Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing,reinforcement learning and improved QRNN

The deterministic and probabilistic prediction of ship motion is important for safe navigation and stable real-time operational control of ships at sea. However, the volatility and randomness of ship motion, the non-adaptive nature of single predictors and the poor coverage of quantile regression pose serious challenges to uncertainty prediction, making research in this field limited. In this paper, a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved quantile regression neural network (QRNN) is proposed to explore the deterministic and probabilistic prediction of ship pitch motion. To validate the performance of the proposed multi-predictor integrated prediction model, an experimental study is conducted with three sets of actual ship longitudinal motions during sea trials in the South China Sea. The experimental results indicate that the root mean square errors (RMSEs) of the proposed model of deterministic prediction are 0.0254°, 0.0359°, and 0.0188°, respectively. Taking series #2 as an example, the prediction interval coverage probabilities (PICPs) of the proposed model of probability predictions at 90%, 95%, and 99% confidence levels (CLs) are 0.9400, 0.9800, and 1.0000, respectively. This study signifies that the proposed model can provide trusted deterministic predictions and can effectively quantify the uncertainty of ship pitch motion, which has the potential to provide practical support for ship early warning systems.     

水泥辊压机终粉磨系统的工业化应用

介绍了水泥辊压机终粉磨系统及运行情况,与辊压机联合粉磨系统生产的水泥以及所配制的混凝土进行了对比,水泥辊压机终粉磨系统电耗大幅降低,两种水泥所配制的混凝土性能相当。     

抄浆压包机控制方式和应用

介绍了压包机的工作原理、控制方式、逻辑联锁、液压系统以及压包机常见的故障和维修保养等。     

高大软岩边坡下开采程序研究

结合胜利煤田发生大型滑坡的露天矿地质赋存条件，以高大软岩边坡条件下松散物料压覆的煤炭资源安全高效回收为目标，提出采用“横采内排-尾随压脚”的开采程序方案将工作线从直线型变为“Π”字型。从地表水与地下水防治、边坡安全监测等方面提出了保证工程顺利实施的安全保障措施。计算分析了采用“横采内排-尾随压脚”开采程序方案的可观资源回收量及减少运距和提升高度带来的经济效益，同时对矿山实现可持续发展和安全开采的价值进行了预测。     

基于改进GSO的裂解炉原料切换策略研究(英文)

The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is pro-posed to deal with the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the“excel-lent”infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the new algorithm. Final y, the proposed algorithm is used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained.     

差分准对立学习多目标蚁狮算法

为解决多目标优化问题，对经典的蚁狮算法进行改进，提出了基于差分进化的准对立学习多目标蚁狮算法（DEQOMALO）。该算法针对蚁狮算法易陷入局部最优的不足，一方面，该算法引用差分进化的思想，充分利用种群和精英蚁狮的信息对原算法中蚂蚁个体的位置更新方式进行改进；另一方面采用反向学习策略对蚂蚁种群进行优化，将原种群个体和其准对立个体进行混合并择优作为新的种群，大大增加种群的多样性。选取典型的标准测试函数，将提出的算法与原始蚁狮算法以及其他传统进化策略优化的蚁狮算法进行比较。实验结果表明，改进算法在收敛性和分布性上均有很大程度的提升，在解决双目标优化问题上具有较好的鲁棒性和有效性。     

榨汁机的结构设计和分析

随着经济的不断发展,国民也越来越注重食品的品质和安全。目前中小食品企业在国内得到越来越多的关注和重视。榨汁机被广泛应用在食品行业,发挥着巨大的作用。汁液获取的三种方法包括机械榨取、理化获取、酶法提取。理化和酶法在使用过程中因会产生物理化学反应,导致其他副作用从而在使用上有极大局限性,机械榨汁由于其无副作用而被企业广泛应用在蔬菜、水果上。基于此,研究了螺旋式连续榨汁机,其核心思想是以压缩体积为基础的一种机械榨取机。首先介绍了榨汁机的设计思路;其次介绍了工作原理;最后展示了榨汁机的机械组成。与传统的榨汁机相比,该方法设计的榨汁机是通过变螺距变径螺杆,从而充分地挤出新鲜果汁,具有十分重要的实际研究意义。     

锻造液压机振动特性机液联合仿真

以YA32-315锻造液压机为研究对象，基于ADAMS、AMESim和ABAQUS平台，建立了锻造液压机弹性动力学联合仿真模型，研究了卸载冲击作用下锻造液压机均载和偏载工况的振动特性，分析了锻造力、系统压力、偏载量对振动特性的影响规律，结果表明：锻造力和偏载量越大，冲击越大；偏载量相同时，Y向振动大于X向振动；系统压力对振动影响不大。振动测试实验验证了联合仿真模型的正确性。     

Multi-objective optimization of hybrid PEMFC/Li-ion battery propulsion systems for small and medium size ferries

Hybrid Polymer Electrolyte Membrane Fuel Cells/Lithium-ion battery powertrains are a promising solution for zero-local-emissions marine propulsion. The present study aims to optimize the design and operation of such hybrid powertrain for small-size passenger ferries, taking into account the performance degradation of both fuel cells and batteries. A Mixed-Integer Linear-Programming approach and a hierarchical method are adopted to concurrently minimize the fuel cells degradation, the capital expenditure and the operating expenditure, while constraints are included in the model to limit the battery degradation. The results show that the proposed multi-objective optimization can lead to a reduction of fuel cells degradation by up to 65% compared to a cost-minimization only. However, this can imply an increase in the battery capacity by up to 136%. The proposed method has general validity, and it is a useful tool for both preliminary design and choice of the optimal energy management strategy for ships energy systems.