An Elevation-Based Automatic Stratification Method for Subgrade Compaction

Abstract

The invention provides a kind of elevation-based subgrade compaction automatic layering algorithm, comprising the following steps: step (1): vehicle modeling; step (2): invalid data filtering; step (3): surface elevation solution; step (4): linear interpolation of discontinuous data; step (5): elevation threshold solution stratification; step (6): construction continuity correction; step (7): layer thickness calculation, the present invention automatically stratifies with compaction data, For the purpose of automatic detection of layer thickness, automatic stratification of compaction data and automatic detection of construction layer thickness are realized through less configuration. The results of automatic stratification and automatic detection of layer thickness have a high accuracy rate.

Description

technical field [0001] The invention relates to the field of elevation-based automatic layering algorithms for roadbed compaction, in particular to an elevation-based automatic layering method for roadbed compaction. Background technique [0002] In the construction of large-scale infrastructure projects such as airports, railways, and highways, it is necessary to fill in layers and compact them in layers to achieve sufficient compactness. It is a key technology in digital construction to carry out automatic stratification and automatic calculation of layer thickness for the construction data of road rollers and other construction machinery and equipment during the implementation of subgrade pressure. Data stratification is an important basic data for later construction quality monitoring. Construction results, 3D visualization modeling, etc. are of great significance. [0003] At present, the existing digital construction products on the market still have shortcomings such...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing digital construction products on the market still have disadvantages such as complex configuration, inconvenient use, low accuracy rate of results, and many manual interventions for the automatic layering of subgrade compaction and automatic detection of layer thickness.

[0004] At present, the layering and layer thickness detection methods in digital construction products are not perfect, and have not substantially reduced the user's work intensity, improved work efficiency, and increased the degree of automation and intelligence.

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