Modularized design for cooperative control and plug-and-play operation of networked heterogeneous systems

In this paper, a cooperative control analysis and design method is investigated for heterogeneous dynamical systems that may be of arbitrary relative degree or nonminimum-phase or both. To achieve consensus or cooperative stability, a negative value of input-feedforward passivity index is used to accommodate and analyze such systems, and the magnitude of the index value is also used as the impact coefficient to quantify the impacts of heterogeneous dynamics of these systems on their networked operations. Physical-system-level designs are explicitly carried out to make individual linear and nonlinear systems (which are either feedback linearizable or nonminimum phase of certain form) become passivity-short and to embed one pure integrator into their input–output dynamics. The network-level distributed control can simply be chosen without any knowledge of the heterogeneous dynamics but with only information of an upper bound on their impact coefficients. It is shown, using the impact equivalence principle, that these controls separately designed but implemented together always ensure either local or global consensus and that a global non-trivial consensus emerges if and only if the information network has at least one globally reachable node or is varying but cumulatively connected. The proposed methodology of fully modularized designs unravels complexity of analyzing and designing cyber–physical systems and enables their plug-and-play into networked operations.     

Reliability-based robust design optimization: A general methodology using genetic algorithm

In this paper, we present an improved general methodology including four stages to design robust and reliable products under uncertainties. First, as the formulation stage, we consider reliability and robustness simultaneously to propose the new formulation of reliability-based robust design optimization (RBRDO) problems. In order to generate reliable and robust Pareto-optimal solutions, the combination of genetic algorithm with reliability assessment loop based on the performance measure approach is applied as the second stage. Next, we develop two criteria to select a solution from obtained Pareto-optimal set to achieve the best possible implementation. Finally, the result verification is performed with Monte Carlo Simulations and also the quality improvement during manufacturing process is considered by identifying and controlling the critical variables. The effectiveness and applicability of this new proposed methodology is demonstrated through a case study.     

基于非负矩阵分解的水量分配方案后评价

提出了水量分配方案后评价指标体系,建立了基于非负矩阵分解的水量分配方案后评价模型,并以1983年国务院批复的引滦水量分配方案为研究对象进行了水量分配方案诊断式后评价。该方法利用非负矩阵分解算法将指标矩阵最大程度分解为基向量和权向量,根据权向量元素的数值对水量分配方案进行评级,根据基向量元素的数值判断评价指标的实施状况。通过对引滦水量分配方案质量、实施过程、实施效果和可持续性的调查分析,得出方案综合后评价结果为优,但在来用水可持续性、对水环境影响及水质目标保证率等方面需加以改进。评价结果表明,基于非负矩阵分解原理的后评价方法评价效果较好,可为水量分配方案等项目的后评价提供科学依据。     

空间资源索引与top-k查询研究

以空间资源索引结构R-tree为基础, 考虑人们对空间资源能力指标的要求, 利用道路网络模型进行空间距离的计算, 提出了一种包含能力维度信息的空间资源索引结构和top-k查询算法, 并与传统遍历算法进行对比实验, 验证了查询算法的有效性。     

气象传感器网络系统架构与体系结构研究

传感器网络将在气象观测领域发挥越来越重要的作用。针对地面气象观测的现实需求,提出了气象传感器网络的概念,构建了气象传感器网络的应用场景,完成了其需求分析与系统架构设计,深入分析了气象传感器网络可采用的通信手段。在陆上传感器网络体系结构的基础上,结合气象传感器网络的特点,设计了气象传感器网络的体系结构,将其结构划分为物理层、数据链路层和网络层。对该体系结构各层的功能进行了深入分析,最后对气象传感器网络的应用前景进行了展望。     

快速高效隔膜压滤机在鹤壁四矿选煤厂的应用

介绍了快速高效隔膜压滤机的主要性能参数和特点 ;分析了压滤机在煤泥水处理系统中的应用情况和运行结果 ;应用快速高效隔膜压滤机对煤泥水处理系统进行改造后获得了较好的经济及社会效益     

新形势下做好长江流域水土保持监测工作的思考

基于长江流域水土保持的监测调研工作,结合我国当前社会、经济发展新形势的总体要求,针对开展好流域水土保持监测工作这一课题,从完善水土流失动态监测工作、构建应急监测体系、强化机构职能定位、推进先进技术和设施设备应用、优化流域网络体系顶层设计、探究水土流失监测综合性指标设置等方面开展了一些有益的探索,以利于更好地开展新形势下的水土保持监测工作。     

生态清洁小流域监测及后评价初探

生态清洁小流域监测及后评价对于生态清洁小流域建设效果评估和指导生态清洁小流域后期建设具有重要意义,但目前为止,关于生态清洁小流域建设后的监测及后评价方面的研究较少。鉴于此,以生态清洁小流域作为研究对象,从建设目标的角度出发,针对性选取了对生态清洁小流域建设效果评价具有代表性的监测因子,并简述了监测方法。同时,综合考虑生态清洁小流域"自然-社会-经济"特点,从社会和自然环境两大方面选取10个指标构建生态清洁小流域后评价指标体系,给出了评价方法和评价标准。该研究结果可为生态清洁小流域建设效果评价提供理论依据。     

基于物元分析法的水资源管理现代化评价

为科学合理地评价区域水资源管理现代化水平,从水资源保障、用水效率、水资源保护、水资源公共管理能力、水资源支撑能力5个方面构建评价指标体系,将模糊层次分析法(FAHP)和熵权法耦合,确定评价指标综合权重,基于物元理论建立水资源管理现代化评价模型。以南京市高淳区为例进行评价,结果表明,南京市高淳区水资源现代化管理水平处于初等现代化阶段,与实际情况相符,验证了所构建评价模型的可行性和有效性。     

A fuzzy neural network approach for online fault detection in waste water treatment process

In this paper, an effective strategy for fault detection of sludge volume index (SVI) sensor is proposed and tested on an experimental hardware setup in waste water treatment process (WWTP). The main objective of this fault detection strategy is to design a system which consists of the online sensors, the SVI predicting plant and fault diagnosis method. The SVI predicting plant is designed utilizing a fuzzy neural network (FNN), which is trained by a historical set of data collected during fault-free operation of WWTP. The fault diagnosis method, based on the difference between the measured concentration values and FNN predictions, allows a quick revealing of the faults. Then this proposed fault detection method is applied to a real WWTP and compared with other approaches. Experimental results show that the proposed fault detection strategy can obtain the fault signals of the SVI sensor online.