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- Title
边坡多场光纤神经感知与安全保障体系.
- Authors
程刚; 张昊宇; 李刚强; 游钦凉; 王振雪; 王子怡
- Abstract
Human engineering activities often lead to slope disasters, significantly impacting the safety of construction personnel and project progress. To obtain real-time status information of slopes, based on optoelectronic joint monitoring technology, multi-field neural sensing such as slope deformation, temperature, seepage, and geoelectricity was carried out to grasp the spatiotemporal continuous state of slopes accurately. By citing technologies such as the internet of things, big data, and artificial intelligence, data cleaning, association mining, and clustering analysis were carried out on multi-fields of information to identify control factors that affect slope stability and analyze the superposition effect of each control factor. On this basis, a slope multi-field safety guarantee system that integrates anomaly perception, information transmission, data processing, and decision warning was established. To identify, evaluate, and warn the potential slope risks, then the scientific decisions and implement emergency plans were made, which provided a reference basis for ensuring the safety of slope engineering, disaster prevention and reduction.
- Publication
Science Technology & Engineering, 2023, Vol 23, Issue 35, p15010
- ISSN
1671-1815
- Publication type
Article