50 results about "Logic mapping" patented technology

The invention relates to the technical field of electrical digital data processing, and discloses an AI semantic enhanced unstructured manufacturing document data structuring method, which comprises the following steps: acquiring a character recognition stream of a target document to extract a semantic anchor point and topological coordinates thereof, and vectorizing a to-be-structured field to generate a to-be-processed vector; querying an engineering logic mapping table to determine association intensity, and calculating a logic gravitational field intensity value of the to-be-processed vector relative to the semantic anchor point according to the association intensity; associating the to-be-processed vector to a target semantic anchor point according to the field intensity value, starting a logic polarization program when the to-be-processed vector is identified to be interfered by the homogeneous semantic anchor point in the association stage, extracting bias characteristics to generate a polarization vector, and modulating the native gravitational field intensity; according to the method, the attribution ambiguity of similar semantic entities in a dense distribution scene is solved by introducing the logic gravitation constraint, the structured conflict caused by spatial distribution and engineering logic decoupling is eliminated, and the topology consistency in the data conversion process is ensured.

The invention discloses an intelligent question correction method based on a multi-modal large model, and relates to the technical field of intelligent education, and the method mainly comprises the steps: firstly, carrying out the multi-modal recognition and region segmentation of an image containing a question and a handwritten answer, and extracting structured question data and answer data; inputting the structured data into a multi-modal large model trained by knowledge in the education field, and identifying knowledge points and scoring requirements of question examination and logic correctness and normalization of answers; based on an identification result, a personalized correction rule for mapping the knowledge points and the answer logic into specific score points is dynamically generated; automatically correcting the answers according to the rule and generating score details; and finally, outputting personalized feedback information containing error positioning and associated correction suggestions based on a correction result. According to the method, a complete technical chain from multi-modal identification understanding to dynamic rule generation and execution is constructed, so that efficient and accurate execution of the intelligent correction system is realized.

The invention discloses a database execution code automatic generation method and system based on a large language model, and the method specifically comprises the steps: carrying out the semantic analysis and logic mapping of an SQL query statement through a large language model, and generating a corresponding executable query code through a code template, and self-adaptive optimization of codes is realized by combining semantic consistency verification and a performance feedback mechanism. According to the method, special execution logic can be dynamically generated according to different query semantics and data features, intelligent generation and performance evolution of database execution codes are achieved, a system can automatically generate specific high-performance execution logic according to specific queries, and a closed loop is formed; the query efficiency and the system expandability are remarkably improved, the manual development and maintenance cost is reduced, and the method has good universality and reliability.

The invention relates to a verification system and a verification method for a security protection application. The system comprises a network attack simulation engine and verification equipment, the network attack simulation engine is connected with the verification equipment through a network; the network attack simulation engine comprises a behavior mapping module, a logic mapping module, a three-link linkage module and a zero-day effect substitute module; the behavior mapping module is respectively connected with the logic mapping module and the three-link linkage module; and the logic mapping module is connected with the three-link linkage module. According to the verification system, through the zero-day effect substitute module, the verification system of the security protection application can simulate and test the influence of unknown vulnerability attacks under the condition that no real vulnerability codes exist, and the coverage of network simulation attacks of the verification system of the security protection application is improved; the verification system of the security protection application ensures that the defensive performance of the security protection application can be comprehensively evaluated when the network simulation attack is coped with through the linkage of the network attack simulation engine and the verification equipment.

The application relates to the technical field of electric digital data processing, and discloses an AI semantic enhancement unstructured manufacturing document data structuring method, which comprises the following steps: obtaining character recognition flow of a target document to extract semantic anchor points and topological coordinates thereof, and vectorizing a field to be structured to generate a to-be-processed vector; querying an engineering logic mapping table to determine an association strength, and calculating a logic gravitational field strength value of the to-be-processed vector relative to the semantic anchor points according to the association strength; and associating the to-be-processed vector to a target semantic anchor point according to the field strength value, and when it is identified that the to-be-processed vector is interfered by a homogeneous semantic anchor point in the association stage, starting a logic polarization program, extracting a bias feature to generate a polarization vector, and modulating the original gravitational field strength. The application solves the attribution ambiguity of similar semantic entities in a dense distribution scene by introducing a logic gravitational constraint, eliminates the structural conflict caused by the decoupling of spatial distribution and engineering logic, and ensures the topological consistency of the data conversion process.

The invention belongs to the technical field of cloud platforms, and particularly relates to a virtual-real interconnection method for multiple access modes, which comprises the following steps of: 1, establishing mapping between a virtual network identifier and a virtual local area network (VLAN); 2, constructing a unified physical transmission channel and scheduling traffic; 3, establishing and dynamically maintaining a logic mapping function; 4, generating and optimizing an abstract configuration strategy; 5, compilation and optimization of multi-manufacturer equipment instructions are carried out; and step 6, performing atomization issuing and consistency verification of the configuration. According to the method, performance loss and protocol compatibility limitation caused by traditional three-layer NAT forwarding are effectively avoided, and high-performance communication of a native two-layer network is provided; and special VXLAN gateway equipment is replaced by general VLAN switch networking, so that the hardware cost and the technical threshold are greatly reduced.

The invention discloses a finite-state agent behavior decision-making method, device and equipment, a medium and a product. The method comprises the following steps: acquiring system related information; according to the system related information, a system action graph Action-Graph is constructed, and the Action-Graph comprises nodes and edges; according to the Action-Graph, a logic mapping set is constructed, and the logic mapping set comprises an initial function set, an operation set and a dependency relationship between functions and operations; according to the logic mapping set, the Action-Graph and the task description information, an initial decision is determined, the initial decision comprises at least one of a task identifier, an operation sequence, a data dependence constraint and a cost evaluation index, through the technical scheme of the invention, an end-to-end automatic process suitable for the intelligent agent can be constructed, and the efficiency of the end-to-end automatic process is improved. And full-process automatic processing from task description of a natural language to task execution is realized.

The invention relates to a power multi-mode knowledge base question and answer pair construction method and device. The method comprises the following steps: screening at least two target electric power knowledge graph types, and constructing a plurality of business knowledge units based on target scene information of electric power production environment inspection business of each target electric power knowledge graph type; performing knowledge association analysis on the plurality of business knowledge units to obtain a logic mapping relationship among the plurality of business knowledge units; based on the logic mapping relationship, performing structured recombination on the plurality of business knowledge units to obtain a structured recombination result, and matching a corresponding question and answer sentence pattern template for the structured recombination result; and based on the question and answer sentence pattern templates adapted to the business knowledge units, converting the structured recombination result into candidate power knowledge question and answer pairs, verifying the candidate power knowledge question and answer pairs by using a large language model, and outputting a target power knowledge question and answer pair. By adopting the method, efficient answers can be generated for cross-type power inspection data.

The invention relates to the technical field of sewage management, and discloses a sewage toxicity joint effect prediction and discharge traceability decision management system, which comprises a data acquisition module, a logic mapping module, a residual decision module, an active verification module and a decision instruction generation module, collecting a terminal comprehensive biological inhibition rate sequence and an upstream working condition feature vector, and establishing a logic time delay transfer model from each emission source to the terminal; calculating a dynamic residual error of the actually measured inhibition ratio relative to the sum of the independent contribution expectation values of the emission sources, and distributing a collaborative toxicity contribution weight according to a working condition activeness weight; and when the weight is in an uncertain interval, a pseudo-random flow perturbation instruction is issued, and the collaborative toxicity contribution weight is corrected by using the correlation between the terminal response waveform and the instruction. The synergistic effect is quantified into a marginal contribution weight with exclusive causal evidence efficacy, and an anti-distinguishing blind area in administrative responsibility determination is eliminated.

The invention discloses a logical address history mapping dictionary, a construction method thereof and a data rollback method, and relates to the technical field of storage. The logic address historical mapping dictionary construction method comprises the following steps: analyzing a logic mapping table to obtain at least one group of mapping information data; according to mapping information data, stored by different timestamp nodes, of the logic address mapping tables of previous versions, physical addresses pointed by the same logic address at the different timestamp nodes construct a logic address historical mapping dictionary according to timestamp information. The method can perform data rollback based on the logic address history mapping dictionary, and is stable and reliable.

The invention discloses a control method and device of a networking system, electronic equipment, a vehicle and a storage medium. The method comprises the following steps: acquiring a target control request, wherein the target control request is a request for controlling and executing a target application service; a service logic mapping table is inquired based on the target control request, a target logic address corresponding to the target application service is determined, and the service logic mapping table is used for recording the mapping relation between all the application services and the corresponding logic addresses; a logic physical mapping table is inquired based on the target logic address, a target physical address corresponding to the target application service is determined, and the logic physical mapping table is used for recording the mapping relation between the logic address and the physical address corresponding to the local application service; and sending the target control request to a physical entity corresponding to the target physical address, so that the physical entity executes an operation corresponding to the target application service. According to the method, rapid and flexible mapping from the application service to the physical address can be realized, and the control efficiency of a networking system can be guaranteed.

The invention relates to the field of data processing, in particular to a multi-mechanism micro-service request processing method and device, equipment and a storage medium, and is used for improving the micro-service processing efficiency. The micro service of the mechanism is started, a business logic mapping table of the micro service is obtained, and the business logic mapping table comprises the corresponding relation between the business operation code and the business processing function; after a request sent by a user is received, request header information and service parameters carried in the request are analyzed, and the first service identifier is used for representing a service requested by the user; if the request header information is successfully verified based on the service logic mapping table, determining a target service processing function corresponding to a target service operation code contained in the service parameters according to the service logic mapping table, and inputting the to-be-processed data into the target service processing function to obtain a processing result; and generating response information according to the processing result and the request identifier, and sending the response information to the mechanism.

The invention provides a high-speed digital system circuit diagram design method and system based on rule driving, relates to the technical field of circuit design automation, and solves the problems of low efficiency, high reliability risk and the like caused by poor module reusability and difficulty in inheriting rules in traditional circuit design. The method comprises the following steps: pre-packaging a circuit module, defining an input / output interface, and presetting a logic mapping relation and a basic electrical connection constraint rule to obtain a unit circuit; when the unit circuit is placed in a design environment, dynamic activation of a rule is realized, verification of a preset rule is triggered, connection feasibility judgment is provided, and connection violating the preset rule is intercepted; and based on the verification result, providing a visual connection auxiliary mechanism for a designer, and providing hierarchical prompt information and modification suggestions according to the severity level of the rule conflict. Through the three-stage abstract design architecture, the connection efficiency is improved, the design period is shortened, and the connection error rate approaches zero.

The invention discloses a joint test resource modeling and packaging system based on a RESTful cloud interface, and the system is characterized in that a test resource object model modeling module is used for receiving test resources, converting the test resources into a standardized object model through a cloud native RESTful micro-service, and storing the standardized object model into a resource warehouse; the object model logic mapping modeling module is used for selecting a standardized object model corresponding to a test resource, configuring corresponding input and output mapping and storing a configured mapping rule into a resource warehouse; the resource packaging module is used for packaging the test resources subjected to modeling and mapping into a standardized interface; the test scheme construction module is used for defining a cooperative relationship between upstream and downstream resources in the joint test, completing automatic data flow between the downstream resources and the upstream resources through a standardized interface, and determining a calling time sequence of each test resource, an interface path for ordering / issuing an object model and a data mapping rule by relying on a RESTful cloud interface; and finally, a set of combined test execution scheme capable of being automatically executed is integrated.

The invention discloses a code generation method and device, equipment and a storage medium. The method comprises the steps that at least one target natural language instruction matched with original natural language description input by a user is acquired from an industrial semantic library; generating a PLC code file according to the PLC code sample, the logic label and the standard document associated with the at least one target natural language instruction; and converting the PLC code file into a PLC image. PLC code samples, logic tags and standard documents associated with various different natural language instructions are stored through an industrial semantic library, so that the reliability of basic data is ensured, human errors are reduced, and therefore, basic support is provided for original natural language description input by a user by using the industrial semantic library; according to the method, a natural language is accurately converted into a compliance code based on semantic-logic mapping, the generated code is converted into a PLC image, millisecond-level downloading is achieved, automatic starting and running are achieved, a complete technical link is formed, manual programming and debugging time is saved, and code development efficiency and code quality are remarkably improved.

The application relates to the technical field of specific computing model data processing, and discloses an adaptive data modeling system based on an interactive graphical interface, which comprises an interactive instruction processing unit, a stability analysis unit, an operator evolution execution unit and a closed-loop feedback constraint unit; the stability analysis unit extracts stability characteristic quantities through a Hessian matrix of a bottom layer computing graph; the operator evolution execution unit simulates operator states according to a topological prediction disturbance sequence and performs adaptive reconstruction; and the closed-loop feedback constraint unit adjusts mapping weights in a logic mapping space according to the stability characteristic quantities, and maintains logic convergence by reducing an execution step length. The application maps the geometric characteristics of a bottom layer computing manifold into a negative feedback mechanism of an interactive space in real time, solves the problem of structural rigidity caused by mechanism transition of a dynamic system, and improves the precision of data modeling on the basis of guaranteeing the stability of model topological evolution.

This invention relates to a method, apparatus, and system for security evaluation of large language models based on dynamic custom logic encoding. It constructs a temporary logic mapping protocol for encoding; after acquiring malicious semantic text to be tested, it encodes the malicious semantic text into a sequence of logical instructions according to the temporary logic mapping protocol, constructs test prompts, inputs them into the large language model under test, and determines whether the large language model under test has been jailbroken based on the output. The apparatus includes an acquisition module, a protocol construction module, an encoding module, a construction module, an output acquisition module, and a judgment module; the system is implemented based on the method. This invention can bypass security protection mechanisms based on blacklists and fixed pattern recognition, achieving a high avoidance rate, breaking through static defense mechanisms, touching security vulnerabilities at the logical reasoning level, possessing high adaptability and scalability, ensuring the long-term effectiveness of the evaluation, accurately locating weak points in the model's security strategy, and performing targeted and refined reinforcement.

The application discloses a Modbus protocol fuzzy test case generation method based on a genetic algorithm and a logistic mapping, and relates to the technical field of automatic test case generation.The application accurately divides variable fields and extracts key fields through a protocol structure analysis technique, and narrows the test case generation range to the variable part.The method can ensure that the test case is not discarded by the device and improves the test efficiency.The application introduces a Logistic mapping function to guide the mutation operation, dynamically adjusts the mutation strength according to the population fitness, enhances the diversity at a high mutation rate in the early stage, improves the convergence at a low mutation rate in the later stage, and avoids population prematurity.Combined with the cross operation of the protocol format constraint, the generated test case not only meets the protocol specification, but also has differentiated characteristics.The application solves the core problems of high redundancy, low coverage and poor convergence in industrial control fuzzy testing through the "protocol analysis-intelligent generation-fuzzy testing" closed loop, improves the test efficiency, and reduces resource consumption.

The invention discloses a method and system for monitoring and positioning faults by combing network access paths, and the method comprises the steps: importing a network equipment configuration file into a system, building a mapping relation between the network equipment configuration file and network equipment built in the system, and obtaining first mapping; analyzing the content of the network equipment configuration file according to the first mapping, and establishing a key logic mapping relation of the network equipment to obtain second mapping; constructing a path topology based on a directed graph algorithm according to the second mapping of all the network devices; a target domain name input by a user is obtained, and the system automatically retrieves according to path topology and displays a complete access path of the target domain name in a network in a visual topological graph form; and monitoring index data of each node in the network, and positioning a fault node. According to the method, automatic path sorting is realized, the troubleshooting time is greatly shortened, and the fault positioning speed and accuracy are improved.

The invention relates to the technical field of code-free data processing, and discloses a code-free platform development method based on closed-loop management, and the method comprises the steps: abstracting a business concept into a semantic placeholder, and building a semantic placeholder library; constructing an organizational structure tree, and constructing a ternary logic mapping table comprising context dimensions, semantic dimensions and interpreter dimensions based on the semantic placeholder library and the organizational structure tree; using the ternary logic mapping table to develop a runtime delay binding execution engine and construct a semantic definition and mapping version management mechanism; establishing a hierarchical semantic inheritance and difference mechanism; adding a semantic convergence controller and developing a semantic distance calculation engine; integrating a version management mechanism and a semantic distance measurement result, calculating a semantic health degree score, and establishing a semantic optimization closed-loop mechanism; according to the method, service intention and technology implementation are decoupled through semantic abstraction, semantic dynamic adaptation and convergence of multiple departments and multi-level organizations are achieved, and the cross-department cooperation efficiency of the closed-loop management process is improved.

The invention discloses a dynamic group automatic maintenance method and system for enterprise instant messaging software, a dynamic group is a logic group, is generated by combining a plurality of subgroups and supports nesting, and the subgroups comprise a constructed basic group and an existing dynamic group. The method comprises the following steps: establishing a logic mapping relationship between a dynamic group and a subgroup, and initializing a member list; starting monitoring on the basic group to capture a corresponding change event; the change event comprises a personnel adding and / or personnel removing event; when it is monitored that the basic group is changed, responding to the change event, and automatically synchronizing all the associated dynamic groups; the method has the beneficial effects that automatic updating of cross-department and cross-dimension composite groups can be supported.

A method and system for interdisciplinary skill decoupling and intelligent scheduling of meta-capability units, relating to the field of electronic digital data processing, is disclosed. This method obtains entity and action information by semantically parsing user input text, deconstructs requirements into a set of meta-functional units using a meta-functional unit rule base, and constructs a dependency graph. A vector embedding model is used to encode the features of the meta-functional units, and matching nodes are found in a heterogeneous domain logical graph based on cosine similarity and graph topology paths to generate cross-domain logical mappings. Execution resources and virtual agents are allocated to the meta-functional units according to the dependency graph and mapping relationships, and finally, a multimodal generation model is invoked to generate interactive content. This application aims to improve the accuracy of resource recommendation and matching when facing innovative cross-domain tasks.

The invention relates to the technical field of emergency logistics engineering and intelligent traffic control, and relates to a dynamic disturbance-oriented emergency material multimodal transport intelligent scheduling method, which comprises the following steps of: A, constructing a multimodal transport dynamic space-time network based on physical and logic mapping, and opening up a data space in a memory by a processor based on a time extension graph technology; b, building an emergency material multimodal transport dynamic scheduling optimization model under a rolling time domain framework, building a continuous dynamic scheduling model based on the rolling time domain framework, and decomposing long-period global optimization into a series of short-period sub-problems which are mutually associated; c, designing a double-layer decision-making framework according to a self-adaptive large-field search algorithm fused with reinforcement learning under a rolling time domain framework: processing dynamic disturbance by adopting the rolling time domain framework on an outer layer, and designing a self-adaptive large-field search algorithm fused with a Q learning mechanism on an inner layer; the method has the advantage of self-adaptive evolution capability with higher and higher disaster evolution decision speed and higher and higher quality.

This invention relates to the field of industrial control automation technology, and provides a method and system for redundancy of I / O modules in a multi-rack PLC system. The method includes constructing a redundant I / O module architecture within the multi-rack PLC system; the primary I / O module sends synchronization information to the backup I / O module via a shared state synchronization bus according to the corresponding communication sequence; the backup I / O module receives the synchronization information and updates its shadow output buffer; the backup I / O module monitors the synchronization information reception status within the corresponding communication sequence, switches to the primary state based on local judgment, and calls the last valid data in the shadow output buffer to drive the corresponding input / output channel; the main controller completes the logical mapping update of the corresponding redundant I / O module group based on the primary / backup relationship change information sent by the primary I / O module to the main controller. By using a shared state synchronization bus for multiple redundant modules, the method reduces the need for independent synchronization links, simplifies the internal structure and wiring of the rack, improves information resource utilization, and reduces system costs.

The application discloses a singing aria generation method based on neural-symbolic dual driving and programmed logic mapping, selects classic singing sections of various schools of opera to establish a reference audio library, extracts acoustic characteristics of each singing section, statistically analyzes style constraint features in the acoustic characteristics, generates a school and an acoustic fingerprint confidence interval mapping table, analyzes a natural language description requirement input by a user, generates a structured prompt word containing a style constraint feature confidence interval, retrieves a best matching singing section from the reference audio library, and finally generates a required singing aria according to the structured prompt word and acoustic characteristics of the best matching singing section.

A fault-tolerant mapping architecture for column-oriented neural-network compute arrays is disclosed. A pool of physical compute columns performs local accumulation of partial sums while a logical mapping layer dynamically associates logical compute columns with physical columns. When a physical column is detected as faulty, its logical workload is remapped to a spare physical column without halting operation or altering row-wise activation broadcast timing. The mapping layer may be implemented in hardware or firmware and operates transparently to higher-level scheduling. Logical-to-physical decoupling preserves the CASCADE architectural principle of column-confined accumulation and no inter-column partial-sum transfer while enabling runtime reliability and adaptive workload balancing across the array.

The invention relates to the technical field of electrical digital data processing, and discloses a digital evaluation system for operating parameters of a remote power supply in a marine environment, which comprises an operating data access module, a data logic mapping module, a feature logic recovery module and an operating state evaluation module, the data logic mapping module maps the original electric signal sequence into a data flow pattern with plastic fluid characteristics, and establishes a logic mapping model containing virtual roll gap parameters according to logic mapping pressure caused by external environment parameters; according to the method, deep decoupling of environmental strain interference and intrinsic electrical characteristics of a power supply is realized, data space warping is effectively eliminated, the reliability of the power supply is improved, the reliability of the power supply is improved, and the reliability of the power supply is improved. And it is ensured that the operation characteristics maintain topological consistency in a multi-parameter coupling fluctuation environment.

The application discloses a kind of based on multi-source information fusion and meta-learning blade fault diagnosis method and related device, it is related to fan fault diagnosis field, the method includes obtaining the multimodal state monitoring data in the historical operation process of fan blade and carries out data processing, obtains implicit feature set;Based on fan blade fault mode table, implicit feature set is carried out logic mapping and label processing, and obtains the data set after label processing;Data set is divided into several small sample meta-training tasks, and the inner and outer ring iterative training of fan blade fault diagnosis double-flow model based on small sample meta-learning architecture is carried out, and the trained fan blade fault diagnosis double-flow model is obtained;Based on the trained fan blade fault diagnosis double-flow model, the multimodal state monitoring data of fan blade in real time is obtained Fault diagnosis, obtain the health status and fault category of fan blade.The application can carry out high-precision real-time diagnosis to fan blade.

The invention relates to the technical field of computer software, and discloses a software development intelligent auxiliary system which comprises a terminal subsystem, a server side, a storage system and an operation environment. The terminal subsystem analyzes the code change and extracts a structural feature vector and a key variable symbol; the server receives the feature vectors and executes hierarchical retrieval, and performs performance prediction by using homomorphic historical function data or dynamic acquisition data; when the data is missing, the server triggers the acquisition probe in the operating environment to perform on-demand sampling through the signaling controller; the calculation core combines the algorithm complexity and the operation cardinal number, calculates the predicted time consumption and maps the predicted time consumption to the full-link topology to evaluate the global risk. According to the method, code logic is mapped into vector space features, code performance deduction in a deployment-free environment is realized, and in combination with a dynamic closed-loop acquisition mechanism, resource loss of a production environment is reduced while data integrity is guaranteed.

The invention relates to the technical field of communication, and particularly discloses an intelligent auditing system and method for an SD-WAN network based on a dynamic threshold, and the system comprises an auditing data collection module which is used for collecting network interaction data in the SD-WAN network in real time, and generating multi-dimensional auditing data based on the network interaction data; the dynamic threshold value management module is used for setting an initial threshold value of the multi-dimensional auditing index based on the network deployment scale, the equipment performance parameters and the business scene requirements, and adjusting the initial threshold value of the multi-dimensional auditing index in real time based on the statistical characteristics of the latest statistical historical auditing data to obtain a dynamic threshold value of the multi-dimensional auditing index; the abnormal event identification module is used for mining a logic mapping relationship among different types of audit data, and identifying an abnormal audit event and triggering a hierarchical alarm in combination with a dynamic threshold value and a current index value of a multi-dimensional audit index; the secure and stable operation of the SD-WAN network is effectively ensured, and the network management efficiency and security are improved.