Abstract
Nowadays the recent development of new information generation processes in the Internet of Things (IoT) is applied in various factors such as the development of modern sensors, wireless networks, big data applications, automatic monitoring systems, etc. Landslide disaster monitoring is an important and practical direction of Internet of Things technology in a disaster monitoring system, which has the advantages of low cost and mature technology. With the continuous development of IoT technology, standardized data sharing and interoperability have been put forward on the agenda. Based on the Open Geospatial Consortium (OGC) Sensor Thing Application Programming Interface (API) standard, this article analyzes landslide monitoring data sharing and interoperability from the data model, shared service content, and system construction and provides a reference for the standardization of geological disaster data sharing and interoperability regarding IoT applications. Due to the characteristics of a simple layout, strong anti-damage and self-healing ability, self-organization, etc., based on the ZigBee multi-sensor and wireless Mesh network, it is widely used in the data collection and transmission of geological disaster monitoring systems. The experimental analysis is carried out based on various parameters namely computational cost, power utilization, fitness function, danger rate, evacuation time, total travel time as well as root mean square error. Finally, the results conclude that the proposed approach attained better performances in terms of cost, power utilization, and error rate.
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GZ, XL, FZ, YS and GL agreed on the content of the study. GZ, XL, FZ, YS and GL collected all the data for analysis. GZ agreed on the methodology. GZ, XL, FZ, YS and GL completed the analysis based on agreed steps. Results and conclusions are discussed and written together. The authors read and approved the final manuscript.
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Zhang, G., Liu, X., Zheng, F. et al. Geological disaster information sharing based on Internet of Things standardization. Environ Earth Sci 83, 148 (2024). https://doi.org/10.1007/s12665-023-11353-9
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DOI: https://doi.org/10.1007/s12665-023-11353-9