123results about How to "Realize generation" patented technology

The invention provides an object positioning and posture recognition method based on 3D vision. The method comprises the steps that 3D point cloud data and image data corresponding to the 3D point cloud data are collected; preprocessing the image data to obtain a quality evaluation result, and executing image restoration processing based on the quality evaluation result to generate optimized image data; inputting the optimized image data into a pre-constructed conditional diffusion model based on hierarchical feature guidance, and generating feature representation of the optimized image data; and inputting the feature representation of the optimized image data into a differential transformer network to obtain a position and attitude prediction result of the object. According to the invention, through innovative image quality evaluation based on dual representation interaction driving, a conditional diffusion model based on hierarchical feature guidance and the design of a differential transformer network, the precision and robustness of object positioning and posture recognition in a complex environment are improved.

The invention belongs to but is not limited to the technical field of software development, and particularly relates to a multi-round reasoning and feedback optimization method and system for industrial software codes, and the method comprises the steps: S1, vector code library establishment: the establishment of a vector code library is composed of three parts of feedback establishment, vector database establishment and format summarization; s2, code reasoning optimization: the code reasoning optimization mainly comprises four aspects: control flow graph analysis, multi-query generation and reciprocal ranking fusion retrieval, reasoning generation subtask and code chain submodule generation, and code combination completion; and S3, feedback optimization: the feedback optimization is composed of score feedback optimization and log feedback optimization. According to the method, an automatic verification mechanism is introduced, logic consistency check and performance evaluation are carried out on the generated and optimized codes, and the correctness and execution efficiency of the codes are ensured. The verification mechanism can find and correct errors in real time in each stage of generation, so that the cost of manual verification is reduced, and the development efficiency is improved.

A manufacturing resource scheduling method for multi-task collaboration in an industrial interconnection environment comprises the following steps: 1) establishing a manufacturing resource scheduling model in combination with a nonlinear process planning theory; 2) solving the manufacturing resource scheduling model by adopting an improved genetic variable neighborhood algorithm, and outputting an optimal solution of a static manufacturing resource scheduling scheme; 3) executing the optimal solution of the static manufacturing resource scheduling scheme, judging whether the scheduling of all industrial manufacturing tasks is completed or not, if so, outputting the optimal manufacturing resource scheduling scheme, and if not, entering the step 4); and 4) adjusting the manufacturing resource scheduling model based on the event-driven and periodic rescheduling dynamic scheduling strategy, and returning the adjusted manufacturing resource scheduling model to the step 2). According to the method, the generation of the multi-task cooperation-oriented machine tool equipment resource dynamic scheduling scheme in the industrial interconnection environment is realized, and corresponding technical support is provided for networked integration and optimized operation of machine tool equipment resources in the industrial interconnection environment.

The invention discloses a three-dimensional reconstruction and rendering method based on a multi-source optical sensor, and the method comprises the following steps: reconstructing a multi-view dual-source image collected by an infrared visible light binocular camera to obtain a dual-source registration data set which comprises an infrared data set and a visible light data set; rendering the infrared three-dimensional Gaussian set and the visible light camera parameters through a virtual view angle renderer to obtain an infrared image of a virtual view angle; sending the infrared image of the virtual view angle, the visible light data set and the infrared data set into a three-dimensional Gaussian feature fusion device at the same time to obtain an optimized fused three-dimensional Gaussian set; and inputting the optimized fused three-dimensional Gaussian set and visible light camera parameters into a generator to generate a fused video. The problems that in an existing scene with the lack of natural illumination and large illumination contrast, detail information of the scene is difficult to fully capture through a single visible light sensor, and the quality of three-dimensional reconstruction and NVS is limited are solved.

The invention relates to a dynamic signal event rule engine processing method, system and device and a medium, and the method comprises the steps: writing preprocessed ship and aircraft data into message middleware; and an event rule is constructed, the event rule comprises a data source node, a service node and an output node, the service node is used for carrying out conditional judgment and logic processing on the dynamic and static data of the ship and the airplane, and the output node is used for outputting alarm information. And converting the event rule into an SQL statement of the Flink, and sending the SQL statement as a task to the Flink for operation. And when the Flink runs, reading real-time dynamic and static data of the ship and the airplane in the message-oriented middleware, judging based on an event rule, and writing the data meeting the requirement into an alarm theme. The problem that heterogeneous signals and data of different data sources are inconsistent when the event rule engine is applied to ship and aircraft dynamic signals in the prior art is solved.

The invention discloses a multi-modal digital human generation method and system. The system comprises a picture generation digital human module, a video generation digital human module and a video translation module, relates to the technical field of deep synthesis, and solves the technical problem of low expansibility and flexibility of a digital human generation mode in the prior art. The method comprises the following steps: processing a reference image to generate a 3D face model; generating a first digital human from the motion coefficient and the first audio signal based on a face renderer and an appearance encoder; extracting an audio with a specified duration from the original video and marking the audio as an original audio; and converting the translated text into a corresponding target audio, and synthesizing the target audio and the original video into a translated video. According to the invention, the reference image is generated through the 3DMM technology to obtain the 3D face model, so that the 3D face model can maintain the identity characteristics of a person and generate a natural dynamic expression, and the interactive experience between the generated digital person and a user is improved.

The invention discloses a code generation method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: screening out a target reusable code meta-model corresponding to code generation demand information from a pre-constructed code model library according to the code generation demand information; the code model library comprises reusable code meta-models corresponding to various businesses, and the reusable code meta-models comprise one or more of an application template class model, a function module class model and a code snippet class model; verifying the target reusable code meta-model by using a pre-constructed rule base to obtain a verified target reusable code meta-model; and combining all the target reusable code meta-models passing the verification to obtain a program code corresponding to the code generation demand information. On the basis of ensuring the accuracy of code generation, the generation of multi-field program codes can be realized, and the universality of code generation in the application field is improved.

The invention discloses an underground expressway reinforcement learning intelligent line selection method based on a GIS and an InSAR, and the method comprises the steps: providing urban environment multi-source data based on the GIS and the InSAR, building a rasterized observation space, building an initial linear continuous line space, and jointly building a line selection space of a reinforcement learning model; the strategy network of the reinforcement learning model receives parameter information of the line selection space and outputs linear parameters; the linetype builder corrects linetype parameters and updates the line selection space; the multi-index evaluation model outputs reward and punishment values according to the parameter information of the new line selection space, a value network of the reinforcement learning model receives the reward and punishment values, calculates a gradient for updating, and transmits a gradient updating strategy model; circulating until a round of line selection is completed, and calculating an accumulated reward value; and when the accumulated average reward value does not reach the optimization target, circulating until the optimization target is reached, and finding the optimal design. The method has the advantage of being beneficial to improving the efficiency and accuracy of underground road design.

The invention discloses a cross-domain medical image segmentation method based on a discrete diffusion model and a related device. The segmentation method comprises the following steps: acquiring a to-be-segmented medical image and a pseudo tag of the to-be-segmented medical image; inputting the medical image to be segmented into a pre-trained domain generalization diffusion segmentation model to obtain a medical image segmentation result; the pre-trained domain generalization diffusion segmentation model comprises a forward diffusion processing module, a robust feature extraction sub-network and a segmentation label generation network which are connected in sequence; the forward diffusion processing module is used for adding noise to a to-be-segmented medical image to obtain a noise label, the robust feature extraction sub-network is used for extracting robust image features from the to-be-segmented medical image, and the segmentation label generation network is used for obtaining a segmentation label according to the robust image features, a pseudo label and the noise label. The method focuses on exploring and improving the cross-domain generalization ability of a domain generalization diffusion segmentation model, and adopts a robust feature extraction sub-network and a segmentation label generation network to realize accurate generation of a cross-domain segmentation label.

The invention provides an end-station cooperative wireless heterogeneous network global route generation method and system. Firstly, in a wireless heterogeneous network composed of 5G and an ad-hoc network, a terminal user carries out fusion network access, and network resource scheduling of the combined ad-hoc network and a 5G base station can be carried out, so that user requirements are met; then, the fusion of the 5G network and the Ad Hoc network is realized through a terminal side gateway discovery mechanism; and finally, on the basis of a hybrid routing protocol framework, table-driven routing and on-demand routing are combined by combining the characteristics of a 5G ad hoc network and an Ad hoc network, and a hybrid routing mechanism in which local switching at a terminal side and global diffusion at a base station side are combined is adopted. According to the mechanism, local topology information mastered by a terminal node is utilized, in combination with sensed factors such as loads of adjacent nodes, intra-domain link information is diffused in time, intra-domain routing is formed, and therefore unnecessary overhead caused by repeated path finding is avoided.

The invention discloses a PDF (Portable Document Format) image screening method driven by intelligent analysis, which belongs to the technical field of document processing and comprises the following steps of: intelligently analyzing a plurality of PDF files to obtain a plurality of pieces of image information for format conversion; traversing the plurality of PDF files based on the plurality of bitmap formats for image capture; performing image content identification on the multiple pieces of image information according to the multiple pieces of image proportion data; identifying the plurality of pieces of image information based on a plurality of text data sets, and traversing a plurality of PDF files according to a plurality of image indexes; simulation preselection is carried out based on the target PDF file, full-text search is carried out based on multiple preselected images, preselected feedback information is sent to the remote control terminal, and an image screening instruction is generated to carry out intelligent screening response on the PDF images. According to the method and the device, the problems of low PDF file image processing efficiency and inaccurate information extraction in the prior art are solved, so that a user faces tedious manual screening and processing flows in document management and data analysis.

The embodiment of the invention provides a presentation file generation method and device, equipment, a storage medium and a program. The method comprises the steps of obtaining user demand information and a large language model; the user demand information is used for indicating a user intention for a demonstration file to be generated, and the user intention comprises a text demonstration intention and a demonstration typesetting intention; obtaining file content data according to the large language model and the user demand information for the text demonstration intention; generating a typesetting code according to the file content data and the user demand information for demonstrating the typesetting intention; and rendering according to the typesetting code to obtain the target demonstration file. The large language model is introduced to analyze the user demand, and the typesetting code is generated for the file content data based on the demonstration typesetting intention, so that personalized typesetting layout with uniform typesetting and format is realized under the condition of automatically generating the demonstration file, and the problem that the generated target demonstration file is inconsistent in format is avoided.

The invention relates to an application program generation method and device, computer equipment and a storage medium. The method comprises the steps of obtaining task demand information corresponding to application development, and analyzing the task demand information to obtain function demand information and interface definition information; function splitting is conducted on the function demand information, multiple pieces of sub-function information and function association logic information are formed, and function association logic is used for representing the connection relation between function modules in the application program; screening pre-constructed function modules according to the multiple pieces of sub-function information to obtain multiple target function modules; configuring data interfaces among the target function modules according to the target function modules and the interface definition information; and based on the data interface and the function association logic information, integrating the plurality of target function modules to generate an application program. According to the scheme, the reusability of the code file is improved, and the generation efficiency of the application program is effectively improved.

The invention belongs to the technical field of liquid engines, and discloses a liquid engine inner wall liquid film forming and visual diagnosis system which comprises a multifunctional spray pipe support and a calibration device, a liquid film forming device is arranged at the top of the multifunctional spray pipe support, and a visual spray pipe is arranged at the bottom of the liquid film forming device. According to the technical scheme, the liquid film forming device, the visual spray pipe and the multifunctional spray pipe support are arranged, when the liquid film forming device, the visual spray pipe and the multifunctional spray pipe support are used in a whole and matched mode, liquid film generation can be achieved, optical diagnosis can be conducted on the generated liquid film, and therefore a set of complete experimental research method is formed; an effective analysis means can be provided for a breaking mechanism of the liquid film in a high-temperature and high-speed airflow environment, the research blank is filled up, so that the understanding of breaking of the liquid film and generation of liquid drops is improved, and the initial flowing parameters of the liquid film can be accurately controlled and instability and experimental errors can be reduced through a method for forming the liquid film by impacting the wall surface through jet flow.

The invention discloses a data importing method and device, computer equipment and a computer readable storage medium. The method comprises the steps of generating a first SQL statement according to parameters of an import task of a preset database and a template of the import task, and filling a preset array variable with the first SQL statement; establishing connection with the database to obtain a cursor object for operating the database; generating a target date partition name set and a target date partition value set of the imported task in the template; based on the cursor object, querying a database according to the target date partition name set and the target date partition value set to obtain a target column name set of a target import table of the import task; and according to the array variable, the target date partition name set, the target date partition value set and the target column name set, the import task is generated, and the import task is input into the database, so that a large batch of data is rapidly imported into the database, and the efficiency of importing the data into the database is improved.

The invention discloses a method for realizing self-defined signature verification of a swan application program. The method comprises two stages of signature self-defining and signature verification. According to the method, a customized signature verification mechanism is realized for the HAP application package of the swan operating system, the generation, insertion and verification of the customized signature value and the additional value are realized, the official swan HAP package signature verification mechanism is not damaged, and the application installation package subjected to customized signature can still be installed and used on the swan operating system through the method. After signature operation of official developers is completed in the development stage of the swan application, a self-defined signature can be created through the method, and in the application installation stage, self-defined signature verification and additional value verification can be completed based on the method. The method can be used for source check and integrity check of the HAP application, meets customized safety requirements urgently needed by related industries, and fills the industry blank.

The invention relates to a cross-model collaborative scheduling method for code generation based on large language models (LLMs), and belongs to the field of artificial intelligence and software engineering, and the method comprises the following steps: S1, obtaining a demand set R, and dividing the demand set R into N subsets; s2, sequentially extracting requirements from the subsets and constructing codes to generate prompts; s3, loading LLMs, transmitting code generation prompts into the quantized LLMs, and generating codes in parallel; s4, testing the correctness of the generated code, and if an error is detected, constructing a diagnosis correction prompt; s5, using LLMs to diagnose and correct errors in the code according to the diagnosis correction prompt to obtain a diagnosed and corrected code; s6, if the codes do not pass the test, performing cross-model generation; s7, circularly executing the steps S2-S6 until all the requirements are processed, and finally obtaining a code set which successfully passes through the test case and a code set which does not pass through the test case; according to the method, the code generation performance of different LLMs is fully mined, and the automatic code generation capability of cross-model collaboration is improved.

The invention discloses a power system safety and stability control method, system and device and a medium, and the method comprises the steps: firstly, analyzing the output characteristics of new energy, and constructing a power system safety and stability control index; secondly, a safety and stability control model is established by taking a safety and stability control index and a minimum load shedding amount as targets and taking an operation risk as a constraint; secondly, improving links of contraction surrounding preys and spiral bubble net attack in the whale algorithm; and finally, solving the safety stability control model by using the improved whale algorithm, and realizing the generation of the low-frequency load shedding strategy after the fault. According to the method, instability and potential safety hazards of the power system caused by new energy output fluctuation are inhibited, and generation of the low-frequency load shedding strategy when the power system encounters a fault or new energy fluctuation is ensured, so that the safety and stability of the power system are ensured.

The embodiment of the utility model provides a touch control device, a touch control chip, a display screen module and electronic equipment, and the touch control device comprises the touch control chip which is used for sending a first driving signal to a touch control unit; the touch control unit is used for receiving the first driving signal, the touch control unit, a finger and an electrode on the touch control screen form a closed loop when the finger performs touch control, an induction signal is generated in the closed loop, and the touch control chip performs touch control position identification according to the induction signal. The touch device provided by the embodiment of the utility model can be suitable for touch position identification in an underwater scene, and the applicability is relatively high.

This invention relates to the field of industrial wastewater treatment technology, and discloses an electrocatalytic oxidation device and its operating method for treating saline industrial organic wastewater. Wastewater enters the reaction chamber through the bottom inlet, is forced through the anode channels, and undergoes an electrochemical oxidation reaction on the anode surface to convert chloride ions into hypochlorous acid. A vacuum ultraviolet light source performs in-situ photolysis of water molecules and hypochlorous acid, exciting various active species, including strongly reducing hydrated electrons, strongly oxidizing hydroxyl radicals, and chloride radicals. This device, through the construction of a reduction-oxidation system, can efficiently degrade various pollutants with both electron-rich and electron-deficient characteristics. This invention utilizes the synergistic coupling of electrochemical generation and photochemical conversion to convert high-concentration chloride ions into active precursors, effectively overcoming the bottlenecks of low degradation efficiency and poor selectivity in traditional technologies for high-salt and complex water quality, and significantly improving the system's mineralization efficiency and energy utilization rate.

The invention discloses a moxibustion physical therapy smoke delivery main machine which comprises a main machine box. The air inlet assembly is mounted at the upper part of one side of the main case; the moxa cone combustion bin is arranged in the main machine box from one side part of the main machine box; the upper smoke outlet assembly is installed at the top in the mainframe box, the bottom of the upper smoke outlet assembly and the top of the moxa cone combustion bin are installed in a sealed mode, and the upper smoke outlet assembly is used for being connected with a pipeline to send smoke to a terminal physiotherapy structure; the lower air supply assembly is installed on the lower portion in the main machine box, the top of the lower air supply assembly and the bottom of the moxa cone combustion bin are installed in a sealed mode, and the lower air supply assembly is used for supplying air and oxygen into the moxa cone combustion bin. The mode of bottom air supply, top smoke outlet and middle combustion is adopted, an independent combustion structure is adopted for middle combustion, the interior of the main machine box is prevented from being polluted, a filtering structure is arranged in a combustion bin to prevent moxa ash from entering a pipeline, a temperature sensor is arranged on a smoke outlet pipe, and therefore the smoke outlet temperature can be accurately controlled.

The invention relates to the technical field of natural language processing, in particular to a statement generation method and device based on a large language model, equipment and a medium. In the embodiment of the invention, the large language model has the capability of classifying the text, and the classification capability can determine that the target text is classified so as to determine which target data tables need to be used for generating the SQL statement, and then the large language model is enabled to generate the SQL statement according to the target data tables; the SQL statement generation based on multiple data tables is realized, and the SQL statement generation accuracy is ensured.

The invention belongs to the field of virus purification, and particularly relates to a foot-and-mouth disease virus plaque purification method and a foot-and-mouth disease virus thereof. The high-quality foot-and-mouth disease virus is obtained by screening and purifying the foot-and-mouth disease virus through a specific 1 * cell culture medium, a 2 * cell culture medium, a cell maintenance medium and a culture solution which are prepared by the method and through a virus plaque purification technology. The seed virus screening and purifying method is low in cost, the problems that an existing seed virus screening method is high in cost, complex in operation and the like are solved, and high-quality foot and mouth disease viruses can be obtained through virus plaque purification. According to the method, the virus titer of the conventional foot-and-mouth disease virus seed virus is increased by more than 3 times, and the content of antigen 146S is increased by 40%.

The invention provides an industrial project planning and design platform. The industrial project planning and design platform comprises a file generation module, a drawing generation module, a control planning module and an interactive planning module. A plurality of modules are integrated in the industrial project planning and design platform, and the file generation module and the drawing generation module can achieve configuration of hardware in a project and achieve automatic generation of hardware management files in the project. Furthermore, the control planning module and the interaction planning module can realize automatic generation of hardware content and linkage control logic in the project and generation of man-machine interaction content in the project according to the configured hardware information. In this way, automatic and standardized design of the industrial project can be achieved, and then the design efficiency of the industrial project is remarkably improved.

The present application relates to the field of communication technology, and specifically discloses a Type2 codebook generation method, device, electronic device and storage medium, wherein the generation method includes: obtaining a transmission block level codebook and a coding block group level codebook of a unicast service unicast, and obtaining a transmission block level codebook of a multicast or broadcast service MBS; generating the Type2 codebook according to the transmission block level codebook and the coding block group level codebook of the unicast, and the transmission block level codebook of the MBS.

This disclosure provides a generator defect detection method, apparatus, device, and storage medium based on structural coordinate links. The method includes: constructing a generator stator cylindrical coordinate system and obtaining structural coordinates based on a three-dimensional vector including slot number, axial depth, and tangential offset within the slot; detecting image data using an artificial intelligence model to obtain the defect center pixel coordinates, and performing coordinate transformation and real-time mapping based on the camera coordinate system and the world coordinate system to obtain the structural coordinate primary key; performing closed-loop control of a robot based on coarse positioning and visual servo fine positioning to execute in-situ defect reproduction operations; indexing based on the structural coordinate primary key and automatically associating historical detection data and multimodal sensor data to obtain a full lifecycle defect evolution map; and analyzing growth rate data obtained from newly added detection data to obtain a defect evolution report, thereby achieving traceable, reproducible, and actionable defect map generation and health closed-loop management.

The present invention discloses a method for generating meshes of a viscous internal flow field with periodic boundary conditions, comprising: reading a geometric model of a viscous internal flow field with periodic boundary conditions; assigning boundary conditions to the geometric model, finding primary and secondary boundary lines according to the boundary conditions, and establishing a mapping relationship between the primary and secondary boundary lines and the boundary conditions; establishing a mapping relationship between source surface boundary lines and target surface boundary lines according to the mapping relationship between the primary and secondary boundary lines and the boundary conditions, and calculating an affine transformation matrix from the source surface to the target surface; generating a surface mesh of each surface according to the mapping relationship between the source surface boundary lines and the target surface boundary lines and the affine transformation matrix; generating a boundary layer mesh according to the surface mesh and the affine transformation matrix; reconstructing the surface mesh of each surface according to the affine transformation matrix, the boundary layer mesh and the primary and secondary boundary lines; and generating a volume mesh according to the surface mesh and the boundary layer mesh.

The invention discloses a network flow generating and repairing method based on protocol constraint. The method comprises the following steps: analyzing an original traffic capture file, extracting basic features through stream-level recombination and session segmentation, and mapping a continuous time sequence and a discrete protocol field to a uniform feature space; and on the basis, constructing a diffusion type network flow generation model to capture a statistical attribute and time sequence dependency relationship of the network flow. In the generating or repairing process, a protocol state machine is constructed, protocol constraint is introduced in the reverse denoising stage, the sampling process is constrained through a legality guiding mechanism, and protocol logic violation in the generating process is avoided. And finally, through feature inverse mapping and virtual protocol stack state maintenance, reconstructing to obtain network flow data which meets a communication protocol specification and can be correctly analyzed by a real protocol stack. According to the method, the generation and repair of the network traffic can be realized under a unified framework, and the correctness of a result in protocol semantics is ensured.

The invention provides a model training method and device, a text information generation method and device, equipment and a medium. Comprising the steps of obtaining an initial cue information sample which is an information sample meeting output requirements of a to-be-trained cue output model; based on the initial prompt word information sample, obtaining an imitated text sample, the imitated text sample comprising at least two different text samples; determining a target imitation text sample meeting a preset semantic similarity requirement with the initial prompt information sample from the imitation text samples; training pre-training layer parameters of a to-be-trained cue output model based on the initial cue information sample to obtain an initial cue output model; and training output layer parameters of the initial cue word output model based on the initial cue word information sample and the target imitation text sample to obtain a target cue word output model. Through the method, the effect of generating the original text content by the language processing model is improved.

The invention provides a service self-evolution method and device, equipment and a medium, and relates to the technical field of communication. The method comprises the following steps: a first network element sends a micro-service request to a second network element; the first network element receives a micro-service response sent by the second network element, wherein the micro-service response comprises a micro-service; and the first network element generates a target network structure and a target communication flow of the edge core network according to the micro service. According to the scheme of the invention, the generation and flexible expansion of the network are realized.