磁铁矿精矿含铁量快速测量方法研究
[Abstract]:Iron ore is an important strategic resource of our country, and it is also the largest import mineral resource of our country. With the development and expansion of iron ore trade, the rapid detection technology of iron ore content is more and more valued by the whole iron and steel industry. The price of iron ore is mainly determined by the iron content of iron ore and the content of harmful impurities in the ore. However, the quality of imported iron ore is worrying, quality and safety problems occur frequently. This phenomenon also shows that the current detection method of iron content in iron ore can not meet the real-time and rapid testing needs of iron ore dressing processing and trade field. Therefore, the high-performance, intelligent detection technology needs to be developed urgently. In this paper, a fast and real-time measurement system for iron content of magnetite is designed on the basis of studying the common methods of iron content measurement in iron ore and combining with the related technology of embedded system. The system includes information acquisition module based on inductor sensor and micro-processing module based on ARM7 microprocessor. In this paper, the measurement method of iron content in magnetite based on mutual inductance sensor is discussed, and the principle of rapid measurement of iron content in iron ore based on electromagnetic induction mutual inductance effect is studied. The iron content information collection module and signal conditioning module are designed. The information control system of intelligent sensor based on ARM is constructed. The system is debugged and run under laboratory conditions. Through the processing of experimental data, the feasibility of the system is proved effectively. The self-developed mutual inductance sensor measurement system has the advantages of real-time measurement, convenient operation, not affected by the environment, easy to carry and so on. It can effectively improve the production efficiency of iron ore enterprises and iron and steel enterprises and promote the development of the whole industry in order to meet the requirements of rapid testing of iron ore processing and sales process. It is practical and advanced to improve the development of iron ore industry in China in the direction of high efficiency and intelligence.
【学位授予单位】:哈尔滨理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P575
【参考文献】
相关期刊论文 前10条
1 张博骞;邵拥军;刘忠法;吴双;;内蒙古黄岗铁锡多金属矿床磁铁矿成分特征研究及其指示意义[J];南方金属;2017年02期
2 王丽杰;丁欣;褚鸿锐;杨羽翼;;磁铁矿铁磁性能解析及应用[J];材料科学与工艺;2016年06期
3 周静;王珏;;滴定分析法测定铁矿石中的铁含量[J];广州化工;2016年16期
4 刘洪涛;邵常丽;;能量色散X射线荧光光谱法测定铁矿石中化学成分[J];冶金分析;2016年06期
5 魏胜利;张捐净;郭晓波;;3D打印系统的发展及其数据格式分析[J];制造技术与机床;2015年07期
6 魏晶晶;张志刚;;重铬酸钾滴定法测定全铁的方法探讨[J];新疆有色金属;2015年03期
7 魏明贺;徐敏;;X射线荧光光谱法测定铁矿石中4种成分[J];物理测试;2014年06期
8 闵红;任丽萍;秦晔琼;周海明;朱志秀;;铁矿石中全铁含量分析的研究进展[J];冶金分析;2014年04期
9 杜鹏;王斌;;浅析3D打印机的发展趋势[J];中国科技信息;2014年07期
10 张连祥;;重铬酸钾容量法测定铁矿石中全铁含量[J];科技创新与应用;2014年06期
相关硕士学位论文 前6条
1 石慧;XRF测定铁矿石品位及其中稀土元素含量的方法技术研究[D];成都理工大学;2015年
2 王洪齐;基于有限元的钢丝绳表面裂纹损伤检测的仿真及试验研究[D];青岛理工大学;2014年
3 刘红乐;基于ARM9的网络数字水位传感器[D];太原理工大学;2013年
4 张广利;基于ARM的虚拟示波器研究[D];河南理工大学;2009年
5 谭永宏;高速公路气象信息采集系统的研究[D];湖南大学;2008年
6 张光伟;攀枝花钛磁铁矿磁性研究及新型磁选机研制[D];昆明理工大学;2001年
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