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Operational requirements analysis method based on question answering of WEKG

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Journal of Systems Engineering and Electronics 2024年第2期35卷 386-395页

作者： ZHANG Zhiwei DOU Yajie XU Xiangqian MA Yufeng JIANG Jiang tan yuejin College of Systems Engineering National University of Defense TechnologyChangsha 410073China

The weapon and equipment operational requirement analysis(WEORA) is a necessary condition to win a future war,among which the acquisition of knowledge about weapons and equipment is a great challenge. The main challenge is that the existing weapons and equipment data fails to carry out structured knowledge representation, and knowledge navigation based on natural language cannot efficiently support the WEORA. To solve above problem, this research proposes a method based on question answering(QA) of weapons and equipment knowledge graph(WEKG) to construct and navigate the knowledge related to weapons and equipment in the WEORA. This method firstly constructs the WEKG, and builds a neutral network-based QA system over the WEKG by means of semantic parsing for knowledge navigation. Finally, the method is evaluated and a chatbot on the QA system is developed for the WEORA. Our proposed method has good performance in the accuracy and efficiency of searching target knowledge, and can well assist the WEORA.

关键词： operational requirement analysis weapons and equipment knowledge graph(WEKG) question answering(QA) neutral network

Self-adaptive large neighborhood search algorithm for parallel machine scheduling problems

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Journal of Systems Engineering and Electronics 2012年第2期23卷 208-215页

作者： Pei Wang Gerhard Reinelt Yuejin TAN College of Information Systems and Management National University of Defense Technology Changsha 410073 P. R. China Discrete Optimization Research Group Ruprecht-Karls Universitaeit Heidelberg Heidelberg 69120 Germany

A self-adaptive large neighborhood search method for scheduling n jobs on m non-identical parallel machines with mul- tiple time windows is presented. The problems＇ another feature lies in oversubscription, namely not all jobs can be scheduled within specified scheduling horizons due to the limited machine capacity. The objective is thus to maximize the overall profits of processed jobs while respecting machine constraints. A first-in- first-out heuristic is applied to find an initial solution, and then a large neighborhood search procedure is employed to relax and re- optimize cumbersome solutions. A machine learning mechanism is also introduced to converge on the most efficient neighborhoods for the problem. Extensive computational results are presented based on data from an application involving the daily observation scheduling of a fleet of earth observing satellites. The method rapidly solves most problem instances to optimal or near optimal and shows a robust performance in sensitive analysis.

关键词： non-identical parallel machine scheduling problem with multiple time windows （NPMSPMTW） oversubscribed self- adaptive large neighborhood search （SALNS） machine learning.

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基于集成改进蚁群算法的作战环推荐方法

系统工程与电子技术 2024年第6期46卷 2002-2012页

作者：李杰谭跃进国防科技大学系统工程学院湖南长沙410073

作战环推荐是依靠优化算法从作战网络中为指挥员推荐最优的作战环,以对目标形成高质量打击。未来作战中的作战环推荐面临体系规模大、决策节奏快的特点。对此,提出了一种集成改进的蚁群算法,能够实现高效、高质的作战环推荐优化求解。首... 详细信息

作战环推荐是依靠优化算法从作战网络中为指挥员推荐最优的作战环,以对目标形成高质量打击。未来作战中的作战环推荐面临体系规模大、决策节奏快的特点。对此,提出了一种集成改进的蚁群算法,能够实现高效、高质的作战环推荐优化求解。首先,将作战环推荐问题转换为一种基于多仓库路径规划的数学模型。然后,针对原始蚁群算法前期收敛速度慢、算法参数对结果影响大和容易陷入局部最优的问题分别提出了3种改进策略:基于边权重信息的信息素初始化、基于差分进化的蚁群算法参数自适应优化和基于遗传算子的全局搜索能力提升,并进行了集成改进。最后,在案例分析中对集成改进蚁群算法进行了分析和对比,验证了所提算法在不需要大幅提高耗时的情况下,优化结果要优于未集成改进的蚁群算法,且相比于原始蚁群算法提升效果显著。

关键词：作战环推荐多仓库路径规划智能优化蚁群算法集成改进

A Cumulative Prospect Theory Based Counterterrorism Resource Allocation Method under Interval Values

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Journal of Systems Science and Systems Engineering 2019年第4期28卷 478-493页

作者： Bingfeng Ge Xiaoxiong Zhang Xiaolei Zhou Yuejin TAN College of Systems Engineering National University of Defense TechnologyChangsha 410073 China The Sixty-third Research Institute National University of Defense Technology Nanjing 210007 China

Strategic resource allocation into decision-making model plays a valuable role for the defender in mitigating damage and improving efficiency in military environments.In this paper,we develop a defensive resource allocation model based on cumulative prospect theory (CPT),which considers terrorists' psychological factors of decision-making in reality.More specifically,we extend existing models in the presence of multiple attributes and terrorists' deviations from rationality using a multi-attribute cumulative prospect theory.In addition,interval values are used to cope with uncertainties regarding gain and loss.Comparative studies are also carried out to demonstrate the differences among minmax,Nash equilibrium (NE),and traditional probability risk analysis (PRA) strategies.Results show that the defender's optimal defensive resource allocation will change along with terrorists' behaviors and the proposed model makes more sense compared with other traditional resource allocation strategies.

关键词： Counterterrorism resource allocation cumulative prospect theory multiple attributes interval value

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某单缸发动机冷却系统数值模拟及优化

浙江工业大学学报 2024年第3期52卷 269-274,326页

作者：曹博涛谭礼斌孙宁袁越锦陕西科技大学机电工程学院陕西西安710021 陕西科技大学设计与艺术学院陕西西安710021

为研究某单缸发动机冷却系统的冷却性能及工作流量,采用CFD方法对该单缸发动机冷却系统开展流场分析及工作流量提升研究。实验结果表明:该发动机冷却系统原方案的工作流量为34 L/min,不满足当发动机转速8 000 r/min时工作流量43.75 L/mi... 详细信息

为研究某单缸发动机冷却系统的冷却性能及工作流量,采用CFD方法对该单缸发动机冷却系统开展流场分析及工作流量提升研究。实验结果表明:该发动机冷却系统原方案的工作流量为34 L/min,不满足当发动机转速8 000 r/min时工作流量43.75 L/min的设计要求。通过优化水套阻力和提升冷却水泵性能,冷却系统的工作流量提升至44 L/min,增幅为29.4%。研究结果可为该单缸发动机冷却系统的冷却性能评估及结构改进提供仿真数据支撑。

关键词：单缸发动机冷却水套冷却性能系统流量水泵性能

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四缸发动机冷却系统设计及发动机温度场分析

河南科技大学学报（自然科学版） 2024年第2期45卷 1-7,M0002页

作者：谭礼斌袁越锦王栋曹博涛孙宁陕西科技大学机电工程学院陕西西安710021 陕西科技大学设计与艺术学院陕西西安710021

为评估某四缸发动机冷却系统设计的合理性,采用计算流体力学分析方法对该发动机冷却系统的布局设计、系统流量确定、冷却系统流场和发动机温度场开展了研究。针对缸体水套冷却液流速差异较大的问题,提出了在缸体水套添加节流缺口的优化... 详细信息

为评估某四缸发动机冷却系统设计的合理性,采用计算流体力学分析方法对该发动机冷却系统的布局设计、系统流量确定、冷却系统流场和发动机温度场开展了研究。针对缸体水套冷却液流速差异较大的问题,提出了在缸体水套添加节流缺口的优化方案。结果表明:各缸缸体水套冷却液流速均匀性明显改善,各缸套壁面温度可降低1~3℃。发动机转速12 000 r/min时,热平衡测试结果显示缸温最大差异约为4℃。机油温度约为129℃,温度可控(小于140℃),表明该四缸发动机冷却系统设计合理,可保证四缸发动机各缸冷却均匀及机油的冷却。

关键词：四缸发动机冷却系统冷却液流速壁面温度均匀冷却

A deep reinforcement learning method for multi-stage equipment development planning in uncertain environments

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Journal of Systems Engineering and Electronics 2022年第6期33卷 1159-1175页

作者： LIU Peng XIA Boyuan YANG Zhiwei LI Jichao tan yuejin College of Systems Engineering National University of Defense TechnologyChangsha 410073China

Equipment development planning(EDP)is usually a long-term process often performed in an environment with high uncertainty.The traditional multi-stage dynamic programming cannot cope with this kind of uncertainty with unpredictable situations.To deal with this problem,a multi-stage EDP model based on a deep reinforcement learning(DRL)algorithm is proposed to respond quickly to any environmental changes within a reasonable range.Firstly,the basic problem of multi-stage EDP is described,and a mathematical planning model is constructed.Then,for two kinds of uncertainties(future capabi lity requirements and the amount of investment in each stage),a corresponding DRL framework is designed to define the environment,state,action,and reward function for multi-stage EDP.After that,the dueling deep Q-network(Dueling DQN)algorithm is used to solve the multi-stage EDP to generate an approximately optimal multi-stage equipment development scheme.Finally,a case of ten kinds of equipment in 100 possible environments,which are randomly generated,is used to test the feasibility and effectiveness of the proposed models.The results show that the algorithm can respond instantaneously in any state of the multistage EDP environment and unlike traditional algorithms,the algorithm does not need to re-optimize the problem for any change in the environment.In addition,the algorithm can flexibly adjust at subsequent planning stages in the event of a change to the equipment capability requirements to adapt to the new requirements.

关键词： equipment development planning(EDP) multi-stage reinforcement learning uncertainty dueling deep Q-network(Dueling DQN)

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开架发电机组冷却系统性能评估及结构改进

西华大学学报（自然科学版） 2024年第3期43卷 35-44页

作者：谭礼斌袁越锦雷旭陕西科技大学机电工程学院陕西西安710021 四川川浦融科技有限公司四川成都610000

发电机组冷却系统流场分析及冷却性能评估有助于确认冷却系统总流量大小、冷却风量分配比例和冷却风流速分布特性,确保风道流量分配均匀和高温区域冷却良好。以某开架发电机组为研究对象,根据冷却系统设计要点对其冷却系统进行了初始布... 详细信息

发电机组冷却系统流场分析及冷却性能评估有助于确认冷却系统总流量大小、冷却风量分配比例和冷却风流速分布特性,确保风道流量分配均匀和高温区域冷却良好。以某开架发电机组为研究对象,根据冷却系统设计要点对其冷却系统进行了初始布局结构设计,采用流体分析软件STAR-CCM+搭建了开架发电机组冷却系统流场分析模型。结果表明,缸头风道风量占发动机风道总风量的48.77%,箱体底部风量占比为6.7%,不利于发动机缸头和机油的冷却。通过调整导流罩与散热片间距、风扇罩更改为渐扩线形式、箱体开孔与散热片形状及导流的匹配改动、拉盘开孔增大等方式形成了开架发电机组冷却系统结构改进方案。改进后该机组缸头风道风量占发动机风道总风量的61.83%,箱体底部风量占比为13.04%。缸头风道风量及箱体底部风量基本满足发动机缸温及油温的冷却需求。发动机各风道冷却风速度分布均匀,电机冷却较好,空滤器进风均来源于外界冷却风;消声器表面风速分布均匀,不存在流动死区且靠排气管处风速较大。该发电机组冷却系统可对机组实现较好的冷却,保障机组正常且长时间运行。研究结果可为发电机组冷却系统布局设计及结构改进提供参考。

关键词：发电机组冷却系统缸头箱体底部风量占比

Engineering management for high-end equipment intelligent manufacturing

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Frontiers of Engineering Management 2018年第4期5卷 420-450页

作者： Shanlin YANG Jianmin WANG Leyuan SHI Yuejin TAN Fei QIAO School of Management Hefei University of Technology School of Software Tsinghua University Department of Industrial Engineering & Management Peking University College of Systems Engineering National University of Defense Technology School of Electronics and Information Engineering Tongji University

The high-end equipment intelligent manufacturing(HEIM) industry is of strategic importance to national and economic security. Engineering management(EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. Newgeneration information technology(IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem.Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories,quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.

关键词： high—end equipment intelligent manufactur-ing engineering management information technology