Research on Engineering Geological Prediction Technology of Western Wind Farm Area Based on Artificial Intelligence

The problem of green construction in wind farm areas has always been a research hotspot. We use artificial intelligence algorithm to predict the civil construction conditions and achieve good results. This paper studies the soil quality in the western wind farm area to maximize the soil and water conservation goal. This paper summarizes the hidden defects of the survey technical achievements in the previous survey work. It improves the survey technical work contents in combination with the project's specific engineering geology, hydrogeological conditions, and climatic environment characteristics. The results obtained are verified and reliable and can be used as a reference according to the conditions of flat roof engineering in the salt soil collapse area. In this study, the correctness of the method is verified by comparing the AI algorithm with the measured results.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733020
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Engineering Geological Prediction Technology of Western Wind Farm Area Based on Artificial Intelligence

Caoqi Zhang, Wenjin Zheng, Sen Zhang
Geological Modeling and Analysis
article

Research on Engineering Geological Prediction Technology of Western Wind Farm Area Based on Artificial Intelligence

Caoqi Zhang, Wenjin Zheng, Sen Zhang
article en

Abstract

The problem of green construction in wind farm areas has always been a research hotspot. We use artificial intelligence algorithm to predict the civil construction conditions and achieve good results. This paper studies the soil quality in the western wind farm area to maximize the soil and water conservation goal. This paper summarizes the hidden defects of the survey technical achievements in the previous survey work. It improves the survey technical work contents in combination with the project's specific engineering geology, hydrogeological conditions, and climatic environment characteristics. The results obtained are verified and reliable and can be used as a reference according to the conditions of flat roof engineering in the salt soil collapse area. In this study, the correctness of the method is verified by comparing the AI algorithm with the measured results.

PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Geological Modeling and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.