Real-Time Marine Engine State Monitoring Using Fuzzy-Based Dynamic CAN Priority

摘要

This paper proposes a marine engine state monitoring system using a fuzzy multi-node communication priority protocol for intelligent network sensors which collects the state of bearings, temperature and pressure of engine through the CAN network. This paper proposes the effective monitoring method for marine engine system, which is implemented based upon Controller Area Network (CAN). As the marine engine monitoring system requires various kind of information, a lot of sensor nodes are distributed to several places. The data from various sensors attached in the marine engine are converted to digital by the analog to digital converter and formatted to fit the CAN protocol at the CAN module. All the CAN modules are connected to the SPU (Signal Processing Unit) module for the efficient communication and processing. This design reduces the cost for wiring and improves the data transmission reliability by recognizing the sensor errors and data transmission errors.