57 results about "Numbering" patented technology

The embodiment of the invention provides a code repairing method, device and equipment based on a large language model.The method comprises the following steps that a code to be repaired is analyzed through a code scanning tool on the basis of a coding specification, error information of the code to be repaired is obtained, the error information comprises an error number, a violation rule, a supplementary description, an error example, a correction example, an error type and an error code segment; generating a cue word template according to a historical repair sample and a coding specification of the large language model, and filling the cue word template with the error information to generate a filled cue word; and inputting the filled cue word into the large language model to generate a repair code segment, judging whether the repair code segment accords with a set conversion specification, and if the repair code segment accords with the conversion specification, replacing the code to be repaired with the repair code segment to generate a repaired code. According to the scheme, the code is repaired through an end-to-end automatic process, and the code repairing efficiency is improved.

The invention relates to the technical field of code pre-configuration, in particular to a demand-oriented code pre-configuration method, system and equipment and a storage medium. Matching a plurality of performance function number sequences from the code function library according to the function requirements of the target scene; performing function demand sample frequent mining on the target scene to obtain a function demand input parameter and a function demand output identifier set; inputting the function demand input parameters into a plurality of function number sequences to obtain a plurality of function demand prediction outputs; traversing the plurality of function demand prediction outputs for outlier analysis to obtain a plurality of output prediction outlier factors; traversing the plurality of performance function number sequences to carry out calculation power demand prediction to obtain a plurality of expected calculation power; and based on the plurality of expected computing power and the plurality of output prediction outlier factors, sorting the plurality of performance function number sequences to obtain a target performance function number sequence, and executing code pre-configuration. The code development efficiency is improved, and the code practicability is enhanced.

The invention discloses a policy service recommendation method and system based on a large language model, and relates to the field of policy information, and the method comprises the steps: analyzing a policy file, extracting policy terms with a numbering structure, building a unique identifier, and forming a term node set; identifying explicit or implicit reference behaviors in terms, constructing a reference path, and generating a reference directed graph; constructing a clause mapping tree based on the target clauses; mapping tree nodes are extracted to form structured prompt information, and the structured prompt information is embedded into large language model input; generating a policy report paragraph containing clause reference content; and outputting the structured policy text with clause reference chain closure and recommending the structured policy text to the user. According to the method, the clear reference context combined with the user information can be provided for the large language model, the large language model is guided to generate a text with a reasonable structure and complete terms for recommendation, and the problem of inaccurate generation when an existing model processes a complex reference structure is solved.

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 data acquisition, in particular to an AI-based electric power big data acquisition and processing method. According to the method, numbering extraction is carried out on field contents and upper and lower positions of the power maintenance log and the transaction contract data, a propagation path between fields is constructed on a semantic level, and field groups with semantic offset and structural dislocation are subjected to bidirectional alignment after difference identification; according to the method, field semantic expressions and sequence positions are synchronously corrected in the association process, the accuracy of field connection between different types of data is improved, continuous judgment is conducted in combination with time parameters, connection between maintenance and contract fields better fits the actual business process, field contents and connection relations are further archived after field combinations are aligned, and the efficiency is improved. And a structured basis is provided for data reconciliation and scheduling collection, and the semantic consistency, the structure matching degree and the application availability of an electric power big data acquisition processing result are remarkably improved through the processing flow.

The invention provides a building standardization knowledge base building method and system based on a large language model, and the method comprises the steps: carrying out the semantic partitioning of a building specification document set, and obtaining knowledge unit blocks and the logic association relation thereof; processing the knowledge unit blocks by using a large language model, generating a complete coding identifier of an independent knowledge unit and a boundary association identifier of an associated knowledge unit, and determining an association type mark; for the associated knowledge units, determining adjacent knowledge unit blocks and candidate knowledge units according to association type marks and logic association relationships, matching target knowledge units through global positioning identifiers, and allocating same integration numbers; counting the number of independent knowledge units and the number of integrated numbers, and calculating the sum to determine the total quantity of knowledge entities. According to the method, accurate association and integration of knowledge units are realized through a hierarchical numbering system and semantic association strength. According to the method, the construction efficiency of the building standardized knowledge base and the semantic consistency of the knowledge entities can be improved.

The invention discloses a biomass pyrolytic reaction network prediction method based on a graph theory and quantum chemistry, which comprises the following steps: analyzing the molecular structure of a biomass initial reactant, abstracting the molecular structure into a directed graph molecular model, marking a potential conversion path after molecular mechanics optimization, generating a unique identifier by using an atom numbering rule and a Hash algorithm, and predicting the biomass pyrolytic reaction network. Functional groups are extracted and packaged into sub-graph modules, chemical bond parameters are obtained in combination with quantum chemistry calculation and are converted into fracture probabilities, basic reaction building blocks are predefined to traverse and mark breakable bonds, fragments are recombined and then de-weighted through Hash, and then reaction activation energy weights are given to side chemical bond fracture reactions; an energy optimal path is screened by means of a priority queue search algorithm, accurate analysis of a chemical bond fracture path and intermediate product conversion in the biomass pyrolysis reaction network is finally achieved, reaction path and product distribution are efficiently predicted, and the calculation efficiency and precision of a complex system are balanced.

The invention provides a circular target design and detection method for a multi-task scene, and the method comprises the steps: image preprocessing, candidate contour extraction, affine transformation correction, circular contour recognition, arc segment recognition, central point positioning, and coding and decoding, and the target is composed of a central circle, a positioning ring, and 12 arc segments. 12-bit binary codes are constructed through black and white binary arc sections, rotation invariant recognition is achieved by adopting a minimum decimal numbering rule, in the recognition process, high-precision positioning of a center point is achieved through multi-circle contour weighted fusion, and screening of the arc sections is completed according to angle and radius variance features; according to the method, a plurality of circles of circular structures including the center circular contour, the positioning ring and the coding ring are designed in the circular coding mark target, and a multi-circle-center weighted fusion positioning strategy is introduced in the target center point calculation process, so that errors caused by local contour recognition deviation can be effectively counteracted, and the center point positioning precision of the target is improved.

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 invention discloses a method for changing graph numbers of technological equipment products in batches based on Catia secondary development. The method mainly solves the problems that the process of changing the graph numbers of the technological equipment products by means of an existing method is tedious, the efficiency is low, and errors are prone to occurring. The implementation method comprises the following steps: 1) arranging and opening process equipment products; (2) obtaining a Catia active window document object and carrying out non-null judgment on the Catia active window document object; 3) collecting all product objects on the process equipment product assembly tree; 4) inputting an original graph number, changing the name of the graph number, and performing non-null judgment; (5) the changed product file is constructed, and original product document objects are collected; the method comprises the steps of (1) collecting product items, (2) collecting the product items, (3) collecting the product items, (4) collecting the product items, (5) collecting the product items, (6) changing reference links, instance names and part numbers of all the collected product items, and (7) storing and closing movable window document objects, closing Catia software and deleting original product document objects.

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 present invention relates to the technical field of prefabricated construction, and specifically to a modeling method for a 3D complex frame structure based on three-dimensional modeling, comprising S1: numbering one by one; S2: dividing spatial regions; S3: sequentially numbering assemblies; S4: obtaining reference surfaces; S5: determining text writing areas; S6: determining assembly connections; and S7: determining text writing directions. Beneficial effects of the present invention: This application renumbers component structures and uses geometric topological structure data to determine connection surfaces, text areas, and connection areas, thereby helping personnel quickly understand the connections of structures, reducing the possibility of errors in manually distinguishing profiles, measuring, and building, clarifying the connection relationships between structures, and thereby improving the efficiency of building structures.

1. The name of this design product: automatic numbering machine. 2. Purpose of this design product: used for number printing and numbering. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design.

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.