110 results about "Bidirectional map" patented technology

The invention relates to a fabricated building management method and system based on BIM and digital twinning. The method comprises the steps that a BIM project model is constructed; generating project plan information; building a project digital twinborn model based on the BIM project model and the project plan information; driving a project flow process to be executed; receiving feedback information of the Internet of Things to perform space-time constraint rule verification, and driving state evolution update of the digital twin model; when the risk information is recognized, the risk type is judged, and an adaptive regulation and control strategy is executed; according to the method, a bidirectional mapping mechanism of the BIM project model and the digital twinborn model is constructed, time-space constraint verification and state evolution updating are carried out on the construction process in combination with real-time data of the Internet of Things, an adaptive regulation and control strategy is triggered when the risk is identified, real-time monitoring and dynamic optimization of the whole process of the fabricated building are realized, and the construction efficiency is improved. The method has the advantages of improving the collaboration of the construction process, reducing the rework rate and guaranteeing the project progress and quality.

The embodiment of the invention discloses a visual fine adjustment method and device of an interface, a storage medium and a terminal. Firstly, a source code and a running state preview interface are synchronously obtained, and it is ensured that operation is based on a real rendering state. Then, when the user edits the interface elements, the system accurately positions the visual elements to the corresponding positions in the source codes during operation through a pre-established bidirectional mapping mechanism. Based on the accurate positioning, the system generates a code modification instruction and updates the target code. And finally, generating a new preview by running the updated code in real time, completing an operation feedback closed loop, and realizing a real-time editing preview effect. According to the method, manual modification of complex codes is avoided through the complete process, the modification precision is ensured while the low operation threshold is kept through intuitive visual operation, and the operation simplicity and control precision are effectively balanced.

The invention discloses a regulation-work package bidirectional association and dynamic mapping method and system, and relates to the technical field of enterprise compliance management and task management informatization. The method comprises the following steps: constructing a standardized law and regulation library and a work package attribute library, disassembling a law and regulation file into compliance requirement points, and determining multi-dimensional attributes of a work package; forward mapping and reverse tracing binding of the compliance requirement point and the work package are realized through a mapping matching model; performing integrity, consistency and rationality verification on the mapping relation; monitoring the regulation change and automatically updating the mapping relation; and visually displaying the mapping relationship and monitoring compliance execution. The system correspondingly comprises a regulation management module, a work package management module, a bidirectional mapping module and the like. According to the method, closed-loop management and control of law and regulation requirements, task execution and compliance evidence are realized, the problems of unidirectional and static mapping and rough granularity in the prior art are solved, the compliance management and control accuracy and the dynamic adaptation capability are improved, and the compliance risk of an enterprise is reduced.

A multi-granularity semantic alignment method oriented to cross-modal image-text retrieval comprises the steps that multi-layer feature representation of an image and a text is established, and a global vector and a local mark sequence are obtained respectively; capturing fine-grained features with higher information amount by using a mark screening mechanism, and inhibiting interference of redundant and invalid features on representation; under a unified semantic alignment framework, a bidirectional mapping relationship among multi-granularity semantics is constructed, and coarse-granularity, fine-granularity and cross-granularity semantic similarity alignment is comprehensively realized so as to strengthen multilayer semantic consistency constraints; and adaptively integrating the granularity similarities through a weighted fusion module, generating single instance-level similarities, and carrying out descending sorting on candidates. According to the method, the multi-granularity characteristics of the image and the text are comprehensively considered, the image-text retrieval precision in an actual scene can be improved, and the method has good application value in the fields of image-text retrieval, multi-modal content analysis and the like.

The invention belongs to the technical field of path planning, and discloses an underground carry-scraper autonomous navigation path generation system based on front-end and rear-end interaction, which comprises the following steps: fusing multi-source map data, and constructing a space coordinate bidirectional mapping engine coupling physical space and pixel space association; detecting space conflicts between the user-labeled path points and the roadway structure in real time and generating a dynamic path skeleton; road section types are divided, then paths are dynamically optimized, redundant data are synchronously compressed, and an optimized path packet is generated; constructing a route version control tree, dynamically allocating storage resources according to roadway topology, and generating a simulation ready path file package; the transverse error and the minimum roadway wall distance are solved in real time, a verification report is generated, then an overrun event in the simulation trajectory tracking process is captured, a double-channel tracing report is generated, and a path section needing to be corrected is reversely marked; and performing hot update on the optimization rule, quantifying the path adaptability and performing reverse iteration on the core parameter library.

The application discloses a prefix caching method and device suitable for a mixed attention model architecture. In view of the heterogeneous management problem of key-value caching and state snapshot, a unified prefix index mechanism based on chain hashing is proposed, so that the two types of caches share a hash space. The method determines the boundary of the two types of caches consistent and effective through the longest prefix matching and forward traversal verification, combines local snapshot query and remote confirmation, realizes the collaborative recovery and reuse of key-value caching and linear attention snapshot, and reduces the heterogeneous state step-out risk. In the reasoning process, the two types of states are captured synchronously and unified hash index is adopted, and a bidirectional mapping between cache block identification and snapshot hash is established through a double cache coordination manager; when the expulsion condition is met, the linkage cleaning of the two types of caches is realized based on the mapping. The application realizes the unified storage and life cycle collaborative management of heterogeneous caches under the mixed attention architecture, guarantees the whole process consistency, and improves the reasoning performance and system robustness.

The invention discloses a power distribution terminal full-process management and control operation and maintenance system based on a full life cycle, and relates to the technical field of management resource scheduling and process management. Comprising the following steps: a node identifier mapping module extracts a service association identifier, maps the service association identifier into a global identifier by using a coding bidirectional mapping mechanism, and executes right confirmation on a logic management node to generate a node identifier code; the state feature association module executes nonlinear association based on the guarantee priority weight and performs coupling calculation to generate a node state feature value; and the power distribution terminal node auditing module writes the node state characteristic value into a node state database for verification, activates a life cycle management state machine and monitors a node data flow. And when a preset scrap evolution termination condition is met, calling logic logout and triggering a resource redundancy compensation program, and executing deviation comparative analysis and resource configuration parameter correction. According to the invention, the closed-loop management and control of the terminal node in the whole process of the data flow and the state evolution flow is realized by constructing a full-life-cycle data service flow closed-loop management and control architecture.

This application provides a method and related equipment for constructing a skill tree profile of maintenance personnel based on work order task topology mapping, which can improve overall work efficiency. The method includes: acquiring historical work order data from the maintenance work order system, which includes equipment information, task information, and personnel information; performing structured processing on the historical work order data to construct a full lifecycle map of equipment and a personnel skill tree, establishing a bidirectional mapping relationship between task nodes in the equipment lifecycle map and skill nodes in the personnel skill tree through personnel and equipment information; when receiving new work order data, extracting feature information from the new work order data to generate a composite identifier, and verifying the composite identifier against historical composite identifiers in a pre-stored topology cache library, where the composite identifier includes equipment type and task level; if the verification result is invalid, calculating the mapping relationship in real time based on the equipment lifecycle map and the new work order data to obtain the target mapping relationship.

The application relates to the technical field of single sign-on, in particular to a plug-and-play OAuth2 single sign-on authentication service system and method, which comprises the following steps: redirecting to a client according to a login address carrying an authorization code preset by the client; after receiving the authorization code, automatically calling a token interface of an authentication center system to obtain an OAuth2 token, calling a token generation interface provided by an original system by a plug-in client jar package, and obtaining an original system token based on user information in the OAuth2 token; the plug-in client jar package establishes a bidirectional mapping relationship between an OAuth2 access token and an original system access token and between an OAuth2 refresh token and an original system refresh token, and stores the tokens in Redis; and when the OAuth2 token state changes, synchronously updating the original system token state based on the mapping relationship in Redis. The method does not need to make large-scale modification on an existing business system, and reduces integration cost and development difficulty.

The application provides a bridge structure parameterized modeling and drawing method, constructs a bridge general element library with unique topological coding, takes the unique topological coding in the bridge general element library as an associated index, establishes a bidirectional mapping rule of design parameters, element models and drawing elements, generates a bridge three-dimensional model and a corresponding initial drawing framework after inputting design parameters based on the bidirectional mapping rule through parameterized modeling and engineering drawing technology, identifies component priority based on the unique topological coding, constructs a multi-constraint global optimization target, obtains a globally optimal labeling layout scheme through improved genetic algorithm iteration, completes intelligent labeling of the initial drawing, and generates a construction drawing. The application realizes intelligent labeling and synchronous compliance verification of the bridge construction drawing through the unique topological coding of the bridge element and the multi-constraint global optimization solution of the improved genetic algorithm.

The invention discloses an online course generation method, system and device, a medium and a product, and relates to the technical field of artificial intelligence education, and the method comprises the steps: employing a double-link subtitle generation fusing mechanism, and obtaining audio and video subtitles from audios and videos of various types of teaching resources; generating a curriculum introduction and a basic question bank by using a large language model based on subtitles in combination with documents and pictures, and intercepting OCR (Optical Character Recognition) results of first n frames of audios and videos to generate a teacher introduction; determining the knowledge point density of each time point according to the audio and video subtitles, generating interactive test questions in a time period in which the knowledge point density ranks first m%, popping up when the video is played, checking the answering state of the learner and controlling the playing permission; and constructing a three-level knowledge graph, binding graph nodes with teaching resource position information, and establishing a bidirectional mapping relationship with a chapter structure. The problems that in the prior art, information extraction efficiency is low, content quality is difficult to guarantee, interactivity is insufficient, and a graph knowledge structure and a traditional structure are disjointed can be solved.

The application provides a multi-source data knowledge extraction method and system in an audit whole-process scenario, relates to the technical field of auditing, and comprises the following steps: performing entity recognition and relation extraction based on an audit field semantic model to extract candidate knowledge triples; constructing an audit process dependency graph which describes the time sequence dependency relationship and data flow relationship of audit task nodes, mapping the candidate knowledge triples to corresponding nodes, and identifying the knowledge association path across process nodes; based on the knowledge association path, tracing and aggregating the associated knowledge scattered in different process nodes, performing consistency verification and conflict resolution through reverse propagation constraint conditions, and generating knowledge expression enhanced by process semantics; establishing a bidirectional mapping relationship between the audit knowledge network and the audit process dependency graph, performing knowledge retrieval according to an audit query request, and outputting the result. The application can effectively integrate the scattered knowledge in the audit whole process, and improve the accuracy and integrity of knowledge extraction.

The application provides a kind of mobile robot host and slave computer serial communication system and method, and host computer and slave computer all include data encapsulation module, data transmission module and data analysis module, data encapsulation module, the message data to be published is decomposed into byte array using common body format, form message, data transmission module, using direct memory access transmission mode, allow data to be directly transmitted between memory and peripheral, for the data encapsulated by the data encapsulation module of publishing message party is transmitted to the data analysis module of subscribing message party;Data analysis module, the received message is analyzed using common body format, and the accurate data is parsed out, and it is embedded with ROS message bridge node with data encapsulation module, to realize the bidirectional mapping of data;The application can realize efficient and accurate data transmission and analysis between host computer and slave computer, meet the real-time control and data interaction requirements of mobile robot in complex environment.

This invention provides an isolation architecture, a method and system for managing waveform display script objects. The isolation architecture includes: an internal object layer, comprising an internal object factory for creating internal objects corresponding to script commands; a handle mapping layer, comprising a handle allocation module and a bidirectional mapping module, wherein the handle allocation module allocates integer handles to internal objects, and the bidirectional mapping module maintains the bidirectional mapping relationship between integer handles and internal object pointers; and a script interface layer, comprising a custom command set adapted to script syntax specifications, wherein the parameters and return values ​​of each command in the custom command set conform to the basic script data types and do not contain internal object pointer information, and the script interface layer returns integer handles as return values ​​to the script. This solution, by designing a handle mapping mechanism across interpreter boundaries, achieves a clear separation between the script environment and internal object management, improving system security, performance, and maintainability.

The invention relates to the technical field of computer graphics, in particular to a method for dividing and searching a spherical area in a virtual scene. The method comprises the following steps: in response to regional division of a target spherical surface, establishing a bidirectional mapping relationship between a spherical surface coordinate and a cube surface coordinate, the cube surface coordinate comprising a surface index and a two-dimensional coordinate on the surface; each surface of the cube is divided into N * N grids, N is an integer not smaller than 1, and each grid corresponds to one area on the spherical surface; and for a target point on the spherical surface, determining a cube surface coordinate corresponding to the target point according to the bidirectional mapping relationship, and further determining a grid to which the cube surface coordinate belongs according to the cube surface coordinate, thereby completing region division of the target spherical surface. According to the dividing and searching method for the spherical area in the virtual scene, the dividing uniformity and searching efficiency of the spherical area are improved.

The invention discloses an intelligent tendering and bidding question-answering method based on document segmentation, and relates to the technical field of document segmentation, and the method comprises the steps: carrying out the layout analysis of a tendering and bidding document, so as to extract a structural unit set, construct a structural hierarchical relation, and carrying out the sentence processing of each structural unit; constructing a semantic window for the structural unit and generating a mixed semantic window vector, and performing primary segmentation on the structural unit by calculating a semantic gradient to generate a semantic continuous block set; second-level segmentation is carried out on the basis of the length constraint of the token, a text block set is generated, cross-level semantic coding is carried out on text blocks, and block-level vector codes are generated; outputting a local abstract for each text block according to a cross-level coding result, constructing a local abstract set, performing compression to generate a global abstract, and constructing a bidirectional mapping system of clause numbers and the text blocks; and efficient and traceable bidding and tendering document analysis and intelligent question and answer are provided for the user.

The invention discloses a low-resource event relation prediction method based on mode guide fine tuning, and belongs to the technical field of NLP (Natural Language Processing), which comprises the following steps of: generating a special template; establishing a multi-character label bidirectional mapping mechanism, and designing the multi-character label bidirectional mapping mechanism; low-resource adaptive model training: taking efficient utilization of a low-resource sample, stable optimization of a model and retention of optimal performance as targets; and a full-dimension evaluation verification mechanism is established, wherein automatic format processing, multi-dimension index calculation and abnormal fault tolerance are taken as targets. According to the method, event relation prediction is converted into a complete blank filling task through a mode guide fine tuning technology, and effective model training is realized under a small number of labeled samples in combination with special template and label mapping; a special loss calculation method is designed to guarantee training stability, and semantic reasoning and label adaptation capability is improved; an end-to-end automatic processing method is constructed, and the application requirements of high precision and automation in a low-resource scene are met.

The invention discloses a circuit breaker state evolution prediction method based on a digital twinning model, and relates to the technical field of digital twinning, and the method comprises the steps: collecting multi-source operation data, and carrying out the processing to generate an operation condition state data set; constructing a digital twinborn model of the circuit breaker, carrying out state calibration, and generating a state vector; establishing bidirectional mapping between a state domain and an energy domain, and executing forward mapping to generate an energy state vector; constructing a working condition evolution scheduler, extracting working condition semantics, and determining a channel activation sequence and activation intensity; a multiphase flow type transition channel is constructed and jointly driven, and an energy state prediction result is output; a future state evolution result is generated in a reflection mode, and a state trend and a health prediction value are output. According to the method, the digital twinborn model of the circuit breaker is constructed, and a state energy bidirectional mapping and multiphase flow type state transition mechanism is introduced, so that accurate modeling and prospective prediction of the state evolution process of the circuit breaker under the complex working condition are realized.

The invention discloses a mapping method and system based on a bilingual binding engine, and the method comprises the steps: carrying out the analysis of image elements, obtaining first semantic information, carrying out the analysis of a source code file, obtaining second semantic information, constructing a graphic feature vector based on the first semantic information, and obtaining the second semantic information, a code feature vector is constructed based on second semantic information, the dimension of the graph feature vector and the dimension of the code feature vector are aligned, bidirectional mapping is constructed, and the bidirectional mapping comprises a first mapping from the graph feature vector to a code element and a second mapping from the code feature vector to an image element. According to the method, the image elements and the source code file can be deeply understood, bidirectional mapping from the graphic feature vector to the code feature vector is established, and modification and updating are facilitated.

The invention belongs to the technical field of virtual power plant scheduling, and discloses a virtual power plant collaborative scheduling method, system and equipment based on an average field game, and a medium, so as to solve the problems of large modeling difficulty and low calculation efficiency of a virtual power plant scheduling scheme. The method comprises the following steps: constructing a scheduling optimization model of a virtual power plant; establishing a dynamic random game problem considering strategy interaction among a plurality of virtual power plants; based on the average field game theory, interaction among a plurality of virtual power plants in the dynamic random game problem is converted into interaction between one representative virtual power plant and one average field, and conversion is achieved by defining a first average field item and a second average field item; respectively defining mapping functions between the first average field item and the electric energy market clearing signal and between the second average field item and the frequency modulation auxiliary service market clearing signal, and deducing a bidirectional mapping relation; and solving by adopting an iterative algorithm based on the bidirectional mapping relationship, and outputting an optimal scheduling instruction set representing that the virtual power plant is in the equilibrium state.

This invention provides an intelligent design method for building walls based on a semantic-physical dual closed loop, comprising the following steps: acquiring project data and environmental element data of the target project, generating semantic tags and project context, retrieving standard provisions based on semantic tags, and compiling the standard provisions into constraint expressions; constructing an executable design grammar for wall design, establishing a bidirectional mapping relationship between the executable design grammar and the building information model, and generating multiple candidate wall schemes conforming to the executable design grammar under the constraints of the constraint expressions; using a surrogate model to perform multiphysics performance evaluation on the candidate wall schemes, triggering a high-precision solver to verify based on the uncertainty evaluation results, and selecting a set of compliant schemes; iteratively optimizing the set of compliant schemes under the penalty mechanisms of hard and soft constraints, outputting a Pareto optimal solution set, parsing the Pareto optimal solution set based on the executable design grammar, and generating design documents and a compliance audit report.

The invention relates to the field of transformer substation secondary system digital design, in particular to a graph-model integrated transformer substation secondary physical loop model design method. According to the method, an SDD primitive definition library and an SDD component library which are bound with logic functions are constructed, schematic diagram drawing is carried out in a digital design platform based on a diagram-model integrated rule, an SDD logic model is automatically generated in real time, and the SDD logic model is exported as a standard structured file. According to the method, synchronous construction and bidirectional mapping of the secondary circuit graph and the logic model are realized, the problems of graph-model separation and incapability of synchronous updating in traditional design are solved, and a complete data support is provided for digital design, debugging, operation and full-life-cycle management of a transformer substation secondary system.

This application discloses a method, apparatus, and device for auditing vulnerability mechanisms, relating to the field of software security technology. The method includes: extracting vulnerability causal elements and sorting out causal relationships from multi-source evidence associated with vulnerabilities, which is linked to corresponding nodes in a causal graph through globally unique evidence citation identifiers; obtaining a causal graph with vulnerability causal elements as nodes and causal dependencies as edges; extracting observed variables from the multi-source evidence based on the causal graph and constructing a structural equation model based on causal dependencies; solving the structural equation model to obtain the quantitative contribution of each vulnerability causal element to the occurrence of the vulnerability; performing a bidirectional mapping match between the vulnerability causal elements and a pre-set security compliance clause library based on the quantitative contribution to obtain a bidirectional mapping relationship; and integrating multi-source evidence, quantitative contribution, and bidirectional mapping relationship to obtain a structured audit report. This enables complete tracing and accountability for the explanation of vulnerability mechanisms.

The invention provides a synchronous processing method and device for a demand document and a prototype file and electronic equipment, and relates to the technical field of computers. Comprising the following steps: determining each document block in a demand document and each prototype node in a prototype file; allocating a first identifier to each document block in the demand document and allocating a second identifier to each prototype node in the prototype file; establishing a bidirectional mapping relationship between each document block in the demand document and each prototype node in the prototype file according to the first identifier of each document block in the demand document and the second identifier of each prototype node in the prototype file; generating a target change data set according to a change operation currently executed by the first party in the demand document or the prototype file; and synchronously changing a second party in the demand document or the prototype file according to the target change data set and a bidirectional mapping relationship between each document block in the demand document and each prototype node in the prototype file. According to the method, long-term stable bidirectional synchronization of the demand document and the prototype file can be realized.

The invention discloses a Tibetan inverted word offset conversion and reverse reduction method, and relates to the technical field of Tibetan information processing and information security crossing. The method comprises the following steps: S1, splitting Tibetan syllables into seven types of core components according to a structure rule of the Tibetan syllables; s2, obtaining original sequences and corresponding offset sequences of various components according to an offset rule of Tibetan inverted words, and constructing a bidirectional mapping table; meanwhile, establishing a special basic word mapping table of the special basic words and the conventional basic words; and S3, reverse text recognition restoration or normal text encryption. The technical scheme of precise and efficient bidirectional processing can be achieved, the method becomes a key for solving the bottleneck of current Tibetan ancient book research and promoting development of related fields, and the method has important practical significance and application value.

The invention discloses a data quality detection method and device, equipment and a medium, and belongs to the technical field of detection. The method comprises the steps that semantic analysis is conducted on a to-be-detected two-dimensional table data field; mapping according to the data semantic analysis result to generate a dynamic rule corresponding to the data; determining a dynamic rule corresponding to the data semantic analysis result through a bidirectional mapping mechanism in response to that the field of the data semantic analysis result is matched with a plurality of dynamic rules at the same time; performing integrity data verification on the dynamic rules in the dynamic rule base; and in response to the fact that the dynamic rule verification result is abnormal data, performing association analysis on the abnormal data through the graph neural network model, and determining the cause of an abnormal data error according to the association analysis result. According to the method, the semantic reasoning capability of a large model, a cross-field association modeling technology of a graph neural network and a dynamic rule arbitration mechanism are fused, so that the core problems of semantic ambiguity, context logic contradiction, rule stiffness and the like in traditional rule data verification are solved.

This invention proposes a single-view X-ray 3D CT reconstruction method based on a self-optimizing dual-domain cyclic diffusion probability model, aiming to solve the problem of degraded reconstruction quality caused by severe information loss in single-view CT in traditional CT. This method constructs diffusion denoising processes in both the projection domain and the CT volume domain, and establishes a bidirectional mapping relationship between forward and back projection through a perceptual transformation module. Cyclic consistency constraints are formed during the back diffusion process, achieving cross-domain structural collaborative correction. Simultaneously, a condition generation module based on structural entropy is designed to quantify and dynamically filter uncertainties in multi-view features to enhance model stability. Furthermore, a self-optimizing mechanism is introduced, performing multiple rounds of denoising and error correction within each back diffusion time step to gradually correct prediction bias and suppress error accumulation. By collaboratively optimizing the projection domain and the CT volume domain through a dual-domain joint loss function, a unity of physical consistency and structural realism is achieved, thereby realizing high-precision 3D CT reconstruction under single-view X-ray conditions.

A pneumatic humanoid dexterous hand collaborative planning and robust control method based on digital twinning belongs to the technical field of robot dexterous hand control and pneumatic driving, and comprises the following steps: establishing a digital twinning model and realizing virtual-real bidirectional mapping; constructing a task target and a constraint set, and obtaining a gesture and a capture intention; generating an initial reference trajectory by adopting a multi-quadratic radial basis function interpolation, and performing constraint optimization by taking the initial reference trajectory as a priori and combining full multiple targeting differential dynamic programming and an augmented Lagrange method to obtain a five-finger collaborative trajectory meeting joint boundary and task constraints; establishing a finger Lagrange dynamics and tendon rope transmission model; designing a nonlinear extended state observer to estimate coupling online; and constructing self-adaptive backstepping super-torsion sliding mode control and introducing disturbance compensation to realize high-precision robust tracking. According to the method, the planning feasibility is improved through assistance of the twin environment, and the precision and robustness of the dexterous hand in the grabbing process are remarkably enhanced.

The application relates to the field of computers and digital twinning technology, and discloses an industrial asset visualization method and system based on a knowledge graph and digital twinning. The method comprises the following steps: fusing multi-source heterogeneous industrial asset data, constructing a knowledge graph based on an ontology model; establishing a high-fidelity digital twinning model, and realizing bidirectional mapping with the knowledge graph through a unique device identifier; synchronously rendering a three-dimensional geometric model and a semantic relationship network in a visualization interface, and supporting interactive linkage query and dynamic state display. The system comprises the following modules: multi-source data access, data standardization, knowledge graph construction, digital twinning modeling, bidirectional synchronization, visualization rendering, and interactive response. Through semantic and geometric deep fusion, the application realizes intelligent visualization of industrial assets in the whole-element and whole-life-cycle mode, and improves operation and maintenance decision efficiency and system scalability.