86results about How to "Reduce cognitive load" patented technology

The embodiment of the invention belongs to the technical field of artificial intelligence, and relates to a product recommendation method and device, computer equipment and a storage medium, and the method comprises the steps: constructing a user portrait corresponding to a requesting user according to dialogue text data; performing semantic analysis operation on the dialogue text data according to a large language model to obtain a real intention of a user and a product demand index; constructing a dynamic knowledge graph according to the user portrait, the real intention of the user and the product demand index; generating a product comparison set according to the dynamic knowledge graph; and performing a comparison operation on the to-be-selected products in the product comparison set according to an iterative comparison process to obtain a target recommended product. According to the method, through deep user portrait and multi-dimensional similarity calculation, dynamic comparison set generation and progressive accurate comparison, irrelevant information is effectively filtered, the cognitive burden of the user is reduced, and the accuracy of personalized recommendation is effectively improved.

The invention discloses a model and data collaboratively driven VR panoramic fusion expression method and system, belongs to the technical field of virtual reality, and solves the problem that an existing panoramic image display mode lacks deep coupling with a geographic scene object simulation model and is difficult to accurately describe a complex geographic scene object and a time-space evolution process thereof. The method comprises the steps of performing fusion modeling on each geographic scene object and a corresponding geographic scene object in a real-world panoramic image collected in real time based on geographic scene space semantic constraints to obtain a VR panoramic fusion scene; and performing digital-analog associated enhanced expression on the VR panoramic fusion scene based on an attribute semantic information rule and the user visual region of interest to obtain a VR panoramic scene, and updating the VR panoramic scene in real time by using dynamic data. The method is used for VR panoramic fusion expression.

The invention provides a man-machine interaction method and intelligent glasses, which not only can capture interaction information of a user in real time and realize interaction with the user based on the interaction information, but also can recommend an interaction mode matched with the complexity of the content of the current display interface of the intelligent glasses to the user. The man-machine interaction method comprises the following steps: performing complexity evaluation on display content and / or a current application scene of a current display interface of the intelligent glasses to obtain a complexity level of the current display content; and determining an interaction mode corresponding to the complexity level of the current display content according to a preset corresponding relationship between the complexity level and each interaction mode, and recommending the interaction mode to a user.

The invention relates to the technical field of medical information systems, in particular to an intelligent classification treatment system and method for medical waste in an operating room, and the system comprises a waste recognition module which is used for recognizing the medical waste through a computer vision algorithm; determining a waste category based on the recognition result; the electronic guiding module is in communication connection with the waste identification module and is used for receiving the waste category information sent by the waste identification module; based on the waste category information, generating an electronic guide for guiding the medical staff to store the waste; the waste weighing and recording module is in communication connection with the electronic guiding module and is used for calculating and recording the weight and the capacity of the waste; waste weight and volume data are generated; the RFID reading module is in communication connection with the waste weighing and recording module and is used for automatically reading RFID electronic tag information; the source tracing of the waste is realized based on the RFID electronic tag information; the system can automatically complete the whole process from waste identification, classification guidance, weight recording to information tracking.

The invention discloses an instrument panel light control method and system based on risk estimation and man-machine credibility, and the method comprises the following steps: collecting and extracting the behavior information of a driver, including the state information of the eyes, hands and feet of the driver; collecting a road traffic environment image, and obtaining a driving environment and traffic event information; taking the behavior information of the driver as an input pre-constructed credibility evaluation model, and outputting a credibility evaluation value of the driver on the automatic driving system at the current moment; the current automatic driving risk is evaluated according to the driving environment and the traffic event information, and an automatic driving system risk evaluation result is obtained; and according to the credibility evaluation value of the driver at the current moment and the automatic driving risk evaluation result, the adaptation degree between the credibility and the automatic driving system risk is calculated, the threshold value interval of the adaptation degree is judged, and light prompts of different colors are correspondingly controlled according to different threshold value intervals. According to the invention, the coordination of man-machine co-driving cooperation can be optimized, and the traffic safety is improved.

The invention belongs to application of a big data analysis technology in the field of education, discloses a college student learning behavior analysis system based on big data, and aims to provide personalized learning suggestions and education decision support by analyzing online learning data of students. The system specifically comprises a data acquisition module, a data processing module, a label module, a data storage module and a portrait generation module. According to the college student learning behavior analysis system based on the big data, an objective, real and accurate student portrait label system is constructed, so that the cognitive load brought to teachers and students by a large amount of data is reduced; the student group is deeply depicted, the generated portrait is high in accuracy, and corresponding decision support is provided for student education managers, so that student academic development is assisted, repeated and tedious work caused by manual labeling is reduced, a label system is periodically updated, and automatic updating of the portrait is realized.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent interaction system and method based on legal consultation, and the system comprises a front-end user interface which supports text input, voice input and image input and has a multi-language switching function; the middle layer processing module comprises an emotion analysis module, an information integration module, a context management module and a response generation module and can dynamically adjust a processing strategy; and the rear-end legal knowledge base is used for storing laws and regulations, case analysis and common legal question answers and supporting real-time updating, version management and efficient retrieval. Through combination of a deep learning model and fine tuning of a special data set in the legal field, the system can accurately identify emotion features in user input, the accuracy not only improves the ability to understand legal terms, but also enhances the ability to process complex emotion expression, so that legal consultation is more humanized, and the efficiency is improved. The emotion change of the user can be responded in time, so that the satisfaction degree and the trust feeling of the user are improved.

The invention relates to the technical field of robots, and discloses a collision early warning method and device in robot teleoperation, and the method comprises the steps: obtaining the visual information of the working environment of a remote robot and the motion state data of an end effector; environment three-dimensional modeling is carried out based on visual information, a three-dimensional environment model containing obstacles is generated, and a virtual protection area surrounding an end effector is dynamically generated based on end speed parameters in motion state data and system communication processing time delay; wherein the spatial range of the virtual protection area is expanded along with the increase of the terminal speed and the system communication processing time delay; performing collision risk assessment on the virtual protection area and an obstacle in the three-dimensional environment model to obtain a current collision risk level; and generating early warning information based on the collision risk level, and outputting a vision enhancement image through an operator terminal to guide an operator to avoid the collision risk based on the early warning information. According to the invention, the teleoperation safety can be improved.

The embodiment of the invention discloses a configuration interaction method and device, equipment, a medium and a product, and the method comprises the steps: displaying a configuration interface for a target system, and the configuration interface comprises an instruction interaction region; in response to an interaction instruction received through the instruction interaction area, a dynamic configuration panel is displayed in the configuration interface, and the dynamic configuration panel comprises interaction configuration elements matched with the interaction instruction; and in response to a trigger operation for the interaction configuration element, displaying a visual display interface, and updating and displaying a rendering result of the target system in real time in the visual display interface so as to present a visual effect consistent with the interaction configuration element after the trigger operation. According to the technical scheme of the embodiment of the invention, efficient interaction of instruction-on-demand configuration element display-real-time feedback is constructed, and the accuracy and efficiency of configuration interaction are improved.

The invention relates to the technical field of learning education, and particularly discloses an exercise error cognition dimension analysis system and method, and the system comprises an error analysis module, a data analysis module, an exercise library management module, a learning resource module, and a user management module. The error recognition module is used for recognizing the source and type of error recognition, the data analysis module is used for summarizing and analyzing learning data of a user and providing decision support for teachers, and the exercise library management module is responsible for managing exercises in the system and the answering training process of the user; according to the method, plane geometry knowledge is decomposed into a plurality of stage targets, a user is gradually guided to master basic knowledge and skills, the cognitive load of students is reduced, the feeling of contusion caused by too large difficulty is reduced, the user is driven to think and master a knowledge point solving method through targeted exercise training and instant feedback, the logical reasoning ability of the students is cultivated, and the learning efficiency of the students is improved. And geometric proving can be independently carried out.

This invention relates to the field of water storage tank operation and management technology, and particularly to an interactive control method and system for urban water storage tank operation and management. The method includes the following steps: acquiring the geometric structural parameters of the water storage tank; setting dynamic boundary parameters based on the geometric structural parameters; wherein the dynamic boundary parameters include a safe water storage upper limit, a recommended emptying water level, and a forced emptying water level; constructing a three-dimensional interactive visual interface containing spatiotemporal constraints based on the dynamic boundary parameters; and performing virtual execution verification in response to the input of interactive operating condition switching commands on the three-dimensional interactive visual interface. Once the virtual execution verification is successful, the equipment linkage pre-simulation sequence is converted into control commands and issued to realize the operation and management of the urban water storage tank. This invention, by constructing a three-dimensional water level dynamic boundary mapping and equipment linkage virtual pre-simulation mechanism, achieves intuitive perception of operating condition switching and water hammer safety verification, thereby solving the problems of difficulty in judging operation timing and the potential for misoperation.

The invention relates to the technical field of smart tourism, in particular to a personalized scenic spot content generation method, system and device based on a multi-modal knowledge graph and a medium, and the method comprises the steps: collecting multi-modal data of a scenic spot, and constructing a structured multi-modal scenic spot knowledge graph based on the multi-modal data; obtaining personalized data provided by the tourist, and constructing a personalized portrait of the tourist based on the personalized data; in response to an operation of acquiring an image in a scenic spot, identifying the scenery in the image, and extracting a corresponding initial knowledge subset from the multi-modal scenic spot knowledge graph according to an identification result; performing personalized screening and expansion on the knowledge nodes in the initial knowledge subset by calculating the matching degree between the knowledge nodes in the initial knowledge subset and the tourist interest in the personalized portrait of the tourist, and dynamically binding multi-modal resources to generate a personalized knowledge graph; and presenting the personalized knowledge graph. According to the invention, the multi-mode scenic spot knowledge experience of which the structure is matched with the interest and the knowledge background can be provided for tourists.

This application discloses a method, device, and electronic device for displaying energy flow in a power plant, belonging to the field of new energy power plant technology. The method includes: generating an energy flow diagram corresponding to the current power plant configuration and displaying it on an interface; the energy flow diagram includes multiple visual elements, each visual element including at least source nodes and carrier nodes representing power plant equipment, and path elements representing the energy flow relationship between source nodes and carrier nodes; responding to user interaction with any node or path element, determining the energy path where the interacted node or path element is located; updating the rendering state of the energy path on the interface to make the energy path appear locally focused relative to other energy paths. This application achieves energy path-level visualization and interactive analysis based on power plant equipment topology, improving the accuracy of expressing power plant energy flow relationships and the efficiency of analyzing multi-dimensional operational data.

The invention provides a method for deploying a plant-level alarm system, which comprises the following steps that: a whole-plant-level plant model is constructed according to a plant department architecture or a business object node, the plant model comprises a plurality of levels, each level at least comprises one sub-model, and the sub-models of different levels have a mapping relationship; importing instrument equipment data and binding the instrument equipment data to the corresponding sub-models; newly establishing instrument position numbers and binding the instrument position numbers to the corresponding sub-models and instrument equipment, wherein the instrument position numbers and the collector position numbers are in one-to-one correspondence; and configuring an alarm platform based on the configuration, establishing a whole plant appearance map, and binding each component with a corresponding sub-model, instrument equipment and an instrument position number. According to the technical scheme, by establishing a core concept of'factory equipment objects', alarm information of a plurality of'instrument position numbers' bound with the'factory equipment objects' is aggregated upwards, so that the equipment becomes a comprehensive alarm state indicator, and an operator can quickly master the overall operation health condition of the equipment from a macroscopic level.

The present application provides a wireless internal heat needle control method and system with integrated heating and nerve stimulation functions, which relates to the field of medical equipment technology. The present application obtains the insertion position information of multiple internal heat needles through a control terminal and generates a relative position image, providing an intuitive visualization interface for the operator, so that the operator can accurately grasp the spatial distribution of each internal heat needle in the patient's body. This visualization method effectively reduces the cognitive burden of the operator in multi-needle treatment and improves the accuracy of the operation. The control terminal responds to the first instruction input by the operator to determine the target internal heat needle and its corresponding output parameters. This interactive operation method not only retains the professional judgment of the operator, but also reduces the possibility of human error through systematic parameter settings. The control terminal wirelessly sends the output parameters to the target internal heat needle, realizes remote and precise control of the internal heat needle, and can reduce the risk of operator error in operating the internal heat needle.

The application relates to an invasive brain-computer interface surgical robot system and relates to the technical field of implantable brain-computer interfaces, which comprises a flexible electrode assembly, a multi-needle implant unit, a synchronous positioning driving unit and an implant planning control unit; the flexible electrode assembly comprises a plurality of flexible electrode wires; the multi-needle implant unit comprises a female needle and a plurality of male needles, and the plurality of male needles are connected with the plurality of flexible electrode wires respectively; the synchronous positioning driving unit comprises an open guide rail and a plurality of driving modules, the plurality of driving modules are arranged on the open guide rail, the open end of the open guide rail provides an avoiding space, and each driving module carries a group of multi-needle implant units; the implant planning control unit is communicatively coupled with the synchronous positioning driving unit, is used for planning a plurality of implant target points, and controls the action of the synchronous positioning driving unit. The application is favorable for realizing efficient and accurate implantation and visualized evaluation of high-throughput flexible electrodes, and significantly improves the efficiency, accuracy and safety of the invasive brain-computer interface surgery.

This application discloses a human-computer interactive active data annotation method based on expected reliability changes. It introduces a local density factor based on nearest neighbor search to identify and eliminate isolated noise samples after calculating the expected reliability change. Simultaneously, by orthogonally projecting candidate features onto the subspace spanned by selected samples, it accurately quantifies the diversity of samples relative to historical data using the residual modulus, thereby achieving a weighted correction of the original reliability score. This approach ensures high information gain for samples while considering their representative distribution in the feature space, fundamentally solving the model's identification bias for high-confidence difficult examples. It effectively avoids interference from blurry, damaged, or other invalid images, significantly reduces the cognitive burden of expert annotation, and enables the model to accurately cover the core long-tail distribution, greatly improving the algorithm's robustness and generalization performance under limited annotation budgets.

This invention discloses a method for constructing a dataset through multimodal data fusion and extraction in the field of solid waste disposal. The method includes: first, converting the original document into a sequence of multimodal objects; second, constructing a document-level context index and entity knowledge base, extracting entity relationships, and constructing a global knowledge base and index; next, using the global knowledge base and index, performing semantic classification and dynamic routing on the multimodal object sequence, performing multimodal divide-and-conquer extraction by assembling contextual information packets, and outputting discrete record fragments; finally, generating feature identifiers based on experimental conditions, reconstructing cross-modal data through a confidence priority mechanism, and generating a standard dataset. This invention effectively solves the attention drift and task confusion problems when large language models process complex long documents, overcomes the challenge of entity referencing resolution in cross-paragraph contexts, and overcomes the difficulties of information incompleteness and alignment in multimodal table and image data, significantly improving the quality of dataset construction.

The application provides an electronic chart system, method and equipment with water depth change prediction capability, relates to the technical field of marine electronic information technology and marine geographic information, and the system comprises a data acquisition module, a water depth change analysis and prediction module and a risk visualization module. The application superimposes and displays predictive water depth risk information in a standard ECDIS interface through the fusion of official electronic chart data and a dynamic water depth model, so that the existing operation process of the driver can be changed, and enhanced navigation support reflecting the recent seabed change trend can be provided in the case that the chart updating cycle is long.

The invention relates to the field of document processing, and discloses a new interaction method for document shortcut operation, which comprises the following steps of: switching documents; a gesture input button is clicked, an input gesture list view is displayed, and after an'adding 'button is clicked, a user enters a gesture adding view; matching recognition is carried out by introducing an intelligent algorithm through an input gesture and a gesture pattern drawn by a user in a current gesture recognition area, a corresponding gesture function is triggered if a matching result is obtained, and a current interaction page is exited after clicking to exit; quickly browsing the page; according to the new interaction method for the document shortcut operation, a wheel disc interaction area and a redoing and redoing area are adopted, a user is allowed to execute complex document editing operation through natural and visual gestures through a gesture recognition technology, and dependence on traditional button clicking is reduced. The interaction mode not only improves the operation speed, but also reduces the cognitive burden of the user when the user uses the document processing software.

The invention discloses an access control method and device, equipment and a storage medium, and belongs to the technical field of network management and control. The method comprises the following steps: in response to a received access control demand, configuring an XML file based on the access control demand; and an automatic generation engine is adopted to analyze the XML file, and SELinux configuration is generated. According to the method and the device, the error risk and the labor cost caused by manual intervention are reduced while the MAC precision is kept, operation and maintenance personnel can be assisted to efficiently and accurately complete SELinux strategy deployment, the system safety is improved, and the technical problems that in the prior art, after a network management system starts SELinux, the control configuration complexity is high, and operation is prone to errors are solved.

The invention discloses a visual characterization method for Hash mapping code peculiar smell to a 3D space, and relates to the field of software engineering. According to the method, accurate, unique and quality-associated characterization from code elements to a 3D space is realized through an algorithm link of associated code quality indexes, and the problems that traditional 2D visualization information is overloaded, 3D visualization has no quality association and calculation is complex are solved. According to the algorithm, code quality indexes serve as input, 3D space positions and visual attributes are output through calculation processing, and the real-time characterization requirements of a large-scale code library are met.

This invention provides a driving strategy AR prompting method and device based on console action sequences. It collects driver operation action data in real time; extracts features from the operation action data to obtain operation features; matches the operation features with a predefined intent pattern library using a driving intent recognition model to obtain the current driving operation intent; acquires multiple types of current train operation data in real time; and fuses different types of operation data to obtain comprehensive contextual information; performs matching analysis based on the current driving operation intent and comprehensive contextual information to obtain analysis results; and provides AR prompts based on the analysis results. This invention understands human operation logic through a driving intent recognition model; understands operation intent through deep learning; and provides optimal strategies through real-time calculation and analysis; thus achieving a shift from passive alarms to proactive intelligent guidance, improving driving safety and operational accuracy.

This application provides a business optimization method, apparatus, device, medium, and program product, which can be applied to the field of artificial intelligence technology, involving the application of large models in fintech scenarios. The method is executed by a management server, which communicates with a terminal device. The method includes: receiving queuing information sent by the terminal device; sending a first input interface to the terminal device based on the queuing information; in response to receiving a candidate business type input through the first input interface, determining the current queuing state corresponding to the candidate business type, generating queuing information corresponding to the current queuing state, and sending it to the terminal device; sending a second input interface to the terminal device; and in response to receiving a target business type input through the second input interface, using a preset time estimation model based on the target business type and queuing information to estimate the expected waiting time for the user on the terminal device and sending it to the terminal device.

The embodiment of the application provides a commissioning and rollback method and system for a communication system configuration, comprising: loading a current effective configuration in a front-end workstation, generating an incremental snapshot in response to an input incremental change instruction; generating a virtual production configuration based on the incremental snapshot and the current effective configuration; generating and outputting a trajectory log based on the virtual production configuration and simulation input parameters; performing configuration mapping on the trajectory log to obtain configuration rule hit information; performing commissioning and pre-checking based on the configuration rule hit information, generating and outputting risk information; generating a commissioning passing instruction through the risk information, and submitting the incremental snapshot to a back-end; when detecting that abnormal information appears in a database transaction, performing a reverse patch to realize atomic rollback; and connecting each incremental change instruction and the reverse patch to a configuration version tree to preview the configuration of any historical node. The method realizes atomic submission and accurate rollback, and can quickly restore the system to an accurate state before the change.

The invention discloses an instrument tracking method for surgical navigation, and belongs to the technical field of surgical navigation, and the method comprises the following steps: S1, data collection and preprocessing: collecting surgical instrument image data, storing the surgical instrument image data as a unified local file in a structured manner, and preprocessing the data; s2, performing data annotation and data enhancement, and performing data annotation on a data set obtained after preprocessing by using an image annotation tool LabelImg; s3, constructing a detection model, wherein the constructed model comprises an input end, a backbone network, a neck network and a prediction network; s4, training a detection model; s5, surgical instrument detection; s6, surgical instrument tracking; and S7, surgical path planning. By adopting the instrument tracking method for surgical navigation, the real-time performance, the accuracy and the robustness of surgical instrument detection can be improved, and the instrument tracking method has an important effect on the development of surgical robots.

A multi-dimensional time series data dynamic evolution analysis method, device, medium and electronic equipment, the method comprises the steps of: obtaining and structuring pre-processing time series data; each of the time series data is quantified and attributed in multiple dimensions, and a three-dimensional data node containing spatial coordinates, initial weight and timestamp is constructed; based on the set of three-dimensional data nodes in a specific time window, a three-dimensional data density field is constructed which can represent the data hotspot distribution and intensity in the time window; in the three-dimensional data density field, the density peak area is identified as the core data cluster, and the cluster quality is calculated according to its density and coverage, and the association strength between different core data clusters is calculated; the sequence of the state snapshots of the continuous multiple time window data fields is serialized to form a dynamic evolution view which can show the birth and death of data hotspots, the fusion and splitting process of data clusters. The abstract multi-dimensional data is converted into intuitive three-dimensional density field.

The invention provides a tower crane control method capable of realizing adaptive view angle direction change. The tower crane control method comprises the following steps: establishing a unified coordinate system based on sensor and GPS differential positioning; determining advancing, retreating, leftward and rightward directions of the lifting hook according to the position of a ground operator; the forward, backward, leftward and rightward movement directions are decomposed into the movement direction of the luffing mechanism and the movement direction of the rotating mechanism; calculating the speed of a luffing mechanism and the speed of a rotating mechanism after decomposition; and transmitting the speed of the luffing mechanism and the speed of the rotating mechanism to motor motion control equipment. According to the invention, ground personnel can more intuitively control the movement direction of the lifting hook of the tower crane conveniently, and the non-intuitiveness that the ground personnel need to control the movement of the lifting hook in the view angle direction of a tower crane driver is avoided.

The invention relates to an AR auxiliary and scene sensing system for man-machine cooperation power battery disassembly. The AR auxiliary and scene sensing system comprises a scene sensing module and an AR auxiliary man-machine cooperation disassembly module. The scene sensing module comprises an instance segmentation model, a posture recognition model and an action recognition model; inputting human body action behaviors and scene information videos in the power battery disassembly scene into an instance segmentation model, a posture recognition model and an action recognition model at the same time, wherein the instance segmentation model, the posture recognition model and the action recognition model independently process the received videos; the processing results of the instance segmentation model, the posture recognition model and the action recognition model are input into the AR-assisted man-machine cooperation disassembly module, and the AR-assisted man-machine cooperation disassembly module performs analogue simulation on the man-machine cooperation disassembly process by using the AR technology according to the received information, so that disassembly information visualization and man-machine safety distance judgment are realized. According to the invention, efficient and safe man-machine cooperation power battery disassembly is realized.

The application provides an interactive quality guarantee method for improving the reliability of large language model question and answer, relates to the technical field of large language model question and answer, and comprises the following steps: in response to an initial natural language inquiry, a guiding question is generated and output, initial medical semantic weights are given to each structured field in the preliminary medical description, and in response to an intervention instruction, a weight-adjustable enhanced medical description is generated; the subject reference relationship in the current interaction sequence is identified in real time, the context data generated by the interaction is subject label calibrated and logically isolated based on the identification result, so that a structured conversation context with subject consistency is constructed; the enhanced medical description in the structured conversation context is scored for integrity and logically consistent; when the verification is passed, the enhanced medical description, the corresponding weight information and the related constraint strategy retrieved from the medical constraint strategy library are collectively encapsulated as a structured prompt word, which is input into a large language model to obtain a medical question and answer result.