Design of a smart and wireless seismometer for volcanology monitoring

Carreras, Normandino; Moure-García, David; Gomáriz, S.; Mihai, Daniel; Mànuel, A.; Ortiz, R.

doi:10.1016/j.measurement.2016.11.013

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…In [35], the implementation of a seismograph for detecting events in volcanic areas is presented. To this end, the prototype includes an electromagnetic, sensor as well as CO2, temperature and pH sensors.…”

Section: Related Workmentioning

confidence: 99%

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

Muñoz

Guevara

González

et al. 2021

J. Appl. Sci. Eng. Technol. Educ.

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This paper presents and evaluates a continuous recording system designed for a low-cost seismic station. The architecture has three main blocks. An accelerometer sensor based on MEMS technology (Microelectromechanical Systems), an SBC platform (Single Board Computer) with embedded Linux and a microcontroller device. In particular, the microcontroller represents the central component which operates as an intermediate agent to manage the communication between the accelerometer and the SBC block. This strategy allows the system for data acquisition in real time. On the other hand, the SBC platform is used for storing and processing data as well as in order to configure the remote communication with the station. This proposal is intended as a robust solution for structural health monitoring (i.e. in order to characterize the response of an infrastructure before, during and after a seismic event). The paper details the communication scheme between the system components, which has been minutely designed to ensure the samples are collected without information loss. Furthermore, for the experimental evaluation the station was located in the facilities on a relevant infrastructure, specifically a hydroelectric dam. The system operation was compared and verified with respect to a certified accelerograph station. Results prove that the continuous recording system operates successfully and allows for detecting seismic events according to requirements of structural health applications (i.e. detects events with a frequency of vibration less than 100 Hz). Specifically, through the system implemented it was possible to characterize the effect of a seismic event of 4 MD reported by the regional seismology network and with epicenter located about 30 Km of the hydroelectric dam. Particularly, the vibration frequencies detected on the infrastructure are in the range of 13 Hz and 29 Hz. Regarding the station performance, results from experiments reveals an average CPU load of 51%, consequently the processes configured on the SBC platform do not involve an overload. Finally, the average energy consumption of the station is close to 2.4 W, therefore autonomy provided by the backup system is aroud of 10 hours.

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Section: Related Workmentioning

confidence: 99%

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

Muñoz

Guevara

González

et al. 2021

J. Appl. Sci. Eng. Technol. Educ.

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“…Validation of this approach is done through historic data of citations. Some other related work is listed in (Carreras et al 2017;Lee et al 2016;Avallone and Banchs 2016;Cheng and Li 2017).…”

Section: Related Workmentioning

confidence: 99%

Formal model of earthquake disaster mitigation and management system

Zafar

Afzaal

2017

Complex Adapt Syst Model

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Background Wireless sensor and actor networks (WSANs) consist of sensors and actors connected through wireless medium. In the network, sensors are used to sense complex events in an environment and actors take intelligent decisions and perform actions as required. Sensors are cheap devices which have low power batteries, slow processing capabilities and short communication range as compared to actors which are more expensive and powerful in terms of resources. It is noted that actors are capable of sensing the environment but sensors do not have ability to perform any action (Akyildiz and Kasimoglu 2004). As an example from military defence system, sensors detect enemy troops and report to actors which destroy the troops by coordinating with each other. For an effective monitoring and decision making, there must be a continuous sensor-sensor, sensor-actor and actor-actor communication to perform an appropriate action whenever

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“…7,8 Due to the high cost of the deployed instrumentation, this aforementioned interstation distance has only been possible, up to now, for specific research projects 9,10 that involved dense instrumentation using portable equipment for a short period of time. 11,12 Even in countries with dense seismic networks, the station density is not highly adequate. [13][14][15] Current developments on sensor technologies and analog-to-digital converters (ADC) enable the design of low cost, low noise and high resolution seismographs.…”

Section: Introductionmentioning

confidence: 99%

Data-driven performance evaluation of a low-cost seismograph

Krokidis

Vlachos

Avlonitis

et al. 2022

Measurement and Control

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The design and implementation of a performance protocol for local seismicity monitoring, is presented. A low-cost seismograph was installed in an area of high seismic activity in Evgiros, Lefkada Island, Greece, collocated with a high resolution 24-bit digitizer equipped with a broadband seismometer. A testing list of 28 local events with different epicenters and magnitudes has been compiled while acquisition data from the conventional seismograph and the proposed one were analyzed. Stochastic data analysis was used to compare these recordings on the same test site with different logging devices. The obtained results showed a satisfactory outcome in the performance of the proposed low-cost seismograph. Even though noise was present, P and S waves were clearly recorded with distinct amplitudes and therefore this arrival time difference, when compared with the one originating from the conventional seismograph, was found to be insignificant. Moreover, through a known magnitude equation, it manages to calculate earthquake’s local magnitude with a deviation of ± 0.4, a result that can be further improved. Lastly, spectral content analysis revealed almost identical waveforms with equivalent relative frequency distributions between the devices being compared.

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Design of a smart and wireless seismometer for volcanology monitoring

Cited by 8 publications

References 8 publications

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

Reliable Data Acquisition System for a Low-Cost Accelerograph Applied to Structural Health Monitoring

Formal model of earthquake disaster mitigation and management system

Data-driven performance evaluation of a low-cost seismograph

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