摘要：【中文】本发明涉及一种软悬挂状态下的隔水管安全监测系统及方法，该系统包括隔水管应力应变监测系统、顶部柔性接头倾角监测系统、激光干涉监测系统、信息融合中心和平台控制中心；平台控制中心在平台附近有台风或其他危险情况时发送台风预警指令到各监测系统；信息隔水管应力应变监测系统对隔水管的应力应变参数进行实时测量；顶部柔性接头倾角监测系统对隔水管顶部饶性接头偏角参数进行实时测量；激光干涉监测系统对隔水管中心偏移量参数进行实时测量；信息融合中心将各实时测量值与参数预警值进行比较，当大于参数预警值时，发送预警信息到平台控制中心；平台控制中心对平台的速度及方向进行调整。本发明可以广泛应用于石油管道监测领域。 【EN】The invention relates to a riser safety monitoring system and a method in a soft suspension state, wherein the system comprises a riser stress-strain monitoring system, a top flexible joint inclination angle monitoring system, a laser interference monitoring system, an information fusion center and a platform control center; the platform control center sends typhoon early warning instructions to each monitoring system when typhoon or other dangerous conditions exist near the platform; the stress-strain monitoring system of the information marine riser measures the stress-strain parameters of the marine riser in real time; the top flexible joint inclination angle monitoring system measures deflection angle parameters of a flexible joint at the top of the marine riser in real time; the laser interference monitoring system measures the central offset parameter of the marine riser in real time; the information fusion center compares each real-time measurement value with the parameter early warning value, and when the real-time measurement value is greater than the parameter early warning value, the information fusion center sends early warning information to the platform control center; the platform control center adjusts the speed and the direction of the platform. The invention can be widely applied to the petroleum pipeline monitoring field.

摘要：【中文】一种海洋平台推进器故障预警方法，方法包括：获取海洋平台推进器多组特征参数向量集作为多组样本数据集；利用相关算法对每组样本数据集进行关联性划分，根据预定的关联性规则获得每组重构的样本矩阵；选择重构的样本矩阵中工况空间指标最大值所对应的样本矩阵作为过程记忆矩阵；获取推进器的多个特征参数向量，根据过程记忆矩阵确定每个所述特征参数向量相对应的估计向量；计算每个特征参数向量与相对应的所述估计向量之间的距离相似度；根据距离相似度确定推进器故障预警的预警阈值；实时获取推进器当前的特征参数，并根据预警阈值判断推进器故障状态。通过本发明的方案，提高了海洋平台推进器故障预警的精准度。 【EN】A failure early warning method for an ocean platform propeller comprises the following steps: acquiring a plurality of groups of characteristic parameter vector sets of an ocean platform propeller as a plurality of groups of sample data sets; performing relevance division on each group of sample data sets by using a correlation algorithm, and obtaining each group of reconstructed sample matrixes according to a preset relevance rule; selecting a sample matrix corresponding to the maximum value of the working condition space index in the reconstructed sample matrix as a process memory matrix; acquiring a plurality of characteristic parameter vectors of a propeller, and determining an estimation vector corresponding to each characteristic parameter vector according to a process memory matrix; calculating the distance similarity between each characteristic parameter vector and the corresponding estimation vector; determining an early warning threshold value of the early warning of the faults of the propeller according to the distance similarity; and acquiring the current characteristic parameters of the propeller in real time, and judging the fault state of the propeller according to the early warning threshold value. According to the scheme provided by the invention, the fault early warning accuracy of the ocean platform propeller is improved.