66results about How to "Accurate understanding" patented technology

The invention is applicable to the technical field of artificial intelligence, and provides a large-model multi-agent-based method for automatically generating a complex-structure document, which comprises the following steps of: mapping an original structured document template into a compressed structure mark sequence with a reserved layout, and performing zero-sample semantic understanding and planning through a structure planning agent to obtain a complex-structure document; generating an atomic operation execution plan; according to the semantic logic relationship among the atomic operations in the structured execution plan, constructing a field-dependent directed acyclic graph, carrying out topological sorting on the field-dependent directed acyclic graph, and determining an execution sequence of content generation; through collaborative iteration of the content generation agent and the symbol verification agent, each field content is generated under the condition that a hard constraint condition is met; and finally synthesizing a complete document. According to the method, accurate understanding, reliable generation and format guarantee of the complex document under the zero sample condition are realized.

The application discloses an interactive communication management system and method based on 5G communication and belongs to the technical field of interactive communication.The application discloses an interactive communication management system based on 5G communication, which comprises an interactive communication identification module, an interactive information acquisition module, an interactive information processing module, an interactive information management and control module and a data information management module.The application solves the problem that the existing mobile terminal cannot well identify the identity of the mobile terminal when performing interactive communication, cannot timely and accurately understand the interactive communication information of the mobile terminal and leads to poor interactive communication effect.The application can identify the identity of the mobile terminal when performing interactive communication, can timely and accurately understand the interactive communication information of the mobile terminal and improves the interactive communication effect.

The invention discloses an action instruction generation method, computing equipment and a machine readable storage medium, and relates to the technical field of intelligent equipment. The method comprises the steps of querying a preset scene knowledge base based on an input task instruction to obtain background knowledge corresponding to the task instruction; generating an enhancement instruction based on the background knowledge and the task instruction; and inputting the enhancement instruction and the body state of the controlled equipment into a pre-trained action planning model to obtain an action instruction for driving the controlled equipment to execute a task. By introducing a scene knowledge base and an instruction enhancement mechanism, precise understanding and reliable planning of fuzzy or complex instructions by the controlled equipment are realized, and the adaptability and task success rate of the controlled equipment under strange environments and complex tasks are improved. And the action sequence which is safe and efficient and conforms to the context situation is generated, so that the capability of continuously learning and executing tasks in the open world of the controlled equipment is realized at lower cost.

This invention relates to the field of named entity recognition technology, and discloses a multimodal named entity recognition method and apparatus based on deep interaction of text and image features. The method includes: acquiring original text and an original image; extracting multimodal features from the original text and the original image respectively to obtain a text feature sequence and an image feature sequence fused with multi-scale features; performing cross-modal deep interaction fusion on the text feature sequence and the image feature sequence to obtain an interacted multimodal feature sequence; performing context-aware adaptive gating fusion on the interacted multimodal feature sequence to obtain a fused feature sequence; and performing conditional random field sequence decoding on the fused feature sequence to obtain an entity label sequence. This invention achieves deep bidirectional interaction and dynamic adaptive fusion of multimodal information, effectively solving the text ambiguity problem and improving the accuracy of named entity recognition.

The utility model belongs to door lock technical field, especially relate to a door lock, including inner mounting seat and outer mounting seat, and the inner mounting seat is rotatably installed with inner door handle and outer door handle on outer mounting seat respectively, and the inner door handle and outer door handle are linked through square shaft, still include: observation window, indicating piece, slide and install in the inner side of inner mounting seat, with observation window adjacent, can move back and forth between the anti -lock position and the unlocking position, have the first position of unlocking indication when unlocking, have the second position of anti -lock indication when anti -lock, wherein, the inner door handle head one end of inner door handle passes through inner mounting seat and is linked with indicating piece through transmission structure to realize indicating piece back and forth movement. The utility model has the advantages that: the setting of indicating piece cooperation transmission structure can realize indicating piece and door handle open anti -lock linkage, and the setting of observation window can understand door lock state quickly, accurately, unambiguously, effectively prevent user from being mistaken and think that the door has been locked.

The invention relates to the technical field of financial data analysis, in particular to an interactive financial data retrieval and analysis system based on big data. Comprising a data access module, a data unification module, a semantic understanding and intention recognition module, a retrieval execution module, a financial analysis module and an interactive visualization module. The system can access financial information from multi-source data and perform cleaning, standardization, main data alignment and management to generate data for query and analysis. Query intentions and entities are recognized through natural language analysis, structured semantic representation is constructed, and multi-dimensional aggregation, backtracking and predictive analysis are achieved. And the retrieval execution module and the financial analysis module cooperate to ensure that the result is reproducible and credible. And the interactive visualization module dynamically presents the analysis result. According to the method, accurate understanding and structured representation of natural language query of the user are realized, so that financial data retrieval can quickly respond to the intention of the user, the query accuracy and efficiency are improved, and the reliability and precision of financial decisions are improved.

The utility model relates to the technical field of power lines, and provides a power line insulating layer detection device which comprises a base, a sliding plate is integrally and fixedly connected to the upper end face of the base, sliding grooves are formed in the upper end face of the sliding plate at equal intervals, and a motor is installed on the left side of the front end of the base. The output end of the motor is fixedly mounted and connected with a middle shaft of a half gear, the electric telescopic rod is mounted on the inner wall of the front end of the mounting plate, the output end of the rear end of the electric telescopic rod is fixedly mounted with the front end of a sliding block, the winding rollers are rotationally mounted on the left side wall and the right side wall of the base correspondingly, and the half gear is connected to the left side of a rotating gear in an engaged mode; the control panel is installed in the middle of the supporting frame, and the detection structure is fixedly connected to the lower end face of the sliding rod. According to the power line insulation layer detection device, multiple power lines can be conveniently detected and processed at the same time, the working efficiency is improved, meanwhile, the positions of damaged power lines can be accurately known, and maintenance processing is convenient.

This invention discloses a robot autonomous configuration service system built around a large-model agent framework, including a robot autonomous task system, a large-model agent framework, an application system, and an evaluation system. The large-model agent framework receives user instructions, parses task requirements, and generates task execution strategies. The robot autonomous task system drives the robot to complete physical actions based on the task execution strategies and introduces an agent extension mechanism to adapt the large-model agent framework to different types of robots and task environments. The application system is used for data transmission, storage, and visual interactive operation. The evaluation system collects task execution data in real time and outputs quantitative evaluation results to optimize the execution strategy. This system effectively reduces the threshold of human-machine interaction and the difficulty of understanding two-way intentions, significantly improving the robot's task adaptation flexibility and execution reliability, and is suitable for various robot autonomous operation needs in multiple scenarios such as inspection, delivery, and search.

The application discloses a kind of intelligent physiotherapy control systems of physiotherapy equipment, belong to the technical field of physiotherapy instrument control system, the system includes integrated in physiotherapy comb body physiotherapy execution module, for real-time acquisition user physiological parameter physiological parameter sensing module, and with the communication connection of both intelligent control unit.State analysis module is included in intelligent control unit, for the current physiological state of user is analyzed according to the physiological parameter of acquisition;Strategy generation module is used to match or generate target physiotherapy strategy from preset physiotherapy mode library based on current physiological state;And drive control module is used to drive physiotherapy execution module to work according to target physiotherapy strategy.The application is fused by multi-source physiological signal, and the state of user is analyzed, and using the intelligent decision mechanism including reinforcement learning, generative algorithm, dynamically generates or optimizes physiotherapy strategy, realizes the real-time self-adaptation and high personalization of physiotherapy process, improves the safety and effectiveness of physiotherapy.

The invention provides an industrial park innovation atmosphere evaluation method and system, and the method comprises the steps: carrying out the data preprocessing of an obtained initial historical live-action image set, and obtaining a target historical live-action image set; a multi-level industrial park innovation atmosphere evaluation system comprising a target layer, a criterion layer and an index layer is constructed, the target layer is used for defining an overall target of industrial park innovation atmosphere evaluation, and the criterion layer is used for disassembling the defined overall target of the target layer into two types of intermediate dimensions, namely visual feeling and element characteristics; the index layer is used for determining specific indexes with pertinence for each dimension of the criterion layer; scoring the target historical live-action image set according to the multi-level industrial park innovation atmosphere evaluation system to determine an evaluation criterion, and determining a core MLLM evaluation model according to the evaluation criterion; and based on the core MLLM evaluation model, establishing an automatic innovation atmosphere evaluation framework according to organic fusion of core driving subject identity definition, evaluation view and corresponding priority evaluation indexes.

The invention relates to the technical field of barrier-free man-machine interaction design services, in particular to a barrier-free man-machine interaction design service method and system, and the method comprises the following steps: receiving a user voice instruction, and trying to execute the user voice instruction; when the user voice instruction is not successfully executed, recording the instruction which is not successfully executed; judging whether the user is in a restless emotional state according to the voice features, and when the user is in the restless emotional state, activating a correction monitoring mode; in the correction monitoring mode, receiving subsequent voice input, associating the subsequent voice input with the command which is not successfully executed, and taking the subsequent voice input as correction of the command which is not successfully executed so as to determine the real intention of the user; and mapping the real intention of the user to a design software operation sequence and executing the operation. The accuracy of barrier-free man-machine interaction and the user experience are improved.

The invention relates to the technical field of computer information processing, in particular to an automatic compliance detection method, device and system. The method aims at solving the problems that in the prior art, due to the fact that compliance inspection depends on manual work, efficiency is low, standards are not uniform, and massive dynamic change rules are difficult to deal with. The method comprises the following steps: firstly, constructing and dynamically updating a structured compliance rule knowledge base; then, obtaining to-be-detected target content through a data interface, and performing analysis and key information extraction on the to-be-detected target content by utilizing a natural language processing technology; then, carrying out automatic matching and logical reasoning on the extracted information and terms in a compliance rule knowledge base so as to identify potential compliance risk points; and finally, generating a structured detection report, and listing risk contents, clauses and correction suggestions in detail. According to the invention, the efficiency and coverage of compliance detection are significantly improved, the risk of artificial omission and false detection is reduced, and the detection efficiency is improved.

The disclosure provides a semantic recognition method, device, equipment, storage medium and vehicle. It relates to the technical field of data processing, and particularly relates to the technical fields of natural language processing, deep learning and human-computer interaction. The specific implementation is: obtaining a target voice instruction; matching the target voice instruction with a plurality of semantic templates established based on rules to obtain a first confidence degree of matching the target voice instruction with an optimal semantic template of the target voice instruction; in a case where the first confidence degree is higher than a confidence threshold, obtaining a semantic recognition result of the target voice instruction based on the optimal semantic template; and in a case where the first confidence degree is less than or equal to the confidence threshold, inputting the target voice instruction into a natural language understanding model to obtain the semantic recognition result of the target voice instruction. The combination of the semantic template and the natural language understanding model can quickly and accurately understand the semantics of the voice instruction.

This invention discloses a semantic understanding method and engine based on multi-model collaborative reasoning and self-supervised learning, belonging to the fields of natural language processing and artificial intelligence. The method includes preprocessing input data to extract semantic features; intelligently scheduling at least two models from a large language model, task-oriented model, and rule engine for collaborative reasoning through a dynamic routing module based on multi-level policies and meta-learning networks; using a multi-model fusion module to perform hierarchical fusion and conflict resolution of the reasoning results, outputting the final semantic understanding result; and continuously optimizing the system through feedback learning. A self-supervised pre-training task is used to learn a general semantic representation from unlabeled data to enhance the model's generalization ability. The engine includes core modules such as input processing, dynamic routing, multi-model fusion, feedback learning, model repository, and monitoring and security, which work together to implement the above method. This invention achieves high-precision, high-efficiency, and adaptive semantic understanding.

The application relates to the technical field of artificial intelligence and industrial simulation, in particular to an evolvable industrial simulation question and answer intelligent agent system and a simulation question and answer method thereof. The evolvable industrial simulation question and answer intelligent agent system comprises a knowledge base module, a tool calling module, an intelligent agent core module, a user interaction module and a log and audit module; the knowledge base module comprises a multi-element knowledge collection unit, a document loading and cutting unit, a vectorization embedding and storage unit, a semantic retrieval unit, a knowledge evolution unit, a rule base and a case base; the application has the beneficial effects that (1) knowledge is dynamically evolved and updated autonomously and timely; (2) the system has the capability of autonomously refining knowledge from simulation results; (3) tool calling is intelligentized, and the system realizes "question and answer as calculation"; (4) the system has strong capabilities of complex problem disassembly and iterative solution; and (5) the system has excellent adaptability and expandability.

The invention relates to the technical field of computers, and provides an intelligent operation method and device for enterprise quality management, equipment and a medium, and the method comprises the steps: constructing a quality knowledge base based on multi-source quality data in an enterprise; receiving a quality task instruction from a user or an upstream system, and analyzing a task type corresponding to the quality task instruction and key parameters associated with the quality task instruction; calling a quality management workflow template based on the task type, the key parameters associated with the task type and a quality knowledge base, and generating a corresponding workflow; executing a corresponding task based on the workflow, and collecting feedback information related to task execution; and based on the feedback information, adjusting an analysis strategy for the quality task instruction and updating the knowledge content in the quality knowledge base. According to the scheme, intelligent closed loop of quality management is realized, and the problems of low efficiency, slow response, difficult data utilization, long improvement period and the like of a traditional mode are effectively solved.

The application relates to an intelligent interactive robot and an interactive system, which comprise a sensing module, a mechanical arm module and a main control module. The sensing module is used for collecting sensing data of a target area, and the target area covers at least a target object. The mechanical arm module comprises a multi-degree-of-freedom motion mechanism, a fixed part arranged at a first end of the multi-degree-of-freedom motion mechanism and a device connecting part arranged at a second end of the multi-degree-of-freedom motion mechanism. The fixed part is used for maintaining the first end of the multi-degree-of-freedom motion mechanism fixed, and the device connecting part is used for connecting a target device. The main control module is connected with the sensing module and the multi-degree-of-freedom motion mechanism, is used for acquiring the sensing data, acquiring position information and / or posture information of the target object according to the sensing data, and controlling the multi-degree-of-freedom motion mechanism to move according to the position information and / or the posture information, so that the relative position between the target device and a target feature of the target object meets preset requirements.

The invention relates to the technical field of artificial intelligence, and discloses a business data analysis method and device for a mobile communication network based on big data, and the method comprises the steps: obtaining user feedback information and service type information; performing format conversion processing on the user feedback information to obtain first text information; target problem text information is obtained through feature fusion and semantic optimization of the first text information and the service category information; processing the target question text information to obtain target reply text information; calling a preset response template, and performing corresponding area filling processing on the target question text information and the target reply text information to obtain target response information; and performing format adaptation processing on the target response information and outputting the target response information to the user to obtain a response result of the user.

This utility model discloses a light adjustment device and lighting equipment, relating to the field of lighting equipment technology. The light adjustment device includes a pressure sensor, a roller bracket, and an adjustment wheel. The pressure sensor is installed inside the main body of the lighting equipment. The roller bracket is fixedly installed on the main body of the lighting equipment. The adjustment wheel is hinged to the roller bracket via a rotating shaft, and an adjustment section is provided on the side of the adjustment wheel near the pressure sensor. The adjustment wheel rotates relative to the roller bracket, allowing different parts of the adjustment section to press against the sensing surface of the pressure sensor. The roller bracket has a positioning part corresponding to the adjustment wheel, which limits the relative position of the adjustment wheel and the roller bracket. The light adjustment device provided by this utility model utilizes the rotation of the adjustment wheel to provide different pressures to the pressure sensor, thereby adjusting the lighting mode of the lighting equipment. This makes operation more convenient and accurate, improving the user experience of using the lighting equipment.

The invention provides an intelligent homework correcting method based on geometric proof questions. The intelligent homework correcting method comprises a question image analysis step, a reference answer structured analysis step, a student answer semantic normalization step and a proof path matching judgment step. According to the method, a user-defined corner name in a student graphic label is efficiently and accurately analyzed, angle semantic expression is unified, structured analysis is carried out on a student written proof text, and a logic derivation path is extracted, so that whether an effective reasoning chain from question condition derivation to conclusion is formed or not is judged; and the understanding ability of custom labels of students and the structured judgment ability of logical reasoning chains are obviously improved.

The invention provides a ponding image day and night bidirectional conversion model construction method based on reflection map consistency and application, and the method comprises the following steps: obtaining a plurality of groups of real day and night ponding image pairs comprising real daytime ponding images and real night ponding images, and generating daytime scene cues for each real daytime ponding image, generating a night scene prompt word for each real night ponding image; constructing a waterlogging image day and night bidirectional conversion framework comprising a brightening conversion unit and a darkening conversion unit, wherein the waterlogging image day and night bidirectional conversion framework generates a simulated night waterlogging image and a simulated daytime waterlogging image; and performing iterative training on the ponding image day and night bidirectional conversion architecture by using a plurality of groups of real day and night ponding images to obtain a ponding image day and night bidirectional conversion model. According to the scheme, the reflection consistency decoder is constructed to extract the reflection maps of various ponding images and calculate the reflection consistency loss, the conversion process is constrained without changing the essential attribute of the ponding area, and semantic distortion is effectively prevented.

This application discloses a vehicle driving path planning method and electronic device, relating to the field of vehicle control technology. The method includes: acquiring image data of the vehicle driving environment from at least two angles; processing the image data using a preset image processing strategy to obtain the location information of pothole regions. The preset image processing strategy processes the image data in the following order: image closing operation, image opening operation, edge detection, color segmentation, and contour detection; calculating the depth information of the pothole regions based on the image data and the location information of the pothole regions; and determining adjustment parameters for the vehicle driving path based on the location information of the pothole regions, the current vehicle speed, and the depth information of the pothole regions, thereby planning the vehicle driving path based on the adjustment parameters. This application's method achieves low-cost, high-real-time, and high-precision intelligent driving path planning in complex road environments, significantly improving vehicle driving safety and passenger comfort.

The invention relates to the technical field of data processing and artificial intelligence, in particular to a multi-source data-based energy equipment full life cycle knowledge base construction method, which comprises the following steps of: acquiring multi-source data; classifying the multi-source data according to a file format, calling a corresponding analysis model to extract text content, outputting corresponding text features and semantic content, and forming a native knowledge unit; carrying out disassembly and element processing on the native knowledge unit, and constructing a hierarchical relationship, a causal relationship and a cooperative relationship among elements in combination with a knowledge graph technology; carrying out multi-role collaborative evaluation on the generated knowledge units, and screening high-quality knowledge units by comparing a weighted comprehensive score with a preset threshold value; and classifying and integrating the screened high-quality knowledge units according to business links and application fields, and constructing a knowledge base. Through the method, the problem of cross-link information isolation in the prior art can be effectively solved, and the data management and knowledge management level of the whole process of equipment manufacturing and operation and maintenance can be improved.

The invention provides an intelligent knowledge management system and method and a storage medium. The system comprises a knowledge application module which obtains input information and pushes interested knowledge to a current user; the intelligent engine module obtains to-be-queried knowledge corresponding to the input information when the current user has the operation authority corresponding to the input information; the knowledge management module is used for carrying out classified management on knowledge entries in the knowledge graph and carrying out approval, correction and release on newly added knowledge entries; and the basic support module is used for performing authority distribution on the user and performing authority verification on the current user when receiving the query request. For scattered knowledge points in the field of power marketing, multi-source heterogeneous data are integrated, the knowledge graph is established, information input by the user is accurately understood and analyzed based on the intelligent search engine module, the user can conveniently obtain power marketing knowledge by himself / herself, and the requirement of the user for the power marketing knowledge is met.

The invention discloses a context-based Chinese intelligent error correction and text optimization system, which belongs to the technical field of natural language processing, and comprises a context semantic coding module, a multi-dimensional error detection module, a literary style perception module, a language authentic degree evaluation module and a self-adaptive error correction optimization module, the context semantic coding module realizes multi-granularity semantic coding through a hierarchical attention mechanism; the multi-dimensional error detection module is used for detecting homophone errors, similar character errors, idiom misuse and grammar errors in parallel; the literary style perception module identifies the literary style type of the text and provides targeted optimization; the language tunnel degree evaluation module evaluates the language tunnel degree and recommends alternative expressions; the self-adaptive error correction optimization module synthesizes the output of each module to generate an error correction result, and realizes closed-loop parameter optimization based on user feedback, the error correction accuracy reaches 96%, and the Chinese writing quality is effectively improved.

The utility model provides a rotatable spreadlight lens street lamp module, which comprises a light source assembly, a plurality of light-emitting units and a plurality of light-emitting units, the two opposite sides of the light source assembly are provided with a movable heat dissipation assembly and a movable polarization assembly respectively. The polarization assembly is provided with an indication assembly; the polarization assembly is located on a light emitting path of the one or more light emitting units; the polarization assembly is rotationally connected with the heat dissipation assembly; the polarized light assembly moves relative to the light source assembly after being subjected to external force, the polarized light assembly drives the indicating assembly located on the polarized light assembly to correspondingly move so as to indicate the change of the polarized light direction, the irradiation range and angle of light rays are accurately adjusted according to the actual illumination requirement, light ray waste is avoided, the light rays can more evenly cover the illumination area, and the illumination effect is improved. The problems that part of the area is too bright and part of the area is too dark due to the fixed illumination direction of a traditional street lamp are solved, so that a more comfortable illumination environment is provided, and the illumination efficiency is improved.

This invention discloses a method for fitting a 3D human body model based on 2D contour interaction and semantic segmentation. The method first parses a user-drawn 2D stick figure skeleton using a JPN module and drives an SMSLX model to generate an initial 3D human body. Then, the initial model contour is rendered from multiple fixed perspectives, generating corresponding bounding voxel spaces and point cloud projections. A prior network combining UDF and positional information is introduced to guide the training of the multi-view semantic segmentation network module UPS, achieving accurate segmentation of each part of the contour image. Based on the segmentation results and voxel point cloud projections, surface constraint point clouds for each body part are calculated. Finally, using the constraint point clouds as targets, the SMSLX model parameters are optimized for each part using a CFM module, ultimately generating a 3D human body shape that matches the user's editing intent. This invention allows users to indirectly adjust complex 3D models through intuitive 2D contour editing, significantly improving interaction efficiency and avoiding direct manipulation of complex 3D data.

The invention relates to the technical field of video compression coding, and discloses an intelligent lossless video compression optimization method and device, equipment and a medium. According to the method, initial content description of an original video stream is extracted through a visual description network, content marking points are marked, and a dynamic content topological graph is generated according to the space-time relation of the content marking points. And performing semantic aggregation on the topological graph to form a semantic aggregation unit associated with a compressed semantic tag. A candidate compression strategy is matched for each unit, an initial strategy mapping table is generated, and a final strategy mapping table is screened out according to global constraint iteration. And configuring encoder parameters according to the table to carry out lossless encoding, and collecting feedback information to adjust strategies and parameters on line. According to the method, the structured association of the video content can be deeply understood, and the dynamic closed-loop optimization of the coding strategy is realized, so that the overall efficiency and the adaptive capability of lossless video compression are improved.

The application discloses a mobile phone application performance automatic test system and method based on artificial intelligence, and relates to the technical field of electric digital data processing.The system comprises a sampling condition monitoring module, an automatic sampling adjustment module and a test feedback module.The application performs automatic test on the mobile phone application performance based on an artificial intelligence algorithm in the current test period, monitors the sampling condition of test data in real time, then determines whether to perform automatic sampling adjustment according to the result of sampling frequency adaptation determination, if yes, monitors the data noise condition of test data after automatic sampling adjustment to perform data noise degree determination, and then performs test feedback, and simultaneously determines whether to perform secondary sampling adjustment, otherwise, continues to monitor the data sampling condition, thereby improving the adaptation degree of the test condition of test data and the sampling frequency, and solving the problem of low adaptation degree of the sampling frequency and the corresponding test condition in the process of testing the mobile phone application performance in the prior art.

The present application relates to the technical field of three-dimensional reconstruction and intelligent analysis of medical images, and specifically discloses a preoperative virtual reconstruction system for thoracic surgery, which constructs a spatial graph structure with voxels as nodes and introduces respiratory motion displacement trajectories as dynamic attributes; extracts and fuses static structural features and dynamic motion features to generate context feature vectors rich in anatomical and functional information; in a serialized topological constraint segmentation module, the graph nodes are sorted according to topological geodetic distance and feature saliency, and hierarchical segmentation from trunk to periphery is realized by combining anatomical topological constraints based on a rule base and a sequence prediction model; connectivity test, fracture repair and geometric reasonableness verification are performed to output a high-quality preoperative virtual reconstruction three-dimensional model that is accurate, error-free and consistent with anatomical rules.