630results about How to "Generate accurately" patented technology

The invention relates to the technical field of data processing, and discloses a power distribution method based on AI artificial intelligence and an intelligent power distribution cabinet. The method comprises the following steps: carrying out real-time data acquisition on key nodes of the power distribution system through an intelligent sensor network to obtain original operation data of the power distribution system, and carrying out cleaning and standardization processing on the original operation data to obtain a standardized data set; performing analysis modeling on the standardized data set through multi-level hybrid model training to obtain an AI analysis model of the power distribution system; processing and analyzing the power distribution data collected in real time to obtain a load prediction result and a dynamic balance strategy; performing abnormal mode identification and multi-path reasoning on the system operation parameters to obtain equipment health state evaluation and maintenance suggestions; and based on the equipment health state assessment and maintenance suggestions, performing multi-objective optimization calculation on renewable energy source supply and power consumption demands to obtain an intelligent energy scheduling scheme. According to the invention, the efficiency and accuracy of the power distribution method based on AI artificial intelligence are improved.

The invention discloses a query system, method and equipment based on conversion from a natural language to an SQL (Structured Query Language) and a medium. The query system comprises a data access layer used for receiving a natural language query request of a user; the preprocessing module is used for preprocessing the natural language input by the user to obtain the preprocessed natural language; the deep learning model is used for converting the preprocessed natural language into an SQL (Structured Query Language) statement; the optimization module is used for optimizing the SQL statement to obtain an optimized SQL statement; the database interface module is used for executing the optimized SQL statements and returning query results corresponding to the optimized SQL statements; and the application layer is used for displaying the query result. It can be seen that a large amount of manual data annotation is not needed, the system development and maintenance cost is reduced, the accurate SQL statement is rapidly generated through multi-step processing and the optimization algorithm, and the efficiency of converting natural language query into the SQL statement can be improved.

The invention discloses a live broadcast method and device for free matching combined e-commerce operation, and the method comprises the steps: S1, collecting and analyzing user data, and building a user portrait; s2, based on the user portrait and the real-time behavior data, generating and dynamically updating a personalized commodity recommendation list; s3, in the live broadcast process, the anchor displays a commodity combination effect and provides a real-time interaction function; s4, virtual reality and augmented reality technologies are adopted to realize virtual commodity display and trial; s5, analyzing the real-time behavior data of the user by using an improved collaborative filtering algorithm, and recommending related commodities; s6, analyzing the emotional tendency of the user in interaction by adopting a multi-modal fusion emotion analysis algorithm, and providing personalized interaction suggestions for the anchor; and S7, providing an integrated online shopping function, and supporting the user to seamlessly complete the purchase operation. Through the technical steps, the personalized shopping experience of the user is improved, the live broadcast interactivity is enhanced, and the method has the beneficial effects of high recommendation accuracy, strong participation sense of the user and the like.

The invention discloses a context learning-based database query generation method and system and a storage medium, and the method comprises the steps: extracting keywords and phrases from a natural language query, retrieving values similar to the keywords in a database, and returning values most related to the keywords and corresponding columns thereof, retrieving description information related to the keywords and the phrases in a database directory; performing mode selection aiming at the most relevant value of each keyword and the corresponding column, namely screening out the column irrelevant to the natural language query, further selecting a table necessary for generating the SQL query, and finally reducing the mode to a minimum column set necessary for generating the SQL query; and correcting logic and grammar errors of the method model through the database mode, the natural language query, the generated candidate SQL query and the execution result thereof. According to the method, the efficient SQL query statement is generated by intelligently understanding the data context and the query requirement.

The invention provides a potential diffusion model-based building planning image generation method and system. The method comprises the steps of data preprocessing, potential diffusion model structure improvement, input condition optimization, model training, image generation and the like. The relevance between text description and architectural styles is enhanced by preprocessing data sets of architectural design images and urban planning images and introducing channel crossing and space crossing attention mechanisms. Meanwhile, an architectural style embedding vector, an architectural description text embedding vector and a geometric information embedding vector are combined as additional input conditions to ensure that the generated image contains complete information. In a model training process, a multi-scale strategy and depth separable convolution are adopted, so that the recognition capability and training efficiency of the model to a large scene are improved. The system comprises a data preprocessing module, a model optimization module, a model training module, an image generation module and the like, and can generate a high-resolution building image conforming to design specifications. The method and system can be widely applied to the fields of building design and urban planning, and design efficiency and accuracy are improved.

The invention provides an auxiliary dental implant generation method based on a diffusion model, and relates to the technical field of stomatology, and the method comprises the steps: obtaining historical patient oral cavity CBCT image data, carrying out the preprocessing of the historical patient oral cavity CBCT image data, obtaining a CBCT image data set, training a multi-task segmentation network through the CBCT image data set, and obtaining a CBCT image data set; obtaining an intra-oral tissue segmentation result in the segmentation network; respectively training a detection network from three dimensions of a cross section, a coronal plane and a sagittal plane by using an intraoral tissue segmentation result; obtaining detection results in three directions of a cross section, a coronal plane and a sagittal plane by using a detection network; fusing the detection results in the three directions of the cross section, the coronal plane and the sagittal plane, constructing a three-dimensional bounding box by using a majority voting algorithm, and obtaining an edentulous region; the intraoral segmentation result and the edentulous area serve as prompt information, the network is guided through the iteration process to generate the post-implantation effect, the implantation effect obtained through the method is high in accuracy, and a more accurate auxiliary tool can be provided for stomatology.

The invention provides a model fine tuning training method and device, an answer output method and device and electronic equipment, and aims to solve the problem of low safety of a large language model. The method comprises the following steps: acquiring a plurality of question texts to be processed; for each question text in the plurality of question texts, acquiring a principle keyword corresponding to the question text, and generating a prompt text corresponding to the question text according to the question text and the principle keyword corresponding to the question text; inputting a prompt text corresponding to the question text into a large language model to enable the large language model to output a plurality of answer texts; determining the answer text with the highest security from the plurality of answer texts; and taking the prompt text corresponding to each question text as training data, taking the answer text with the highest security as a training label, and performing fine tuning training on the large language model to obtain the large language model after fine tuning training.

The invention discloses a polishing track planning method for an artificial metal skeleton, which realizes self-adaptive fine polishing on a complex surface through multi-mode perception fusion of vision and touch. The method comprises the steps that global point cloud data and local point cloud data are obtained through a large-view and high-precision line laser sensor, a to-be-polished area and the height difference are accurately calculated in combination with a relative pose matrix and an ICP algorithm, and a polishing track is generated through a greedy triangulation and slice construction algorithm. A least square method is adopted for smoothing a track contour line, a polishing path is optimized, and it is ensured that the track is smooth and stable; and in combination with real-time feedback adjustment of a six-dimensional force sensor, constant force control is achieved, and the problems of uneven pressure and surface damage in traditional grinding are solved. According to the scheme, the grinding precision, consistency and adaptability are remarkably improved, and the method is particularly suitable for high-requirement grinding of metal skeletons in complex forms. Compared with the prior art, the real-time dynamic optimization of the polishing track from visual and tactile data is realized.

The invention relates to a large model SQL (Structured Query Language) generation method integrating few-sample prompt and a multi-choice mechanism. The method comprises the following steps: analyzing a query text input by a user, and determining database mode information corresponding to the query text; according to the query text and the database mode information corresponding to the query text, screening out similar samples from a preset sample library; inputting the query text, the database mode information corresponding to the query text and the similar samples into a pre-trained statement generation model to obtain candidate SQL statements; and selecting a target SQL statement from the candidate SQL statements according to the execution result of the candidate SQL statements. By the adoption of the method, the natural language input by the user can be analyzed, the corresponding database mode can be accurately obtained, the multiple candidate SQL statements are generated in combination with the corresponding similar samples input by the user, the target SQL statement matched with the input of the user is accurately screened out from the candidate SQL statements on the basis of the execution results of the candidate SQL statements, and the user experience is improved. And the accuracy of generating the SQL statement based on the natural language problem is improved.

The invention provides a boiler master control system, a pressure adjusting method, electronic equipment and a storage medium. The system comprises a signal acquisition module, a differential control module, a pressure deviation adjusting loop and an instruction dynamic compensation loop. Compared with the prior art, according to the embodiment of the invention, the differential action intensity is calculated by utilizing the load change signal, the control valve action signal and the main steam pressure signal, so that the first coal quantity adjustment signal is accurately generated. Load change and pressure fluctuation can be responded in time, it is ensured that the coal quantity is adjusted more accurately, and boiler efficiency fluctuation or fuel waste caused by too much or too little coal quantity is avoided. The pressure deviation adjusting loop performs adjustment based on the deviation of the main steam pressure signal, so that the stability of coal quantity control is further improved; the instruction dynamic compensation loop can effectively predict and adjust the coal quantity according to the dynamic change of the boiler load, the parameters of the unit heat energy storage and the boiler capacity input rate so as to adapt to the dynamic change of the boiler load and capacity.

The invention relates to the technical field of ramie seed vigor evaluation methods, in particular to a ramie seed vigor evaluation method and system based on multispectral image analysis, and the method comprises the following steps: collecting a multispectral image and a photoautotrophic fluorescence image of a ramie seed to be detected; constructing a feature matrix of the multispectral fluorescence image, extracting a feature clustering center based on a feature clustering decomposition algorithm, and forming spectral feature data of the ramie seeds; carrying out dimensionality reduction on the feature matrix based on singular value decomposition to generate spectral principal components of the ramie seeds; projecting a spectral principal component to a low-dimensional feature matrix based on nonlinear embedded mapping; generating a spectral index matrix based on the low-dimensional feature matrix; and inputting the spectral index matrix into a depth inversion prediction model to obtain the vigor index of the ramie seeds, and effectively solving the problems of information loss and overlapping in the dimension reduction process in the traditional technology through the feature clustering decomposition and singular value decomposition technology in the processing stage of the multispectral image data.

The invention provides a coal mine gas inspection task generation and distribution method and system, and relates to the technical field of coal mine safety management. The method specifically comprises the following steps: acquiring coal mine geologic structure distribution data and coal mine gas real-time concentration distribution data, and carrying out spatial topology simulation analysis and gas distribution matching to obtain a coal mine gas real-time distribution simulation space; performing wind power distribution detection and wind stopping area division processing on the coal mine to obtain a coal mine gas distribution space fixed wind stopping area and a coal mine gas distribution space temporary wind stopping area; and performing zoned gas leakage hot spot analysis and inspection task generation processing on the coal mine gas distribution space fixed blowing-out area and the coal mine gas distribution space temporary blowing-out area, and performing inspection capability detection and inspection task distribution processing to obtain a coal mine gas inspection task distribution result. According to the invention, the gas inspection efficiency and safety are effectively improved.

The invention belongs to the technical field of artificial intelligence, and relates to a fraud phone recognition method and device, computer equipment and a storage medium. Wherein the call data comprises audio data and metadata; respectively carrying out feature extraction on the audio data and the metadata to obtain audio features and metadata features; performing fraud analysis on the audio features and the metadata features based on a telephone analysis model to obtain a fraud analysis result; if the fraud analysis result is that the call corresponding to the call data is a suspected fraud call, converting the audio data into text data; performing semantic feature extraction on the text data to obtain semantic features; performing fusion processing on the audio features, the metadata features and the semantic features to obtain comprehensive features; and performing fraud recognition on the comprehensive features based on a telephone recognition model to obtain a fraud telephone recognition result corresponding to the call. According to the invention, based on a model combination processing mode, the accuracy and efficiency of telephone fraud identification are effectively improved.

The invention provides a large model service system and method, computer equipment and a readable storage medium. A cue word engineering module configures a cue word template; generating a target text according to the prompt word selected by the user; the retrieval enhancement generation module receives a basic text uploaded by a user, converts the basic text into word vectors, stores the word vectors in a database, and retrieves prompt words from the database according to question information input by the user to generate a target text; the plug-in development module receives the configuration file, analyzes the configuration file to obtain API interface information, calls extended data to retrieve cue words, and generates a target text based on the cue words; and the agent module defines the execution combination and sequence of the cue word engineering module, the retrieval enhancement generation module and the plug-in development module according to the user-defined operation of the user on the system execution chain. By adopting the method, the flexibility of large model service, the efficiency of model retrieval and the safety of model service are improved, diversified business scene requirements are further met, and the user experience is improved.

The invention relates to a method and a device for generating description-type judicial knowledge driven by judicial data. The method comprises the following steps: extracting legal concepts and / or legal terms from a legal text, and constructing judicial concept knowledge ontology based on the legal concepts and / or the legal terms; based on the judicial concept knowledge ontology, a judicial concept extraction model is constructed and trained, the judicial concept extraction model is used for generating descriptive judicial knowledge, and the descriptive judicial knowledge comprises specific vocabularies or phrases which have specific legal definitions and serve as judgment elements in judicial judgment. According to the embodiment of the invention, the description-type judicial knowledge can be accurately generated.

The invention discloses a load control strategy generation method and system suitable for a regional power grid. The method comprises the following steps: acquiring power utilization historical active power data of a load user, and preprocessing the active power data to form a preprocessed power utilization data set; carrying out segmentation processing on the preprocessed power consumption data set of the user according to a time stage and a specific user to generate a time sequence, and carrying out dynamic adjustment according to the time stage and behavior characteristics of the specific user; and converting the time sequence into a frequency domain space, and identifying peak valleys and fluctuation modes in a power consumption curve of the user. Meanwhile, geographic features, industry features, scale features and load characteristics are considered, and load control strategies meeting various user requirements are generated by combining user classification results obtained through clustering analysis and other quantized key features. According to the strategy generation method, pertinence and adaptability of load control are improved, and a power supply company can be helped to better adjust power supply and demand contradictory demands.

The embodiment of the invention belongs to the field of image processing, and relates to a video sequence generation method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining text key information, and generating text description information according to the text key information; extracting spatial position relation information, and constructing an initial virtual scene according to the scene elements and the spatial position relation information; key content information is extracted, and effective virtual camera shooting parameters are acquired according to the key content information; converting a video sequence according to the effective virtual camera shooting parameters; judging whether the video sequence meets a preset quality threshold requirement or not; if not, the virtual camera shooting parameters are adjusted, and the video sequence is converted and adjusted according to the adjusted virtual camera shooting parameters; and extracting deep key information, searching deep scene elements according to the deep key information, and integrating the deep scene elements into the adjusted video sequence to obtain an effective video sequence. According to the method, the effective video sequence conforming to the content of the text information can be effectively and accurately generated according to the input text information.

The invention discloses a holographic display system based on an AI visual identification technology, and relates to the technical field of AI visual identification, and the holographic display system comprises the steps: obtaining real-time image data through at least one image sensor, and carrying out the preprocessing of the image data; analyzing the processed image data by using a deep learning model carried by an algorithm module, generating three-dimensional space information from the processed image data, constructing a holographic image based on the three-dimensional space information, and rendering the holographic image in combination with illumination and material information; the display angle of the holographic image is adjusted according to the position and visual angle information of the user, meanwhile, changes in a scene are monitored, display parameters of the holographic image in the holographic image display system are automatically adjusted, and the holographic image is dynamically modified through interactive input of the user. The method realizes efficient and accurate three-dimensional holographic image generation, has wide application potential, and is particularly suitable for the fields of virtual reality, augmented reality, holographic display and the like which need dynamic display and are high in interactivity.

The invention relates to the technical field of new energy power generation, in particular to a test simulation method and system based on a new energy automatic power generation control master station. AGC parameters of the new energy power plant are obtained and a model is established, wherein the AGC parameters comprise a power plant table, an AGC field group, an AGC system, a control area, a power plant controller, an AGC unit table, power plant measurement and PLC measurement; configuring parameters of an AGC master station test system, wherein the configuration parameters comprise a PLC name, a new energy power station capacity, a current power, a target power, an adjustment upper and lower limit, a test time parameter and the like; performing simulation according to the AGC modeling parameters and the configuration parameters and outputting a simulation result; and generating an AGC control instruction based on a simulation result and evaluating a dynamic performance index. Through a complete parameter modeling system and differentiated performance index evaluation, the accuracy and efficiency of the new energy AGC control test are remarkably improved, the dynamic performance of the new energy power station is accurately evaluated, and reliable technical support is provided for power grid dispatching.

The invention provides a mouth shape generation method and device for voice driving, and relates to the technical field of natural language processing. The method comprises the following steps: based on an ffmpeg tool, carrying out image processing according to original video data to obtain spliced frame image data and facial feature points; according to the original audio data, performing feature extraction through a deep audio feature extractor to obtain audio features; performing feature fusion through an audio-video sequence feature fusion device to obtain fusion features; performing video generation through a lip action generator according to the facial feature points and the fusion features to obtain synthesized video data; optimizing a lip action generator according to the original video data and the synthesized video data; and performing video generation based on the depth audio feature extractor, the audio-video sequence feature fusion device and the optimized lip action generator to obtain target synthesized video data. The invention relates to a mouth shape generation method aiming at voice driving, which is high in video resolution and sufficient in facial texture detail reservation.

The invention relates to the field of computers, and provides an optimal design method, device and equipment for a three-dimensional slope inclined anti-slide pile and a medium. The method comprises the following steps: generating a dynamic library file of a soil constitutive model, and importing the dynamic library file into universal interactive modeling software; setting material attributes for the three-dimensional model, defining boundary conditions, and dividing grids; performing static analysis on the three-dimensional model to generate a visual toolkit file; extracting material point information in the visual toolkit file, and packaging the material point information into a material point file; determining pre-prepared material point method three-dimensional data analysis software; reading the material point file and carrying out dynamic analysis; generating an unstructured grid file of the visual toolkit file in the dynamic analysis process; extracting a slope failure state variable from the unstructured grid file of the visual toolkit file; and by taking the slope failure state variable as an optimization target, adjusting the three-dimensional model to obtain an optimal anti-slide pile design scheme.

The embodiment of the invention discloses a power grid information display method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: acquiring a real-time transmission, transformation and distribution equipment data set; generating an abnormal operation equipment information set; in response to determining that the set is not the null set, determining abnormal region information; for the abnormal region information, executing a first generation step: determining an operation equipment information set; performing abnormal degree region division on the abnormal region information; determining an equipment problem information set and a corresponding problem probability for each piece of abnormal division region information; screening out the equipment problem information meeting the corresponding problem conditions, and obtaining at least one piece of target equipment problem information; and displaying the abnormal division region information sequence and the problem information of the at least one piece of target equipment in the power digital twin model. According to the embodiment, under the condition that the target power grid region is abnormal, the abnormal information under the region granularity and the equipment granularity can be accurately and effectively generated.

The invention relates to the field of artificial intelligence, and provides a digital person generation method and device, a server and a storage medium, and the method comprises the steps: obtaining a reference image of a target person of a to-be-generated digital person, and obtaining a preset posture parameter sequence; generating a plurality of target human body images according to the reference image and the plurality of preset posture parameters; generating a human body grid model of the target person according to the reference image and a preset human body model, and initializing parameters of a Gaussian body based on the human body grid model to obtain an initial digital person; and based on a three-dimensional Gaussian splash algorithm, optimizing a Gaussian body in the initial digital person by using a plurality of target human body images to obtain a target digital person. According to the method and the device, the digital person generation efficiency can be improved and the digital person generation cost can be reduced under the condition of ensuring the digital person quality, so that an insurance company can make the digital person for each insurance agent at relatively low cost and time.

The embodiment of the invention provides a multi-modal video description generation method and device and a computer readable medium, and in the scheme, image features extracted based on video frames are utilized, and sound features extracted based on audio waveform information of an input video are also utilized, so that the multi-modal video description generation method and device are provided. In this way, video description information can be generated by combining multi-modal feature information such as images and sounds, meanwhile, by setting a reasonable feature extraction mode and utilizing a cross attention mechanism to organically fuse feature information of different modalities, compared with a single type of image features, due to the fact that the input features are more comprehensive, the video description efficiency is improved, and the video description efficiency is improved. The video description information about the input video can be more accurately generated, so that the actual content of the input video can be more accurately described.

The invention relates to a multi-modal automatic abstracting method based on deep learning, and belongs to the technical field of computer natural language processing. The method comprises the following steps: 1, extracting text features by utilizing BERT, and extracting image features by utilizing GoogleNet; 2, the extracted image-text features are connected in series to form a series vector; 3, fusing the text features and the image features; 4, inputting the fused text features into a decoder of the text abstract, calculating by adopting the cross attention and self-attention with masks of the decoder to obtain autoregression results of word vectors of the text abstract, and selecting the autoregression result with the maximum probability in an autoregression sequence by utilizing beam search to output the text abstract; 5, inputting the fused image features into a Softmax layer, and performing image abstract output on a sample image with the maximum probability in the samples; compared with the prior art, the method has the advantages that the text abstract is generated and the picture most related to the abstract is selected by adopting deep learning, so that the text abstract and the related picture can be accurately generated, and the practicability is very high.

The invention relates to the technical field of computer aided design, in particular to a fan model generation method and system. The method comprises the following steps: acquiring basic design parameters and constraint conditions of a fan, and performing fan model simulation generation and aerodynamics analogue simulation to generate aerodynamics simulation fields corresponding to different fan models; performing fan blade power curvature and airflow vibration evaluation analysis on the aerodynamic simulation fields corresponding to the different fan models, and performing fan airflow efficiency calculation at the same time to obtain fan air flow efficiency corresponding to the different fan models; performing operation acoustic noise evaluation analysis and performance curve simulation analysis on the corresponding fan three-dimensional models to generate airflow efficiency-noise performance curves corresponding to different fan models; a fan optimization model is generated by obtaining a corresponding fan constraint optimization target and performing time sequence energy efficiency ratio optimization design. The design effect and efficiency of the fan model can be improved.

The embodiment of the invention provides an automatic question and answer method and a tax knowledge question and answer method. The automatic question and answer method comprises the steps of obtaining target question information and a standard question and answer library comprising at least one piece of standard question and answer information; standard question and answer similarities corresponding to the standard question and answer information are generated, and the standard question and answer similarities are similarities between the standard question and answer information and the target question information; and generating answer information corresponding to the question information based on standard question and answer similarities corresponding to the standard question and answer information, a first similarity threshold used for judging whether the target question information is matched with the standard question and answer information or not and a second similarity threshold used for judging whether the target question information is related to the standard question and answer information or not. By combining and effectively integrating multi-channel target task related knowledge, the quality and efficiency of target task consultation are improved, and important support is provided for a user to understand the target task related knowledge.

The invention provides an intelligent bidding and tendering file generation system and method, and belongs to the technical field of information processing, and the system comprises a demand obtaining module which obtains user input data and carries out the analysis, and further determines the demands of a user; the candidate determination module is used for determining an initial attribute value of the bidding project based on the demand of the user, and determining a bidding file candidate template in a preset bidding file template library based on the initial attribute value; the template screening module is used for analyzing the bidding and tendering file candidate templates based on a plurality of preset index types so as to determine a plurality of first templates; the combination determining module is used for determining an optimal template combination based on all the first templates and further generating a dynamic template file; and the file generation module is used for performing split analysis on the data input by the user and the dynamic template file, generating bidding and tendering file configuration information based on a split analysis result, and further generating an optimized and integrated bidding and tendering file in combination with the dynamic template file. And the efficiency of the bidding and tendering process and the accuracy of the file are improved.

The embodiment of the invention discloses a cable tunnel intelligent operation and maintenance method and device based on a digital twinning technology. A specific embodiment of the method comprises the steps of obtaining a point cloud data set and a tunnel drawing; constructing an initial three-dimensional cable tunnel model according to the point cloud data set and the tunnel drawing; according to each sensor arranged in the target cable tunnel, real-time sensing data corresponding to each sensor is obtained, and each piece of real-time sensing data is obtained; generating cable operation analysis information for the target cable tunnel according to the real-time sensing data; generating a cable twinborn model for the target cable tunnel according to the real-time sensing data and the cable operation analysis information; and executing at least one operation and maintenance processing task by using the cable twinning model. According to the implementation mode, the cable twinborn model can be accurately generated, so that intelligent operation and maintenance of the cable tunnel are realized, and cable accidents are avoided.

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.