摘要：入侵攻击模拟验证系统作为提高电网安全性的一种代表性工具,通过自动模拟从内外部对网络、系统和应用程序发起的广泛攻击,实现模拟攻击,评估系统安全能力。然而,针对电力网络中主要面临的长期且多阶段的高级持续攻击,现存入侵攻击模拟验证系统的设计却普遍存在一定的局限性,不能有效地进行全面模拟和防御。针对上述问题,本文提出了一种面向电力网络高级持续攻击防御的自动化入侵攻击模拟验证系统设计方案,该方案采用虚拟化与流量模拟技术实现了对电力网络的实战仿真,并在仿真环境中,通过对比防护前后攻击的效果来对高级持续攻击的防护措施进行有效性验证。本文首先基于虚拟化技术实现了针对高级持续攻击的基础网络与组件的模拟,其次采用流量模拟技术实现了系统中电网业务流量和高级持续攻击流量的双重模拟,最后搭建了面向高级持续攻击的实战场景,实现了防护措施的有效性验证模块。经试验表明,本文所提方案能够较好地进行电力网络攻防实验和防御长期多阶段的高级持续攻击。As a representative tool to improve the security of power grids, the Intrusion Attack Simulation Verification System automatically simulates a wide range of attacks on networks, systems, and applications from inside and outside, realizes simulated attacks, and evaluates system security capabilities. However, in view of the long-term and multi-stage advanced persistent attacks mainly faced in power networks, the design of the existing intrusion attack simulation and verification system has some limitations, and it cannot be effectively simulated and defended. In order to solve the above problems, this paper proposes a design scheme for the automatic intrusion attack simulation and verification system for advanced continuous attack defense of power network, which uses virtualization and traffic simulation technology to realize the actual combat simulation of power network, and verifies the effectiveness of the protection measures of advanced continuous attack by comparing the effect of attack before and after protection in the simulation environment. In this paper, the simulation of the basic network and components for advanced persistent attacks is realized based on virtualization technology, and secondly, the dual simulation of power grid service traffic and advanced persistent attack traffic in the system is realized by using traffic simulation technology, and finally the actual combat scenario for advanced persistent attacks is built, and the effectiveness verification module of protective measures is realized. Experiments show that the proposed scheme can be b

摘要：针对采用自主式水下机器人(AUV)巡检和拍摄输水隧洞中的裂缝时水下环境会极大地限制光视觉图像的可视范围和分辨率,单幅水下图像获得的视角范围有限的问题,提出一种基于加速稳健特征(SURF)算法的AUV水下图像拼接方法。在图像预处理阶段对水下图像进行去畸变和限制对比度自适应直方图均衡化处理,用于解决水下图像存在的畸变、对比度低和噪声严重等问题。将SURF特征点检测算法应用到水下图像配准中,并与RANSAC算法相结合,对特征点进行精确匹配。应用线性渐变融合算法实现水下图像融合,有效去除拼接缝隙,完成水下图像拼接,最终通过水池和外场试验拼接图像验证所提方法的正确性。

摘要："海灵"号智能探测潜水器是国家863计划海洋技术领域"300公斤级小型智能探测系统开发"的主要成果.在关键部件受国外技术壁垒影响的情况下,"海灵"号智能探测潜水器以满足海洋资源信息低成本、高精度军民探测需求为背景,以推动我国水下智能探测装备发展为目标,通过5年技术攻关,历经3次国家南海规范化海上试验,攻克了潜深大、续航长与重量轻间的耦合约束难题,突破了高海况下AUV可靠、高效布放与回收技术,建了主被动抛载结合的多模式自救技术,形成了自主知识产权的技术和设备.该成果整体达到国外同类潜水器的先进技术水平,成本为国外产品1/3强,具有良好的市场推广前景.项目研究的相关技术已对国内其他单位的AUV研制产生了影响,并引起了国外用户的关注,提升了我国在该技术领域的设计和制造水平,达到了项目预期的研究目标.