Genetic algorithm to simultaneously optimise stope sequencing and equipment dispatching in underground short-term mine planning under time uncertainty

ABSTRACT

The main issue in short-term planning optimisation for underground mining is organising the mining process with limited resources in the form of equipment and materials to satisfy production targets and stable feed grade requirements. In this paper, an integrated optimisation model is proposed based on an individual generation algorithm and an improved Genetic Algorithm to simultaneously optimise stope extraction sequencing and timing, extracted ore grade and equipment dispatching. The model objectives are to shorten the time gap between the stope mining processes and the overall working time. When the uncertainty of equipment working time is taken into account in a short-term scheduling model, the Monte Carlo simulation is applied to evaluate the risk of not meeting the production target. A modification strategy is defined to evaluate equipment failure. Consequently, any available equipment is automatically reassigned to the mining site to replace the broken-down equipment. A case study is used to validate the model in the Sanshandao gold mine of China to formulate an optimal monthly schedule. Compared with the conventional approach, the new model could reduce the variance of ore tonnage and feed grade and improve the equipment allocation efficiency. Discussions are presented to address the uncertainty.     

影像设备OM测试法解读(能源之星2.0版)

美国能源之星对影像设备能效测试2.0版操作模式功率法(OM法)主要反应被测样品在完成准备状态、睡眠状态、低耗能状态或关闭状态的能耗情况。分析了OM法的各测试项目以及相应指标,归纳总结了该标准规范在实施中应注意的问题,对影像设备附加功能进行了详细说明。     

Availability growth models and verification of power equipment

The general availability growth models for large scale complicated repairable system such as electric generating units, power station auxiliaries, and transmission and distribution installations are presented. The calculation formulas for the maintenance coefficient, mathematical expressions for general availability growth models, ways for estimating, and fitting on checking the parameters of the model are introduced. Availability growth models for electric generating units, power station auxiliaries, and transmission and distribution installations are given together with verification examples for availability growth models of 320–1000 MW nuclear power units and 1000 MW thermal power units, 200–1000 MW power station auxiliaries, and 220–500 kV transmission and distribution installations. The verification results for operation availability data show that the maintenance coefficients for electric generating units, power station auxiliaries, transmission and distribution installations conform to the power function, and general availability growth models conform to rules of availability growth tendency of power equipment.     

矿区铁路车站信号联锁系统核心设备换型升级关键技术研究

传统的信号联锁系统改造采用室内设备全部更换的方式,投资预算较高。为确保铁路运输安全,维护铁路生产运输秩序,提高信号设备的安全性,同时为减轻现场技术人员管控压力,研究应用新的技术方法,仅对室内信号联锁系统核心设备进行换型升级,室内相关配套设备不做更换,同样能够达到技术改造的效果,满足技术指标需求,同时可以节约大量资金投入。因此,本文针对上述问题开展信号联锁系统核心设备换型升级关键技术研究并在矿区铁路跃进河车站应用,效果显著。     

Optimal operation of cogeneration system coordinated by aggregator for providing the demand and supply regulation capacity

Recent growth of renewable energy generations with natural variability, such as photovoltaic generation and wind turbine generation, would make the demand and supply control in a whole power system more difficult, and therefore, alternatives for demand and supply regulation resources would be required. The authors focus on cogeneration system (CGS) as one of regulation resources. In order to procure adequate volume of regulation capability, an aggregator coordinates a number of CGSs efficiently and flexibly considering the wide variety of electricity/thermal demands of CGS owners. This paper proposes a novel optimal operation strategy of CGS coordinated by the aggregator considering the energy balance and operation cost of individual CGS owner. This paper also demonstrates the availability of CGSs for regulation capability by numerical case studies in which the actual consumption profile is employed.     

焦化厂电气设备常见故障及诊断

焦化厂电气设备更新迅速、功能多样,设备结构和功能趋于复杂化,对故障诊断的精准性提出了更高要求。为保障焦化厂电气设备的正常运行,对电气设备常见故障及影响因素展开分析,探讨了电气设备故障诊断的作用和方法,并对设备维护的要点进行了论述。分析认为,电气设备运行时受诸多因素影响,为保证设备正常使用、延长使用年限,需要以理论为指导,科学制定检修计划,结合设备实际情况合理应用诊断技术。     

基于艾默生DeltaV R6新功能块的设备控制模块开发

利用艾默生控制系统旧版本软件,开发开关量设备控制模块比较繁琐,需要借助大量的逻辑功能块与条件判断功能块进行辅助开发,程序结构复杂,逻辑不清晰,容易出错。新版本软件推出的新功能块解决了以上问题。以某火法铜冶炼工程为例,结合冶炼工艺特点,程序开发过程中通过解决不熟悉新功能块特点应用难问题,风机、泵、电动阀等设备控制模块开发难问题,开发出了满足控制要求的各种设备控制模块。利用新版本软件的新功能块,开发的设备控制模块在火法铜冶炼得到成功应用。     

基于蒙特卡洛法的保障方案评估研究

为保证经费使用效益，针对目前装备保障缺乏有效的评估方法，且制定保障方案时随意性较大的问题，提出了一种基于蒙特卡洛法的装备保障方案评估方法。根据现有装备保障的运行体制和机制，通过构建装备保障评估仿真模型，建立相对应的预防性维修过程子模型、修复性维修过程子模型和保障资源配置子模型，计算出基于现有保障方案的优化费效曲线及相关参数。通过某型飞机的保障方案实际计算，该方法能够对保障方案的备件、资源、设备利用率等方面进行评估，为任务执行前的保障方案评估提供了有效手段。提出的模型和软件能为装备保障人员提供有力的决策支持。     

航空装备维修保障模式数字化转型

针对航空装备维修保障未来发展需求，通过分析维修保障模式转型的外部需求、内在特点和技术支撑条件，提出了转型的必要性和前景，认为航空维修保障模式下一步转型的方向是全面数字化。数字化转型的本质是全行业、全业务数字化，其基础是全要素数字化，关键是全要素互联，核心是现实世界与数字镜像构建的信息物理系统。必须建立系统科学的观点，依托数字技术手段并通过信息网络的互联和智能科学的支撑方能实现。此外，还提出了相应的研究方向和课题。     

惯性导航设备升沉数据测试系统研究

研制了一套基于STM32单片机与单轴摇摆台的测试系统,利用固定圆心、固定半径条件下的圆内三角形关系,通过拉线传感器采集单轴摇摆台复合运动中的升沉数据;同时,对惯性导航设备输出的升沉数据进行采集与处理。对测试系统输出的升沉数据进行了验证,实验结果表明:该测试系统的测试数据准确合理,可实现对惯性导航设备升沉参数的动态测试,弥补了现有同类测试系统的结构复杂、量程小等不足。