印尼煤的煤质特征及与国内炼焦煤配伍性研究

对某焦化公司进口的印尼焦煤、肥煤、1/3焦煤以及国内同牌号的田庄焦煤、两渡肥煤和枣庄1/3焦煤进行煤质及单种煤结焦性对比分析,并以生产常用配比为基础进行20kg实验焦炉配煤炼焦实验,探讨印尼煤与国内炼焦煤的配伍性能。结果表明,印尼煤均是低灰、低硫、强黏结性、高膨胀性、低流动性的单一煤,其活性高,活惰比均不低于24,而国内炼焦煤有一定的混配,其活惰比为1～2,活性组分和惰性组分含量较为均衡;印尼单种煤所制焦炭的强度和热性能较差;印尼煤替代国内同牌号煤进行配煤炼焦,所制焦炭质量明显下降,并且替代量越大,焦炭质量下降越多。     

基于总线通讯的控制系统在配煤工程中的应用

随着工业控制的发展,由单一现场总线构成的FCS系统已经难以满足现代工厂车间的生产要求。在这种情况下,罗克韦尔自动化（ AB）公司提出了先进的NetLinx开放式自动控制网络体系。本论文研究了罗克韦尔自动化的NetLinx三层网络架构,并结合某钢铁企业焦化厂8＃、9＃焦炉配煤工程,介绍了该工程电气控制系统的硬件布局和软件配置,系统地分析了AB工业控制系统通讯网络的在工程中应用。     

煤岩应力监测系统井下监控分站的设计

介绍了煤岩应力监测系统中井下监控分站的设计方案.井下监控分站负责煤岩应力的采集、处理和传输.根据受载煤岩变形产生电磁辐射理论,煤岩中应力越高,变形破裂过程越强烈,电磁辐射信号越强.监控分站以LPC2103为控制核心,通过定向天线接收煤岩变形产生的电磁辐射信号,经过调理和放大,再由A/D转换器MAX1275进行高精度模数转换,然后送LPC2103处理,并通过CAN总线传输到井上监控主机和监控服务器.     

300MW机组增容及通流改造实践及效果

安徽某电厂#2机组属早期典型上海汽轮机厂300 MW机组,由于机组老化,缸效率和热耗都比设计值低得多,在电力市场竞争中处于非常不利的地位。为提高机组性能,大量采用技术进行增容通流改造,改造后实现了供电标准煤耗下降了20.08 g/(kW·h),并增容至330 MW,而且在减少污染物排放方面也取得了良好效果.     

1000 MW机组变频发电机项目热经济性分析

为考察1 000 MW机组变频发电机的热经济性,调研了上海某厂两台1 000 MW机组变频发电机项目,结合安徽某电厂二期正在扩建的两台1 000 MW机组,初步拟定变频发电机项目方案,运用定流量分析法计算其热经济性,结果表明实施变频发电机项目,机组上网净功减少,理论供电标准煤耗率有所上升.建议缓建变频发电机项目.     

离子型稀土矿原地浸矿开采对地下水环境影响数值模拟

以某离子型稀土矿为例,通过对矿体赋存特征和采矿工艺的分析,建立数学模型,对浸矿液在地下水中运移规律进行模拟.根据模拟预测结果提出地下水污染防治措施,再对采取措施后地下水中污染物分布规律进行模拟.模拟结果表明:截渗措施能有效防止原地浸矿开采对地下水环境的污染.     

基于中文微博语料的情感倾向性分析

微博的兴起与传播使得短文本情感分类成为目前的热门研究领域。通过对中文微博语料的情感倾向性分析进行研究,提出了一种新的情感分类方法。首先构建了两级情感词典,并对不同级别情感词作不同增强;然后在情感特征方面使用N-Gram方法,尽量获取有限长度博文中的未登录情感词和情感信息。经实验验证与传统方式相比较,该方法的准确率和召回率都有所提高,在COAE2014微博情感倾向性评测任务中也取得了较好的成绩。     

采煤塌陷地土壤氮、磷季节性变化规律研究

以兖州煤矿塌陷地为研究对象,通过分层采集不同水文期的土壤样品,研究塌陷地积水区和非积水区氮、磷变化规律。结果表明,在季节性积水区一个水文年内,土壤中氮元素发生流失现象,全氮流失率达10.03%,碱解氮流失率达30.15%;全磷、速效磷发生沉积聚集现象,其中速效磷的积聚更明显。在非积水区,由于塌陷加剧土壤养分的表聚作用,促使全氮和碱解氮的流失减少。而全磷发生流失,流失率为15.24%。在垂向上,丰水期各指标含量减少的梯度平水期的梯度枯水期的梯度,在0~40cm深度,碱解氮流失率最高为50.6%,速效磷流失率最高为38.11%,在40~60cm变化幅度较小,在60cm深度之下,各指标逐渐成汇聚状态。判定60cm深度为土壤养分的塌陷影响深度。     

Experimental study on stability control technology of surrounding rock of deep roadways in coal mine

In order to solve effectively the problems of deep mining with safety and high efficiency, the multi- pie factors influencing the stability of deep rock roadway and technical problems are analyzed in the light of the severe situation of effective mining for deep coal resource, and the stability control methods for deep rock road- way are provided, which are based on the idea of combined support with separated steps and integral control of surrounding rock of deep rock roadway. The suggested methods were applied to a deep rock roadway with -648 m depth in Gubei coal mine of Huainan area. The field test was carried out and the in-situ monitoring was imple- mented, and the support scheme was optimized and adjusted to improve the stability of the surrounding rock of the roadway based on the feedback analysis. The results showed that the stability can be improved greatly by the provided control methods tbr deep roadway. The present methods lbr stability control of deep rock roadway can be used to other deep rock roadways with the similar conditions.     

Research and Implementation of the Enterprise Evaluation Based on a Fusion Clustering Model of AHP-FCM

Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering with fuzzy C-means （FCM） clustering will be advanced. In the method, the initial cluster number and cluster center can be obtained using subtractive clustering. On this basis, clustering result will be further optimized with FCM. In addition, the data dimension will be reduced through the analytic hierarchy process （AHP） before clustering calculating. In order to verify the effectiveness of fusion algorithm, an example about enterprise credit evaluation will be carried out. The results show that the fusion clustering algorithm is suitable for classifying high-dimension data, and the algorithm also does well in running up processing speed and improving visibility of result. So the method is suitable to promote the use.