Article Details

Abstract

In the design process for anti-floating in underground engineering, traditional groundwater level analysis and safety assessments have primarily relied on manual experience, lacking unified data management and intelligent analytical methods. This has compromised the scientific rigour of determining the water level for anti-floating fortification. To address these issues, an intelligent expert system for analysing anti-floating water levels in underground engineering has been developed. Integrating Geographic Information Systems (GIS), intelligent analysis algorithms, and visualisation techniques, the system consolidates historical monitoring data from multiple sources such as residential wells and boreholes. This forms an intelligent analysis workflow encompassing water level analysis, risk assessment, and normative standard-assisted determination. By mining groundwater level variation characteristics and conducting trend analysis, the system achieves anti-floating water level calculation and risk identification, while providing intuitive visualised analysis results. Engineering application results demonstrate that this system effectively supports the unified management, intelligent analysis, and visualisation of groundwater data, enhancing the scientific rigour and practicality of anti-floating design decisions.

Keywords

underground engineering anti-floating; intelligent analysis; anti-floating fortification water level; risk assessment

References

1. [1] Guan Jiaojiao, Zheng Yuejun, Cao Xianghui Problems and Countermeasures of Groundwater Resources in China [J]. East China Geology, 2024, 45 (3): 255-263
2. [2] Zhou Yang Development of Automatic Drawing Tool Software for Comprehensive Column Chart of Groundwater Monitoring Wells [J]. Geotechnical Engineering Technology, 2020, 34 (3): 125-129154
3. [3] Chen Jianping, Wang Dong, Liu Yunyan Development and Application of Groundwater Monitoring System Based on Internet of Things [J]. Automation and Instrumentation, 2023 (5): 114-118
4. [4] Liu Wei Application Practice of GIS based Urban Water Resources Management "One Map" System [J]. Surveying and Spatial Geographic Information, 2024, 47 (6): 176-178182
5. [5] Zhang Kewen Research on the Aggregation, Sharing, and Management System of Groundwater Data in Xinjiang Production and Construction Corps [J]. Water Conservancy Informatization, 2023 (5): 97-100
6. [6] Fang Tao, Bian Yingying, Xu Sen, etc Analysis and application of agricultural irrigation groundwater intake monitoring based on hydropower integration big data [J]. Agricultural Science and Technology Innovation, 2025 (17): 60-62
7. [7] Li Yifan, Huang Jingtao, Guan Haiping Wind power missing value filling based on AFCM-KNN [J]. Computer Simulation, 2024, 41 (8): 52-57
8. [8] Chen Weinan, Du Guozhi, Zhang Jian, etc Application of data cleaning method based on 3 σ - SSA in dam intelligent safety monitoring system [J]. Water Resources Planning and Design, 2024 (1): 113-116130
9. [9] Yin Yisu Research on Abnormal Detection Methods for Data Collection in Water Plants [J]. Automation Instrumentation, 2025, 46 (8): 95-100105
10. [10] Shi Jinkun, Duan Zhichang, Wang Jianyou, etc Research on the Adjustment Method of Flood Control Water Level Considering the Overall Risk of Urban Reservoir [J]. People's Yellow River, 2023, 45 (11): 70-74
11. [11] Zhu Hongyu, Wang Kun, Yang Yang Application of InfoWorks ICM in the design of urban road waterlogging prevention and control [J]. Water Resources Planning and Design, 2025 (2): 85-89
12. [12] Xu Xiao Comparative analysis of design surface rainfall calculation methods for Huairou Reservoir watershed in Beijing [J]. Water Resources and Hydropower Express, 2025, 46 (6): 1-6
13. [13] Ma Yanxia, Guo Yuchuan, Li Weixu, etc Optimization of Spatial Interpolation Method for Groundwater Depth in the Kriya River and Analysis of Influencing Factors [J]. People's Yellow River, 2025, 47 (4): 77-83
14. [14] Xu Zhengguang, Ding Hailun, Wu Zhiyong, etc Analysis of the Dynamic Transmission Law and Influencing Factors of Meteorological Drought to Agricultural Drought in Different Climate Regions [J]. Water Resources Protection, 2025, 41 (3): 144-152
15. [15] Gao Yu, Zhang Liyuan, Yang Wentong Temporal and spatial variations of drought in North China and its impact on vegetation NDVI [J]. Chinese Journal of Agricultural Meteorology, 2024, 45 (4): 374-389
16. [16] Zhang Wei, Wang Xuan, Sun Huichao, etc Research on Extreme Rainfall Events in Beijing Based on Multi precision Rainfall Data [J]. Water Resources Protection, 2025, 41 (2): 123-132157
17. [17] Jiang Yuexiao, Party Huihui, Yi Chunyao, etc Research on Groundwater Dynamics Based on Mann Kendall Method: A Case Study of the Upstream of Cuijiaying Hydropower Station [J]. Resources, Environment and Engineering, 2025, 39 (1): 44-50

Funding

Major Science and Technology Project of China Machinery Industry Group Co., Ltd. (ZDZX2023-7); Shaanxi Province "Special Support Program for High level Talents" Science and Technology Innovation Leading Talent Project (TZJH001); Qin Chuangyuan "Engineering Survey Intelligent Drilling Equipment and Technology 'Scientists+Engineers' Team" (2025QCY KXJ-135); Research and Development Project of Shaanxi Provincial Department of Housing and Urban Rural Development (2025-K04); Youth Science and Technology Fund Project of China National Machinery Industry Corporation (QNJJ-PY-2022-20)

About the authors

Liu Shuai (1990-), male, Han ethnicity, from Anyang, Henan, senior engineer, master's student, research interests include digitalization of engineering survey.