循环经济在赣州矿产资源开发与管理中的研究

如何利用赣州矿产资源优势发展本地经济,节约资源开采,充分利用现有资源,实现资源的循环利用,保持生态环境的良好发展具有重要意义。本文分析介绍了循环经济、赣州矿产资源及开发利用现状,并提出了实现矿业循环经济的具体措施。     

面向数据挖掘的教学系统的设计与实现

由于数据挖掘技术具备从大量数据中提取特定数据模型的优势,已得到广泛的认可和应用。目前,数据挖掘在教育领域中应用的主要热点之一是如何构建面向数据挖掘的教学系统的研究。介绍一种面向数据挖掘技术的教学网站的设计思想和实现方法。该网站实现传统教学系统的通用模块,并增加对教学日志的支持功能。该功能为数据挖掘研究提供实验数据和实践平台。     

数据挖掘技术在学生评估中的应用

近几年随着科技和现代教育的发展,数据库和网络技术得到飞速的发展和广泛的应用,智能教学系统也就大量地出现,这样就有大量的数据伴随着出现,而怎样处理这些数据使人们从中获得有用的信息变成一个热门的话题。数据挖掘技术就是将大量数据以一定的方式进行处理,得到对人们有用的信息,来帮助人们学习和预测。将数据挖掘技术引入到教学过程中学生的个人学习素质评估当中,创新性地通过决策树算法和聚类算法相结合的方法对学生数据分析,挖掘潜在的信息资源,找出影响个人综合素质的关键因素及各因素之间的关系,总结优秀学生的个人综合素质的培养方法,弥补不足,提高学生的个人综合素质。     

基于粗糙集的Web事务聚类算法

针对现有Web数据挖掘方法发现的知识和规则存在不精确或不完全的问题,将粗糙集引入到Web挖掘中,进行Web事务聚类.粗糙近似算法基于用户访问序列的顺序和内容建立用户事务相似度矩阵,运用基于相似度矩阵的粗糙上近似提取初始类,使用相对相似性的条件作为合并准则,基于约束相似性的上近似形成后续类.粗糙近似算法能够有效挖掘Web访问日志,聚类Web事务,发现用户访问Web页面的模式.     

基于计算机技术在医院信息化管理系统设计

针对医院信息管理工作难度大,数据种类复杂并且对于医院管理数据利用率低等问题,设计一种医院信息管理系统,该系统软件设计采用C/S架构记性设计;针对医院数据挖掘技术,通过改进Apriori算法和增量决策树算法对数据进行处理,提高医院信息利用率;并通过设计模拟实验方案对设计的算法进行验证,其中对于改进Apriori算法与原始的Apriori算法相比起处理速度提升了 10倍;对于增量决策树算法分类的准确率比C4.5算法和ID3算法高5％以上,并且在增量学习中耗时是C4.5算法和ID3算法的40％以下.     

Groundwater impact of open cut coal mine and an assessment methodology: A case study in NSW

Large scale open cut coal mining operations have significant impacts to groundwater in surrounding areas in both active and post-mining phases. The prediction of water inflows into a surface mine excavation is one of the many components involved in mine design phase. Groundwater performance also reacts to mining activities from the operational, economic and safety implications perspective. Under NSW planning legislation, as part of the comprehensive risk assessment, a groundwater impact assessment has to be conducted for a coal project to predict and mitigate the impacts in consideration of the government requirements. In this paper, the groundwater assessment modelling of mine pits was discussed in predicting of groundwater inflows and reviewing analytical and numerical approaches. A methodology of groundwater impact assessment for an open cut mine in NSW with a three-dimensional groundwater flow model Modflow Surfact demonstrated its functions in simulating the project's impacts on the groundwater regime. The key findings with mitigations are discussed and recommended in the paper to reduce impacts on groundwater and fulfil regulation requirements in NSW.     

Development of a six drillhead roof bolting machine

In underground mining, machine design is predominantly dictated by mine conditions and individual customer desires. In partnership with Foresight Energy, J. H. Fletcher Company was tasked to design and manufacture a new roof bolting machine with six independent drilling apparatus on board capable of drilling and bolting the roof and ribs with material handling. The objective was to produce a machine capable of drilling and installing six bolts simultaneously with a limited number of operators. The goal of the mine is to decrease the time to bolt a cut to improve the safety level of the current roof bolting method, improve efficiency and to improve the bottom line cost of entry development. The customer wanted four drills at the front of the machine dedicated to installing roof bolts and then another two drills behind them dedicated to rib bolts. This dictated the requirement of latched controls, which would allow the operator to start drilling one hole and then latch the controls to be able to move on to the next.The result of the design is a machine with a single platform and six independent masts with drillheads:four masts strictly for drilling and installing roof bolts on the front of the platform and two masts on the back of the platform for rib bolts. The controls at each operator's station include a latch control for drilling. The six-head roof bolter allows fewer operators to drill and install roof and rib bolts, which in turn lowers the miners' roof exposure per cut. This design reduces the operator's exposure from the inherent pinch points and rotary hazards once he has engaged the latch drilling. Therefore, the machine will help to decrease the time to bolt a cut, improving productivity while enhancing the ability to operate the machine safely.     

Cognitive work analysis to comprehend operations and organizations in the mining industry

Complex industrial systems, including mining, have a prominent challenge in understanding the interrelationship among the cognitive processes, working environment and available equipment. The concept of cognitive work analysis(CWA) transcends the traditional analytic methods of evaluating human tasks solely based on perceptual and physical traits, and rather implements the notions of behavioral and cognitive awareness indispensable for the intricacy of modern technology. In the last few decades, academic and industrial settings employ this type of analysis to set a suitable standard for a system's safety feasibility, and as a result reduce human-based errors. This research paper analyzes current CWA methods and proposes a five-level quantification model portraying the overall cognitive quality of a mining operation.     

Study of probability integration method parameter inversion by the genetic algorithm

In order to obtain accurate probability integration method(PIM) parameters for surface movement of multi-panel mining, a genetic algorithm(GA) was used to optimize the parameters. As the measured surface movement is affected by more than one mining panel, traditional PIM parameter inversion model is difficult to ensure the reliability of the results due to the complexity of rock movement. With crossover,mutation and selection operators, GA can perform a global optimization search and has high computation efficiency. Compared with the pattern search algorithm, the fitness function can avoid falling into local minima traps. GA reduces the risk of local minima traps which improves the accuracy and reliability with the mutation mechanism. Application at Xuehu colliery shows that GA can be used to inverse the PIM parameters for multi-panel surface movement observation, and reliable results can be obtained. The research provides a new way for back-analysis of PIM parameters for mining subsidence under complex conditions.     

Fractal characterization for the mining crack evolution process of overlying strata based on microseismic monitoring technology

In order to study the evolution laws during the development process of the coal face overburden rock mining-induced fissure,we studied the process of evolution of overburden rock mining-induced fissures and dynamically quantitatively described its fractal laws,based on the high-precision microseismic monitoring method and the nonlinear Fractal Geometry Theory.The results show that:the overburden rock mining-induced fissure fractal dimension experiences two periodic change processes with the coal face advance,namely a Small→ Big→ Small process,which tends to be stable;the functional relationship between the extraction step distance and the overburden rock mining-induced fissure fractal dimension is a cubic curve.The results suggest that the fractal dimension reflects the evolution characteristics of the overburden rock mining-induced fissure,which can be used as an evaluation index of the stability of the overburden rock strata,and it provides theoretical guidance for stability analysis of the overburden rock strata,goaf roof control and the support movements in the mining face.