管理信息系统通用模块的设计

对管理信息系统进行研究,给出通用模块的设计和实现。针对现存管理信息系统对需求变化响应不足的缺点,结合其共性提出通用模块的设计思路和实现方法,并通过定制进行业务的调整。通用模块分为6个业务子模块和1个控制子模块,在B/S和C/S架构下得以实现,并已经在实际中使用。     

高精度二相混合式步进电机控制系统研究

在二相混合式步进电机数学模型的基础上,针对电机低速运行时的振动和噪声过大的问题,研究了正弦脉宽调制细分驱动技术,开发出一种新型的基于单片机的多细分二相混合式步进电机驱动器。该系统主要分为数字控制部分、GAL片逻辑综合信号处理单元、SG3525恒流控制电路、驱动功放电路、过流保护及反馈电路和系统供电电源模块等。系统采用专用集成芯片和可编程逻辑器件,以8位单片机AT89C2051为控制核心,实现恒流控制、正/反转运行、过流保护和多档位细分等功能。实验结果表明,系统硬件和软件设计合理可行,各项技术指标均达到了设计要求。     

Anode‐voltage‐control circuit for compensation of luminance deterioration

Abstract— An external driving circuit that has realized long lifetime, power‐consumption control, and peak luminance for organic light‐emitting diode (OLED) displays have been developed. This circuit realizes an effective method for constant‐anode‐voltage (CV) driving refered to as clamped inverter (CI) driving. The feature of CV driving is to achieve low‐power consumption compared with constant‐anode‐current (CC) driving and to control the power consumption and peak luminance according to the image because display luminance can be easily changed by controlling the anode voltage. On the other hand, CV driving has the problem that luminance deterioration appears to be serious compared with that of CC driving because the current of the OLED element decreases according to usage time. To cope with this, a lifetime compensation circuit that has increased the anode voltage so that it compensates for the luminance deterioration has been developed. This circuit can compensate not only the decrease in current but also the decrease in luminance at a constant current that CC driving cannot. However, increasing the anode voltage causes an increase in stress on the OLED element. The influence of stress on OLED lifetime was verified. As a result, it was confirmed that this circuit can extend the lifetime by 32% even if the anode voltage is increased, causing stress on the OLED structure.     

系统通信模型执行性研究

针对可执行体系结构中系统数据交换是如何最终落实到具体的通信网络或设备,并进行具体数据传输问题,提出了系统通信模型执行方法.该方法描述了系统通信模型具有的基本元素及相关属性、模型元素之间的关系和表示,阐述了系统通信模型与系统接口描述模型、系统数据交换描述以及系统状态转移/系统时序图之间的关系,说明了系统功能驱动系统数据交换的具体步骤以及系统通信模型执行的过程.系统通信模型的执行使系统体系结构模型在整体上形成一个内在的一致性执行体,充实并完善了可执行体系结构,为可执行体系结构的执行奠定基础.     

基于C-V2X的车路协同自动驾驶关键技术与应用

随着车联网技术的演进,自动驾驶在单车智能的基础上,又有了新的发展形态——车路协同自动驾驶。通过“人-车-路-云”深度融合形成的一体化复杂信息物理系统（cyber physical system,CPS）,可以与自动驾驶车辆实现协同感知、协同决策规划甚至协同控制,提升自动驾驶安全性,帮助克服各类复杂交通环境。首先介绍了车路协同的复杂信息物理系统的概念内涵和总体架构,并提出了车路协同自动驾驶的一系列典型应用场景、技术原理、C-V2X(cellular vehicle-to-everything)性能要求、车路协同系统功能与性能要求,可以为下一阶段智能网联汽车与智能交通的深度融合发展提供参考和解决思路。     

MHz-driven snubberless zero-current soft-switching high step-up DC-DC converter with a multi-resonant tank

A novel high step-up DC-DC converter suitable for the power interface of fuel cells (FC) is presented in this paper. The proposed converter features a multi-resonant tank for achieving high-step up ratio under zero current soft switching (ZCS) without any snubber circuits. The simple and minimized-component topology is beneficial for megahertz driving of gallium nitride (GaN) power transistors with effective reductions of switching loss, electromagnetic emission interference (EMI) noise, and ripple-free DC input current. Mode-transitional power stages are described in detail, following that the high step-up principle is revealed by means of frequency-domain analysis. The essential performances of the proposed circuit topology are demonstrated by simulation and experiment of 1.8 MHz-120W prototype whereby effectiveness of the snubberless and multi-resonant topology are verified from the practical point of view.     

鄱阳湖出湖流量时序变化特征与驱动因子分析

长江中游与鄱阳湖及五河构成复杂的“江-湖”系统,研究阐明鄱阳湖出湖流量的时序变化特征与驱动因子,是调控改善江湖关系的关键所在。本文在初步选取12个潜在的出湖流量驱动因子基础上,有机结合相关系数判别和主成分分析方法,揭示了不同潜在驱动因子间的多重共线性;进而通过构建出湖流量数学模型,量化了不同潜在驱动因子对出湖流量的相对重要性排序及其影响程度。研究结果表明：（1）赣江、抚河、饶河、修水的入湖流量,湖区星子站水位,三峡出库流量等6个驱动因子间不存在多重共线性,可完整表征五河来流、湖区水位、长江干流的多重驱动作用;（2）运用基于随机森林回归方法的出湖流量数学模型,揭示了湖区水位、长江干流来流、赣江入湖流量是最为重要的驱动因子,并且其对出湖流量的影响呈现复杂的非线性特征。研究表明：影响出湖流量的众多驱动因子之间关系复杂但影响程度有所差异。这为科学调控典型通江湖泊江湖关系提供了重要参考依据。     

智能汽车拟人驾驶风险量化方法研究

驾驶风险量化评估对智能汽车拟人驾驶决策至关重要,针对复杂多任务场景下的驾驶风险量化问题,提出了一种基于 人类风险感知机理的智能汽车驾驶风险量化方法。 首先,利用传感器获取驾驶场景周围环境信息与行驶状态信息,并根据人类 驾驶经验对潜在冲突因素赋值代价,生成驾驶场景代价地图;其次,根据车辆运动状态与拟人驾驶的基本原则,利用高斯函数建 立动态风险模型;最后,结合驾驶场景代价图与动态风险模型实时计算拟人驾驶风险量化值。 仿真结果表明,提出的方法能够 基于人类驾驶经验,计算出动态变化的驾驶风险量化值,应用于智能汽车自动驾驶决策,可产生拟人驾驶行为。     

A large scale parallel fluid-structure interaction computing platform for simulating structural responses to a detonation shock

Due to the intrinsic nature of multi-physics, it is prohibitively complex to design and implement a simulation software platform for study of structural responses to a detonation shock. In this article, a partitioned fluid-structure interaction computing platform is designed for parallel simulating structural responses to a detonation shock. The detonation and wave propagation are modeled in an open-source multi-component solver based on OpenFOAM and blastFoam, and the structural responses are simulated through the finite element library deal.II. To capture the interaction dynamics between the fluid and the structure, both solvers are adapted to preCICE. For improving the parallel performance of the computing platform, the inter-solver data is exchanged by peer-to-peer communications and the intermediate server in conventional multi-physics software is eliminated. Furthermore, the coupled solver with detonation support has been deployed on a computing cluster after considering the distributed data storage and load-balancing between solvers. The 3D numerical result of structural responses to a detonation shock is presented and analyzed. On 256 processor cores, the speedup ratio of the simulations for a detonation shock reach 178.0 with 5.1 million of mesh cells and the parallel efficiency achieve 69.5%. The results demonstrate good potential of massively parallel simulations. Overall, a general-purpose fluid-structure interaction software platform with detonation support is proposed by integrating open source codes. And this work has important practical significance for engineering application in fields of construction blasting, mining, and so forth.     

自动驾驶交叉路口测试场景建模及验证方法

自动驾驶汽车在缓解交通拥堵和消除交通事故方面发挥着重要作用.为了保证自动驾驶系统的安全性和可靠性,在自动驾驶汽车部署到公共道路之前,必须进行全面的测试.现有的测试场景数据大多来源于交通事故和交通违法场景,而且自动驾驶系统最基本的安全需求就是遵守交通法规,这充分体现了自动驾驶汽车遵守交通规则的重要性.然而,目前严重缺少针对交通法规构建的自动驾驶测试场景.因此,本文从交通法规出发,根据自动驾驶系统安全需求,提出交叉路口测试场景的Petri网建模及形式化验证方法.首先,依据自动驾驶测试场景对交规进行分类,提取适合自动驾驶汽车的文本交规,并进行半形式化表征.其次,以覆盖道路交通安全法规以及测试场景功能测试规程为目标,融合交叉路口场景要素的交互行为,合理选择并组合测试场景要素,布设交叉路口测试场景.然后,基于交规的测试场景被建模为一个Petri网,其中,库所描述自动驾驶汽车的状态,变迁表示状态的触发条件,并选择时钟约束规范语言（CCSL）作为中间语义语言,将Petri网转换为一个可进行形式化验证的中间语义模型,提出具体的转换方法.最后,通过Tina软件分析验证交规场景模型的活性、有界性和可达性,结果表明所建模型的正确性,并基于SMT的分析工具MyCCSL来分析CCSL约束,采用LTL公式以形式化方法验证交规场景模型的一致性.