Augmented Reality Based Transformer Fault Detection and Indicating System
M. Anto Bennet1, S. Mahalakshmi2, Narla Venkata Vyshnavi3, N. Haritha4, K. Aishwarya5
1M. Anto Bennet, Professor, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
2S. Mahalakshmi, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
3Narla Venkata Vyshnavi, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
4N. Haritha, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
5K. Aishwarya, UG Student, Department of Electronics and Communication Engineering, Vel Tech, Chennai (Tamil Nadu), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 07 May 2019 | PP: 182-187 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1036376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The augmented reality has become the advancement of technology and that we are utilizing it to boost the benefits of this work. It is renowned that the technological advancements are increasing at a quicker pace. However, the employment of technologies in numerous sectors is extremely low. It is common that individuals from EB stations notice it terribly troublesome to research the fault incidence in transformers. It become a tedious method for them to manually analyze the fault of the transformer. Thus, we employ the concept of augmented reality for detecting the fault of the transformer and displaying it on AR glasses. This work consists of two sections augmented glass section and transformer section. In the augmented section, tend to use the augmented glass for displaying the main points for the objects that user sees. The glass consists of the IR transmitter once it met with the IR receiver then through the microcontroller it’ll evoke details from the receiver through ZIGBEE module. Within the transformer section the oil level device accustomed live the oil level within the transformer and voltage level are going to be measured by the voltage level device. The current device is employed live this passing through the cable. The temperature sensor is used for indicating the winding temperature & oil temperature of the transformer and also the buzzer or beeper is an audio signaling device, which is used to produce sound when it detects the high temperature inside the transformer. All the main points are unceasingly monitored by the microcontroller. If any values go abnormal then the microcontroller can send the main points to the user glass through the ZIGBEE module. By this technique, user can able to read the defect within the transformer through carrying the augmented glass.
Keywords: Power Supply, ATMEGA 328, AR Glass, ZIGBEE, Level Sensor, Voltage Sensor, Current Sensor, Temperature Sensor, Buzzer, IR Transmitter & Receiver.
Scope of the Article: Augmented Reality