Project Details
Description
This research work is a proposal for the design and implementation of a prototype station for the monitoring of microsismicity events. This proposal, with a view to the design of a monitoring network, contemplates the use of recent technology, which appreciates the cost per station. The design is based on IoT type devices (Internet of Thing), such as: Accelerometers with MEMS technology (microelectromechanical systems) and small -sized computers (Single Board Computer). The visualization of the data acquired by the sensor will be done remotely, for which a web application based on Node.js will be implemented. The station will have geolocation and monitoring capabilities of performance variables, such as: CPU load, temperature, humidity and energy autonomy (battery level). As for the communication scheme, the appropriate configuration for the future integration of the station in a multi-hop wireless sensor network will be carried out, using the IEEE 802.11 communication standard. The main characteristics of the prototype to be developed are its Open Hardware architecture, open software, small size, portable device, mobility and low cost. These characteristics will allow the application of the prototype in structural health scenarios (study of buildings), to obtain seismic catalogs, as well as in geographical areas of interest (capture of data in the open field). The following sections are detailed: the state of art, objectives, methodology and the work plan for the development of the project.
Call for Applications
16th UNIVERSITY RESEARCH COMPETITION
| Short title | Design and Implementation Monitoring Station |
|---|---|
| Status | Finished |
| Effective start/end date | 1/03/18 → 28/02/19 |
Keywords
- Microsismicity
- Internet of Things (IoT)
- Sensor networks
- MEMS sensors
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Research output
- 1 Article
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A Low-Cost IoT Architecture Based on LPWAN and MQTT for Monitoring Water Resources in Andean Wetlands
González, L. (First Author), Gonzáles, A., González Martínez, S. R. (Corresponding Author) & Cartuche, A. (Last Author), 4 Jan 2024, In: SN Computer Science. 5, 1, 144.Research output: Contribution to journal › Article › peer-review
9 Scopus citations