CN-121982160-A - Regional data processing method and device, storage medium and electronic equipment

CN121982160ACN 121982160 ACN121982160 ACN 121982160ACN-121982160-A

Abstract

The present disclosure relates to a data processing method, and in particular, to a method and apparatus for processing regional data, a storage medium, and an electronic device. The regional data processing method comprises the steps of responding to input operation of a user, obtaining regional data of a target region corresponding to the input operation, wherein the regional data comprise topographic data of the target region and soil data of sample side points in the target region, performing rasterization processing on the target region to obtain grid points, determining factor data of micro-site principal factors corresponding to the grid points according to the regional data, wherein the micro-site principal factors comprise topographic factors and soil factors, determining micro-site classification results corresponding to the grid points based on the factor data, and drawing a micro-site type space distribution diagram of the target region based on the grid points and the micro-site classification results. The regional data processing method provided by the invention can conveniently, accurately and intuitively obtain the regional micro-site type division result.

Inventors

CAO YONGXIANG
Kou Xiaomei
JIA GUODONG
Dang nan
Ning Chendong
WANG YUSHI
Zuo Kunjiao

Assignees

中国电建集团西北勘测设计研究院有限公司
北京林业大学

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (10)

1. A method of regional data processing, comprising: Responding to input operation of a user, and acquiring area data of a target area corresponding to the input operation, wherein the area data comprises topographic data of the target area and soil data of sampling points in the target area; performing rasterization processing on the target area to obtain grid points, and determining factor data of micro-site main guide factors corresponding to the grid points according to the area data, wherein the micro-site main guide factors comprise topography factors and soil factors; and determining a micro-site classification result corresponding to the grid point based on the factor data, and drawing a micro-site type spatial distribution diagram of the target area based on the grid point and the micro-site classification result.
2. The area data processing method according to claim 1, wherein when the micro-vertical main guide factor is a terrain factor, the determining factor data of the micro-vertical main guide factor corresponding to the grid point from the area data includes: and carrying out spatial analysis on the topographic data to obtain factor data corresponding to the topographic factors, wherein the topographic factors comprise slope positions, slopes and slope directions.
3. The method according to claim 1, wherein when the micro-scale factor is a soil factor, the determining factor data of the micro-scale factor corresponding to the grid point from the area data includes: extracting initial data of a soil factor based on the soil data, wherein the soil factor comprises soil layer thickness, soil water holding capacity and soil nutrients; And carrying out interpolation analysis on the initial data to obtain a predicted value of the soil factor at the grid point, and taking the predicted value as factor data of the soil factor.
4. A method of regional data processing according to claim 3, wherein when the soil factor is a soil nutrient, the extracting initial data of a soil factor based on the soil data comprises: Extracting soil nutrient content data in the soil data; And comprehensively evaluating the soil nutrient content data by adopting a principal component analysis method to obtain a soil nutrient content comprehensive value serving as initial data of the soil nutrient.
5. The area data processing method according to claim 1, wherein the determining the micro-site classification result corresponding to the grid point based on the factor data includes: pre-constructing a classification threshold corresponding to the micro-site main guide factor; determining a primary classification result of a micro-site main guide factor according to factor data corresponding to the micro-site main guide factor at a grid point and a classification threshold value aiming at the grid point; traversing each micro-site main guide factor to fuse primary classification results corresponding to each micro-site main guide factor to obtain micro-site classification results corresponding to the grid points.
6. The area data processing method according to claim 1, characterized in that the method further comprises: acquiring a micro-site classification system of a main body area where the target area is located; And verifying the micro-site classification result corresponding to the grid point according to the micro-site classification system.
7. The method for processing regional data according to claim 6, further comprising constructing a micro-site classification system of a subject region where the target region is located, the constructing the micro-site classification system of the subject region where the target region is located comprising: combining the micro-site master factors to create a multi-level site classification factor; Acquiring other region data with a time or space corresponding relation with the target region and micro-site classification results corresponding to the other region data; and configuring a mapping relation between the multi-level site classification factors based on the micro site classification results corresponding to the other region data so as to create a micro site classification system of the main region.
8. An area data processing apparatus, comprising: The response module is used for responding to the input operation of a user and acquiring the area data of a target area corresponding to the input operation, wherein the area data comprises the topographic data of the target area and the soil data of sample side points in the target area; the determining module is used for carrying out rasterization processing on the target area to obtain grid points, and determining factor data of micro-site main guide factors corresponding to the grid points according to the area data, wherein the micro-site main guide factors comprise topography factors and soil factors; And the classification module is used for determining a micro-site classification result corresponding to the grid point based on the factor data and drawing a micro-site type spatial distribution diagram of the target area based on the grid point and the micro-site classification result.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the regional data processing method according to any one of claims 1 to 7.
10. An electronic device, comprising: One or more processors; storage means for storing one or more programs which when executed by the one or more processors cause the one or more processors to implement the region data processing method of any of claims 1 to 7.

Description

Regional data processing method and device, storage medium and electronic equipment Technical Field The disclosure relates to the technical field of data processing, and in particular relates to a regional data processing method, a regional data processing device, a storage medium and electronic equipment. Background The hydropower development engineering brings clean energy, and simultaneously causes a series of water and soil loss and ecological problems, the division of the land types is the basis of vegetation recovery, and by dividing different land types, plants can be selected according to the local conditions, and the vegetation configuration can be carried out to improve the technical support. The hydropower engineering is mostly located in the mountain gorge region, traffic is inconvenient, data acquisition is difficult, and the traditional site division method is low in efficiency and poor in precision. It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art. Disclosure of Invention The invention aims to provide a regional data processing method, a regional data processing device, a storage medium and electronic equipment, and aims to solve the problem that a regional micro-site type division result is conveniently, accurately and intuitively obtained. Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure. According to an aspect of the present disclosure, there is provided a region data processing method, including: Responding to input operation of a user, and acquiring area data of a target area corresponding to the input operation, wherein the area data comprises topographic data of the target area and soil data of sampling points in the target area; performing rasterization processing on the target area to obtain grid points, and determining factor data of micro-site main guide factors corresponding to the grid points according to the area data, wherein the micro-site main guide factors comprise topography factors and soil factors; and determining a micro-site classification result corresponding to the grid point based on the factor data, and drawing a micro-site type spatial distribution diagram of the target area based on the grid point and the micro-site classification result. Optionally, when the micro-site main guide factor is a terrain factor, the determining factor data of the micro-site main guide factor corresponding to the grid point according to the area data includes: and carrying out spatial analysis on the topographic data to obtain factor data corresponding to the topographic factors, wherein the topographic factors comprise slope positions, slopes and slope directions. Optionally, when the micro-site main guide factor is a soil factor, determining factor data of the micro-site main guide factor corresponding to the grid point according to the area data includes: extracting initial data of a soil factor based on the soil data, wherein the soil factor comprises soil layer thickness, soil water holding capacity and soil nutrients; And carrying out interpolation analysis on the initial data to obtain a predicted value of the soil factor at the grid point, and taking the predicted value as factor data of the soil factor. Optionally, when the soil factor is a soil nutrient, the extracting initial data of a soil factor based on the soil data includes: Extracting soil nutrient content data in the soil data; And comprehensively evaluating the soil nutrient content data by adopting a principal component analysis method to obtain a soil nutrient content comprehensive value serving as initial data of the soil nutrient. Optionally, the determining the micro-site classification result corresponding to the grid point based on the factor data includes: pre-constructing a classification threshold corresponding to the micro-site main guide factor; determining a primary classification result of a micro-site main guide factor according to factor data corresponding to the micro-site main guide factor at a grid point and a classification threshold value aiming at the grid point; traversing each micro-site main guide factor to fuse primary classification results corresponding to each micro-site main guide factor to obtain micro-site classification results corresponding to the grid points. Optionally, the method further comprises: acquiring a micro-site classification system of a main body area where the target area is located; And verifying the micro-site classification result corresponding to the grid point according to the micro-site classification system. Optionally, the method further comprises constructing a micro-site classification system of the main body area w