Proposing Adjustments to the Dry Season Inter-Reservoir Operation Rules of the Red River System to Improve Water Use Efficiency of the Reservoirs

The Red-Thai Binh River system is an important water resource to the Northern Delta, serving the development of agriculture, people’s livelihood and other economic sectors through its upstream reservoirs and a system of water abstraction works along the rivers. However, due to the impact of climate change and pressure from socio-economic development, the operation of the reservoir system according to Decision No. 740/QD-TTg was issued on June 17, 2019 by the Prime Minister of Government promulgating the Red-Thai Binh River system inter-reservoir operation rules (Operation rules 740) has some shortcomings that need adjustments for higher water use efficiency, meeting downstream water demand and power generation benefits. Through the results of water balance calculation and analysis of economic benefits from water use scenarios, this research proposed adjustment to the inter-reservoir operation during dry season in the Red River system. The result showed that an average water level of 1.0 - 1.7 m should be maintained at Hanoi during the increased release period.

Research on Ant Colony Algorithm in Vehicle Operation Adjustment Based on IOT

Automatic solution of vehicle operation adjustment is the important content in realizing vehicle traffic command automation on Internet of Things platform. Based on both the organization realization of Internet of Things platform and the merging vehicle operation adjustment into the Flow-Shop scheduling problem in manufacturing systems,this paper has constructed the optimization model with a two-lane vehicle operation adjustment. With respect to the large model solution space and complex constraints,a better solution algorithm is proposed based on ant colony algorithm for optimal quick solution. The simulation results show that the algorithm is feasible and the approximate optimal solution can be quickly obtained.

Nokia to adjust operations in China

Nokia will cut 10,000 jobs, or 19 percent of its total workforce, by the end of next year, it said on June 14. This is part of an

Optimal Operation for Baoying Pumping Station in East Route Project of South-to-North Water Transfer

Baoying pumping station is a part of source pumping stations in East Route Project of South-to-North Water Transfer in China. Aiming at the characteristics of head varying, and making use of the function of pump adjustable blade, mathematical models of pumping station optimal operation are established and solved with genetic algorithm. For different total pumping discharge and total pumping volume of water per day, in order to minimize pumping station operation cost, the number and operation duties of running pump units are respectively determined at different periods of time in a day. The results indicate that the saving of electrical cost is significantly effected by the schemes of adjusting blade angles and time-varying electrical price when pumping certain water volume of water per day, and compared with conventional operation schemes （namely, the schemes of pumping station operation at design blade angles based on certain pumping discharge）, the electrical cost is saved by 4.73%-31.27%. Also, compared with the electrical cost of conventional operation schemes, the electrical cost is saved by 2.03%-5.79% by the schemes of adjusting blade angles when pumping certain discharge.

Optimization on Water Resource System Operation Policy during Drought

The mixed linear programming model is commonly recognized to be an effective means for searching optimal reservoir operation policy in water resources system. In this paper a multi-objective mixed integer linear programming model is set up to obtain the optimal operation policy of multi-reservoir water supply system during drought, which is able to consider the operation rule of reservoir-group system within longer-term successive drought periods, according to the basic connotation of indexes expressing the water-supply risk of reservoir during drought, that is, reliability, resilience and vulnerability of reservoir water supply, and mathematical programming principles. The model-solving procedures, particularly, the decomposition-adjustment algorithm, are proposed based on characteristics of the model structure. The principle of model-solving technique is to decompose the complex system into several smaller sub-systems on which some ease-solving mathematical models may be established. The objective of this optimization model aims at maximizing the reliability of water supply and minimizing the maximum water-shortage of single time-period within water- supply system during drought. The multi-objective mixed integer linear programming model and proposed solving procedures are applied to a case study of reservoir-group water-supply system in Huanghe-Huaihe River Basin, China. The desired water-shortage distribution within the system operation term and the maximum shortage of single time-period are achieved. The results of case study verifies that the lighter water-shortage distributed evenly among several time-periods can avoid the calamities resulted from severe water shortage concentrated on a few time-periods during drought.

Impacts of automated passenger cars on the capacity of a freeway basic section: applicability in the determination of vehicle adjustment factors in mixed traffic

The highway capacity manual(HCM)provides a formula to calculate the heavy vehicle adjustment factor(fHV)as a function of passenger car equivalent factors for the heavy vehicle(ET).However,a significant drawback is that the methodology was established solely based on human-driven passenger cars(HDPC)and human-driven heavy vehicles(HDHV).Due to automated passenger cars(APCs),a new adjustment factor(fAV)might be expected.This study simulated traffic flows at different percentages of HDHVs and APCs to investigate the impacts of HDHVs and APCs on freeway capacity by analyzing their influence on fHV and fAV values.The simulation determined observed adjustment factors at different percentages of HDHVs and APCs(fobserved).The HCM formula was used to calculate(fHCM).Modifications to the HCM formula are proposed,and vehicle adjustment factors due to HDHVs and APCs were calculated(fproposed).Results showed that,in the presence of APCs,while fobserved and fHCM were statistically significantly different,fobserved and fproposed were statistically equal.Hence,this study recommends using the proposed formula when determining vehicle adjustment factors(fproposed)due to HDHVs and APCs in the traffic stream.

基于改进蚁群算法的自动落布车路径规划

针对自动落布车在使用蚁群算法(ant colony algorithm,ACA)进行路径规划过程中出现的收敛次数多、收敛速度较慢且容易陷入局部最优的问题,提出一种改进蚁群算法(improved ant colony algorithm,IACA)。首先对信息素挥发系数ρ进行自适应调整,令其做动态变化,克服算法的收敛次数过多,加快算法收敛速度,减少算法的收敛时间;其次引入细菌觅食算法中趋化操作的趋化步长因子对信息素更新公式进行改进,削减算法迭代的后期信息素浓度值,使算法在后期跳出局部最优值,提高算法全局搜索能力。利用MATLAB将改进后的算法在3种不同的栅格环境中进行仿真验证。结果表明:相比传统蚁群算法,改进后的算法收敛次数减少81.1%,最小路径长度减少6.3%,收敛时间减少20.7%。最后搭建ROS小车实验平台,利用ROS机器人系统对改进蚁群算法在模拟的织布车间环境中进行实验验证。结果表明:对比传统蚁群算法,改进蚁群算法在寻优时间上减少了8.6%。

ACCQPSO:一种改进的量子粒子群优化算法及其应用

针对量子粒子群优化算法前期易陷入局部极值点、后期寻优精度不高等问题,文章提出一种自适应交叉算子的混沌量子粒子群优化算法,并将其应用于BP神经网络超参数寻优。首先,利用Logistics映射初始种群为混沌序列进行最优解搜索,增强初始种群的随机性与遍历性,提高算法寻优能力;然后,通过纵向交叉操作进行种群中个体的信息交换,并引入自适应交叉概率公式,增加种群多样性,提高算法的寻优精度;最后,在实验中,一方面,选取8个函数在高低两个维度进行验证,同时进行Wilcoxon秩和检验分析以及消融实验,验证该算法相较其他算法的有效性;另一方面,通过算法优化BP神经网络应用到网络安全态势预测任务中,实验结果表明该算法收敛速度相较于对比算法有大幅度提升。

西南山区高速铁路非正常情况下列车运行调整探讨

西南山区与平原地区的地域特点存在显著差异,高速铁路运输组织在装备上、组织上、要求上明显不同。通过分析西南山区高速铁路非正常情况下列车运行调整类型,按轻微事故及严重干扰事故类型进行模型构建。以成渝高速铁路列车运行调整为例,计算验证结果表明,该模型求解速度快,具有较高的求解质量,对西南山区高速铁路非正常情况下干扰列车运行的不同场景均有一定的适应性,为提高山区高速铁路运行的安全系数提供支撑。

Method with reliable accuracy and fast speed for measuring operational current of HTS NI closed-loop coils in steady persistent-current-mode

This study proposes a method for measuring the operational current of high temperature superconducting(HTS)non‐insulation(NI)closed‐loop coils,which operate in the steady persistent‐current‐mode(PCM).HTS NI closed‐loop coils are promising for many easily‐quenching direct‐current(DC)applications,where their performance is determined by magnetomotive forces,total number of turns,and dimensions.As the primary interface parameter in an application system,the operational current must be accurately and rapidly measured.Generally,this is achieved by dividing the measured magnetic field by the coil constant.However,even if the influence of the screening current induced field(SCIF)is not considered,existing methods for the coil constant may be disturbed by the performance and location of Hall sensors,or experience a long measuring period.Therefore,a relatively accurate and fast method is proposed in this study,which is based on adjusting the output current of the adjustable power supply and monitoring the coil voltage as an indicator.The proposed method was validated through experiments and simulations using an equivalent circuit model coupled with a finite element method(FEM)model,and its current accuracy can be equivalent to the resolution of the employed power supply.It was demonstrated that this method reduced the requirements for Hall sensor’s performance and location,and has a more reliable accuracy in contrast to the simulation method.Compared to the experimentally conventional method,the proposed method presents a significantly faster speed.The impact of the SCIF was considered and proven to be negligible for the tested pancake coils.Even for coils whose coil constant vibrates owing to the SCIF,this method can be adapted to directly measure various operational currents.Furthermore,it was demonstrated that the measurement error can be influenced by the current discrepancy among turns when the coil is not in the steady PCM,and a procedure for reducing this error was proposed.

超大扬程变幅大型导叶式混流泵选型研究

浙江省杭州市九溪排涝泵站,装设有6台大型导叶式混流泵,单机流量50 m^(3)/s,单台电动机功率10000 kW,为国内目前在建单机流量最大的导叶式混流泵。水泵受上游来水和下游钱塘江潮位的影响,扬程变化幅度很大,最低扬程1.71 m,设计扬程14.0 m,最高扬程15.4 m。为保证泵组在超大扬程变化范围内保持安全稳定运行,结合九溪泵站建筑物布置和运行情况,充分利用下游挡潮闸提高最低扬程,详细分析比较全调节和变频调节对优化低扬程运行工况的作用,并采取综合措施提高泵组结构设计刚强度,从多角度对泵组运行工况和选型方案进行优化分析,并提出泵组变频调节和运行优化建议,为类似泵站提供参考。

客运需求局部缩减条件下列车开行方案调整研究

因疫情或其他特定事件导致局部客运需求缩减时,铁路各OD之间客流规模均发生相应变化。如何保证铁路运输生产连续性来调整列车开行方案是铁路运营企业面临的难题。归纳了应对不同客运需求缩减场景的列车开行方案调整策略,包括列车停运、列车编组调整、列车运行区段调整、列车停站办理客运作业调整及关联售票调整。以此为基础,构建列车开行方案调整模型,对列车停运、列车停站不办理客运作业和列车编组调整综合决策,其中列车停运考虑整交路以实现决策在实际中的适用性。通过算例证明了模型的有效性,在实际线路案例中的结果显示,通过优化列车开行方案运力配置,调整后结果在供需匹配的基础上可以控制运营成本,减少需求缩减带来的损失。

计及出行行为调整的综合能源系统双层博弈优化策略

针对园区综合能源系统中各个主体的利益难以兼顾及新能源汽车出行计划临时变动会对系统运行带来不利影响的问题,提出了考虑车主出行行为调整的电热氢综合能源系统双层博弈优化运行策略。首先,建立以能源运营商(IESO)、负荷聚合商(ULA)和新能源汽车负荷聚合商(NEVLA)为主体的Stackelberg-Shapley双层博弈框架;其次,将双层博弈框架嵌入两阶段模型预测控制滚动调度模型中,并在第1阶段引入惩罚博弈机制,抑制车主按照个人意愿无序改变充电计划的行为;最后,联合沙丘猫优化算法与CPLEX求解器对博弈模型进行求解。仿真结果表明:所提策略与无惩罚博弈机制的滚动优化运行策略及考虑惩罚博弈机制的单断面优化运行策略对比,能源运营商的收益分别提高了4.43%、7.75%,负荷聚合商的剩余价值分别提高了6.48%、12.18%,电动汽车负荷调度成本分别减少了13.64%、4.43%,验证了所提策略具有更好的系统运行经济性。

列车延误背景下高速铁路旅客满意度研究

为提升延误处置策略的人性化水平,研究高速铁路列车延误情况下的旅客满意度优化问题。首先,以列车到站延误时间为自变量,考虑旅客乘车坐席、旅客出行距离和车厢拥挤程度等影响因素,构建列车延误背景下的旅客满意度变化模型。其次,推导模型的各种数学性质。最后,为验证模型有效性与适用性,选择运行调整问题为研究对象,将所提模型转化为运行调整优化模型的目标函数,设置以济南西—南京南下行区段为背景的多组算例进行实例分析。计算结果表明,旅客满意度变化模型适用于多种延误场景,能够在复杂的线路运营情况下指导列车延误的实时优化,得到旅客满意度变化更小的延误实时处置策略,展示了所提模型的良好性能。

高速铁路智能CTC多区段列车运行协同调整方法研究

为破解调度集中系统(CTC)在多区段调整方面的技术瓶颈,支撑智能高铁2.0时代多线成网运营的智能化行车调度运用场景,梳理并分析现阶段CTC智能调整方面的研究成果及问题,明确了调度管理边界及CTC系统边界将长期存在的客观性,从模型构建、动态协同联盟定界机制、求解算法等方面对多区段调整方法进行探讨。立足于CTC系统现状及规划实施的智能化技术路线,从多区段调整业务主体、信息存储、相关信息综合利用技术、动态信道分配等方面,分析CTC承载多区段调整业务的可行性及技术研究路线。分析研究结果表明:基于智能CTC的多区段列车运行协同调整方法研究具有较强的可行性和紧迫性。分析过程及相关结论对大范围智能行车调度的深入研究具有参考价值。

延误条件下城市轨道交通列车运营调整方法研究

受出行需求、出行时间及突发情况的影响,城市轨道交通列车存在晚点的情况,给出行者与地铁运营部门均带来极大不便。在分析列车延误产生原因的基础上,总结归纳各类城市轨道交通列车延误发生后的调整措施,并对比其优缺点。以青岛地铁9号线为例,假设延误发生在城子站时,以延误恢复时间最短、乘客平均等待时间最少为评价函数,分析赶点及跳站方式的调整效果,赶点方式在延误时间小于2.5 min时可以有效调整,在延误时间大于2.5 min时可以采用跳站方式;在实际运营时根据倾向性选择跳停站点,如果倾向于提高行车效率,在跳站时需要选择客流量较少且尽量多的车站,案例中模式2最优,如果倾向于减少对客流的影响,可以减少跳停站个数,如案例中的模式6至模式8。

带式输送机稳定运行的研究

带式输送机在运转过程中始终受到力的作用,受力不均匀时会出现跑偏的情况。通过研究皮带机运行过程中的受力情况,以及皮带运转过程中的不同现象,详细分析造成皮带跑偏的原因,从而达到快速寻找故障点的目的,及时解决皮带跑偏问题。针对长期性的跑偏问题,提出了部分改进方案并分析利弊,从而达到有效提升皮带稳定性的目的。

资源拼凑影响制造企业组织敏捷性的机制研究:组织分权的调节作用

制造企业可否通过资源拼凑活动的开展来有效提升组织敏捷性在当前研究中存在争议。为弥补当前研究的不足之处,本研究基于“优势来源-位置优势”的理论框架和组织结构的权变视角来探究资源拼凑对制造企业运营敏捷性和市场敏捷性的差异化影响,并考虑组织分权的权变影响。通过对208家制造企业的问卷调查数据进行实证分析,本文发现:资源拼凑对运营敏捷性具有显著的促进作用,资源拼凑与市场敏捷性之间呈U型关系;高水平组织分权会增强资源拼凑与运营敏捷性之间的关系,也会增强资源拼凑与市场敏捷性之间的关系。上述研究发现明晰了资源拼凑将如何以及在何种情景下会提升制造企业的组织敏捷性,这将有效助力制造企业实现高质量发展。

哈尔滨局集团公司货检站功能和布局优化对策研究

铁路货运检查是保证货物安全的基础工作,是铁路运输安全的重要组成部分。通过对哈尔滨局集团公司货检站作业人员状态、车流和作业量分布、货检作业设备配备等情况进行全面梳理分析,结合当前货检站存在的各类问题,按照技防替代物防、物防替代人防的总体思路,提出全局货检站功能和布局优化的主要对策,即强化货检基础管理提升作业能力、发挥设备优势探索机检作业模式、优化货检功能布局提高作业效率、优化货检作业流程提高作业标准、全面加强全过程全流程作业质量等,构建“人防、物防、技防”三位一体的货检作业新模式,确保哈尔滨局集团公司货检站作业质量、作业效率和劳动生产率的全面提升,助力铁路货运高质量发展。

除硝装置的稳定运行及优化

本文对除硝装置在调试过程中出现的一些问题进行了总结,并在后期对装置进行了优化,目前系统硫酸根稳定在5 g/L左右。