36 results about "Recursive analysis" patented technology

The invention relates to the technical field of fault testing, in particular to a dry-type air-core reactor turn-to-turn short circuit monitoring method based on a magnetic field difference method. According to the method, regularization constraint is introduced in an initial baseline stage to construct a reference electromagnetic coupling matrix, a heat accumulation index is recursively analyzed based on three-phase current energy, a thermally-induced magnetic field drift model is fitted in combination with magnetic field residual errors, and combined with combined constraint of the reference electromagnetic coupling matrix and the thermal drift model, a three-phase electromagnetic coupling model is established. The normal thermally induced magnetic field drift component is dynamically stripped in real-time monitoring; and under the constraint of a reference electromagnetic coupling matrix, fitting and optimizing a current vector through weighted least square state estimation, and integrating magnetic field and current two-dimensional deviation to obtain a structure consistency deviation index for fault monitoring. According to the invention, monitoring is carried out in consideration of a linear electromagnetic transfer rule and nonlinear thermal drift compensation, a complex magnetic field environment and a variable load operation condition of the dry-type air-core reactor are adapted, and continuous and reliable monitoring guarantee is provided for long-term stable operation of equipment.

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.

The invention provides a source analysis method embedded in atmospheric monitoring equipment. The method comprises the following steps: (1) data acquisition; (2) data preprocessing and feature extraction; (3) constructing a lightweight source component spectrum database; (4) performing online recursion analysis calculation; and (5) non-negative constraint and result output. According to the method, the problem of how to systematically and fundamentally solve multiple bottleneck problems caused by time lag, space limitation, huge equipment, lengthy flow and data distortion under the background that a traditional atmospheric particulate matter and gaseous pollutant source analysis system is bound by an off-line sampling-laboratory analysis mode for a long time is solved.

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 application provides a kind of intelligent delivery and replenishment management method and system based on multi-dimensional inventory early warning, belong to goods management technical field, this method includes: obtaining the global demand data and full-link supply data of inventory object, and determining demand fluctuation intensity sequence and supply interruption frequency sequence;The demand fluctuation intensity sequence and supply interruption frequency sequence are cross recursive analysis, determine the mismatch risk evolution path between the goods demand and goods supply;According to the mismatch risk evolution path, the adaptive adjustment coefficient when safety stock is determined, and the safety stock threshold curve that evolves smoothly with time is obtained;When the inventory level of inventory object is lower than safety stock threshold curve, generate out-of-stock risk early warning, when inventory level is higher than safety stock threshold curve, generate backlog risk early warning.The technical scheme provided by the application can realize the adaptive management of delivery and replenishment under the nonlinear coupling effect of demand fluctuation and supply interruption.

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.

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.

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 application discloses a kind of based on phase space reconstruction's control loop regulating valve stickiness detection method, it is related to valve fault diagnosis field.The method of the present application is the nonlinear signal analysis method of unsupervised, the method combines phase space reconstruction, recursive analysis and power spectrum analysis and other technologies, proposes stickiness statistical characteristic index and stickiness distribution characteristic index, to characterize the nonlinear and periodicity law brought by stickiness, only by loop parameter realizes the unsupervised regulating valve stickiness fault detection.The method proposed effectively extracts the stickiness characteristics in recurrence plot, not only simple and convenient to calculate, but also has high interpretability and accuracy, shows the great potential of recursive analysis in valve stickiness detection, provides a method basis for the online monitoring and performance evaluation of industrial loop.

The invention is applicable to the technical field of database management systems, and relates to an SQL dialect adaptive conversion method and interceptor based on recursive parse, and the method comprises the following steps: S10, intercepting an SQL statement at a statement execution interception point of a persistent framework, judging the type of a target database, and skipping a conversion process if the target database is an ORACLE database; s20, performing standardized preprocessing on the SQL statement; s30, executing SQL statement conversion in stages according to the grammar dependency relationship; and S40, writing back the converted SQL to an internal object of the framework through a Java reflection mechanism. The method is simple in process and convenient to operate, realizes zero configuration and zero invasion of a single set of ORACLE SQL while ensuring the conversion accuracy, and can directly run across libraries to automatically convert SQL statements.

The application discloses a tax data blood relation analysis method and device, equipment and a storage medium, and relates to the technical field of data asset management, which comprises the following steps: performing lexical analysis and syntax analysis on a current data query statement input by a user to obtain a word list object; identifying CTE objects in each word list object, and constructing a CTE name set based on CTE names in all CTE objects; performing depth-first recursive analysis on CTE definition bodies in the CTE objects based on the CTE name set to extract internal association structures of the CTE definition bodies; constructing a dependency relationship between each CTE object and other CTE objects or physical tables referenced in the query statement based on the CTE name set and the internal association structures, obtaining a dependency relationship graph, and outputting the dependency relationship graph by using a topological sorting algorithm to obtain a blood relation analysis result. The application can improve the accuracy of data blood relation analysis and is helpful for the smooth completion of data auditing work.

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 invention relates to an operation and maintenance task workflow arrangement system in a distributed graph database, and the system comprises a workflow arrangement layer which is used for carrying out the recursive analysis of a workflow specification inputted by a user, so as to generate an executable DAG operation and maintenance task graph; the task management layer is used for adopting a two-stage submission protocol to ensure the atomic consistency of each operation and maintenance task in the DAG operation and maintenance task graph in a volatile memory and a persistent storage, and performing fault recovery on the uncompleted operation and maintenance task from the persistent storage based on the atomic consistency under the condition of memory data loss; and the conditional task execution layer is used for creating a security isolation sandbox for execution of each operation and maintenance task in the DAG operation and maintenance task graph, and evaluating a task execution result based on a dynamically updated conditional function in the execution process of the current operation and maintenance task so as to determine an execution path of a subsequent operation and maintenance task. Through the method and the device, the problem of how to improve the workflow efficiency of the operation and maintenance task in the graph database is solved.

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.

This invention discloses a refined feature extraction method for the nonlinear recursive characteristics of friction signals, comprising the following steps: noise reduction and filtering of measured friction signals; phase space reconstruction; construction of a phase trajectory recursion matrix and plotting of a recursion graph; and extraction of texture features of the recursion graph using a local binary model. This invention applies a continuously valued membership function instead of the traditional Heaviside function to identify the recursive characteristics between phase points within the reconstructed phase trajectory, solving the problems of rigid boundaries, information loss, and deviations in recursive analysis results caused by binary values. This invention uses a local binary model to extract texture features of the gray recursion graph, achieving a quantitative description of the nonlinear recursive characteristics of friction signals and further enriching the tribological-dynamic coupling research method. This invention optimizes the recursive characteristic extraction technology for univariate time series of friction signals, thereby realizing an online identification method for the running-in state driven by friction signals, and achieving online real-time monitoring of the wear process of operating equipment.

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.

The invention relates to the technical field of computer software and Internet, and provides a dynamic page construction method based on component aggregation type recursive nesting, a computer program product and a system, and the method comprises the steps: obtaining page configuration data; the page configuration data is converted into a tree structure capable of freely defining a father-son relationship through a recursive analysis engine, so that page nesting information with flexibility is generated; generating a rendering instruction corresponding to the terminal type according to the page nesting information; and executing the rendering instruction on the terminal, and finally generating a page. According to the method, for the component with the dynamic attribute identifier in the page configuration data, the attribute marking the data source of the component is defined as the data monitoring channel object, and the information pointing to the data source path is acquired, so that the attribute is replaced with the data monitoring channel object, and the component attribute value is automatically updated according to the change of the data source; and the reusability of the assembly is improved.

The invention relates to the technical field of industrial process control, and particularly discloses a polishing powder size grading screening control system which is characterized in that multi-mode signals are synchronously acquired through an optical diffraction spectrum and an acoustic emission sensor, and a standardized size feature sequence is generated through intrinsic mode decomposition and cross-mode feature fusion; adopting phase-space reconstruction and recursive analysis to quantify the dynamic stability of the process, and calculating a time sequence deterministic factor; joint sensitivity analysis and time-frequency domain coherent processing are carried out on the working condition parameters, a process disturbance characteristic spectrum is constructed, and an external disturbance influence value is calculated; carrying out multi-target collaborative decision making based on a deep reinforcement learning network, and generating a confidence score matrix of process parameter adjustment; and finally, executing an adaptive hierarchical control strategy according to the confidence level, and correcting weight parameters through real-time feedback to form closed-loop optimization.

The invention relates to a fault positioning method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving fault alarm information sent by a micro-service system; performing semantic analysis on the fault alarm information by using a pre-trained large language model based on a topological structure of the micro-service system, and determining a target service associated with the fault; obtaining operation related data of the target service, and performing reasoning analysis on the operation related data of the target service by using a pre-trained second large language model to obtain a fault reason of the target service; and when it is determined that the fault cause of the target service is caused by the upstream service fault of the target service, performing recursive analysis until it is determined that the upstream service causing the fault does not exist, and obtaining the fault root cause of the fault. According to the method, reasoning analysis is carried out through linkage of various operation related data, a fault propagation path is automatically tracked based on a large language model, the efficiency and the intelligent degree of fault positioning and fault root cause analysis can be improved, and the reliability of fault positioning is ensured.

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 a construction method, device and equipment of a register verification model and a readable storage medium, belongs to the field of register verification, and considers that a model can be efficiently constructed based on a preset register model template and related register attribute information, and when the register attribute information is filled into the register model template, the register attribute information can be efficiently constructed. The flattened register attribute information is beneficial to improving the efficiency and accuracy of information filling, so that the register description file of the intellectual property core to be tested can be subjected to recursive analysis processing, and the flattened register information table is generated according to the obtained information; and then the register model is generated based on the register information table and the preset register model template, so that the register verification model can be efficiently and accurately constructed, and the register verification efficiency and precision are improved.

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.