ENGR DR. OGHENEROBO AWHEME

Corrosive damage presents widespread problems throughout industries that produce major financial damages and protective hazards. The current study focuses on solving the essential corrosion monitoring requirements in remote industrial sites especially oil and gas pipelines since traditional monitoring techniques often prove expensive and unrealistic. The main objective of this project focuses on developing a wireless sensor network-based corrosion monitoring system that provides time-sensitivedata together with predictive analysis to allow preventive maintenance and decrease operational expenses. The main element of this project requires creating a WSN system through electromagnetic techniques which detects corrosion rates along with humidity and temperature sensors that track environmental conditions affecting corrosion. The system runs data processing through an ESP32 microcontroller linked with wireless transmission capabilities and is supported by Thing Speak cloud software for data storage and visualization. Its design enables quick installation and affordability as well as versatility so industrial operators can use the system across various environments. Wireless communication technology allows remote monitoring thus minimizing the necessity for human inspections.. Field trials of the developed sensor and Laboratory tests verify that the created sensor system successfully detects corrosion by precisely measuring degradation in different environmental parameters. Analysis results and failure predictions based on collected data enable correct timing of maintenance and wise decision-making. Since field trials proved the system valid, WSN-based corrosion monitoring provides both efficiency and economic benefits for traditional measurement approaches together with safety benefits from early warning capabilities.