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2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)最新文献

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Enabling Technologies for Smart Construction Engineering: a Review 智能建筑工程的使能技术综述
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216951
F. Parisi, A. M. Mangini, M. P. Fanti
Data-driven knowledge extraction is becoming one the greatest source of information to study and manage complex systems. Today, new challenges can be provided thanks to Information and Communication Technologies and IoT paradigm that are allowing big mass of data to be stored, processed and analyzed. In this paper an insight on data driven knowledge extraction potentiality in the field of smart construction engineering is given. In particular, the main technologies for supporting the decision-management phase in Architecture, Engineering and Construction Industry (AEC Industry) are analysed. To this aim, such technologies are classified in four fields and the main contributions presented in the related literature are singled out and discussed. Finally, some examples of the current applications in the AEC industry are presented and the gap for future development in this field is enlightened.
数据驱动的知识提取正在成为研究和管理复杂系统的最大信息来源之一。如今,由于信息通信技术和物联网范式允许存储,处理和分析大量数据,因此可以提供新的挑战。本文对智能建筑工程领域中数据驱动的知识抽取潜力进行了探讨。特别地,分析了在建筑、工程和建筑业(AEC工业)中支持决策管理阶段的主要技术。为此,将这些技术分为四个领域,并对相关文献中的主要贡献进行了挑选和讨论。最后,给出了目前在AEC行业中的一些应用实例,并指出了该领域未来发展的差距。
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引用次数: 3
Developing SCADA Systems to Monitor and Control Liquid and Detergent Factories 开发监控和控制液体和洗涤剂工厂的SCADA系统
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9217002
Tariku Sinshaw Tamir, Gang Xiong, Hiruy Mulugeta Menkir, Xiuqin Shang, Zhen Shen, Xisong Dong, Xiaoyan Gong
The SCADA system, which means Supervisory Control and Data Acquisition systems, are widely used in automatic management and control of producing and manufacturing processes throughout the world, reducing manpower and improving production efficiency. However, in Ethiopia, the manufacturing sector is at its infant stage and manual systems are mostly applied in existing factories. Therefore, in this paper we design a monitoring system based on existing SCADA system only in English and develops HMI software with GUI representing sub components to enable computerized controlling and monitoring of different parts in factories both in English and Amharic. Simulation results show interactions among sensors, actuators, SCADA hardware and HMI software in the overall system and real time data can be transferred and stored in databases. Finally, it is observed from PI controllers that tanker’s level can reach its steady state value after 0.15 seconds.
SCADA系统,即监控和数据采集系统,在世界范围内广泛应用于生产制造过程的自动化管理和控制,减少了人力,提高了生产效率。然而,在埃塞俄比亚,制造部门处于初级阶段,现有工厂大多采用手工系统。因此,本文在现有的全英文SCADA系统的基础上,设计了一个监控系统,并开发了以GUI表示各子部件的HMI软件,实现了对工厂各部件的计算机控制和监控。仿真结果显示了整个系统中传感器、执行器、SCADA硬件和HMI软件之间的交互作用,实时数据可以传输并存储在数据库中。最后,从PI控制器观察到,在0.15秒后,油罐车的液位可以达到稳态值。
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引用次数: 5
Multi-Agent Strategy Synthesis for LTL Specifications through Assumption Composition 基于假设组合的LTL规范多智能体策略综合
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216991
Georg Friedrich Schuppe, Jana Tumova
We propose a compositional solution to the strategy synthesis problem for LTL specifications in the cooperative (heterogeneous) multi-agent scenario. A main challenge of the general strategy synthesis approach is the state-space explosion occurring during construction of a global model for agents with different, mutually dependent goals. Given a set of agents and their individual goal specifications represented through a local model and an LTL formula, we compute a compliant set of strategies that fulfill each agents’ goal specification. We avoid the state-space explosion by computing individual solutions for each agent separately and then composing these solutions. During the initial strategy computation, assumptions over the states of other agents not represented in the local model are generated only where needed. These assumptions are resolved during composition of the individual solutions to assure compliance of the computed strategies. The effectiveness of this approach is demonstrated in several simulation case studies and compared to the classical, monolithic approach.
针对协作(异构)多智能体场景下LTL规范的策略合成问题,提出了一种组合解决方案。一般策略综合方法的一个主要挑战是在为具有不同相互依赖目标的智能体构建全局模型时发生的状态空间爆炸。给定一组代理及其通过局部模型和LTL公式表示的单个目标规范,我们计算一组符合每个代理目标规范的策略。我们通过分别计算每个智能体的单独解决方案,然后组合这些解决方案来避免状态空间爆炸。在初始策略计算期间,仅在需要时才生成对本地模型中未表示的其他代理状态的假设。这些假设在各个解决方案的组合过程中得到解决,以确保计算策略的一致性。该方法的有效性在几个仿真案例研究中得到了证明,并与经典的单片方法进行了比较。
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引用次数: 0
The orienteering Problem with Replenishment 定向运动中的补给问题
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216857
Nathan D. Wallace, He Kong, A. Hill, S. Sukkarieh
The planning of long-duration missions for resource-constrained agents is a longstanding challenge not only in field robotics research, but also in the fields of vehicle routing and logistics. To efficiently plan missions over a larger time scale than an agent’s resource capacity natively allows, it is necessary to exploit the availability of recharging stations, where an agent can replenish its spent resources at the cost of time. This paper presents the Orienteering Problem with Replenishment, a novel extension of the orienteering problem, which can fully utilise the existence of recharging stations by not only revisiting such stations, but also intelligently managing the amount of time spent recharging at each stop. By leveraging the above mechanisms for overcoming the resource limitations of the platform, the proposed problem formulation allows for the planning of longer term missions. A suite of computational tests are performed to assess the proposed formulation, and its performance is analysed with respect to the impact of intelligent utilisation of the recharge points on reward acquisition. Finally, limitations of the proposed problem formulation are discussed, and avenues for future work are presented.
资源受限智能体的长时间任务规划不仅是现场机器人研究领域的一个长期挑战,也是车辆路径和物流领域的一个长期挑战。为了在更大的时间尺度上有效地规划任务,有必要利用充电站的可用性,在充电站中,代理可以以时间为代价补充其消耗的资源。本文提出了带补给的定向运动问题,这是定向运动问题的一个新扩展,它不仅可以通过重新访问充电站来充分利用充电站的存在性,而且可以智能地管理每站的充电时间。通过利用上述机制克服平台的资源限制,拟议的问题提法可以规划较长期的任务。执行了一套计算测试来评估所建议的公式,并就智能利用充值点对奖励获取的影响分析了其性能。最后,讨论了所提出的问题表述的局限性,并提出了未来工作的途径。
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引用次数: 4
Model-Based Suppression Control for Liquid Vessels Carried by a Humanoid Robot While Stair-Climbing 仿人机器人爬楼梯时携带液体容器的模型抑制控制
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216826
Jean Chagas Vaz, P. Oh
This paper presents a study to evaluate the effects of sloshing phenomena while a humanoid robot climbs stairs while carrying water containers. Currently humanoid robots can perform a wide range of tasks including handling tools, climbing ladders, and patrolling rough terrain. However, when it comes to manipulation of objects humanoids are fairly limited. This becomes more apparent when humanoids have to handle non-rigid objects. Although many full-sized humanoids cost an extensive amount of money, they fail to respond to common tasks during disaster relief such as delivering water to the victims or possible fires. After disasters such as Hurricane Maria, the need for humanoid robots to assist in these scenarios is becoming increasingly evident. In previous work the authors have developed an algorithm which allows the robot to walk while carrying water buckets. Experiments conducted use the full-sized humanoid DRC-Hubo as an experimental platform. Moreover, a sloshing reduction controller is implemented in order to suppress rocking disturbances. The system was integrated via ROS (Robot Operating System). Additionally, the sloshing reduction was evaluated based on sensor data evaluation.
本文研究了仿人机器人搬运水容器爬楼梯时晃动现象的影响。目前,人形机器人可以执行广泛的任务,包括搬运工具、爬梯子和巡逻崎岖的地形。然而,当涉及到操纵物体时,类人机器人是相当有限的。当类人必须处理非刚性物体时,这一点变得更加明显。虽然许多全尺寸的人形机器人花费了大量的钱,但它们无法在救灾中执行常见的任务,比如向受害者供水或可能发生的火灾。在诸如玛丽亚飓风这样的灾难之后,对人形机器人在这些场景中提供协助的需求变得越来越明显。在之前的工作中,作者已经开发了一种算法,可以让机器人在提着水桶走路。实验采用全尺寸人形机器人DRC-Hubo作为实验平台。此外,为了抑制摇摆干扰,还设计了减摇控制器。该系统通过ROS(机器人操作系统)集成。此外,基于传感器数据评估对晃动减少进行了评估。
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引用次数: 3
Human Cyber-Physical Systems: A skill-based correlation between humans and machines 人类信息物理系统:人类和机器之间基于技能的关联
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216843
Emma M. Flores, Xun Xu, Yuqian Lu
Cyber-Physical Systems (CPS) are an integral element of Industry 4.0, and these systems are said to have become gradually more intelligent throughout the years. Moreover, as technologies such as Artificial Intelligence and Internet of Things evolve, the suspicion arises on whether machines and humans could cohesively share control in the system. Despite efforts in the literature regarding the architecture and the implementation of CPS and Human CyberPhysical Systems (HCPS), more work needs to be done to highlight the similarities and strengths between people and machines. In this work, we take on the challenge to show that comparison from a human-skill perspective. This analysis highlights some of the human capabilities that have been moved to technologies. It also presents an updated list of human-machine capability differences. Besides, it identifies the human elements involved in HCPS as well as the skills included and required while working with HCPS.
网络物理系统(CPS)是工业4.0不可或缺的组成部分,据说这些系统在过去几年中逐渐变得更加智能。此外,随着人工智能和物联网等技术的发展,人们开始怀疑机器和人类能否在系统中紧密地共享控制权。尽管文献中有关于CPS和人类网络物理系统(HCPS)的架构和实现的努力,但需要做更多的工作来突出人和机器之间的相似之处和优势。在这项工作中,我们接受了挑战,从人类技能的角度来展示这种比较。这个分析强调了一些已经转移到技术上的人类能力。它还提供了人机能力差异的更新列表。此外,它还确定了HCPS中涉及的人员因素以及使用HCPS时所包含和所需的技能。
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引用次数: 5
One-Way Observation-based Cooperative Robot Mapping 基于单向观测的协作机器人映射
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216996
Heoncheol Lee
This paper addresses the problem of cooperative mapping in multi-robot SLAM (simultaneous localization and mapping) with unknown initial relative poses among robots. If mutual observation measurements between robots are available when the robots encounter each other, the map transformation between robots for cooperative mapping can be easily obtained. However, the mutual observation measurements require too strict assumptions such as a rendezvous and encounters, which is not practical in real multi-robot systems. Moreover, the mutual observation measurements may contain inevitable errors due to the errors in sensors. To relax the assumption and correct the errors, this paper proposes a one-way observation-based technique for cooperative mapping. The proposed technique was tested with datasets obtained by real experiments with two mobile robots. Each robot was equipped with a sensor fusion system to observe other robots. The test results showed that the proposed technique worked well and improved the accuracy of the cooperatively produced map.
研究了在初始相对姿态未知的情况下,多机器人SLAM (simultaneous localization and mapping)中的协同映射问题。如果机器人之间有相互观测的测量结果,那么机器人之间的地图转换就可以很容易地进行协作测绘。然而,相互观察测量需要过于严格的假设,如交会和相遇,这在实际的多机器人系统中是不现实的。此外,由于传感器的误差,相互观测的测量结果可能存在不可避免的误差。为了放宽假设并修正误差,本文提出了一种基于单向观测的协同映射技术。用两台移动机器人的真实实验数据集对该方法进行了验证。每个机器人都配备了传感器融合系统,以观察其他机器人。实验结果表明,该方法效果良好,提高了协同制作地图的精度。
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引用次数: 1
A Demonstrative Case Study of Minibus Assembly under GiMS GiMS下小巴装配的示范案例研究
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9217013
Nianzi Yang, Daqiang Guo, G. Huang
Assembly islands with fixed-position layout refers to a configuration in which the product remains at a fixed site and requires workers moving among different islands. This kind of production pattern is widely applied in heavy industrial manufacturing. However, due to the complexity and highly dynamic level of material and manpower flows, it is difficult to manage the production process in fixed-position assembly island. Graduation intelligent Manufacturing System (GiMS) is viewed as a promising system for tackling production with high complexity and uncertainty. To explore the application of GiMS in fixed product (minibus) assembly. This paper presents a demonstrative case study of minibus assembly under GiMS. IoT technologies are adopted to create smart manufacturing environment, and cloud-based services are developed for facilitating decision-making and daily operation. In addition, the implementation of three kinds of smart tickets in the case gives an explicit illustration of how it works.
装配岛固定位置布局是指产品保持在固定地点,需要工人在不同岛屿之间移动的一种配置。这种生产方式在重工业制造业中得到了广泛的应用。然而,由于物料和人力流动的复杂性和高度动态性,固定位置组装岛的生产过程管理难度较大。毕业智能制造系统(GiMS)被认为是解决高复杂性和不确定性生产的一种很有前途的系统。探讨GiMS在固定产品(小巴)装配中的应用。本文以GiMS下的小巴装配为例进行了示范研究。采用物联网技术打造智能制造环境,发展云服务,为决策和日常运营提供便利。此外,本案例中三种智能票证的实现对其工作原理进行了明确的说明。
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引用次数: 0
Performance Estimating in an Innovative AGVs-based Parcel Sorting System Considering the Distribution of Destinations 考虑目的地分布的创新agv包裹分拣系统性能评估
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216812
Lanfang Zi, Benhe Gao
With the increasing volume of parcel sorting in the warehouse, it is more and more important to improve the throughput of the warehouse. In this paper, for the parcel sorting system based on AGVs, the throughput of the system is estimated by building an M/M/s queueing model. Considering the distribution of parcel destinations, we divide the warehouse into a popular area and an unpopular area. The popular area is consists of workstations and containers with a circular layout, while the unpopular area is distributed far away from the workstations with grid layout. The throughput of the system is estimated by estimating the completion time of sorting a parcel by an AGV. In order to find out the number of AGV in two areas, we design a heuristic search algorithm. Through the numerical experiments, we analyze the influence of the circular sorting probability, the number of AGVs, the number of workstations, and the layout of containers on the system throughput. This study can provide some valuable insights for practical work.
随着仓库中包裹分拣量的不断增加,提高仓库的吞吐量变得越来越重要。本文针对基于agv的包裹分拣系统,通过建立M/M/s排队模型来估计系统的吞吐量。考虑到包裹目的地的分布,我们将仓库划分为热门区域和非热门区域。受欢迎的区域由工作站和容器组成,采用圆形布局,而不受欢迎的区域分布在远离工作站的地方,采用网格布局。通过估计AGV分拣包裹的完成时间来估计系统的吞吐量。为了找出两个区域的AGV数量,我们设计了一种启发式搜索算法。通过数值实验,分析了循环分拣概率、agv数量、工作站数量和集装箱布局对系统吞吐量的影响。本研究可以为实际工作提供一些有价值的见解。
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引用次数: 1
Hybrid Frame-Event Solution for Vision-Based Grasp and Pose Detection of Objects 基于视觉的物体抓取和姿态检测的帧-事件混合解决方案
Pub Date : 2020-08-01 DOI: 10.1109/CASE48305.2020.9216970
Kyra Wang, Sihan Yang, Deepesh Kumar, N. Thakor
A key challenge in object manipulation using prosthetic hands is grasp detection and pose estimation, especially in cluttered scenes. Vision-based robotic grasping solutions typically only use conventional frame-based video cameras with high spatiotemporal redundancy, which is unsuitable for mobile platforms like prostheses with low processing power. On the other hand, while event-based dynamic vision sensors (DVS) have low spatiotemporal redundancy, their low resolution results in poor object segmentation and detection performance. In this paper we outline a novel hybrid solution inspired by the two-streams hypothesis of the neural processing of vision, utilizing both a frame-based video camera and a DVS to counter the pitfalls of both systems. By using computationally efficient object detection methods on the frame-based camera to highlight regions-of-interest (ROIs) for the DVS, we are able to perform pose estimation by computing the smallest axis of DVS events generated in the ROI. The proposed approach allows us to rapidly determine the required wrist rotation and a suitable grasp type to pick up objects using a prosthetic hand. Results on a laptop show that our method matches the accuracy of a conventional solution that employs only a frame-based video camera, while achieving 77.29% faster inference speed.
用假手操纵物体的一个关键挑战是抓取检测和姿态估计,特别是在混乱的场景中。基于视觉的机器人抓取解决方案通常只使用传统的基于帧的视频摄像机,具有高时空冗余,不适合处理能力低的假体等移动平台。另一方面,基于事件的动态视觉传感器(DVS)具有较低的时空冗余,但其较低的分辨率导致目标分割和检测性能较差。在本文中,我们概述了一种新的混合解决方案,该解决方案受到视觉神经处理的双流假设的启发,利用基于帧的视频摄像机和分布式交换机来克服这两种系统的缺陷。通过在基于帧的相机上使用计算效率高的目标检测方法来突出DVS的感兴趣区域(ROI),我们能够通过计算ROI中生成的DVS事件的最小轴来执行姿态估计。所提出的方法使我们能够快速确定所需的手腕旋转和合适的抓取类型,以使用假手拾取物体。在笔记本电脑上的结果表明,我们的方法与仅使用基于帧的摄像机的传统解决方案的精度相当,同时实现了77.29%的快推理速度。
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引用次数: 1
期刊
2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
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