A blockchain bee colony double inhibition labor division algorithm for spatio-temporal coupling task with application to UAV swarm task allocation

It is difficult for the double suppression division algorithm of bee colony to solve the spatio-temporal coupling or have higher dimensional attributes and undertake sudden tasks.Using the idea of clustering,after clustering tasks according to spatio-temporal attributes,the clustered groups are linked into task sub-chains according to similarity.Then,based on the correlation between clusters,the child chains are connected to form a task chain.Therefore,the limitation is solved that the task chain in the bee colony algorithm can only be connected according to one dimension.When a sudden task occurs,a method of inserting a small number of tasks into the original task chain and a task chain reconstruction method are designed according to the relative relationship between the number of sudden tasks and the number of remaining tasks.Through the above improvements,the algorithm can be used to process tasks with spatio-temporal coupling and burst tasks.In order to reflect the efficiency and applicability of the algorithm,a task allocation model for the unmanned aerial vehicle(UAV)group is constructed,and a one-to-one correspondence between the improved bee colony double suppression division algorithm and each attribute in the UAV group is proposed.Task assignment has been constructed.The study uses the self-adjusting characteristics of the bee colony to achieve task allocation.Simulation verification and algorithm comparison show that the algorithm has stronger planning advantages and algorithm performance.

TCLBM:A Task Chain-Based Load Balancing Algorithm for Microservices

The microservices architecture has been proposed to overcome the drawbacks of the traditional monolithic architecture.Scalability is one of the most attractive features of microservices.Scaling in the microservices architecture requires the scaling of specified services only,rather than the entire application.Scaling services can be achieved by deploying the same service multiple times on different physical machines.However,problems with load balancing may arise.Most existing solutions of microservices load balancing focus on individual tasks and ignore dependencies between these tasks.In the present paper,we propose TCLBM,a task chainbased load balancing algorithm for microservices.When an Application Programming Interface(API)request is received,TCLBM chooses target services for all tasks of this API call and achieves load balancing by evaluating the system resource usage of each service instance.TCLBM reduces the API response time by reducing data transmissions between physical machines.We use three heuristic algorithms,namely,Particle Swarm Optimization(PSO),Simulated Annealing(SA),and Genetic Algorithm(GA),to implement TCLBM,and comparison results reveal that GA performs best.Our findings show that TCLBM achieves load balancing among service instances and reduces API response times by up to 10%compared with existing methods.

Efficient Mechanisms for Task Allocation in Agile Supply Chain Management

An agile supply chain can be defined as a dynamic s up ply network of some autonomous or semi-autonomous business entities, which can well adapt to the competitive, cooperative and dynamic market environment Agile supply chain needs quick response ability to the unpredictable and ever-changin g market environment, and the entities in agile supply chain have complex relati onships of competition, cooperation and dynamics, which make agile supply chain management a very complex process that includes a lot of no-linear, dynamic and uncertain factors. There is a common opinion that applying multi-agent collaborative work environm ent is an appropriate method to solve agile supply chain management problem. We have presented a model based on coordination of Multi-Agent System (MAS) two ye ars ago, and it has already been proved to be a rather better model by practical project. In the model, we apply MAS structure, and agents negotiate each other to achieve coordination, so the communication among agents becomes very impo rtant. Task allocation is a very common problem in agile supply chain management, and t here are many complex task re-allocation problems at the transaction level. In such situations, agents need to negotiate with others to produce effective alloc ation results. But traditional negotiation mechanisms often cease to work as a r esult of communication or computational complexities. Auctions provide an effici ent way of resolving one-to-many negotiations, so in this paper, we choose Eng lish auction to design a sufficient negotiation mechanism, and use combinatorial auction to solve the complex task re-allocation problems. We first analyze the features of task allocation problems in agile supply chain and build a problem model, and then design a comprehensive task allocation mechanism based on auctio n theories. Finally, by examining our results for what it is, essentially, an ap plication of game-theory and mechanism design to existing application, we draw some general conclusions on how such concepts can be operationalized in automate d agents. Some further research on the problem is also discussed.

震害评估任务驱动的遥感信息服务链构建方法

地震是全球影响最大的自然灾害之一。利用遥感数据对灾区进行动态震害评估,有助于支持应急救援和恢复重建工作,并在一定程度上降低灾害损失。然而,随着Web服务和在线计算技术的快速发展,如何根据不同震害评估任务需求,选择合适的遥感数据和处理服务进行智能组合,构成遥感信息服务链,已成为亟待解决的难题。因此,本文提出了一种任务驱动的遥感信息服务链构建方法,通过分析震害评估任务与遥感服务的特点,基于本体构建统一描述语义的震害评估任务描述模型与遥感信息服务描述模型,研究逐级精化的服务多级语义匹配方法,并从服务类型、服务功能、服务质量三个方面进行服务匹配。结果表明,本方法可构建出12条可用服务链,用时均在70 min内,且最优归一化服务质量指标达到0.607。研究成果能够支持遥感信息服务链构建,可为震害服务管理提供技术支持。

“任务链+研学支架”教学模式的建构——新工科视角下“遥感数字图像处理”课教学改革

目前,传统教学在内容的系统性、认知活动高阶性、价值引领实效性、促学效果等方面存在着较严重的问题,为此,“遥感数字图像处理”课程基于新工科教学理念,以遥感技术的综合应用情境重构课程体系,开启“任务链+研学支架”教学模式,加强培养学生遥感应用能力和创新能力,以遥感技术服务社会需求为育人路径。新模式的构建,实现了应用与研学互动、研学与研教并举、育人与育才同构的效果,对同类型新工科课程具有借鉴意义。

基于STEAM的“数控设备装调与维修”课程混合式教学实践探究

针对当前“数控设备装调与维修”课程混合式教学存在着线上与线下脱节、学生处于浅层学习状态等问题,引入STEAM理论,构建出基于STEAM的混合式教学流程:根据逻辑相关、理实融通、线上线下融合要求,分别设计混合式教学的课前、课中、课后三阶段STEAM教学情境、教学目标、教学任务链,按照“学生主体、教师主导”原则,师生共同实施上述教学任务链活动。最后,以“数控设备装调与维修”某项目为例开展教学实证,结果表明该流程可以有效提高课程教学质量,提升学生职业素养。

区块链技术赋能卫星产业:优势、挑战与对策

作为数字货币的底层技术,区块链具有去中心化、集体维护、数据不可篡改和可追溯等特性,被认为在很多领域具有广泛的应用前景。卫星产业作为战略性新兴产业,其安全可靠、互联互通和隐私保护等需求,与区块链的核心特性天然吻合。当前区块链技术在卫星产业中的应用尚处于起步阶段,鲜有学者对区块链技术和卫星产业的集成应用进行探讨。通过系统阐述区块链技术的基本原理,对区块链技术当前在卫星产业中的研究现状进行了全面的总结。分析了区块链技术在卫星产业中最有潜力的3个应用场景,重点阐述了区块链在其中所发挥的功能和优势。提出了区块链技术应用于卫星产业需面临的挑战,并给出了解决思路,以为将来区块链技术在卫星产业中的深入应用提供参考。

面向语义分析的文本式任务图生成方法研究

针对复杂任务的不确定性和复合型,论文提出面向语义分析的文本式任务图生成方法研究,将任务分析过程划分为任务链图构建和任务实体关联图构建两阶段。在语义分析的基础上将任务语句中动词和名词的“动宾”短语提取出并集合成事件对构成任务链图;任务实体关联图通过textrank算法提取任务语句中与任务链实体相关的关键词和高频词内容,将任务链图中忽略的关键信息展示在任务实体关联图内,两图共同将任务语句信息展示完整。该方法将人工智能与思维活动任务分析结合在一起,实现了任务自动分析,为复杂任务分析提供了新的方法。

Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method

Production logistics(PL)is considered as a critical factor that affects the efficiency and cost of production operations in discrete manufacturing systems.To effectively utilize manufacturing big data to improve PL efficiency and promote job shop floor economic benefits,this study proposes a PL trajectory analysis and optimization decision making method driven by a manufacturing task data chain(MTDC).First,the manufacturing task chain(MTC)is defined to characterize the discrete production process of a product.To handle manufacturing big data,the MTC data paradigm is designed,and the MTDC is established.Then,the logistics trajectory model is presented,where the various types of logistics trajectories are extracted using the MTC as the search engine for the MTDC.Based on this,a logistics efficiency evaluation indicator system is proposed to support the optimization decision making for the PL.Finally,a case study is applied to verify the proposed method,and the method determines the PL optimization decisions for PL efficiency without changing the layout and workshop equipment,which can assist managers in implementing the optimization decisions.

数字化背景下教学环境建设——以“应用随机过程”课程为例

数字化助力教学环境建设,为优质教学的内涵式发展提供强劲的思想动力和智慧源泉。基于目标的问题导向、内容以专题呈现、挖掘典型案例教学、优化教学设计思路路径、因人导学,推动线上线下课堂精准对接,打造“双线共融”的“GPO+DATE+GTP”混合式智慧教学环境模式优化组合。基于知识图谱的数字化教学新生态,加强注重巧妙启发,深度融入思政元素,营造主题式、细粒化、有趣化的“小环境”。以任务驱动法刺激教学,将学习任务作为主线、学生作为主体、教师作为辅导者积极协助。教学策略以质疑、释疑、演绎、应用、总结及巩固为主线,环环相扣。教学中精讲高质量论文并拓展课程内容,尽显该课程理论渗入实践的魅力,体现较高的课程价值,培养学生探索未知且勇攀科学高峰的使命感。

能源星火链网络群智感知任务分配仿真

为提升能源星火链网络群智感知效果,降低任务分配成本,提出能源星火链网络群智感知任务分配方法。以最初成本、代价成本、时间成本最低作为目标函数,构建任务分配模型,采用鲸鱼优化算法求解获取最佳任务分配结果。根据任务与感知设备起始位置距离、时间窗大小确定已分配任务优先执行顺序,结合感知设备用户弹性时间限制及信誉水平,弹性调节分配任务,判断感知设备用户是否接收额外任务,完成感知任务分配。实验结果表明:该方法任务分配的成本较低,感知设备用户数量较多、任务执行效率较高。

基于计算负荷预测的配用电终端算力供需动态均衡方法

配电网侧海量分布式对象的持续涌入令配用电终端基于确定边界配置转变为柔性资源配置,该转变是在终端有限资源的基础上适应更广泛对象接入的可行保障。为此,提出一种基于计算负荷预测的配用电终端算力供需动态均衡方法,在配用电终端柔性配置转变下最大限度地降低配用电业务与终端供需配合时的计算负担影响,提高终端针对计算负担的平衡能力与稳定能力,实现资源的充分挖掘利用,以适应未来更广泛的对象接入。根据配用电业务的时移特性与调整策略,建立计算负荷模型;基于配用电业务计算负荷曲线的“季节性”特征,构建结合三次指数平滑与迭代马尔可夫链修正的区段预测模型;根据算力资源的交互关系,并结合业务调整策略的划分特点与计算负荷曲线特点,建立配用电业务算力资源均衡模型。算例结果表明:所建预测模型所获区段标准差值满足预测精度要求,所提均衡方法有效降低了算力资源的不平衡度,表现出良好的计算负担削减能力。

供应链中基于多Agent协商的任务分配机制的研究

对任务分配问题作了形式化描述,并采用协商的方法实现了任务分配,提出了相应的协商协议以及协商算法。通过在JADE平台上开发的基于多Agent协商的运输任务分配原型系统进行了系统仿真。

识别关键冲突任务的定量分析

建立关键链(CC)计划,关键在于识别关键冲突任务.讨论了项目进度计划中与冲突资源相关的关键任务、关键任务组以及关键任务群,提出了统一的定量表示方法.针对一种冲突资源,相应地提出了识别关键冲突任务的一个启发式算法,找出了相关冲突任务,并得出相应的优先顺序,建立了有效的CC计划.通过实例进行了实证研究,为CC技术的应用提供了定量支撑.

云制造环境下的生产加工服务监控

为对云制造平台的生产加工服务进行有效监控,在分析云制造环境的生产加工服务监控需求的基础上,给出了生产加工服务的监控过程与监控内容,提出生产加工服务监控的体系框架,重点介绍了实现监控的关键技术,包括物联接入与数据处理关键技术、监控实现机制、监控预测报警技术和异常报警处理技术。通过原型系统实施与应用,验证了所提云制造环境下的生产加工服务监控体系架构和实现方法的可行性和有效性。

面向服务链构建的云制造资源集成共享技术研究

为实现时序约束关联任务驱动的云制造环境下面向服务链构建的制造资源集成共享,研究并提出一种能促进云制造环境下制造资源快速共享、广域集成和分散服务特点的服务过程模型,对基于语义本体的云制造任务与资源建模、基于Web服务资源框架的云制造资源的平台服务化封装方案、云制造任务分解与时序约束关联原子任务链构建技术,以及云制造资源服务链构建技术等关键问题进行了研究,有效解决了云制造环境下异构资源描述、虚拟化、检索匹配与服务组合问题,最后通过仿真算例对提出的云制造服务模式及技术方案进行了验证。

知识型团队动态能力构建、团队体系模型与创新运作模式研究

知识型团队是现代组织执行复杂创新任务的重要组织形式。本文从分析知识型团队与知识工作任务的匹配关系入手,在引入知识链及知识链网络等概念的基础上,探讨了基于知识链的知识型团队的动态能力构建机制,分析了围绕知识链网络的知识团队结构体系模型及创新运作机理。

港口物流服务供应链中多任务分配问题研究

主要研究了以港口为核心企业的物流服务供应链中的多物流任务分配问题。依据港口物流服务供应链的成本结构及运营特点,考虑了服务供应链的服务时间、服务成本、各物流服务商对任务分配的满意度等多种因素,建立了港口物流服务供应链多任务分配模型,最后运用模型对一个供应链实例进行任务分配。

任务链或问题链小步快进式教学——《机械制图》课程的两次听课

本文描述了学院高职所和教务处两位老师对《机械制图》课程的两次听课及相关感受。教学理论来源于教学实践。从适应高职学生学习需要的角度提炼出一线教师的任务链/问题链小步快进式教学两种教学方式。

跨企业产品协同开发中的设计任务分解与分配

通过对跨企业产品协同开发任务分解过程的分析,提出了相应的任务分解原则.利用模糊匹配法考查供应商关于新产品的设计和制造能力,判断任务分解的可行性;同时引入任务间影响度和响应度概念考查子任务间交互与影响,最终将任务分解为相对独立的子任务集合.基于分解得到的设计任务集合以及待选供应商集合,将供应商产品质量、成本等任务分配影响因素和供应商信息及其资源利用状况等供应商影响因素相结合,建立设计对象的分配优化模型.综合考虑任务分配的影响因素,基于提出的任务分配策略和分配原则,选择跨企业产品协同开发链中的最优供应商.