Intelligent ship oil detection sensor based on LC resonance

With the vigorous development of the shipping industry, ship intelligence has become an important direction for the development of the shipbuilding industry, and the predictive maintenance and health management of ship machinery and equipment can be obtained in real-time through sensors, communication, and other technical means. A multi-parameter oil contaminant detection sensor is designed, which is based on LC resonance sensing technology, using the nested structure of inner and outer coils, the outer coil is set outside the oil pipeline as the reading and excitation coil, and the inner coil is set in the oil pipeline as the induction coil. Wherein the inner coil is composed of two solenoid coils arranged side by side, the inductance of the induction coil and the capacitor equivalent of the two induction coils are combined to form an LC resonant circuit. Inductive detection can distinguish ferromagnetic metal particles and non-ferromagnetic metal particles in oil; Capacitance sensing can distinguish between water and air in oil. This design uses a multi-parameter sensor with a circuit reading system to effectively detect contaminants such as metal particles, water droplets, and bubbles in the oil, and reduce the influence of the wall thickness of the oil line on the sensitivity of the sensor. This design study provides a new method for the online detection of oil contaminants, provides data support for staff to effectively carry out maintenance according to the situation, and is of great significance for predicting mechanical equipment failure and improving equipment reliability.