31results about How to "Realization space" patented technology

This invention discloses an in-situ lunar regolith thermal energy storage and controllable utilization device, relating to the field of lunar surface thermal energy storage technology. The invention includes: a lunar regolith thermal storage body, formed by high-temperature melting of in-situ lunar regolith for storing thermal energy; a heat spreader plate, disposed on the lower surface of the lunar regolith thermal storage body, serving as a channel for energy exchange between the lunar regolith thermal storage body and the outside; and a heat expansion component, fixedly connected to the heat spreader plate, used to improve the heating efficiency of the lunar regolith thermal storage body during the heating process. This invention achieves efficient storage of solar energy and redundant electrical energy during lunar daytime by combining the lunar regolith thermal storage body with a high-efficiency heat expansion component, and achieves stable energy release and cascaded utilization through a controllable heat release component, thereby realizing peak shifting and valley filling of lunar surface energy in both time and space dimensions.

This invention relates to the field of biodiversity monitoring technology and discloses a monitoring and alarm device for rare and endangered aquatic organisms based on environmental DNA. The device includes a sampling and enrichment unit, a nucleic acid in-situ extraction and purification unit, a isothermal fluorescence detection unit, an environmental factor monitoring unit, a main control and data transmission unit, a power supply and protection unit, and a remote alarm and control platform. The main control and data transmission unit obtains the pressure change rate based on the digital pressure signal output by the microcomputer-controlled pressure sensor, extracts the high-precision peristaltic pump operating time parameter to calculate the actual filtration volume, and performs a division operation to obtain the environmental DNA calibration concentration. It then calculates the dynamic transmission power value by combining the network signal strength indicator value and transmits the complete communication data packet. The remote alarm and control platform obtains a risk index based on the environmental DNA calibration concentration, maps the spatial coordinate signal to an electronic map module to generate coordinate nodes, and displays the risk index and digital environmental parameters in association.

The utility model provides a kind of integrated compartment house's advertisement and ventilation guide board belongs to advertising field, including mounting plate, the side of mounting plate is provided with folding support assembly, the side of folding support assembly is provided with ventilation component;The folding support assembly includes the first plate hinged to the side of mounting plate, the first plate one end is hinged with second plate, and the second plate one end is hinged with mounting bracket, the utility model will guide board be converted into integrated air treatment terminal, the directional introduction of external air is realized by external fresh air source, and efficient purification is completed in equipment inside, finally clean airflow is accurately released to guide board peripheral area, this design directly aims at the problem of hypoxia, stuffy of people flow dense closed space such as integrated compartment house, while providing guide service, actively improve local micro-environment air quality, significantly improve visitor's comfort.

The invention relates to the technical field of machine vision detection, in particular to an inner package detection and recognition method based on vision detection, which comprises the following steps: synchronously acquiring a multi-view image sequence of a to-be-detected piece through an annularly arranged acquisition device; independently analyzing each image, and generating an initial defect area mask and a local feature descriptor; a three-dimensional defect space distribution model is constructed by fusing multi-view masks, and geometric topology and depth information of the three-dimensional defect space distribution model are extracted to form a comprehensive feature vector. And performing cross-modal correlation analysis on the local features and the three-dimensional comprehensive features to generate an enhanced defect feature spectrum. And calling a pre-training classification model to analyze the atlas, outputting an inner package type, a defect type and a severity level, and generating a quality evaluation report and a processing instruction according to the inner package type, the defect type and the severity level. According to the method, three-dimensional space accurate positioning and multi-feature deep fusion of the defects are realized, and the recognition accuracy and evaluation comprehensiveness of the complex defects are improved.

The invention discloses an evaluation method for farmland carbon sink datum line measurement and extra argumentation, and relates to the technical field of agricultural environment monitoring management, and the method comprises the steps: building a regional attribute knowledge graph based on the multi-source heterogeneous data of a target farmland region, including soil, climate and crop rotation history; a carbon sequestration potential model is trained in combination with a knowledge graph and a reinforcement learning algorithm, and a farmland carbon sink datum line with regional adaptability is generated; and deploying an intelligent sensing system and an edge computing device in the target farmland area. According to the method, the dynamically updated regional attribute knowledge graph is constructed by fusing multi-source heterogeneous data, multi-dimensional information such as soil, climate, crop rotation and management records is effectively integrated, a structured farmland ecosystem knowledge base is formed, incremental updating can be automatically triggered according to real-time monitoring data and external events, and the real-time monitoring effect of the farmland ecosystem knowledge base is improved. And it is ensured that the datum line modeling and evaluation process is always based on the latest area state.

The application discloses a kind of cable curvature risk assessment method, device, equipment and medium, belong to the risk assessment field of cable curvature.The method is: obtaining the visible image of the cable to be measured and extracting two-dimensional contour data;The cable to be measured is scanned non-contact, and three-dimensional point cloud data is obtained;Two-dimensional contour data is mapped to the three-dimensional coordinate system in which three-dimensional point cloud data is located, to obtain the three-dimensional point set after fusion, and least square method is used to fit spline curve;Finally, the risk assessment of the spline curve is carried out, and the risk assessment result of the cable to be measured is obtained.Therefore, by implementing the present application, the problem of low accuracy of cable curvature risk assessment in the prior art can be solved.

The invention relates to an intelligent replacement method for a short play video advertisement article, which relates to a video fusion technology, and comprises the following steps: carrying out multi-frame dynamic image acquisition and advertisement area three-dimensional space information extraction on a to-be-processed short play video, and establishing a physical attribute inversion and dynamic physical attribute field model; rendering parameter fitting and standardized input are carried out on the advertisement three-dimensional model according to physical parameters such as dynamic illumination, materials and roughness of an original scene, a three-dimensional space self-adaptive physical rendering engine is driven, and synchronous physical reconstruction of advertisement content and continuous frame scene illumination and material changes is achieved. In combination with multi-foreground-layer dynamic shielding and space superposition, in cooperation with the steps of boundary adaptive hybrid rendering, time sequence image quality optimization and the like, the advertisement content can be dynamically and accurately transformed according to the environment and the foreground, and finally high consistency and seamless natural fusion of the advertisement and the movie video content in physical attribute and visual perception are achieved.

The invention discloses an ultrahigh nickel ternary positive electrode material mixing equipment control parameter optimization method and system, and the method comprises the steps: arranging multi-mode sensors on stirring blades and the inner wall of equipment, obtaining temperature, humidity and vibration acoustic data, building a basic field and a motion field in a finite element model, and carrying out the optimization of the control parameters of the ultrahigh nickel ternary positive electrode material mixing equipment; spatio-temporal joint estimation of the three key distributions in the mixing process is achieved, and a mixing state field reflecting the actual mixing behavior is obtained. And based on the mixing state field, dividing the equipment space into a strong flow area, a middle flow area and a weak flow area, and outputting the mixing quality risk through a pre-trained Bayesian network in combination with the fluidity index, the volume ratio and the stirring load characteristics of each distribution. And then, a particle swarm algorithm with an intelligent agent training mechanism is adopted, a historical control record is utilized to learn an influence rule of control parameters on the three distributions, a control parameter sequence of a future control window is generated, a sequence which enables a quality risk decrease value to be maximum is selected as a current optimal control strategy, and rolling optimization of the mixing equipment is realized.

A method for determining the association and continuity combination of top-side-rock structural surfaces based on unsupervised learning is proposed. This method involves investigating the structural surfaces of the roof and side-rock masses in underground engineering projects to obtain geometric and statistical information. A unified encoding is performed to construct a joint feature set of roof-side-rock structural surfaces. An unsupervised density-based clustering algorithm is used for initial cluster analysis of the joint feature set. A swarm intelligence-based Lüperfox optimization algorithm is introduced to optimize key parameters of the DBSCAN clustering algorithm. A Latin hypercube sampling method is used to improve the population initialization process of the Lüperfox optimization algorithm, resulting in better DBSCAN hyperparameters and optimized structural surface clustering results. The method determines the structural surface system affiliation of structural surfaces in different locations, quantitatively calculates the spatial continuity and combination relationship of structural surfaces, and outputs the spatial association determination results and continuity levels of the roof-side-rock structural surfaces. This method enables intelligent identification and quantitative analysis of the spatial relationship between roof and side-rock rock structural surfaces.

The present application belongs to the technical field of coal mine broken coal and rock mass grouting reinforcement, and particularly relates to a mine double-order grouting material system based on an opposite charge interface directional mineralization, which comprises an interface activation precursor liquid A and a micro-nano inorganic main grout liquid B that are independently packed and injected in sequence when used; the interface activation precursor liquid A is composed of a cationic inorganic nano sol and water, the cationic inorganic nano sol is at least one of boehmite sol and aluminum oxide sol, and the zeta potential of the interface activation precursor liquid A is +15mV to +50mV at 20 DEG C and an actual construction concentration; the micro-nano inorganic main grout liquid B is composed of superfine cement, active mineral admixture, anionic silica sol, inorganic dispersant and water, and the zeta potential of the micro-nano inorganic main grout liquid B is -10mV to -45mV at 20 DEG C and an actual construction concentration; the interface activation precursor liquid A is injected first during construction, so that it is adsorbed on the coal and rock fissure wall to form a positive electric interface activation layer, and then the micro-nano inorganic main grout liquid B is injected, and aggregation and solidification occur at the positive electric interface activation layer.

The invention discloses a multi-dimensional state sensing and intelligent operation and maintenance decision-making method and system for a power distribution network, and relates to the technical field of intelligent monitoring and operation and maintenance of a power system. The voltage waveform, the current jump and the power reflexed change at the moment of disconnection and reconnection of the high-power equipment are continuously recorded through high-frequency sampling, so that energy mutation fingerprints are formed. According to the method, by constructing a transient energy tracing band and an energy mutation fingerprint, millisecond-level sensing and accurate recognition of the sudden return process of the high-power equipment are achieved, an energy convergence judgment band and an antagonism threshold window are established, energy propagation is actively suppressed at the sudden return moment, and current impact is slowly released; the energy distribution of the power distribution network is controlled, the node voltage is stable, and the operation safety and the response reliability are improved.

The invention provides a degradable antibacterial bioactive interface screw and a manufacturing method thereof. The interface screw comprises a screw shell, a head part, a rod part with external threads and a tail part are sequentially arranged in the axial direction of the screw shell, and the tail part is of a conical structure; an inner core penetrating through the rod part is arranged in the screw shell, the inner core is of a network-shaped porous structure, and a release hole channel communicating with the inner core is formed in the outer surface of the rod part; the inner core is filled with an antibacterial functional body, the antibacterial functional body comprises gallium-silver composite antibacterial particles, and the gallium-silver composite antibacterial particles are released into the external environment of the screw shell through the release hole channels. According to the technical scheme, the interface screw can promote bone-ligament interface healing, controllable release of antibacterial components is achieved, the structure can be flexibly adjusted through a digital model, and the interface screw is suitable for personalized ligament reconstruction operations.

The invention relates to the field of intelligent wearable devices, and discloses a dimmable dice wearable device which comprises a dice shell, a main control circuit board is arranged in an inner cavity of the dice shell, and a central processing unit, an LED dot matrix module, a near-field induction unit, a wireless communication unit, an audio conversion unit and an electric power storage unit are integrated on the main control circuit board; the central processing unit is connected with the LED dot matrix module, the near-field induction unit, the wireless communication unit, the audio conversion unit and the power storage unit through an electrical loop. Through cooperation of the integrated LED display module and the light guide composite material shell, dynamic and digital adjustment of the wearable device is realized, and the wearable device integrates LED, audio playing, communication and user interaction functions. Different LED colors can be switched and corresponding audios can be played according to the emotion of a user, and meanwhile, emotion data can be transmitted and received through wireless communication.

This invention relates to the field of automated litchi harvesting technology, specifically a high-low staggered harvesting device and method for harvesting litchi from the entire tree canopy. The device includes a walking mechanism, a high-low staggered double robotic arm, a flexible clamping mechanism, a curved guide rail mechanism, a shearing device, a control device, and an identification device. The identification device and shearing device are mounted on the robotic arms. The low-position 6-DOF robotic arm is mounted on the slide of the curved guide rail mechanism. The high-position 3-DOF robotic arm consists of three linear motion modules along the X, Y, and Z axes. The flexible clamping mechanism is placed on the X-axis linear motion mechanism, which is placed on the Y-axis linear motion mechanism, and the Y-axis linear motion mechanism is placed on the Z-axis linear motion mechanism. The Z-axis linear motion mechanism, control device, and curved guide rail mechanism are mounted on the walking mechanism. This invention can cover the entire litchi canopy for fruit harvesting, is suitable for harvesting in high-branch scenarios, and significantly improves the efficiency of litchi harvesting.

This invention discloses a BEV (Bird's Eye View) visual fusion method and system for intelligent inland waterway monitoring. The method includes: generating a BEV using shore-based camera calibration and inverse perspective mapping (IPM); projecting electronic chart (ENC) data onto the same plane coordinates and performing online calibration using shoreline, fixed navigation marks, and other elements as references to suppress scale deviations caused by extrinsic parameter drift and water level changes; performing time alignment and forward extrapolation based on historical changes on Automatic Identification Information (AIS) data; combining this with vessel targets detected in the BEV view; using a matching range that automatically adjusts according to the scene to achieve spatiotemporal correspondence; and performing consistency checks based on the waterway centerline and navigation boundaries; and explicitly marking and alerting targets that do not correspond or exhibit anomalies. The method and system can operate in real-time on shore, enabling unified display and reliable identification of multi-source data. It effectively reduces mismatches and missed detections under conditions of dense vessel traffic, AIS message delays, and obstruction, improving the accuracy and availability of waterway traffic monitoring. The attached figure is a schematic diagram of the method flow of this invention.

The application relates to the technical field of vehicle-mounted intelligent voice interaction, and discloses a cabin multi-sound-zone voice interaction method based on microphone array blind source separation and directional sound pickup. The application aims to solve the problems that the existing vehicle-mounted voice interaction system causes voice distortion due to mixed multiple sound sources in a complex acoustic environment, and causes cross-sound-zone crosstalk due to inaccurate speaker positioning. The application synchronously collects mixed audio through a hardware clock, and offsets and cancels audio interference, uses a blind source separation algorithm to demix the audio stream into a preliminary split channel corresponding to the position of a passenger, then targets to extract pure single-person speech in combination with a spatial positioning and beamforming technology, and cleans up reverberation and noise, finally converts the voice into a control instruction bound to a specific seat number, and executes after safety authentication. The application effectively eliminates cabin background noise and non-target passenger interference, and improves the accuracy of multi-sound-zone interaction instruction analysis and the safety of physical control.

This invention relates to a negative electrode current collector with a composite aperture array, its preparation method, and its application. The negative electrode current collector includes a copper foil substrate on which a composite aperture array structure is provided. The composite aperture array structure includes multiple through holes and multiple blind holes. The through holes are arranged through the thickness direction of the copper foil substrate to provide lithium ion transport channels. The blind holes are arranged along the thickness direction of the copper foil substrate and are closed at the bottom to provide nucleation sites for lithium deposition and buffer space for volume expansion. The through holes and blind holes are alternately distributed according to a preset arrangement rule. In any local area, at least one through hole and multiple blind holes constitute a combined unit to form a current density difference distribution on the surface of the copper foil substrate and guide lithium deposition. The preset arrangement rule includes: the through holes and blind holes are arranged periodically in a plane according to the combined units. The combined unit includes at least one through hole located at the center and multiple blind holes arranged in a ring around the through hole.

This invention discloses a method and system for assessing the risk of black soil erosion based on erosion and degradation, belonging to the field of black soil erosion assessment technology. The method includes acquiring high-resolution soil structure tomography images of the target black soil region, long-term climate and hydrological time-series data, digital models of surface micro-topography, and historical land use change vector maps. The soil structure tomography images are analyzed for pore connectivity, and the soil aggregate destruction index and vertical fracture development density are extracted. Effective rainfall erosivity factors and seasonal freeze-thaw cycle intensity factors are calculated, and surface disturbance intensity layers are generated by fusing micro-topography and land use change data. Multiple parameters are input into a coupled model of the black soil erosion process, and erosion and degradation risk distribution maps under different future scenarios are generated through spatial iterative calculations. This method refines the characterization of black soil microstructure and surface composite disturbance features, improving the precision and scenario adaptability of black soil erosion risk assessment.

The utility model relates to a power distribution cabinet technical field, specifically disclose a kind of assembling connection structure and power distribution cabinet of low voltage power distribution cabinet, wherein, the assembling connection structure of low voltage power distribution cabinet, comprising: first cabinet base frame, second cabinet base frame, side baffle and middle baffle;The assembling connection structure of the low voltage power distribution cabinet compared with prior art is connected two cabinet bodies by adding side baffle and middle baffle assembling, so that cabinet body shares support connection structure, makes multiple low voltage power distribution cabinet compact splicing, reduces overall floor area, avoids component repeated manufacturing, to optimize space utilization and material cost, while enhanced structural stability, solve the problem that the existing multiple independent cabinet needs to be placed and manufactured alone, occupies more space and component repetition leads to material waste.

The present application relates to a kind of port ship unloading area analysis method based on AIS data, comprising the following steps: first, AIS data preprocessing-washing and screening of original data and attribute supplementing;Second, ship stay voyage section extraction-define stay voyage section using motion characteristics and express using Geohash grid;Third, port destination text matching-irregular destination is matched with standard port name;Fourth, destination bidirectional search-accurately destination is analyzed using ship trajectory, and the attribution port of stay grid is determined;Fifth, grid integration and route cutting-integrate grid of different port attribution to obtain unloading area and cut ship full cycle route.The present application solves the problem that unloading mode is complex around port, and route is complex, utilizes the complementary advantage of space-time information and destination text in AIS data, and provides reliable technical support for the trade monitoring of bulk energy goods such as crude oil.

The present application belongs to the field of sewage treatment, and provides a chemical industry park groundwater pollution tracing method based on geophysical exploration cooperation, which uses geophysical methods to detect target areas in the chemical industry park, and obtains underground electrical parameter data; based on the spatial form characteristics and physical parameter gradient change law of the resistivity anomaly area, a layout scheme of groundwater chemical sampling target points is determined; groundwater samples are collected according to the layout scheme, and chemical detection analysis is performed; the pollutant data obtained by the chemical detection analysis is subjected to spatial position corresponding and correlation analysis with the resistivity three-dimensional model; the pollutant concentration spatial distribution map, the park enterprise layout and the regional hydrogeological conditions are comprehensively considered to identify the pollutant migration path, lock the pollution source and output the pollution tracing result. The method improves the accuracy of pollution tracing.

The invention discloses a pointing object text positioning method based on iterative semantic visual association. The method comprises the following steps: acquiring a document image containing a pointing object and a natural language instruction; visual and language features are extracted, a pointing object bounding box is predicted, and a pointing mask is generated to extract pointing context features; the pointing context features and instruction semantics are spliced to generate a channel scaling coefficient, and space and channel modulation is performed on the visual features; using instruction semantics to generate FiLM parameters to modulate the enhanced visual features, and predicting an initial target bounding box through cross-modal attention fusion features; and starting an iterative refinement process, generating a target mask according to the current prediction frame and calculating a semantic-visual consistency score, modulating fusion features in combination with geometric difference and semantic information to predict a better bounding box, and outputting a result with the highest score after iteration is performed until a termination condition is met. According to the method, fine-grained spatial semantic understanding and high-precision iterative positioning capabilities are enhanced.

The application provides a steel pipe spraying pretreatment device, and relates to the technical field of steel pipe processing. The device comprises a base, a first mounting plate fixedly arranged on the base, and a second mounting plate slidingly arranged on the base. A third mounting plate is hingedly arranged on the first mounting plate. A first driving assembly for driving the third mounting plate to tilt and lift is arranged on the first mounting plate. A polishing assembly for polishing the steel pipe is arranged on the third mounting plate. An installation cylinder is rotatably arranged on the second mounting plate through a bearing. A second driving assembly for driving the installation cylinder to rotate is arranged on the second mounting plate. A clamping assembly for clamping the steel pipe is arranged on the installation cylinder. The device is provided with the polishing assembly, which synchronously polishes the outer wall and the inner wall of the steel pipe, provides clean base material for subsequent rust-proof paint spraying, avoids the risk of paint layer peeling caused by rust residues, and effectively guarantees the use quality and service life of the product.

The utility model discloses an adjustable heat preservation cover for a rubber tire processing device, and relates to the technical field of heat preservation covers, the adjustable heat preservation cover comprises a vulcanizing machine base, a machine cover, an upper mold and a lower mold, the outer surface of the machine cover is connected with an upper heat preservation cover, the outer surface of the upper heat preservation cover is slidably connected with a lower heat preservation cover, the outer surface of a first base is connected with a guide rod, and the outer surface of the guide rod is connected with a second base. The outer surfaces of the guide rods are slidably connected with the inner wall of the second base, the guide rods are sleeved with first springs, through cooperation of the upper heat preservation cover, the lower heat preservation cover and the first springs, spring pushing is provided for the lower heat preservation cover through the first springs, and the lower heat preservation cover is pushed to move downwards to make contact with the vulcanizing machine base. The upper mold and the lower mold are wrapped inside, position and space expansion is achieved by moving the lower heat preservation cover up and down, the upper molds and the lower molds of various specifications can be wrapped, heat is limited in the lower heat preservation cover and the upper heat preservation cover, and the universality of the heat preservation cover is improved.

This invention relates to the field of regional risk grading technology for agricultural insurance, and discloses a multi-scale remote sensing-based regional risk grading assessment system for agricultural insurance. The system includes a multi-scale remote sensing data acquisition and access module, and a satellite remote sensing data access sub-module for automatically accessing multi-source satellite remote sensing data, including but not limited to medium- and low-resolution optical satellite data. This multi-scale remote sensing-based regional risk grading assessment system for agricultural insurance integrates multi-scale observation data from satellite remote sensing, UAV aerial photography, and IoT sensing. The system can simultaneously acquire macro-level regional conditions, meso-level details of plots, and micro-level conditions of plants, forming an integrated sky-ground three-dimensional monitoring network. This greatly enriches the data dimensions and accuracy of risk assessment. Furthermore, by utilizing machine learning and deep learning algorithms, the system automatically extracts features and performs correlation analysis on the fused multi-scale data, enabling real-time identification and quantitative inversion of crop growth status and environmental stress factors.

The application relates to the technical field of operation and maintenance management, and discloses a historical building operation and maintenance management method and system based on digital twinning, which comprises the following steps: constructing a digital basement based on historical data and point clouds, dividing a monitoring area according to a load-bearing structure, value elements and functional spaces, and associating identifiers. Running data is mapped to corresponding component storage spaces according to the belonging area, dynamic operation and maintenance archives and monitoring data streams are formed. The data streams are visually coded with the collection time as the horizontal axis and the spatial topology as the vertical axis, and a space-time distribution atlas is generated. Abnormal areas are determined according to the fluctuation form difference and trend deviation of real-time and historical data in the atlas, an abnormal list is generated by binding the identifiers and time periods. The archives are updated by taking the list as an index, the disease records are matched with the historical maintenance records, and an operation and maintenance management scheme is generated; the application can improve the efficiency of historical building operation and maintenance management based on digital twinning.

A method and system for compressing a Transformer model for autonomous vehicles (RVs) is disclosed. The method includes acquiring image sequence perception data from an RV's onboard camera, obtaining an input sequence matrix through word segmentation and tokenization; extracting features using an attention mechanism, deriving a fourth-order tensor kernel representation to construct its tensorized representation; decoupling spatial dependencies and feature channel mapping relationships using the Kronecker structure and linear homomorphic properties of the fourth-order tensor kernel; quantifying the upper bound of error using a Frobenius norm through Taylor expansion of the local linearization activation function; modeling the Transformer Block as a whole as a fourth-order tensor kernel, performing TT-SVD dual-kernel decomposition to achieve target position-related spatial attention and channel mapping while maintaining inference accuracy; and mapping the compressed dual-kernel back to physical space to construct a model suitable for embedded inference chips in RVs. This invention can reduce inference latency and meet the requirements for interpretable compression.

The application discloses an industrial process carbon emission evaluation method and device based on big data and a storage medium, and belongs to the technical field of carbon emission evaluation. The method comprises the following steps: acquiring meteorological data, biological environment data, historical carbon emission processing data, estimated emission and emission data of each unit region in a region to be evaluated; obtaining a carbon emission diffusion value according to the meteorological data, and obtaining a diffusion influence value according to the meteorological data and the estimated emission; calculating a diffusion index according to the carbon emission diffusion value and the diffusion influence value, and calculating a retention index according to the estimated emission and the emission data; calculating a bearing index according to the estimated emission, the retention index, the emission data, the historical carbon emission processing data and the biological environment data; and obtaining a carbon emission evaluation result after obtaining a carbon emission optimization index of each unit region according to the normalization calculation of the diffusion index, the retention index and the bearing index. Through implementation of the application, the problem that the prior art does not consider the influence of a region and leads to inaccurate evaluation can be solved.

This invention discloses a large-scale model-based answer analysis and management method and system, relating to the field of answer analysis technology. The large-scale model-based answer analysis and management system includes an answer analysis module and an answer review module. This invention constructs an answer-based spoken language mapping knowledge graph and combines it with the semantic role labeling capabilities of the large-scale model to achieve a mapping from surface text to deep semantic structures. This effectively solves the problems of non-standard and colloquial expressions in subjective answers, improving the system's understanding and tolerance for non-standard expressions. By introducing construction logic deduction paths from the expert question bank, non-standard answer words are decoupled into implicit practical action features and expected process purpose features. Similarity comparison is then performed based on engineering utility, elevating the judgment of answer results from keyword matching to engineering logic consistency judgment, significantly improving the professionalism and credibility of the judgment results.

This invention discloses a method and system for pressure ulcer risk assessment and automatic body positioning adjustment on an intelligent nursing bed, relating to the field of intelligent medical and nursing equipment technology. The method includes: collecting surface contact pressure distribution data and microenvironmental temperature and humidity data of the pressure interface from a bedridden patient; mapping the surface contact pressure distribution data to a pressure topology map; calculating the local skin tolerance attenuation coefficient; weighting and correcting the pressure topology map to generate a multidimensional coupled risk distribution matrix; identifying risk extreme value regions in the multidimensional coupled risk distribution matrix; obtaining their cumulative risk values ​​and comparing them with dynamic intervention thresholds to determine the corresponding target airbag group; and generating asymmetric wave-like charging and discharging control commands based on the distribution pattern of the risk extreme value regions to adjust the local geometric contour of the intelligent nursing bed's support surface. This invention enables refined assessment of pressure ulcer risk and risk-driven body positioning adjustment.