39 results about "Land development" patented technology

The invention discloses an urban rail transit station site selection multi-objective optimization method and a related device, and belongs to the crossing field of urban planning and traffic engineering, and the method comprises the following steps: according to preprocessed urban road network data, screening crossing points of urban three-level roads and roads above the three-level roads as candidate stations; the coordinates of the candidate sites are coded; based on the preprocessed crowd travel origin and destination data, POI data, building data and land utilization data, quantifying the service people flow, facility accessibility and land development intensity of each candidate site, and forming a feature matrix of each candidate site; and constructing a multi-target traffic station site selection model, screening candidate stations meeting distance constraints through a greedy search algorithm according to the feature matrix, inputting the candidate stations to NSGA-II, and solving a multi-target optimization function of the multi-target traffic station site selection model to obtain an optimal planning result. The method can solve the problems that in the prior art, the target is single during site selection, and the inter-site distance constraint is not considered.

The invention relates to the technical field of land planning analysis, in particular to a coastal zone land utilization space planning method based on big data analysis, which comprises the following steps: acquiring a multi-time-sequence remote sensing image and environment monitoring data of a planning area, and calculating an ecological safety index of each space unit in the planning area; obtaining economic activity big data and infrastructure data of a planning area, and calculating a land development suitability index of each space unit in the planning area; and establishing a multi-target collaborative game model taking the land utilization demand and the occupancy identifier as constraint conditions, and finally generating and outputting an optimal coastal zone land utilization space planning scheme. According to the method, the real interpretability of the model is improved, rapid adaptation can be conveniently realized through parameter configuration in different regions and different policy tendencies, and the method has high transportability and engineering deployment value.

The invention provides a reserve land development potential grading evaluation method and system based on pattern spot data, and relates to the technical field of reserve land development management, and the method comprises the steps: carrying out the pattern spot data mining of reserve land, and obtaining an original pattern spot data set with pattern spot attribute information; performing multi-level classification and layering according to a spatial planning hierarchical relationship, and extracting a potential constructable base range; performing pattern spot spatial topology processing, extracting pattern spot geometric feature parameters, and performing pattern spot scale division based on a preset area threshold value; establishing a pattern spot potential evaluation index system, and performing pattern spot development potential category division; and executing the refined extraction of the available space to form a visual board for the reserve land. The technical problems that in the prior art, the development potential of the reserve land is evaluated by depending on manual judgment and a rule-based simplified evaluation model, the evaluation precision is insufficient, the development potential of the land cannot be comprehensively reflected, and the scientificity and rationality of a development decision are further influenced are solved.

The invention relates to the technical field of urban planning management, and particularly provides a cross-scale planning key point generation method and system based on NLP and knowledge graph reasoning, and the method comprises the steps: receiving and analyzing a natural language demand of a user, extracting entity information and an instruction intention, and converting the entity information and the instruction intention into a structured instruction; constructing a planning domain knowledge graph containing a planning index constraint relation, a cross-scale planning association rule and a cross-professional parameter mapping relation; extracting a target planning index from the structured instruction, and calling knowledge graph association reasoning to generate an index association set containing association indexes and an adjustment range; performing collaboration verification on the index association set, including cross-scale linkage verification based on upper planning data and GIS spatial analysis and adaptation verification based on knowledge graph cross-professional parameter mapping; and generating a structured planning key point report according to the index association set passing the verification. The method improves the planning key point generation efficiency and compliance, and is suitable for the scenes of urban planning, land development and the like.

The present disclosure presents systems and methods for automated determination of development code performance. One such method, among others, comprises storing, by a computing device, land development design data in a building information model (BIM) file or a Computer Aided Design (CAD) file, wherein the BIM or the CAD file comprises a permit application file having a design for the land development project; checking, by the computing device, the permit application file for code compliance with computable files defining land development codes; generating, by the computing device, an output report indicating whether the permit application file has passed a check for the code compliance; and transmitting, by the computing device, the output report to a client device of an applicant associated with the permit application file.

The present invention provides a digital simulation method for village and town settlements based on cellular automata. First, basic data on village and town settlement development is collected, cleaned, and refined. The decisions and behaviors of various stakeholders are dynamically captured through a multi-agent system and incorporated into a preliminary analysis. These basic data and analysis results are input into a cellular automaton based on machine learning, and ultimately the transformation rules of the cellular automaton are learned. Cell states are iteratively updated according to these rules to simulate and record land behavior changes over time. The land use conversion probability of each cell is calculated, and land use change trends are analyzed. Land development projects are randomly selected using a parallel Monte Carlo method, and the total land supply is determined. Finally, a determination is made as to whether the total supply meets a preset supply threshold. If not, iterative adjustments are made. If so, the results are summarized and visualized. This method provides a systematic, intelligent, and efficient solution for complex land management needs.

The invention provides a sea area influence measurement method and device for a coastal zone land area development level, and belongs to the technical field of information suitable for administrative purposes. The method comprises the following steps: generating a plurality of equidistant sampling lines perpendicular to a coastline along the coastline, wherein each sampling line extends a preset distance towards a land area and a sea area; acquiring an intersection point of each sampling line and the coastline as a sampling intersection point SIP; calculating an index average value of all pixels penetrated by each sampling line based on land social economic index data, and assigning the average value to the corresponding SIP to form a land development level point with vertical representativeness; carrying out nearest distance matching operation on a target pixel in the sea area and each SIP (Session Initiation Protocol); and according to the Euclidean distance between the target pixel and the SIP, performing attenuation processing on the land development level represented by the SIP by adopting a Gaussian attenuation function to obtain a sea area social economic influence score of the target pixel, thereby realizing fine description of transmitting the land development level to the sea area.

The invention relates to the technical field of land development equipment, and discloses a simple optical distance measuring device for land development, which comprises an optical distance measuring device body and a protective shell, rubber frames are fixed on the upper and lower sides of the protective shell, two handles are rotatably connected to the upper side of the protective shell, and Z-shaped connecting rods are fixed on the outer walls of the two sides of the lower end of each handle. A limiting push rod is attached to the outer wall of one end of the Z-shaped connecting rod, protective plates are attached to the two sides of the protective shell, telescopic plates are slidably connected to the front side and the rear side of each protective plate, guide grooves are formed in one sides of the telescopic plates, and strong magnetic blocks are fixed to the opposite sides of the two telescopic plates. Through repulsive force between the two strong magnetic blocks, the two telescopic plates are driven to slide out of the protection plate, the protection space for the body is increased, and through cooperation of the rubber frame, the problems that when the simple optical distance measuring equipment is used, the simple optical distance measuring equipment is prone to slipping in the handheld process, and an objective lens and an eyepiece on the simple optical distance measuring equipment are prone to damage after slipping are solved.

The application belongs to the field of land development management, and discloses a land development right management method and system. The method comprises the following steps: acquiring geographic information of original land blocks and absolute restriction areas, accurately identifying land fragments available for development and geometric properties thereof; identifying connection properties such as spatial distance, traffic accessibility and visual corridor between the land fragments according to the geometric properties of the land fragments, and constructing a correlation network; matching the constructed correlation network with a preset distributed function mode library to determine an applicable distributed function mode combination; generating a distributed function integration scheme according to the matching result, evaluating the overall value of the distributed function integration scheme, and finally outputting land development scheme suggestion information. Through the above technical scheme, the problem of land fragmentation caused by multiple restrictions can be effectively addressed, and a new and feasible development scheme is created for all parties in a complex land environment with fundamental interest conflicts, thereby significantly improving land utilization efficiency and project success rate.

The application discloses a repairing device for land development, and belongs to the technical field of land development and repair, which comprises a protective shell, a belt conveyor for conveying objects, a powerful fan for blowing the objects, a knife sweeper and an adherent collecting device for cleaning the adherents on the belt conveyor, a compression collecting device for compressing light plastic film, a powerful spraying device for spraying soil and dust generated by crushing, a soil collecting hanging rack for hanging soil collecting bags, and a crushing device for crushing hard stone, the device can separate and collect soil, plastic garbage and stones, which is beneficial to the activity of microorganisms in the soil and the circulation of nutrients, thereby improving the soil fertility, providing better conditions for plant growth, and avoiding the interference of plastic garbage, so that the moisture and nutrients in the soil can be more evenly distributed, the absorption and growth of plant roots are promoted, and the ecological safety of the soil is ensured.

The invention relates to the technical field of zero-carbon port energy storage, and discloses a photovoltaic system which is characterized in that a sliding rail is arranged in a prefabricated cabin; the supporting piece is provided with a pulley in sliding connection with the sliding rail. The photovoltaic module is arranged on the supporting piece through the shaft column type tracking rod piece; the photovoltaic system has a first state in which the supporting piece drives the folded photovoltaic module to slide into the prefabricated cabin; in the second state, a supporting piece drives the photovoltaic module to slide out of the prefabricated cabin, the photovoltaic module is opened, and photovoltaic power generation is carried out. According to the invention, the photovoltaic system is stored in the prefabricated cabin for effective protection; the photovoltaic system is moved out of the prefabricated cabin for power generation; the flexibility of the photovoltaic system is improved; the prefabricated cabin can move flexibly, the limitation of an existing photovoltaic system on land use is broken through, the requirement for large-area land leveling is reduced, and the land development cost is reduced; geological exploration after site selection is avoided; the protection effect of the prefabricated cabin on the photovoltaic module is utilized, so that the service life of the photovoltaic module is remarkably prolonged.

The invention discloses a project planning and site selection method based on available land analysis and land development cost estimation, and the method comprises the steps: carrying out the land current situation analysis of land parcels to be selected one by one, i.e., carrying out the spatial overlay analysis of the screened land parcels to be selected meeting conditions and the land utilization current situation data of adjacent years, analyzing the land current situation of each land parcel, and carrying out the calculation of the land development cost of each land parcel; comprising the following steps: further analyzing the areas and proportions of cultivated land and forest land for the agricultural land, estimating the land cost based on the land current situation analysis result of a to-be-selected land parcel, and calculating the land cost according to the agricultural land area, the cultivated land area, the forest land area and the current policy. According to the method, cultivated land purchase indexes and capital costs required for land acquisition compensation are estimated, land parcels to be selected are sorted according to different dimensions such as occupied cultivated land areas, land capital costs, landforms and the like, government departments can conveniently check land element input-output ratios and land performance evaluation, and the pertinence of investment attraction and the efficiency and accuracy of project planning and site selection are improved.

The application discloses a kind of land space planning intelligent optimization method and system based on multi-objective evolutionary algorithm, it is related to land space planning technical field, including the multiple-source basic data needed for acquisition land space planning, based on ecological environment carrying capacity and construction land development suitability index, construct nonlinear mapping model to carry out quantitative evaluation to the development risk of each grid unit, simultaneously with each land type area or quantity as decision variable, construct multi-objective optimization model covering economic, ecological and social benefit, in combination with initial land use state and developable space data, FLUS model is used to simulate expansion to urban development boundary, in simulation process, by dynamic adjustment conversion rule, real-time response planning scale and land growth trend.The method disclosed in the application significantly improves the accuracy of data integration and the flexibility of model response, enhances the scientificity and intelligent level of planning decision, and provides strong technical support for regional sustainable development.

The invention belongs to the field of land development management, and discloses a land development right management method and system, and the method comprises the steps: obtaining the geographic information of an original land parcel and an absolute limitation region, and precisely recognizing land fragments which can be used for development and geometric attributes of the land fragments; according to geometric attributes of the land debris, identifying connection attributes such as spatial distance, traffic accessibility and visual vestibule among the land debris, and constructing an association network; matching the constructed associated network with a preset distributed function mode library, and determining an applicable distributed function mode combination; generating a distributed function integration scheme according to a matching result, evaluating the overall value of the distributed function integration scheme, and finally outputting land development scheme suggestion information; through the technical scheme, the problem that the land is fragmented due to multiple restrictions can be effectively solved, a brand-new and feasible development scheme is created for all parties in a complex land environment with fundamental benefit conflicts, and the land utilization efficiency and the project success rate are remarkably improved.

This application belongs to the field of land resource management technology, and discloses an intelligent investment promotion matching system and method based on the entire life cycle of land. The method includes: obtaining actual resource occupancy data of public resources provided by shared infrastructure to resident land parcels within a target area; calculating the resource scarcity value of each public resource based on the actual resource occupancy data and the effective design capacity of the shared infrastructure; correcting the initial resource planning parameters of undeveloped land parcels within the target area using the resource scarcity value to obtain actual resource availability parameters of each public resource; obtaining resource demand information of enterprises to be matched, and evaluating the matching degree between the enterprises to be matched and the undeveloped land parcels in combination with the actual resource availability parameters, so as to output investment promotion matching results; thereby improving the accuracy and effectiveness of investment promotion matching, and providing a more scientific and real-time decision-making basis for park investment promotion and land development.

To provide a mechanism for quickly presenting land development construction costs for land plotting patterns to users considering land development, by automatically performing land plotting on a development object land.SOLUTION: An information processing system acquires as input information, a floor plan of a development object land, elevation information, a minimum area per plot, road information and drainpipe information, creates a plurality of land plotting patterns on the basis of at least the minimum area per plot out of the input information, calculates land development construction costs for land plotting patterns selected by a user, and presents a written estimate of the land development costs.SELECTED DRAWING: Figure 1

The invention belongs to the field of natural resource management, and particularly discloses a land resource management and utilization change information real-time acquisition method, device and equipment and a medium, and the method comprises the steps: S1, obtaining a data stream from a first-class sensing source, and generating early warning data indicating that the surface state is abnormal; s2, on the basis of the early warning data, triggering collection of a second-class data stream of the target area; s3, carrying out near real-time analysis on the second-class data stream, and identifying whether a predefined dynamic target representing a land development behavior exists in the second-class data stream or not; s4, fusing the early warning data and the behavior recognition result to generate structured land utilization change event data; according to the invention, wide-area and rapid preliminary screening is realized through abnormal state early warning; near-field and accurate video analysis and behavior capture are carried out in combination with triggering behavior evidence secondary confirmation, the overall timeliness of change information discovery is improved, and meanwhile, the misjudgment rate is remarkably reduced in combination with state and behavior cross validation.

The application provides a SBAS-InSAR ground subsidence prediction method considering ground load, first, the overall framework of the ground subsidence model considering the ground load is determined based on an LSTM long short-term memory neural network, then the parameters of the ground subsidence model are configured, the training sample and the verification sample are selected, the ground subsidence model is trained, and the accuracy of the ground subsidence model is evaluated; the trained ground subsidence model is used for predicting and analyzing the subsequent subsidence of the feature points, the application can better evaluate the influence of the building load on the ground subsidence, more accurately predict the ground subsidence trend, and provide a scientific basis for city planning, land development and infrastructure maintenance.

The invention discloses a land development decision-making system and method, and belongs to the technical field of land development. The system comprises a data acquisition and fusion module, a data preprocessing module, a suitability evaluation module, a multi-scenario simulation and conflict coordination module and a result output and report module which are connected in sequence. The data acquisition and fusion module is used for acquiring multi-source heterogeneous land data and constructing a three-dimensional data cube; the data preprocessing module is used for performing standardization processing on the three-dimensional data cube to obtain a standardized land data set; the suitability evaluation module is used for generating a land development suitability grade result based on the multi-dimensional index system; the multi-scenario simulation and conflict coordination module is used for generating a plurality of development scenario schemes according to the land development suitability grade result, identifying space conflicts and outputting optimization schemes; and the result output and report module is used for generating a multi-format decision report. According to the embodiment of the invention, the efficiency and scientificity of land development decision making can be improved.

This invention discloses a multi-objective optimization method and related apparatus for urban rail transit station site selection, belonging to the interdisciplinary field of urban planning and transportation engineering. The method includes the following steps: selecting intersections of urban roads of level 3 and above as candidate stations based on preprocessed urban road network data, and encoding the coordinates of the candidate stations; quantifying the service passenger flow, facility accessibility, and land development intensity of each candidate station based on preprocessed passenger travel origin-destination data, POI data, building data, and land use data, and forming a feature matrix for each candidate station; constructing a multi-objective transportation station site selection model; selecting candidate stations that meet distance constraints based on the feature matrix and using a greedy search algorithm; and inputting the selected candidate stations into NSGA-II to solve the multi-objective optimization function of the multi-objective transportation station site selection model to obtain the optimal planning result. This invention solves the problem of existing technologies having a single objective in site selection and failing to consider distance constraints between stations.

The invention provides a method and system for screening available land parcels of reserve land, and the method comprises the steps: constructing a remote sensing land database based on ArcGIS, integrating multi-source heterogeneous geographic space data, and carrying out the preprocessing of original remote sensing land data; a plot type deduction system is established, and deducted land is obtained; and constructing an artificial intelligence large model training data set and optimizing a large model system, and carrying out land type classification identification on the deducted land by adopting a large model. According to the invention, automatic and intelligent screening and identification of available land are realized, efficient utilization and dynamic supervision of land development are realized, and a method and system support is provided for promoting land utilization and development, layout optimization and system governance.

To provide a mechanism for quickly presenting land development construction costs for land plotting patterns to users considering land development, by automatically performing land plotting on a development object land.SOLUTION: An information processing system acquires as input information, a floor plan of a development object land, elevation information, a minimum area per plot, road information and drainpipe information, creates a plurality of land plotting patterns on the basis of at least the minimum area per plot out of the input information, calculates land development construction costs for land plotting patterns selected by a user, and presents a written estimate of the land development costs.SELECTED DRAWING: Figure 1

The utility model relates to the field of building detection equipment, in particular to a soil compaction detection device for land development. The soil compaction detection device for land development comprises a shell, three box bodies are fixed to the positions, close to the bottom, of the outer side wall of the shell at equal angles, connecting plates are slidably connected into the box bodies, cavities are formed in the inner walls of the box bodies, and U-shaped grooves are formed in the top ends of the inner sides of the cavities. One end of the U-shaped groove is communicated with the position, close to the top end, in the box body, the other end of the U-shaped groove is communicated with a cylindrical hole formed in the box body, a column body is arranged on the inner side of the cylindrical hole, one end of the column body is fixedly connected with a drill cone, and the maximum cross section of the column body is the same as the cross section of the cylindrical hole. The soil compaction detection device for land development, provided by the utility model, has the advantages of being capable of preventing the influence of position deviation on a detection result in the use process of equipment and convenient to move after being used.

The application discloses a GIS-based idle land construction development identification method and system, relates to the land supervision identification field, and comprises the following steps: performing multi-source heterogeneous fusion on remote sensing image data and aerial image data of a region to be researched to obtain a fused image data set; performing land block identification on the fused image data set based on a deep convolutional neural network and in combination with a geographic information system to obtain a land block segmentation coordinate set; performing spatial superposition analysis on the land block segmentation coordinate set in combination with Internet of Things sensing data to obtain a construction development state prediction layer, generating a human activity heat map layer based on a target tracking algorithm according to the Internet of Things sensing data and the aerial image data; and identifying idle land in a land block to be identified in the region to be researched according to the construction development state prediction layer and the human activity heat map layer in combination with public procedure data to obtain an idle land construction development identification result. The application can improve the idle land construction development identification accuracy.

The invention discloses a territorial space planning decision-making method. The method comprises the following steps: preprocessing acquired territorial development related data of a to-be-planned region; a pre-constructed evaluation index system is used to evaluate the preprocessed land development related data of each sub-region in the to-be-planned region to obtain an evaluation result, and the evaluation result comprises a development intensity index and a green development index; a territorial space partition planning scheme and a territorial space ecological management scheme are generated according to the evaluation result and are used for making a territorial space planning decision; according to the method, the development intensity and the green development level of the region can be quantitatively reflected, the win-win situation of efficient land utilization and ecological safety is achieved through cooperation of the zoning planning and the treatment scheme, and the scientificity and the green level of land space treatment are remarkably improved.

The application relates to the field of land management, in particular to a land element optimized allocation decision system and method based on artificial intelligence, which comprises a land remote sensing module, a region segmentation module, a development prediction module, a virtual merging module and an allocation decision module; the land remote sensing module is used for rasterizing land and inputting land element information; the region segmentation module is used for generating development regions and calculating shape coefficients; the development prediction module is used for calculating the output efficiency of land grids; the virtual merging module is used for merging adjacent development regions; and the allocation decision module is used for planning the development type of conflict grids; the application can reduce the waste of land resources, avoid the low-efficiency utilization caused by land dispersion, improve the land utilization efficiency, reduce the land development and management cost, ensure the scientificity and accuracy of land allocation, and realize the efficient utilization of land resources and the coordinated development of ecological environment.

The invention relates to the technical field of land monitoring, in particular to a land resource dynamic monitoring analysis system and method, and the method comprises the steps: determining the space boundary and time range of a monitoring region, and obtaining the image information of the monitoring region through a satellite; a mixed strategy of'deep learning automatic classification + manual accurate verification 'is adopted, land properties of obtained image information are classified, differential monitoring periods are implemented for land types with different change characteristics, meaningless high-frequency monitoring on low-change-rate areas such as cultivated land fallow areas and mature forest land is avoided, and the land quality is improved. The redundant workload of satellite image acquisition, data processing and manual verification is reduced; meanwhile, monitoring resources are preferentially concentrated in high-change-rate areas such as a construction land development area and an ecologically fragile area, and the overall monitoring cost is reduced on the premise that monitoring full coverage is guaranteed.

The invention discloses a land value evaluation method and device for land development, equipment, a medium and a product, and the method comprises the steps: obtaining a value influence factor of a target stock land, and carrying out the standardization processing of the value influence factor; according to the processed value influence factors, an optimized land comprehensive value evaluation model is adopted to carry out value evaluation on the target stock land, and the comprehensive value of the target stock land is obtained; wherein the land comprehensive value evaluation model is optimized by adopting a genetic algorithm. Various factors influencing the land parcel value can be comprehensively considered, a land comprehensive value evaluation model is established to evaluate the value of the developed land, scientific evaluation of the land parcel value is realized, and the demand of refined land management is met; and the land comprehensive value evaluation model is optimized through the genetic algorithm to improve the accuracy and credibility of the evaluation result.

The application relates to the technical field of satellite remote sensing image segmentation, in particular to a remote sensing image land development category segmentation method and system based on edge detection, and specifically as follows: a satellite remote sensing image land development category segmentation model is constructed, satellite remote sensing land images captured by satellite remote sensing are input into the model, and a land development category segmentation result is obtained; the model comprises a satellite image feature reconstruction module, a super-resolution satellite image detail enhancement module, a multi-scale convolution construction super-resolution satellite image detail enhancement module, an edge local perception attention module, a satellite image global capture module and a satellite image land category segmentation module. The application can solve the problems of fuzzy ground object boundary, difficult multi-scale feature fusion and difficult local details and global semantic information collaborative modeling when processing satellite remote sensing land images, and effectively improves the segmentation precision of satellite remote sensing images on the development land category.

The application discloses a method and device for reconstructing all-coverage and all-mode travel OD based on multi-source data, which comprises the following steps: dividing a research area into multiple traffic blocks, constructing a mobile phone signaling analysis model, a subway and bus checking model, an individual motorized mode division model and a slow travel prediction model, respectively acquiring mobile phone signaling OD, subway travel OD, bus travel OD, individual motorized travel OD and slow travel OD, and integrating all-coverage and all-mode travel OD. The application is based on the accuracy of various data in space and time, the travel characteristics and the law of land development, and fuses to form all-mode and all-coverage travel OD.