Block diagram of iot based underground cable fault detection and monitoring system.
Underground cable fault detection robot.
Download project document synopsis underground cables are prone to a wide variety of faults due to underground conditions wear and tear rodents etc.
Underground cable fault detection using robot free download present trend of laying cables for various purposes is to lay underground.
Also detecting fault source is difficult and entire line is to be dug in order to check entire line and fix faults.
It checks for the cable faults present or not if there is any fault it captures.
There are many difficulties in laying.
The robot is made moved in underground pipe gallery where all the cables are laid and also if required in oil refinery.
Underground cable fault monitoring and detection system using iot and arduino free download however 1kv to 500kv is the only range in which the system supports the cable other cable fault detection cannot be employed figure 8.
So it is necessary to know the exact location of faults in the underground cables.
With advantages come challenges.
Present trend of laying cables for various purposes is to lay underground.
This paper proposes fault location model for underground power cable using microcontroller.
The robot moves through these pipes and start gathering all the data by following the commands from the user.
Companies prefer laying the cables underground because the climatic adversities don 39 t affect this.
With advantages come challenges.
We make use of this voltage across change resistors to detect the fault.
It was performed under the guidance of prof.
Career episode 1.
The aim of this project is to determine the distance of underground cable fault from base station in kilometers.
In the event of short circuit line to earth fault the voltage accordingly.
There are many difficulties in laying the cables and once laid.
Whatever the fault is the voltage of the cable has the tendency to change abruptly whenever a fault occurs.
So here we propose an cable fault detection over iot that.