燃油系统参数对分层燃烧甲醇发动机性能的影响

针对1130单缸柴油机研究了喷油嘴油线分布、喷油嘴孔数和喷油嘴针阀开启压力对分层燃烧甲醇发动机性能的影响。试验结果表明，燃油系统参数对分层燃烧甲醇发动机的性能有比较明显的影响。     

Steam Pressure Control of 1000 MW Ultra-Supercritical Coal-Fired Power Unit Based on Multi-Model Predictive Control

Ultra-supercritical(USC) coal-fired unit is more and more popular in these years for its advantages.But the control of USC unit is a difficult issue for its characteristic of nonlinearity, large dead time and coupling among inputs and outputs. In this paper, model predictive control(MPC) method based on multi-model and double layered optimization is introduced for coordinated control of USC unit running in sliding pressure mode and fixed pressure mode. Three inputs(i.e. valve opening, coal flow and feedwater flow) are employed to control three outputs(i.e. output power, main steam temperature and main steam pressure). The step responses for the dynamic matrix control(DMC) are constructed using the three inputs by the three outputs under both pressure control mode. Piecewise models are built at selected operation points. In simulation, the output power follows load demand quickly and main steam temperature can be controlled around the setpoint closely in load tracking control. The simulation results show the effectiveness of the proposed methods.     

机车转产换型过程中职工素质教育的实践与体会

随州机务段机车转产换型时间短、速度快,过渡平稳.成效为何如此显著?就是因为抓住了职工素质教育这一关键.四年多来,他们讲形势,教育职工重视学;优化环境,引导职工自觉学;建立机制,强迫职工必须学,终于出了成效.     

基于IPSO-Capsule-NN模型的中欧班列出口需求量预测

为提高中欧班列出口需求量的预测精度,提出将改进粒子群算法(IPSO)与胶囊神经网络(Capsule-NN)相结合的预测模型(IPSO-Capsule-NN)。与全连接神经网络不同,胶囊神经网络通过动态路由算法增强了模型的拟合能力和泛化能力。利用改进粒子群算法优化胶囊神经网络的神经元数量、迭代次数以及学习率,以克服人为设定模型参数随机性较大导致模型精确度不高的不足之处。此外,针对标准粒子群算法存在的缺点,提出一种非线性递减惯性权重并引入Levy飞行对粒子群算法的全局寻优能力和收敛速度进行优化。将采用spearman秩相关性分析得到的11个因素作为中欧班列出口需求量的影响因素并对其进行预测,结果表明:胶囊神经网络具有2层隐含层时,IPSO-Capsule-NN模型预测精度更高。