40 results about "Land-use planning" patented technology

A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system electronically creates at least one candidate solution to the land development problem. The candidate solution incorporates a number of engineering measurements applicable in development of an undeveloped land site. A fitness function quantitatively evaluates the candidate solution based on its fitness. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. A computer output device outputs to a user documentation illustrating the fit solution to the land development problem.

A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system employs a computer readable medium and a computer program encoded on the medium. The computer program is operable, when executed on a computer, for electronically creating at least one candidate solution to the land development problem. The candidate solution incorporates engineering measurements applicable in development of an undeveloped land site, the land site including a conceptually designed vehicle parking area. A fitness function quantitatively evaluates the candidate solution based on its cost. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. Documentation illustrating the fit solution to the land development problem is delivered to the user.

A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system electronically creates at least one candidate solution to the land development problem. The candidate solution incorporates a number of engineering measurements applicable in development of an undeveloped land site. A fitness function quantitatively evaluates the candidate solution based on its fitness. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. A computer output device outputs to a user documentation illustrating the fit solution to the land development problem.

The invention relates to an intelligent optimization method of land use layout, in particular to an intelligent optimization method of land use layout based on a particle swarm optimization algorithm applied in land use space optimization configuration, and belongs to the field of land use planning. The intelligent layout optimization method provided by the present invention firstly collects and organizes the statistical data and spatial data related to the land use layout, then selects the appropriate grid pattern division method, determines the algorithm operation unit, and then imports the data into the particle swarm optimization model to perform Problem modeling and layout optimization, and finally generate land use layout optimization results. The invention can better simulate the intelligent behavior of human beings in the land use decision-making process to improve the rationality of the land use layout, and adopts an efficient optimization algorithm, which is suitable for the land use layout of large areas, and when the optimization conditions change The model can respond dynamically in real time and generate new optimized layout schemes.

The invention relates to a method for predicting land use space planning and converting simulated space scale. A method for converting sub-region area conservation oriented land use space scale is realized for the problem on non-conservation of spatial distribution and area accuracy loss of scale conversion between the land use vector and the grid or each of the grids with different resolutions based on the land use vector or the grid space data; and the method specifically comprises the following steps of: carrying out automatic conversion of vector to grid component ratio data to land use type status or dynamic change data; carrying out statistic analysis to different land use statuses or dynamic change areas in the sub-regions; carrying out multi-scale grid conversion to the land use status or the dynamic space data; and carrying out a method for predicting the land use space, controlling simulated sub-region area conservation and configuring space. The method has wide application value in land and resources administration, city planning, geographic information engineering, land use decision and climate change impact evaluation in global climate talks. The method plays an important role in reducing uncertainty of simulation and prediction of the land use space.

A population initialization method for intelligent optimization of land use spatial layout, including making a difference between the number structure of land use in the regional planning year and the number structure of the current situation of regional land use, and obtaining the planning schemes of various types of land in the region and the pixels of the current area The number difference, get the list A of the land type that needs to be transferred into the pixel and the list D of the land type that needs to be transferred out; generate a random position i on the individual to get the neighborhood P; A set Y is obtained from multiple land types appearing in the list A at the same time, and the land type with the largest number of pixels in the obtained set Y is L; the land type change operation is performed on all pixels in the neighborhood P; until the lists A and D are both If it is empty, the initialization process ends and the initial individual is output. The invention improves the generation quality and efficiency of the initial individuals, supports the efficient implementation of the land resource spatial layout optimization scheme of the land use planning, and provides an important guarantee for realizing the rational, efficient and sustainable utilization of the land resources.

The present application relates to the technical field of terrain segmentation and recognition, in particular to a machine vision-based land use planning method, system and electronic equipment. The method includes: collecting topographic image data of the target area; constructing a convolutional neural network model based on "regional convolutional neural network branch + object area full convolution branch"; inputting the collected topographic image data into the "area-based The convolutional neural network model of "convolutional neural network branch + object area full convolution branch", through which the convolutional neural network model extracts the terrain features of each terrain object in the terrain image data, and performs terrain object processing according to the terrain features. Classification and terrain area segmentation: judging the terrain composition of the target area according to the terrain object classification and terrain area segmentation results, and performing land use planning for the target area. This application saves a large number of manual outdoor surveying and mapping operations, and has few restrictions on application scenarios, can be widely used, and has high recognition accuracy.

The invention discloses a method for predicting the average travel distance and road sections prone to congestion according to the planned road network, which comprises the following steps: Step 1: planning the road network and completing land use planning; Traffic generation and traffic absorption on each small plot; Step 3: Distribute traffic generation or absorption to each road; Step 4: Divide road units and mark road unit nodes; Step 5: According to the travel path , to calculate the average travel distance; Step 6: Calculate the average travel distance of the entire road network; Step 7: Predict the traffic volume and traffic volume ratio on each road section unit of the road network; Step 8: Evaluate the planned road network. The invention has the advantage of predicting the average travel distance and the traffic volume on each road during the road planning stage. The change predicts the change of the average travel distance at each stage of urban development and the road sections that are prone to traffic congestion at each stage, reflecting which roads are prone to congestion.