杜尔伯特蒙古族自治县草原牧业系统结构优化的研究

采用相异性分析方法对杜尔伯特蒙古族自治县进行了生态分区;采用多目标模糊评审方法求得结构单元的优序关系;采用线性规划方法,建立了以“牧、草、渔、林、衣、苇、药”为内容的结构模型,并进行了可行性分析。提出了适宜于该区的生态生产建设方针、路子和实际步骤,为国土整治、发展生态经济提供了科学的依据。

能源和化工系统的全生命周期评价和可持续性研究

在资源和能源日趋紧缺的背景下,开拓替代能源和新的化工产品技术路线势在必行。然而,目前对各种新技术方案的基础数据和系统分析比较薄弱,对产业布局和生态环境的长期影响有待深入研究。对近年来研究资源/能源化工复杂系统的建模、模拟、结构优化和系统集成问题的进展进行综述,运用过程系统投入产出分析的理论和方法,建立化工产品技术路线的全生命周期分析模型与集成的框架平台,研究资源、能源、技术、经济、环境等多因素综合优化评价问题。以煤气化合成气衍生的煤化工系统为基础案例,专门论述了在产品路线规划和过程合成中,集成优化、全生命周期评价和可持续性的研究进展。目标在于推进'技术—经济—环境—产业发展'多属性、多目标、多尺度系统集成的基础理论研究和技术创新。

社区矫正系统研究

社区矫正系统是由一系列罪犯矫正要素构成的一个开放式的罪犯矫正系统,它由矫正对象、矫正主体、矫正活动、矫正资源和矫正规范等五大基本要素组成。社区矫正的目标包括矫正价值、社会价值和经济价值三者的统一,提高预防再犯效果是社区矫正的核心目标。增强社区矫正系统内各要素的性能,优化社区矫正系统的结构,营造良好的社区矫正外部环境,是提高社区矫正系统整体功能的基本途径。

NIDS中一种报警优化算法的研究与实现

提出了一种改进的基于二级决策内核的NIDS系统结构,设计了相应的报警优化过滤算法,并重点讨论了系统设计和实现中的核心问题和关键技术。实验结果表明,该工作在不影响IDS报警实时性的同时,减少了误报和滥报现象,提高了报警的准确性和合理性。

浅谈金矿实施安全生产标准化的问题与对策

矿山事故频繁发生的重要原因就是安全生产标准化出现了问题,因此要想避免这些事故的发生,矿山企业就必须做好安全生产标准化工作。基于这种情况,本文首先分析了金矿实施安全生产标准化的问题,并在此基础上提出了几种金矿实施安全生产标准化的对策,旨在为金矿企业在安全管理方面提供一些帮助。

谈党校信息化建设的发展

构建适合党校信息化发展 ,有实用价值的信息技术平台 ,优化网络系统结构和功能 ,使校园网系统、数据库系统在统一的网络平台环境下发挥功能和作用。

提高安钢3500mm炉卷轧机主传动设备能力的实践

针对安钢3500 mm炉卷轧机主传动设备制约品种钢开发的问题进行了分析,通过提高元件的寿命、优化系统结构和纠偏磁力线的措施,提高了主传动设备能力,解决了品种钢的开发问题。

10kV配电线路的自动化运行维护策略

阐述一10kV配电线路的特点,出现的故障原因,自动化技术在配电线路故障维护中的应用,包括故障定位自动化、馈线自动化、选择最佳配网自动化方案、优化系统结构。

Comparison of Two Types of Control Structures for Benzene Chlorine Reactive Distillation Systems

The ＂neat＂ operation of the two-reactant reactive distillation column has Oetter steady-state economics, while It presents a challenge for design, optimization, and control of the process. Based on the optimal economic design, the dual-composition control structure and dual-temperature control structure are designed respectively for the benzene chlorine consecutive reactive distillation process. The effectiveness and robustness are analyzed comparably for the disturbance resistance in terms of changes of production rate and feed composition. Results show that dual-temperature control with propose selection of tray temperatures and the optimal profile of the set point can provide better transient process performance than the composition control structure.

Systematic Method of Applying Structural Characteristics of Natural Organisms to Mechanical Structures

Structural bionic design lacks mature and scientific theories, and the excellent structural characteristics of natural organisms sometimes cannot be transferred into engineering structures effectively. Aiming at overcoming the existing problems, this paper summarizes three related theories: similarity theory, fuzzy evaluation theory and optimization theory. Based on the related theories, a method of structural bionic design is introduced, which includes four steps: selecting the most useful structural characteristic of natural organism; analyzing the structural characteristic finally chosen for engineering problem; completing the structural bionic design for engineering structure; and verifying the structural bionic design. Similarity theory and fuzzy evaluation theory are employed to achieve Step 1. In Step 2 and Step 3, optimization theory is employed to analyze the parameters of structures. Together with the thoughts of simplification and grouping, optimization theory can reveal the relationship between organism structure and engineering structure, providing a way to structural bionic design. A general evaluation criterion is proposed in Step 4, which is feasible to evaluate the performance of different structures. Finally, based on the method, a structural bionic design of thin-walled cylindrical shell is introduced.

Network Structure Expert System and Operation Optimization

It is proposed that double level programming technique may be adopted in synthesis strategy. Optimization of heat exchanger network structural configuration (the master problem) may be solved at the upper level, leaving the rest operating conditions( the slave problem) being optimized at the lower level. With the uniqueness in mind, an HEN synthesis expert system may be employed to address both the logical constraints and the global operation parameters′ optimization using enhanced sequential number optimization theory.Case studies demonstrate that the synthesis strategy proposed can effectively simplify both the problem solving and the synthesis process. The validity of the strategy recommended is evidenced by case studies′ results compared.

Research on management of coal bed methane warehousing and transportation based on GIS

At present Coal Bed Methane （CBM） has become the important part of clean energy in China. and will optimize the energy structure in China unceasingly. However, warehousing and transportation of CBM become one of the core factors that restrain its exploitation and utilization at present, due to the space-time character of natural deposit and modem utilization of CBM. In this paper, according to the character of CBM and the expanding trend of its utilization, the necessity of constructing the CBM＇s warehousing and transportation management system demonstrated. Index system that influence CBM＇s warehousing and transportation is established. And CBM＇s warehousing and transportation model is established by Voronoi diagram. In light of above research, CBM＇s warehousing and transportation management system based on Geography Information System （GIS） is designed, Using this system, CBM＇s warehousing and allocation center in one mining area is optimized. Research shows that to reinforce CBM＇s warehousing and transportation management is one of the key factors for coordinating the development of its development and utilization, thereby ensuring its sustainable development and utilization.

大型水电机组第3代励磁系统展望

针对大型水电机组励磁系统目前的技术现状和应用实际,综合近年来国内励磁技术各方面取得的突破性进展和实质性应用成果,站在一个全新的高度,突出解决励磁系统关键问题和提高实用性能,描绘了面向未来的新型励磁系统的结构蓝图,展示了具有自主知识产权的高性能、高可靠性、高性价比和少维护的第3代励磁系统的理想模式和应用前景,是对现代励磁技术实现系统融合、性能完善、功能强化、节能环保和整体优化的全面展望。

智能变电站的继电保护系统可靠性分析

阐述智能变电站继电保护系统的状况,存在的问题,提出优化措施,包括变压器保护、过程层的继电保护、优化系统结构、电压的限定延时、增强间隔层继电保护的可靠性。

Parallel architecture and optimization for discrete-event simulation of spike neural networks

Spike neural networks are inspired by animal brains,and outperform traditional neural networks on complicated tasks.However,spike neural networks are usually used on a large scale,and they cannot be computed on commercial,off-the-shelf computers.A parallel architecture is proposed and developed for discrete-event simulations of spike neural networks.Furthermore,mechanisms for both parallelism degree estimation and dynamic load balance are emphasized with theoretical and computational analysis.Simulation results show the effectiveness of the proposed parallelized spike neural network system and its corresponding support components.

Effect of Topology Structures on Synchronization Transition in Coupled Neuron Cells System

In this paper, by the help of evolutionary algorithm and using Hindmarsh-Rose （HR） neuron model, we investigate the effect of topology structures on synchronization transition between different states in coupled neuron cells system. First, we build different coupling structure with N cells, and found the effect of synchronized transition contact not only closely with the topology of the system, but also with whether there exist the ring structures in the system. In particular, both the size and the number of rings have greater effects on such transition behavior. Secondly, we introduce synchronization error to qualitative analyze the effect of the topology structure. Phrthermore, by fitting the simulation results, we find that with the increment of the neurons number, there always exist the optimization structures which have the minimum number of connecting edges in the coupling systems. Above results show that the topology structures have a very crucial role on synchronization transition in coupled neuron system. Biological system may gradually acquire such efficient topology structures through the long-term evolution, thus the systems＇ information process may be optimized by this scheme.

Comparison of the topologies for a hybrid energy-storage system of electric vehicles via a novel optimization method

The combination of batteries and ultracapacitors has become an effective solution to satisfy the requirements of high power density and high energy density for the energy-storage system of electric vehicles.Three aspects of such combination efforts were considered for evaluating the four types of hybrid energy-storage system(HESS)topologies.First,a novel optimization framework was proposed and implemented to optimize the voltage level of a battery pack and an ultracapacitor pack for the four types of HESS topologies.During the optimization process,the dynamic programming(DP)algorithm was iteratively applied to determine the optimal control actions.The simulation results with DP were used to evaluate the energy efficiency of different HESS topologies at different voltage levels.Second,the optimized voltage level of the battery and ultracapacitor in each topology indicates that a higher voltage level usually results in a better system performance.The simulation results also illustrate that the optimized rated voltage level of the battery pack is approximately 499.5 V,while for the ultracapacitor pack,the optimized voltage level is at its maximum allowed value.Note that the constraint of the battery voltage is initialized at200–600 V.Third,the control rules for different HESS topologies were obtained through the systematic analysis of the simulation results.In addition,advantages and disadvantages of the four topologies were summarized through evaluation of the efficiency and operating currents of the batteries and the ultracapacitor.

Algorithms for seismic topology optimization of water distribution network

As an essential lifeline engineering system,water distribution network should provide enough water to maintain people's life after earthquake in addition to working under daily operation.However,the design of water distribution network usually ignores the influence of earthquake,resulting in water stoppage in large area during many recent strong earthquakes.This study introduced a seismic design approach of water distribution network,i.e.,topology optimization design.With network topology as the optimization goal and seismic reliability as the constraint,a topology optimization model for designing water distribution network under earthquake is established.Meanwhile,two element investment importance indexes,a pipeline investment importance index and a diameter investment importance index,are introduced to evaluate the importance of pipelines in water distribution network.Then,four combinational optimization algorithms,a genetic algorithm,a simulated annealing genetic algorithm,an ant colony algorithm and a particle swarm algorithm,are introduced to solve this optimization model.Moreover,these optimization algorithms are used to optimize a network with 19 nodes and 27 pipelines.The optimization results of these algorithms are compared with each other.

Evolutionary algorithm based on dynamical structure of membrane systems in uncertain environments

In this paper, a new evolutionary algorithm based on a membrane system is proposed to solve the dynamic or uncertain optimization problems. The proposed algorithm employs objects, a dynamical membrane structure and several reaction rules of the membrane systems. The object represents a candidate solution of the optimization problems. The dynamical structure consists of the nested membranes where a skin membrane contains several membranes, which is useful for the proposed algorithm that finds optimal solutions. The reaction rules are designed to locate and track the optimal solutions of the dynamic optimization problems （DOPs）, which are inspired by processing the chemical compounds in the region of cellular membranes. Experimental study is conducted based on the moving peaks benchmark to evaluate the performance of the proposed algorithm in comparison with three state-of-the-art dynamic optimization algorithms. The results indicate the proposed algorithm is effective to solve the DOPs.