48 results about "Land development" patented technology

The invention discloses an intelligent optimization method and system for territorial space planning based on a multi-objective evolutionary algorithm, and relates to the technical field of territorial space planning, and the method comprises the steps: collecting multi-source basic data needed by territorial space planning, and carrying out the optimization of the territorial space planning based on ecological environment bearing capacity and construction land development suitability indexes; constructing a nonlinear mapping model to quantitatively evaluate the development risk of each grid unit, constructing a multi-objective optimization model covering economic, ecological and social benefits by taking the area or quantity of each land type as a decision variable, and calculating the development risk of each grid unit in combination with the initial land utilization state and developable spatial data. The FLUS model is adopted to carry out simulation expansion on the urban development boundary, and the planning scale and the land use growth trend are responded in real time by dynamically adjusting the conversion rule in the simulation process. According to the method, the data integration accuracy and the model response flexibility are remarkably improved, the scientificity and the intelligent level of planning decision making are enhanced, and powerful technical support is provided for regional sustainable development.

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 discloses a large-scale infrastructure intensive land-saving development potential analysis method and system, and the method comprises the following steps: 1) constructing a large-scale infrastructure stock land geospatial database based on Arcgis, and collecting the related element data of the large-scale infrastructure stock land; 2) extracting land suitable for optimizing stock of large infrastructures, and screening and extracting municipal public facility land and road and traffic facility land which are larger than 5 hectare in land scale and are not dangerous; 3) constructing an AHP-entropy weight method hybrid model, optimizing the weight by means of a genetic algorithm to establish a site selection evaluation system, and comprehensively evaluating the alternative land; 4) constructing a land development population service coverage model to obtain the number of each development land service population; and 5) guiding a land redevelopment time sequence in combination with the comprehensive score of the alternative land and the number of serviceable population. The method provides a path for improving the utilization efficiency of land resources, eliminating the neighborhood effect of large infrastructures and realizing high-quality development.

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 provides a land ecological restoration method, system and equipment and a medium. The method comprises the following steps: acquiring multi-source monitoring data of a set area; based on the multi-source monitoring data, performing land utilization prediction on a set area by using the dynamic prediction model to obtain a land utilization change prediction result; and if a land utilization change prediction result exceeds a land development early warning range, taking ecological environment limitation as a constraint condition, taking an optimal ecological restoration result as an objective function, and solving the objective function by using a multi-objective genetic algorithm to obtain an ecological restoration scheme of the set region. The method can quickly determine whether the land is over-developed or not, improves the efficiency and accuracy of land supervision, can generate an optimal ecological restoration scheme when the land is over-developed, can improve the restoration efficiency, reduces the restoration cost, can provide a sustainable solution for regional ecological protection, and improves the economic benefit. And the robustness and adaptability of the system are enhanced.

The present disclosure presents systems, methods, and non-transitory computer-readable media for transforming civil, architectural, or engineering drawings into Building Information Modeling (BIM) or Computer-Aided Design (CAD) models. One such method comprises training an artificial intelligence algorithm on a collection of 2D civil and architectural blueprint designs to enable the artificial intelligence algorithm to efficiently extract elements from the blueprint designs and map them into 3D data model objects; creating a 3D data model using the trained artificial intelligence algorithm, from an input collection of 2D blueprint designs; creating a project database by adding metadata from the input collection of 2D blueprint designs; generating a database of code rules and regulations; performing, using the project database, and the database of code rules and regulations, a compliance check to determine if the 3D data model complies with the database of code rules and regulations; and presenting results of the compliance check.

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 relates to the field of land management, in particular to a land element optimal configuration decision system and method based on artificial intelligence, and the system comprises a land remote sensing module, a region segmentation module, a development prediction module, a virtual merging module and a configuration decision module. The region segmentation module is used for generating development regions and calculating shape coefficients, the development prediction module is used for calculating output efficiency of land grids, the virtual merging module is used for merging adjacent development regions, and the configuration decision module is used for planning development types of conflicting grids. The low-efficiency utilization caused by land dispersion is avoided, the land utilization efficiency is improved, the land development and management cost is reduced, the scientificity and accuracy of land allocation are ensured, and efficient utilization of land resources and coordinated development of the ecological environment are achieved.

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 present invention discloses a land spatial planning management system and method based on big data, which relates to the technical field of spatial planning management. The spatio-temporal coding mechanism adopted by the present invention deeply integrates the historical evolution of ecological elements with spatial topology, realizes the real-time deduction of the multi-dimensional impacts of red line adjustment on the groundwater level, species migration, etc., and breaks through the lag of the traditional static rule base; quantifies the propagation path of cascade effects based on the graph diffusion model, and automatically identifies cross-media contradictions such as habitat fragmentation caused by the increase in land development intensity, solving the problem that it is difficult for artificial experience to handle complex causal chains.

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.

The invention provides a measuring device for land area surveying and mapping and a use method, and relates to the technical field of land area surveying and mapping, the measuring device comprises two mounting seats, one side of each mounting seat is provided with two moving wheels, a placing assembly is fixedly connected between the two mounting seats, and a plurality of positioning piles are placed on the placing assembly. A measuring scale is arranged between every two adjacent positioning piles, and a downward pressing assembly is arranged on the upper surface of the mounting base. The positioning piles and the measuring rulers are arranged, the positioning piles are inserted in a measuring starting point, the device moves and pulls the measuring rulers according to a satellite positioning route, when the measuring rulers are straightened, the second positioning pile is inserted into soil, operation is conducted in sequence, and measuring data can be obtained according to the number of the measuring rulers and the distance between the last positioning pile and an ending point. And meanwhile, the positioning piles are reserved as obvious marks, lime is conveniently used for lineation and marking later, the measuring ruler plays a role of a simple fence, and later land development planning is facilitated.

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 present invention discloses an overline multi-layer freight warehouse in a railway logistics base, comprising: a railway transfer layer for transferring goods, the railway transfer layer includes two platform units, a train track unit is formed between the two platform units, and a first road transportation unit is formed on each of the opposite sides; a road transportation layer is arranged above the railway transfer layer, the road transportation layer includes a first goods storage unit and two second road transportation units, the two second road transportation units are arranged in one-to-one correspondence with the two first road transportation units, and the first goods storage unit is used for storing temporary goods; a goods storage layer is arranged above the road transportation layer, the goods storage layer includes a plurality of second goods storage units, and the second goods storage units are used for storing long-term goods. The present invention aims to solve the problems of low land development and utilization rate of existing railway logistics bases, insufficient area of on-line warehouses, loose connection of multimodal transport, and difficult warehouse layout to meet market demands.

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