A Multi-stage Heuristic Algorithm for Matching Problem in the Modified Miniload Automated Storage and Retrieval System of E-commerce

E-commerce, as an emerging marketing mode, has attracted more and more attention and gradually changed the way of our life. However, the existing layout of distribution centers can＇t fulfill the storage and picking demands of e-commerce sufficiently. In this paper, a modified miniload automated storage/retrieval system is designed to fit these new characteristics of e-commerce in logistics. Meanwhile, a matching problem, concerning with the improvement of picking efficiency in new system, is studied in this paper. The problem is how to reduce the travelling distance of totes between aisles and picking stations. A multi-stage heuristic algorithm is proposed based on statement and model of this problem. The main idea of this algorithm is, with some heuristic strategies based on similarity coefficients, minimizing the transportations of items which can not arrive in the destination picking stations just through direct conveyors. The experimental results based on the cases generated by computers show that the average reduced rate of indirect transport times can reach 14.36% with the application of multi-stage heuristic algorithm. For the cases from a real e-commerce distribution center, the order processing time can be reduced from 11.20 h to 10.06 h with the help of the modified system and the proposed algorithm. In summary, this research proposed a modified system and a multi-stage heuristic algorithm that can reduce the travelling distance of totes effectively and improve the whole performance of e-commerce distribution center.

Automatic Measurement and Control Design of Sea Wave Energy Storage and Seawater Desalination Device

The application of seawater desalination has become more and more popular. The reverse osmosis membrane method is one of its applications, but it consumes more energy resources and produces freshwater with high cost. The four-column floating bed we designed has low investment and is simple and easy to operate. The sea wave energy storage and seawater desalination device produced by this method has greatly reduced the cost of freshwater produced. This paper focuses on the design of the automatic measurement and control loop of the device.

Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure:A case study in Sweden

Due to associated uncertainties,modelling the spatial distribution of depth to bedrock(DTB) is an important and challenging concern in many geo-engineering applications.The association between DTB,the safety and economy of design structures implies that generating more precise predictive models can be of vital interest.In the present study,the challenge of applying an optimally predictive threedimensional(3D) spatial DTB model for an area in Stockholm,Sweden was addressed using an automated intelligent computing design procedure.The process was developed and programmed in both C++and Python to track their performance in specified tasks and also to cover a wide variety of diffe rent internal characteristics and libraries.In comparison to the ordinary Kriging(OK) geostatistical tool,the superiority of the developed automated intelligence system was demonstrated through the analysis of confusion matrices and the ranked accuracies of different statistical errors.The re sults showed that in the absence of measured data,the intelligence models as a flexible and efficient alternative approach can account for associated uncertainties,thus creating more accurate spatial 3D models and providing an appropriate prediction at any point in the subsurface of the study area.

Characterizing three-dimensional features of Antarctic subglacial lakes from the inversion of hydraulic potential——Lake Vostok as a case study

To estimate basal water storage beneath the Antarctic ice sheet, it is essential to have data on the three-dimensional characteristics of subglacial lakes. We present a method to estimate the water depth and surface area of Antarctic subglacial lakes from the inversion of hydraulic potential method. Lake Vostok is chosen as a case study because of the diverse and comprehensive measurements that have been obtained over and around the lake. The average depth of Lake Vostok is around 345±4 m. We estimated the surface area of Lake Vostok beneath the ice sheet to be about 13300±594 km^2. The lake consists of two sub-basins separated by a ridge at water depths of about 200–300 m. The surface area of the northern sub-basin is estimated to be about half of that of the southern basin. The maximum depths of the northern and southern sub-basins are estimated to be about 450 and 850 m, respectively. Total water volume is estimated to be about 4658±204 km^3. These estimates are compared with previous estimates obtained from seismic data and inversion of aerogravity data. In general, our estimates are closer to those obtained from the inversion of aerogravity data than those from seismic data, indicating the applicability of our method to the estimation of water depths of other subglacial lakes.

Study on the Cap Rock Deformation of Hutubi Underground Gas Storage by GPS Observations

The deformation responses of surface cap rocks of Underground Gas Storage( UGS) in Hutubi,Xinjiang during gas injection and production were investigated with the GPS data recorded by the deformation monitoring network,which includes 13 observation sites. The time series of three-dimensional deformation of the surface cap rocks was obtained in the UGS operation process,and the deformation signals in different phases were identified by combining the GPS data with wellhead pressure data. The results show that the respiration response of surface cap rock deformation is obvious during gas injection and production of UGS,and the surface deformation due to a 1MPa change of wellhead pressure is 1. 02 mm in gas injection and 1. 24 mm in gas production horizontally, and- 1. 11 mm in gas injection and 0. 86 mm in gas production vertically.

考虑能耗指标的双层自动化立体仓储系统布局研究

为解决仓储系统运行过程中能源消耗过大的问题,针对双层自动化立体仓库进行了能耗分析,建立了双层仓储系统存储、检索任务时间模型以及考虑物品自重的穿梭车(提升机、电梯)运动能耗模型,并利用仿真实验研究了仓库中自动小车及提升机的速度、加速度,货架布局对于仓库运行能耗、吞吐量的关系和影响。实验结果显示增加穿梭车速度、加速度都会提升系统吞吐量,速度对吞吐量的提升更大;增加电梯加速度、速度会适当降低能耗。达到吞吐量500条件下,新的系统布局可以降低20%左右的能耗并提升2.7%的吞吐量,帮助物流企业建立更加合理的仓库布局设计,从而减少存储和检索过程中的能源消耗。

自动化立体仓库退库货位优化问题及其求解算法

针对自动化立体仓库出库作业过程中剩余货物退库问题,以堆垛机作业总能耗最小化为目标,以退库货位分配为决策变量,建立了自动化立体仓库退库货位优化模型,提出了基于深度强化学习的自动化立体仓库退库货位优化框架。在该框架内,以立体仓库实时存储信息和出库作业信息构建多维状态,以退库货位选择构建动作,建立自动化立体仓库退库货位优化的马尔科夫决策过程模型;将立体仓库多维状态特征输入双层决斗网络,采用决斗双重深度Q网络(dueling double deep Q-network,D3QN)算法训练网络模型并预测退库动作目标价值,以确定智能体的最优行为策略。实验结果表明D3QN算法在求解大规模退库货位优化问题上具有较好的稳定性。

基于3D穿梭车的活立方密集仓储系统及存取货调度研究

为满足新时代自动化密集仓储系统的需求,在保持高仓储密度的同时,也需重视系统的灵活性与高效性。因此,结合活立方密集仓储系统的多倍深存储和3D穿梭车仓储系统中的六向移动技术,提出以三维自主移动穿梭车为核心的活立方密集仓储系统。针对该系统中的存取货调度问题,建立了基于整数规划的三维网络流模型。为比较仓储密度相同时,包含提升机的传统活立方密集仓储系统与以三维自主移动穿梭车为核心的活立方密集仓储系统在存取货效率方面的性能,在不同系统配置下通过大量算例进行了数值实验,结果表明:以三维自主移动穿梭车为核心的活立方密集仓储系统在存取货时间上平均节省30%,系统效率有着较为显著的提高;模型在不同系统配置下均具有良好的求解性能,验证了三维网络流模型的有效性与通用性。

大型LNG储罐三种高效自动化焊接工艺对比研究

我国建造储存绿色能源LNG用储罐单台已达27万m^(3),针对传统的SMAW焊接效率低、含有锰蒸汽和CO_(2)的烟尘等问题,采用热丝TIG,FCAW及MIG三种自动焊方法,进行了大量的试验研究,从而使LNG储罐的施焊环境大大改善,焊接效率及质量均大幅提升。结果表明,自动焊焊缝表面成形均远好于SMAW;焊接效率为MIG最高;焊接接头低温冲击韧性为热丝TIG最优。目前三种自动焊对现场组装精度要求均高于SMAW,热丝TIG对组装精度要求最高,因此尚需进一步提升自动化水平,以便在工程中大量推广应用。

新能源侧储能系统自治运行的协调控制策略研究

随着“双碳”目标下的新能源占比逐年增加,电网稳定性要求与新能源波动性的冲突愈发凸显,新能源侧标配储能成为解决冲突的重要手段,各地也相继出台了新能源配备储能的相关政策,新能源发电侧配备储能系统的场站逐步增多,为提升新能源发电侧储能系统的深度利用率,提出了储能系统自治运行的协调控制策略。所提策略依据储能系统的现有应用方式,结合一次调频场景、自动发电控制场景、功率预测场景、储能充放电场景,设计了总体技术框架,并进一步探究了各场景下的协调控制策略。通过搭建仿真系统对协调控制策略进行论证,仿真结果表明结合应用场景设计的协调控制策略可以实现储能系统的自治运行,显著提升运行效果。

烟草行业自动化立体仓库的可视化盘点技术与方法研究

文章结合某烟草企业自动化立体仓库(Automated Storage/Retrieval Systems, AS/RS)存货盘点管理特点和实际需求,建立了一种基于图像回传方法与信息化技术的实施框架。在此基础上,设计了多种存货盘点模式以满足差异化的需求,并予以了实施和应用验证,为烟草行业AS/RS实现安全、高效、柔性和可追溯的存货盘点提供了一个有效的解决方案。最后,对图像自动识别技术在其中的应用进行了算法设计和可行性分析,为提升该行业AS/RS存货盘点的智能化水平提供了参考。

基于深度学习的货物盘点自动识别方法研究

文章针对自动化立体仓库(Automated Storage/Retrieval Systems,AS/RS)在高效及安全库存盘点、货物监控等方面的需求和存在的问题,提出了一种基于YOLOv3深度学习算法的货物异动及数量自动识别方法,并进行了算法实现。为验证该算法的有效性,文章以某烟草物流中心自动化立体仓库为对象进行了应用验证分析,结果表明该算法在经过小规模货物图像样本训练后即具备较高的识别能力,因此,采用该方法进行货物异动监控和数量自动识别具有较高的可行性和有效性。

基于虚拟资源自动化交付的云存储平台的设计与实现

随着计算机技术的飞速发展,人们已经全面进入互联网时代。数据化存储、多人资源共享已经成为现代信息传播的重要方式,但云存储平台的安全性一直令广大用户担忧。同时,云存储平台还存在数据隐私、性能不足等问题。文中提出了一种基于虚拟资源自动化交付的云存储平台,应用了虚拟资源自动化交互技术,以确保数据在传输和存储时的安全性与隐私性,满足了用户的性能需求。该设计将服务器、存储和网络虚拟化,选择了云存储的技术栈,设计了云存储的体系结构,并实施了数据加密与故障恢复策略。针对云存储平台的设计与实现,文中通过开源云存储平台,利用开源虚拟化技术搭建了云存储平台架构,最后对该云存储平台进行了测试。

“储检一体化”物资质量自动化抽检系统研究

随着配网设备的大幅增加,物资质量的控制与保障成为行业关注的焦点。针对传统物资质量检测流程存在的效率低下和人力资源投入大等问题,文章提出了一种“储检一体化”物资质量自动化抽检方法及其自动化设备的应用研究。通过构建储检一体化中心库,采用自动化、信息化的检测手段,实现物资自动流转、智能化检测及数据分析,显著提高了检测效率和准确性。

基于改进IVNSA的RGV/ASR仓储系统出入库调度算法

针对自动化立体仓库(AS/RS)中环形穿梭车(RGV)和空中分拣机器人(ASR)协同调度问题,以最小化运输时间为目标,建立了RGV/ASR仓储系统的出入库问题调度模型,并提出改进变邻域搜索算法(IVNSA)对问题模型进行求解。首先,设计双序列编码方式优化搜索空间;其次,针对任务调度顺序设计全局综合搜索算子,扩大了算法搜索空间,同时受生物体激素调控机制启发,提出一种基于生物体激素调控机制的局部深度搜索算子,提高了算法的局部搜索深度;最后,通过对比实验验证了所提算法的优越性和有效性。

Fabrication of three-dimensional WO_(3)/ZnWO_(4)/ZnO multiphase heterojunction system with electron storage capability for significantly enhanced photoinduced cathodic protection performance

A novel three-dimensional hierarchical WO_(3)photoelectrode was prepared by solvothermal method,and ZnO was deposited on its surface by electrochemical method.The WO_(3)/ZnWO_(4)/ZnO multiphaseheterojunction photoelectrode was prepared by further annealing treatment to explore the photoinduced cathodic protection(CP)performance.Compared with WO_(3)and ZnO,the photoinduced CP and electron storage capacity performance of WO_(3)/ZnWO_(4)/ZnO is significantly improved in 3.5%NaCl solution without adding any hole scavenger.The electron storage capacity of the WO_(3)/ZnWO_(4)/ZnO heterojunction makes it possible to continuously protect metallic materials in the dark after switching off the light,which can realize long-term and effective photoinduced CP.

The Complexity and On-Line Algorithm for Automated Storage and Retrieval System with Stacker Cranes on One Rail

This paper considers an on-line scheduling and routing problem concerning the automated storage and retrieval system from tobacco industry. In this problem, stacker cranes run on one common rail between two racks. Multiple input/output-points are located at the bottom of the racks. The stacker cranes transport bins between the input/output-points and cells on the racks to complete requests generated over time. Each request should be accomplished within its response time. The objective is to minimize the time by which all the generated requests are completed. Under a given physical layout, the authors study the complexity of the problem and design on-line algorithms for both one-stacker-crane model and two-stacker-crane model. The algorithms are validated by instances and numerical simulations.

Cellular automata modelling of phase-change memories

A novel approach to modelling phase-transition processes in phase change materials used for optical and electrical data storage applications is presented. The model is based on a cellular automaton （CA） approach to predict crystallization behaviour that is linked to thermal and electrical simulations to enable the study of the data writing and erasing processes. The CA approach is shown to be able to predict the evolution of the microstructure during the rapid heating and cooling cycles pertinent to data storage technology, and maps crystallization behaviour on the nanoscale. A simple example based on possible future nonvolatile phase-change random access solid-state memory is presented.

面向管材存储的自动化立体仓库货位优化

文章以自动化立体仓库(automated storage and retrieval system,AS/RS)中管材的货位分配为研究对象,采用悬臂式货架进行存储,以存取效率、货架稳定性和货架平衡性为原则,建立多目标货位优化模型;设计粒子群算法(particle swarm optimization,PSO)和遗传算法(genetic algorithm,GA)的混合算法求解模型,使用MATLAB编程并运行汽车制管厂的实例数据进行仿真分析。结果表明,该文方法相较于传统PSO算法和GA算法具有一定的优越性,能够有效提高AS/RS的作业效率和货架安全性,对面向管材存储的AS/RS研究具有一定的理论和实践意义。

基于动态规划算法的网格流系统AGV调度研究

网格流(GridFlow)系统是将基于拼图的存储(puzzle-based storage,PBS)系统中传送带技术替换为自动导引车(automated guided vehicle,AGV)技术的一种密集存储系统。与PBS系统相比,该系统具有更低的成本投入和更高的柔性。目前,网格流系统的研究仍停留在单空位单AGV取货问题上,其目标是货物取货时间最短。针对单空位网格流系统取货问题,引入两辆AGV来缩短取货时间,设计动态规划算法得到最优解,并通过状态压缩减少搜索空间,大幅度提高求解速度。数值实验表明:引入两辆AGV明显改善了系统的取货时间,相对于一辆AGV平均节省时间在40%以上。