地下矿中长期计划多目标优化及应用研究

针对地下矿生产计划传统手工编制复杂繁琐、图表展示困难的问题,采用多目标规划的理论和方法,以净现值、品位和金属量为目标建立多目标规划模型,快速准确地求解出可行的生产计划方案,避免了普通线性规划的局限性,并采用三维可视化技术清晰地展示地下各种工程在空间上的分布及其相互之间的逻辑关系。提供了一套可行的生产计划编制流程,简化了生产计划的工作,并以某铁矿的实例计算证明,该方法能够有效地优化矿山的生产计划,为矿山经营决策提供依据。     

基于市场的地下金属矿山生产计划优化

针对地下金属矿山生产和经营特点,首先采用商业智能和组合预测的理论和方法,建立矿产品市场需求计划模型;然后根据矿产品市场需求计划模型提供的分析结果,采用多目标规划、专家系统、时间价格Petri网的理论和方法,对采掘作业流程进行建模,提出了求解流程最小成本的计算方法.某地下金属矿山的实例计算表明,该模型能够有效地优化企业的生产计划,提高企业的市场竞争力,降低企业的运营成本.      

大红山铜矿井下综合通讯系统的构建与应用研究

在现代地下矿山井下工程中,如何实现井下语音通信、视频监测、人员与设备跟踪定位等成为矿山企业管理者首先面对的问题.通过对井下网络拓扑结构、无线接入点的布置和视频点位置的设计,构建了大红山铜矿井下综合通讯系统.其构建的井下综合通讯系统不仅能加强井下生产人员的安全和提高生产效率,而且对于实现矿山企业的信息化和网络化具有重要的意义.     

岩体结构分析计算机系统在大厂铜坑矿细脉带采场的应用

针对地下矿山巷道、采场中个别结构体冒顶、片帮现象,以岩体结构分析为手段,利用自行开发的软件“岩体结构分析计算机系统”,结合国家“八五”科技攻关课题《大厂铜坑矿细脉带地压及充填体稳定性监测》,对其巷道的围岩稳定性进行评价。该系统可直接用于地下矿山巷道、采场围岩稳定性的分析和矿区主应力场方位的分析,一方面为矿山的生产提供安全保障,另一方面主应力场方位的分析结果可为矿山现代化科学生产设计与施工提供依据。     

某矿山井下人员定位系统技术应用研究

为了提高矿山企业安全生产水平,结合矿山井下生产系统恶劣环境的特点,探究了基于RFID技术的井下人员定位系统在某矿山的应用,井下人员定位系统的应用对创建本质安全、高产高效现代化矿井具有重要意义,为同类矿山提供一定的参考价值。     

Site Layout Planning using Nonstructural Fuzzy Decision Support System

Site layout planning can affect productivity and is crucial to project success. However, as construction is heterogeneous in the nature of its organizations, project designs, time constraints, environmental effects, etc., site layout planning for each project becomes unique. Affected by many uncertainties (variables) and variations, site layout planning is a typical multiobjective problem. To facilitate the decision-making process for these problems, a nonstructural fuzzy decision support system (NSFDSS) is proposed. NSFDSS integrates both experts’ judgment and computer decision modeling, making it suitable for the appraisal of complicated construction problems. The system allows assessments based on pairwise comparisons of alternatives using semantic operators that can provide a reliable assessment result even under the condition of insufficient precise information.     

基于链式变精度粗糙模糊集采场内因火灾分析

针对地下矿山采场内因火灾影响因素多且复杂,涵盖自燃起火与火灾后果多个层面的情况,综合考虑矿石含硫量、含碳量和矿石温度等因素,建立了采场内因火灾多层面分析的指标体系,构建以影响指标为条件属性和以采场内因火灾自燃起火及火灾后果为决策属性的链式变精度粗糙集模型.对采场内因火灾的自燃起火可能性及火灾后果严重性进行了链式关联决策...     

矿井通风系统稳定性评价指标及其权重的确定

在对通风系统进行设计或改造时,可根据矿井的开拓、开采和地质条件,拟出多个矿井通风系统方案。由于每个方案都有优缺点,这对方案的最终确定带来一定困难,所以矿井通风系统评价体系的建立十分必要。以云南省某铜矿为背景,在运用层次分析方法的基础上构建矿井通风系统的评价体系,确定矿井通风系统稳定性的一级评判指标并建立AHP结构分析模型,确定各项指标的权重,结合工程实践得出各评价指标在通风系统中的重要性顺序为:矿井通风系统环境、矿井通风安全管理、矿井通风设施状况、矿井通风经济合理性、矿井防灾减灾能力、职工素质。为矿井通风系统设计或改造升级提供科学依据。     

鑫城金矿改扩建工程预可行性研究探讨

文中介绍了鑫城金矿地下矿与选矿厂进行改扩建的可行性，为矿山正常生产与不断发展提供了技术保障。     

地下金属矿智能矿山总体规划

针对地下金属矿智能矿山建设中集成化程度低、共享性差和协同性缺乏等问题,提出地下金属矿智能矿山总体规划,包含规划目标、规划思路、系统架构和应用平台架构。以矿山生产业务流和数据流为线索,围绕生产技术、生产管理、过程管控和安全环保,规划覆盖全要素、贯穿全流程的智能矿山建设内容。生产技术协同平台促进生产技术协同作业流程化和规范化,生产管理平台确保生产管理及时性与共享性,智能开采装备与系统保障现场作业人员安全和设备跟踪调度,安全环保平台为管理低成本化和痕迹化提供了方法,三维可视化智能管控平台为数据集成可视化提供了手段。研究成果可为地下金属矿智能矿山规划、设计和建设提供指导。     

Model and Control of Flexible Multibody Satellite

In order to estimate total disturbances including parametric uncertainties, unmodeled dynamics, and external disturbances, and achieve the dynamic feedback compensation of the estimated total disturbances, we design a double closed loop attitude active disturbance rejection controller (ADRC). By taking flexible vibrations of solar panels and a flexible antenna as an external disturbance, and using only the estimated transformation matrix of control input, a simplified dynamic model has been used to replace the accurate dynamic model of a rigid body in a flexible multibody satellite dynamics model. Simulation results indicate that the attitude ADRC designed still has the original dynamic response when large external disturbance acts on the system. Therefore, we come to the conclusion that the ADRC designed can be used to solve the problem of control systems with uncertainties in the process of modeling different flexible multibody systems.     

Selecting Appropriate Project Delivery System: Fuzzy Approach with Risk Analysis

The selection of an appropriate project delivery system that suits all project and owner needs is one of the key decisions to a successful project. Therefore, this decision should be made based on thorough analysis. In this paper, a fuzzy multiattribute decision-making (FMADM) model is developed. The model accounts for uncertainties and imprecision in the decision space as well as fuzziness in the nature of the decision attributes. The model utilizes fuzzy decision-making approach in order to evaluate the membership function corresponding to the utility of each project delivery alternative. Project delivery system alternatives are ranked using fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method based on their utility membership functions and by evaluating the distance of each project delivery alternative from fuzzy ideal solutions. In the TOPSIS method, alternatives are ranked based on their closeness coefficient (CC). In addition, the risk attitude of the decision maker is considered in the model by using derived utility membership functions corresponding to the risk attitude of the decision maker. The model is applied to a petrochemical project as a case study. In the case study, the model outcome that ranked Turnkey system as the best system conforms to the lessons learned by the decision maker from several past projects. Moreover, sensitivity analysis is done in the case study. The results show the significant value of the FMADM model for selecting appropriate project delivery system for projects.     

Considering Prework on Industrial Projects

Prefabrication, preassembly, modularization, and off-site fabrication, collectively termed as prework have become more viable with recent advances in design and information technologies. These construction methods offer a substantial opportunity to improve project performance when circumstances merit. Successful implementation of these methods on a particular project requires systematic analysis and early decision making based on specific factors of the project. This paper identifies those factors influencing decisions on the use of prework, and current industry practices for evaluating the applicability of prework on industrial projects. It then presents a decision framework to assist industry practitioners with evaluating the applicability of prework on their project, and describes a computerized tool to aid project teams in the decision-making process. The developed framework and tool are useful and effective in the decision-making process, and easy to use, as validated by practitioners in the industry.     

某磷矿采矿方法优化研究

某磷矿为新建地下开采矿山，属缓倾斜中厚矿体，原设计采用上向水平分层充填法和上向进路充填法进行开采，鉴于该采矿方法采切工程量大、工艺复杂、安全性差、生产能力低和劳动强度高，难以满足矿山500万t/a的生产能力要求.通过对矿山开采技术条件及矿山生产实际的综合研究，确定采取盘区布置形式，预控顶中深孔空场嗣后充填采矿法和掘进机进路式采矿法开采，并使用大型无轨设备进行采掘作业.优化后减少了采切工程、简化了采矿工艺、改善了作业条件，降低了工人劳动强度.      

基于灰色关联投影分析的矿井通风方案优化研究

矿井通风系统方案优化实际上是一个灰色多目标决策问题。通过构造灰色关联系数矩阵,确定加权向量、灰色关联投影角余弦、相关模数和计算投影值等步骤建立了综合考虑5种因素的矿井通风方案优化决策灰色关联投影模型。利用灰色关联投影决策模型确定了某矿井下通风系统最佳方案,该通风方案实施后,井下作业环境得到了很大的改善,测定数据表明各项指标都达到矿山安全规程要求。利用灰色关联投影法确定矿井通风方案十分有效。     

某矿井通风阻力测定分析

为合理地完善矿井通风系统,实现矿井安全清洁生产,运用气压计基点测定法对某矿井进行了通风阻力测定,得到该矿井通风阻力分布状况。通过对该矿井通风阻力测定、矿井通风阻力系统误差计算及分析,得出了该矿矿井通风系统相关参数的具体数值,为今后经济合理地完善矿井通风系统提供依据。     

Introduction to the special issue on developing flexible and adaptable leaders for an age of uncertainty.

It is no secret that today's hyper-competitive, fast-paced, and rapidly changing global economy puts a premium on adaptable organizations and flexible leaders. Even advertising campaigns celebrate the “agile enterprise” and channel the spirit of “constant self-reinvention.” However, what can consulting psychologists do to help managers become more flexible and adaptable leaders? In this introduction to the special issue I provide an overview of the 5 focal articles and the capstone summary article. The articles in this issue are written by respected scholars and experienced practitioners who provide evidence-based guidance to practical questions such as: Why is flexibility so important, especially in tough economic times plagued by crisis and uncertainty?; how can practitioners predict and assess a manager's degree of flexibility?; and, how can leadership training and development interventions promote greater flexibility and adaptability? (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using new reasoning technology in chemical information systems

Unreliability of numerical data causes difficulties in computer systems for decision-making, risk assessment, and similar activities. Much human judgment is non-numerical and able to make useful evaluations of alternatives under uncertainty. The Logic of Argumentation (LA) offers a basis for computerized support of decision-making in the absence of numerical data, and it is being used in a project on carcinogenic risk assessment, StAR. There are potential applications of LA in other artificial intelligence systems in chemistry, such as for synthesis planning.     

Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front

In a real construction project, the duration and cost of each activity could change dynamically as a result of many uncertain variables, such as weather, resource availability, productivity, etc. Managers/planners must take these uncertainties into account and provide an optimal balance of time and cost based on their own experience and knowledge. In this paper, fuzzy sets theory is applied to model the managers’ behavior in predicting time and cost pertinent to a specific option within an activity. Genetic algorithms are used as a searching mechanism to establish the optimal time–cost profiles under different risk levels. In addition, the nonreplaceable front concept is proposed to assist managers in recognizing promising solutions from numerous candidates on the Pareto front. Economic analysis skills, such as the utility theory and opportunity cost, are integrated into the new model to mimic the decision making process of human experts. A simple case study is used for testing the new model developed. In comparison with the previous models, the new model provides managers with greater flexibility to analyze their decisions in a more realistic manner. The results also indicate that greater robustness may be achieved by taking some risks. This research is relevant to both industry practitioners and researchers. By incorporating the concept of fuzzy sets, managers can represent the range of possible time–cost values as well as their associated degree of belief. The model presented in this paper can, therefore, support decision makers in analyzing their time–cost optimization decision in a more flexible and realistic manner. Many novel ideas have also been incorporated in this paper to benefit the research community. Examples of these include the use of fuzzy sets theory, nonreplaceable front concept, utility theory, opportunity cost, etc. With suitable modifications, these concepts can be applied to model to other similar optimization problems in construction.