809 results about "Tree structure" patented technology

The invention relates to a simulation method for a semiconductor device, electronic equipment and a computer readable storage medium. The method comprises the steps that a multi-way tree structure is constructed based on grid data of a gridded semiconductor device, the multi-way tree structure at least comprises a root node, a plurality of layers and a plurality of leaf nodes, and each leaf node represents a corresponding polyhedron in a plurality of polyhedrons in the gridded semiconductor device; in response to the determination of the first spatial position of the particle in the semiconductor device, determining a first search path from the root node to a first leaf node in the plurality of leaf nodes based on the corresponding relationship between each leaf node and the corresponding polyhedron; and in response to the particle moving from the first spatial position to a second spatial position within the semiconductor device, determining a second search path in the multi-way tree structure based on the first search path to determine a second leaf node representing the polyhedron where the second spatial position is located. According to the method, the ion implantation simulation performance is effectively improved.

The invention discloses an invalid code automatic elimination method and device, a medium and a product, and the method comprises the steps: carrying out compiling analysis processing on each program file in a to-be-processed target program item, generating a syntax tree model, and testing the compiled program file to obtain a program test result; unused variables in all the variables are identified through a syntax tree model, and uncovered code lines are positioned in combination with a test result; analyzing logic judgment conditions of uncovered code lines based on the syntax tree structure, and judging the code lines which cannot be triggered as unreachable codes; unused variables and unreachable codes in the program files are removed, new program items are obtained, and when the new program items are correctly compiled and executed, the new program items are used for replacing the target program items. Program redundancy is reduced, and execution efficiency is improved.

The invention discloses a knowledge question-answering method and system based on a large language model and a semantic abstract. The system comprises a tree structure abstract generation subsystem which comprises a knowledge base configuration module, a file management module, a document analysis module and a knowledge block management module and is used for automatically generating tree structure hierarchical knowledge blocks for large manual documents or multi-chapter manual documents; the dual-channel retrieval engine subsystem comprises a question rewriting module, a semantic abstract retrieval module, a detail knowledge block retrieval module, a father-son retrieval module and a prompt word construction module, and all the modules work cooperatively to ensure that semantic abstract knowledge blocks and detail knowledge blocks related to the question of the user are retrieved. According to the method, by introducing the semantic abstract based on the tree structure and the two-channel retrieval, perception of global knowledge and accurate extraction of local fine-grained knowledge can be achieved at the same time, and then the ability of a knowledge base question-answering system in processing the general and inductive problems is improved.

The invention relates to a query optimization method and device based on agent planning, electronic equipment and a medium. The method comprises the following steps: pre-retrieving a target tree structure index based on a user query request to obtain a pre-retrieval result set; generating a retrieval-reasoning double-stage directed acyclic graph task chain comprising a task type, a retrieval / reasoning target and a dependency relationship; executing each task according to a topological sequence, and obtaining a target text fragment through query rewriting and expansion; and performing multi-hop logical reasoning in combination with the task chain and the target text fragment, and outputting a final answer. Therefore, dynamic task planning of environment perception is carried out by constructing a retrieval-reasoning dual-stage directed acyclic graph task chain and combining a knowledge base tree structure index; the problems that when an existing retrieval enhancement generation system processes a multi-hop question and answer task, logic association understanding ability among retrieval fragments is insufficient, semantic matching precision is low, and a reasoning path is prone to deviation are solved, and the retrieval recall rate and the answer accuracy under a multi-hop question and answer scene are improved.

The invention provides an elevator part full-period traceability management method and system based on a block chain, and the method comprises the steps: firstly collecting working condition time sequence data and metal fatigue crack ultrasonic signals during the operation of an elevator, extracting damage quantitative feature data from the ultrasonic signals, and then, carrying out the traceability of the elevator part; fusing the two types of data in a timestamp alignment mode to construct an elevator component health index model; then performing block processing on the original data and generating block hash values, organizing the hash values into a tree structure, only uploading the root node hash value to the block chain, and storing the original data in an under-chain distributed system; the integrity of data under the chain is verified through a zero-knowledge proof technology, and when verification is passed and management conditions are met, full-life-cycle traceability management of elevator components from production to scrapping is achieved in combination with a health index model and a block chain system. According to the method, the accuracy of elevator part health state evaluation and the non-tampering property of the traceability data are improved.

The invention discloses a graphical interface automatic control code generation method based on a large model agent, which comprises the following steps of: firstly, generating a task execution track through interaction between a ReAct agent based on a large language model and a graphical interface environment, and translating a hard coding action in the track into a soft coding action based on a semantic positioning page element; constructing a track library of a tree structure; then, on the basis of information in the trajectory library, a retrieval enhancement mechanism is adopted to generate an RPA function capable of being independently executed, and the RPA function is synthesized on the basis of soft coding actions and is automatically injected into robustness control logic; then executing the RPA function, if execution fails, triggering breakpoint analysis, and optimizing the RPA function through a mixed trajectory; and finally, testing the generated RPA function, and selecting to execute the RPA code or back to the ReAct agent for execution according to a verification result. According to the method, an automatic generation process from an intelligent agent interaction track to a robust and reusable RPA function is realized.

The invention provides a quantum measurement and control system supporting global feedback. The quantum measurement and control system comprises a plurality of measurement and control devices which are connected in a tree structure. The measurement and control equipment in the tree structure comprises feedback board cards and a control chip, the feedback board card located at a root node obtains board card configuration parameters through a first transmission port, and the feedback board card located at a child node receives the board card configuration parameters from a second transmission port of the feedback board card of an upper-level node through a second transmission port; the feedback board card is used for sending a feedback signal to the control chip based on the board card configuration parameters and generating board card configuration parameters associated with the child nodes; the control chip is used for responding to the feedback signal to generate a regulation and control waveform signal of the quantum bit, providing the regulation and control waveform signal to the quantum computer, receiving a quantum state signal fed back by the quantum computer, processing the quantum state signal and providing a processing result to the feedback board card; and the feedback board card is also used for receiving a processing result provided by the control chip and a processing result provided by the measurement and control equipment of the next node.

The invention provides a high-performance virtual scrolling method and system supporting a large-scale tree structure, and the method comprises the steps: constructing a dual-mapping data table structure of the tree structure, which comprises a node mapping table and a sublevel relation mapping table; when it is detected that the node height changes, the virtual rolling rendering engine generates a flattened rendering list in real time based on the unfolding state of the corresponding node in the node mapping table; the virtual rolling rendering engine calculates rendering positions of nodes in the visual area through a dynamic position prediction algorithm; in response to the rendering location and the device type, the virtual scrolling rendering engine dynamically adjusts the virtual scrolling window and the tree structure node hierarchical indentation pitch, and renders in the virtual scrolling window according to the flattened rendering list. According to the application, the data relationship and the rendering position are decoupled through the double-mapping data table structure, the smooth rolling of ten thousand-level nodes can be realized, the memory occupancy rate is reduced, the interaction response speed and the rendering performance are improved, and the method has rolling stability, cross-device display consistency and deployment flexibility.

The invention discloses a substrate management controller firmware integrity verification method and electronic equipment, and relates to the technical field of server management, and the method comprises the steps: building a tree structure layered according to a storage path prefix through obtaining the storage path and content data of each function module, the full-coverage verification of all functional modules of the firmware of the baseboard management controller is realized; according to the method, the security level labels in the structured description information are screened, and the verification path is determined for the target function module, so that the redundant operation of full firmware mirror image hash calculation is avoided, and the calculation amount and time consumption in the verification process are reduced; hash is recalculated based on the target function module and path consistency is verified, whether the target function module is tampered or not can be rapidly judged, all firmware data does not need to be traversed, verification comprehensiveness and efficiency are both considered, and bandwidth resource consumption is reduced; all function modules are associated through a storage path and content data, tree structure verification logic is combined, and refinement of firmware verification from a full mirror image level to a function module level is achieved.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a complaint text reply method and electronic equipment. The method comprises the following steps: performing semantic segmentation on a complaint text to obtain a plurality of semantic units, and extracting semantic vectors from the plurality of semantic units to obtain a semantic vector set of the complaint text; selecting a target topic matched with the semantic vector set from a pre-constructed domain knowledge tree, wherein the domain knowledge tree is used for describing a topic distribution domain of the complaint content in a tree structure; and generating a reply text for the complaint text according to the reply thinking chain corresponding to the target topic. According to the method, the reply accuracy of the complaint text can be improved.

The invention relates to the technical field of forest resource investigation and monitoring, and discloses a natural forest multi-source point cloud registration method and system based on point cloud segmentation optimization, and the method comprises the steps: laying a sample plot, collecting the diameter at breast height, the height and the crown breadth of a single tree, and obtaining the space coordinates of the single tree in combination with RTK; according to the method, unmanned aerial vehicle laser scanning and backpack laser scanning are adopted to collect and preprocess point cloud data of a research area, an ICP algorithm is adopted to align a source point cloud with a target point cloud through rotation and translation, point cloud registration is achieved through a minimization error function, point cloud registration precision and errors are quantified through evaluation indexes, and point cloud registration evaluation is carried out. Therefore, the point cloud registration precision is effectively improved through a segmented registration strategy, limitation caused by single sensor data can be overcome through fusion of BLS and ULS multi-source point cloud data, the extraction precision of tree structure parameters is remarkably improved, and the method is not only suitable for point cloud registration of natural forests, but also suitable for point cloud registration of natural forests. And reliable data support and technical support are provided for forest resource monitoring and ecological protection.

The invention relates to the field of forest ecological monitoring and operation management, and provides a method for quantifying the complexity of a three-dimensional structure of a forest canopy based on LiDAR and fractal dimension. Aiming at the key bottleneck that traditional canopy structure quantitative indexes are difficult to represent cross-scale three-dimensional space heterogeneity, high-precision three-dimensional point cloud data are acquired by using foundation and tower footing LiDAR, and precise individual tree segmentation is realized in combination with a machine learning clustering algorithm and tree structure features. According to the method, the three-dimensional void rate of the forest stand canopy is calculated, and the fractal dimension of a single tree is calculated by adopting a box counting method. The weight of a single tree is determined by comprehensively considering a single tree structure and a spatial distribution pattern of the single tree structure, the fractal dimension of a stand scale is calculated, a canopy structure complexity index is constructed in combination with a stand three-dimensional void rate, and scale-free quantification of the forest canopy three-dimensional structure complexity is achieved. According to the method, typical temperate zone secondary forest monitoring data is used for simulation and verification, and technical support is provided for forest accurate operation (cutting and complementary planting), carbon sink evaluation, biodiversity protection and the like.

The invention discloses a difference interaction method for a visual editor, which comprises the following steps: converting bottom data of the visual editor into a tree structure, and setting a unique identifier and a path index for each node in the tree structure; comparing the original tree structure with the newly generated tree structure through a tree difference algorithm according to the path index to obtain difference nodes, generating atomized Patches in one-to-one correspondence, and mapping the atomized Patches and the nodes through unique identifiers; and according to the atomized Patch, semantic description is obtained through a semantic interpretation engine so as to generate semantic Patches, and the semantic Patches are visually displayed so as to respond to user confirmation to perform dynamic updating. Through tree structure modeling, atomization difference analysis and semantic interaction, the problems of black box, version control deficiency, insufficient interaction experience and the like of a generative AI auxiliary visual editor in the prior art are solved.

The invention relates to the technical field of industrial intelligent control, and discloses a multi-model collaborative optimization industrial MES intelligent control system. The system comprises a data analysis module, a knowledge enhancement module, a collaborative decision engine module, a decision fusion module and a control execution module. And the data analysis module executes tree structure-based data link analysis on the MES multi-source heterogeneous data, and constructs a production data tree structure with a multi-layer father-son relationship. And a knowledge enhancement module injects a domain knowledge template into each node of the structure to form a knowledge-enhanced production data graph structure. And the collaborative decision engine distributes the graph structure to a plurality of heterogeneous artificial intelligence models for parallel analysis through the unified service gateway. And the decision fusion module performs fusion processing based on confidence weighting on the output of each model to generate a comprehensive control decision instruction, and finally the control execution module drives the MES to complete production adjustment, equipment optimization and material scheduling. According to the system, the accuracy, the real-time performance and the interpretability of industrial intelligent decision making are improved.

The invention discloses a building design modeling method and system based on a parameter entity and a Boolean relationship thereof, and the method comprises the steps: converting a plurality of building components into geometric body data based on a structure shape, and abstracting a single geometric body into a whole model according to the Boolean relationship between the building components required by the design; the method specifically comprises the steps that firstly, building design related component data given by a user is preprocessed, a two-stage structure is adopted to redefine a geometry, the geometry is stored, and the Boolean relation between components is represented through a tree structure; the preprocessed data are transmitted into a grid generation solver, and a final three-dimensional model and affiliated topological information are obtained through background grid and contour surface construction, topological information integration and grid post-processing. The method can ensure that the building design modeling process has good robustness and calculation efficiency.

The invention discloses a multi-dimensional tree form control generation method and device, and relates to the field of data processing. The method comprises the steps of obtaining a flattened original data array, an expandable dimension array, a maximum dimension hierarchy and a configuration object issued by a background; initializing a core data structure; original data and all nodes are traversed, father nodes are searched, the relation is established, and a two-channel tree structure is constructed; generating and rendering a table view based on the constructed tree structure; and in response to user interaction, dynamically unfolding and folding table nodes by maintaining inter-row reference and folding states. According to the method, the natural hierarchy and the interactive expansion hierarchy of the data are separated through the dual-channel tree structure, and the problems of hierarchical disorder, low rendering efficiency and slow interactive response of a traditional tree table during multi-dimensional data analysis are solved by utilizing a path key mapping and state local updating mechanism; efficient and flexible multi-dimensional data display and interaction are realized, and the method is suitable for enterprise-level data analysis scenes.

The invention discloses a permission matching method and device, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-matched path; performing permission rule matching on the to-be-matched path based on a pre-constructed permission rule tree; when the permission rule in the permission rule tree is matched, determining a corresponding rule control permission based on the permission rule, and obtaining a permission matching result of the to-be-matched path; and when the permission rule in the permission rule tree is not matched, determining a preset default control permission as a permission matching result of the to-be-matched path. According to the method, the accurate child nodes, the single-wildcard child nodes and the multi-wildcard child nodes are integrated through the permission rule tree of the single tree structure, common permission matching scenes such as accurate matching, single-segment wildcard matching and cross-multi-segment wildcard matching can be covered without introducing a regular expression, the integrity of the expression ability is guaranteed, the implementation complexity is reduced, and the implementation efficiency is improved. And the system stability is improved. And meanwhile, the problem of matching logic confusion caused by traditional multi-rule scattered storage is avoided.

The invention relates to the technical field of medical knowledge retrieval, in particular to a knowledge retrieval enhancement generation method based on a double-track evidence chain, which comprises the following steps of: performing unified preprocessing on a multi-source and heterogeneous electronic medical record text; constructing a bidirectional index tree structure of the single medical record according to the semantic structure of the medical record; establishing a multi-medical record aggregation knowledge graph based on semantics and support relationships among nodes in the single medical record; on the basis of the multi-medical record aggregation knowledge graph, dividing a community to generate a subject medical record aggregation community; receiving a natural language query input by a user, and performing intention recognition and entity extraction; matching the nodes based on the query anchor point set by using the multi-medical record aggregation knowledge graph to generate candidate medical records; through a bidirectional index tree structure of a single medical record, executing constrained downlink backtracking from a high-level anchor point according to a query intention, minimizing redundancy, and extracting an evidence chain; and performing joint reordering on the candidate medical records and the evidence chains thereof, generating traceable output, and realizing medical record knowledge retrieval.

The invention discloses an aluminum wheel die-casting die temperature closed-loop regulation and control system and method, and belongs to the technical field of aluminum alloy die-casting forming and intelligent control, the system comprises a data acquisition module, specifically a temperature sensor, a flow sensor and a pressure sensor which are arranged at key positions of a die, and the data acquisition module is in communication connection with a prediction module; the prediction module adopts a CNN-LSTM composite neural network model, the prediction module is in communication connection with an optimization decision module and provides a prediction value, the optimization decision module adopts an integrated tree structure Pareto estimator (TPE) and provides an optimal decision to the execution control module, the execution control module is a PLC, and the PLC is connected with the prediction module. And a feedback learning module is also arranged and is used for carrying out online updating on the prediction model and the optimization strategy according to the control effect data. The method can effectively reduce energy consumption and manual intervention cost, and has remarkable practical value and economic value.

A tree-structured world state storage method, a recovery method, and a computer device. The storage method comprises: with respect to generated / updated tree nodes, according to a logical page structure obtained by division, generating corresponding memory pages, the memory pages being used for representing content of all corresponding tree nodes in the logical pages, wherein the logical pages are results obtained by aggregating several upper and lower adjacent tree nodes according to a node association relationship of the tree structure, each logical page contains at least one tree node, and the tree nodes in different logical pages are mutually exclusive; on the basis of changes in the contents of all the tree nodes in consecutive versions of the logical pages, generating base pages and delta pages; and persisting the base pages and the delta pages in one database without distinguishing between a currentDB and a historyDB.

Techniques for determining adversarial cost(s) representing an object in an environment are described herein. For example, a vehicle may generate candidate action(s) (or trajectories) and input such candidate actions into a tree structure. The vehicle can determine a control trajectory for the vehicle to follow based a determining which of the candidate actions to follow at each layer in the tree structure. The vehicle can determine which candidate action to follow based on determining adversarial cost(s). To generate the adversarial cost(s), the vehicle can detect an object and determine associated object trajectories. Based on a likelihood that the object will deviate from a predicted object trajectory, the vehicle can determine one or more sub-factors that may be combined to generate the adversarial cost(s). The vehicle can be controlled based on the adversarial cost(s).

The invention provides a front-end code evaluation method and system, electronic equipment and a program product, and the method comprises the steps: obtaining a front-end code, carrying out the compiling and rendering of the front-end code, and obtaining a generated front-end page and a target front-end page; performing code extraction processing on the generated front-end page and the target front-end page, and performing redundant node cleaning and code structure tree generation processing on extracted markup language codes to obtain a generated code tree and a target code tree; performing tree structure and element content error calculation processing on the generated code tree and the target code tree to obtain a content structure error; performing visual structure error calculation processing on the generated front-end page and the target front-end page to obtain a visual structure error; and according to the content structure error and the visual structure error, determining and obtaining an evaluation result for generating the front-end code. The scheme can improve the generation accuracy of the front-end code, and can be widely applied to the technical field of artificial intelligence.

The invention discloses a side slope three-dimensional deformation monitoring and early warning method and system based on a cascade single-line multipoint crack meter. The method and system are suitable for deformation monitoring and landslide state forecasting of a side slope area without macroscopic cracks. The method comprises the steps that a monitoring main line is planned in a potential slip area in the main slip direction, intelligent fusion nodes are arranged on the main line, multi-direction monitoring branch lines are led out, and a tree-shaped monitoring network is formed; two ends of the main line are anchored in a stable area, and tail ends of the branch lines are fixed on a slope; the node devices synchronously collect relative displacement and three-dimensional attitude data in the main line direction and the branch line direction, a three-dimensional deformation field is built in combination with an early warning model, and landslide state study and judgment and threat range prediction are achieved. The system achieves multi-point and multi-direction displacement monitoring through a tree-shaped structure, has the advantages of being wide in coverage, low in cost, flexible in arrangement and the like, and supports early-stage automatic early warning of slope disasters.

Disclosed are methods and apparatuses for image data encoding / decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

The embodiment of the invention provides a robot process path data processing method and device based on geometrical characteristics, and the method comprises the steps: obtaining a process template according to the geometrical characteristics of a workpiece and a set process association rule base, and the process template comprises a process sequence and associated process parameters; extracting process sequence keywords, performing algorithm matching with a process path algorithm library to obtain a path generation algorithm, generating an initial robot motion path according to the path generation algorithm and geometric features, and performing path constraint based on process parameters; constructing a hierarchical bounding box tree structure of an obstacle, performing route interference condition detection on an initial robot motion path and the hierarchical bounding box tree according to a ray projection method, if a collision condition occurs, iteratively calculating an obstacle avoidance path offset based on a gradient descent algorithm, and recording a normal vector at a collision point to obtain a correction direction; and correcting the initial robot motion path according to the obstacle avoidance path offset and the correction direction. The robot process path planning method and device can improve the efficiency and accuracy of robot process path planning.

The invention provides an OPC UA information model automatic construction method based on a knowledge graph and a large language model. The method comprises the steps of obtaining an unstructured industrial text, performing semantic analysis on the unstructured industrial text, and extracting a main body entity, an object entity, a method entity and attribute information thereof according to a predefined hierarchical tuple structure; calling an industrial field knowledge graph in real time to perform semantic enhancement on an extraction result; performing similarity calculation and evaluation on an enhanced result, and performing information fusion and duplicate removal based on a similarity evaluation result to obtain an entity-attribute set; generating a tree-shaped hierarchical structure framework by using a large language model, and calling a knowledge graph to perform structural integrity verification; semantic association between the entity-attribute set and the tree structure framework is analyzed, attributes and methods are mapped to corresponding structure nodes, and a mapping reasoning process is output in a natural language form; converting the mapped model structure into a format of XML (Extensive Makeup Language) grammar, and executing automatic compliance check and repair; by designing a progressive task chain of information extraction, semantic fusion, model construction, interpretable mapping and standardized output, a set of complete understanding-enhancement-construction-verification automation system is constructed.

The invention relates to the technical field of power system automation and big data mining, and discloses a power distribution network area grid power failure intelligent early warning method, system and device based on Apriori association rule mining and a medium. The method comprises the following steps: collecting multi-modal heterogeneous data and carrying out standardization processing on the multi-modal heterogeneous data; constructing a multi-layer regional network model to form a physical topology tree structure; establishing a space-time weighted transaction database fusing time attenuation and space weight based on the structure; an improved Apriori algorithm is introduced, and a strong association rule meeting the minimum weighted support degree and confidence degree is mined through bitmap matrix compression and weight vector operation; and finally, the power failure risk probability is calculated through matching of real-time monitoring data and rule base front components, graded early warning is triggered, and an operation and maintenance strategy is generated. According to the invention, the accuracy, timeliness and interpretability of power failure early warning are improved, and intelligent operation and maintenance decisions are supported.

The invention discloses a sea route network construction method based on multistage grid clustering, and the method comprises the steps: setting a navigation region, collecting navigation data, carrying out the noise reduction, preprocessing and segmenting, and obtaining processed data; a space grid structure and a KD-tree structure are introduced on the basis of the DBSCAN algorithm to form a GBSC algorithm; a dynamic threshold mechanism is introduced on the basis of a Douglas-Peucker algorithm, and an adaptive DP algorithm is obtained; screening, clustering and correcting the trajectory segments and the trajectory points by using a GBSC algorithm and an adaptive DP algorithm to obtain a feature point set; a feature point closest to the track point is found in the feature point set through a KD-tree structure, a feature point sequence is obtained, repeated nodes are compressed to obtain a node sequence, adjacent nodes are connected, and an edge set is obtained to construct an adjacent matrix and an edge weight matrix to form an air route network; the method can truly reflect the actual navigation structure of the ship in the sea area, has a high coincidence degree with the original AIS trajectory, and significantly improves the accuracy and reliability of air route extraction.

The invention discloses a data auditing method and device based on artificial intelligence, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, can be specifically applied to the financial and medical fields, and meets high requirements of financial and medical industries on compliance and auditing tracking while improving auditing efficiency and reducing labor investment. The method comprises the steps that in response to a data auditing request, target data to be audited are preprocessed, and a hierarchical tree structure used for describing text content and layout position information of the target data is obtained; based on the large language model, generating a field extraction cue word matched with the data type of the target data, guiding the large language model to perform field extraction on the hierarchical tree structure by utilizing the field extraction cue word, and obtaining a field extraction result output by the large language model; and performing abnormal field auditing and abnormal field evidence labeling on the field extraction result by utilizing a pre-constructed knowledge graph to obtain an auditing result of the target data, and outputting the auditing result.

The invention discloses a communication message log desensitization system, method and device, a medium and a program product. The system comprises: a client adaptation module, which is used for receiving byte data and a message type identifier of an original communication message from a service system through an application program interface; the analysis rule base is used for storing message structure configuration information of various message formats; the processing function warehouse is used for registering analytic functions of various message formats; the analysis processing engine is used for analyzing the byte data into tree structure data based on the message structure configuration information and an analysis function; the desensitization rule base is used for storing desensitization rules of various message types; and the desensitization execution engine is used for synchronizing the traversed tree structure data and the desensitization rule base so as to position a target message domain, and desensitizing the target message domain to obtain desensitized structured log data. According to the embodiment of the invention, the method can desensitize the complex message log, and the desensitization process is low in invasion to a service system and is low in maintenance cost.