Next Article in Journal
Cost-Effective Electrochemical Activation of Graphitic Carbon Nitride on the Glassy Carbon Electrode Surface for Selective Determination of Serotonin
Previous Article in Journal
MeLa: A Programming Language for a New Multidisciplinary Oceanographic Float
Previous Article in Special Issue
Towards Network Lifetime Enhancement of Resource Constrained IoT Devices in Heterogeneous Wireless Sensor Networks
Open AccessArticle

An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors

Computer Science and Engineering Department, Kyung Hee University, Global Campus, Yongin 17104, Korea
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in A Design of FPGA-based System for Partial Discharge Detection using Advanced Material Sensors. In Proceedings of the 8th International Conference on Green and Human Information Technology (ICGHIT 2020), Hanoi, Vietnam, 5–7 February 2020.
Sensors 2020, 20(21), 6082; https://doi.org/10.3390/s20216082
Received: 20 September 2020 / Revised: 19 October 2020 / Accepted: 22 October 2020 / Published: 26 October 2020
Partial discharge (PD) is a major indicator of various failures in power grid systems. PD exhibits a physical occurrence where a localized electrical discharge happens in insulation materials. This phenomenon causes damage to the insulating parts and, in various circumstances, leads to complete insulation breakdown. As a consequence, it can produce more costly outcomes such as abrupt outages or lost production. Therefore, PD detection plays a vital role in preventing insulation failure. In this work, we propose a system that utilizes heterogeneous sensors for the PD detection along with multi-sensor interface, real-time advanced denoise processing, flexible system operation, and Bluetooth-low-energy (BLE)-based ad hoc communication. Among the variety of heterogeneous sensors, several are developed by the application of nanomaterials and nanotechnology, thus outperforming the regular types. The proposed system successfully identifies the presence of PD from sensor signals using a microprocessor-based processing system and effectively performs an advanced denoising technique based on the wavelet transform through field-programmable-gate-array (FPGA)-based programmable logics. With the development of the system, we aim to achieve a solution with low cost, high flexibility and efficiency, and ease of deployment for the monitoring of power grid systems. View Full-Text
Keywords: partial discharge detection; heterogeneous sensors; MCU; FPGA; ad hoc network partial discharge detection; heterogeneous sensors; MCU; FPGA; ad hoc network
Show Figures

Figure 1

MDPI and ACS Style

Nguyen, P.D.; Vo, H.Q.; Le, L.N.; Eo, S.; Kim, L. An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors. Sensors 2020, 20, 6082.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop