57results about How to "Reduce cognitive load" patented technology

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.

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 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 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.

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 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.

The invention discloses an intelligent evaluation and optimization method and system for a safety gap of a power distribution network line. The method comprises the following steps: collecting multi-source sensing data of a target operation area in real time; carrying out fusion processing on the multi-source sensing data, constructing a three-dimensional space environment model containing semantic information of an electrified body, a grounding body and an operation instrument, and extracting real-time geometric gaps among objects; performing dynamic safety risk assessment based on a pre-stored safety standard library and the real-time geometric gap; and in response to a result of the dynamic safety risk assessment, automatically planning at least one recommended operation scheme meeting dynamic safety constraints in the three-dimensional space environment model, the recommended operation scheme comprising a motion path of an operation apparatus and / or an operation mode of an operator. According to the scheme, the crossing from passive warning to active navigation is realized, and the safety, accuracy and efficiency of non-power-cut operation are fundamentally improved.

This invention provides a target-controlled assisted drug delivery system for painless surgery anesthesia, belonging to the field of medical technology. It includes: an initial protocol generation module for determining the initial drug delivery protocol based on the type of painless surgery anesthesia and the patient's basic physiological information; a trial drug delivery control module for administering trial drugs to the patient based on the initial drug delivery protocol and recording the changes in the patient's electroencephalogram (EEG) signals and physiological signs during the trial drug delivery process; a resistance analysis module for analyzing the patient's resistance to the anesthetic drug in real time based on the EEG signal changes and physiological sign changes; and a drug delivery adjustment module for adjusting the initial drug delivery protocol in real time based on the resistance level and continuing drug delivery to the patient based on the adjusted protocol and medical intervention instructions until the drug delivery is completed. This improves the target control accuracy of anesthetic drug dosage and delivery rate during painless surgery.

The present disclosure provides a vehicle trajectory guidance method and device, electronic equipment and storage medium, the method comprising: obtaining a future continuous trajectory point sequence planned for a vehicle and occupancy information of an object in front of the vehicle; traversing trajectory points in the future continuous trajectory point sequence according to a sequence from near to far to the vehicle, and calculating whether each trajectory point overlaps with the object in front of the vehicle according to the occupancy information when traversing each trajectory point; in response to detecting that a target trajectory point overlaps with the object in front of the vehicle for the first time, terminating the traversal, and generating vehicle trajectory guidance information according to the trajectory points that have been traversed before the target trajectory point; and superimposing and rendering the vehicle trajectory guidance information onto a front view image displayed on a vehicle-mounted display screen. Accordingly, the present application realizes smooth presentation of guidance information, reduces the cognitive load of the driver, and improves the intuitiveness and credibility of the guidance information display.

The invention relates to the field of digital music scores, in particular to a mixed music score generation and switching method, computer equipment and a storage medium. The method comprises: acquiring an original music score; calling a simplified score of the original music score under the current simplification degree and a corresponding finger score, and presenting the playing fingering of each note and the key position in the finger score based on a visual graph; displaying the finger score, and evaluating the first playing proficiency of the user in the current music score segment; when the first playing proficiency degree reaches a first preset threshold value, switching to display the simplified music score, and evaluating a second playing proficiency degree of the user in the current music score segment; when the second playing proficiency reaches a second preset threshold value, reducing the current simplification degree of the current music score segment, and updating the simplified score and the finger score; and when the simplification degree reaches the minimum simplification level and the second playing proficiency of the user on the simplified music score reaches the second preset threshold value, switching to display the original music score. While the initial learning threshold is reduced, the professional playing ability is gradually cultivated.

The invention relates to the technical field of computer and big data management, and discloses a data interaction method of a handheld tablet personal computer, which comprises the following steps: receiving a big data query instruction, and obtaining a high-dimensional data set; a three-dimensional point cloud is generated through graph neural network dimension reduction embedding; constructing and rendering a dynamic interactive three-dimensional topological mapping model; responding to the multi-finger gesture operation to adjust the spatial layout and the clustering structure of the data entity in real time; and dynamically calculating and visually coding the association strength between the data. The system comprises a query receiving module, a data acquisition module, a dimension reduction processing module, a model construction module, a rendering module, a gesture recognition module, an association calculation module, a visual coding module and the like. According to the method, through three-dimensional space mapping and multi-finger gesture interaction, the information density and association visibility are remarkably improved, local detail expansion, spatial memory anchor points and multi-user cooperation are supported, and efficient and visual big data exploration is achieved.

This application discloses a method, device, and electronic device for displaying power plant information, belonging to the field of new energy power plant technology. The method includes: displaying multiple display units on an interface, each unit representing a power plant; acquiring multi-dimensional factor data for each power plant, and determining the importance weight of each power plant based on the multi-dimensional factor data; determining the rendering parameters of each display unit based on the importance weight, enabling the interface to display multiple power plants in a differentiated manner; wherein the display priority of each power plant is represented by the difference in the rendering parameters of the corresponding display unit. This application enables the intuitive differentiation of the degree of attention given to different power plants in the current usage scenario, thereby improving the efficiency of users viewing power plant information.

The invention relates to the technical field of deep learning, and particularly discloses a museum exhibit deep research system fused with a multi-modal large model. The system comprises a multi-modal data aggregation module, a cross-modal semantic alignment module, a research path generation module, a dynamic argumentation construction module and a research conclusion generation module, through multi-modal data fusion, semantic alignment and intelligent path planning, an argumentation structure is automatically constructed, and a standard research conclusion is generated. The whole-process intelligent support of exhibit research is realized, and the research efficiency and systematicness are improved.

The control method applied to the batch control system provided by the embodiments of the present specification sets a corresponding graphical device selection strategy for the production node in the batch production process to describe the device selection logic in a graphical manner. Compared with the pure text or code method, the graphical presentation enables the complex logic conditions, judgment branches and execution paths to be intuitively arranged in the form of visual elements such as nodes and lines to form a flowchart, thereby reducing the cognitive load and time cost of engineers in creating, reviewing and understanding the logic and improving the efficiency from the source. In addition, during the selection of the target device, the execution state of the production node and / or the execution process of the graphical strategy are displayed, the logic calculation process of the internal decision of the system is converted into visual information flow that can be perceived by the operator in real time, the internal process that is originally invisible becomes visible, and the transparency of the execution process is realized.

The invention provides an adaptive SSMVEP-MI fusion brain-computer interface method and system based on eye movement tracking. The method comprises the following steps: determining a current effective fixation area of a user in real time through eye movement tracking; based on the region, only activating a corresponding local SSMVEP visual stimulation target, and generating associated specific motor imagery prompt information; electroencephalogram signals are synchronously collected, and SSMVEP features and MI features are extracted; self-adaptively selecting a decoding path according to whether the accumulated number of the MI effective samples with the labels reaches a threshold value or not: if not, independently decoding by using the SSMVEP features; if yes, fusion decoding based on signal quality evaluation is carried out on the bimodal features; and finally outputting a control signal to drive external equipment or update an interactive interface. According to the method, the visual interference is remarkably reduced, the recognition accuracy and the training efficiency at the initial stage of motor imagery are improved, and the robustness and the availability of the system are ensured through a dual adaptive mechanism of the sample number and the signal quality.

The invention belongs to the field of computers, and relates to a method, a system and equipment for salvaging and displaying handwriting track data of a user, and the method comprises the following steps: carrying out query processing on a log service according to a user identifier and an operation time range; generating track log data comprising a track coordinate point list, a request unique identifier, an interface path, an actual return result and an expected result; performing analysis and line drawing processing on a track coordinate point list in the track log data to generate a track diagram file; performing assembly processing on a track coordinate point list, a request unique identifier, an interface path, an actual return result, an expected result and a storage address of a track diagram file in the track log data to generate a data packet containing troubleshooting information; and carrying out integration and display processing on the data packet, and generating a rendering page used for displaying the track diagram file and the track log information. According to the invention, when the handwriting track abnormity is checked, the operation complexity is reduced, and the problem positioning efficiency is improved as much as possible.

The application discloses a clinical auxiliary decision-making method and system based on integrated time-series multi-modal data, relates to the field of medical information technology, and comprises the following steps: collecting and time-aligning time-series multi-modal clinical data of a patient, performing feature analysis and cross-modal fusion, and generating a unified multi-dimensional time-series health state feature spectrum.Based on the feature spectrum and a medical knowledge graph, a clinical state evolution model is established, the evolution distance between the current state of the patient and each key clinical event node is calculated, and then a dynamic risk assessment surface is constructed to identify a high-risk evolution path.Aiming at the high-risk path, the key feature combination is located back, corresponding intervention measure evidence chains are searched from the knowledge graph, and finally a clinical decision support report is generated.The application realizes dynamic quantitative risk assessment of disease evolution and automatic evidence-based decision recommendation.

The invention provides a cross-line text entity relationship labeling method and system based on a second-order Bezier curve, and relates to the technical field of natural language processing, and the method comprises the following steps: in response to a dragging operation initiated by a user on a source entity, determining a first anchor point from a rectangular line based on a cursor click position; in the dragging process, the first anchor point serves as a starting point, the current cursor position obtained in real time serves as a temporary terminal point, a control point is dynamically calculated, and a preview curve is drawn and updated in real time; and in response to the user ending the dragging operation, judging whether the cursor release position hits the target entity: if so, obtaining a rectangular row of the target entity, determining a second anchor point from the rectangular row of the target entity based on the cursor release position, and taking a preview curve drawn based on the first anchor point and the second anchor point as a second-order Bezier curve. The method is used for solving the technical problems that in the prior art, a real-time path updating mechanism is lacked in the dragging process, interaction feedback is delayed, and hit detection precision is insufficient.

The present application relates to the technical field of industrial water treatment and intelligent control, in particular to a metallurgical wastewater advanced treatment system, comprising a multi-source sensing module, which obtains real-time water quality and hydraulic parameters through a sensor array, and calculates heat load prediction data in combination with production plans; a digital twin engine module, which inputs data into a water quality-thermal energy coupling model, simulates the evolution of the physicochemical properties of water flow, and generates a full-network scaling risk thermodynamic map; an adaptive control module, which analyzes electromagnetic wave modulation instructions based on the thermodynamic map, and generates cascade waterway scheduling instructions; and a field execution module, which dynamically adjusts electronic scale-inhibiting equipment parameters in response to the instructions, and controls valves to reconstruct water supply paths; the present application realizes dynamic matching of water quality and thermal energy through digital twin technology, converts passive chemical cleaning into active scale inhibition by physical fields, and effectively reduces the dependence on chemical reagents.