矿井提升机制动系统存在的问题与改进

从矿井提升机制动系统常出现的问题着手,分析了引起提升机制动系统失效的主要原因,依此提出改进和预防措施。文章对提高提升机制动系统的可靠性具有一定的参考价值。     

基于SIMADYN D的矿井提升机全数字行程控制器研究

基于SIMADYN D全数字控制系统，研制、开发出矿井提升机全数字行程控制系统。此行程控制系统具有S形速度曲线自动形成、预置速度给定值、速度监视与控制功能。     

浅谈电动葫芦常见故障的诊断及处理

0引言 电动葫芦属于轻小型起重设备,主要应用于10吨以下的桥门式起重机.由于其轻巧灵活,形式多样,操作简单,维修方便,在企业中应用比较广泛.下面对电动葫芦一些常见故障的原因进行具体分析.     

大型矿用提升机计算机控制系统设计应用

利用工业计算机、PLC、全数字深度指示器和人机界面软件,组成了提升机计算机控制系统.该系统经现场实际应用表明,系统运行稳定可靠,控制精度高,得到用户认可.     

多绳摩擦式提升机天轮轴瓦结构改进研究

针对宝雨山矿副井天轮在使用过程中存在异常响声和轴瓦固定螺栓损坏的问题,提出了轴瓦改进方案。通过对目前在用多绳摩擦式提升机天轮的结构、运行原理分析,将两瓣轴瓦结构改为整体轴瓦结构,增加轴瓦固定螺栓数量,改进轴瓦润滑油槽,将螺旋油槽改为纵横相交的油槽,同时增加了油槽深度,轴瓦在安装时增加了限位块。利用对天轮返厂大修的机会更换了改进后的新型轴瓦,通过1年多的使用发现,更换的新型轴瓦能够满足现场生产需要,减少了日常维护,提高了现场维护效率,为矿井的安全生产提供了有效保障。     

煤矿提升机制动系统电控装置设计

为了确保矿井安全提升,设计了煤矿提升机制动系统电控装置。基于液压制动特性,研究了电控装置硬件和软件系统,硬件方面主要分析了传感器装置、人机交互界面、恒减速制动控制卡、PLC和电源的选型和设计;软件方面主要研究了系统状态显示和故障处理功能流程、安全制动功能流程及人机界面的主界面设计。研究为确保煤矿提升机制动系统安全可靠运行提供了技术支持。     

双PWM变频调速系统在矿井提升机中的应用

针对目前大部分矿井提升机仍采用转子串电阻调速方法造成能量浪费的现状,提出了一种双PWM变频调速方案:三相电压型PWM整流器采用电压、电流双闭环控制,其中电流环引入前馈解耦控制,并结合空间矢量脉宽调制(SVPWM)算法来提高直流电压利用率。仿真实验的结果表明,该双PWM变频调速系统控制精度高、动态响应快、抗扰能力强,能有效地实现矿井提升机的节能降耗。     

煤矿主提升机平衡尾绳更换工艺的改进

更换煤矿主提升机平衡尾绳是煤矿重大检修项目之一,原施工方案为两条平衡尾绳同时更换,存在较多不合理之处,改进为以新绳带旧绳、单绳依次更换的方案,实现了安全、快捷地更换平衡尾绳,同时减少施工对矿井生产的影响,提高煤矿经济效益。     

悬挂单轨吊车梁的设计

根据工业厂房中悬挂单轨吊车梁的设计原理,结合实际工程阐述额定起重量为20t的悬挂单轨吊车梁截面验算及轨道连接节点设计等,可供类似设计参考。     

Real‐time dynamic hoist scheduling for multistage material handling process under uncertainties

Multistage material handling processes are broadly used for manufacturing various products/jobs, where hoists are commonly used to transport inline products according to their processing recipes. When multiple types of jobs with different recipes are simultaneously and continuously handled in a production line, the hoist movement scheduling should be thoroughly investigated to ensure the operational feasibility of every job inline and in the meantime to maximize the productivity if possible. The hoist scheduling will be more complicated, if uncertainties of new coming jobs are considered, that is, the arrival time, type, recipe, and number of new jobs are totally unknown and unpredictable before they join the production line. To process the multiple jobs already inline and the newly added jobs, the hoist movements must be swiftly rescheduled and precisely implemented whenever new job(s) come. Because a reschedule has to be obtained online without violating processing time constraints for each job, the solution identification time for rescheduling must be taken into account by the new schedule itself. All these stringent requisites motivate the development of real‐time dynamic hoist scheduling (RDHS) targeting online generation of reschedules for productivity maximization under uncertainties. Hitherto, no systematic and rigorous methodologies have been reported for this study. In this article, a novel RDHS methodology has been developed, which takes into account uncertainties of new coming jobs and targets real‐time scheduling optimality and applicability. It generally includes a reinitialization algorithm to accomplish the seamless connection between the previous scheduling and rescheduling operations, and a mixed‐integer linear programming model to obtain the optimal hoist reschedule. The RDHS methodology addresses all the major scheduling issues of multistage material handling processes, such as multiple recipes, multiple jobs, multicapacity processing units, diverse processing time requirements, and even optimal processing queue for new coming jobs. The efficacy of the developed methodology is demonstrated through various case studies. © 2012 American Institute of Chemical Engineers AIChE J, 59: 465–482, 2013