共查询到20条相似文献,搜索用时 172 毫秒
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针对电网边缘终端用电时序数据重复问题,提出一种数据自动去重系统。基于分布式文件系统,采用客户端、元数据服务器、数据服务器以及网络通信模块等组件,构建电网边缘终端用电时序数据自动去重系统及其工作流程。通过对比分析部分去重、全局去重以及综合去重的单位时间重复数据去除量,选取综合去重法作为系统去重策略。针对用户连续两年的用电时序数据集展开系统仿真,采用空间压缩率、去重率以及吞吐量三个指标全面评估去重质量,结果验证所建系统具有较好的去重质量,吞吐量优越性较为显著。 相似文献
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基于FlexRay总线的嵌入式汽车线控制动技术研究 总被引:2,自引:0,他引:2
介绍了FlexRay总线技术的发展特点及克斯菲尔公司生产的FlexRay总线控制器芯片MFR4200,阐述了汽车线控制动技术的主要特点,详细论述了基于嵌入式微处理器芯片S3C44B0X的汽车线控制动系统的设计;构建了线控制动系统节点,设计了系统硬件软件,使用FlexRay总线总线数据检测软件检测总线数据;结果表明用FlexRay总线构成的嵌入式汽车线控自动系统较其他的总线系统具有良好的数据传输稳定性及可靠性,同时很好地实现了汽车的制动。 相似文献
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制动性能是评价汽车重要的技术指标,针对传统统汽车制动系统检测装置的不足,将虚拟仪器技术引入到车辆制动系统检测中,开发了基于虚拟仪器的车辆制动性能测试系统。该系统是一种基于虚拟测控模型的分布式测控系统,硬件设计简单合理,软件采用Visual Basic进行开发,实现了系统的绝大部分功能,充分体现了“软件就是似器”的设计思想.实测证明,该系统完全能够满足汽车制动力测试肘的动态要求,具有较高的可靠性。 相似文献
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转台或离心机在装配及使用过程中需要调整转动体相对转轴的不平衡量.不平衡量测量系统由荷重传感器、基准电源、数学电压表、数据采集系统及测角系统组成.用相关辨识的方法自动计算出不平衡量的幅值和相位. 相似文献
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基于AVR的平面自平衡系统设计 总被引:1,自引:0,他引:1
通过对平面自平衡系统的研究,以AVR Mega系列单片机为基础,运用计算机控制技术、单片机技术、传感器技术、通信技术以及PID控制原理,研究并设计了能够保持小球在平面上自动平衡的系统.该系统通过软硬件处理,直接使用AVR芯片的A/D转换器荻取小球所在平面(触摸屏)上的坐标信息,判断小球运动情况,以此改变坐标平面的X、Y轴倾角,保证小球在平面上能稳定于预先设定的定点上.通过实验取得了较好的自平衡稳定效果,有利于平衡稳定系统的研究. 相似文献
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为满足某橡胶/金属粘接结构产品的批量化检测需求,提升检测效率和自动化水平,设计开发了一套基于真空加载的激光错位散斑自动化检测系统。该系统集成了轻量化框架和紧凑型光路,并通过检测软件和检测流程优化,得到了较为理想的散斑检测图像;同时结合产品结构特点和检测灵敏度要求,设计了基于PLC控制的真空舱和运动控制装置,实现了产品粘接质量的自动化检测应用。结果表明,该系统可检测出检测试块上预置的人工缺陷,与原有手动检测模式相比,在保证检测产品检测灵敏度要求的前提下,极大地提升了检测效率,降低了检测人员的劳动强度,具有良好的工程应用价值。 相似文献
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当前分布式系统负载平衡算法存在问题:1)算法建立的系统中各节点角色固定,系统不具有自适应性;2)算法的通用性不高;3)负载迁移任务巨大,且负载平衡周期过长等。针对这些问题,提出了混合式负载平衡算法。首先,设计了一个分布式系统接收模型。模型将系统任务分为三层:接收层、处理层和存储层。在接收层使用了自定义的通信协议提高系统的接收性能。然后,负载平衡算法采用随机负载迁移策略,根据系统中节点的负载状态,对负载任务进行随机迁移。通过这种策略解决负载平衡周期过长和负载回迁问题。最后,通过分布式控制节点选择策略,使系统中节点具有自适应性。实验结果显示,在百万数据源以下,系统各层平均延迟处于毫秒级,系统负载平衡平均耗时在3 min以下。实验证明了所提出的负载平衡机制具有周期短、任务响应迅速等特点,能够提高分布式系统的接收性能。 相似文献
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智能网络磁盘(IND)是一种存储体系结构的新构思,IND集群是一种海量存储的新途径,为维护系统的自动负载平衡,用基于访问频数的动态调整和适时迁移策略相结合,精心设计算法,合理布局数据,使系统高效稳定运行,长期实践表明,这种负载平衡的灵活调度策略,对IND集群存储系统的实现是必要而有利的,对高性能计算的海量存储尤为重要。 相似文献
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Development of minimalist bipedal walking robot with flexible ankle and split-mass balancing systems
This paper presents a novel design of minimalist bipedal walking robot with flexible ankle and split-mass balancing systems.The proposed approach implements a novel strategy to achieve stable bipedal walk by decoupling the walking motion control from the sideway balancing control.This strategy allows the walking controller to execute the walking task independently while the sideway balancing controller continuously maintains the balance of the robot.The hip-mass carry approach and selected stages of walk implemented in the control strategy can minimize the efect of major hip mass of the robot on the stability of its walk.In addition,the developed smooth joint trajectory planning eliminates the impacts of feet during the landing.In this paper,the new design of mechanism for locomotion systems and balancing systems are introduced.An additional degree of freedom introduced at the ankle joint increases the sensitivity of the system and response time to the sideway disturbances.The efectiveness of the proposed strategy is experimentally tested on a bipedal robot prototype.The experimental results provide evidence that the proposed strategy is feasible and advantageous. 相似文献
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One of the major activities performed in product recovery is disassembly. Disassembly line is the most suitable setting to disassemble a product. Therefore, designing and balancing efficient disassembly systems are important to optimize the product recovery process. In this study, we deal with multi-objective optimization of a stochastic disassembly line balancing problem (DLBP) with station paralleling and propose a new genetic algorithm (GA) for solving this multi-objective optimization problem. The line balance and design costs objectives are simultaneously optimized by using an AND/OR Graph (AOG) of the product. The proposed GA is designed to generate Pareto-optimal solutions considering two different fitness evaluation approaches, repair algorithms and a diversification strategy. It is tested on 96 test problems that were generated using the benchmark problem generation scheme for problems defined on AOG as developed in literature. In addition, to validate the performance of the algorithm, a goal programming approach and a heuristic approach are presented and their results are compared with those obtained by using GA. Computational results show that GA can be considered as an effective and efficient solution algorithm for solving stochastic DLBP with station paralleling in terms of the solution quality and CPU time. 相似文献
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网络计算机集群负载均衡机制的研究 总被引:1,自引:1,他引:1
目前使用单台网络计算机应用服务器难以满足大量用户的并发访问需求,在网络计算机系统中引入集群/负载均衡技术是解决这一问题的理想途径.研究网络计算机集群的负载均衡机制.设计和实现了适合于网络计算机应用模式的负载评估方法及负载状态更新机制,并在此基础上提出和实现了一种基于分布式协商的动态负载均衡算法. 相似文献
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Monte Carlo Techniques are widely used in Computer Graphics to generate realistic images. Multiple Importance Sampling reduces the impact of choosing a dedicated strategy by balancing the number of samples between different strategies. However, an automatic choice of the optimal balancing remains a difficult problem. Without any scene characteristics knowledge, the default choice is to select the same number of samples from different strategies and to use them with heuristic techniques (e.g., balance, power or maximum). In this paper, we introduce a second‐order approximation of variance for balance heuristic. Based on this approximation, we introduce an automatic distribution of samples for direct lighting without any prior knowledge of the scene characteristics. We demonstrate that for all our test scenes (with different types of materials, light sources and visibility complexity), our method actually reduces variance in average. We also propose an implementation with low overhead for offline and GPU applications. We hope that this approach will help developing new balancing strategies. 相似文献