62 results about "Traversal algorithms" patented technology

The invention relates to the technical field of industrial data management, in particular to a supply chain data real-time integration processing method and system based on multi-source heterogeneous data, and the method comprises the steps: obtaining an external compliance data document, calling a document layout analysis model based on a multi-modal converter, extracting a text semantic vector, fusing the text semantic vector with a two-dimensional space coordinate feature to generate a composite index key, and carrying out the real-time integration processing of the supply chain data. Executing clustering analysis to recognize the text blocks and generating structured metadata; carrying out discretization processing on the business transaction data flow, and constructing an associated database with production environment and logistics data as attributes; executing cross-modal entity alignment by using the structured metadata, and establishing a bidirectional pointer link between the unstructured document index and the associated database; receiving a query vector, executing a recursive traversal algorithm based on a bidirectional pointer link, calculating a cascade influence probability as a correlation sorting score, and outputting a retrieval result; through multi-modal feature fusion and cross-modal entity alignment, deep integration and risk linkage retrieval of supply chain heterogeneous data are realized.

The invention discloses a software supply chain risk detection method and system, a medium and a product, and relates to the technical field of risk detection. The method comprises the following steps: acquiring multi-source heterogeneous data of a software supply chain, and constructing the multi-source heterogeneous data into a multi-dimensional software supply chain relation graph; querying nodes and attributes associated with the target asset node based on the multi-dimensional software supply chain relation graph to extract risk features; obtaining an initial risk score of a vulnerability node associated with the target asset node from the public vulnerability library, calculating the shortest propagation path depth between the vulnerability node and the target asset node by using a graph traversal algorithm, and adjusting the initial risk score in combination with code reachability analysis to obtain a corrected technical risk feature; and calculating a comprehensive risk score based on the corrected technical risk characteristics, and executing automatic safety examination and approval, interception or manual reexamination operation. By implementing the technical scheme, the software supply chain risk can be comprehensively and accurately detected.

The invention discloses an electric energy meter and terminal logic reliability verification method and system, and relates to the technical field of electric power, and the method comprises the steps: constructing a software state machine model of an electric energy meter or a terminal; generating an optimal verification traversal sequence; converting the traversal sequence into a verification scene instruction set; running the verification scene and collecting whole-course state change and resource use data; and judging and generating a structured inspection report. According to the method, the formal state machine model of the electric energy meter and the terminal software is constructed, and the verification sequence with complete coverage is automatically generated based on the optimal traversal algorithm, so that the logic coverage rate is remarkably increased, state change, service data and resource information can be collected in real time, deep defects such as deadlock, data damage and migration abnormity can be effectively identified, and the method is suitable for popularization and application. And a quantized structured inspection report is generated based on the multi-dimensional rule set, so that the verification process is automatic, reproducible and quantized, and the verification efficiency and accuracy of the logic reliability of the electric energy meter and the terminal software are integrally improved.

The invention discloses a front-end project performance comprehensive optimization method based on artificial intelligence, and the optimization method comprises the steps: carrying out the comprehensive scanning of a project directory through employing a depth-first traversal algorithm, and collecting project data; reading data from the temporary database, distributing the data to each sub-module and unit for special analysis, and storing the data in an analysis result database; reading optimization suggestions from the analysis result database, and automatically executing the optimization suggestions according to preset priorities and rules; performing special optimization on the large project and the migration project; and reading data from the analysis result database and the optimized project database, and displaying the data in a visual form. The defects that in the prior art, manual analysis is low in efficiency and prone to omission, and a tool cannot automatically recognize the code logic problem are overcome, and automatic detection and analysis of the code logic problem are achieved.

A content channel generation device includes: a splitting circuit for generating resource units according to resource assignments; a resource unit assignment circuit for generating a full binary tree according to the resource units; a node computing circuit for generating a minimum full binary tree according to the full binary tree; a load balance circuit for generating user field numbers corresponding to content channels according to the minimum full binary tree and a load balance function; a merging circuit for generating a traversal result of the minimum full binary tree according to a traversal algorithm, and for generating a merged traversal result according to the traversal result; and a common field generation circuit for generating a resource assignment indicator according to the merged traversal result to generate a common field.

The invention discloses a large model lightweight reasoning method and device, computer equipment and a storage medium. The method comprises the steps that a target large model is unfolded into a computational graph, and a semantic path dependency graph is constructed based on intermediate representation; defining a semantic contribution degree index, and calculating the semantic influence degree of each node in the semantic path dependency graph on final output; screening a low-influence path according to a graph traversal algorithm, and performing path pruning in combination with structure limitation to obtain a pruned model; and carrying out structure completion on the pruned model, and carrying out semantic alignment distillation by taking the original model as a teacher model to obtain a lightweight model. The embodiment of the invention relates to the field of artificial intelligence model reasoning optimization, and solves the problems that a pruning method in the prior art depends on structural information, lacks semantic perception and is easy to lose performance. The semantic graph is constructed in the middle presentation layer, task related paths are identified, redundant branches are cut off, the reasoning process is remarkably accelerated on the premise that the precision of the model is kept, and the deployment efficiency is improved.

The invention relates to the technical field of audio loading, and discloses a USB media file loading method and system, a storage medium and equipment, and the method comprises the steps: detecting equipment connection and initializing a pre-scanning process when USB storage equipment is inserted into the system; the method comprises the following steps: quickly pre-scanning a USB storage device, acquiring basic information of media files through a lightweight file system traversal algorithm, and counting the number and types of the media files; based on a pre-scanning result and historical loading data, establishing a time prediction model to estimate loading time, and formulating a loading priority strategy; in the loading process, multi-level progress information including the overall progress, the classification progress and the real-time state is displayed to the user, and dynamically updated remaining time estimation is provided; according to the method, the loading of the media file is executed according to the loading priority strategy, and result verification and cache management are performed after loading is completed, so that intelligent pre-scanning and optimized loading of the USB media file are realized, and the practicability and user satisfaction of the system are improved.

The application discloses a service migration method and system considering reputation and fault-tolerant mechanism, and relates to the field of service migration in a mobile edge environment.The method comprises the following steps: obtaining a starting edge node and a target migration node corresponding to a service, and calculating the total reputation score of the edge nodes in the edge node set; screening the edge nodes based on the total reputation score and the edge node reputation threshold, constructing a path network topology graph, obtaining a migration path set by using a depth-first traversal algorithm, and screening a candidate path set; evaluating the resource redundancy performance of each candidate path and screening a candidate reliable path set; implementing a fault-tolerant redundancy strategy on each candidate reliable path, establishing a fault-tolerant feedback adjustment mechanism, and adjusting the fault-tolerant strategy according to the feedback result; calculating the transmission delay of each candidate reliable path, and selecting the candidate reliable path with the highest comprehensive score as the service migration path.The application effectively improves the stability, reliability and efficiency of the service migration process.

The invention discloses an electric power drawing connection relation extraction method and device based on a graph structure and a storage medium, and relates to the technical field of image processing methods. The method comprises the following steps: detecting non-text layer elements of an electric power drawing, generating element objects of equipment primitives, equipment frames and intersection points, and classifying the intersection points; processing the electric power drawing to obtain a skeletonized binary image, and then performing connected domain segmentation to extract a connecting line object; according to jump point splicing judgment, dynamic splicing is conducted on the connecting line objects, and the incidence relation between the element objects is established through the spliced connecting lines; and establishing an index list pointing to directly connected objects for each element object according to the incidence relation, constructing a topological relation of the whole electric power drawing, and then extracting a required end-to-end connection relation by adopting a depth-first traversal algorithm of the drawing. According to the method, the topological relation of the non-text layer can be automatically and accurately extracted from the electric power drawing.

The invention discloses a mass defense and mass governance efficiency optimization method based on big data analysis, and relates to the technical field of public security big data analysis, and the method comprises the steps: matching continuously updated real-time event data as a seed node in a mass defense and mass governance dynamic affair graph, deducing a high-probability event chain set through a graph traversal algorithm, and carrying out the optimization of the mass defense and mass governance efficiency; performing graph topological structure analysis on the high-probability event chain set, and identifying an intervention node list; and performing matching calculation on the ability portraits corresponding to the intervention strategy task set and the natural community set, assigning the intervention strategy task to the natural community with the highest matching degree for execution, and collecting execution feedback data to update the personnel cooperation relationship network map. According to the method, the corresponding capability portrait is created for the natural community set, so that intelligent grouping and efficiency quantitative evaluation of mass defense and mass treatment power are realized, distribution and utilization of human resources are optimized, and team cooperation capability and task execution efficiency are enhanced.

The invention discloses a logical operation method based on depth-first traversal and stack recursion, and belongs to the technical field of computer logical operation and data processing. The method aims at solving the problems that in the prior art, when a complex nested logic expression is processed, operator priority judgment is complex, short circuit evaluation is difficult to achieve, and code maintainability is poor. The core of the method is that firstly, a nested logic expression to be calculated is abstracted into a tree-shaped or nested array data structure; secondly, a depth-first traversal algorithm is adopted to conduct recursive scanning on the data structure, and in the traversal process, encountered logic operators and basic judgment conditions (calculation factors) or intermediate calculation results of sub-expressions are sequentially pressed into a main stack according to the traversal sequence; when traversal of one sub-expression is completed, an actuator module is automatically triggered; and the executor module pops up a logic operator of the current action range from the main stack.

The application provides a point cloud segmentation method, device and equipment of an angiogram and a medium. The method comprises the following steps: based on the position of each point cloud on the vessel centerline in the vessel binary segmentation image, a plurality of candidate paths of the vessel centerline are determined by using a depth-first traversal algorithm; based on the direction vector of each candidate path in the plurality of candidate paths and a preset reference direction vector, a candidate direction feature list is constructed; for each point cloud, based on the node type corresponding to the point cloud and the candidate direction feature list, the direction feature corresponding to the point cloud is determined, and the position coordinates of the point cloud and the direction feature corresponding to the point cloud are spliced to obtain the point cloud feature of the point cloud; finally, the point cloud feature of the point cloud is input into a pre-trained point cloud segmentation model to determine the point cloud segmentation result of the point cloud in the vessel centerline. Through the method and the device, the segmentation accuracy of the point cloud segmentation network for the vessel image is improved.

The application provides a method for generating self-consistent text based on specific structure and text content and related equipment, and relates to the technical field of natural language processing. A tree structure node set containing hierarchical relationship is constructed through hierarchical identification of a text outline; initial context information is constructed according to obtained knowledge base text content; a recursive traversal algorithm is used to traverse the tree structure node set, and the following is executed at the current node: structured prompt words are generated according to the encapsulated data transmission object, the hierarchical relationship of the current tree structure node, the initial context information and the obtained generation control parameters; a large model interface is called to generate corresponding text segments based on the structured prompt words; at the same time, the current context information including the initial context information is encapsulated into the data transmission object and delivered to all child nodes of the current tree structure node; each generated text segment is received, and each text segment is assembled into a self-consistent target text, so that global structure control and content self-consistency are realized.

The present application belongs to but is not limited to the technical field of shale gas production, and particularly relates to a method and system for ontology graph construction and abnormal cause-effect chain tracing, comprising: S1, well, pry, process, pressure difference, alarm, operation event object and relationship mode; S2, cause-effect chain coding: forming a calculable path of 'upstream equipment-process-downstream abnormality'; S3, realizing bidirectional linkage of ontology graph and detection result. The ontology knowledge graph of different business scenarios in the field of shale gas is constructed, and the well, pry, process, sensor entity and their relationships are defined; when the abnormal detection model outputs the result, the result is mapped to the graph; through graph query or graph traversal algorithm, the upstream and downstream associated entities of the abnormal node are automatically traced, and natural language explanation is generated; an interface supporting semantic query is provided, and the user is allowed to ask questions in an exploratory manner.

This invention relates to the field of power system automation testing technology and discloses a fault-tolerant testing method for automated equipment based on an event knowledge graph. The method includes the following steps: extracting entities, relationships, and attributes of fault events from multi-source heterogeneous data, constructing a triplet knowledge representation, eliminating entity ambiguity through semantic alignment technology, and forming a unified fault event knowledge graph; and employing a weighted subgraph traversal algorithm based on the fault event knowledge graph. The aim is to address the problems in existing fault-tolerant testing methods, such as test case generation relying on human experience, difficulty in automatically extracting related event chains from multi-source heterogeneous data to construct scenario-based test cases, lack of temporal logic and physical model constraints in fault injection leading to a disconnect between abnormal message sequences and real fault characteristics, and lack of comprehensive intelligent analysis capabilities for multi-dimensional response signals and a self-evolution mechanism for test knowledge in test result analysis, thus failing to form a continuously learning adaptive intelligent testing system.

The invention discloses a graph structure data layout optimization method for a Qt tree layering and dynamic force oriented graph, which comprises the following steps of: loading graph structure data and carrying out data preprocessing, converting original data into a structured data table containing node attributes and connection relationships, dividing node levels through a depth-first traversal algorithm, and carrying out layout optimization on the structured data table; and dynamically generating a fan-shaped initial layout according to the degrees of the nodes, carrying out layout iterative optimization calculation by adopting a force-oriented layout algorithm, determining the position information and topological connection relationship of each primitive after optimization, and carrying out visual implementation and interaction on the optimized graph structure data layout. According to the scheme of the invention, through cooperation of hierarchical and elastic constraint mechanisms, the readability of a graph containing circulation / multiple father nodes is improved, a dynamic updating strategy enables layout to maintain overall stability during interaction, the structure confusion degree is reduced, and pre-layout processing and a parameter dynamic attenuation strategy effectively improve the convergence speed of a force steering algorithm.

The present application belongs to the technical field of network system management, and specifically discloses a shortest path routing search method, system, device and storage medium, which performs traversal search on a target network by using a breadth-first traversal algorithm, obtains a traversal search result, constructs a network topology graph, then determines all paths from an initial node to a terminal node, calculates the initial hop count of each path, and then judges whether there is a node corresponding to a same-machine-room device in each path, if there is, the hop count between the nodes corresponding to the same-machine-room device is cleared, if not, the original hop count is maintained, and the optimized hop count of each path is obtained again, and the path with the smallest optimized hop count is taken as the shortest path. The present application optimizes the network routing path, selects the shortest path, is more in line with the actual characteristics of the network system, saves the network optical cable resources in the same machine room, can efficiently and accurately construct the network topology graph, and improves the network system management efficiency.

The invention discloses a method and system for automatically mining telecommunication integral operation risk control rules based on a decision tree, and relates to the technical field of integral application and risk control. The method comprises the following steps: constructing a multi-dimensional user behavior characteristic system; training the feature data by adopting an improved C4.5 decision tree algorithm to generate a risk control rule tree with business interpretability; converting the rule tree nodes into executable business rules through a path traversal algorithm; the integrated rule engine realizes risk real-time interception and graded early warning; and a rule full-life-cycle monitoring and dynamic tuning mechanism is established. According to the method, the problems that a traditional risk control rule depends on artificial experience, coverage is incomplete and updating lags behind are solved, full-process automation of the risk control rule from mining, deployment to optimization is achieved, and the accuracy and efficiency of risk identification and the self-adaptive capacity of the system are remarkably improved.

The application relates to a brain-inspired data service system and method, characterized by constructing a hierarchical architecture: a mixed deployment data node cluster, specifically composed of core nodes, collection nodes and gateway nodes, respectively processing core business data, real-time edge data and cross-domain connection; a small-world connection layer realizes efficient communication in the same domain through high-cluster local connection and breaks data islands through dynamic long-range cross-domain connection; an intelligent control layer integrates a DMN control hub, cooperates with a state monitoring engine, a prediction analysis module and a resource scheduler driven by reinforcement learning. The system initializes the topological structure through a small-world network manager, dynamically inserts a long-range connection when the cross-domain node communication frequency exceeds a threshold value, and ensures that the cross-domain path hop count is stable and does not exceed a preset value. The DMN control hub realizes double-mode switching based on the system load threshold value: in the idle period, data pre-cleaning, knowledge graph construction and predictive prefetching and resource pre-allocation are performed; in the task period, a routing optimization algorithm is combined with graph traversal.

The invention discloses a benefit association detection method based on deep relationship mining and a graph neural network technology, and belongs to the field of data analysis and mining. The method specifically comprises the following steps: firstly, establishing a cluster architecture comprising a review system main server, a cloud database and an object storage resource packet; then, a review identity card and a unified social credit code of the competing enterprise are imported to carry out unique identification verification; then, in combination with associated enterprises which are stored in a review database and have a benefit relationship with the review database, a DFS multi-level traversal algorithm is adopted to calculate a benefit association path between the review and the associated enterprises, and optimization and combination with participating enterprises are carried out to form benefit relationship graph structure data: review-associated enterprises-participating enterprises; and finally, processing graph structure data by using a graph neural network, and judging whether benefit association exists between review and competing enterprises or not. The method aims at accurately selecting judges without interest intersection for scenes such as competition and item selection, and the fairness and justice of the competition or item selection process are ensured.

This invention belongs to the field of sparse matrix storage and distributed parallel computing technology. It discloses an adaptive storage and parallel computing method for sparse matrices based on vertex cutting and two-stage compression. The method includes: initializing a cross-linked list in memory for dynamic assembly of sparse matrix elements; reducing the dimensionality of the dynamically assembled cross-linked list data structure to a one-dimensional continuous compressed sparse row format using a two-stage traversal algorithm; constructing a heuristic diagnostic model based on row non-zero variance and diagonal occupancy to achieve adaptive matrix storage; extracting the pure graph topology after removing self-loop elements on the main diagonal of the sparse matrix, and performing multi-way recursive graph segmentation based on vertex cutting on the pure graph topology to generate a distributed mapping array; and constructing a communication scheduling table based on the distributed mapping array to achieve deep overlap between non-blocking data exchange and local matrix computation. This invention significantly improves the storage compression rate and parallel computing scalability of large sparse matrices.

This invention discloses a method for full-coverage path planning of unmanned aerial vehicles (UAVs) that integrates a greedy strategy and the A* algorithm. It belongs to the technical field of full-coverage path planning, and its operation steps are as follows: First, initialize the map and obstacles, and define marker quantities; second, evaluate the attributes of surrounding points and use a greedy strategy to select the next point; then, determine whether a dead zone has been entered. If so, use the A* algorithm to replan a path to escape the dead zone; if not, continue using the greedy strategy to find the next forward point; next, check the coverage completion status, checking whether each point is covered; finally, verify the effectiveness of the full-coverage traversal algorithm in a 3D environment. This invention solves the problems of low efficiency, low coverage rate, high repetition rate, and limitations in complex environments of current technologies when dealing with full-coverage traversal inspections, detections, and cleaning in chemical industrial parks and coal mines, as well as agricultural plant protection.

The application provides a kind of multi-dimensional BOM collaborative management method, medium and system based on knowledge graph, belongs to BOM technical field, and the application establishes the multi-dimensional BOM collaborative management framework based on knowledge graph, adopts entity alignment and relation reasoning technology to fuse multiple data source BOM information into unified knowledge graph structure, utilizes horizontal fragmentation storage strategy and primary key attribute index to optimize data organization mode, constructs intelligent cache strategy, identifies hot BOM subgraph and utilizes cache capacity function to optimize memory resource configuration, introduces BOM intelligent optimization model, adopts multi-head attention mechanism and recursive feature refining structure to realize intelligent decision of component selection and assembly path, realizes accurate BOM change influence analysis and control through graph traversal algorithm and change propagation depth function, and solves the technical problem that multiple data source BOM information lacks unified collaborative management, resulting in low query response efficiency.

The invention provides an investigation report data arrangement method and device based on a data structure file and a medium, and belongs to the technical field of big data. The investigation report data arrangement method comprises the following steps: acquiring a data structure file provided by a service system, and maintaining a data mapping relationship corresponding to the file according to a service demand; designing node tags of each level of the data structure file, and summarizing the data structure file to a file analysis directory according to the node tags and a data mapping relationship to obtain data structure information; analyzing all data structure information under the file analysis directory through a depth traversal algorithm according to the node labels corresponding to the hierarchies to form data node formatting information; and calling a data processing interface to generate an investigation document instance, and outputting data node formatting information to the investigation document instance in real time according to the hierarchy of the data structure file to form a complete investigation report. The problems that in the prior art, the labor cost is high, the abnormal probability is high, and documents are difficult to integrate rapidly can be solved.

The invention relates to the technical field of power grid data processing and analysis, in particular to a topology correction method for transmission, transformation and distribution equipment with topology and ledger consistency and computer equipment. According to the method, firstly, attributes and topological information of transmission, transformation and distribution equipment are extracted from a PMS system, and a logic connection graph is constructed; on the basis of the logic connection graph, topological connectivity and ledger consistency proofreading in the specialty, between transmission and transformation specialties and between transformation and distribution specialties are executed in sequence, and all non-connected equipment and ledger inconsistent items are marked; wherein the inter-specialty proofreading adopts a sequence traversal algorithm to respectively verify communication paths and ledger information from a power transmission line to a transformer substation bus and from a distribution network line to a transformer substation outgoing circuit breaker; and generating a governance work order based on a marking result, and directionally pushing the governance work order to an operation and maintenance party to complete a data correction closed loop. Based on the method, the problem that the machine account information is not matched with the topological information can be effectively solved, so that the operation and maintenance precision of the power grid is improved.

The invention provides a production abnormity real-time response method and system based on a graph structure, and the method comprises the steps: building a directed graph based on a product structure tree and a resource model, and enabling the directed graph to represent the dependency relationship and influence range among components, processes and resources; the operation state of the production system is monitored in real time, and abnormal events are recognized; based on the directed graph, utilizing a graph traversal algorithm to start from abnormal nodes corresponding to the abnormal events, spreading influences to the upstream and the downstream, marking all influenced nodes, and generating an influence domain list; carrying out recalculation on the influenced node to obtain a local recalculation result; and fusing the local recalculation result with the scheduling state of the original production system to generate a final scheduling result, thereby realizing the effects of avoiding performance reduction caused by global rearrangement and improving the real-time performance and efficiency of production abnormal response.

The invention provides a dynamic page construction method based on component aggregation type recursive nesting and a related device, and belongs to the technical field of software development, and the method comprises the following steps: obtaining page configuration information generated by a user through a visual interface dragging component; serializing the configuration information into a JSON format, performing version management storage, and converting the configuration information into an abstract syntax tree with a tree structure through a recursive analysis engine; analyzing the abstract syntax tree based on a depth-first traversal algorithm, and maintaining a node path stack in a traversal process to detect a cyclic reference relationship between the components; determining matched target data from the real-time data according to the component nesting hierarchy, and dynamically binding the matched target data with corresponding component attributes; and finally, generating a rendering instruction based on the type of the terminal equipment and a binding result, and realizing self-adaptive rendering of the page elements. According to the method and the device, rendering collapse caused by circular reference is effectively avoided, accurate dynamic binding of the data and the component is realized, and cross-terminal adaptive display is supported.

The invention belongs to the technical field of comprehensive energy service and energy storage, and relates to a big customer comprehensive energy online and offline full-cycle service method and system, the system and the method are driven by data, user load characteristics are automatically analyzed to identify peak-valley difference users, energy storage economic optimal capacity is calculated in physical and investment constraints by adopting a traversal algorithm, and energy storage efficiency is improved. An executable charging and discharging strategy is generated, automatic report generation and multi-terminal interaction are achieved, online and offline platforms are integrated, full-period service management from customer intention and technical analysis to operation is achieved, and the problems that enterprise user energy storage investment decision depends on experience, technical and economic analysis is complex, and the service process is split are solved. The technical effects of improving investment decision scientificity, ensuring global optimization of configuration, reducing energy consumption cost and optimizing service efficiency and customer experience are achieved.

The application relates to the technical field of data analysis, in particular to a code vulnerability reachability analysis method based on a vulnerability database, which comprises the following steps: obtaining keywords in each vulnerability code segment in the vulnerability database and keywords of each node code extracted by a CPG (Code Property Graph) code attribute graph; extracting a node feature vector of each node in the CPG code attribute graph and a vulnerability feature vector of each vulnerability code segment, obtaining adjacency abnormality of each node and vulnerability triggerability, obtaining vulnerability confidence of each node in combination with a difference degree of vulnerability triggerability between different nodes in the CPG code attribute graph, and identifying vulnerability nodes in the CPG code attribute graph; and adopting a DFS (Depth-First Search) depth-first search algorithm to identify reachability of the vulnerability nodes in the CPG code attribute graph, so as to obtain a reachability analysis result of the code vulnerability. The application can improve the accuracy of code vulnerability reachability analysis.

The application relates to the technical field of vector graphics rendering, in particular to a vector graphics rendering method based on a rendering engine, which comprises the following steps: in the rendering engine initialization stage, a rendering kernel and a multilingual adaptation layer independently running are built, color font analysis logic is built in the kernel, color composite data is analyzed through an improved font table traversal algorithm, and glyph description information is stored in an independent glyph cache pool; a rendering request in an upper layer is converted into an instruction stream through the adaptation layer, a target glyph is extracted, a vector path is precompiled, an intermediate representation of hardware acceleration adaptation is generated, and pixel cache-aware rasterization calculation is performed to generate a raster image. The method can stably analyze color glyph data, glyph storage and calling are more efficient, the rendering kernel and the multilingual interface are more adaptable, hardware acceleration matching is higher, rasterization calculation and cache resource adaptation are more coordinated, and the overall rendering process is smoother.