ENC数据制作进展与应用现状分析

国际标准电子航海图(ENC)数据生产的规模化和规范化,是促进电子海图显示与信息系统(ECDIS)发展的重要前提。介绍了我国目前ENC数据生产的基本情况及应用领域的现状,分析了存在的问题,并对未来ENC数据的生产及电子海图应用系统ECDIS的发展等提出了相关建议。     

1983—2017年宁夏盐池县生态治理政策的类型与变化——基于政策工具视角

政策工具是政府实施政策的手段。结合盐池县1983-2017年出台的生态治理政策,运用内容分析法,从政策工具视角,对盐池县生态治理政策的类型与变化进行了分析,并深入探讨其原因。结果表明:强制型和混合型政策工具占主导地位,其中,规制、直接提供、信息与劝诫、补贴与奖励4种工具使用频率最高,自愿型工具的使用还很缺乏。政策工具的运用受到中央政策的显著影响。以后应当开发更多可利用的政策工具,并对不同政策工具进行优化组合。通过本研究可深入了解生态脆弱区地方政府生态政策的政策工具使用情况,为生态脆弱区生态保护的政策工具选择与优化组合提供参考。     

基于专利的石漠化治理技术分析

石漠化是发生面积仅次于沙漠化的荒漠化类型,已成为中国西南喀斯特山区可持续发展的主要障碍,其治理与恢复是复杂的系统工程。从治理技术层面,以1 159组简单专利族为数据基础,揭示国内石漠化治理技术类别分布和主要领域。在对专利进行简要计量分析以提供概貌认识的基础上,通过阅读专利摘要内容,采用自下而上的聚类方法将当前专利划分为石漠化判断、治理、产业经济3个大类,监测与评价、科研仪器、生物治理、工程治理、化学治理、综合治理、综合产业、农业和工业9个中类,更细分至雨水搜集净化等42个小类。根据专利数量认定的四大主要技术领域为：工程治理（8.63%）、水分利用（12.51%）、栽培种植（27.52%）、植物资源加工（9.67%）,占总量的58.33%,专利领域分布相对集中。对主要技术领域采用内容分析法,提取工程治理具体措施、集雨工具、植物、加工制品等的信息并对其进行了详细阐述,指出目前专利技术中的问题：石漠化地区特有的植物资源众多,但目前加工层次偏低,应在拓展加工类型、延长加工产业链条、发掘植物药用和日用价值方面加大研发力度;防止土壤漏失技术、设施农业技术和生命基因技术亟待发展。分析可为全面认识国内石漠化治理技术提供专利视角的参照。     

Discrete time-delay control of an autonomous underwater vehicle: Theory and experimental results

A discrete time-delay control (DTDC) law for a general six degrees of freedom unsymmetric autonomous underwater vehicle (AUV) is presented. Hydrodynamic parameters like added mass coefficients and drag coefficients, which are generally uncertain, are not required by the controller. This control law cancels the uncertainties in the AUV dynamics by direct estimation of the uncertainties using time-delay estimation technique. The discrete-time version of the time-delay control does not require the derivative of the system state to be measured or estimated, which is required by the continuous-time version of the controller. This particularly provides an advantage over continuous-time controller in terms of computational effort or availability of sensors for measuring state derivatives, i.e., linear and angular accelerations. Implementation issues for practical realization of the controller are discussed. Experiments on a test-bed AUV were conducted in depth, pitch, and yaw degrees of freedom. Results show that the proposed control law performs well in the presence of uncertainties.     

Multi-variable adaptive back-stepping control of submersibles using SDU decomposition

A multi-variable adaptive autopilot for the dive-plane control of submarines is designed. The vehicle is equipped with bow and stern hydroplanes for maneuvering. It is assumed that the system parameters are not known, and the disturbance force is acting on the vehicle. Based on a back-stepping design approach, an adaptive control law is derived for the trajectory control of the depth and the pitch angle. To prevent singularity in the control law, the SDU decomposition of the high-frequency gain matrix is used for the design. In the closed-loop system, asymptotic tracking of the reference depth and pitch angle trajectories is accomplished. Simulation results are presented which show that the submarine performs dive-plane maneuvers in spite of the uncertainties in the system parameters and disturbance forces.     

松辽坳陷湖盆环状坡折带发育特征及对沉积过程控制

借助高精度层序地层学、构造地层学、精细沉积体系分析和构造-古地貌恢复的理论和技术手段,对坳陷期松辽湖盆开展了整体性和综合性的再评价。研究认为,拗陷期影响和控制松辽盆地沉积过程的最主要因素是环古松辽湖盆发育的内环坡折带和外环坡折带。可划分为两大类型,即张扭性和压扭性。张扭型坡折以泉头组为代表,压扭型坡折在姚家组最典型。它们各自控制着不同的沉积过程。在此基础上,建立了具有典型代表意义的古松嫩平原沉积模型和古松嫩湖泊三角洲沉积模型。提出了以内、外环坡折为基础的有利勘探方向。     

Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.     

湘江长沙段有螺洲滩不同灭螺措施效果评价

为了全面评价和考核湘江长沙段各洲滩近几年来采取的不同灭螺措施对洲滩钉螺(Oncomelania hu-pensis)螺情的影响,采用以系统抽样结合环境抽查的查螺方法,2003～2008年对湘江长沙段20个有螺洲滩进行了跟踪调查.结果表明,2008年与2003年相比,活螺洲滩数、有螺框出现率、钉螺平均密度和活螺率分别下降了40.00%,99.10%,99.74%,51.09%.经统计学处理,各洲滩有螺框出现率(Z=91.560 2,P<0.01)、活螺率(Z=65.133 2,P<0.01)不相同,但年度下降趋势明显.在20个有螺洲滩中,有感染性钉螺分布的洲滩5个,占有螺洲滩总数的25.00%;有感染性钉螺分布的洲滩逐年减少,感染性钉螺的平均密度和感染率逐年降低,2007～2008年所有洲滩无感染性钉螺分布.湘江长沙段有螺洲滩采取的各种防治措施中,药物与环改灭螺相结合的效果远好于单纯的药物灭螺.各种环改灭螺措施,又以抬洲降滩、翻耕垦种的灭螺效果更持久,更彻底.     

直接数字频率合成技术在声学释放器中的应用

直接数字频率合成技术(DDS)是一种新的频率合成方法,它具有转换时间短、相位变化连续、全数字可编程等优点.文中介绍了ADI公司生产的AD7008芯片作为频率信号源在声学释放器中的应用.