基于机理及算法的水电站智能预警方法研究及应用

当前水电站计算机监控系统报警机制为简单的状态变位和越限报警,对数据趋势变化异常无法及时感知。而实际运行过程中水电机组故障信号往往呈现非平衡、非线性的特征,粗放的报警机制使监控系统产生大量的过程及粗犷的报警信息,无法进行有效报警数据的关联分析,不利于工作人员及时发现设备异常,迅速判断事故成因,从而进行更加准确的处理。本文基于当前水电站计算机监控系统及数据中心的技术水平,结合电站多年运行过程中积累的经验数据,提出了基于机理及算法的水电站智能预警系统,为水电站的智能预警建设提供借鉴和参考。

关于Newmark-β法机理的一种解释

一般认为,Newmark-β法属于积分类型的动力数值分析方法,和基于荷载分段插值类型的数值方法不是相同类型的方法。在本文中,研究了这两类方法之间的关系,以最常使用的两种Newmark方法——平均常加速度法和线性加速度法为例,从Newmark基本假定出发推导出这两种方法所具有的荷载分布模式。结果发现:平均常加速度法和线性加速度法与各时间步距内荷载分布模式分别取为二次函数和三次函数时的荷载分段精确法完全相同,但平均常加速度法在时步的始末端点处荷载是不连续的,且同真实荷载值不重合。因此,Newmark-β法亦可看作是一种基于荷载分段插值类型的数值分析方法,可以从荷载分布模式假定的角度解释Newmark-β法的数值机理。最后,通过一个单自由度体系实例阐释了本文结论的正确性。

加热炉支路温度平衡控制方法的应用和探讨

本文简要介绍蒸馏装置加热炉出口温度常规性控制原理和方法,并针对加热炉炉膛内实际加热热源的不均匀分布等干扰因素,提出了基于机理算法的顺控模块闭环控制法。从长期运行的实际效果来看,在控制的精度和维护的方便性以及回路的使用率上,都达到当初预定的目标,并且该控制方案具有投用灵活可靠等优点,完全可以取代目前常用的APC控制软件,对实际生产具有一定的借鉴和指导意义。

OPTIMIZATION FOR COMBAT CONFIGURATION OF AIR DEFENSE WEAPON SYSTEMS

At evaluating the combat effectiveness of the defense system, target′s probability to penetrate the defended area is a primary care taking index. In this paper, stochastic model to compete the probability that target penetrates the defended area along any flight path is established by the state analysis and statistical equilibrium analysis of stochastic service system theory. The simulated annealing algorithm is an enlightening random search method based on Monte Carlo recursion, and it can find global optimal solution by simulating annealing process. Combining stochastic model to compete the probability and simulated annealing algorithm, this paper establishes the method to solve problem quantitatively about combat configuration optimization of weapon systems. The calculated result shows that the perfect configuration for fire cells of the weapon is fast found by using this method, and this quantificational method for combat configuration is faster and more scientific than previous one based on principle via map fire field.

工业智能发展关键问题研究

随着人工智能技术理论与应用的不断深化,工业制造有望成为其应用的重点领域。分析了工业(人工)智能解决工业领域问题的技术机理,分析了工业智能算法及其应用框架,聚焦代表性垂直行业,对工业智能应用实例及特征进行了分析,最后阐述了工业智能相关产业现状与发展趋势,为我国制定工业智能发展政策提供借鉴与指导。

Semi-Fragile Audio Watermarking Algorithm in DWT Domain

A novel semi-fragile audio watermarking algorithm in DWT domain is proposed in this paper.This method transforms the original audio into 3-layer wavelet domain and divides approximation wavelet coefficients into many groups.Through computing mean quantization of per group,this algorithm embeds the watermark signal into the average value of the wavelet coefficients.Experimental results show that our semi-fragile audio watermarking algorithm is not only inaudible and robust against various common images processing,but also fragile to malicious modification.Especially,it can detect the tampered regions effectively.

Multi-objective optimization for leaching process using improved two-stage guide PSO algorithm

A mathematical mechanism model was proposed for the description and analysis of the heat-stirring-acid leaching process.The model is proved to be effective by experiment.Afterwards,the leaching problem was formulated as a constrained multi-objective optimization problem based on the mechanism model.A two-stage guide multi-objective particle swarm optimization(TSG-MOPSO) algorithm was proposed to solve this optimization problem,which can accelerate the convergence and guarantee the diversity of pareto-optimal front set as well.Computational experiment was conducted to compare the solution by the proposed algorithm with SIGMA-MOPSO by solving the model and with the manual solution in practice.The results indicate that the proposed algorithm shows better performance than SIGMA-MOPSO,and can improve the current manual solutions significantly.The improvements of production time and economic benefit compared with manual solutions are 10.5% and 7.3%,respectively.

An Extended Algorithm of Flexibility Analysis in Chemical Engineering Processes

An extended algorithm of flexibility analysis with a local adjusting method for flexibility region of chemical processes, which is based on the active constraint strategy, is proposed, which fully exploits the flexibility region of the process system operation. The hyperrectangular flexibility region determined by the extended algorithm is larger than that calculated by the previous algorithms. The limitation of the proposed algorithm due to imperfect convexity and its corresponding verification measure are also discussed. Both numerical and actual chemical process examples are presented to demonstrate the effectiveness of the new algorithm.

Computer Processing of the Intersection of Two Cones with Their Axes Intersecting and a Method to Get the Special Points

The analytic expression of the special points on the intersection of two cones with their axes intersecting(ITCTAI) is given. It also presents a method to construct the special points graphically according to the analytic expression of them. Finally, with computer programming language, it gives a program to generate the intersection in several different cases.

Image Series Segmentation and Improved MC Algorithm

A semiautomatic segmentation method based on active contour is proposed for computed tomography (CT) image series. First, to get initial contour, one image slice was segmented exactly by C-V method based on Mumford-Shah model. Next, the computer will segment the nearby slice automatically using the snake model one by one. During segmenting of image slices, former slice boundary, as next slice initial contour, may cross over next slice real boundary and never return to right position. To avoid contour skipping over, the distance variance between two slices is evaluated by an threshold, which decides whether to initiate again. Moreover, a new improved marching cubes (MC) algorithm based on 2D images series segmentation boundary is given for 3D image reconstruction. Compared with the standard method, the proposed algorithm reduces detecting time and needs less storing memory. The effectiveness and capabilities of the algorithm were illustrated by experimental results.

Modeling Multisource-heterogeneous Information Based on Random Set and Fuzzy Set Theory

This paper presents a new idea, named as modeling multisensor-heterogeneous information, to incorporate the fuzzy logic methodologies with mulitsensor-multitarget system under the framework of random set theory. Firstly, based on strong random set and weak random set, the unified form to describe both data (unambiguous information) and fuzzy evidence (uncertain information) is introduced. Secondly, according to signatures of fuzzy evidence, two Bayesian-markov nonlinear measurement models are proposed to fuse effectively data and fuzzy evidence. Thirdly, by use of "the models-based signature-matching scheme", the operation of the statistics of fuzzy evidence defined as random set can be translated into that of the membership functions of relative point state variables. These works are the basis to construct qualitative measurement models and to fuse data and fuzzy evidence.

浅议精炼炉钢水成分预报模型的实用性

本文结合工作实际,对宣钢二钢轧厂精炼炉生产中成功引进钢水成分预报模型,从而实现对150吨炉区1#、2#精炼精炼钢水成分的精度控制的经验进行了梳理总结。

Generating Fuzzy Rule-based Systems from Examples Based on Robust Support Vector Machine

This paper firstly proposes a new support vector machine regression (SVR) with a robust loss function, and designs a gradient based algorithm for implementation of the SVR, then uses the SVR to extract fuzzy rules and designs fuzzy rule-based system. Simulations show that fuzzy rule-based system technique based on robust SVR achieves superior performance to the conventional fuzzy inference method, the proposed method provides satisfactory performance with excellent approximation and generalization property than the existing algorithm.

Opportunities and challenges for developing closed-loop bioelectronic medicines

The peripheral nervous system plays a major role in the maintenance of our physiology. Several peripheral nerves intimately regulate the state of the brain, spinal cord, and visceral systems. A new class of therapeutics, called bioelectronic medicines, are being developed to precisely regulate physiology and treat dysfunction using peripheral nerve stimulation. In this review, we first discuss new work using closed-loop bioelectronic medicine to treat upper limb paralysis. In contrast to open-loop bioelectronic medicines, closed-loop approaches trigger ‘on demand' peripheral nerve stimulation due to a change in function(e.g., during an upper limb movement or a change in cardiopulmonary state). We also outline our perspective on timing rules for closedloop bioelectronic stimulation, interface features for non-invasively stimulating peripheral nerves, and machine learning algorithms to recognize disease events for closed-loop stimulation control. Although there will be several challenges for this emerging field, we look forward to future bioelectronic medicines that can autonomously sense changes in the body, to provide closed-loop peripheral nerve stimulation and treat disease.

A new method of constructing measure

By using a well known result in combinatorics, named Konig Lemma, this paper generalized the method of constructing measure by repeated subdivision, which was a basic tool for fractal geometry. A more general method was presented to construct measure, which was an essential improvement to the existing result. The proof employed a skill similar to that for Konig Lemma, which helped to avoid using the compactness in Euclidean space. Two conditions of the existing method were found not necessary.

Multi-physics analysis of permanent magnet tubular linear motors under severe volumetric and thermal constraints

Permanent magnet tubular linear motors(TLMs) arranged in multiple rows and multiple columns used for a radiotherapy machine were studied. Due to severe volumetric and thermal constraints, the TLMs were at high risk of overheating. To predict the performance of the TLMs accurately, a multi-physics analysis approach was proposed. Specifically, it considered the coupling effects amongst the electromagnetic and the thermal models of the TLMs, as well as the fluid model of the surrounding air. To reduce computation cost, both the electromagnetic and the thermal models were based on lumped-parameter methods. Only a minimum set of numerical computation(computational fluid dynamics, CFD) was performed to model the complex fluid behavior. With the proposed approach, both steady state and transient state temperature distributions, thermal rating and permissible load can be predicted. The validity of this approach is verified through the experiment.

A simulation of diesel hydrotreating process with real component method

Computer simulation is a good guide and reference for development and research on petroleum refining processes. Traditionally, pseudo-components are used in the simulation, in which their physical properties are estimated by empirical relations and cannot be associated with actual chemical reactions, as no molecular structure is available for pseudo-components. This limitation can be overcome if real components are used. In this paper, a real component based method is proposed for the simulation of a diesel hydrotreating process by using the software of Unisim Design. This process includes reaction units and distillation units. The chemical reaction network is established by analyzing the feedstock. The feedstock is characterized by real components, which are obtained based on true boiling point curve. Simulation results are consistent with actual data.

Key Enabling Techniques and Deployment of 120Gb/s Long-Haul Optical Transmission in Backbone Networks

The explosive increase in data traffic requires networks to provide higher capacity and long-haul transmission capabilities.This paper introduces new results on high-order modulation and efficient Digital Signal Processing algorithms to reduce various transmission limitations in coherent receiving systems.Polarization Division Multiplexed Quadrature Phase Shift Keying(PDM-QPSK)is deployed to reach high bit rates,provides modified digital clock recovery,and allows BER-Aided Constant Modulus Algorithm(BA-CMA)equalising.A Soft Decision-Forward Error Correction(SD-FEC)algorithm and a joint scheme with timing recovery and adaptive equaliser are used to achieve better performance.A compact coherent transceiver is also developed.These techniques have been applied in the largest 100 G Optical Transport Network(OTN)deployment in the world,the backbone expansion project for Phase 3 of the China Education and Research Network(CERNET),with a total transmission length of 10 000 km.

Managing High Volume Data for Network Attack Detection Using Real-Time Flow Filtering

In this paper, we present Real-Time Flow Filter (RTFF) -a system that adopts a middle ground between coarse-grained volume anomaly detection and deep packet inspection. RTFF was designed with the goal of scaling to high volume data feeds that are common in large Tier-1 ISP networks and providing rich, timely information on observed attacks. It is a software solution that is designed to run on off-the-shelf hardware platforms and incorporates a scalable data processing architecture along with lightweight analysis algorithms that make it suitable for deployment in large networks. RTFF also makes use of state of the art machine learning algorithms to construct attack models that can be used to detect as well as predict attacks.

Development of a Musical-based Interaction System for the Waseda Flutist Robot-Implementation of a Real-time Vision Interface Based on the Particle Filter Algorithm

The aim of this paper is to create an interface for humanrobot interaction. Specifically, musical performance parameters （i. e. vibrato expression） of the Waseda Flutist Robot No. 4 Refined IV （WF-4RIV） are to be manipulated. This research focused on enabling the WF-4RIV to interact with human players （musicians） in a natu- ral way. In this paper, as the first approach, a vision processing algorithm, which is able to track the 3Dorientation and position of a musical instrument, was developed. In particular, the robot acquires image data through two catneras attached to its head. Using color histogram matching and a particle filter, the position of the musician＇s hands on the inset are tracked. Analysis of this data determines orientation and location of the iustnment. These pa- rameters are mapped to manipulate the musical expression of the WF- 4RIV, more specifically sound vibrato and volume values. The authors present preliminary experiments to determine if the robot may dynamically change musical parameters while interacting with a human player （i.e. vibrato etc. ）. From the experirnental results, they may confirm the feasibility of the interaction during the performance, although further research must be carried out to consider the physical constraints of the flutist robot.