125 results about "Mind map" patented technology

The invention provides a collision-free global path planning method for a mobile robot, belongs to the field of mobile robot path planning, and is used for solving the problems of intention misjudgment, low role allocation efficiency and high collision risk in a dynamic scene caused by dependence on statistical association in related technologies. According to the method, agent intention reasoning is achieved by constructing a mental atlas containing a causal relationship, efficient role allocation is performed based on a quantum role superposition state, path search is optimized in combination with a conflict risk field, role collapse is triggered when a conflict risk exceeds a threshold value, and cooperation of adjacent agents is guaranteed through a quantum entanglement cooperation state. According to the scheme, intention prediction accuracy and role allocation efficiency are improved, and collision-free and efficient global path planning in a dynamic environment is realized.

The invention discloses an intelligent conference recording and recording method and system. According to the invention, cloud service equipment receives multi-modal information sent by edge equipment; processing the multi-modal information, and generating conference record information in combination with context sensing error correction, content segmentation, a dynamic segmentation strategy and a preset storage strategy; carrying out encryption processing on the conference record information based on the participant role information, and generating target format conference information; processing the target format conference information to generate initial conference scene mode information including a conference outline, a PPT and a mind map; processing the target format conference information and the initial conference scene mode information to generate conference information data after priority ranking and strategy processing; performing semantic analysis, feature fusion and cross-modal association processing on the conference information data to generate target conference scene mode information; and determining a target application program based on the target conference scene mode information, and sending the target format instruction information to the target application program.

The invention discloses a four-layer progressive mind map generation system which comprises an input module which can receive input of various document formats, supports simultaneous receiving of multiple documents and adopts a multi-source heterogeneous data adapter to unify the formats; the hierarchical preprocessing module is connected with the input module, receives the converted DOCX document data, and performs hierarchical feature enhancement and hierarchical rule configuration on the data; the bimodal processing module fuses a hierarchical driving structured extraction mode and a large language model generation mode, the hierarchical driving structured extraction mode constructs a hierarchical incidence matrix and the like, and the large language model generation mode provides task instructions and the like; and the structured output module is used for providing multi-format conversion, mind map downloading and interaction functional components. The system has the advantages that all the modules work cooperatively, multi-format document processing is achieved, multiple modes are fused to generate the mind map, rich output functions are provided, and a user can conveniently and efficiently generate and use the mind map.

The invention relates to the technical field of automobile software testing, and discloses a software test case automatic generation method and system based on a language AI large model, and the method comprises the steps: extracting a position path, a function name and a test design direction content from user input information, generating a configuration file through a preset Prompt template, and calling the AI large model to interpret the user intention. Function, performance and regulation analysis tasks are split, an AI large model is utilized to integrate information, test design analysis is carried out, classification and redundant content cutting are carried out, self-check evaluation is completed, a formatted Markdown test design file is generated and then converted into a mind map, an engineer checks the mind map, manual modification and optimization are carried out according to needs, and the method is simple and convenient. The modified mind map is converted into a Markdown file, a formatted test case file is generated, the difference of the Markdown file before and after modification is compared through an AI large model, a Prompt template is updated, according to the method, the test case can be efficiently generated, manpower dependence is reduced, and therefore the adaptability of the test case is guaranteed.

The invention provides a mind map generation method and device based on a large model and electronic equipment, and relates to the field of artificial intelligence, in particular to the technical field of large models and natural language processing. Determining N types of reference elements; according to the N types of reference elements, generation data of the mind map is determined, the generation data comprises nodes and node information of the nodes, and the node information carries node filling data obtained by the large model based on the reference elements; generating data of the mind map are transmitted to a front end, a target mind map is generated at the front end, at least one piece of node information of the target mind map is filled with chart information and supports any type and number of reference elements, the mind map is generated, and at least one piece of node information of the target mind map is filled with chart information and supports any type and number of reference elements. The visualization degree of the target mind map is improved, the generated target mind map better meets user requirements, and the user experience is improved.

The invention relates to a self-adaptive excitation method for maintaining healthy behaviors. The method comprises the following steps: acquiring environmental data in a target area and physical signs and behavior data of a person; extracting behavior characteristics of the person according to the physiological indexes and the behavior data; constructing a short-term dynamic behavior and a long-term trend behavior according to the behavior characteristics; fusing the short-term dynamic behavior and the long-term trend behavior by using a cross attention mechanism and a gating fusion formula; establishing a health behavior thinking map; generating personalized incentive content; matching the character features with the excitation content through a multi-dimensional depth similarity algorithm, and generating excitation feedback in a text, voice or video form; and iteratively updating the excitation triggering condition and the content generation strategy according to the character behavior corresponding data. Through the technical scheme of the invention, not only can the probability of behavior change be improved, but also the interpretability of the excitation method can be effectively improved.

The invention discloses a test method and system and a medium. The method comprises the following steps: receiving a mind map file as input; converting nodes in the mind map into items of a test case; selecting a corresponding use case template according to the test scene; exporting the test case as a spreadsheet file; analyzing the demand document and the test case file to count a demand coverage rate; collecting a test execution result and defect information; and generating a test report containing statistical data, charts and analysis. According to the invention, the efficiency of test case generation and report writing can be improved, and automatic statistics of the demand coverage rate is realized.

The invention discloses a tumor medical record time axis generation method based on multi-modal recognition and dynamic cue words, which thoroughly solves the problem of disordered stage division of a traditional method by introducing a dynamic cue word mechanism into an operation discrimination node. Through a multi-mode OCR + NLP fusion strategy, the accuracy of medical record information extraction is greatly improved; the medical compliance of the time axis is ensured through time sequence verification and field completion driven by the knowledge graph; and through front-end mind map or medical history outline visualization, the complex medical record can be clearly displayed. Practice shows that compared with manual arrangement, the time consumption of sequential output of the complete medical record is reduced by more than 90%, the item missing rate is reduced by more than 80%, and the method can be widely applied to scenes such as clinical decision support, follow-up visit management, scientific research data integration and medical insurance quality control.

The embodiment of the invention provides a test case generation method and related equipment, and relates to the technical field of automatic testing, the method comprises the following steps: obtaining related parameters of a target brain map based on a target command line; according to the related parameters, reading the target brain map to determine target information; generating a target test case population according to the target information; wherein the target information comprises entity information, relation information and / or event information. In this way, the test case population can be automatically generated without manual participation, and the generation efficiency, the coverage rate and the applicability to frequent iteration scenes of the test case population are improved.

The invention provides an electronic health record enhanced reasoning method and system based on a thinking map and reinforcement learning, and the method comprises the steps: carrying out the definition and classification of an electronic health record EHR analysis task, and dividing the EHR analysis task into a clinical decision task and a risk prediction task; constructing an EHR reasoning data automatic generation process, including entity extraction and co-occurrence analysis, construction of a thinking graph based on a knowledge graph, reasoning path synthesis and data generation; and performing reasoning enhanced EHR analysis large language model training, including continuous pre-training, EHR reasoning data instruction fine tuning and EHR analysis task reinforcement learning. According to the method, the external medical knowledge graph is utilized to construct the thinking graph, two-stage post-training and reinforcement learning strategies are combined, and the reasoning ability, diagnosis accuracy and generalization of LLM in various EHR analysis tasks are improved.

The present invention relates to the field of artificial intelligence technology, and particularly to an AI-driven multi-language intelligent document summarization and mind map generation system. The system realizes the unified representation of data such as multi-language texts, images, and tables through a multi-modal semantic feature generation module, and constructs a dynamically optimized causal semantic graph; generates a logically clear semantic flow path based on the dynamic semantic flow modeling method for multi-language summary generation; uses a generative adversarial network to optimize the structure of the mind map, and further improves the content of the mind map through user interaction adjustment and logical consistency verification. The system of the present invention supports users to efficiently extract the core information of the document, visually displays the logical structure, significantly improves the accuracy, logic, and efficiency of document generation, and is applicable to the generation of complex multi-modal documents and decision-making support.

The invention provides an electronic whiteboard mind map editing method and device, equipment and a storage medium, and the electronic whiteboard mind map editing method comprises the steps: obtaining the node information of each node in a mind map of an electronic whiteboard, carrying out the real-time analysis of the node information of each node, determining a dynamic distance threshold value, and carrying out the dragging operation of the electronic whiteboard, thereby achieving the editing of the mind map of the electronic whiteboard. Dragging a target node in the mind map from a first position to a second position, calculating a moving distance between the first position and the second position, and when the moving distance is greater than or equal to a dynamic distance threshold value, determining a target hierarchical relationship between the target node and other nodes according to the second position and node information, the target nodes are rearranged according to the target hierarchical relationship, the rearranged target nodes are displayed, effective dragging is accurately distinguished through the dynamic distance threshold value, and therefore the target nodes are rearranged and displayed according to the target hierarchical relationship, hierarchical relationship reconstruction and display are achieved, and the editing experience of a user is improved.

The invention discloses a multilevel intelligent mind map generation device based on a large model, and the device comprises a multi-modal data conversion module which processes audio and video data through a multi-modal large model, and converts the input text data and the audio and video processing data into a unified structured text format; the data preprocessing module is used for performing deep semantic analysis on the structured text, extracting key information elements, and performing document slicing and entity structure processing to obtain structured data; the graph fusion module is used for constructing a knowledge graph based on the structured data and ensuring the data quality through an entropy increase resistant mechanism; the graph generation module is used for extracting a community structure from the knowledge graph and generating hierarchical node data of the mind map; the mapping module is used for rendering the node data into a multi-level mind map; and the output module provides interactive display and file export functions of the mind map. According to the device, automatic and multi-level generation of the mind map is realized, and the generation efficiency and accuracy are remarkably improved.

The invention provides a mind map generation method of literature information, a storage medium and electronic equipment. The method comprises the following steps: S10, carrying out structural analysis on an uploaded document to obtain a structured format file; s20, calling a first large language model to perform content structured analysis on the structured format file to obtain an analysis result; and S30, calling a first large language model to generate a mind map of the literature according to the analysis result.

The invention relates to a visual reasoning analysis method and device based on a relation graph and a thinking brain graph, computer equipment and a storage medium. The method comprises the following steps: constructing a plurality of theme libraries of network-related cases; obtaining knowledge points or case reasoning analysis points from each theme library according to case characteristics and case investigation demand information of the target network-related case, and constructing a thinking brain map by taking the target network-related case as a central theme, taking a fraud-related application, a fraud-related website, an application server and a third-party application service as main branches and taking the knowledge points as sub-branches; obtaining entities of the target network-related case and relationships among the entities from the theme libraries, constructing a relationship map according to the entities and the relationships among the entities, and associating the relationship map to a thinking brain map; performing visual display on the thinking brain map; and carrying out visual display on the relation graph. According to the method, the relation graph and the thinking brain graph are associated to analyze the clues of the network-related cases, the complex case data relation can be clearly displayed, the analysis accuracy is improved, and the investigation efficiency is improved.

The invention discloses an education evaluation method and system based on visual identification data analysis, and relates to the technical field of education analysis, and the method comprises the steps: presetting the understanding difficulty for each mapping node, and taking the understanding difficulty as a teaching path reference; performing semantic analysis on the explanation scheme, extracting knowledge points and secondary and supplementary key phrases, and associating the knowledge points and the secondary and supplementary key phrases to corresponding mapping nodes to realize content structuring; acquiring real-time classroom voice information, extracting and analyzing characters to determine real-time keywords, positioning corresponding nodes in the mind map, sequentially connecting the nodes to form a real-time map node sequence line, and capturing an actual explanation path; calculating student initial state evaluation, combining node difficulty correction to obtain final evaluation, and accumulating all student evaluation as a teaching effect; taking a preset explanation order line teaching effect corresponding to the real-time order line as a standard, determining the relative positioning of actual evaluation, and achieving deviation quantification; according to the invention, through multi-modal fusion and a dynamic order line mechanism, the real-time performance and accuracy of evaluation are improved, and teaching improvement guidance is provided.

The invention provides a smart home instruction understanding method based on fusion voiceprint and environment context. Firstly, by means of scene mental atlas dynamic construction and graph neural network reasoning, modeling is conducted on family multi-source heterogeneous information, high-level scene embedding is generated, single-dimension limitation is broken through, and implicit or fuzzy intention recognition precision is improved. And secondly, an intention-behavior probability potential field is introduced and combined with a generator module of a generative adversarial network thought, joint probability distribution of user intentions and system behaviors is dynamically modeled, and fine demand prediction and active equipment operation are realized in cooperation with a deep reinforcement learning module. And finally, through a scene disturbance and causal anti-fact reasoning module, quantitatively learning a causal relationship between a key scene variable and a probability potential field, optimizing a map causal edge weight, avoiding a wrong decision, and enhancing system generalization ability and decision reliability.

The embodiment of the invention provides a document generation method and device. According to the method, the test item can be hierarchically split through mind map node arrangement provided by the editing window, so that a tester can more clearly control the test coverage range, the risk of case omission is reduced, and the document generation precision is improved. Based on the document template and the target mind map, a test design document and a test case document are generated, and a demand tracking table is generated in the test design document. Due to the fact that the test design document and the test case document are from the same target mind map, the problem of information splitting of traditional scattered documents is avoided in the mode, the test design, the test requirements and the test cases have strong relation, and efficient tracking is facilitated.

The present application discloses a method and apparatus for mind map image recognition and parsing and reconstruction. The method includes: adjusting the size of the mind map image and then cutting it to obtain image blocks; generating a binary mask map of the text region, and reassembling the text region mask maps generated by block division into a complete binary mask map of the text region; extracting the text image blocks corresponding to the regions of the adjusted mind map, and identifying the text information and the corresponding positional relationship in the extracted text region image blocks; recutting the image, generating a complete binary mask map of the line segments according to the detected line segment information, and finally correcting the line segment information according to the binary contour of the line segment mask map; determining the matching relationship between the text region nodes and the line segments and the connection relationship between different text region nodes according to the intersection situation of the corrected line segments and the positional and distance relationships between the text regions and the line segments, and reconstructing the mind map. The present application improves the efficiency of mind map material generation and style conversion.

This paper provides a content display method, an interaction method, a device, an electronic device, and a storage medium. The content display method includes: displaying a first visual mind map, the first visual mind map being editable; and, in response to a first display operation, displaying first content, the first content corresponding to either the first visual mind map or a second visual mind map, the second visual mind map being edited from the first visual mind map, and the first content being used by virtual objects as retrieval-enhanced data. This paper utilizes the above technical solution to improve the efficiency of information retrieval based on visual mind maps.

The application discloses an interactive thought map knowledge base device, which can be used for constructing a fusion type knowledge base based on natural language and without limitation of language types, and can be used as a component module of other artificial intelligence systems to provide a knowledge representation or a function of answering questions based on reasoning. The application allows knowledge and thought methods to be represented based on natural language texts, has strong representation capability, and is easy to understand and use. The application supports progressive fusion of knowledge represented based on different languages. The application supports establishment of a large knowledge base in a progressive fusion manner. Knowledge and thought methods are cooperatively represented in a mutually related manner, reasoning calculation results can further drive new reasoning calculation processes, autonomous driving thinking is realized, new information can be actively acquired on demand during the reasoning calculation process, and the reasoning calculation process is based on facts when the thought map content in the knowledge base is consistent with facts, and the reasoning calculation results also necessarily reflect the facts.

The application provides a website multilevel menu processing method, device and equipment and a storage medium. The method comprises the following steps: receiving a mind map file established based on the hierarchical relationship of a target website menu, parsing the mind map file, calling a corresponding network request, updating the multilevel menu of a website to be maintained, and obtaining the updated multilevel menu consistent with the target website menu. The method can realize one-key update processing of the multilevel menu of the website to be maintained through the mind map, thereby avoiding the complex operation of repeatedly expanding the entire menu layer by layer when updating the multilevel menu. The processing process is convenient and fast, and the processing efficiency is high.

The invention relates to a mind map generation method and device, and the method comprises the steps: obtaining a to-be-converted document, and extracting a content outline set and a content element set in the to-be-converted document; on the basis of the hierarchy of the content outline in the content outline set, constructing a document content outline skeleton, and for any leaf content outline in the document content outline skeleton, executing the following operations: determining content elements belonging to the leaf content outline from the content element set, and generating leaf nodes of the leaf content outline according to the content elements; and generating a mind map based on the document content schema skeleton and the leaf nodes of the at least one leaf content schema. The problem that a mind map is incomplete due to the fact that an existing scheme cannot process non-text content is solved. Meanwhile, the lightweight processing flow gets rid of dependence on a large GPU server, the deployment cost is reduced, the flexibility is improved, and different scene requirements are met.

The invention provides a mind map display method and system, equipment and a medium. The display method comprises the following steps: acquiring answer information about exercises of a user; determining whether a target node exists in the mind map according to the answer information; if so, hiding the child node of the target node in a mind map; wherein the answer information corresponding to all the descendant nodes of the target node is correct answer information. According to the mind map display method and system, the equipment and the medium, the mind map display mode is improved, so that learners can be helped to obtain the advantages that knowledge points brought by the mind map are intuitive, convenient and clear in veins, and the mind map is improved, so that the mind map display effect is improved. According to the technical scheme, the defect that knowledge points are difficult to search and locate due to redundant information display is effectively avoided, and a learner can efficiently carry out knowledge point sorting and wrong question book correction learning through the mind map, so that the learning efficiency is improved, personalized learning experience is obtained, and knowledge internalization of the learner is promoted.

1. The name of the design product: business voice recorder (H11 / H12 / H13). 2. The use of the design product: for recording, transcription, translation, summary, mind map. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The present invention discloses a method, system, electronic device, and medium for retrieving open omics data. The present invention obtains descriptive information from open-source omics databases and integrates multiple database descriptions, solving the problem of cross-database retrieval. The present invention integrates omics data with a biomedical knowledge graph through a large model and automatically maps it to the omics data page based on the knowledge graph using multiple search logics. The present invention uses mind maps to assist users in retrieving, decomposing and expanding the user's questions, and using the large model as an assistant to assist users in thinking about the retrieval process, improving the retrieval efficiency. The present invention explains the reason for selecting a certain omics data in the form of natural language based on the large model and comprehensively summarizes the content of the omics data so that users can quickly determine whether the retrieved omics data meets the requirements. The present invention reduces the user's retrieval time and cost and improves the retrieval accuracy and efficiency.

The application provides a method and system for automatically generating a network security test task outline based on subjects, comprising the following steps: S1, based on task information file decomposition index requirements, analyzing network security index keywords related to network security test in the index requirements; S2, based on the network security index keywords, using a related entity discovery technology to obtain recommended subjects corresponding to the index; S3, using a mind map to display the corresponding relationship between the measured system, the index and the subject; and S4, based on the corresponding relationship between the measured system, the index and the subject, using a network security test task outline template to automatically generate a test task outline.

1. Name of the product in this design: Graphical User Interface (Business Knowledge Guide) for Water Resources Business Analysis and Management System for Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Uses of the graphical user interface: for building a learning system for project-related knowledge, evaluating work statistics, compiling and querying information on honors and awards, and assisting in work. 6. Human-computer interaction method of graphical user interface: Click "Knowledge Map" in the upper left corner of the main view to enter the interface change state diagram 1, which can view mind maps of various knowledge categories. Clicking "Add Knowledge Category" on the upper right of the interface change state diagram 1 will take you to the interface change state diagram 2. This interface allows you to add a root node. By entering information such as "Knowledge Title", "Sorting" and "Knowledge Content Type", you can add a new knowledge category. In the interface, "XXX" represents text, numbers, letters, or symbols.

This invention relates to the field of R&D management technology, and discloses a method, apparatus, device, and medium for converting mind maps to tables. The method includes: parsing a mind map file to form a node tree structure; establishing a mapping relationship between the node tree structure and table fields; traversing branch paths and extracting text in reverse to generate data entries containing path fields, name fields, step fields, and result fields; detecting the tag attributes of nodes at a specified level to generate priority identifiers; generating an output file name and writing the data entries and priority identifiers into a table file. This invention can be applied to business scenarios such as fintech and healthcare. By mapping the node tree structure to table fields and extracting text in reverse from branch paths, it achieves automatic conversion between mind maps and tables, reducing manual processing and improving the accuracy of field correspondence.

The invention relates to a multi-span collaborative study and judgment method based on a thinking brain map. The method comprises the following steps: constructing the thinking brain map by taking a case event as a central point and taking a case element as a node; in response to a collaborative editing operation of any user on the thinking brain map in multi-span collaboration, identifying an operation type of the collaborative editing operation; if the operation type is a modified node type, identifying a first target node corresponding to the collaborative editing operation in the thinking brain map, and obtaining editing content of the collaborative editing operation; standardizing the edited content through a preset data format to obtain standardized edited content, and updating a first target node in the thinking brain map according to the standardized edited content; and encrypting the updated thinking brain map, and pushing the encrypted thinking brain map to each user of the intranet from the extranet by adopting a secure data transmission technology, so that each user carries out case research and judgment through the updated thinking brain map. According to the method, cross-network and cross-department multi-person collaborative research and judgment can be realized, and the research and judgment efficiency and the data security are improved.