular matrix of the threshold-free recursive matrix into several regions by a group of equidistant line segments parallel to a main diagonal line of the recursive matrix, extracts mean values of recursive elements in the regions, analyzes a change rate of element values of the threshold-free recursive matrix when the threshold-free recursive matrix transitions along the main diagonal line to edges and corners as a recursive measure, analyzes variation rules of the recursive measure along with a running-in and wear process, and further realizes running-in state online identification driven by the friction signal threshold-free recursive analysis result. The application optimizes a recursive characteristic representation and a measure extraction method of the friction signal time sequence, and realizes running-in state online identification from a perspective of dynamics-friction coupling.

The present application belongs to the field of intelligent analysis of electrocardiosignal, and proposes a coronary heart disease detection system based on electrocardio dynamic and static fusion and joint recursive analysis. On the basis of variational mode decomposition of electrocardio vector signal and the change rule of the electrocardio vector signal, the joint recursive method is used to fuse the information of the static domain and the dynamic domain of the electrocardio signal, and the recursive fusion features that can complement each other are extracted. The limitation of insufficient features extracted from a single data domain is avoided, and the reliability of the diagnosis result is improved. The present application can capture the complementary information between the static domain and the dynamic domain of the electrocardio signal, fuse multi-level signals, reveal the internal rule of the electrocardio signal, better understand the pathogenesis, and provide a reliable basis for coronary heart disease detection.

The present application relates to the technical field of knowledge graph reasoning, and particularly relates to a knowledge reasoning method and system, comprising: receiving a user query sentence containing a reasoning rule identifier, identifying the reasoning rule identifier according to a preset rule, if the reasoning rule identifier exists, based on the reasoning rule identifier, calling rule definition information containing reasoning condition information and a top rule type from a rule database; if the reasoning condition information contains a nested reasoning rule identifier, converting it into a basic triple pattern set layer by layer through recursive analysis, and then structurally processing the set according to the top rule type to obtain intermediate query elements, combining the original query sentence of the user to generate a query sentence, and executing to obtain a reasoning result. The fixed architecture of the traditional reasoning engine is difficult to adapt to dynamics, resulting in the need to redeploy the engine after updating the rules, and the need to modify the reasoning logic when the data structure changes, thereby limiting the application flexibility and expansion capability of the reasoning engine. The present application has the effect of improving the flexibility and expansion of knowledge reasoning.

The invention provides a robot control method and system, and relates to the technical field of artificial intelligence. In the method, m pieces of first interface information of the ROS are obtained, and m is a positive integer. And for each piece of interface information in the m pieces of first interface information, obtaining an interface definition file according to the type of the first interface information. And performing recursive analysis on the interface definition file based on AST to obtain corresponding annotation information and parameters. Semantic information is obtained from the annotation information based on the NLP, wherein the semantic information comprises detailed description of functions and parameters of the first interface information. Based on the interface name, semantic information and parameters of the first interface information, p pieces of second interface information conforming to the MCP are generated, and p is a positive integer; in response to a first natural language instruction of a user, generating a first operation command based on the LLM and the p pieces of second interface information; and instructing the robot to execute the first operation command based on the ROS and the MCP to obtain first return information for displaying a result.

The invention relates to a long document content review method based on artificial intelligence, and belongs to the field of artificial intelligence and information security. According to the method, for a long document or a super-long document, firstly, differential analysis is carried out according to document types, contents such as texts and pictures are extracted, and semantic analysis and text extraction are carried out on the pictures by utilizing a multi-modal large model; and for the text, performing slicing processing and extracting an external link, and realizing multi-level detection and abstract generation of external webpages, documents and pictures by combining a recursive analysis mechanism. Sensitive data detection, spelling and grammar verification and semantic consistency analysis are sequentially carried out in the review analysis module, context multi-modal correlation analysis including image-text correlation and external link correlation is executed through a large model, and a structured review result document is generated. According to the method, the automatic, high-efficiency and recursive content review of the complex long document can be realized, and the intelligent level of content compliance detection, risk identification and information security management and control is greatly improved.

Provided are systems and methods to transform a specified source dataset into a fully defined data format that details every attribute value in all levels for each document or record in the source dataset. According to various embodiments, the systems and methods are configured to execute recursive analysis on a specified data source, build out a fully specified data format and associated meta-data, enable user adjustments to a fully schema, and trigger automatic generation of code to transform the source to the new destination format even in the presence of polymorphic data. The process to scan source data involves recursively evaluating every attribute value in all levels for each document or record in the source dataset to account for any polymorphic data. The scan determines each attribute's data type usage, datetime formats and can interrogate string data to identify objects within string data.

This invention discloses a method, apparatus, electronic device, and storage medium for generating risk identification reports, relating to the field of financial technology. The method includes: identifying indicator names by parsing unstructured text in a report template and matching them with a metadata database to construct a target indicator set; performing quality pruning and threshold verification on the data, removing invalid fields and marking abnormal indicator states; constructing a business dependency directed acyclic graph with abnormal indicators as root nodes; and achieving dimensional and dependency attribution through recursive analysis to form assembled data containing attribution fragments. Data completeness is double-verified to generate a structured completeness summary. Combining the assembled data, the completeness summary, and output format constraints, a large model is invoked to generate a risk identification report, clearly marking the locations of missing data. This invention effectively solves the problems of data uncertainty, high interaction costs, resource waste, and analysis delays in existing technologies.

The application relates to an interface document automatic generation method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a structure library and an encapsulation function by analyzing project source code, and constructing a function mapping table according to parameters in each encapsulation function and structure fields; based on the analyzed project source code, locating processing functions and interface information corresponding to each interface path, and determining a response expression finally returned by the processing functions; if the response expression is an encapsulation function call, injecting a parameter type of an actual parameter in the response expression into a structure field of the corresponding encapsulation function according to the function mapping table, and combining the structure library to perform recursive analysis on each field after the parameter type is injected, so as to obtain a field type tree; calling a large language model to perform semantic description on the field type tree and context information of each field, so as to form an enhanced version of a data structure; and integrating the interface information and the enhanced version of the data structure, so as to generate an interface document. The application improves the accuracy of interface document generation.

The invention discloses an unstructured message processing method, system, equipment and medium, and belongs to the technical field of data analysis processing, and the method comprises the steps: constructing a heterogeneous source data model, locking an atomization component sequence, extracting effective elements through feature cutting and cascade recursion analysis, and finally loading the effective elements to a standardized target model. The system comprises a source data model building module, a component sequence locking module, a feature recognition and cutting module, a cascade analysis model building module, a recursive circulation driving module and a structured recombination module. According to the invention, through dynamic arrangement of the atomization component and a multi-level cascade mechanism, precise recursive analysis of the complex nested message is realized. Component hot loading and strategy dynamic updating are supported, and flexible capacity expansion is achieved on the premise that high availability of services is guaranteed. The method gets rid of dependence on complex regularization, the processing efficiency of the unstructured data is remarkably improved, and the maintenance cost is reduced.

The malicious shortcut file analysis and threat detection method of heuristic recovery mechanism, the analysis engine guided by resilience, adopts the dynamic byte sequence processing mechanism to adapt to the underlying data, uses the sliding window algorithm to accurately locate the variable length field terminator to extract the hidden string, and through the recursive analysis strategy, deeply traverses the undocumented nested structure and extension block. In the analysis process, the analysis exception is regarded as a threat feature for archiving, and the parameter adaptive iterative extraction strategy is adopted to ensure the full acquisition of data. Based on the complete analysis result, a three-dimensional threat model covering deception, evasion and execution is constructed, and the deep mapping of the malicious shortcut file from the binary structure to the logical behavior is realized. The present application not only significantly improves the analysis success rate of variant samples, but also effectively extracts the fingerprint characteristics of automatically generated samples, providing key technical support for modern shortcut-based defense confrontation.

The invention discloses a condition expression extraction method, system and device, a storage medium and a program product, and relates to the technical field of data analysis, and the method comprises the steps: converting an SQL statement into an AST based on an SQL analysis engine and a grammar rule file corresponding to an SQL dialect; traversing the AST by utilizing a preset visitor mode, and identifying and screening out at least one condition context node meeting a preset target condition type; and performing recursive analysis on each conditional context node, extracting a corresponding conditional expression, and constructing a corresponding structured conditional expression tree. According to the scheme, the AST is traversed in the visitor mode to recognize the multiple conditional context nodes, and conditional logic can be completely extracted from the SQL statement on the premise that manual intervention is not needed; and meanwhile, recursive analysis is performed on each conditional context node, and a structured conditional expression tree is constructed, so that an extraction result has a tree expression form which retains an original nested structure and semantics.