16results 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 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.

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.

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.

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 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 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.

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.

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.