252 results about "Spatial analysis" patented technology

The invention provides a multi-mode large model-based precision metal part defect detection method and system. The method comprises the following steps of: acquiring laser scattering image data of a precision metal part in an electromagnetic shielding environment; performing multi-scale spatial analysis on the laser scattering image data to extract a multi-modal image feature set containing a crystal boundary topological structure of the surface of the precision metal part and scattering spot distribution gradient features of the subsurface; converting process parameters, corresponding to the precision metal part, in an existing metal heat treatment process database into heat historical feature vectors, wherein the heat historical feature vectors comprise temperature gradient distribution features and time sequence phase change features; performing fusion processing on the thermal historical feature vector and the multi-modal image feature set through a multi-modal large model to obtain a fusion processing result so as to generate defect detection data; according to the invention, the detection rate and the detection efficiency of micron-sized defects in a complex electromagnetic environment are improved.

The invention provides a remote sensing coastline automatic extraction method and system based on residual space pyramid segmentation and two-dimensional attention, and relates to the technical field of space analysis. The method comprises the steps of high-resolution remote sensing image acquisition and preprocessing, sea-land segmentation network reasoning, probability graph thresholding and edge extraction and vectorization processing. According to the method, the segmentation precision is improved through multi-scale feature aggregation and attention enhancement, coastline vector data with geographic coordinates are generated in combination with edge detection and topological repair, and the method is suitable for spatial analysis and coastline monitoring.

The invention relates to the field of environmental noise monitoring, and discloses a noise monitoring point position automatic determination method fused with a noise map. The method comprises the following steps: acquiring a base map and sound source data of a target area, layering the base map according to a preset interval in a vertical direction, and carrying out gridding processing to obtain a three-dimensional grid; performing spatial analysis on the sound source data to obtain a sound source intensity matrix, and mapping the sound source intensity matrix to a three-dimensional grid to obtain a three-dimensional noise map; the base map comprises building structure data; performing three-dimensional path exploration on the three-dimensional noise map based on an ant colony algorithm to obtain a noise hotspot path and a pheromone concentration distribution diagram; and carrying out site selection analysis based on a genetic algorithm on the noise hotspot path and the pheromone concentration distribution diagram to obtain a Pareto optimal monitoring site set, the Pareto optimal monitoring site set being used for indicating site selection of the noise automatic monitoring site. By adopting the method, accurate and efficient automatic noise monitoring site selection in a complex urban environment can be realized, and the urban noise monitoring and treatment level is improved.

The invention relates to the technical field of geological analysis, and discloses a method for fusing a three-dimensional geological model and a WebGIS (Web Geographic Information System), aiming at solving the problems of poor data intercommunity, limited spatial analysis capability, difficulty in real-time updating and low model loading efficiency of the existing method, and the scheme mainly comprises the following steps: extracting geological model data, and carrying out standardized format processing; lightweight processing is carried out, and geological attributes and model nodes are bound one by one; the format is converted into a binary format embedded with a metadata label, and data integrity verification and automatic error correction are carried out in the conversion process; constructing a non-uniform adaptive octree spatial index, a multi-level attribute data architecture and a real-time updating mechanism of attribute data; after the geological model and the terrain are precisely registered and fused, a dynamic loading mechanism, a high-performance rendering mechanism and a geological model real-time updating mechanism are constructed, and a three-dimensional geological analysis tool is integrated. According to the method, efficient loading, real-time rendering, dynamic updating and spatial analysis of the three-dimensional geologic model in the WebGIS are realized.

The invention discloses an alpine grassland no-tillage restoration suitability evaluation method based on a 3S technology, and particularly relates to the technical field of data processing. Through the combination of multi-temporal satellite images and global positioning system data, the spatial dynamic change of the frozen soil layer of the alpine grassland and the long-term influence of the spatial dynamic change on vegetation growth are accurately obtained, and a frozen soil layer depth and distribution dynamic monitoring model is constructed based on multi-source remote sensing data and historical weather and soil temperature and humidity data. Analyzing the influence of freezing and thawing alternation on plant root growth; establishing a vegetation recovery potential index and a soil moisture supply index by combining the vegetation coverage and the dynamic change of the frozen soil layer, and generating a suitability partition map through a GIS spatial analysis and analytic hierarchy process; through field sampling and long-term vegetation growth monitoring data verification and model optimization, the accuracy of no-tillage restoration suitability evaluation is remarkably improved, and scientific and accurate decision support is provided for ecological restoration of alpine grassland.

The invention discloses a refined fourth-century three-dimensional geological modeling integration method which comprises the steps that basic geological data and drilling data of a research area are acquired, and the basic geological data comprise bedrock geological data and fourth-century geological data; the drilling data is modeled by a triangulated irregular network, and the basic unit of the triangulated irregular network is GTP; performing standardization processing on the drilling data; carrying out fourth stratigraphic division on the research area according to the basic geological data; dEMs of stratum interfaces are sequentially established from the earth surface to the underground according to the drilling data, sewing processing is conducted on the adjacent DEMs belonging to the same stratum, and a three-dimensional stratum model based on the multiple layers of DEMs is formed; dividing the GTP into TEN, and according to the three-dimensional stratum model based on the multilayer DEM, taking the TEN as a basic voxel, and constructing a fourth-century three-dimensional geologic model based on MD-GTP-TEN; the model constructed by the invention can express the geologic body more accurately and perform spatial analysis more efficiently.

The invention discloses a reservoir identification method fusing seismic attribute inversion and ancient karst form modeling, and relates to the technical field of reservoir identification and modeling, and the method comprises the steps: carrying out the multi-modal fusion processing of a standardized image data set through an image sensor, obtaining the multi-modal fusion image data, executing the high-precision texture sampling and space alignment processing, and obtaining a multi-modal image data set; generating a cross-modal image fusion matrix; inputting the cross-modal image fusion matrix into an image topological graph structure construction process, establishing an image block node relationship and a spatial connection edge weight, and generating an ancient karst topological graph; and coupling the karst earthquake joint matching graph with the comprehensive reservoir attribute data, establishing an effective reservoir evaluation model, and generating a multi-stage reservoir prediction layer set through weighted fusion and multi-parameter spatial analysis. By constructing an ancient karst topological graph and a karst earthquake joint matching graph, spatial modeling of a complex karst structure and cross-modal correlation analysis of earthquake abnormal attributes are realized.

The invention discloses a method for analyzing the influence of railway tunnel construction on urban underground water, which belongs to the field of railway tunnel construction and comprises the following steps: S1, acquiring and preprocessing multi-source data; s2, constructing a geology-hydrology-construction-remote sensing multi-dimensional feature vector, and extracting an underground water disturbance index; s3, establishing a stress-seepage-heat conduction three-field coupling model; s4, analyzing a three-field coupling effect based on the three-field coupling model, and outputting a comprehensive risk level of the influence of tunnel construction on underground water; s5, fusing a comprehensive risk level by utilizing a GIS spatial analysis function, and combining real-time data to realize spatial visualization and graded early warning of underground water influence; and S6, geological parameters of the three-field coupling model are updated in real time, and an optimal construction parameter combination is searched. By adopting the method for analyzing the influence of the railway tunnel construction on the urban underground water, the scientificity and engineering practicability of analyzing the influence of the railway tunnel construction on the urban underground water are remarkably improved.

The innovation is the Landscape Syntax Algorithm, a new analytical framework to transcend the age-old limitations of space syntax. It integrates the highly versatile idea of landscape. Space syntax is largely objective and deals with the arrangement of space, along with little or no consideration for the more subjective parts of human aspects and experiences. Thus, the Landscape Syntax Algorithm fills that gap by providing a model that marries objective spatial measures with the more subjective cognitive and experiential aspects of landscape. This is carried out by infusing perceptual cognition and history / contextual layers within spatial analysis. Hence, there is a thorough reading of the relation between human experience and the built world. It opens up the opportunity to unify the most objective spatial configuration and subjective perceptual cognition to provide a powerful resource for the architect, urban planner, or researcher interested in analyzing and designing spaces that connect to the human experience in a more profound and mature sense. This invention enables quantification and analysis of landscape as moving and interactive phenomena towards a much more human-oriented contextual design of space.

The invention relates to the technical field of synthetic aperture radars, discloses a method for monitoring activity of a high-order loose body based on multi-source SAR data, and aims to solve the problem that an existing high-order loose body activity identification mode is poor in accuracy. Obtaining multi-source SAR data and carrying out adaptive preprocessing; extracting a maximum back scattering feature and quantifying activity; carrying out activity identification and multi-scale feature analysis on the high-position loose body; and comprehensively evaluating the multi-dimensional risk of the movable high-position loose body. Through organic combination of multi-track collaboration, fine feature extraction and multi-dimensional model evaluation, an effective scheme is provided for solving the problems that early recognition of the high-position loose body in the alpine and valley region is difficult and risk evaluation is inaccurate, and the accuracy and timeliness of monitoring and early warning are remarkably improved.

The invention relates to the technical field of underwater robots, in particular to an underwater robot cluster path planning method and system based on a dung beetle algorithm, and the method comprises the steps: obtaining a coordinate division region to construct an environment model, calculating and extracting an obstacle distance to fuse ocean current interference to generate a dynamic obstacle avoidance strategy, and evaluating the path speed similarity to generate a candidate path. And acquiring an offset angle difference, normalizing environmental factors to generate a correction path, and calculating a curvature fusion collision probability to generate a global path control instruction. According to the method, a dynamic model is constructed based on Cartesian coordinate division, the spatial analysis precision is improved, a sonar distance and ocean current interference are fused to generate a dynamic obstacle avoidance strategy, the trajectory smoothness is enhanced, candidate paths are screened by using vector similarity and Monte Carlo simulation, the collaboration is optimized, disturbance is reduced through coordinate offset and ocean current correction, and the accuracy of the dynamic obstacle avoidance strategy is improved. The curvature and collision probability are combined to balance safe energy consumption, and multi-dimensional parameter fusion improves cluster adaptability, precision, efficiency and energy utilization rate.

The invention relates to the technical field of geological early warning, in particular to a dangerous rock mass instability analysis method, system and equipment based on a space-time diagram neural network, by fusing unmanned aerial vehicle LiDAR, multispectral data, meteorological radar data and the space-time diagram neural network (ST-GNN), the system realizes sub-meter spatial resolution and minute-level time response, and the stability of dangerous rock mass instability analysis is improved. The four-dimensional (time and space) analysis result of the instability probability of the dangerous rock mass is obtained through high-precision space-time modeling, the problems that a traditional geological disaster early warning system is low in resolution ratio, slow in response and high in misinformation are solved, the comprehensiveness, accuracy and reliability of instability prediction of the dangerous rock mass are improved, and the early warning effect is good. And full-chain intelligent closed-loop management of real-time data acquisition-dynamic prediction-early warning push-feedback optimization is supported, the emergency decision time is shortened by real-time rainfall superposition risk thermodynamic diagrams, and the attenuation rate of long-term prediction precision is reduced by dynamically fusing newly added geological data and instability events through incremental learning.

The invention discloses a wave energy array development site selection method, which belongs to the field of wave energy development and utilization, and comprises the following steps of: 1) processing geographical distribution data by utilizing a GIS (Geographic Information System) spatial analysis method to obtain a limited development area graph layer; and 2) constructing an evaluation index system of wave energy array development site selection, and carrying out standardization processing to obtain a comprehensive evaluation result. And 3) calculating an offshore distance, and generating a refined developable range layer. And 4) carrying out wave direction statistical analysis in the developable range to obtain an array development range. And 5) on the basis of determining the array development range of the target sea area, determining a potential development site. 6, quantitative analysis and trend analysis of the array development capability are carried out with the potential development site as the center point, and the key development site is determined.According to the method, multi-dimensional evaluation indexes such as environment compatibility, resource endowment, technical feasibility and economic rationality are integrated, and a scientific basis is provided for array development site selection of the wave power station.

The invention provides a geological disaster monitoring method based on BIM and LiDAR combination. The method specifically comprises the steps that coordinate conversion from a BIM model to LiDAR point cloud data is carried out; bIM + point cloud three-dimensional space analysis is carried out, and the spatial position relation between the surface collapse area and the tunnel is calculated; carrying out multi-time sequence LiDAR point cloud earth surface monitoring, and carrying out filtering classification on the ground point cloud of each time sequence to obtain real ground feature points; through point cloud space distance analysis, the 3D deviation of surface deformation is obtained and is used as a supplement of a foundation SAR monitoring result. Therefore, the spatial position relation between the ground collapse area and the tunnel can be accurately obtained. Belongs to the field of geological disaster monitoring and rescue.

The invention relates to a grassland ecological degradation recovery effect dynamic evaluation method and device, equipment and a medium, and the method comprises the steps: obtaining interannual remote sensing data for a target region, carrying out the vegetation feature extraction of the interannual remote sensing data based on the sliding operation of a predetermined window on the interannual remote sensing data, and obtaining a reference time sequence; calculating the relative change rate of vegetation in the target area based on the reference time sequence; and according to the relative change rate and a preset threshold value, evaluating the degradation or recovery condition of the vegetation in the target area. According to the method, the optimal spatial analysis scale, namely the window, is determined according to spatial heterogeneity characteristics (semi-variable function range), adaptive conversion from the pixel to the landscape scale can be realized, subjective interference can be eliminated, a reference time sequence reflecting vegetation characteristics can be accurately determined on the basis of the window, and the method has the advantages of being simple in structure and convenient to operate. And the degradation or recovery condition of the target area can be accurately evaluated based on the reference time sequence.

The invention discloses a multi-disaster chain type marine disaster risk assessment method based on regional disaster-bearing body distribution, relates to the technical field of marine disaster prevention and control, and aims to clarify the range of a research region, extract all disaster-bearing bodies in the research region, analyze the interaction relationship of the disaster-bearing bodies and establish an association probability matrix. By integrating a disaster chain theory, a probability statistical model and GIS spatial analysis, systematic identification and quantification of multi-disaster chain type marine disaster risks are realized, a logical relationship among a native event, a secondary event and a derivative event is defined, a disaster chain type structure chart is constructed, the total probability of a disaster-bearing body is calculated through a probability iterative algorithm, and the risk of the multi-disaster chain type marine disaster risk is identified and quantified. According to the method, direct and indirect conduction risks are comprehensively reflected, individual risk values are calculated in combination with disaster-bearing body vulnerability, and disaster chain overall risk values are generated through superposition, so that the limitation of isolated analysis of a single disaster in a traditional method is avoided, and complex interaction and cumulative effects of a disaster chain can be more comprehensively captured.

The invention discloses a risk zoning method for active fault engineering influence, which relates to the technical field of engineering construction evaluation, and comprises the following steps: I, fusing multi-source data of a detection fault, constructing a three-dimensional geometric model of the fault, and analyzing and correcting a fault distribution rule by utilizing a GIS (Geographic Information System) space; iI, combining fault sliding rate, paleoearthquake recurrence period and deep engineering crustal stress inversion, and evaluating activity characteristics of the hidden fracture in the engineering service period. Through multi-source data fusion, three-dimensional model construction and GIS correction, multi-factor overlay analysis and a dynamic correction mechanism, multivariate characteristics of the active fault and complex geological conditions of an engineering site are comprehensively considered, the problem of limitation of a zoning result is solved, the accuracy of risk assessment is improved, limitation of a single index is broken through, and the risk assessment efficiency is improved. Closed-loop management of data acquisition-risk assessment-engineering response is realized, and scientific and reliable technical support is provided for safe site selection, optimization design and operation and maintenance of major infrastructures.

The invention discloses a wind power plant micro-siting assessment method based on spatial analysis and climate adaptability, relates to the technical field of wind power plant siting, and solves the problems that in the prior art, spatial analysis depends on static topographic data, climate adaptability assessment uses dynamic meteorological data, and the static topographic data and the dynamic meteorological data lack a space-time synchronization mechanism; and a prediction result has a large deviation. The method comprises the following steps: firstly, acquiring multi-source data and fusing to realize time-space synchronization of the data; then, constructing and solving an objective function to obtain a candidate point set, and screening out an optimized point distribution scheme of which the prevailing wind direction coverage is greater than a set threshold value; and finally, inputting prediction data of various extreme climates into the cost-per-kilowatt-hour model, introducing extreme climate toughness parameters into calculation to carry out climate adaptability data correction, and calculating return on investment cycles under different carbon emission scenes. Through the steps, the limitation that only static wind resources are concerned on traditional site selection is broken through, and combined evaluation of the regional climate adaptability and the complex terrain adaptability is achieved.

The invention discloses a map database-based land type map spot storage and analysis method and system. The method comprises the following steps of: acquiring and processing data; storing data; monitoring pattern spot type distribution analysis; performing annual change investigation pattern spot and land type change analysis; and reading and displaying data. According to the method, spatial analysis is carried out on land type change monitoring pattern spots and annual change investigation pattern spots, and a method based on a pattern database is designed to store analysis results; the incidence relation and important attributes of the change monitoring pattern spots and the annual change pattern spots can be expressed on a visual platform, and the monitoring type distribution condition and the annual change survey of the change conditions of different land types in a certain space range are analyzed; according to the storage and analysis method, the internal relation between the change monitoring pattern spots and the annual change pattern spots is visually presented, the effectiveness of change monitoring pattern spot analysis is improved, the data value of the monitoring pattern spots is deeply mined, natural resource data analysis and application are facilitated, and planning and decision making of related departments of the natural resource industry are supported.

The invention provides a high-precision road network topology model construction method based on multi-source data fusion, and belongs to the technical field of traffic transportation information processing, and the method comprises the steps: obtaining traffic industry management data, open source map data and map provider navigation data, carrying out the data fusion, and obtaining fusion data, constructing a topological network to perform validity and connectivity verification, and performing processing by using a fracture stitching algorithm to generate a road network topological structure; inheriting and standardizing attribute fields according to a road section space overlapping relation to obtain a structured attribute set, and optimizing by utilizing a space analysis algorithm and structural logic judgment to obtain an optimized road network topological structure; and combining the structured attribute set with the optimized road network topology structure to obtain a high-precision road network topology model. According to the method, the problem that a set of universal, efficient and iteratively-updated data fusion and topology modeling framework is lacked in existing high-precision road network topology model construction is solved.

The invention relates to the technical field of big data processing, in particular to a hydrological information forecast data collection automatic processing method, which comprises the steps of multi-source data automatic acquisition and access, data quality intelligent diagnosis processing and abnormity early warning, multi-index comprehensive drought evaluation model construction and drought trend intelligent prediction. GIS spatial analysis and visual display are carried out, and drought evolution is dynamically reflected; and user-defined configuration and adaptive learning are carried out. The equipment state can be displayed, and related personnel can be prompted to maintain the observation station in time; existing hydrological data of the hydrological bureau are fully applied, rainfall, river flow, soil moisture content and other single items are normatively determined to determine the drought level, and meanwhile, according to multiple indexes, comprehensive drought judgment is performed according to the proportion, and based on the GIS technology, an interpolation method and a proximity association method are utilized to determine a Xinjiang whole administrative division plane drought map; and according to the analysis data, automatically sorting out soil moisture content brief report materials.

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention discloses a power grid unmanned aerial vehicle inspection method suitable for a complex terrain area, and the method comprises the steps: S1, obtaining the terrain point cloud data and image data of the complex terrain area, and forming a three-dimensional terrain model; s2, performing overlay analysis on the power grid layout information and the three-dimensional terrain model through a geographic information space analysis technology, and planning a flight route of the unmanned aerial vehicle; s3, performing routing inspection according to the flight route and an unmanned aerial vehicle power grid global coverage routing inspection technology to obtain original power grid image data; s4, transmitting the original power grid image data to a ground control station through a wireless communication link, and processing the original power grid image data through deep learning to obtain defect positions and types; and S5, generating an inspection report according to the position and the type of the defect, and pushing the inspection report to operation and maintenance personnel through network communication for equipment maintenance and fault processing. The problems of low efficiency, high labor cost, incomplete data acquisition and inaccurate defect identification in complex terrains are solved, and the efficiency and accuracy of power grid inspection are improved.

The invention discloses an ecological environment intelligent pre-auditing method based on partition management and control and capacity control, and relates to the technical field of ecological environment informatization management. According to the method, parallel superposition is carried out on multiple types of ecological environment sensitive layers, dimension reduction processing and weighted integration are carried out on the multi-dimensional space conflict factors through principal component analysis, a quantifiable ecological sensitivity risk score is generated, the single logic that a traditional method can only judge whether overlapping exists or not is effectively overcome, fine expression of multi-layer composite conflicts is achieved, and the risk assessment efficiency is improved. And the resolution and judgment basis of spatial analysis are enhanced. A pollution factor-control unit-emission period three-dimensional capacity comparison model is established, and for capacity accounting requirements of multiple pollutant types, multiple space areas and multiple time dimensions, limitation of static threshold comparison of a traditional method is broken through, and dynamic adaptability and accuracy of capacity evaluation under a complex emission structure are realized.

The invention provides an extraction system and method for laser point cloud longitudinal and transverse section data, and relates to the technical field of surveying and mapping engineering and computer aided design, and the system comprises a normal production module which is used for analyzing midline data, and generating a first normal file with coordinate information and a second normal file with attribute information; the point cloud processing module is used for constructing a ground surface model, projecting the first normal file to the ground surface model to calculate three-dimensional coordinate information of the normal file, and outputting a third normal file with the three-dimensional coordinate information; and the section production module is used for generating section data and longitudinal section data in preset formats according to the second normal file and the third normal file. The system has high flexibility on the premise of ensuring data precision, is suitable for design, construction and monitoring of linear projects such as roads, railways and pipelines and spatial analysis and decision support in a geographic information system, and can realize efficient and accurate extraction and application of laser point cloud data.

The invention discloses a fishing boat automatic positioning early warning method and system based on Beidou navigation, and belongs to the technical field of Beidou navigation, and the method comprises the steps: collecting positioning data in real time, extracting a signal-to-noise ratio abnormal fluctuation rate and a positioning satellite number change rate abnormal value, building a multi-path error grade evaluation model, and carrying out the automatic positioning early warning of a fishing boat. Error grades are divided, and potential error areas are identified in combination with geographic space analysis; for a moderate error section, a signal quality dynamic weighted interpolation method is adopted to reconstruct a track, and finally corrected track data and early warning information with a label are output, so that a more accurate risk judgment basis is provided for a fishery administration supervision platform, high-robustness processing and intelligent early warning of positioning data in a complex environment are realized, and the accuracy of risk assessment is improved. And the accuracy and reliability of offshore operation supervision are improved.

The invention discloses a land subsidence volume calculation method. The method comprises the following steps: acquiring land subsidence real-time monitoring data; performing spatial analysis on the land subsidence real-time monitoring data to generate a land subsidence amount thematic map; drawing a polygonal region on the land subsidence volume thematic map according to user requirements, and obtaining the land subsidence volume and area of the polygonal region; and calculating the settlement volume in the polygonal region according to the ground settlement volume and the area of the polygonal region, and visually displaying the settlement volume. According to the method, the online mapping of the monitoring data of the land subsidence point is realized at the Web end, so that the real-time monitoring data can be quickly converted into a visual spatial distribution diagram, and a user can quickly understand and analyze the dynamic change of land subsidence. And a land subsidence volume calculation result provides technical support for timely discovering land subsidence abnormity and managing, preventing and controlling geological safety risks of urban operation.

The invention provides a quantitative evaluation method for suitability of plot-level water resources, which comprises the following steps: collecting rainfall data and evaporation data of a meteorological station in a research area, and generating rainfall and potential evaporation data of a target grid unit through a spatial interpolation method; calculating the actual evaporation capacity of the target grid unit, and constructing a water supply accessibility evaluation index according to the distance between the target grid unit and the potential water source and the required water diversion distance; determining the water supply convenience of the target grid unit based on the water supply accessibility evaluation index, superposing the influence of rainfall, constructing a water resource suitability evaluation model, and obtaining a water resource suitability quantitative evaluation result of the target grid unit; according to the method, multiple factors such as rainfall, evaporation and irrigation water accessibility are considered, quantitative evaluation of water resource conditions is achieved, and the method can be used for spatial analysis and planning of regional water resource suitability.

The invention relates to the field of geothermal water detection, and discloses a geothermal water supply source and circulation depth calculation and determination method, which is used for solving the problem of result deviation caused by influence of bottom layer heat conductivity change during geothermal water source and depth determination, and comprises the following steps of: calculating a representative index of each geothermal well; selecting a representative geothermal well according to the representative index, collecting a final geothermal water sample of the representative geothermal well, carrying out water chemical analysis on the final geothermal water sample, carrying out isotopic tracing analysis on the final geothermal water sample according to a water chemical analysis result, and regularly measuring hydrogen isotope values of a plurality of rainfall sampling points. The gradient of the hydrogen isotope changing along with the elevation is obtained, the geothermal water supply elevation is calculated according to the elevation effect of the hydrogen isotope, a distributed hydrological model is combined with GIS space analysis, the supply area range is optimized, and the scientificity and rationality of geothermal resource development are effectively improved.

The invention discloses an outdoor space public facility layout optimization method based on big data analysis, and belongs to the field of outdoor space public facility layout optimization, and the method comprises the steps: predicting the number of participants in a data set based on demands, and combining the illumination intensity, wind direction, temperature and rainfall in a comprehensive data set, calculating a meteorological suitability score of each region, and generating a preliminary facility layout data set including candidate position points and meteorological suitability scores thereof; on the basis of the adjusted candidate position data set, in combination with the average decibel value of each region, spatial analysis is executed, position points with the average decibel value lower than 60 decibels are screened, and an optimized position data set is generated and comprises the position points, a meteorological suitability score and a noise level; and based on the optimized position data set, in combination with the facility coverage range and the construction and maintenance cost, calculating the facility number and type of each region, and generating a facility layout planning data set including a facility configuration list of each region.