秦皇岛港取料机机械与液压系统改进方案研究

发布时间：2018-05-01 19:23

本文选题：斗轮取料机 + 配重三角架　；参考：《燕山大学》2014年硕士论文

【摘要】：斗轮取料机利用斗轮连续取料，是散状物料储料场内用于物料运输和装卸不可或缺的专用设备，被广泛用于大型散货港口、码头、储煤厂、钢铁厂、水泥厂、焦化厂等领域，进行煤炭、焦炭、矿石、砂石等物料的挖取作业。随着物料作业载重量的不断提高，斗轮取料机机械系统和液压系统的可靠性已成为确保设备安全稳定工作的重要保障。本文以秦皇岛港煤二期斗轮取料机为对象，针对其配重三角架屈曲失稳、取料大臂防撞和俯仰液压系统智能监测等问题，结合现场情况进行改进方案研究。配重三角架在斗轮取料机中占有重要位置，它是取料机正常工作和实现取料机悬臂完成俯仰过程的重要机构，对取料机的正常运行起着非常关键的作用。在分析原有三角架设计基础的方案上，通过有限元模拟，找出原配重三角架的设计缺陷，模拟结果与现场资料所提供的三角架失稳变形位置相符。以节省原材料和降低维修费用为目标，在油缸处撑杆中间增加了联系横梁，经有限元检核，证明改进后的方案强度满足要求，并在实际设备上获得了应用。针对同一轨道上双取料机同时作业过程中出现的大臂碰撞事故，本文以大车行走行程编码器、回转支撑编码器和俯仰液压缸位移传感器检测信号为基础，建立了大臂防撞数学模型，并结合煤场取料机现有控制系统通信途径，自主开发了大臂防撞预警系统。基于VR和MATLAB软件平台，设计出一套斗轮取料机防碰撞的虚拟现实系统，根据现场采集数据形成实时监控画面，工作人员可以结合这些实时画面，不断调整斗轮取料机的工作运行状况，防止发生意外碰撞，，保护人机安全。俯仰系统液压缸的工作状态是影响设备运行可靠性的关键因素之一，针对传统人工监测方式精度低、无法实现无人值守的不足，本文利用LABVIEW软件开发了一套人机交互式的监测界面，通过实时检测俯仰液压缸温度、压力传感器信号，使工作人员能够全面了解俯仰液压缸的工作情况。一旦发现问题，能报警提示工作人员进行相关操作，并准确判断故障类型和解决方案，实现对俯仰液压缸的智能化监测。论文研究内容对于提高斗轮取料机机械系统和液压系统的安全性和可靠性具有重要的理论意义和实际价值。
[Abstract]:Bucket wheel feeder is an indispensable special equipment in bulk material storage yard for material transportation and loading and unloading. It is widely used in large bulk cargo port, wharf, coal storage plant, steel plant, cement plant, coking plant and other fields, and is widely used in the field of bulk cargo port, wharf, coal storage plant, iron and steel plant, cement plant, coking plant, etc. Carry on coal, coke, ore, sand and other materials digging operation. With the continuous improvement of the load capacity of material operation, the reliability of mechanical system and hydraulic system of bucket wheel feeder has become an important guarantee to ensure the safety and stability of equipment. Aiming at the problems of buckling instability of counterweight tripod, anti-collision of feeding arm and intelligent monitoring of pitching hydraulic system in Qinhuangdao Port, the improvement scheme is studied according to the situation in the field of the second stage bucket wheel feeder of Qinhuangdao Port, which is aimed at the problems of buckling instability, anti-collision and intelligent monitoring of pitching hydraulic system. The counterweight tripod occupies an important position in the bucket wheel feeder. It is an important mechanism for the normal operation of the feeder and the realization of the lifting process of the cantilever of the picker, which plays a very important role in the normal operation of the feeder. Based on the analysis of the scheme of the original tripod design foundation, the design defects of the original weight tripod are found through finite element simulation. The simulation results are consistent with the deformation position of the tripod instability provided by the field data. Aiming at saving the raw materials and reducing the maintenance cost, a connecting beam is added in the middle of the support bar at the oil cylinder. The finite element check shows that the strength of the improved scheme meets the requirements and has been applied to the actual equipment. In view of the collision accident occurred in the course of working on the same track, this paper is based on the detection signals of the encoder, the rotary support encoder and the displacement sensor of the pitching hydraulic cylinder. The mathematical model of anti-collision is established, and the anti-collision warning system of large-arm is developed by combining with the communication way of the existing control system of the coal yard material picker. Based on VR and MATLAB software platform, a virtual reality system for collision prevention of bucket wheel feeder is designed. According to the data collected on the spot, real-time monitoring pictures are formed, which can be combined with these real-time images. Continuously adjust the working condition of bucket wheel feeder to prevent accidental collision and protect man-machine safety. The working state of the hydraulic cylinder of the pitching system is one of the key factors that affect the reliability of the equipment operation. In this paper, a human-computer interactive monitoring interface is developed by using LABVIEW software. By detecting the temperature and pressure sensor signals of the pitching hydraulic cylinder in real time, the staff can fully understand the working situation of the pitching hydraulic cylinder. Once the problem is discovered, the staff can be alerted and prompted to carry out relevant operations, and the fault type and solution can be accurately judged, so as to realize the intelligent monitoring of the pitching hydraulic cylinder. The research content of this paper has important theoretical significance and practical value for improving the safety and reliability of mechanical system and hydraulic system of bucket wheel feeder.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TH237.1;TH137

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