自然贮存场自然环境剖面归纳处理

针对某自然贮存场近几年的自然环境因素数据,应用小波分析理论对温度数据的周期分量和随机分量进行了分离.在数据分离的基础上,根据阿仑尼斯方程对年温度数据的周期分量,进行了等效平均,获得以热天、冷天划分的年恒定温度剖面.根据Manson-coffin模型对温度数据的随机分量进行了等效循环处理,最后综合得到贮存场的试验室模拟试...     

飞机结构单机寿命监控的几个关键问题的研究

飞机结构的使用寿命取决于使用方法,实施单机寿命监控能够有效地体现出这种差异性.基于飞行参数监控的思想,综合考虑了计算精度和计算效率,对不同采样率和不同滤波门槛值的影响进行了分析,确定了适用的采样率和门槛值;综合分析了不同情况下外挂质量对损伤计算结果的影响,为飞机结构实施单机寿命监控提供了技术保障.     

自动在线监测数据质量保证研究

对自动在线监测设备监测数据质量保证系统进行了研究,并在在线监测系统的硬件环境、管理体制和软件系统三个方面进行了具体的分析和研究.     

Using data mining technology to explore causes of inaccurate reliability data and suggestions for maintenance management

Reliability data reflects equipment safety and provides a reference for setting inspection period, thereby serving as crucial information for the implementation of equipment integrity management policies. The calculation foundation of reliability data is maintenance records of adequate data quality. However, maintenance records of doubtful quality are common. Despite excluding poor quality recodes and using only the remaining maintenance recodes to calculate the reliability data, the calculated results generally lack a sufficient degree of confidence. This study applied data mining technology, including quality metrics, the association rule, and clustering, to explore the cause of low-quality maintenance data. The results revealed that the low data quality of maintenance records was due to ineffective maintenance policies, the low integrity of key system columns, nonadherence to the policy, and misunderstanding of column definitions. The proposed method successfully identified the causes of low-quality maintenance records. By incorporating the method into the function module of a CMMS, operators can equip the system with self-diagnosis, self-supervision, and continuous optimization functions.     

基于LM-BP神经网络的Argo数据西北太平洋海水温度模型

以2007年西北太平洋海域Argo海表面温度、经纬度、深度为输入参数,利用LM-BP神经网络,构建了西北太平洋海水温度模型。将均方根差以及Pearson相关性系数作为检验指标,利用2008年和2009年的Argo数据对模型进行了检验。检验结果为:2008年均方根误差为0.714 0℃,Pearson相关性系数为0.996 8;2009年均方根误差为0.761 5℃,Pearson相关性系数为0.9965。表明所建立的基于LM-BP神经网络的Argo数据西北太平洋海水温度模型是可行的。     

江苏省地震科学数据共享平台技术研究

本文利用分布式数据库技术着力研究和开发了江苏省地震局的测震数据库、前兆数据库的共享、管理与集中发布技术。主要运用JSP（Java Server Page）技术及PHP（Hypertext Preprocessor）语言对测震的JOPENS系统中MySQL数据库、EQIM数据库、及前兆Oracle数据库等进行进一步地开发。搭建了一个行业内跨计算机操作平台的可视化的地震科技数据共享、交换及管理平台,实现了多种地震科学数据的（例如近、远震地震信息、各学科的运行率等）在线可视化、基于Google Map检索的地震信息服务等。     

通信技术在近海环境监测中的应用

本文针对海洋环境监测覆盖面广、站位分散、数据间断和频繁少量的特点以及海洋环境监测自动化、实时化和连续化的发展趋势,提出一种基于水上移动通信和水声通信技术的海底观测链方式,并以海床基监测数据实时传输系统为例,对系统组成、技术特点、技术原理和应用分别阐述,旨在推广通信技术在海洋环境监测领域中的应用。     

Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events

Reservoir management is a critical component of flood management, and information on reservoir inflows is particularly essential for reservoir managers to make real‐time decisions given that flood conditions change rapidly. This study's objective is to build real‐time data‐driven services that enable managers to rapidly estimate reservoir inflows from available data and models. We have tested the services using a case study of the Texas flooding events in the Lower Colorado River Basin in November 2014 and May 2015, which involved a sudden switch from drought to flooding. We have constructed two prediction models: a statistical model for flow prediction and a hybrid statistical and physics‐based model that estimates errors in the flow predictions from a physics‐based model. The study demonstrates that the statistical flow prediction model can be automated and provides acceptably accurate short‐term forecasts. However, for longer term prediction (2 h or more), the hybrid model fits the observations more closely than the purely statistical or physics‐based prediction models alone. Both the flow and hybrid prediction models have been published as Web services through Microsoft's Azure Machine Learning (AzureML) service and are accessible through a browser‐based Web application, enabling ease of use by both technical and nontechnical personnel.     

基于历史记录的赤潮灾害危险性区划方法的构建与应用

利用福建省近岸海域1959—2018年的赤潮历史记录数据资料,在地理信息系统(Geographical Information System,GIS)平台下采用核密度估计函数(kernel density estimation)对赤潮历史记录数据中的赤潮发生频次、赤潮发生持续时间、赤潮面积和赤潮藻类毒性等参数进行了空间...