自动化立体仓库的关键技术

自动化立体仓库由仓库建筑体、货架、托盘系统、堆垛机、托盘输送机系统、控制系统、计算机管理和调度系统组成,其中堆垛机、控制系统、计算机管理和调度系统最关键,它们反映了自动化立体仓库的先进程度,是发挥自动化立体仓库信息集成优势的基础。本文详细介绍自动化立体仓库的这几个组成部分及其所应用的技术。1堆垛机技术堆垛机是自动化立体仓库中的主要作业机械,其用途是将位于巷道口的货物存入货架,或者取出货架内的货物运送到巷道口。它是自动化立体仓库中最关键的设备。从机械结构方面,堆垛机可分为单柱结构和双柱结构。欧、美特别是…     

自动化立体仓库堆垛机精确控制技术的研究

介绍自动化立体仓库的系统组成结构、工作流程、位置控制技术。结合机电一体化技术,完成了自动化立体仓库巷道堆垛机行走机构、升降机构、伸缩货叉机构PLC控制系统设计。着重说明PLC在自动化立体仓库堆垛机精确控制方面的应用。     

仓储控制系统堆垛机设计方案规划

自动化立体仓库具有储存货物量大、货物定位准确、货物搬运方便、整体方案设计方便的优点。要想实现自动化立体仓库的自动化和智能化,最根本的基础便是堆垛机。文中着重介绍了巷道式堆垛机控制系统,并且提出了具体动作设计思路。     

双穿梭板密集存取自动化立体仓库专家系统

设计了一种具有2台自动穿梭板和1台巷道堆垛机的双穿梭板密集存取自动化立体仓库，提高了立体仓库的存储密度，并采用专家系统对穿梭板和堆垛机进行优化调度，提高了作业效率。该专家系统通过在自动化物流实验室中的完善和应用，系统的作业效率达到52盘／h。     

基于S7—200PLC的立体仓库堆垛机控制系统设计

以单巷道的自动化立体仓库为例。介绍了自动化立体仓库中堆垛机的自动控制系统设计方法和工作原理,描述了系统工作过程和硬件设计。实际应用表明,系统运行取得了较好的控制效果。     

自动化立体仓库堆垛机的设计

随着计算机信息技术的发展，现代企业生产规模的不断扩大和竞争的日益加剧，市场对企业物流系统提出了新的要求，自动化立体仓库越来越受到关注并得到广泛应用。堆垛机是立体仓库中关键的起重、搬运设备，本介绍了有轨巷道式双立柱堆垛机的结构和特点，并对它的设计要点进行了分析和讨论。     

基于Flexsim的堆垛机效率计算仿真法简析

巷道堆垛机是自动化立体仓库中实现货物自动存取的关键设备,论文总结了典型自动化立体仓库直道型堆垛机效率计算的几种传统方法,通过实例介绍了利用Flexsim软件仿真计算得到堆垛机出入库能力的仿真分析法,并对比分析得到了仿真分析法相对于经验法、运动学建模计算法等传统方法的优势所在。对自动化立体仓库中堆垛机及其工况的设计选用,具有一定的参考价值。     

自动仓库用堆垛机的位置控制

巷道式堆垛机是自动化立体仓库内物料搬运的主要设备,它的控制方式、运行速度图和停车准确度是表示仓库自动化水平的重要参数。如何按照给定的命令准确而迅速地控制堆垛机各机构的位置,是堆垛机设计人员面临的     

基于粒子群算法的立体仓库系统堆垛机作业路线优化

运用粒子群算法优化立体仓库系统堆垛机作业路线。实际应用证明,该算法用于自动化立体仓库系统堆垛机作业路线优化是有效可行的。     

基于油田管类产品堆垛机器人结构设计和强度分析

双立柱有轨巷道堆垛机是自动化立体仓库中应用最广泛的物料搬运设备,也是物流仓储系统最重要的设备。此异型堆垛机器人基于油田钻井管类自动化存储设计的,整体控制系统优化了普通堆垛机的控制系统。机械结构更适合管类产品的自动化存储,自动化立体仓储已成为企业现代化的标志之一,稳定可靠实用的堆垛机器人是关键。此堆垛机器人的稳定可靠性的关键在于机械手部,文中对机械手部分进行力学分析强度校核。     

Modelling and Simulation of Integrated Operations and Information Systems in Manufacturing

This paper presents a novel method to determine the relative impact on logical interactions and interrelationships between operations and information systems within a manufacturing environment by formulating an integrated model, in which both operational function and information processing function are modelled and simulated to predict system behaviour and to obtain an optimal solution that maximises system performances. To achieve this, modelling and simulation of a flexible printed circuit board assembly (PCBA) system has been implemented. The research has shown that applying this approach is valuable for analysing a wide range of manufacturing systems (CIM, FMS, dynamic process control systems, etc.).     

Optimal production control and marketing plan in two-machine unreliable flexible manufacturing systems

In this paper, we have developed a production planning and marketing model in unreliable flexible manufacturing systems with inconstant demand rate that its rate depends on the level of advertisement on that product. The proposed model is more realistic and useful from a practical point of view. The flexible manufacturing system is composed of two machines that produce a single product. Markovian models frequently have been used in modeling a wide variety of real-world systems under uncertainties. Therefore, in this paper, the inventory balance equation is represented by a continuous-time model with Markov jump process to take into account machines breakdown. The objective is to minimize the expected total cost of the firm over an infinite time horizon. While the total cost consists of the cost of the product surplus, the cost of the production, and the cost of the advertisement. In the process of finding a solution to the problem, we first characterize an optimal control by a class of linear stochastic system where some parameter values are subject to random jump. By defining quadratic cost functions and characterizing the associated limiting optimal control problem, a discrete-time approximation model and an asymptotic optimal control model are developed. It is clear that such a solution exists and can be obtained as a limit of a monotonic sequence with solving the steady-state Riccati equation.     

Optimization of flexible process planning by genetic programming

The traditional manufacturing system research literature generally assumed that there was only one feasible process plan for each job. This implied that there was no flexibility considered in the process plan. But, in the modern manufacturing system, most jobs may have a large number of flexible process plans. So, flexible process plans selection in a manufacturing environment has become a crucial problem. In this paper, a new method using an evolutionary algorithm, called genetic programming (GP), is presented to optimize flexible process planning. The flexible process plans and the mathematical model of flexible process planning have been described, and a network representation is adopted to describe the flexibility of process plans. To satisfy GP, it is very important to convert the network to a tree. The efficient genetic representations and operator schemes also have been considered. Case studies have been used to test the algorithm, and the comparison has been made for this approach and genetic algorithm (GA), which is another popular evolutionary approach to indicate the adaptability and superiority of the GP-based approach. The experimental results show that the proposed method ispromising and very effective in the optimization research of flexible process planning.     

制造系统的状态监测与多传感器信息融合

运用多传感器信息融合理论与技术，针对高级制造系统设备与过程状态监测的特点、难 与要求，探讨建立柔性制造单元智能状态监测与诊断决策模型，并给出一具体ＦＭＣ状态监测系统及监测结果分析。     

自动化立体仓库巷道堆垛机的振动测试与工作模态分析

在运行条件下对自动化立体仓库巷道堆垛机进行了振动测试。使用频域分解技术(FDD)和时域随机状态子空间辨识技术(SSI)分别从加速度响应数据提取了堆垛机的工作模态参数，包括固有频率、阻尼比和模态振型。在0～87Hz频带内采用两种不同的模态参数辨识方法估计的5个模态相当一致。分析结果表明：两种辨识算法都是有效的，估计的模态参数是可靠的。分析结果对于堆垛机的动力学修改和运行状态监控有重要的应用价值。     

Application of an efficient modified particle swarm optimization algorithm for process planning

In the modern manufacturing system, many flexible manufacturing system and NC machines are introduced to improve the production efficiency. Therefore, most parts have a large number of flexible process plans. However, a part can use only one process plan in the manufacturing process. So, the process planning problem has become a crucial problem in the manufacturing environment. It is a combinatorial optimization problem to conduct operations selection and operations sequencing simultaneously with various constraints deriving from the practical workshop environment as well as the parts to be processed. It is a NP-hard problem. In order to solve this problem effectively, this paper proposes a novel modified particle swarm optimization (PSO) algorithm to optimize the process planning problem. To improve the performance of the approach, efficient encoding, updating, and random search methods have been developed. To verify the feasibility and effectiveness of the proposed approach, seven cases have been conducted. The proposed algorithm has also been compared with the genetic algorithm and simulated annealing algorithm. The results show that the proposed modified PSO algorithm can generate satisfactory solutions and outperform other algorithms.     

基于PC-BASE PLC的自动化立体仓库堆垛机控制系统设计

介绍了一种基于PC—Base PLC的自动化立体仓库堆垛机控制系统。PC—Base PLC可为用户提供C语言接口，用户可通过C语言编写定义功能模块，实现复杂控制和高级算法，控制方式更灵活、高效。     

An integrated control framework for flexible manufacturing systems

This paper presents the design, development, and implementation of an integrated control framework that provides a real-time supervisory control model with limited look-ahead capability for flexible manufacturing systems. Control goals and policies are modeled and characterized by a fuzzy rule base, which is integrated with the control model. The framework consists of a finite state machine generator and a controller. The generator model is equipped with an output function and output sets. The controller model has a four-stage decision-making structure. The controller monitors performance measures of the manufacturing system and reacts according to the changes in the system states in order to keep the performance measures at desired levels. The integrated framework has been implemented on a software platform in order to validate its effectiveness. The performance of the framework has been tested on a hypothetical flexible manufacturing system using a simulation .