75 results about "Logic mapping" patented technology

The invention relates to the technical field of downhole operation control, in particular to a downhole operation platform control system and a crane, and the system comprises a task identification module, a demand index module, a power sequencing module, a rhythm switching module and a command reconstruction module. According to the method, through accurate recognition of the structure state and parameter linkage, accurate judgment of the initial operation stage is achieved, false starting and false action of the platform are avoided, coupling analysis between operation data can dynamically set the scheduling priority, it is guaranteed that key tasks are executed in advance, coordination is improved, energy supply conditions are judged through power parameter fusion, and paths are distributed according to needs; the energy utilization efficiency is enhanced, stage rhythm conversion achieves stable switching based on action states and logic mapping, action disjunction is prevented, finally, control instructions are rearranged through feedback time delay and an execution sequence, an efficient and ordered response mechanism is formed, the overall operation efficiency, stability and the intelligent level are improved, and the risk of manual intervention and operation imbalance is reduced.

The invention provides a real-time data acquisition buffer throughput management method and device and electronic equipment, and relates to the field of data processing. Receiving a data object containing a sampling value, a timestamp, a measuring point number and a state mark through an input memory queue, and constructing a logic mapping identifier by a mapping agent unit to generate a logic write-in state; the logic write-in state is stored in a delay sensing buffer area, and a transaction confirmation delay sequence returned by a target database is monitored in combination with a distributed delay monitoring unit; establishing a time regression model based on the delay sequence, and generating a prediction projection window of transaction confirmation time; when the window meets a confidence threshold condition, releasing the logic write-in state to an output memory queue; and finally, writing into a database through an output thread, generating a completion mark table, and feeding back for delay buffer dynamic management. By implementing the technical scheme provided by the invention, the buffer data release rhythm and the database processing capability are conveniently coordinated, so that the overall throughput efficiency is improved.

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 relates to the technical field of wireless communication, and discloses an unloading method in an ultra-dense millimeter wave MEC network. Aiming at the problems of insufficient terminal capability, high energy consumption of an ultra-dense base station, millimeter wave coverage limitation, communication security risk and the like under the condition of sharp increase of a calculation-intensive task, the method comprises the following steps: firstly, obtaining network basic information, constructing a network architecture containing communication, calculation unloading and a security model, and establishing a multi-constraint optimization problem; based on the optimization problem, initializing a multi-strategy black-wing plinuary optimization algorithm population through logic mapping and elite selection; updating individual positions through global and local search in algorithm iteration, and screening historical optimal individuals; and finally, configuring and unloading resources according to the configuration. According to the method, the NOMA technology, a multi-step unloading framework and a hybrid communication mode are combined, the optimization efficiency is improved through a multi-strategy black-wing optimization algorithm, the local energy consumption is reduced, the communication rate is improved, the safety is guaranteed, the optimal scheme meeting time delay and safety constraints is rapidly converged, and the user experience is improved.

The invention discloses a business state data storage method and device, computer equipment and a storage medium, belongs to the technical field of big data, and is applied to an insurance intelligent loss assessment scene. Firstly, transaction records and user behavior data are analyzed to generate business state characteristic parameters; secondly, by obtaining a dynamic rule set from a preset rule base and constructing an initial rule matching model, the system can perform automatic screening, standardized analysis and logic mapping on related rules according to service state characteristics; then, a hierarchical rule index structure is constructed based on the initial matching model, and an initial matching path is determined; furthermore, by acquiring a flow mode corresponding to the data flow and dynamically adjusting the weight of the index node, the system can generate an optimization rule matching path, so that the high-frequency access node is processed preferentially; and finally, based on the optimized matching path, extracting storage configuration and generating a storage strategy allocation scheme, and combining consistent hash fragmentation and an encryption transmission mechanism.

The invention discloses an intelligent legal question-answering method based on a multi-modal large model. The method comprises the following steps: step 1, preprocessing multi-modal input; step 2, cross-modal feature extraction and alignment; step 3, performing multi-granularity attention fusion; step 4, legal logic enhanced decoding; and step 5, performing feedback type continuous learning. According to the method, through multi-modal input preprocessing and cross-modal feature extraction and alignment, legal document information is comprehensively captured, and the image-text logic mapping problem is solved; by designing an attention mechanism perceived by legal elements and constructing a legal provision reference map, the understanding of legal terms is deepened, and the answer accuracy is improved; in a decoding stage, an answer conforming to legal logic is output by embedding a legal case reasoning template library; and through a feedback type continuous learning mechanism, continuous optimization and updating of the system are realized, the system adapts to the change of the legal field, and the legal question-answering efficiency and the user experience are improved.

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 relates to the technical field of content extraction, in particular to a multi-modal hybrid document OCR (Optical Character Recognition) and structured extraction method, which comprises the following steps of: acquiring an image text region bounding box and classifying a style, extracting a font or stroke sequence to generate a character positioning structure, dividing paragraph and sentence groups to classify semantic fields, and calculating a field matching relationship to generate structural mapping. According to the method, logic mapping is constructed through character two-dimensional coordinate sorting and paragraph contours, complete reconstruction of a page structure is enhanced, semantic field categories are extracted by using syntactic density of sentence paragraph division and inter-paragraph features, the accuracy of field classification is improved, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. A field mapping relation is established through Jaccard similarity and part-of-speech consistency analysis between a head word and a standard field keyword, a field path index and a structure node link are clarified, field semantic affiliation and structure position output are unified, and the document structure reduction degree and field extraction accuracy are improved.

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 discloses a voice-driven interface interaction system and method based on task-based dialogues, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of how to improve the ability of a BERT model to understand problems in the field of emergency disposal and how to improve the accuracy of answer generation. Comprising a voice recognition module used for converting user voice into text data; the intention recognition module is used for carrying out feature extraction and intention recognition on the text data through a pre-trained intention recognition model, and the intention recognition model is a BERT-Attention-CRF combined model; the interface mapping module is used for mapping the identified user intention into a corresponding target interface jump instruction or operation instruction according to a preset task type dialogue state management and interface jump logic mapping relation; and the page skipping module is used for executing the target interface skipping instruction or operation instruction and driving the interface to complete response operation.

A one-wire serial interface that provides a control signal CNTL with 3-level logic to access at least one low-bit-count programmable resistive memory. The one-wire CNTL has three levels, such as VDD, VDD / 2, and VSS (0V), to generate clock and data signals for serial communication. In doing so, the one-wire serial interface can use at least one of various procedures including: quantization, de-glitch, logic mapping, state-memorized logic, and pass code.

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 invention discloses a fuel cell ship power system fault reconstruction method, which comprises the steps of building a fuel cell ship annular power system simulation model, designing an improved particle swarm algorithm, initializing a candidate solution by using a logic mapping chaos model, updating the candidate solution through a quantum particle swarm algorithm, and introducing a diversity migration strategy, particles in different ranges in the population are captured, migration individuals are selected based on the fitness and population position information, the individual with the minimum average Hamming distance in the population indicates the optimization direction of the iteration population, and the improved particle swarm algorithm is integrated into the fuel cell ship annular power system simulation model. The maximum recovery load, the minimum switching operation frequency and the maximum power supply load rate of each area serve as objective functions, optimization solution is carried out on the basis that weighted summation is converted into a single objective function, a power supply network under the fault condition is reconstructed through an improved particle swarm algorithm, a reconstruction scheme is obtained, and power system reconstruction after the fault is completed.

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 application discloses a kind of implementation method and chip architecture of network chip digital component periodic online self-test, the method includes: S1: on the basis of chip function architecture, increase TestPattern generator, TestPattern response processor, configuration and state memory sandbox, sandbox mapping logic, output check value logic;S2: TestPattern sequence is generated by TestPattern generator, each TestPattern in TestPattern sequence includes message, configuration and expected checksum information, wherein, for each TestPattern, corresponding configuration is updated into configuration and state memory sandbox, while informing TestPattern response processor expected checksum information, then corresponding message is sent to the first functional unit of chip;S3: the message of TestPattern is in turn through corresponding functional unit according to processing order, when encountering memory access operation, memory access operation is mapped to configuration and state memory sandbox by sandbox mapping logic, read-write operation is executed on configuration and state memory sandbox, and the output checksum of corresponding functional unit is obtained by output check value logic, and the output checksum of last functional unit is sent to TestPattern response processor;S4: TestPattern response processor judges whether there is random hardware failure based on expected checksum information and the checksum obtained, i.e. the output checksum of last functional unit;S5: all Pattern of TestPattern sequence is completed in FDTI, and TestPattern sequence is circularly executed.

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 application belongs to the technical field of computer memory management and heterogeneous computing scheduling, and discloses a KV cache anti-jitter asynchronous offloading scheduling method and system for large language model inference, which performs semantic isolation and real attention score on the key-value cache on the basis of the block type KV Cache management structure, selects recoverable redundant physical blocks based on the score results, acquires a basic pressure signal, establishes an I / O jitter quantization model based on a sliding time window, and calculates the recent average bus jitter rate of the system in real time; when the safe threshold is broken and the crisis state is entered, the candidate pool with decreasing priority is extracted to perform asynchronous offloading, and the maximum active concurrency limit is reduced; when the danger is removed, the number of concurrent is smoothly increased. Through the logical mapping update and physical block logout mechanism, the application reduces the underlying data handling in the redundant block recycling process, realizes block-level memory recycling, and guarantees the stability of the throughput; through high-precision hot and cold isolation, the offloading loss is minimized, and the OOM robustness is improved.

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.

A blockchain data visualization method and system based on a snake model. The method comprises the steps of establishing a connection with a blockchain backend, obtaining real-time data, and performing analysis and processing on the data to adapt it to the data structure of the snake model; building and continuously updating the snake model; logically mapping the snake model with the data, then building a blockchain data visualization mechanism to obtain a blockchain data visualization result; and drawing a mouse prompt box on the screen according to the blockchain data visualization result. The application has the effect that the blockchain information can be converted into elements in the snake game, food is used to simulate block generation, the snake is used to simulate the chain structure of the blockchain, and the movement of the snake simulates the extension of the blockchain. The process of packing the blockchain is intuitively displayed on the screen, helping people more clearly understand the process of adding a new block to the blockchain.

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 Modbus protocol fuzzy test case generation method based on a genetic algorithm and logic mapping. Relates to the technical field of automatic test case generation. Through a protocol structure analysis technology, variable fields are accurately divided, key fields are extracted, and a test case generation range is narrowed to a variable part. The mode can ensure that the test case is not discarded by the equipment, and the test efficiency is improved; according to the method, a Logistic mapping function is introduced to guide mutation operation, and mutation intensity is dynamically adjusted according to population fitness: diversity is enhanced at a high mutation rate at an initial stage, convergence is improved at a low mutation rate at a later stage, and population prematurity is avoided. And in combination with interlace operation of protocol format constraint, the generated test case is ensured to conform to protocol specifications and have differentiated characteristics. Through a closed loop of protocol analysis-intelligent generation-fuzzy testing, the core problems of high redundancy, low coverage rate and poor convergence in industrial control fuzzy testing are solved, and the resource consumption is reduced while the testing efficiency is improved.

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 invention discloses an analysis system and method oriented to man-machine cooperation. The system comprises a knowledge center, a meta logic learning unit, a complex task decomposition unit, a machine cognitive logic evolution unit, an intelligent algorithm library, a cognitive logic library, an expert thinking module and a historical case library. The knowledge center comprises an object knowledge model, a task knowledge model, a rule knowledge model and a cognitive knowledge model; the element logic learning unit comprises an element logic module and a learning module; the complex task decomposition unit receives a target task, calls knowledge center data to decompose the target task, and performs meta-logic mapping based on the meta-logic module; the machine cognitive logic evolution unit combines the element logics obtained through mapping, logic abstract calculation is conducted on the combined element logics, and cognitive logics of the corresponding types are obtained. According to the invention, the intelligent level and man-machine cooperation efficiency of the intelligent processing analysis equipment and system are 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.