Travel time and alternative configurations analysis for automated storage/retrieval systems based on geometrical method

In order to evaluate the efficiency of the automated storage/retrieval system(AS/RS)accurately,and compare different layouts of the AS/RS using mean travel time,under randomized storage conditions,an exact,geometry-based analytical model is presented.The model can be used to compute the expected single-command and dual-command travel time for a storage/retrieval(S/R)machine which can travel simultaneously horizontally and vertically as it moves along a storage aisle.The rack may be either square in time or non square in time.Additionally,the alternative layouts of the AS/RS and travel-time models are examined.Comparing with setting the I/O point at the left-lower corner of the rack,setting the I/O point at any point at the vertical edge can help enhance the efficiency of the AS/RS.

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.

信息技术在果蔬冷库系统中的应用

冷库是延长果蔬贮藏期的关键设施,而应用信息技术可以实现果蔬冷库的冷藏装置自动化控制、果蔬温度数据采集分析以及冷库内设备的物联网应用等功能,进而达到精确调控果蔬冷库的温度、降低能耗、提高管理效率的目的。随着人工智能算法和区块链技术的发展,冷库系统将更加智能化和网络化,不仅可以优化果菜的贮存和运输环境,还能实现果蔬从种植到消费者手中的全程质量可追溯。本文探讨了信息技术在果蔬冷库系统中的应用及未来发展趋势,包括自动化控制、数据采集分析、物联网技术和人工智能算法。这些技术的应用提高了冷库运营的效率和安全性,为实现果蔬贮存的预测优化和质量可追溯性提供了有力支持,有助于保障食品安全和供应链的稳定。

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。

混合蛙跳算法在旋转货架货位优化中的应用

以集群旋转式货架存储货物的自动化立体仓库为研究对象,以提高货架整体和运动状态的单层稳定性、货物相关性和出入库效率等基本货位优化原则为目标,提出一种通用性较强的多参数混合蛙跳算法,对多目标优化问题进行建模,使用MATLAB工具进行仿真。通过实验结果的对比可知,多参数混合蛙跳算法比混合蛙跳算法具有一定的优越性,并且对于分析其他问题的适应性较强,对于多目标优化问题具有一定的理论意义。

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。

液化烃储罐自动化安全设计方案

随着国家及地方应急管理部门对危险化学品储罐区的从严管控要求,危险化学品储罐的自动化设计势在必行。我国石油化工行业由于历史原因,液化烃储罐大多采用常规温度压力液位指示,人工操作方式,不符合自动化设计本质安全要求。

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。

自动化技术在油气储运过程中的应用

随着经济发展和石油化工技术的提升,我国油气行业迎来“黄金期”,长途油气储运管道如西气东输管道的投入使用,标志着我国在油气储运技术上的新突破。本文探讨了自动化技术在油气储运中的应用,包括提高设备工作效率、动态监测管道运行状况,以及在原油脱水和长距离运输中的具体应用。自动化技术通过实时监测和集中管理,提高了油气储运的安全性和效率,降低了事故发生率,推动了油气储运行业的现代化和安全发展。

“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。

基于光储充放一体化的电气自动化智能控制系统设计研究

在当今世界能源短缺、环境恶化的背景下,可再生能源已经成为世界各国关注的焦点。其中,光储充放一体化是一种新型的可再生能源开发模式,已引起人们的广泛关注。开展光储充放一体化智能配电系统的设计研究,通过对光伏、储能、能源管理和充电设施的综合设计,实现对电能的高效智能使用和管理。从光存储、充电和放电等方面进行了研究,并对其设计思想和工程应用进行论述。