TinyOS-based real-time wireless data acquisition framework for structural health monitoring and control

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.

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Angle‐Insensitive Fabry–Perot Mechanochromic Sensor for Real‐Time Structural Health Monitoring

Advanced Materials Technologies ◽

10.1002/admt.202100118 ◽

2021 ◽

pp. 2100118

Author(s):

Gijoon Bae ◽

Minseok Seo ◽

Sangjun Lee ◽

Donghyun Bae ◽

Myeongkyu Lee

Keyword(s):

Structural Health Monitoring ◽

Real Time ◽

Health Monitoring ◽

Structural Health ◽

Fabry Perot

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Arrays of Conformable Ultrasonic Lamb Wave Transducers for Structural Health Monitoring with Real-time Electronics

Procedia Engineering ◽

10.1016/j.proeng.2014.11.416 ◽

2014 ◽

Vol 87 ◽

pp. 1266-1269 ◽

Cited By ~ 6

Author(s):

L. Capineri ◽

A. Bulletti ◽

M. Calzolai ◽

P. Giannelli ◽

D. Francesconi

Keyword(s):

Structural Health Monitoring ◽

Real Time ◽

Health Monitoring ◽

Lamb Wave ◽

Structural Health

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

Journal of Applied Science, Engineering, Technology, and Education ◽

10.35877/454ri.asci159 ◽

2020 ◽

Vol 3 (2) ◽

pp. 181-194

Author(s):

Milton Muñoz ◽

Remigio Guevara ◽

Santiago González ◽

Juan Carlos Jiménez

Keyword(s):

Structural Health Monitoring ◽

Data Acquisition ◽

Health Monitoring ◽

Seismic Event ◽

Low Cost ◽

Recording System ◽

Continuous Recording ◽

Remote Communication ◽

Structural Health ◽

Hydroelectric Dam

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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Thermal energy data monitoring system based on data collection of thermal metering equipment of internet of things

Thermal Science ◽

10.2298/tsci2104073p ◽

2021 ◽

Vol 25 (4 Part B) ◽

pp. 3073-3081

Author(s):

Fen Peng

Keyword(s):

Control System ◽

Data Acquisition ◽

Thermal Energy ◽

Data Aggregation ◽

Monitoring And Control ◽

Wireless Data ◽

Monitoring And Control System ◽

And Control ◽

Connection Design ◽

Energy Network

To solve the inaccurate measurement of the traditional thermal energy network, the paper designs a thermal energy network monitoring and control system based on GPS and Ti3367 wireless transmission and reception based on the IoT. First, the paper designs the monitoring and control system?s overall function and topology, including the management layer?s complex functions, the data aggregation layer, and the data acquisition layer. The paper then designs the system?s hardware structure based on the IoT, including the connection design of the hardware circuit structure diagram of the data aggregation layer and the data acquisition layer. Finally, the paper realizes the system?s software flow design, including system initialization and wireless data receiving and sending flow design.

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