神经网络球磨机出力软测量模型的建立

为了准确地获得球磨机的制粉出力,提出了用灰熵关联分析法分析球磨机制粉出力的影响因素,选择对球磨机制粉出力影响较大的几个因素作为辅助变量建立模型,以最优拉丁超立方法选取的数据作为训练样本,基于BP神经网络建立球磨机出力软测量模型,并选出几组样本验证所建模型的可靠度.结果表明:所建立的球磨机出力软测量模型预测输出误差较小,有较强的泛化能力,具有很好的测量性能.     

钢球磨煤机制粉系统的优化控制

针对燃煤电站钢球磨煤机制粉系统多变量强耦合的特点，提出了基于模糊控制和预测控制的复合优化控制策略。该方案是大偏差时采用模糊控制，小偏差时采用解耦预测控制,并在稳态时进行监控优化。对某DTM－287／470型球磨机系统的仿真研究表明：提出的方法有较强的鲁棒性和抗干扰能力，稳态监控策略的实施有利于提高制粉系统的出力，达到优化运行的目的，具有重要的理论价值和实际意义。图2参5     

球磨机料位软测量及其低能耗高效运行研究

球磨机是制粉系统中的重要设备,同时也是耗能较大的设备之一,用电量高达厂用电的20％左右。制粉系统球磨机料位受多个因素影响,文中根据多传感器变量软测量的思路,应用CMAC神经网络原理和方法,对其影响因素中有很高控制价值的量进行软测量建模,并设计实验测试模型性能。证明该模型可较好地反映实时料位,提高了球磨机的效率,降低了电耗,为制粉系统球磨机的控制和优化提供了指导。     

灰色软测量在球磨机料位检测中的应用

1引言目前我国电厂锅炉制粉系统相当一部分配备了低速钢球磨煤机,采用中间仓储式结构,但该系统绝大部分未能达到经济工况运行,原因之一是磨内负荷难以直接测量[1]。因此,解决磨内负荷的测量问题不论对于其控制还是经济运行和监测均具有十分重要的意义。近年来,对球磨机筒内负荷     

基于数据融合技术的电站入炉煤水分的测量

目前电站中煤水分一直采用的是离线取样测量,不具有现场实时性,需要能够快速准确测量的方法来测量煤水分。提出一种基于制粉系统热量平衡机理分析的在线监测水分软测量技术,并且根据DCS组态的要求简化公式来实现水分的测量。该模型把一些离线数据看做定值,通过从SIS系统中提取给煤机给煤量,磨煤机入口一次风量、一次风温度等数据来实现对入炉煤水分值的监测。现场应用表明,该模型能较为准确地给出入炉煤收到基水分的实时状况,为解决现场工作的需要提供了一个好方法。     

基于自适应模糊控制的制粉系统运行优化与节能控制

针对巴陵石化热电装置制粉系统电耗偏高、煤粉细度不稳定、控制参数波动大等诸多问题,通过理论分析和实验相结合的方法,研究系统的最佳运行工况,再以非线性控制理论为基础,对整个制粉系统实施全局自动控制,确保制粉系统严格工作在最佳工况区域以及该制粉系统的长期可靠运行。有效地控制了煤粉的均匀度,降低了制粉电耗,减少了炉水排放,锅炉热效率提高1.62%。     

热平衡在中储式制粉系统一次风、粉试验中的应用

电站锅炉煤粉浓度是锅炉风粉系统的一个重要监测参数,对于锅炉的燃烧调整和安全运行起着极为重要的作用,利用软仪表测量原理,研究了电站风粉浓度测量的软测量模型。通过热平衡原理计算能够较准确地反映煤粉的浓度,具有工程实用价值,并且应用于某电厂中储式制粉系统一次风、粉试验中,收到了较好的效果。     

神经网络模糊多模型软测量在磨煤机存煤量测量方面的应用

基于钢球磨煤机的机理模型,采用神经网络模糊多模型软测量的方法解决球磨机存煤量测量问题,首先建立钢球磨煤机的机理模型,然后将FCM聚类与RBF神经网络多模型理论相结合深入探讨了神经网络模糊多模型软测量方法的实现,最后进行了球磨机存煤量测量的仿真试验,并与RBF神经网络单模型的仿真结果进行了比较.结果表明：神经网络模糊多模型软测量的预测输出的误差较小,训练速度更快,具有更好的泛化能力;将神经网络模糊多模型应用于球磨机存煤量的测量是可行的.     

基于数据分析的燃煤机组制粉系统与配风方式优化

针对某600MW燃煤机组制粉系统及配风方式优化,在其历史运行数据库的基础上,采用改进关联规则挖掘算法对磨煤机一次风量、给煤机速率、磨煤机出口风压及二次风门开度等参数进行挖掘,得到了优化后全工况下各运行参数的最优参考值.结果表明:在中低负荷段,保证煤量要求的前提下,减少磨煤机台数能够降低制粉系统运行能耗;在相同磨煤机组合方式下,优化后工况的净单位发电量明显提升,有效降低了制粉系统运行能耗;优化后的二次风配风方式呈束腰型分布,在保证稳燃的同时提高了锅炉效率,降低了NO_x的生成量.     

基于模糊神经元网络的球磨机控制系统的改进

球磨机是一个多变量的复杂非线性系统,介绍了设计的由模糊控制器和神经元控制器结合的控制系统,用PLC加以实现,取得了对球磨机良好的控制效果.     

Research on the optimizing control technology based on fuzzy-neural network for hydrogen-fueled engines

Hydrogen fuel is regarded as one of the most promising alternative fuels for automobiles in future. Technology of the optimum control on hydrogen-fueled engines is a key to improve its performances in every respect. In this paper, based on the experiments, the policy of optimum control on hydrogen-fueled engines has been shown. Moreover, a new optimizing control model on hydrogen-fueled engines has been constructed, in which ignition timing, injection timing and injection duration were separately selected as control variation, and output power and rate of fuel consumption are separately chosen as performance index function. Further, a new method ingeniously adopting fuzzy-neural network (FNN) system to calculate the optimizing control laws for the optimizing control model has been designed, and a series connection control system has been set up, which is composed of FNN controllers combined with an adaptive controller for ignition timing to realize open-loop or closed-loop control pattern with stepping regulation of ignition timing. Last, the calculated results of the control variations with an improved FNN system were contrasted with experimental results; the contrasting result has shown that the maximum absolute error is less than 1 °C A, the maximum relative error is less than 5%, mean square error is 0.381 °C A. Therefore, the calculation method with FNN system is practical and satisfactory.     

无密封风机的双进双出磨煤机正压直吹式制粉系统设计

国电聊城电厂二期2×600MW超临界机组工程,设计煤质、校核煤质均为低挥发分贫煤,制粉系统采用了双进双出钢球磨煤机正压直吹系统。在初步设计阶段,每台炉设置了两台100％容量的密封风机,之后的施工图设计中,经过充分调研,制粉系统中取消了密封风机,磨煤机的密封风取自冷一次风。经一系列的设计优化,最终使磨煤机的密封风压力高于制造厂家的要求。从试运行一直到满负荷发电,现已运行近一年的时间,磨煤机没有出现漏风、漏粉现象,现场制粉系统运行良好。电厂节能、降耗效果显著。     

基于多智能体的发动机智能控制仿真与试验研究

本文研究了多智能体在发动机控制中的应用。所提出的发动机多智能体控制系统是由不同功能的多个独立智能体组成，通过信息融合，可将发动机控制的各种任务分配给不同的智能体。每个智能体完成各自承担的任务，由一个系统的智能体监控、协调所有智能体的动作并负责整个控制系统的运行。该控制方法的显著特点是模仿人的思路将复杂的问题简化，选择不同方法对多工况、非线形系统进行有效地控制。控制软件采用分层模块化结构，便于采用分时多任务机制，提高了控制效果。仿真和试验结果表明：多智能体控制系统比常规控制方法具有更好的稳定性、更快的动态响应特性。     

基于模糊决策的路灯节电等级控制系统的设计

此节能型路灯照明智能控制系统以单片机为核心,采用了电压、时间及光控制相结合的方法,利用模糊决策理论对节电等级进行控制,可有效改善路灯照明质量,节约电能及延长灯具的使用寿命,达到了很好的节电效果。     

基于GIS的城市生活垃圾规划管理智能决策系统

提出对城市生活垃圾治理系统实施规划管理,是实现垃圾治理”减量化、资源化、无害化”目标,推进城市经济可持续发展的根本方法。系统地分析了“基于GIS的城市生活垃圾规划管理智能决策系统”的总体架构,确定了应用系统的组成及各部分功能。     

Preparation and evaluation of a new hybrid support based on exfoliation of graphite by ball milling for Ni nanoparticles in hydrogen evolution reaction

A mixture of graphene/graphite as new support was prepared by ball milling procedure and was used for Nickel nanoparticles supported that was employed as a cathode catalyst for hydrogen evolution reaction (HER) in the KOH solution. The structure and electrocatalytic activity of electrocatalyst were investigated by Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, transmission electron microscopy (TEM), X-ray diffraction (XRD) analysis, and electrochemical techniques. The results indicated that by raising the time of the ball milling from 0 to 270 min, the HER activity of electrocatalyst first increased, and then decreased according to the increase of active sites and then agglomeration of Ni nanoparticles. Ni nanoparticles supported on the mixture with 180 min ball milling exhibited the highest HER activity with a low overpotential (205 mV at 10 mA cm^?2), Tafel slope of 84 mV dec^?1, and remarkable durability.     

浅析电信撬箱体智能监控识别系统的应用

当前,人工智能给人们的生产和生活方式带来革命性变化,油气田开发领域也将陆续进入智能化时代,未来将实现全自动钻井,一些关键的作业将实现远程操控,通过现场智能控制平台将地面智能化和井下智能化组成一个有机整体,通过物联网将现场智能钻井与远程实时智能控制中心构成一个大的有机整体,实现现场+远程的大闭环控制。现有技术中,钻井工程的电力传动、控制、通信等系统撬装化技术日益成熟,为站场的供配电系统、自动控制系统、通信系统的整体技术集成及设备撬装化提供了可行的解决方案。     

Research on optimizing control model of hydrogen fueled engines based on thermodynamics and state space analysis method about nonlinear system

With its obvious advantages, hydrogen is expected to be greatly used as a new energy, which can reduce vehicle emissions effectively and efficiently. Besides, it can be adopted as an alternative fuel for petroleum fuel of internal combustion engine. However, due to its unique physical and chemical characteristics, hydrogen often leads to abnormal combustion and decay of power, which can be effectively dealt with by optimal control. In this paper, thermodynamic analysis methods, like mass transfer and energy transfer, is combined with state space analysis methods of nonlinear control system, so that an optimal control model of nonlinear combustion control system for hydrogen fueled engines can be established. Through illustrating the inner relations between combustion and energy transfer of hydrogen fueled engines and operating parameter, state parameter and performance index, this paper provides theoretical analysis and found experimental research for promoting abnormal combustion and performance index after controlling operating parameters optimally and changing state parameters of the cylinder. Based on nonlinear programming theory and multi-objective genetic algorithm, the methods of establishing the optimal control model and carrying out the optimal value of operating parameters are shown in this paper. What’s more, some new ways are proposed to integrate the optimal control aspects of multi-variate, multiple targets and multiple constraints for hydrogen fueled engines by changing the multi-objective and multi-constraint optimal control into the single-target integrated optimal control.