Low-Power IMU System for Attitude Estimation-Based Plastic Greenhouse Foundation Uplift Monitoring

Plastic greenhouses, which account for the majority of protected horticulture facilities in East Asia, are highly susceptible to wind-induced uplift failures that can lead to severe structural and economic damage. To address this issue, this study developed a low-power and low-cost wireless monitori...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 25; no. 22; p. 6901
Main Authors: Park, Gunhui, Park, Junghwa, Jung, Eunji, Lee, Jaehun, Hwang, Hyeonjun, Song, Jisu, Yu, Seokcheol, Lim, Seongyoon, Park, Jaesung
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 12.11.2025
Subjects:
Accelerometers
Agricultural production
Agriculture
attitude estimation
Data transmission
foundation uplift
Greenhouses
inertial measurement unit
LoRa
Microelectromechanical systems
plastic greenhouse
Sensors
structural health monitoring
Transmission Control Protocol/Internet Protocol (Computer network protocol)
Velocity
Wireless communications
South Dakota
South Korea
Massachusetts
China
inertial measurement unit
plastic greenhouse
LoRa
attitude estimation
low-power wireless system
anomaly detection
foundation uplift
structural health monitoring
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary:Plastic greenhouses, which account for the majority of protected horticulture facilities in East Asia, are highly susceptible to wind-induced uplift failures that can lead to severe structural and economic damage. To address this issue, this study developed a low-power and low-cost wireless monitoring system applying the concept of structural health monitoring (SHM) to greenhouse foundations. Each sensor node integrates a MEMS-based inertial measurement unit (IMU) for attitude estimation, a LoRa module for long-range alert transmission, and a microSD module for data logging, while a gateway relays anomaly alerts to users through an IP network. Uplift tests were conducted on standard steel-pipe foundations commonly used in plastic greenhouses, and the proposed sensor nodes were evaluated alongside a commercial IMU to validate attitude estimation accuracy and anomaly detection performance. Despite the approximately 30-fold cost difference, comparable attitude estimation results were achieved. The system demonstrated low power consumption, confirming its feasibility for long-term operation using batteries or small solar cells. These results demonstrate the applicability of low-cost IMUs for real-time structural monitoring of lightweight greenhouse foundations.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s25226901