TY - GEN
T1 - IoT-Based Sensor Nodes for Structural Health Monitoring of Bridges
AU - Molina, José Luis
AU - Zhagñay, Darwin
AU - Muñoz, Milton
AU - Guevara, Remigio
AU - González, Santiago
AU - García, Jaime Enrique
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The road infrastructure represents a strategic area for the planification and development of urban and rural environments. In this context, essential facilities such as bridges are subject to damages mainly due to the daily load that represents the vehicular traffic, the environmental conditions and also due to the natural degradation of the structural elements. Therefore, it is fundamental performs a continuous evaluation about the state of an infrastructure. Following, this purpose, this paper presents an architecture for the Structural Health Monitoring (SHM) focused on bridges. The proposal solution involves the application of emerging technologies such as MEMS accelerometers, IoT devices and the deployment of a Wireless Sensor Network topology. Particularly, the architecture implemented consists of a set of ten sensor nodes which are management and synchronized by means of a central station. Furthermore, an additional node with capacity of capture and video recording was implemented Therefore, this last node provides to the system with a visual option for identifying the connection between the accelerations values and the vehicular traffic. In order to evaluated the system, the architecture was deployed along a bridge characterized by a heavy traffic load. Results on the scenario reveals the system allows for determining the main parameters related to state of the structure (i.e., acceleration values, load distribution and the fundamental frequencies of vibration). Consequently, the proposal architecture contributes significantly in the development of solutions focused in the analysis and early detection of damages on essentials structures or facilities.
AB - The road infrastructure represents a strategic area for the planification and development of urban and rural environments. In this context, essential facilities such as bridges are subject to damages mainly due to the daily load that represents the vehicular traffic, the environmental conditions and also due to the natural degradation of the structural elements. Therefore, it is fundamental performs a continuous evaluation about the state of an infrastructure. Following, this purpose, this paper presents an architecture for the Structural Health Monitoring (SHM) focused on bridges. The proposal solution involves the application of emerging technologies such as MEMS accelerometers, IoT devices and the deployment of a Wireless Sensor Network topology. Particularly, the architecture implemented consists of a set of ten sensor nodes which are management and synchronized by means of a central station. Furthermore, an additional node with capacity of capture and video recording was implemented Therefore, this last node provides to the system with a visual option for identifying the connection between the accelerations values and the vehicular traffic. In order to evaluated the system, the architecture was deployed along a bridge characterized by a heavy traffic load. Results on the scenario reveals the system allows for determining the main parameters related to state of the structure (i.e., acceleration values, load distribution and the fundamental frequencies of vibration). Consequently, the proposal architecture contributes significantly in the development of solutions focused in the analysis and early detection of damages on essentials structures or facilities.
KW - Internet of Things
KW - MEMS sensor
KW - Structural Health Monitoring
KW - Wireless Sensor Networks
UR - https://www.scopus.com/pages/publications/85104863094
U2 - 10.1007/978-3-030-68080-0_20
DO - 10.1007/978-3-030-68080-0_20
M3 - Contribución a la conferencia
AN - SCOPUS:85104863094
SN - 9783030680794
T3 - Advances in Intelligent Systems and Computing
SP - 263
EP - 277
BT - Artificial Intelligence, Computer and Software Engineering Advances - Proceedings of the CIT 2020
A2 - Botto-Tobar, Miguel
A2 - Cruz, Henry
A2 - Díaz Cadena, Angela
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th Multidisciplinary International Congress on Science and Technology, CIT 2020
Y2 - 26 October 2020 through 30 October 2020
ER -