| Autor: |
Chien-Chun Wu, Jui-Yi Hsu, Mei-Chi Tseng, Po-Chuan Chi |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Lecture Notes in Civil Engineering ISBN: 9789811521836 |
| DOI: |
10.1007/978-981-15-2184-3_158 |
| Popis: |
With the rapid development of global network infrastructure and communication capabilities, the Internet of Things (IoT) technology has begun to flourish. The IoT technology has been utilized to monitor those man-made slopes with high-risk in this study. According to the monitoring records, the regression analysis was used to investigate the impact of environmental factors such as microclimate on periodic structure displacement, and then normalized records. Those impacts can be dissociated or normalized from records. Through the corrected monitoring data, the real trend of artificial slope is discussed and the advantages of IoT monitoring are brought into play. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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