深海海底观测网络信息采集监测系统设计与实现

设计了一套深海海底观测网络信息采集监测系统.提出了一种由监控中心层、传输主干网层和采集子网层构成的监测系统分层总体结构,并设计了相应的信息采集通信协议及控制策略.进行了高压环境下的通信实验,实验结果表明在40MPa的压力下,监测系统能够正常工作,实验测试数据亦表明系统能够用于深海海底观测网络的实时信息采集监测.     

基于水下接驳盒的深海海底观测网络设计

针对深海海底环境的长期连续观测问题,设计一种基于水下接驳盒的深海海底观测网络。该网络由基站监控中心、水下接驳盒和海底观测传感器3个部分组成。采用嵌入式工控机和单片机相结合的方法,实现水下接驳盒的数据采集和电能管理,并给出系统的硬件、软件设计方案。实验结果证明,该系统适用于深海海底高压特殊环境下长期连续的实时观测。     

深海海底观测网络远程电力监控系统研究

为了实现对深海海底观测网络的观测传感器电能供给状态的在线实时监测,提出了一种基于水下接驳盒的远程电力监控方案.设计了电力监控系统的总体结构和接驳盒节点的硬件结构.监控系统以水下接驳盒为核心节点,通过光以太网进行远程通信,采用霍尔电流传感器和热敏电阻温度传感器相结合的方法,实现了对各种海底观测传感器的电流、温度监测和电能...     

企业融合通信智能业务托管系统关键技术及应用开发

无线传感网是由微型传感器和信息采集网络组成的一种全新的信息获取平台。提出并实现了基于Zigbee的无线传感网在海底观测设备实时监测中的应用。该系统利用低频无线传感网技术,把海底观测监测设备的实时姿态信息传递给用户,能让用户及时了解仪器工作状态和故障信息,从而能有效地探测仪器设备的运行异常情况,减少和消除因仪器姿态异常引起的无效观测数据,提高了海底观测系统地工作效率和可信度。同样适用于其它水下设备姿态和相关信息的监测,有较大的推广价值。     

基于Zigbee的无线传感网在海底观测设备实时监测中的应用

无线传感网是由微型传感器和信息采集网络组成的一种全新的信息获取平台。提出并实现了基于Zigbee的无线传感网在海底观测设备实时监测中的应用。该系统利用低频无线传感网技术,把海底观测监测设备的实时姿态信息传递给用户,能让用户及时了解仪器工作状态和故障信息,从而能有效地探测仪器设备的运行异常情况,减少和消除因仪器姿态异常引起的无效观测数据,提高了海底观测系统地工作效率和可信度。同样适用于其它水下设备姿态和相关信息的监测,有较大的推广价值。     

用VC＋＋．NET与ADO实现海底观测数据的维护

介绍了海底观测数据维护模块的目标、总体方案以及具体实现方法。该模块运用VC＋＋．NET语言和ADO数据库访问技术,在保证数据的完整和一致性的前提下,采用结构化查询语言从记录、数据表和数据库三方面实现了对海底观测数据的维护。     

基于非结构化海底复杂环境的SLAM研究综述

由于观测信号的高度不确定性,在海底环境下的导航无疑是各类机器人导航问题中最困难的。首先对基于非结构化海底环境的SLAM问题的复杂性进行了阐述,然后介绍了海底环境的描述及特征的提取的方法,对当前基于海底环境下SLAM问题的基本算法进行了归纳,并进行了比较。最后分析了数据相关、地图的创建、计算复杂度等关键问题,探讨了还需解决的问题及发展方向。     

用于海底观测网络水下接驳盒的电能监控系统

海底观测网络科学仪器的电能是由陆地电网通过光电复合海缆和水下接驳盒提供的。为了提高海底电力系统的可靠性和用能效率,设计了用于水下接驳盒的电能监控系统。该系统通过检测密封腔体内的环境参数、直流变换器的工作状态和内外部负载的用电情况,诊断系统故障并采取相应的保护措施,同时根据优先级管理内外部负载供电,并可通过海岸基站控制台实现远程控制和维护。在额定-2kV/2kW接驳盒上的原型实验表明,该系统运行稳定可靠,适用于海底长期观测网络。     

我国信息网络安全立法的探讨

信息网络安全已成为世界各国在互联网发展过程中出现的重要问题,如何有效的规制互联网已成为各国亟待解决的问题.本文从互联网的发展及网络特性谈起,分析了目前网络犯罪的几种主要类型,介绍了中国现有的规制状况和不足之处,提出了完善我国信息网络安全问题的几点建议.     

深海土工化学原位测试装置中控制系统的设计与实现

加强海底矿产资源的勘探与开发已成为各国的重要战略。本文结合我国当前发展现状,概述了在深海矿产资源勘探与开发中,关于海底土工化学原位测试装置中的控制系统的组成结构,重点介绍了有关各类电机控制模块的结构、功能和技术优化。     

IEEE 1588 based time synchronization system for a seafloor observatory network

An IEEE 1588 based application scheme was proposed to achieve accurate time synchronization for a deep seafloor observatory network based on the communication topological structure of the Zhejiang University Experimental and Research Observatory. The principles of the network time protocol （NTP） and precision time protocol （PTP） were analyzed. The framework for time synchronization of the shore station, undersea junction box layer, and submarine science instrument layer was designed. NTP and PTP network signals were decoded by a PTP master clock on a shore station that receives signals from the Global Posi- tioning System and the BeiDou Navigation Satellite System as reference time sources. These signals were remotely transmitted by a subsea optical-electrical composite cable through an Ethernet passive optical network. Accurate time was determined by time synchronization devices in each layer. Synchronization monitoring experiments performed within a laboratory environment indicated that the proposed system is valid and has the potential to realize microsecond accuracy to satisfy the time synchronization requirements of a high-precision seafloor observatory network.     

Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories

Cabled seafloor observatories play an important role in ocean exploration for its long-term, real-time, and in-situ observation characteristics. In establishing a permanent, reliable, and robust seafloor observatory, a highly reliable cable switching and fault isolation method is essential. After reviewing the advantages and disadvantages of existing switching methods, we propose a novel active switching method for network configuration. Without additional communication path requirements, the switching method provides a way to communicate with a shore station through an existing power transmission path. A coded voltage signal with a distinct sequence is employed as the communication medium to transmit commands. The analysis of the maximum bit frequency of the voltage signals guarantees the accuracy of command recognition. A prototype based on the switching method is built and tested in a laboratory environment, which validated the functionality and reliability of the method.     

Learning features from georeferenced seafloor imagery with location guided autoencoders

Although modern machine learning has the potential to greatly speed up the interpretation of imagery, the varied nature of the seabed and limited availability of expert annotations form barriers to its widespread use in seafloor mapping applications. This motivates research into unsupervised methods that function without large databases of human annotations. This paper develops an unsupervised feature learning method for georeferenced seafloor visual imagery that considers patterns both within the footprint of a single image frame and broader scale spatial characteristics. Features within images are learnt using an autoencoder developed based on the AlexNet deep convolutional neural network. Features larger than each image frame are learnt using a novel loss function that regularises autoencoder training using the Kullback–Leibler divergence function to loosely assume that images captured within a close distance of each other look more similar than those that are far away. The method is used to semantically interpret images taken by an autonomous underwater vehicle at the Southern Hydrates Ridge, an active gas hydrate field and site of a seafloor cabled observatory at a depth of 780 m. The method's performance when applied to clustering and content‐based image retrieval is assessed against a ground truth consisting of more than 18,000 human annotations. The study shows that the location based loss function increases the rate of information retrieval by a factor of two for seafloor mapping applications. The effects of physics‐based colour correction and image rescaling are also investigated, showing that the improved consistency of spatial information achieved by rescaling is beneficial for recognising artificial objects such as cables and infrastructures, but is less effective for natural objects that have greater dimensional variability.     

Components of an environmental observatory information system

Recently, an initiative within the hydrologic science and environmental engineering communities has emerged for the establishment of cooperative, large-scale environmental observatories. Scientists’ ability to access and use data collected within observatories to address broad research questions depends on the successful implementation of cyberinfrastructure. In this paper, we describe the architecture and functional requirements for an environmental observatory information system that supports collection, organization, storage, analysis, and publication of hydrologic observations. We then describe a unique system that has been developed to meet these requirements and that has been implemented within the Little Bear River, Utah environmental observatory test bed, as well as across a nation-wide network of 11 similar observatory test bed sites. The components demonstrated comprise an observatory information system that enables not only the management, analysis, and synthesis of environmental observations data for a single observatory, but also publication of the data on the Internet in simple to use formats that are easily accessible, discoverable by others, and interoperable with data from other observatories.     

海底观测网中上位机与服务器通信协议的设计

在海底观测网络中,各仪器采集的数据都分别发送到各自平台上位机,各上位机进行数据汇总后分别发送数据到数据管理系统服务器。在对海底观测网中各个设备数据采集格式、数据通信速率、数据通信容量进行综合分析后,设计了上位机与数据服务器之间的通信协议。通信数据包包括包头、包体和校验位,各个上位机通信的包头格式一致,包体结合不同设备的各自特点分别进行设计。根据通信协议开发了相应的客户端和服务器端软件。测试结果表明,通信协议能够完整、正确、高效地完成数据传输。     

虚拟天文台技术与展望

对虚拟天文台技术的研究，从单个数据库存取扩展到了基于网络的分布在世界范围的多个数据库交叉存取、网格计算，该文介绍了虚拟天文俞技术发展的各个方面内容。最后简要地叙述并概括了虚拟天文台技术的发展方向。从虚拟天文台技术的研究中，可以看到一个分布式系统的例子及在网格发展历程中一个数据网格例子，从中可看到新一代计算环境的发展趋势。     

天文文献情报资源共享网的建设

介绍了中国科学院天文系统 (5个天文台和 1个天文仪器厂 )文献情报资源共享网的建设 ,包括该网的实验网、陕西天文台文献情报计算机局域网的建设以及应用。