ImageVerifierCode 换一换
格式:DOC , 页数:11 ,大小:72KB ,
资源ID:24659      下载积分:10 金币
验证码下载
登录下载
邮箱地址:
验证码: 获取验证码
温馨提示:
支付成功后,系统会自动生成账号(用户名为邮箱地址,密码是验证码),方便下次登录下载和查询订单;
特别说明:
请自助下载,系统不会自动发送文件的哦; 如果您已付费,想二次下载,请登录后访问:我的下载记录
支付方式: 支付宝   
验证码:   换一换

 

温馨提示:由于个人手机设置不同,如果发现不能下载,请复制以下地址【https://www.thwenku.com/down/24659.html】到电脑端继续下载(重复下载不扣费)。

已注册用户请登录:
账号:
密码:
验证码:   换一换
  忘记密码?
三方登录: 微信登录   QQ登录  
下载须知

1: 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。
2: 试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。
3: 文件的所有权益归上传用户所有。
4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
5. 本站仅提供交流平台,并不能对任何下载内容负责。
6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

版权提示 | 免责声明

本文(文献翻译-光电触觉传感器在采煤机设计中的应用——用于在地下煤炭开采中辨认岩石表面.doc)为本站会员主动上传,图海文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知图海文库(发送邮件至admin@thwenku.com或直接QQ联系客服),我们立即给予删除!

文献翻译-光电触觉传感器在采煤机设计中的应用——用于在地下煤炭开采中辨认岩石表面.doc

1、Application of Opto-tactile Sensor in Shearer MachineDesign to Recognise Rock Surfaces in UndergroundCoal Mining Abstract the success of automation applications in the mining industry traditionally has not been well. In many of these cases the benefits of automation have been advertised as thedefini

2、tive solution to a wide variety of problems faced by themining industry, such as increased safety and improvedproductivity. These applications have in many cases been introduced prematurely without adequate consideration of the rigors of the mining environment. As a result, effective technology has

3、often been labeled as a failure before it has had a chance to demonstrate its true capability. Therefore, we believe that a major requirement is essential to develop automation technologies for mining systems or sub-systems, which needs minimal operator input requirement. This can be achieved in sev

4、eral ways. First, by narrowing the domain in which the automated mining system must operate such that less complex automation technology can be applied robustly. Alternately, more sophisticated control technologies are required that can react to the wider range of operating mining scenarios resultin

5、g from an uncertain, dynamic and very unstructured geological highly variable and unpredictable environment. Automation of shearer machines, with the help of an opto-tactile sensor, should make the machine capable to detect the coal-rock interface in the roof and the floor. In this article an attemp

6、t has been made to apply, in association with an existing shearer machine, a newly developed opt-tactile sensor to detect different types of material layers where a shearer machine can operate at the longwall face of underground coal mines. The proposed tactile sensor should be capable to detect dif

7、ferent types of materials (coal, limestone, sandstone, and shell) recognizing their surface textures.Keywordsshearer machines, coalmining, rock/coal interface, automation, opto-tactile sensor I. INTRODUCTION AND PROBLEM ORIENTATION Shearer machines used in Australian underground longwallcoal mining

8、operations, consists of, as major units (Fig. 1), adriven rotating cutting head (cutting drum), range arm,hallway section (armoured face chain conveyor AFC), control section, main body, squirrel cage induction motor, and speed reducer. The 5m long high torque rotating cutting head removes coal seams

9、 up to five meters thick from the coal-wall. The environment is noisy, dusty and potentially explosive. Making longwall coal mining safer and more productive has been the subject of a long-running CSIRO project funded by the Australian Coal Association Research Program, which has also come up with n

10、ew technology designed to locate and guide coal-cutting equipment in longwall mines. The downtime statistics of Australian longwall mining operations showed that 10 categories of machine-related failures accounted for 50 percent downtime 1. Amongst the major ones are face alignment, horizon control,

11、 information system and open communication between subsystems. A fully automated shearer machine must include and address these issues. Currently, shearer automation refers mainly to horizon control, i.e. how to automatically control the shearers cutting horizon so that it always stays in-seam and c

12、uts a uniform thickness. In order to achieve this, the shearer must be able to recognize the coal-rock interface in the roof and floor of coal mines. Furthermore, once it determines the horizon of coal-rock interface, it must immediately adjust its cutting drum position. In addition to an onboard mi

13、croprocessor that stores and analyses data and issues commands, an automated shearer system needs a coal-rock interface detection system and inclinometers for measuring and adjusting the drum height and body pitch. The gamma ray coal thickness measurement system has been used to detect the coal-rock

14、 interface 2. Gamma radiation is high in shale, lower in sandstone, almost absent in limestone and virtually undetectable in coal 3. Natural gamma ray background (NGB) sensors are used in longwall coal mining operation for the detection of coal-rock interface. Many coal-rock interface detectors have

15、 been developed and tested, but all of them are still in the experimental stage. These are based on pick force, rock vibration and video camera 4 principles. A pick force measurement system determines thevariation of cutting forces on instrument bits by identifying the special characteristics of the

16、 cutting force required to cut the immediate roof. This system is based on the principle that the cutting force required to cut the immediate roof in a coal seam differs from that for the coal. By processing the variation in pick force with an onboard computer, the coal-rock interface can be identified. To distinguish coal-rock interface a vibration assessment system utilizes the principle of differences between the vibration characteris

网站客服QQ:2356858848

  客服联系电话:18503783681

copyright@ 2008-2022 thwenku网站版权所有

ICP备案:豫ICP备2022023751号-1


>


客服