72 results about "Land based" patented technology

The invention discloses an urban reserve land intelligent classification method and system based on spatial data fusion, and relates to the technical field of data processing, and the method comprises the steps: carrying out the formalized expression of a land use rule of a preset urban region, and constructing a land domain knowledge graph; collecting multi-source spatial data, performing feature extraction and alignment, and generating a high-dimensional feature vector of each plot; and performing hybrid classification evaluation based on the high-dimensional feature vector of each land parcel, synchronously outputting land use types, development potential levels and land reference value intervals of the land parcels, and calling a land domain knowledge graph to perform compliance verification and correction. The technical problems that an existing urban reserve land classification method depends on artificial experience and lacks accurate and multi-dimensional data fusion and compliance check, so that the accuracy and practicability of a classification result are low are solved, and the purpose that the classification accuracy and practicability of the urban reserve land are improved through multi-source spatial data fusion and an intelligent classification framework is achieved. And the accuracy and practicability of urban reserve land classification are improved.

The invention discloses a low-efficiency land use redevelopment function prediction method based on a graph neural network, and the method comprises the steps: S1, obtaining the land use benefit of each space unit in a learning region, dividing each space unit into a high land use benefit type, a middle land use benefit type and a low land use benefit type, selecting a space unit with a high land utilization benefit type as an urban land use configuration case library; s2, taking the urban land use configuration case library obtained in the step S1 as a sample set, and constructing and training a functional feature learning model based on a graph neural network according to the sample set; and S3, obtaining each space unit in the prediction area, inputting the space units into the functional feature learning model obtained in the step S2, and performing low-efficiency land use redevelopment function prediction. By simulating urban space function interaction and mechanism innovation, a traditional land utilization prediction normal form based on static rules and spatio-temporal evolution is broken through, and scientific support is provided for land benefit improvement and function replacement decision in urban updating.

A composite optimization positioning method of a multi-buoy combined land base station is based on an RTK technology, constructs double-difference baselines for a plurality of buoys, and constructs a closed composite optimization solution scheme by using a plurality of baselines, and comprises the following specific steps: (1) baseline construction: obtaining observation data between the plurality of buoys and a land reference station by using the RTK technology, constructing a double-difference base line between every two buoys to obtain a base line resolving result; (2) calculating a closing error; (3) carrying out composite solution; (4) result screening and determination: calculating difference values among multiple groups of combined observation values; eliminating values with difference values exceeding 95% confidence interval of the difference value sequence; calculating an arithmetic average value of multiple groups of observation values of which the difference values are within 95% confidence interval, and taking the arithmetic average value as a final positioning result of the buoy; and (5) selecting a buoy closed ring. The method aims at solving the problem that the ocean buoy positioning result is unreliable and even fails under the complex sea condition, the availability rate of the positioning result can be improved, and the buoy positioning precision can be improved to a certain degree.

The invention relates to an ecological corridor identification method and system based on machine learning. The method comprises: extracting ecological source land based on land utilization data; training a machine learning classification model by using the ecological system service data and the multi-source space impact factors, inputting the multi-source space impact factors into the trained machine learning classification model, predicting ecological resistance values of all space units in the research area, and outputting an ecological resistance surface; and inputting the ecological source land and the ecological resistance surface into an ecological connectivity analysis model based on a circuit theory, simulating an ecological flow process, identifying space channels connected between different ecological source lands according to an ecological flow probability or accumulated resistance, and determining an ecological corridor in the research area. Compared with the prior art, the method has the advantages of improving objectivity and accuracy of an ecological corridor identification result and the like.

A vehicle periscope assembly provides for real time augmentation of viewing objects viewable within an optical viewing path. A display is mounted proximate a defined optical viewing path and is configured to generate images that correspond to objects viewable along the optical viewing path.

The utility model discloses a subsurface underground water level descending drainage structure which comprises a land base layer. The preliminary filtering assembly comprises a water collecting well and a rectangular filtering net; the self-rotating cleaning assembly comprises a bearing cylinder, a concealed pipe, a circular filter screen, a rotating rod, a metal plate, a rectangular strip and bristles; a circular filter screen is movably connected to the middle of the bearing cylinder, a rotating rod is movably connected to the middle of the concealed pipe, metal plates are obliquely and fixedly installed on the two sides of the rotating rod, a rectangular strip is fixedly connected to the top of the rotating rod, and bristles are fixedly connected to the top of the rectangular strip. The obliquely-installed metal plate can drive the rotating rod to rotate under the impact of water flow, so that the rectangular strip and the bristles are driven to rotate, the circular filter screen can be cleaned, the blocking phenomenon is avoided, meanwhile, the water flow is adopted for generating force on the whole, the follow-up disassembling and battery replacing steps are avoided, and the working efficiency is improved. And the convenience of subsequent use is improved.

The invention discloses a construction land soil characteristic pollutant intelligent identification system and method based on multi-source information fusion, and belongs to the field of pollutant identification. The invention discloses a multi-source information fusion-based intelligent identification system for specific pollutants of soil of a construction land. The system comprises a multi-source information acquisition module, a multi-source information fusion module, an intelligent identification model and an identification early warning module. The method solves the problems that in the prior art, in the detection process, a single data source is depended, and identification is one-sided due to narrow data coverage and insufficient information dimension, the pollution area can be locked through remote sensing, the concentration can be calibrated through sensor data, misjudgment caused by single data abnormity is avoided, data continuity is ensured, and the detection accuracy is improved. According to the method, the recognition precision is remarkably improved, the pollution state can be represented more comprehensively, the pollutant recognition accuracy is greatly improved, the time and cost of large-range preliminary screening are greatly reduced, interference is eliminated through multi-data cross validation in multi-source fusion, and misjudgment caused by scene interference is avoided.

RADAR DEVICE, ECHO IMAGE GENERATION METHOD AND ECHO IMAGE GENERATION PROGRAM For the purpose of generating an echo image showing a more accurate detection result of an object, a radar device (101) is provided with: an acquisition unit that acquires echo data indicating a correspondence relationship between a position in a detection object area and the level of a reflected wave reflected at the position by an electromagnetic wave transmitted via an antenna (11); a detection unit that detects an object based on the echo data; a land determination unit that determines whether or not the object is on land based on the area of the object; a port determination unit that determines whether or not the position of the vessel (1) is in a port based on the distance (D) between the vessel (1) and the land; a threshold determination unit that determines a threshold for the level of the reflected wave according to the determination result of whether or not the vessel (1) is in a port; and a generation unit that generates an echo image based on the threshold and the echo data. (FIG. 1)

The invention discloses a social media data fused urban inefficient land intelligent identification method, which comprises the following steps of: realizing multi-source data space fusion by acquiring a social media geographic marking text, an urban updating policy file, a remote sensing image and basic geographic data; a natural language processing and topic modeling method is used for extracting keywords from the city update text, a topic-feature word mapping table is constructed, a RoBERTa-l arge model and a semantic rule are combined to calculate a text emotion score, and a land use negative emotion map is generated; and constructing a multi-dimensional evaluation system including indexes such as plot ratio and road network density, calculating a composite index by adopting an AMP algorithm, dynamically allocating weights through an entropy weight method, and judging the low-efficiency land. And a white list area is introduced for verification and parameter iterative optimization, and finally, an identification result is visually displayed in WebG IS and AR platforms, so that the accuracy and decision support capability of urban low-efficiency land identification are improved.

The invention discloses a multi-objective optimized urban development boundary land intelligent configuration simulation method, which comprises the following steps: S1, acquiring multi-source original data of a to-be-simulated city, and preprocessing the multi-source original data; s2, based on the preprocessed data, dividing urban land basic units, extracting feature information of each unit, and constructing an urban development boundary configuration basic data set; and S3, building a city development scene generation model of a generative model architecture, and taking the basic data set as input. The invention relates to the technical field of city planning and simulation. According to the multi-objective optimized intelligent configuration simulation method for the urban development boundary land, a generative model and a deep learning technology are adopted, a virtual development boundary scheme is generated according to multi-source data, the virtual development boundary scheme and actual urban land data are compared and analyzed, a deviation value is calculated, model parameters are automatically adjusted, iterative optimization is carried out, and the intelligent configuration simulation method for the urban development boundary land is achieved. And the development scheme gradually tends to be optimal.

The invention discloses a nanogenerator-based self-powered wind power pile seabed scour pit piezoelectric monitoring method, and relates to the technical field of offshore wind power generation pile monitoring, and the method comprises the following core contents: constructing a ''seabed sensor-sea surface signal transfer module-land data processing and early warning system'' integrated architecture; the PVDF piezoelectric unit is used for realizing direct conversion from kinetic energy of ocean fluid to electric energy, synchronously converting the change of the exposed length (corresponding to the scouring depth) of the vertical plate of the sensor into a voltage signal, and transmitting the voltage signal to a land base station after processing to realize real-time monitoring; the sensor takes reinforced fiber / epoxy resin as a carrier and is coated with a plurality of corrosion-resistant coatings, and a double-layer circular array is arranged on a seabed within the range of 1 meter around a wind power pile. By means of the self-energy-supply design, the problems of high maintenance cost and poor reliability caused by the fact that traditional monitoring depends on an external power source are solved, the bottleneck of long-term stable monitoring under the complex marine environment is broken through by combining a high-sensitivity monitoring mechanism and a multi-layer protection structure, the advantages of being convenient and fast to install and controllable in cost are achieved, and technical support is provided for safe operation of a wind power plant.

The invention discloses an intensive land saving evaluation method and system based on a road construction project, and the method comprises the steps: obtaining a remote sensing image of a corresponding region of the road construction project, and extracting land use information; in combination with the approval vector range and the partition standard, interpreting the land use information to obtain function partitions; calculating land use control ranges of different function partitions according to a project land use standard; constructing a four-dimensional evaluation model of the land use increment, the land use stock, the land use structure and the land use potential, and calculating each evaluation index based on the four-dimensional evaluation model; and based on the evaluation index, evaluating the intensive land saving condition of the road construction project by taking the upper quartile and the lower quartile as standards. According to the technical scheme, objective measurement, quantitative description and efficient monitoring can be carried out on the intensive land saving effect and potential of the project, a land space saving and intensive utilization evaluation system is formed, and precise description and monitoring of global land intensive utilization are achieved.

The application provides a helicopter landing gear landing load measurement method, the method comprises the following steps: pasting at least 10 strain gauges at the wheel shaft position; obtaining the tensile strain, shear strain, bending strain and torsional strain of the strain gauges; determining the heading load, lateral load and / or vertical load when the helicopter landing gear lands based on the tensile strain, shear strain, bending strain and torsional strain of the strain gauges; the application realizes the analysis and calculation of the transmission of the three-directional ground loads to the landing gear wheel shaft during the landing of the helicopter, the reverse derivation process of strain to load is supplemented by the forward derivation of traditional load to strain, the interference of the nonlinear superposition of combined loads on the solution of ground load calculation is eliminated, the position requirement that the strain gauge layout needs to meet the unidirectional load sensitivity is reduced, and good universality is achieved.

The present application relates to a kind of hard rock crossing of non-excavation directional drilling based on submarine cable landing construction method, belong to the technical field of optical cable layout, including the following steps: design from high to down and between vertical plane certain angle and the preset trajectory of through hard rock slope surface;Control directional drilling machine along the preset trajectory and drill guide hole;Control the drill rod of directional drilling machine along the preset trajectory and back drag, and finally form guide final hole by expanding the guide hole;Excavation anchoring well of construction operation and the cable trench being communicated with the anchoring well at suitable position, and install anchoring device inside anchoring well;Drag rope of armoured submarine cable is passed from guide final hole to shore.The present application avoids trenching on hard rock, reasonably reduces construction cost, avoids trestle erection on steep slope at the same time, reduces the landscape influence to rock shore reef, avoids the influence of scouring, corrosion to cable structure.

The application provides a kind of based on forest remote sensing data annotation method and system, comprising: obtaining the multi-source remote sensing data of forest land;Multi-source remote sensing data is handled;Optical image features are extracted using improved Mask R-CNN network, multi-modal enhanced feature maps are obtained by compressing and exciting SE module to enhance near-infrared band weight and performing feature fusion;Feature extraction is carried out using 3D convolution network, and multi-level three-dimensional spatial feature map is obtained;The processed data is input into the Transformer model, and the forest growth curve graph is obtained;Initial annotation is carried out based on the feature map and the curve graph, and the initial annotation result is obtained;Small area noise is removed by morphological filtering to the initial annotation result, and the annotation boundary is optimized by combining superpixel segmentation algorithm, to obtain the optimized annotation result;The optimized annotation result is generated into vector annotation file.The multi-dimensional information complement of spectral features, three-dimensional structure features and time sequence dynamic features is realized, and the data availability and reliability are significantly improved.

To generate an echo image indicating a more accurate detection result of a target.SOLUTION: A radar device includes: an acquisition unit that acquires echo data indicating a correspondence relation between a position in a detection target area and a level of a reflection wave obtained when an electromagnetic wave transmitted via an antenna is reflected at the position; a detection unit that detects a target on the basis of the echo data; a land determination unit that determines whether or not the target is a land on the basis of an area of the target; a harbor determination unit that determines whether or not a position of a ship is inside a harbor on the basis of a distance between the ship and the land; a threshold value decision unit that determines a threshold value for the level of the reflection wave according to a determination result of whether or not it is inside the harbor; and a generation unit that generates an echo image on the basis of the threshold value and the echo data.SELECTED DRAWING: Figure 1

The invention discloses an information interaction method and device, equipment, a storage medium and a program product, and belongs to the technical field of computers. The method comprises the steps of displaying batch interaction props under the condition that virtual land of a virtual object meets batch interaction conditions; in response to a trigger operation of the batch interaction prop, based on a three-dimensional bounding box of the batch interaction prop and reference information, determining a reference land parcel in the at least two land parcels of the virtual land, the reference information comprising at least one of parameters of the batch interaction prop, a position of a virtual object or a planting state of each land parcel of the virtual land; and displaying the interaction result. The batch interaction prop can directly act on at least two land parcels, so that the interaction efficiency is improved; the virtual land areas of different heights can be covered in the three-dimensional space by using the three-dimensional bounding box of the batch interaction props, land parcel misjudgment caused by topographic relief is avoided, the reference land parcel is determined in combination with the reference information, and the accuracy of determining the reference land parcel is improved.

A method of constructing a floatable foundation 100 for a wind turbine generator, the method comprising constructing a base 101 having a tower interface 2 at a land-based construction site 102; receiving a first part 1a of a wind turbine tower 1 at the land based site, the first part having a first bolted flange 3a or weld interface and a base interface 4; with the base located at the land-based construction site, connecting the base interface and tower interfaces to fix the first part to the base; moving the base into a floating state; and mounting a second part 1b of the wind turbine tower, the second part having a second bolted flange 3b or weld interface configured to interface with the first bolted flange 3a or weld interface, to the first part by connecting the first and second bolted flanges or weld interfaces.

A computer-implemented method for emission estimation includes collecting top down information including above surface information related to land and collecting bottom up information including below surface information related to the land. Greenhouse gas emissions are estimated for specific parcels of land based in accordance with a parcel size of a first granularity for the top down information and the bottom up information. A geospatial foundation model is fine-tuned using a physics informed loss function that accounts for estimated CO2 through remote sensing and weather and phenological information from soil data, wherein the fine-tuning creates a hyper local model that allocates emissions at a second granularity that has a higher spatial resolution than the first granularity.

The invention relates to the field of polluted land parcel restoration and treatment, and particularly discloses a solid waste cleaning effect evaluation method which comprises the following steps: S1, acquiring excavation boundary control point coordinate data and land parcel basic information of a to-be-evaluated land parcel; s2, for each evaluation unit, taking the excavation boundary control point as a core sampling point, setting an auxiliary sampling point, and determining a sampling scheme; s3, at each sampling point, collecting a soil sample in a stratified sampling manner, and performing pretreatment to obtain a to-be-detected sample; s4, performing solid waste residue and soil particle composition uniformity detection on the to-be-detected sample; s5, setting an evaluation threshold value standard, and comparing a detection result with a threshold value to judge the cleaning qualification of each evaluation unit; and S6, summarizing judgment results of all evaluation units, integrally evaluating the land parcel cleaning effect and outputting a secondary cleaning suggestion scheme. The method is easy and convenient to operate and accurate in judgment, the solid waste cleaning effect can be objectively and accurately judged, the evaluation efficiency is improved, and practicability and generalizability are high.

Navigation filters / estimators are coupled with coordinated multi-agent batch navigation to facilitate “Synthetic Aperture” capabilities for improved GPS-denied or degraded navigation. The modified single-agent navigation filter continues to estimate platform (Airborne, water based and / or land based autonomous vehicles) position, velocity, and attitude in a global reference frame in the standard way, but now simultaneously outputs “delta-poses” (effectively a low rate odometry) with accurate covariances. The delta-poses are then used in complementary multi-platform navigation algorithms which provides accurate relative pose between cooperating platforms. The relative position knowledge allows the modified global filter to ingest the other platforms navigation-aiding measurements directly.

A method, system, and non-transitory computer readable medium for generating a land score are provided. The method includes receiving a request for a land score calculation from an application on a user device; receiving, from a graphical user interface, a selection of a land site to evaluate; obtaining multiple data inputs relating to the land site; excluding portions of the land site; calculating the land score for the land site; determining, based on the land score, a ranking for the land based on the land score; determining multiple layouts for building based on the ranking; and displaying the layouts via the graphical user interface.

The invention relates to the technical field of greenbelt management and maintenance, in particular to a greenbelt intelligent management and maintenance system based on cloud computing, which comprises a cloud multi-source integration module, a time sequence disturbance analysis module, a disturbance chain association module, a disease trend identification module and a management and maintenance regulation and control linkage module. And judging the online state of the sensing equipment and the plot numbering accuracy. According to the method, a cloud-oriented data integration system is constructed, multi-source environment parameters and spatial attributes are collected into a dynamic data structure, global association and time sequence connection of information among land parcels are achieved, data are automatically sorted through a cloud platform to form a parameter evolution link, multi-level feature criteria such as coverage, time sequence and trend are established for monitoring objects, and the monitoring efficiency is improved. Abnormal evolution performance of a disease state is directly fed back to a management and maintenance regulation and control process through linkage judgment, and system output regulation and control configuration is generated according to a real-time state, so that the consistency of risk research and judgment and the pertinence of a regulation and control decision are improved.

1. The name of the design product: land floating wind power generation device. 2. The use of the design product: wind power generation. 3. The design points of the design product: the shape of the product. 4. The picture or photo that best indicates the design points of the design: perspective view.

The invention relates to the technical field of machine learning, in particular to an urban green land NDVI prediction method and system based on machine learning, and the method comprises the steps: obtaining the multi-dimensional state data of a target green land; based on the multi-dimensional state data, constructing a vegetation ecological process prediction network corresponding to the target green land; the vegetation ecological process prediction network at least comprises a photosynthesis prediction sub-network, a respiration consumption prediction sub-network and a stress suppression prediction sub-network; and performing NDVI prediction on the target green land based on the vegetation ecological process prediction network to obtain an NDVI prediction value, thereby realizing NDVI prediction based on the ecological process, and improving reliability and interpretability of NDVI prediction.

The invention discloses an intelligent algorithm for evaluating a target land price based on a market land price. The intelligent algorithm comprises the following steps: 1) acquiring target land parcel data; 2) based on the target land parcel data, using a GIS tool to delimit a peripheral area range of the target land parcel, and screening out similar land similar to the target land parcel in use, property and planning index from the determined peripheral area range; 3) calculating the average unit price of the same kind of land; 4) adjusting the average unit price based on land use, planning indexes and position advantages; and 5) based on the adjusted average unit price and the area of the target land parcel, obtaining the land price of the target land parcel, and performing visualization. According to the method, the economic value and potential value of the land are quantified in combination with multi-source data, and the influence of policy adjustment and market fluctuation on the land value is tracked in real time; and a scientific basis is provided for time sequence planning of land collection, storage, transfer and development.

The overall flight plan is taken into account to determine potential landing locations. [Solution] The information processing device comprises an acquisition unit that acquires three-dimensional spatial information about the flight range for monitoring a monitored object by an aircraft, a setting unit that sets the range within which the aircraft can take off and land based on the three-dimensional spatial information, a reception unit that receives flight conditions and priority conditions for the aircraft to fly to monitor a monitored object, and an output unit that generates flight path information including takeoff and landing locations based on the range within which the aircraft can take off and land set by the setting unit and the flight conditions received by the reception unit, and outputs takeoff and landing locations that satisfy the priority conditions received by the reception unit as potential takeoff and landing locations based on the generated flight path information.

The invention discloses a method and a system for accurately identifying a irrigated land based on space-time two-dimensional feature fusion, and belongs to the technical field of remote sensing image processing and agricultural information. The method comprises the following steps: acquiring multi-source data of a target area, wherein the multi-source data comprises a remote sensing image sequence, surface water source spatial distribution data, underground water irrigation facility spatial distribution data and cultivated land pattern spot data; spatial analysis is carried out based on water source and irrigation facility data, and an irrigation condition spatial distribution diagram is generated through Euclidean distance calculation and nuclear density analysis; extracting a time sequence vegetation index of the cultivated land pattern spot data in a moisture sensitive phenological period based on the remote sensing image sequence, and calculating a stability index; constructing a deep learning model fusing the spatial semantic segmentation network and the time sequence analysis network, and performing model training by taking the spatial distribution map and the stability index as fusion input features; and identifying and outputting a irrigated land distribution map by using the trained model. The invention further discloses a corresponding system, electronic equipment and a storage medium. According to the invention, through time-space two-dimensional feature fusion, the precision of irrigated land identification is effectively improved, and the limitation of a single-dimensional method is solved.

The invention discloses a construction land hook increasing and decreasing reclamation area video measurement method based on remote sensing and ground verification, and relates to the technical field of video measurement of image detection. Generating three types of feature layers of texture, form and environment background by using a pixel group segmentation strategy; then, multi-scale synchronous analysis is carried out on the three types of layers in a unified space reference, pattern spot form signatures are extracted by means of direction consistency coding, an adjacent graph is constructed in combination with shared side lengths, high-precision reclamation area pattern spots are output through multi-level cross fusion and iterative category correction, and finally automatic measurement and calculation of the area and the boundary are achieved. And a closed loop is formed with ground verification data. According to the method, time sequence continuity and slight parallax information of a remote sensing video are fully utilized, and illumination and noise interference are effectively suppressed; and the reclamation boundary positioning under the complex ground feature background is more accurate through multi-dimensional feature coordination.