118results about How to "Realize automatic generation" patented technology

The invention discloses a high-flux molecular modeling method of an asphalt binder. The method comprises the following steps: creating an asphalt binder component molecular library; according to given modeling requirements, component molecules of the asphalt binder component molecule library are randomly extracted, and an asphalt binder model is generated through modeling; on the basis of topological information of an asphalt binder model, according to a molecular simulation CVFF empirical force field, determining bonding categories of component atoms of the asphalt binder so as to determine atomic simulation force field parameters; and finally, outputting a data file of the asphalt binder model according to a set format requirement. According to the method, the initial model construction of the asphalt binder model and the automatic generation of the atomic scale simulation file are realized, the workload of manual modeling is reduced, the modeling requirement can be automatically processed, the asphalt binder molecular model can be automatically generated, and the model creation speed is improved.

The invention discloses a method for dynamically constructing a UDF based on a large model. The method comprises the following steps: S1, constructing a multi-dimensional requirement cue word of a user-defined function according to characteristics and use requirements of a target platform; s2, the multi-dimensional requirement cue words are input into a pre-trained large language model for code generation, the large language model is subjected to multi-round iteration based on the multi-dimensional requirement cue words, and an optimal code sequence for achieving the user-defined function is output; s3, code style standardization is carried out on the optimal code sequence, and a compiler or an interpreter and a static analysis tool are respectively called to carry out grammar check and static analysis on the optimal code sequence, and constructing an optimization cue word according to an error log output by the compiler or the interpreter and a static analysis result output by the static analysis tool, and inputting the optimization cue word into the large language model to carry out iterative optimization on the optimal code sequence.

The invention discloses a pipeline backing welding process planning method based on cooperation of a laser vision scanner and a process knowledge base, and the core content comprises the steps: firstly, building an excellent backing welding forming size model and the process knowledge base based on an excellent welding seam evaluation standard; then, a laser vision scanner is used for scanning the groove, and the characteristics of each section of groove are obtained; and finally, the welding process parameters of each section are obtained based on the process parameter calculation model. Wherein the excellent welding seam size model can calculate the welding wire melting area, the groove high side base metal melting area and the more melting welding wire area of the groove low side compared with the high side required by the groove according to the gap and the unfitness of butt joint of each section obtained through scanning. The process knowledge base can automatically match the parameters in the welding process parameter calculation model according to the material, the pipe diameter and the wall thickness of the to-be-welded pipeline. Features extracted by a visual scanner are converted into variables in a calculation model through an excellent weld joint forming size model, parameters in the model are matched in cooperation with a process knowledge base, and accurate backing welding process parameter planning under the actual working condition is achieved.

The invention provides a data annotation method which can be applied to the field of big data or artificial intelligence. The method comprises the steps of obtaining business handling records in a historical time period, performing problem analysis on the business handling records, and obtaining a problem set; based on at least one question in the question set, a question statement is generated, the question statement is input into a pre-trained language large model, a prompt word set output by the language large model is obtained, and the prompt word set comprises the question and at least one corresponding emotion prompt word; inputting the cue word set as input into the large language model to obtain at least one text statement output by the large language model; and based on each text statement and each corresponding emotion prompt word, generating a labeled data set for training an emotion recognition model. The invention further provides a data annotation device and equipment, a storage medium and a program product.

The present disclosure provides an intelligent scheduling method, a model training method and a device and system thereof. The method comprises: in the case that a target management node can utilize its own processing resources to schedule a kth rendering task, obtaining kth target state information corresponding to each slave node in N slave nodes contained in the next level of the target management node; the target management node is a jth management node in an ith level in the cluster; obtaining k-1th scheduling feedback information; inputting the kth target state information corresponding to each slave node contained in the next level of the target management node, the k-1th scheduling feedback information, and the task characteristics of the kth rendering task into a target neural network model to obtain a target scheduling strategy of the kth rendering task; and determining a target slave node from the N slave nodes according to the target scheduling strategy of the kth rendering task to allocate the kth rendering task to the target slave node.

This invention belongs to the field of power dispatch automation technology, and provides a method and system for automatically constructing a power grid operation simulation scheme library. The method includes acquiring and parsing power grid operation simulation themes and constraints of power grid operation simulation schemes; extracting power grid feature models by combining power grid physical models and data; and generating initial operation modes for power grid operation simulation schemes based on cross-section matching algorithms. For different power grid operation simulation themes related to fault handling, different preset faults are generated for each power grid operation simulation scheme. Based on a dispatch knowledge base and a fault handling scheme library, a set of fault handling schemes is obtained through knowledge reasoning. The set of fault handling schemes is evaluated using a power grid operation simulation scheme compilation result evaluation system to obtain the optimal fault handling scheme. Finally, the preliminary power grid operation simulation schemes are classified according to the power grid operation simulation themes to generate a power grid operation simulation scheme library. This invention provides dispatchers with a large number of categorized and practical power grid operation simulation schemes.

The invention discloses a software test report generation method and device, a storage medium and computer equipment, and the method comprises the steps: responding to a test report generation instruction of target software for a target scene, and obtaining test index data of different data sources through a unified multi-data source adaptation layer interface, the different data sources comprise a Prometheus time sequence data source, a Grafana visual data source and a YAML test case data source; obtaining a test report generation template corresponding to the target scene, and determining an index association rule and a rendering type in the test report generation template; performing association analysis on the test index data of the different data sources on the basis of an index association rule, determining test conclusion data of the target software on the basis of an association analysis result, and rendering the test index data in the Grafana visual data source on the basis of a rendering type to obtain a rendered picture; and embedding the test index data, the test conclusion data and the rendering picture into a test report generation template to obtain a test report corresponding to the target software.

The invention provides a digital geological logging system, which belongs to the technical field of geological logging, and comprises an early-stage geological management system, a data server system and a geological construction real-time logging system, and the early-stage geological management system and the geological construction real-time logging system are both connected with the data server system. The early-stage geological management system is used for inputting early-stage geological engineering information and carrying out early-stage management and planning on geological engineering, the geological construction real-time logging system is used for collecting, recognizing and logging geological construction site data, and the geological construction real-time logging system has offline recognition and logging caching functions. The data server system is used for storing and verifying geological information. Early-stage data of geological engineering are managed in real time and bound with later-stage construction engineering, data support is provided for later-stage construction, real-time datamation of the geological engineering is achieved, management is convenient, working efficiency is improved, and data errors are avoided.

This invention relates to an intelligent method and system for collecting reconnaissance data for power distribution network projects. The method includes: collecting real-time audio data, historical audio data, and geographic coordinate information from the reconnaissance site; constructing a dedicated corpus for power distribution network reconnaissance based on the historical audio data; fine-tuning a general reconnaissance speech recognition model using the dedicated corpus; inputting real-time audio data into the fine-tuned general reconnaissance speech recognition model to generate original reconnaissance text data; constructing a knowledge base for the power distribution network reconnaissance domain, performing domain matching on the original reconnaissance text data within the knowledge base to generate structured reconnaissance data that conforms to power distribution network projects; and fusing geographic coordinate information and the structured reconnaissance data to obtain a reconnaissance dataset with geographic coordinate location information.

This application relates to the field of power distribution system technology, and in particular to a testing method and system for substation measurement and control devices based on neural networks. The method includes: constructing a full-link signal topology map of the substation; extracting the correlation features of each signal node from various types of configuration files; inputting the full-link signal topology map and correlation features into a pre-trained graph neural network, which matches signal node pairs to obtain matching point pairs, and generating a test sequence consisting of simulated excitation signals and expected response information based on the matching point pairs; triggering the corresponding simulated excitation signal according to the test sequence, acquiring feedback signals in real time, comparing the feedback signals with the expected response information, and determining the test results. This application effectively reduces the manual burden of testing substation measurement and control devices and improves test accuracy.

The application discloses a kind of based on visual perception's intelligent modeling generation system of moving head lamp, belong to stage lighting control technical field.The application includes: visual perception unit, obtains moving head light column three-dimensional information and establishes lamp space position database;Modeling case library is used to store the preset commonly used moving head light column modeling template;Space constraint analysis module is used to analyze the modeling space constraint that can be realized based on the actual space layout of on-site moving head lamp;AI modeling generation module is automatically generated based on lamp space distribution moving head light column basic modeling that adapts current lamp position layout;Modeling output interface is exported to console use.The application realizes the automatic generation of moving head lamp basic modeling based on on-site lamp position space perception for the first time, provides a series of position adaptation modeling scheme for lighting designer, and greatly improves programming efficiency.

The application relates to the technical field of digital human body models, in particular to a digital human body muscle model posture generation method and device. The method comprises the following steps: obtaining a tomographic image of an initial posture of a human body by using high-precision CT, and inversely modeling a geometric model of human body bones and muscles according to the tomographic image; calculating a first motion influence weight of each muscle node attached to a bone node according to each muscle node and the bone node; calculating a second motion influence weight of each muscle node according to the influence of adjacent muscle nodes on each muscle node; calculating a comprehensive weight of each muscle node according to the first motion influence weight and the second motion influence weight; and calculating a Laplace coordinate of a next moment of a current muscle node according to the comprehensive weight of the current muscle node, the position of the current muscle node and adjacent muscle nodes. The application generates a high-fidelity muscle geometric model by using a Laplace mesh deformation constraint technology.

The invention relates to the technical field of aircraft skin mirror image milling, in particular to a method for generating a mirror image milling track of a depression feature with a regular and protruding local contour of a skin. Selecting a closed programming contour boundary line, a skin outer surface and a cutter feeding control point, generating a cutter limit trajectory by the programming contour boundary line along the extension curved surface of the sinking bottom to the effective radius value of the cutter in the sinking area, performing finishing treatment on the limit trajectory, and generating a secondary limit trajectory along the extension curved surface of the sinking bottom to the distance value of the cutter in the sinking area; the secondary limit trajectory is ranked into an ordered line segment. And screening sub-limit trajectory segment boundaries under the condition that the sub-limit trajectory segment line segments are coplanar with the first line segment, identifying and classifying the sub-limit trajectory segment line segments into straight-edge end straight-edge protrusions, arc-edge end straight-edge protrusions, straight-edge end triangular protrusions or arc-edge end triangular protrusions, and correspondingly generating milling trajectory lines. And the milling trajectory of the remaining rectangular area is solved, the limit trajectory and the secondary limit trajectory are connected along the epitaxial curved surface, and finally a complete mirror milling trajectory is formed.

The application discloses a method, device and equipment for generating code and a storage medium, and belongs to the field of communication technology. The method comprises the following steps: reading message information corresponding to a plurality of messages in a DBC file, any message in the plurality of messages being used for transmitting at least one signal, and the message information of any message comprising a signal start bit and a signal bit width of the at least one signal; and acquiring a first code block of any message based on the signal start bit and the signal bit width of the at least one signal corresponding to the any message, the first code block comprising code lines corresponding to the at least one signal, and the code line of any signal being used for generating or identifying any signal in any message. The method automatically reads the DBC file to realize automatic generation of the code block, replaces manual operation of a user, improves the generation efficiency of the code block, and can avoid manual errors, thereby improving the accuracy of the generated code block.

The invention relates to the technical field of edge computing and automatic optimization algorithms, and discloses a multi-edge computing task unloading and scheduling hierarchical automatic optimization method based on large language model driving, which comprises the following steps: S1, constructing a computing system, acquiring task data and edge server data to form a data set, dividing the data set into a training set, an optimization set and a verification set; and S2, constructing a joint task unloading and scheduling optimization model taking the total completion time delay of the system as an optimization target, taking minimization of the total completion time delay of the system as an optimization target function, and taking the total completion time delay of the system obtained by the joint task unloading and scheduling optimization model as a fitness value. According to the method, efficient and automatic optimization of task unloading and scheduling problems in the multi-edge computing environment is achieved, the intelligent level and generalization ability of a computing system are improved through an algorithm evolution mechanism driven by a large language model, and the method has important theoretical significance and wide engineering application prospects.

The invention relates to a voice-based self-service wine selling device and method for self-service wine taking. The voice-based self-service wine selling device comprises a wine storage cavity, a data acquisition module, a wine amount calculation module, a two-dimensional code generation module, a locking module and a display module, a wine cover is arranged at the top of the wine storage cavity, a wine outlet module is arranged at the position, close to the bottom, of the wine storage cavity, a wine outlet is formed in the wine outlet module, a wine taking module is arranged below the wine outlet, the data acquisition module and the wine amount calculation module are arranged in the wine cover, and the data acquisition module is connected with the wine amount calculation module. The wine amount calculation module is connected with the two-dimensional code generation module, the two-dimensional code generation module is connected with the locking module, the locking module is connected with the wine taking module, and the two-dimensional code generation module is connected with the display module. By means of the device, automatic wine taking is achieved, cost calculation is automatically conducted, and a user conducts the whole process from wine taking to payment in a self-service mode.

The present invention discloses a natural gas comprehensive operation and control platform based on the Internet of Things, which relates to the field of natural gas management technology, and includes: a cloud server; a data acquisition unit, which is used to collect the operating parameters of each node of the natural gas pipeline network and transmit them to the cloud server; a simulation modeling unit, which constructs a virtual model of the natural gas pipeline network according to the operating parameters and performs simulation analysis; a solution generation unit, which uses an optimization algorithm to calculate a control instruction set based on the simulation results and combines them into a natural gas operation and control solution; a pipeline network control unit, which is used to receive the natural gas operation and control solution, adjust the valve opening, and detect the physical quantity deviation value during the adjustment process, and feed the physical quantity deviation value back to the cloud server to update the natural gas operation and control solution. The present invention improves the acquisition accuracy and comprehensiveness of pipeline network operation data, realizes real-time monitoring of gas components, and improves the operation efficiency, safety and reliability of the natural gas pipeline network.

The invention provides a multi-agent reward function automatic generation and optimization method and system, and relates to the technical field of artificial intelligence and reinforcement learning. According to the method, state description information of an environment is extracted through an environment context construction module, and then a plurality of reward function candidates are evaluated at the same time through a parallelized reward function evaluation module by utilizing a reward function code generated by a large language model; afterwards, statistical information in the training process is converted into structured natural language feedback through a reflection report generation module, so that the large language model can understand the training dynamics and improve the reward function in a targeted manner, and then context-based directional rewriting of the reward function is realized; and finally, through an iterative optimization process, generating a reward function which not only conforms to a task target but also has good training characteristics. According to the method, the code generation capability of the large language model is combined with the reinforcement learning training process, so that automatic generation and iterative optimization of the reward function are realized.

A method for generating a honeypot. According to various embodiments, there is provided a method for generating a honeypot for a target system, comprising: determining a service and a protocol supported by a target system to be emulated via a network interface by sending a request for a plurality of services to the target system; determining a honeypot type and a configuration for the selected honeypot type, the honeypot type being capable of providing the determined service and supporting the determined protocol when the honeypot type is configured with the selected configuration; and generating a honeypot of the determined honeypot type having the determined configuration.

The application discloses a kind of meniscus data processing method and related equipment, method includes: based on sampling point set, by principal component analysis to obtain unit eigenvector and then construct to obtain meniscus main plane;According to basic data, by proportion demarcation identification to obtain meniscus front and back root;Sampling point set is projected to meniscus main plane, and then combined with meniscus front and back root to carry out polar angle partition, by polar radius weighted average screening representative point of each partition, construct to obtain continuous path curve;Meniscus front and back root are added to continuous path curve, obtain target path.The application constructs meniscus main plane by principal component analysis, and then combined with polar angle partition and polar radius weighted average, can realize the automatic generation of steel wire implantation path, and the path generated has good structural adaptability and repeatability, provides reliable support for the mechanical optimization and implantation safety of meniscus implant body, and can be widely applied in data processing technical field.

The invention discloses an airport pavement surface layer plate design method and system and a readable storage medium, and relates to the field of airport pavements, in the method, firstly, a block design parameter dictionary and design data are read to obtain a block design base, then point-line construction and seam line preprocessing are carried out by adopting a half-side data structure, and an airport pavement surface layer plate is obtained; and carrying out region segmentation and surface layer information assignment through an anticlockwise minimum region half grid method, then carrying out reinforcement design on underground pipelines, a filling and excavation boundary line passing region and a special-shaped region, and finally generating a three-dimensional model and assigning attribute information. According to the method, the associated configuration of the design parameters, the intelligent judgment of the reinforcement scheme and the seamless integration of the design data and the three-dimensional model are realized, and the design efficiency and accuracy are effectively improved.

This invention relates to the field of natural language processing and information extraction technology, and discloses a method for automatic generation and iterative optimization of annotation guidelines for event extraction. The method includes: generating initial annotation guidelines based on annotation samples using a large language model and compressing them into lightweight guidelines for predefined event types; employing a two-stage extraction strategy, first identifying event types using the lightweight guidelines, and then recalling complete guidelines based on the types for end-to-end extraction to obtain prediction results; identifying and clustering prediction errors based on a predefined set of event-layer and argument-layer error types to form error clusters; and generating update operations for the annotation guidelines using a large model for each error cluster, and completing iterative optimization after verification of effectiveness. This invention achieves automated generation and continuous evolution of annotation guidelines, and significantly improves the maintainability, generalization ability, and event extraction performance of the guidelines through structured representation and error clustering mechanisms.

Embodiments of the present application provide a kind of bus scheduling method, device, electronic equipment and computer readable storage medium, belong to intelligent transportation technical field.The method comprises: according to the first train chain set, static scheduling information and static basic information of bus operation, first driving plan information is calculated;According to the first driving plan information, execute driving plan;In the process of executing driving plan according to the first driving plan information, in the case of abnormal situation, obtain dynamic basic information of bus operation, historical passenger flow information and dynamic scheduling information;According to the second train chain set, dynamic scheduling information and historical passenger flow information, dynamic basic information of bus operation, second driving plan information is calculated according to static basic information of bus operation;And according to the second driving plan information, adjust and execute driving plan.The embodiments of the present application make the process of bus scheduling more intelligent, improve scheduling efficiency.

The present invention relates to the field of artificial intelligence technology, and provides a method for automatically generating test cases based on enhanced RAG, including extracting text from system documents, and dividing the extracted text into text segments to form text vectors, which are stored in a vector database; a local first language model generates corresponding triples, which are stored in a knowledge graph database; the system documents are directly handed over to the local first language model, and the article outline is extracted and stored in a relational database; according to the test case requirements input by the user, text segments, triples and article outlines related to the test case generation are obtained and sent to the local second language model; the second language model automatically generates specific test cases and detailed test case documents based on this information. The present invention can realize the automatic generation of test case books to reduce the work content and improve work efficiency.

This invention discloses a method and system for generating multimedia children's picture books based on generative artificial intelligence. The method includes: acquiring a scanned image of a target physical picture book; identifying and extracting text information from the image; analyzing and extracting the subject, actions, and corresponding descriptive information; detecting the main object in the image and separating it from the background; generating a Stable-Diffusion model's introductory text based on the detected main object, the extracted subject, actions, and corresponding descriptive information, and combining it with a preset template; generating a dynamic image using a pre-trained Stable-Diffusion model; and completing the background image of the separated main object; inputting the dynamic image into a SwinBERT video summarization module to obtain a corresponding video description summary; and synthesizing corresponding narration, dialogue, or background sound based on the content of the dynamic image or pre-set content, thereby transforming a static picture book into a generative multimedia children's picture book. This method helps provide children with a personalized and interactive experience.

The application discloses a warehouse road network structure construction method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. A specific embodiment of the method comprises: in response to a warehouse road network structure construction instruction, obtaining position information of each shelf in the warehouse; based on the position information, aggregating each shelf to obtain corresponding shelf sets, calculating shelf areas of the shelf sets and an outer rectangle of the shelves in the warehouse; based on the shelf areas and the outer rectangle, determining a candidate area of a passageway of the warehouse, rasterizing the candidate area of the passageway, determining the position of each grid in the candidate area of the passageway, calculating a corresponding center line, constructing a passageway undirected graph structure based on the center line, and the passageway undirected graph structure comprising nodes and connecting edges; and based on the nodes and the connecting edges, generating a road network structure of the warehouse. The embodiment can solve the problems of high mapping cost, long cycle, inability to quickly adapt to warehouse layout changes and low efficiency of the mapping mode.

The application discloses a front-end page generation method and device, a program product and electronic equipment, and relates to the technical field of front ends, and the method comprises the following steps: analyzing annotation data of back-end code to obtain an analysis result, wherein the analysis result at least comprises a page identifier and component data of L page components, L is a positive integer, the page identifier is used for representing a function implemented by the back-end code, and the type of each page component is one of the following: a form type and a table type; determining a page template corresponding to the back-end code based on the page identifier, wherein the page template comprises at least one of the following: a form page sub-template and a table page sub-template; generating target front-end code based on the component data of the L page components and the page template; and generating a target front-end page corresponding to the back-end code based on the target front-end code. The application solves the technical problems of low generation efficiency and inconsistent page styles of front-end pages in the prior art.

The application discloses a network security threat assessment method, device and equipment and a readable storage medium, wherein the method comprises the following steps: determining a network security knowledge graph based on a network security knowledge system, acquiring network asset information corresponding to an existing network asset management system, determining a network asset topology graph based on attribute information of network assets in the network asset information, the first reachability relationship and the first connection relationship; generating a network security threat knowledge graph based on the alarm information, the network security knowledge graph and the network asset topology graph, and determining a threat assessment report corresponding to the network security threat knowledge graph. The application realizes automatic generation of the threat assessment report, greatly reduces the manual operation cost, improves the efficiency of outputting the threat assessment report, and improves the accuracy and comprehensiveness of the network security assessment through the network security knowledge graph and the network asset topology graph.

The invention belongs to the technical field of computers and artificial intelligence, particularly relates to an auxiliary teaching material generation method and system based on an artificial intelligence technology, and aims to solve the problems that existing teaching materials are low in production efficiency, insufficient in individuation degree and difficult to generate visual materials. The method comprises the steps of obtaining and analyzing a teaching material generation request to determine a teaching range requirement and a core knowledge point; according to the requirements and the core knowledge points, aggregating related contents from a plurality of resource libraries, and extracting and generating a hierarchical knowledge point structure by using an artificial intelligence large model; and generating at least one teaching material including an interactive animation, a knowledge card or a mind map based on the knowledge point structure. According to the invention, the teaching materials can be automatically, intelligently and individually generated, the lesson preparation efficiency is remarkably improved, the expression form of the teaching resources is enriched, and the teaching effect is improved.