Research On Key Technologies Of Remote Diagnosis System For Dredger Power Plant

Dredgers play a very important role in channel dredging and port construction. As a complex system, dredgers have not only main propulsion system but also dredging operating system. Gererally, various faults occur in the power equipments of dredger because of severe working conditions, which influences diging operation greatly. Therefore, the research of the theory and methods of fault diagnose for main power equipments is very important.Aiming at two power equipments of dredger, including diesel engine and hydraylic system, the study is carried on the following researchs. The first concern is the remote syntenitic diagonosis system of diesel engine using multi-parameters and multi-methods. The second concern is the remote automatic pollution analysis and method diagonosis system for hydraylic system.Based on the reliability test of diesel engine, the performance parameters and the oil analyzing parameters (including spectrum analysis, ferrographic analysis and PQP parameters) were analyzed using multi-index fusion method. The comprehensive evaluation of the operation stations, wear stages and trend of diesel engine were achieved. Furthermore, the reliability of diesel engines is evaluated by the monitoring method.The frame of remote diagnosis for dredgers was established using diagnostic and network technology, distributed systems theory. Based on internet computing technologies, a human-machine symbiosis and key technologies of remote diagnosis system were studied, and the configuration of remote monitoring system was formed. The remote monitoring system was divided into three subsystems including ship-based surveillance, ship-shore communications and shore-based remote monitoring. Two systems were realized modularly including the digital monitoring and diagnosis system as well as the network-based remote diagnosis and maintenance decision support system for power equipments. The model of three-level and four-method for ship repair management was established. Three-level includes the ship, diagnostic centers and operation maintenance center. And four-method includes vibration, oil, and instantaneous speed and performance parameters monitoring. On-line monitoring oil, instantaneous speed and performance parameters were studied. The multi-technology integrated monitoring and diagnosis method was put forward and realized based on the parameters of performance, instantaneous speed and oil.The main source of hydraulic oil contamination is analysed and the impact to hydraulic equipment on the dredger is also studied. The evaluation criteria about the degree of contamination of the hydraulic system on the dredger is established. The on-line monitoring of the degree of contamination and evaluation methods for the dredger hydraulic are studied. The real-time monitoring and evaluation for degree of contamination of the hydraulic system on the dredger are achieved.