CN-122020826-A - Precise earth and stone calculation method integrating BIM and oblique photography technology

CN122020826ACN 122020826 ACN122020826 ACN 122020826ACN-122020826-A

Abstract

The invention relates to the technical field of data processing, in particular to an earth and stone accurate calculation method integrating BIM and oblique photography technology, which comprises the steps of determining an effective working surface area participating in earth and stone measurement, and correcting a real ground surface model according to vegetation canopy parameters and rainfall scouring parameters of the effective working surface area to obtain a first real ground surface model; resampling the BIM design surface model and the first live-action surface model into a plurality of grid units, determining an update weight, determining a first excavation amount according to the elevation difference, the update weight and the single grid area of the first grid unit, wherein the elevation difference is smaller than a first threshold value, and determining a first filling amount according to the elevation difference, the update weight and the single grid area of the second grid unit, wherein the elevation difference is larger than the first threshold value. Thus, the method and the device improve the accuracy of the calculation result of the earth and stone square quantity.

Inventors

TIAN LIANG
GUO XINTING
YANG WEIMING
ZHENG WEILIANG
Ai Micang
FU HUIDE
WANG WENQING
MA MING

Assignees

开信(南京)控股集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260415

Claims (10)

1. The earth and stone accurate calculation method integrating BIM and oblique photography technology is characterized by comprising the following steps of: According to BIM design earth surface model and multi-period real earth surface model of the target area, confirm the effective working surface area to participate in earth and stone side measurement, and revise the real earth surface model according to vegetation canopy parameter and rainfall scouring parameter of the effective working surface area, get the first real earth surface model; Resampling the BIM design surface model and the first live-action surface model into a plurality of grid units, and determining updating weights according to elevation differences, rainfall event performances, loess collapsibility performances and construction road section performances between the surface positions in the first live-action surface model of each grid unit and the surface positions of the BIM design surface model; Determining a first excavation amount according to the elevation difference of the first grid unit, the updating weight and the single grid area, wherein the elevation difference is smaller than a first threshold value; and determining a first filling amount according to the elevation difference of the second grid unit, the updating weight and the single grid area, wherein the elevation difference of the second grid unit is larger than a first threshold value.
2. The method for accurately calculating a land and stone party by combining BIM and oblique photography according to claim 1, wherein the step of correcting the live-action surface model according to the vegetation canopy parameters and the rainfall flushing parameters of the effective working surface area includes the steps of: performing preliminary correction on the live-action earth surface model in each period according to the season in which the effective working surface area is located and the normalized vegetation index to obtain a second live-action earth surface model; And correcting the second live-action surface model according to the local gradient, the maximum-sized rain intensity and the collapsible loess corrodibility coefficient of the effective working surface area to obtain the first live-action surface model.
3. The method of claim 1, wherein resampling the BIM design surface model and the first live-action surface model to a plurality of grid cells comprises: Resampling the BIM design surface model and the first live-action surface model to a unified rule grid to obtain a plurality of grid units.
4. The method of claim 1, wherein determining the update weight according to the elevation difference between the surface position in the first live-action surface model of each grid unit and the surface position of the BIM design surface model, the rainfall event performance, the loess collapsibility performance, and the construction section performance comprises: Calculating the elevation difference between the surface position in the first live-action surface model of each grid unit and the design surface position of the BIM design surface model; Determining a dynamic weight coefficient of each grid unit according to the working condition state performance, the elevation difference, the rainfall event performance, the loess collapsibility performance and the construction road section performance of each grid unit; Determining a second excavation amount according to the elevation difference of the first grid unit, the dynamic weight coefficient and the single grid area, wherein the elevation difference of the first grid unit is smaller than a first threshold value; determining a second filling amount according to the elevation difference of the second grid unit, the dynamic weight coefficient and the single grid area, wherein the elevation difference of the second grid unit is larger than the first threshold value; determining the sum of a preset value, the rainfall event performance, the loess collapsibility performance and the construction section performance as an original context weight; Determining a first net construction settlement amount based on the elevation difference of the first grid unit, the rainfall event performance, loess collapsibility performance, construction section performance, original context weight, the single grid area and the second excavation amount; determining a second net construction settlement amount based on the elevation difference of the second grid unit, the rainfall event performance, loess collapsibility performance, construction section performance, original context weight, the single grid area and the second filling amount; Determining a relative error based on the manually measured cut amount, the manually measured fill amount, the first net construction settlement amount, and the second net construction settlement amount for the effective work surface area; and determining an updating weight according to the relative error, the original context weight, the learning rate and the overall deviation direction parameter.
5. The method for accurately calculating a land stone in combination with BIM and oblique photography according to claim 4, wherein determining the dynamic weight coefficient of each of the grid units according to the condition state performance, the elevation difference, the rainfall event performance, the loess collapsibility performance and the construction section performance of each of the grid units comprises: Determining a standard allowable deviation function value according to a comparison result of the elevation difference and a comparison threshold under the condition that the label expressed by the working condition state of the grid unit is a preset value; and determining a dynamic weight coefficient of each grid unit according to the rainfall event performance, the loess collapsibility performance, the construction section performance and the standard tolerance function value.
6. The method of claim 4, wherein determining the second amount of excavation based on the elevation difference of the first grid cell, the dynamic weight coefficient, and the single grid area, wherein the elevation difference is less than a first threshold value comprises: Determining a first product between an absolute value of an elevation difference of the first grid cell, the dynamic weight coefficient, and the single grid area; superposing the first products of the first grid units to obtain the second square-digging quantity; The determining the second filling amount according to the elevation difference of the second grid unit, the dynamic weight coefficient and the single grid area, wherein the elevation difference of the second grid unit is larger than the first threshold value, comprises: Determining a second product of the absolute value of the elevation difference of the second grid unit, the dynamic weight coefficient and the single grid area; And superposing the second products of the second grid units to obtain the second filling quantity.
7. The method of claim 4, wherein determining the first net construction settlement amount based on the elevation difference of the first grid unit, the rainfall event performance, the loess collapsibility performance, the construction section performance, the original context weight, the single grid area and the second excavation amount comprises: Determining a first contribution rate of a rainfall event, a second contribution rate of geological collapsibility, and a third contribution rate of complexity of a construction section based on the elevation difference of the first grid unit, the rainfall event performance, loess collapsibility performance, construction section performance, original context weight, the single grid area, and the second excavation amount, respectively; And determining a first net construction settlement amount according to the first contribution rate, the second contribution rate, the third contribution rate and the second excavation amount.
8. The method of claim 4, wherein determining the second net construction settlement amount based on the elevation difference of the second grid unit, the rainfall event performance, the loess collapsibility performance, the construction section performance, the original context weight, the single grid area and the second filling amount comprises: Determining a fourth contribution rate of the rainfall event, a fifth contribution rate of the geological collapsibility, and a sixth contribution rate of the complexity of the construction section based on the elevation difference of the second grid unit, the rainfall event performance, the loess collapsibility performance, the construction section performance, the original context weight, the single grid area, and the second fill amount, respectively; And determining a second net construction settlement amount according to the fourth contribution rate, the fifth contribution rate, the sixth contribution rate and the second filling amount.
9. The method of computing a precise earthwork combining BIM and oblique photography of claim 4, wherein determining the relative error based on the manually measured amounts of excavation, manually measured amounts of filling, the first net construction settlement amount, and the second net construction settlement amount for the effective work surface area comprises: calculating an absolute value of a first difference between the first net construction settlement amount and the manually measured cut amount, and an absolute value of a second difference between the second net construction settlement amount and the manually measured fill amount; Calculating a first ratio between the absolute value of the first difference and the manually measured cut and a second ratio between the absolute value of the second difference and the manually measured fill; and determining the relative error according to the first ratio and the second ratio.
10. The method of claim 4, wherein determining the update weight based on the relative error, the original context weight, the learning rate, and the overall bias direction parameter comprises: determining a first sign function according to a third difference between the first net construction settlement amount and the manually measured excavation amount; Determining a second symbol function based on a fourth difference between the second net construction settlement amount and the manually measured filling amount; and determining the corresponding updating weight based on the first symbol function and the second symbol function.

Description

Precise earth and stone calculation method integrating BIM and oblique photography technology Technical Field The invention relates to the technical field of data processing, in particular to an earth and stone accurate calculation method integrating BIM and oblique photography technology. Background In large-scale projects such as surface mines, large-scale water conservancy junctions, mountain highways, intelligent sites and the like, accurate calculation of the amount of the projects dug and filled by the earthwork directly influences the project metering and cost control. The traditional method relies on manual actual measurement, two-dimensional estimation and the like, has the problems of data lag, insufficient precision and the like, is difficult to adapt to the dynamic management and control requirements of complex engineering, and is easy to cause metering deviation. Along with the development of digital construction, a building information model (Building Information Modeling, BIM) and unmanned aerial vehicle oblique photography technology are combined to perform earth and stone side calculation to complement each other. The BIM technology is used for constructing an accurate three-dimensional design model, and the oblique photography technology is used for reconstructing a live-action three-dimensional model through multi-view shooting and restoring a live scene. In some scenes, the BIM and the earth and stone side calculation of oblique photography are fused, the design information carried by the BIM and the oblique photography real scene model are registered and fused, and the lightweight digital twin body in the construction stage is constructed. The method is verified in the scene trial points of surface mines, large water conservancy and the like, is popularized in traffic engineering at a high speed, and is used for metering, cost and management refinement of power-assisted engineering by periodically updating and quantifying the excavation and filling deviation. The existing method adopts a static design model to compare with single-period live-action data, and lacks dynamic response to environmental disturbance in the construction process, so that the accuracy of the calculation result of the earth-rock mass is lower. Disclosure of Invention In order to solve the technical problem of lower accuracy of calculation results of the earth and stone quantity, the invention aims to provide an earth and stone accurate calculation method integrating BIM and oblique photography technology. In order to solve the technical problems, the adopted technical scheme is as follows: The embodiment of the invention provides an earth and stone accurate calculation method integrating BIM and oblique photography technology, which comprises the steps of determining an effective working surface area participating in earth and stone measurement according to a BIM design surface model and a multi-period live-action surface model of a target area, correcting the live-action surface model according to vegetation canopy parameters and rainfall scouring parameters of the effective working surface area to obtain a first live-action surface model, resampling the BIM design surface model and the first live-action surface model into a plurality of grid units, determining update weights according to elevation differences, rainfall event performances, loess collapsibility performances and construction road section performances of the first live-action surface model and the first grid units, determining first excavation weights according to elevation differences, update weights and single grid areas of the second grid units, wherein the elevation differences are larger than a first threshold, and determining first filling weights according to the single grid areas and the elevation differences of the second grid units, the update weights and the single grid units, wherein the elevation differences of the first lattice units are larger than the first threshold. Optionally, correcting the real ground surface model according to vegetation canopy parameters and rainfall erosion parameters of the effective working surface area to obtain a first real ground surface model comprises the steps of carrying out preliminary correction on the real ground surface model in each period according to seasons and normalized vegetation indexes of the effective working surface area to obtain a second real ground surface model, and correcting the second real ground surface model according to local gradient, maximum-hour rainfall intensity and collapsible loess corrodibility coefficient of the effective working surface area to obtain the first real ground surface model. Optionally, resampling the BIM design surface model and the first live-action surface model to a plurality of grid cells includes resampling the BIM design surface model and the first live-action surface model to a unified rule grid to obtain a plurality of grid cells. Optionally, d