46 results about "Rural settlement" patented technology

The invention discloses a rural resident point information extraction method based on a high-resolution remote-sensing image. The rural resident point information extraction method comprises the following steps: firstly, carrying out Canny edge detection on the high-resolution remote-sensing image, and obtaining a vector edge line through chain code tracking; then, carrying out Douglas-Peucker abbreviation on a vector edge to extract straight-line segments, and rejecting shorter straight-line segments and keeping longer straight-line segments according to length constraints; secondly, according to adjacency relation between the straight-line segments and included angle constraints, extracting straight angle points, calculating the density characteristics of the straight angle points within a certain space region range, and generating a straight angle point density characteristic image, wherein the characteristic image and the input high-resolution remote-sensing image have same spatial range and spatial resolution; and finally, carrying out binarization processing on the density characteristic image by utilizing Otsu, extracting rural resident point vector pattern spots through connected component analysis so as to extract rural resident point information. Precision and effects are improved, and robustness and universality are better.

The invention discloses a rural settlement concentrated residential area site selection and optimization method based on GIS. The method comprises the following steps: firstly acquiring a target region space and attribute data based on the GIS, constructing an information amount model to perform rural settlement concentrated residence area land utilization suitability evaluation, superposing the land utilization planning permissible construction area to acquire a candidate site, setting the area size threshold to perform screening, and then optimizing the candidate site by using a P-median problem model. By utilizing the GIS technology, the information amount model is constructed, the rural settlement land utilization suitability evaluation and site selection are quantitatively performed,the P-median problem model in the integer linear programming is used for performing the location optimization, and the site selection demand is flexibly set, the site selection result is positioned tothe parcel; and the candidate site is based on the actual road network, and takes the daily work demand of the farmer after relocation into consideration, so that the distance cost is the minimum, and the method has the advantages of being high in precision and strong in operability.

The invention discloses an active and passive remote sensing data-based rural residential land extraction method. The method comprises the following steps: (1) acquiring data and preprocessing; (2) calculating a normalized differential vegetation index; (3) calculating a normalized difference build-up index; (4) calculating a POLSAR (Polarimetric Synthetic Aperture Radar) dihedral angle scattering component; (5) performing maximum likelihood classification. According to the method, the optical remote sensing and microwave remote sensing information are comprehensively applied, the difference between ground and an object can be more fully embodied through supplementation of advantages and disadvantages of the two kinds of remote sensing information, and the accuracy for rural residential land extraction is greatly improved.

The invention relates to a rural network node radiation domain-oriented rural residential area renovation zoning method. The renovation zoning method comprises the following steps: firstly, establishing a rural social economic network on the basis of a radiation model, then extracting the network centrality, constructing a rural residual area land demand-oriented network node evaluation index, determining a network node radiation domain through generating a rural network weighing Voronoi map, calculating the spatial quantitative relation between the network node radiation domain and rural residential area to determine a rural system and a zoning level, thus forming a rural residential area renovation zoning result through combining the land suitability evaluation of the rural residential area. The method comprehensively considers the practical space action range of rural nodes in the renovation of the rural residential area, integrates the rural social economic network relation into the weighing Voronoi map, thus breaking through the bound limit of the traditional administrative region, solving the deficiency of the current zoning social relevance and space directivity, and improving the renovation zoning scientificity and operability of the rural residential area.

The invention discloses a double-layer domain-oriented intelligent optimal configuration method for rural residential areas. The intelligent optimal configuration method for rural residential areas provided by the invention firstly uses a radiation model to construct a village-town connection network, and generates a village-town weighted Voronoi diagram based on the evaluation of village-town network characteristics. , to identify the central village (town) domain and grass-roots village domain in the spatial planning of the village and town system, and to construct a dual-domain-oriented rural The particle swarm optimization model of residential areas, through the parallel search of particles in the two-layer domain space of villages and towns and the solution of optimization problems, generates an optimal configuration plan for rural residential areas. The invention solves the technical problems of insufficient spatial orientation and difficult coordination of multi-objectives in current rural residential planning, and improves the scientificity and rationality of rural residential planning.

In order to effectively monitor the vacancy phenomenon of a house, the invention discloses a house vacancy monitoring method based on noctilucent remote sensing data, and the method comprises the following steps: 1) cPerforming mutual correction, saturation correction and continuity correction on the DMSP-OLS series images, and performing reprojection, resampling and cutting; 2) extracting urban land and rural residential areas from the land utilization data to serve as built areas, and performing binarization and resampling to obtain built area images of the research areas; 3) calculating a house vacancy index HVI based on the image of the built-up area and the DMSP-OLS image, further monitoring the house vacancy phenomenon in a large scale, and analyzing the space-time distribution characteristics of the vacancy house, and 4) aggregating the obtained house vacancy index in the prefecture-level city to obtain a ghost city index GCI for identifying the ghost city.

The invention discloses a multi-dimensional rural settlement space reconstruction service system and method, and the system comprises a sensing layer which monitors environment parameters in real time, and develops a mobile terminal APP to collect subjective sensing data; performing cleaning, fusion and standardization processing on multi-source heterogeneous data, constructing a rural settlement digital twin base of the heritage area, and performing traceability and tamper-resistant processing on data acquisition; the collaboration layer is used for generating a land utilization conflict degree thermodynamic diagram and evaluating the business state symbiosis degree of the business; quantifying the collaboration degree of each dimension, and identifying protection and development collaboration regions; simulating spatial evolution trends under different reconstruction schemes, and generating a candidate scheme library; the optimization layer is used for constructing a settlement three-dimensional digital twinborn body based on a BIM + GIS technology, designing a'protection-development-sharing 'three-gear adjusting knob, and generating a seasonal adaptability space configuration scheme by applying a genetic algorithm; and a continuous layer: establishing a five-dimensional monitoring index library, predicting a reconstruction effect by applying an LSTM neural network, and dynamically adjusting an optimization strategy according to a monitoring result.

The invention provides a spatial evolution analysis method and device for rural settlement, equipment and a storage medium, and relates to the technical field of environmental science and urban and rural planning. The method comprises the following steps: acquiring land utilization data in a plurality of village and town units in a preset geographic range, and performing time-phased sampling to obtain the land utilization data of each village and town unit in a plurality of time periods; clustering the land utilization data of each village and town unit in each time period, and determining thespace type of each village and town unit in each time period; and according to the space types of the plurality of village and town units in the plurality of time periods, constructing a space evolution sequence of each village and town unit. According to the method, the similarity and difference characteristics between each town individual and the development track trend can be reflected from the spatial evolution rule according to the constructed spatial evolution sequence of each town unit, so that reference is provided for optimizing town settlement land utilization configuration.

The invention belongs to the related technical field of country planning, and discloses a rural settlement classification method and system, and the method comprises the steps of obtaining the rurual geographic information data, and carrying out the preprocessing of the geographic information data, and the geographic information data comprising the vector data of a rural settlement patch, a water body, a road, and an administrative boundary; calculating characteristic parameters of rural settlement based on the geographic information data, and the characteristic parameters comprising scale distribution characteristics, spatial distribution characteristics and morphological distribution characteristics; comparing the feature morphological parameters with corresponding preset thresholds to obtain comparison results, and classifying the comparison results to obtain rural settlement classification. According to the invention, the rural settlement distribution condition is quantized and digitized, then the rural settlement is classified according to the digitized data features, classification is more scientific and accurate, detailed analysis can be performed, and the rationality of rural settlement classification is remarkably improved.

The invention is subsidized by a Public Welfare industry scientific research special project (201411006) of Ministry of Land and Resources to complete. The invention discloses a land resource economical utilization and environmental friendliness integrated evaluation method. The land resource economical utilization and environmental friendliness integrated evaluation method includes the steps: according to urban construction land economical utilization, urban construction land environmental friendliness, rural residential area land economical utilization, rural residential area land utilization environmental friendliness, agricultural land economical utilization, and agricultural land utilization environmental friendliness, respectively establishing evaluation index systems; by means of a multi-factor weighting comprehensive evaluation index system, performing weighted sum on the weight and the standard value of each index, and respectively calculating the urban construction economical utilization degree value, the urban construction land environmental friendliness degree value, the rural residential area land economical utilization degree value, the rural residential area land utilization environmental friendliness degree value, the agricultural land economical utilization degree value, and the agricultural land utilization environmental friendliness degree value of the evaluation units; and obtaining the land economical utilization and environmental friendliness degree of the respective evaluation unit.

The invention provides a rural settlement space form model-based construction method. The method comprises the steps of 1, quantitatively recognizing rural settlement scale, density and shape space form characteristics; 2, dividing the scale and the density into three classes by utilizing a natural breakpoint method; 3, dividing the shape features into regular and irregular types; and 4, combining the space form characteristics by using a combination matrix method. The integrated model can effectively identify the space form of rural settlement, can dynamically observe the spatial evolution situation of rural settlement under the support of continuous data, and provides important support for rural land consolidation and rural planning.

The invention provides a rural settlement evolution prediction method and device, equipment and a storage medium, and belongs to the technical field of urban and rural planning. The method comprises the steps of obtaining space-time attribute data of a to-be-studied target rural settlement unit; determining a driving factor meeting a preset condition as a target driving factor of the target ruralsettlement unit from a plurality of potential driving factors of the target rural settlement unit; according to the target driving factor and the area change value of the target rural settlement unit,determining the size of the effect of the target driving factor on the area change of the target rural settlement unit under the multiple pieces of time-space information; obtaining prediction information of the target rural settlement unit according to the action size; and classifying the target rural settlement units according to the prediction information to determine evolution types of the target rural settlement units. According to the invention, the accuracy of rural settlement unit evolution type prediction can be improved, and rural settlement unit evolution prediction in a multi-objective planning scene is realized.

The invention discloses a block type rural settlement place remote sensing fast labeling method. The method comprises the steps of obtaining a remote sensing image to be labeled, and dividing the remote sensing image into multiple image blocks; primarily labeling the image blocks as settlement place image blocks and non-settlement place image blocks according to a set constraint condition; obtaining the multiple primarily labeled non-settlement place image blocks as a negative sample and one manually labeled image block as a positive sample, and adopting a nearest neighbor classification method to choose the image blocks of a preset number as the positive sample; adopting the positive sample, the negative sample and multiple characteristics and adopting a k-nearest neighbor classification method to gradually remove the non-settlement place image blocks in the settlement place image blocks; gathering the rural settlement place image blocks which have the adjacent rural settlement place image blocks in space together to form multiple agminated settlement place image blocks, judging whether the number of the rural settlement place image blocks in the agminated settlement place image blocks is smaller than a set value or not, if the number is smaller than the set value, adding the agminated settlement place image blocks into the negative sample, or, outputting the corresponding agminated settlement place image blocks.

The invention discloses a rural residential area automatic layout method based on shape grammar and multi-objective optimization, and the method comprises the steps: firstly constructing a rasterized construction cost surface based on the slope data of a research area, a basic farmland protection area vector and an ecological protection red line vector, and then constructing a rasterized construction cost surface based on a traditional residential building sample library and survey data; a shape grammar rule base including a building foundation, courtyard topology, residence number configuration, style and feature control and public service facility coverage is constructed, rule parameters are iteratively optimized by taking a land intensification degree, an ecological interference degree, a style and feature coordination degree and a service coverage degree as optimization targets, an optimal solution set is obtained, and finally, a construction cost surface is taken as a guidance, so that the construction cost is optimized. Performing layout generation in the low-cost constructable area according to the optimal solution generation; according to the technical scheme provided by the invention, a high-implementability rural residential area layout scheme with intensive land utilization, ecological protection and regional style and appearance coordination can be generated under various natural and policy constraint conditions, and the layout generation efficiency is improved.

The invention belongs to the technical field of rural land reclamation engineering, and discloses a progressive rural settlement reclamation zoning method considering multi-dimensional characteristics. A gravity model, a land utilization dynamic attitude model and a space accessibility analysis technology are coupled, multi-dimensional characteristics of rural human settlement interaction dimension, settlement space-time change dimension and space accessibility dimension are comprehensively measured, rural settlement is renovated and partitioned by adopting a progressive partitioning technology, and rapid identification of rural settlement renovating partitions with different scales is realized. According to the method, the problems of data dependence and single scale of a current rural settlement regulation partitioning method are solved, the method does not depend on a traditional evaluation index system, rural settlement regulation partitioning can be rapidly and scientifically carried out, and the method has universality and a good application prospect.

The invention provides a gathering area identification and division method for rural domestic sewage treatment, and the method mainly comprises the steps: collecting territorial geographic data, geographic space data cloud data, rural population data and remote sensing image data; adopting ArcGIS software to process territorial and geographic data to obtain matched administrative boundaries (villages, towns, districts, counties and cities) and rural residential area distribution, generating DEM data and topographic and geomorphic data through geographic space data cloud data, and then coupling the DEM data, the topographic and geomorphic data and rural population data, establishing a rural residential area-rural gathering area-environment sensitive area space corresponding relation, and verifying a result by using a remote sensing image and adopting an on-site verification mode so as to finally obtain resident gathering area distribution conditions of different rural areas. The method can scientifically and efficiently identify the spatial distribution characteristics of the rural residence area, can support rural domestic sewage treatment, and can be used for improving the quality of the rural living environment.

The invention relates to reprocessing of livestock and poultry dying of diseases, and concretely relates to a feed raw material (meat and bone meal), and a preparation method and an application thereof. The meat and bone meal is obtained through the steps of biodegradation bacterium treatment on livestock and poultry dyeing of diseases, and reprocessing. The method is adopted to carry out harmless treatment, so the livestock and poultry dying of diseases can be timely collected and processed in a standardized manner, so the food safety and public health safety risk is reduced; the propagation and spreading probability of animal epidemic diseases is effectively reduced, the health level of animals is improved, and the healthy and stable development of the animal husbandry is guaranteed; environment pollution can be reduced, and the rural settlement environment is improved; and additionally, the livestock and poultry dying of diseases contains abundant proteins and oils, so resource recycling and changing of wastes into valuables can be realized.

The invention belongs to the technical field of residential area ecological evaluation, and particularly relates to a GIS-based hydropower engineering residential area ecological suitability evaluation method. The method comprises the following steps: aiming at the terrain, climate characteristics and social attributes of the residential area of the hydropower project, extracting evaluation factors of ecological suitability of the residential area from multiple aspects of the terrain, the environment, the society, the traffic and the space; adopting an analytic hierarchy process and a Delphi method to analyze the obtained evaluation factors, and constructing a residential area ecological suitability index system; and superposing the spatial data of each evaluation factor by using ArcGIS to obtain a residential area ecological suitability evaluation model, and analyzing the overall ecological suitability of the residential area. According to the method, by obtaining the residential area ecological suitability evaluation model, the relation between hydropower engineering construction and rural residential area development and ecological environment protection can be better evaluated, sustainable development of the regional ecological environment is achieved, and the peaceful industry of reservoir area immigrants is guaranteed.

The invention discloses a rural resident point information extraction method based on a high-resolution remote-sensing image. The rural resident point information extraction method comprises the following steps: firstly, carrying out Canny edge detection on the high-resolution remote-sensing image, and obtaining a vector edge line through chain code tracking; then, carrying out Douglas-Peucker abbreviation on a vector edge to extract straight-line segments, and rejecting shorter straight-line segments and keeping longer straight-line segments according to length constraints; secondly, according to adjacency relation between the straight-line segments and included angle constraints, extracting straight angle points, calculating the density characteristics of the straight angle points within a certain space region range, and generating a straight angle point density characteristic image, wherein the characteristic image and the input high-resolution remote-sensing image have same spatial range and spatial resolution; and finally, carrying out binarization processing on the density characteristic image by utilizing Otsu, extracting rural resident point vector pattern spots through connected component analysis so as to extract rural resident point information. Precision and effects are improved, and robustness and universality are better.

The invention discloses a rural garbage deep-buried bucket layout optimization method based on GIS network analysis. Firstly, the road, the rural residential area and the candidate garbage deep burying bucket location data of the target area are obtained based on GIS; then, under certain constraint conditions, a layout optimization model of a deep-buried garbage barrel is use for layout optimization analysis, the coverage and service rate of deep buried barrels to rural residential areas are counted, whether the two indexes meet the requirements is judged, if not, the candidate types and selection quantity of deep buried barrels are reset, and the optimization model of the layout of deep buried barrels is operated until the coverage and service rate meet the requirements; then the number of garbage deep burial barrels is determined to be the least, the candidate types and quantities of garbage deep burial barrels are reset, the garbage deep burial barrels layout optimization model is continued to run until the number of garbage deep burial barrels is satisfied to be the least, and the final garbage deep burial barrels layout optimization scheme is outputted. The method has the advantages of high precision, strong operability, low layout cost of the garbage deep-buried barrel, and the like.

The invention discloses a rural residential area evaluation method based on a toughness theory. The method comprises the following steps: 1) collecting rural residential area evaluation reference data; 2) calculating a rural residence kernel system toughness evaluation index; 3) calculating the toughness evaluation index of the outer edge system of the rural residential area; 4) performing standardization processing on the rural residential area kernel system toughness evaluation index and the rural residential area outer edge system toughness evaluation index to obtain standardized evaluation indexes; and 5) determining the comprehensive toughness level of the rural residential area based on the standardized evaluation indexes. According to the invention, through overall evaluation of internal and external functional structures of rural residential areas, rural planning is changed from passive constraint to active cooperation, and transformation and upgrading of land space governance from two-dimensional management and control to three-dimensional enabling (space + function + mechanism) are realized. And finally, a benign development pattern that internal functions are used for guaranteeing livelihood base lines and external functions are used for expanding development space is formed.

The invention belongs to the technical field of rural land consolidation engineering, and discloses a progressive rural settlement consolidation zoning method that takes into account multi-dimensional features, coupled with a gravity model, land use dynamics model and spatial accessibility analysis technology, to comprehensively measure the interaction dimension of rural human settlements. Based on the multi-dimensional characteristics of the time-space change dimension and spatial reachable dimension of the settlement, the progressive zoning technology is used to renovate and partition the rural settlements, and realize the rapid identification of the remediation and partition of rural settlements of different scales. The invention solves the data dependence and single-scale problems existing in the current rural settlement improvement and zoning methods. The invention does not rely on the traditional evaluation index system, and can quickly and scientifically carry out rural settlement improvement and zoning, and has universality and good application prospect.

This application belongs to the field of network optimization technology, and specifically relates to a method and device for area recognition, a computer-readable medium, and an electronic device. By extracting the measurement report grid data of the area to be recognized, excluding the grid data of urban areas in the measurement report grid data according to the map of the area to be recognized, rural grid data is obtained. Then, the areas that meet the minimum settlement conditions in the rural grid data are aggregated through a clustering algorithm to obtain the rural settlements in the area to be recognized. Using the method of this application, rural settlements can be recognized based on the measurement report grid data, without the need for time-consuming and laborious on-site monitoring by manual labor, and the recognition efficiency is high. Moreover, the rural settlements formed by screening using the minimum settlement conditions in this application can truly reflect the settlement situation in rural areas, the area recognition is accurate, and the wireless network planning can be better realized based on the rural settlements, improving the network coverage of rural people.

The invention discloses a remote sensing residential area extraction method and system based on multi-source data fusion semantic segmentation, and particularly relates to the field of remote sensing image processing and land utilization mapping. A multi-source fusion automatic labeling strategy is adopted, and a rural residential area pixel-level training label is automatically generated by using an impervious surface product, an open source map interest point and a night light learning area-brightness threshold value; the method comprises the following steps: constructing an SELPFormer lightweight Transform segmentation model, introducing Lite-PPM, SCSE and ELA feature enhancement modules and a lightweight decoder on the basis of SegFormer, and outputting a rural residential spot pixel level extraction result for regional scale rural residential spot mapping.

The invention provides a rural settlement unit information extracting technology based on knowledge discovery QUICKBIRD images, belonging to the technical field of remote sensing thematic information extracting, and aiming at solving the technical problem that: on the remote sensing images with high resolution, the settlement is a complex and various aggregate so that automatic and semi-automatic extracting settlement space unit information has large technical difficulty. The technology is mainly characterized in that: spectrum knowledge of each component of the rural settlement on the QUICKBIRD images is found, and the knowledge is used to initially extract the component information of the rural settlement; and the rural settlement unit information is semi-automatically extracted by using knowledge such as size, space relationship and the like of each component. The area precision of the settlement unit extracted by the technical method achieves to 97.4%, and the space position precision achieves to 90.4%. The method is suitable for semi-automatically extracting the rural settlement unit information from the QUICKBIRD images in plain regions, especially Chengdu plain regions.

The invention discloses an urban and rural settlement space system pedigree construction method and an interactive display system. The method comprises the following steps: inputting urban and rural settlement space system data and constructing an information base; extracting urban and rural settlement space key factor feature information; constructing an urban and rural settlement space system pedigree through key factor hierarchical clustering; and building an urban and rural settlement space system pedigree information platform, inputting a target urban and rural settlement system, automatically calculating characteristic factors of the target urban and rural settlement system, identifying the type of the target urban and rural settlement system, and realizing planning guidance of the urban and rural settlement space system. According to the method, key features of the urban and rural settlement space system can be systematically described, and an efficient and scientific path method is provided for constructing an urban and rural settlement space system pedigree capable of guiding urban and rural settlement system planning based on respective clustering of three hierarchical feature measurement indexes and superposition and screening of clustering results.

The utility model discloses a rural domestic sewage treatment system in a cold and cold mountainous area, which comprises a water collecting well, a sewage treatment tank, an anaerobic biological membrane tank, a gravel contact tank and a water storage tank which are sequentially arranged in the sewage treatment tank, and a water inlet distribution tank communicated with the water collecting well is arranged above an anaerobic reaction area in the anaerobic biological membrane tank. The water inlet distribution groove is provided with an outflow hole communicated with the anaerobic reaction area, an overflow hole is formed in the water collecting well and located above the outflow hole, the overflow hole is provided with an overrunning pipe communicated with the gravel contact pool, a plug board gate matched with the outflow hole is arranged in the water inlet distribution groove, and the water storage pool is connected with a water outlet pipe. The overflow hole is formed in the position, above the outflow hole, of the water inlet distribution groove, and the exceeding pipe is arranged in a matched mode, so that when the water inlet amount exceeds the flow of the outflow hole in the right side, sewage directly enters the gravel contact pool of the next unit from the exceeding pipe connected with the overflow hole to be purified. The sewage treatment mode is adaptively adjusted, and the adaptability is higher.

The invention relates to an urban and rural settlement traditional texture intelligent auxiliary recognition method and system, a terminal and a storage medium, and belongs to the field of urban and rural settlement traditional texture management, and the urban and rural settlement traditional texture intelligent auxiliary recognition method comprises the following steps: obtaining region image information of a target recognition region and a preset region division rule; calling a texture recognition model which is established in advance; recognizing the regional image by using a texture recognition model to obtain a traditional texture regional image in the regional image; and dividing the traditional texture region image according to a region division rule. The method has the effect of improving the recognition convenience of the traditional texture of the urban and rural settlement heritage.

The invention discloses a rural settlement form quantitative analysis method, and relates to the field of rural space planning design, and the method comprises the steps: S1, obtaining a satellite image of a target settlement through public data of a geographic information platform; s2, recognizing a building contour in the image through a deep learning model; s3: carrying out vectorization processing on the building contour to obtain vector space data of settlement; s4, extracting a settlement space topological relation based on the vector space data; and S5, according to a topological relation between the vector space data and the rural settlement space, constructing a rural settlement morphological index system, and according to the rural settlement morphological index system, calculating a morphological quantitative index. The invention also discloses a rural settlement form quantitative analysis system. Automatic processing of rural settlement spatial form data acquisition, spatial calculation and index extraction is realized through the operation module. The method has the advantages of low dependence, high efficiency and the like, and a convenient method and way can be provided for quantitative cognition of rural settlement.

The application discloses a rural settlement remote sensing mapping method, device, equipment and storage medium, wherein the method comprises the following steps: acquiring image data sets of a to-be-measured area, and calculating characteristic wave bands of a first random forest classifier; inputting the characteristic wave bands into the first random forest classifier which is pre-trained, so as to output a pixel-level land cover result map; performing land cover type merging, linear impervious surface removal and raster vectorization processing on the land cover result map, so as to obtain a vectorized land cover vector object map; calculating spatial semantic features of the land cover objects, and acquiring an objectized land use result map based on the spatial semantic features; performing land use type re-labeling and rasterization processing on the land use result map, so as to obtain a rasterized land use result map; and performing category merging on the rasterized land use result map, so as to obtain a rural settlement distribution map of the target area. The application is beneficial to improving the accuracy of rural settlement mapping.