41 results about "Numbering" patented technology

The invention discloses a power grid equipment intelligent numbering and anti-error checking method and system constructed based on a dispatching numbering agent, equipment and a medium, and belongs to the technical field of power systems and intelligent dispatching. The method comprises the steps that a knowledge graph is constructed through semantic analysis of a power dispatching standard document; extracting equipment attributes and topological contexts and organizing the equipment attributes and the topological contexts into structured prompts; the scheduling numbering agent generates a candidate number with an interpretable reasoning chain based on the knowledge graph; and verifying the number compliance through multi-dimensional introspection check and outputting a final number. According to the method, the intelligent workflow is constructed, the progress from rule matching to standard understanding is realized, and the traceability and logic consistency of the numbering process are ensured while the rule priority and the topology context are precisely processed by utilizing interpretable thinking chain reasoning and auto-reflection check closed loop.

The invention relates to the technical field of post training simulation, in particular to a virtual internet-of-things practical training post skill platform construction method, which comprises the following steps of: spreading a serial number state among nodes through a graph neural network, forming a comparable arrangement structure in a plurality of dependency paths through serial numbers, and presenting a post task start-stop relationship in a continuous serial number chain form; the execution sequence of post tasks is expressed by an extensible number sequence, and the tail number difference and the repeated numbers are memorized and expressed through a long-short-term memory network, so that subsequent post operation numbers can form continuous inference according to preorder number characteristics, and post action changes form distinguishable paragraphs in a number chain; by counting inconsistent parts of action numbers and writing the inconsistent parts into a deviation number sequence, deviation positions are presented in a centralized manner in a number form, and abnormal numbers form clear identifiers in a record set, so that workflow identification, step deviation positioning and abnormal operation calibration have recordable and traceable coherence.

This invention discloses a method, system, and medium for storing degree-of-freedom numbers in a numerical computation grid, relating to the field of numerical computation technology. By improving the storage structure of degree-of-freedom numbers, the storage and access efficiency of degree-of-freedom numbers is optimized, and different numbering methods can be selected according to actual needs, thereby improving the flexibility and overall performance of numerical computation. Two data sets are designed for each variable group to uniformly store the degree-of-freedom numbers of variables within the group, and the storage space occupied is effectively reduced through data compression.

The invention discloses a variable topology system dynamics recursion grouping method based on graph theory description, and belongs to the field of spacecraft dynamics. The implementation method comprises the following steps: automatically calculating a cyclic dimension based on a graph theory algorithm, matching non-tree edges, generating pseudo nodes, and converting a ring-containing structure into a connected ring-free tree structure; multi-module topology automatic continuation: through a node number continuation method, automatically identifying repeated nodes, deleting redundant description and splicing new module topology, and realizing topology unified description of multi-module assembly; according to the method, a dynamic model is automatically grouped, manual derivation is not needed, a constraint equation is described by a body-pseudo body recursive relationship, a unified recursive relationship of rigid body-rigid body, flexible body-flexible body and rigid body-flexible body connection is combined, modal parameters are automatically called, a grouping matrix is generated, and the dynamic equation is output, so that automatic modeling updating can be realized. According to the method, automatic dynamic grouping of the variable topology system can be realized, dynamic reconstruction is avoided, and characteristic analysis and attitude control of an on-orbit assembly system are facilitated.

The application discloses a hot data reading method and related device, and relates to the technical field of computers.In the application, the target data is determined as hot data based on a target count identifier of the target data; a target logical address of the target data is subjected to a shift operation according to a set step length, and a target number of a target red-black tree is obtained; the target red-black tree is obtained from a red-black tree set based on the target number; a target offset is obtained based on the target logical address and the set step length, a target physical address is obtained from the target red-black tree based on a first address of the target red-black tree and the target offset, and the target data is obtained according to the target physical address.In this way, cold and hot data are distinguished through variable count identifiers, the accuracy of hot data screening is improved, and the physical addresses of the hot data are stored in the red-black tree through a hash algorithm, so that the hot data searching speed is also improved in the case that the hot data amount is large.

The application discloses a kind of batch fast creation pile foundation model and batch parameter assignment method and system programmed using Python language, and its method includes: S1: extracting the parameter data required for modeling from pile foundation CAD design drawing, and collating to form standardized data table;S2: using Python language and its pandas data processing library, write the data matching and structured script of pile foundation;S3: in the Dynamo visual programming environment of Revit platform, construct Dynamo node package, and node package is used to define the creation rule and parameter assignment logic of pile foundation model;S4: run Dynamo node package in Revit project file, use intermediate file as the input data of Dynamo node package, automatically batch create pile foundation model and give each pile foundation model corresponding parameter.The application innovatively uses Python space index grid algorithm, realizes the automatic accurate matching of pile foundation center circle graphics and numbered text in CAD drawing, solves the problem of artificial checking of massive pile foundation data.

A design tool is disclosed for using determination and generation of port connection of a network-on-chip (NoC), wherein the connections are presented in regular expression to allow for increase in speed of connection and reducing the potential for user introduced errors. The design tool allows for use of regular expressions to automate the process and autogenerating of names by the design tool using numbering in regular expression as a suffix. The design tool includes a large language model or a machine learning model that is trained for synthesis and generation of the NoC and is capable of providing suggested connections based on intake of regular expressions. The model can also receive feedback from past or previous synthesis for further training of the model.

The invention provides an optimization method of a software model and related equipment. The optimization method of the software model comprises the following steps: determining correlation parameters among various states in a to-be-optimized software model; in the framework of the software model, moving two states corresponding to associated parameters greater than an associated threshold value, so that the two moved states are adjacent; according to the positions of the states after the frame is moved, numbering each state; and according to the serial numbers of the states, generating state machines corresponding to any two states with a jump relationship, and storing the state machines. According to the method and the device, the skipping efficiency between the states in the software model is improved.

The application discloses a Token marking method and a cognitive system for large language model input data, and belongs to the technical field of artificial intelligence. The application generates corresponding discrete coordinates for each Token input into the large language model, including: a time coordinate for providing a unified time reference; a context coordinate for identifying a dialogue time sequence; a logic coordinate for identifying the sequential position of the Token in a text or instruction, and the logic coordinate is independently numbered within the range defined by the time coordinate or the context coordinate; and a device coordinate for identifying an Internet of Things device, a role or a priority. The coordinates jointly constitute a unified discrete space-time cognitive framework, and provide a structured worldview for the large language model, so that the large language model can perform structured understanding based on multi-dimensional information such as time, context, logical sequence and identity. The application does not change the core architecture of the model, has strong compatibility, and can be widely applied to the fields of multi-round dialogue, intelligent customer service, industrial automation, smart home, Internet of Vehicles and the like.

The application belongs to the technical field of computer software and information security, and particularly relates to a pseudo-random dictionary generation and distribution method and system based on index mapping. The method comprises the following steps: obtaining a character dictionary and a target string length to obtain an initial character sequence; randomly rearranging the initial character sequence to generate a disordered character dictionary; calculating a total combination space of the string according to the disordered character dictionary and a character repetition constraint condition; mapping a numerical index into a target string on demand based on the total combination space of the string through a pseudo-random dictionary mapping method; grouping the numerical index to form a serial number pool, and persistently storing the index sequence in each serial number pool after randomly disturbing the index sequence; and taking out an actual index value from the current serial number pool according to a distribution cursor during the running period, converting the actual index value into a final string result through a mapping method, and outputting the final string result. The application realizes the unique generation and safe distribution of the string through the index mapping and double disordering mechanism, avoids the running period repetition verification, and prevents the number from being speculated.

The application discloses a construction method table identification method and device, computer equipment and a storage medium, and relates to the technical field of table identification. The method comprises the following steps: acquiring a construction method table, extracting text rows from the construction method table; performing semantic classification on the text rows to determine the field types of the text rows; dividing all method content fields into at least one method block based on semantics; and determining the method number fields, method name fields and applicable part fields matched with the method block based on the position information of the method block, the method number fields, the method name fields and the applicable part fields in the construction method table. The application overturns the traditional table identification process of "restoring the physical structure first, and then extracting the content according to the columns", and breaks through the dependence of traditional table identification on the physical structure through the "semantic aggregation + spatial reverse matching based on the method block" strategy. The "semantic aggregation + spatial positioning" method significantly improves the field recognition accuracy for complex construction method tables.

The invention relates to an automatic component numbering method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: determining a target component from a plurality of components, and determining an expected space coordinate of the target component in a modeling space, a target component type of the target component, and a target device type of a target device created through the target component; determining a first identification code corresponding to the target equipment type and a second identification code corresponding to the target component type by querying a preset mapping relationship; generating a transverse coordinate identification code and a longitudinal coordinate identification code according to the expected space coordinates; and combining the first identification code, the second identification code, the transverse coordinate identification code and the longitudinal coordinate identification code to generate the number of the target component. By adopting the method, standardized component management can be realized, so that the efficiency of modeling by using the component is improved.

The embodiment of the application belongs to the technical field of data processing and is applied to the field of data model reconstruction. The embodiment relates to a data model reconstruction method, device and equipment and a storage medium thereof. The method comprises the following steps: receiving a data model reconstruction instruction; obtaining a theme table that can be selected for reconstruction from a source layer of a preset data warehouse; performing numbering processing on the theme table that can be selected according to a preset numbering rule to obtain a numbering processing result; obtaining an optimal combination mode between the theme tables that can be selected during reconstruction according to a preset constraint condition and a preset configuration file; generating a combination table corresponding to a target theme domain according to the optimal combination mode and the distinguished identification information; replacing the target theme domain, and cyclically executing the above steps until combination tables corresponding to all theme domains are generated, and the cycle is stopped, and data model reconstruction is completed. The data model is automatically reconstructed in a cyclic generation mode, and the coupling degree of the reconstruction result is reduced by directly obtaining the source layer data.

The invention discloses a method and a system for merging customized contents in cross-language code conversion based on labels, and belongs to the technical field of computer software development. The method comprises the following steps: adding a label containing a unique number for a customized modification code segment in a source language code; adding a mark with the same serial number as that in the source language code at a corresponding position of the target language code; before conversion, customized content between marks in the historical version target language code is obtained and cached; code conversion is executed, and the cached customized content is automatically replaced to the corresponding mark position according to the mark number in the newly generated target code; and finally, performing consistency verification on increase and decrease of the marks in the source language code and the target language code. Through a bidirectional marking and cache replacement mechanism, the problem that manual customization is easily covered in the cross-language conversion process is effectively solved, the conversion efficiency and accuracy are improved, the manual intervention cost is reduced, and the method is suitable for a large legacy system migration scene.

The invention relates to the technical field of pipeline design, and discloses a large-scale water delivery pipeline deepening design method based on a visual programming language, and the method comprises the steps: extracting key data from a design drawing of a water delivery pipeline, and carrying out the preprocessing to obtain standard key data; determining spatial information of the plurality of control points based on the standard key data, and constructing a three-dimensional pipe section model according to the spatial information; preset section parameters are obtained, a three-dimensional entity pipeline model is generated in combination with the three-dimensional pipe section model, and key nodes are added for the three-dimensional entity pipeline model in combination with preset key node parameters; and engineering drawings and part expansion drawings of the components and the parts are generated based on the numbers. Through the cross-platform data engine, full-link automatic processing of design drawing-three-dimensional model-construction drawing-manufacturing drawing data is achieved, the parameterization degree of pipeline design is improved, the deepening design efficiency and precision are improved, and quick response can be achieved by means of the architecture of standard key data and a parameterization model in the face of design change.

The invention relates to a method of spreading and a numbered spreading system and, more specifically, to a method of spreading by means of a spreading machine comprising: a generation step to generate the spreading diagram information by means of a specialized input program for spreading; a transmission step to transmit the spreading diagram information to the spreading machine after the generation step; The laying step involves a laying machine, which performs the laying work according to the laying diagram information after transmission, in which the laying diagram information includes numbering information. The invention also refers to a numbering laying system comprising: a computer in which a specialized input program for the laying work is installed and generates the laying diagram information; and a laying machine that receives the laying diagram information from the computer and performs the laying work according to the laying diagram information, in which the laying diagram information includes numbering information.

The present invention provides a coding method for dividing the Earth's surface using a multi-level iterative grid system. This method includes: first-level segmentation of the Earth's surface according to a set reference unit span, obtaining latitude and longitude reference number intervals; constructing a first-level regional code based on the latitude and longitude reference number intervals, and then obtaining regional codes through further subdivision and iteration of these intervals; based on the first-level regional code and a set direction identifier, obtaining a single-direction boundary identifier code through further subdivision and iteration of the latitude or longitude reference number intervals, and defining a unique boundary identifier code to represent a geographical boundary. The beneficial effects are: based on the original regional positioning function, the expression method is closer to machine language, forming a unified, scalable, and easily computed coding system.

The invention discloses a power grid fault traveling wave positioning device stationing method based on an improved genetic algorithm. The method comprises the following steps: S1, establishing a mathematical model: establishing a mathematical model of a target function and a reclosing time function; encoding the information into a graph structure; s2, initial population generation: numbering lines to form an initial population; converting the node information into individual codes according to a coding rule, and calculating individual fitness through a fitness function; s3, genetic manipulation: performing selection, crossover and mutation operations on the initial population to generate new individuals; s4, algorithm termination judgment: if the optimal individual in the chromosomes has a plurality of genes, terminating the algorithm; and if the optimal individual has no gene, continuing genetic manipulation until a termination condition is met. The bidirectional fault current caused by the distributed power supply is accurately captured through three-state switch coding, the crossing / mutation probability is adjusted in real time through the Sigmoid function to achieve the dynamic genetic algorithm, and the convergence speed is increased; and the complex network is disassembled into non-overlapping sub-regions by an original topology grading strategy, so that the calculation complexity is reduced.

The application discloses a marking-based cross-language code conversion customized content merging method and system, and belongs to the technical field of computer software development. The method comprises the following steps: adding a marking containing a unique number to a customized modification code segment in source language code; adding a marking with the same number as that in the source language code to a corresponding position in target language code; obtaining customized content between markings in a historical version of the target language code and caching before conversion; performing code conversion, and automatically replacing the cached customized content to a corresponding marking position according to the marking number in newly generated target code; and finally, performing consistency checking on the marking increase and decrease in the source language code and the target language code. Through the bidirectional marking and caching replacement mechanism, the application effectively solves the problem that the artificial customized content is easily covered in the cross-language conversion process, improves the conversion efficiency and accuracy, reduces the artificial intervention cost, and is suitable for large-scale legacy system migration scenarios.

The invention discloses an intelligent processing method and device for curtain wall design, computer equipment and a medium, and the method comprises the steps: loading a preset plug-in, and calling a functional component to carry out the preliminary classification and feature recognition parameter setting of a modeling component, and obtaining a preprocessed curtain wall information model; on the basis of the preprocessed curtain wall information model, component feature information is recognized through a numbering assembly of the plug-in, a unique number is generated after clustering and associated to component attributes, and a curtain wall information model with the numbering attributes is obtained; based on the curtain wall information model with the numbering attribute, calling a drawing generation assembly of the plug-in to identify a component view, adding annotation and description content, and obtaining a processing drawing after typesetting and exporting; generating a structured material list and exporting the structured material list according to a preset format; and synchronizing the obtained number attribute information, the work drawing data and the material list information to a management platform. According to the method, the curtain wall design efficiency and precision are improved, and meanwhile, the information barriers of design, processing and construction links are broken through.

The numbering devices (1, 101, 102) with upper parts (2, 211, 212) and lower parts (3) have a universal lower part (3) that is adapted to hold both the upper parts (212) of the vertical numbering devices (102) and the upper parts (211) of the horizontal numbering devices (101).A further subject of the present invention is a numbering machine comprising the universal lower parts (3) of the numbering devices (1, 101, 102), the upper parts (211) of the horizontal numbering devices (101), a set consisting of the universal lower part (3) and at least one vertical upper part (212) and at least one horizontal upper part (211), and a numbering device (1, 101, 102) according to the invention or a set according to the invention.

The invention relates to the technical field of video generation, and particularly discloses an AIGC-based video generation method and system, and the method comprises the following steps: S1, obtaining a text input by a user, processing and recognizing a subject and stage keywords through a natural language, dividing a plurality of stages according to logic, and numbering the stages; s2, screening a matched video template from a material library based on the modification keyword, performing dynamic rendering in combination with a main body, generating a sub-video set of each stage, and retaining a stage number; s3, randomly selecting templates from the sub-video set of each stage, splicing the templates into a candidate video combination according to a numbering sequence, analyzing the visual coherence of a head frame and a tail frame, and generating a coherence score; s4, selecting the combination with the highest connection score as a final video, and ensuring that the cross-stage transition is natural and accords with the narrative logic; according to the method, the time sequence consistency and transition fluency of the long video are automatically processed, and the professional content can be generated only by providing a text by a user.

The invention provides a document analysis method in the building field, and relates to the technical field of document intelligent processing, and the method comprises the following steps: document preprocessing and media persistence: carrying out format unification and automatic numbering static processing on an original document, uploading an extracted multi-modal resource to an object storage to generate a URL (Uniform Resource Locator), and backfilling; structural analysis is carried out, a DOM tree is constructed, a chapter nesting relation is precisely restored through a stack algorithm, and non-title content merging and full-path serial number generation are achieved; performing knowledge representation and storage, performing dissimilatory abstract extraction on chapters by utilizing a large language model, calling an embedded model to generate semantic vectors, and constructing a mixed retrieval index containing text and vector fields; and retrieval and application: executing mixed retrieval based on keyword and semantic similarity, and recalling a high-quality chapter template. According to the method, standardized precipitation and intelligent reuse of hidden knowledge in the building field are realized, and the scheme compiling efficiency is remarkably improved.

The application relates to the technical field of intelligent education management, in particular to an information-based teaching test system with adaptive learning progress, which comprises the following contents: a knowledge node construction module, a learning state recognition module, a test task generation module, a path scheduling adjustment module and a feedback data backtracking module.In the application, the knowledge point fine numbering management is realized through the construction of a directed edge numbering set, the dependence direction is set in combination with a label propagation algorithm, the semantic expression capability of the node relationship is enhanced, the state weight sequence is formed based on the matching of the answer behavior matching weight and the stability coefficient, the stability of the classification recognition is improved, the cognitive ability coding and the time consumption median value linkage state weight are introduced, the questions are filtered and a priority queue is constructed, the precision of the task pushing is improved, the path chain is constructed by fusing the numbering and the sorting weight, the path branch is expanded by calculating the dependence strength, and the individual adaptability and the task rhythm coordination capability of the path scheduling are enhanced.

1. Name of the product in this design: Numbering Machine (II). 2. Purpose of this design: For number printing and numbering. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

The invention provides an event site detection method and system based on retrieval enhancement generation and multi-view verification, and relates to the technical field of event site detection methods.The event site detection method comprises the steps that to-be-detected texts are obtained and numbered, each text is input into a Qwen3 model, a position vector of each word is extracted to serve as a semantic representation vector of each text, and the semantic representation vector of each text is obtained; obtaining a graph semantic vector at the same time, and calculating a final matching score of the to-be-queried statement in each to-be-detected text; and extracting the matching scores of the to-be-queried statements in each text, sorting the matching scores, and selecting the first three texts with the highest matching scores as evidence texts. According to the method, context sensitive semantics of a text are extracted through a position vector of Qwen3, and meanwhile, graph structure representation of AMR analysis is introduced, so that the capture degree of a logic structure is improved.

The invention belongs to the field of multi-agent system topology structure identification, and relates to a second-order multi-agent system topology identification method for unmeasurable conditions of partial agents, which comprises the following steps: step 1, according to whether the state of each agent in a multi-agent system is measurable or not, renumbering each agent, converting a system model at the same time, and determining whether the state of each agent in the multi-agent system is measurable or not; decoupling of the known topology and the unknown topology is achieved through matrix partitioning; 2, estimating the state of an unmeasurable agent according to a sampling signal of the state of the measurable agent by using the number obtained in the step 1 and a model conversion result; and step 3, based on the state estimation result of the unmeasurable agent in the step 2, constructing a measurement matrix and a sampling signal so as to solve the topological structure of the unmeasurable agent. Under the condition of long-term missing of partial agent states in a complex environment, the method can still accurately identify the unknown topological structure of the system, and shows good applicability and robustness.

The application relates to a knowledge graph construction method and system for scientific literature, wherein the method adopts a double-channel fusion strategy of a numbering rule channel and a visual feature channel to analyze the chapter structure of the scientific literature, adopts an adaptive segmentation strategy based on semantic integrity to segment the text content corresponding to the chapter hierarchical tree obtained through analysis into N knowledge units, recursively decomposes academic logical sentences in each knowledge unit, generates atomic semantic units connected based on logical operators and labeled with logical semantic role labels and chapter semantic role labels, and maps the atomic semantic units into triplets of a graph structure; after all the triplets are simplified, the triplets are fused with the chapter hierarchical tree to generate a knowledge graph. Therefore, the application can automatically construct a high-quality and inferable knowledge graph from the structure of the scientific literature itself, so as to solve the technical problems of incomplete knowledge extraction, low graph quality and inaccurate retrieval and inference in the prior art.

The application provides a method for assisting ladder diagram programming, comprising the following steps: S10, setting an auxiliary numbering area which can be displayed in a ladder diagram programming interface, wherein the auxiliary numbering area comprises a function switch for starting or stopping the numbering function; S20, when a user creates a program segment, if the user starts the numbering function, automatically adding a step number to the created program segment according to the logical sequence position of the created program segment, if there is a program segment with the numbering function started after the created program segment, simultaneously modifying the step number of the program segment with the numbering function started after the created program segment, so that the step numbers of the program segments with the numbering function started are continuously increased according to the logical sequence position; S30, when the user deletes a program segment with the numbering function started or stops the numbering function of a program segment, modifying the step number of the program segment with the numbering function started after the program segment deleted or with the numbering function stopped, so that the step numbers of the program segments with the numbering function started are continuously increased according to the logical sequence position; and S40, replacing the step number with an actual logical sequence number during compiling. The method for assisting ladder diagram programming can automatically add or adjust the step number during the ladder diagram programming, and improves the work efficiency.

The invention relates to the field of automatic drawing, in particular to a transformer substation secondary drawing terminal row character intelligent recognition and automatic error correction method, which comprises the following steps of: standardizing a transformer substation secondary drawing to improve the image quality; identifying terminal symbols in the drawing, aggregating the terminal symbols to form a terminal strip area, and automatically delimiting a character identification range; detecting characters in the terminal strip area, adopting a corresponding recognition strategy according to the character size, and outputting a character sequence and confidence; the recognized characters are classified into different types through a pre-training model, the legality of a number format is analyzed, and spatial association between the characters and terminal symbols is established; sequentially carrying out character-level confusion correction, semantic-level specification verification and topology-level connection rationality verification, comprehensively calculating the confidence coefficient, and marking a low-confidence-coefficient identification result; and performing manual review on a low-confidence result, taking the corrected data as a training sample, and continuously improving the recognition precision and adaptability through an incremental learning optimization model.