Under Ground Cable Fault Detection:
IOT Concept:
PI Detects the Faults via a Circuitry, Process it and finds the distance of the Fault in KM. Update the Server via TCP/IP Protocol, Firmware Implementation is done Using Python and it communicates to the server with IP and port number. Server side Code is Implemented using LabView which is a Graphical Programming Test and Measurement Tool which Indicates the Fault Location using GUI.
This Project requires active Internet connection or atleast the Network where PI and PC running Labview Application are connected.
The aim of this project is to determine the distance of underground cable fault from base station
in kilometers. This project uses the simple concept of ohm’s law.When any fault like short
circuit occurs, voltage drop will vary depending on the length of fault in cable,since the current
varies. A set of resistors are therefore used to represent the cable and a dc voltage is fed at one
end and the fault is detected by detecting the change in voltage using a analog to voltage
converter and a microcontroller is used to make the necessary calculations
Project Block Diagram:
Tools Used:
Raspberry PI Controller Firmware is written using Python
PC Side Fault Indicator Application is Developed using NI LabView
Hardware is designed to suit the application by detecting short circuit
Reference Documents:
IOT Concept:
PI Detects the Faults via a Circuitry, Process it and finds the distance of the Fault in KM. Update the Server via TCP/IP Protocol, Firmware Implementation is done Using Python and it communicates to the server with IP and port number. Server side Code is Implemented using LabView which is a Graphical Programming Test and Measurement Tool which Indicates the Fault Location using GUI.
This Project requires active Internet connection or atleast the Network where PI and PC running Labview Application are connected.
LabView Code Sample:
Python Code Flow Charts:
TCP/IP Protocol :
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