挖泥船动力机械远程诊断系统关键技术研究
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摘要
挖泥船(又称疏浚船舶)在航道疏浚和港口建设中起着重要的作用。作为一种复杂机器系统,挖泥船不但具有主推进系统,还具有用于疏浚施工的挖泥作业系统。由于工作条件恶劣导致的动力设备故障成为影响作业的主要根源。为此,研究挖泥船动力设备的综合监测及故障分析理论及方法具有重要意义。
针对挖泥船两种典型的动力设备,包括柴油机和液压系统的故障监测诊断开展工作,主要围绕发动机基于多参数综合监测及多方法融合故障诊断,建立基于远程监测的综合诊断系统；围绕液压系统的污染度监测,建立液压系统的自动污染度分析方法及远程诊断系统。
以柴油机的可靠性台架试验为基础,对柴油机的性能参数和油液分析(包括光谱分析数据、铁谱分析数据、油液PQ指数等)等特征参数进行多指标融合分析,实现了对柴油机运转状况、磨损状况与趋势的综合分析,并据此对柴油机的可靠性进行评价。
结合诊断技术、网络技术及分布式系统理论研究了船舶远程诊断模式和系统架构。基于Internet的计算技术,建立了人机共栖、远程异地协作诊断系统的关键技术,形成了远程监测系统的体系结构。将挖泥船动力设备监测系统划分为船载监测系统、船岸通信系统和岸基远程监测系统三部分。运用模块化设计思想,研制了船舶柴油机数字化监测与诊断系统和基于网络的船舶动力系统的远程诊断与维修决策支持系统,实现了船舶、诊断中心和机务中心等三级,振动、油液、瞬时转速和性能参数等四种方法的船舶动力系统运行保障的技术体系,构建了“三级四法”船舶维修管理模式。
研究了基于油液、瞬时转速和性能参数等在线监测方法,实现了基于性能参数监测、瞬时转速监测与油液分析多技术融合的监测与诊断方法,并通过实例验证,最终构建了船舶柴油机监测系统。
分析了挖泥船液压油中污染物的主要来源和对液压设备的影响,确定了挖泥船液压系统污染度的等级评定标准与系统目标清洁度,研究了挖泥船液压系统的污染度在线监测和污染评判方法,实现了对挖泥船液压系统污染度的实时监测与评价。
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.
针对挖泥船两种典型的动力设备,包括柴油机和液压系统的故障监测诊断开展工作,主要围绕发动机基于多参数综合监测及多方法融合故障诊断,建立基于远程监测的综合诊断系统；围绕液压系统的污染度监测,建立液压系统的自动污染度分析方法及远程诊断系统。
以柴油机的可靠性台架试验为基础,对柴油机的性能参数和油液分析(包括光谱分析数据、铁谱分析数据、油液PQ指数等)等特征参数进行多指标融合分析,实现了对柴油机运转状况、磨损状况与趋势的综合分析,并据此对柴油机的可靠性进行评价。
结合诊断技术、网络技术及分布式系统理论研究了船舶远程诊断模式和系统架构。基于Internet的计算技术,建立了人机共栖、远程异地协作诊断系统的关键技术,形成了远程监测系统的体系结构。将挖泥船动力设备监测系统划分为船载监测系统、船岸通信系统和岸基远程监测系统三部分。运用模块化设计思想,研制了船舶柴油机数字化监测与诊断系统和基于网络的船舶动力系统的远程诊断与维修决策支持系统,实现了船舶、诊断中心和机务中心等三级,振动、油液、瞬时转速和性能参数等四种方法的船舶动力系统运行保障的技术体系,构建了“三级四法”船舶维修管理模式。
研究了基于油液、瞬时转速和性能参数等在线监测方法,实现了基于性能参数监测、瞬时转速监测与油液分析多技术融合的监测与诊断方法,并通过实例验证,最终构建了船舶柴油机监测系统。
分析了挖泥船液压油中污染物的主要来源和对液压设备的影响,确定了挖泥船液压系统污染度的等级评定标准与系统目标清洁度,研究了挖泥船液压系统的污染度在线监测和污染评判方法,实现了对挖泥船液压系统污染度的实时监测与评价。
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.
引文
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