Research Article
Research and Application of Multi-parameter Automatic Monitoring Technology for Deep Foundation Pits
Jiayan Liu*
Issue:
Volume 11, Issue 5, October 2026
Pages:
251-263
Received:
15 July 2026
Accepted:
26 August 2026
Published:
4 September 2026
DOI:
10.11648/j.jccee.20261105.11
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Abstract: With the rapid growth of deep foundation‑pit engineering, construction‑related risks have become increasingly prominent. Traditional automatic monitoring approaches are difficult to satisfy the demands of wireless transmission and real‑time risk warning, which restricts the risk‑management performance of foundation‑pit projects. To address this limitation, this paper proposes an Internet‑of‑Things (IoT)‑enabled wireless monitoring technique for deep foundation pits, aiming to achieve continuous wireless data perception and intelligent risk early‑warning for excavation engineering. Taking an actual deep foundation‑pit project in Shanghai as the research object, multi‑parameter automatic monitoring, including inclinometer deformation, groundwater level and static leveling settlement, is implemented by the developed IoT monitoring system. Field comparisons against manual observation data verify that the proposed technique can satisfy engineering data‑accuracy specifications. Moreover, it effectively reduces early‑warning response latency and cuts the expenditure on cable‑laying work. This work validates the practicability of low‑power IoT solutions and indicates promising application potential of such technologies in geotechnical monitoring domains.
Abstract: With the rapid growth of deep foundation‑pit engineering, construction‑related risks have become increasingly prominent. Traditional automatic monitoring approaches are difficult to satisfy the demands of wireless transmission and real‑time risk warning, which restricts the risk‑management performance of foundation‑pit projects. To address this lim...
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