Intelligent oil and gas leakage detection system for small waters based on embedded device fusion application

Abstract With the development of the energy industry, the scale of inland oil and gas pipeline construction has continued to expand. However, safety hazards such as oil and gas leakage have also become prominent. Unlike marine oil spills, inland oil spills mostly occur in small water areas. Therefore, marine oil spill control technologies are often difficult to be directly applied to inland oil spill scenarios. In response to the real-time and intelligent requirements of oil and gas leakage monitoring in small water areas, this study designs an intelligent detection system based on ARM processing chips and Raspberry Pi. This system takes the ARM-PCB control board as the underlying controller, which is responsible for sensor data acquisition and equipment driving. The Raspberry Pi serves as the core processing unit, running Python algorithms to complete data fusion analysis, leakage determination, and GPS positioning. The alarm information and positioning coordinates are remotely transmitted through the wireless communication module, and a camera is equipped for on-site image collection and transmission, forming a closed-loop monitoring system of ‘perception-decision-making-early warning’. Tests have proved that the system can effectively adapt to complex hydrological environments, providing technical support for the intelligent detection of oil and gas leakage in water areas.