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Research on reliable coverage planning of substation based on equipment service level 基于设备服务水平的变电站可靠覆盖规划研究
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2814/1/012007
Weiping Shao, Yong Li, Meiying Wang and Jinyi Qiu
5G network can meet the multi-type service access needs of substations and promote the intelligent upgrade and transformation of power grids. The layout of buildings and electrical equipment in substations, as well as electromagnetic interference, will have a greater impact on 5G signal coverage. In this paper, a three-dimensional simulation model of the substation is first established, and basic parameters of base station planning are determined. Then, a safety function considering equipment service level and an electromagnetic interference calculation method are defined. Finally, a coverage planning algorithm based on electrical equipment service level and received power quality is proposed to improve the reliability of service access and ensure the safe and stable operation of the system. Simulation results show that the algorithm is effective and reliable.
5G 网络可满足变电站多类型业务接入需求,促进电网智能化升级改造。变电站内建筑物、电气设备的布局以及电磁干扰等因素对 5G 信号覆盖的影响较大。本文首先建立了变电站的三维仿真模型,确定了基站规划的基本参数。然后,定义了考虑设备服务水平的安全函数和电磁干扰计算方法。最后,提出了基于电气设备服务水平和接收电能质量的覆盖规划算法,以提高服务接入的可靠性,确保系统安全稳定运行。仿真结果表明,该算法有效可靠。
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引用次数: 0
Manufacturing and testing of pliers to weld 3D printing filaments 制造和测试用于焊接 3D 打印长丝的钳子
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/012006
J Török, M Kočiško, M Pollák and R Vandžura
The advent of affordable three-dimensional printers has unlocked new possibilities for small business owners and hobbyists to convert their digital designs into tangible objects. However, during the production process, a lot of material ends up as waste because of improper storage or unused plastic fibers. This paper discusses the existing market products that aim to tackle these issues. Additionally, we introduce a specially designed pair of welding tongs that make it effortless to join plastic fibers utilized in fused deposition modeling printers. The paper presents a prototype of the tongs and provides a summary of the optimal welding temperatures for different printing materials. Finally, the conclusion evaluates the strength of the fibers after the welding process based on the results obtained from a testing mechanism.
经济实惠的三维打印机的出现,为小企业主和业余爱好者将数字设计转化为有形物品提供了新的可能性。然而,在生产过程中,由于储存不当或未使用的塑料纤维,大量材料最终成为废物。本文讨论了旨在解决这些问题的现有市场产品。此外,我们还介绍了一对专门设计的焊接钳,它可以轻松连接熔融沉积建模打印机中使用的塑料纤维。论文介绍了焊钳的原型,并总结了不同打印材料的最佳焊接温度。最后,根据测试机制得出的结果,对焊接过程后纤维的强度进行了评估。
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引用次数: 0
Affordance-informed Robotic Manipulation via Intelligent Action Library 通过智能动作库实现情境机器人操纵
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/012003
G Sheng, L Zhiyang, Z Ruiteng, Z Lei, Y Chengran, Z Zhengshen and M H Ang
In the realm of conventional affordance detection, the primary objective is to provide insights into the potential uses of objects. However, a significant limitation remains as these conventional methods merely treat affordance detection as a semantic segmentation task, disregarding the crucial aspect of interpreting affordances for actions that can be performed by manipulator. To address this critical gap, we present a novel pipeline incorporating the Intelligent Action Library (IAL) concept. This framework enables affordance interpretation for various manipulation tasks, allowing robots to be taught and guided on how to execute specific actions based on the detected affordances and human-robot interaction. Through real-world experiments, we have demonstrated the ingenuity and dependability of our pipeline, effectively bridging the gap between affordance detection and manipulation task planning and execution. The integration of IAL facilitates a seamless connection between understanding affordances and empowering robots to perform tasks with precision and efficiency. The demo link is available to the public: https://youtu.be/_oBAer2Vl8k
在传统的能力检测领域,主要目标是深入了解物体的潜在用途。然而,由于这些传统方法仅仅将承受力检测作为语义分割任务来处理,而忽略了将承受力解释为可由操纵者执行的动作这一重要方面,因此仍然存在很大的局限性。为了解决这一关键问题,我们提出了一种包含智能动作库(IAL)概念的新型管道。该框架可对各种操纵任务进行承受能力解释,并根据检测到的承受能力和人机交互情况,教授和指导机器人如何执行特定动作。通过真实世界的实验,我们证明了我们管道的独创性和可靠性,有效地弥合了能力检测与操纵任务规划和执行之间的差距。IAL 的集成促进了对能力的理解与增强机器人执行任务的精确性和效率之间的无缝连接。演示链接向公众开放:https://youtu.be/_oBAer2Vl8k
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引用次数: 0
Peer Review Statement 同行评审声明
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/011002
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single Anonymous • Conference submission management system: Morressier • Number of submissions received: 80 • Number of submissions sent for review: 64 • Number of submissions accepted: 27 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 33.8 • Average number of reviews per paper: 3 • Total number of reviewers involved: 7 • Contact person for queries: Name: Xuexia Ye Email: xx.ye@keoaeic.org Affiliation: AEIC Academic Exchange Information Centre
本卷中发表的所有论文均已通过编辑部的审核。审稿专家按照 IOP 出版社出版的论文集期刊应有的专业和科学标准进行审稿。- 同行评审类型:单一匿名 - 会议投稿管理系统:收到的投稿数量:80 - 送审稿件数量:64 - 接受稿件数:27 - 接受率(接受稿件数/收到稿件数 × 100):33.8 - 每篇论文的平均审阅次数:3 - 参与评审的总人数:77 - 询问联系人:姓名: Xuexia YeXuexia Ye Email: xx.ye@keoaeic.org Affiliation:AEIC 学术交流信息中心
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引用次数: 0
Image segmentation based on improved hybrid krill herd algorithm 基于改进型混合磷虾群算法的图像分割技术
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012007
Peng Zhang and Ye Tian
Image segmentation is an important problem in the field of image processing. Traditional multi-threshold image segmentation faces the problems of inefficiency and lack of real-time performance. In order to improve these problems, a Kapur multi-threshold segmentation algorithm based on the improved hybrid krill herd algorithm is proposed, which adopts a novel population iterative approach limited to the top krill to effectively alleviate the phenomenon of excessive aggregation of krill. Building on this foundation, the differential evolutionary algorithm is combined with the krill herd algorithm, which provides a sufficient search range to strengthen the ability of the algorithm to jump out of the local optimum. The experimental results of multi-threshold segmentation on three classical test images show that the proposed improved algorithm can achieve higher segmentation accuracy and quality, and the convergence rate is mostly above 90%, which verifies the reliability and effectiveness of the algorithm in multi-threshold image segmentation problems.
图像分割是图像处理领域的一个重要问题。传统的多阈值图像分割面临着效率低、缺乏实时性等问题。为了改善这些问题,本文提出了一种基于改进的混合磷虾群算法的 Kapur 多阈值分割算法,该算法采用了一种新颖的种群迭代方法,仅限于顶级磷虾,有效缓解了磷虾过度聚集的现象。在此基础上,将差分进化算法与磷虾群算法相结合,提供了足够的搜索范围,增强了算法跳出局部最优的能力。对三幅经典测试图像进行多阈值分割的实验结果表明,所提出的改进算法可以获得更高的分割精度和质量,收敛率大多在 90% 以上,验证了该算法在多阈值图像分割问题上的可靠性和有效性。
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引用次数: 0
Study on the morphology and mechanical properties of dissimilar Al/Al-Li alloy T-joints by friction stir welding 通过搅拌摩擦焊研究异种铝/铝锂合金 T 型接头的形态和机械性能
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/012007
D Q Zuo, Y J Han, H R Fu, S Q Jin, T Ye and Y M Fu
Friction stir welding is an emerging solid-state joining technology. With the advantages of small post-weld deformation and high connection performance, it is widely used in the aerospace field. In this paper, the FSW welding process of 7055-T61 Al and 2197-T8 Al-Li dissimilar T-shaped stiffened panel was investigated. The purpose of this paper is to analyze the influence of tool shoulder structure and welding parameters on the morphology and mechanical properties of T-joints. It is found that compared with the shoulder inner concave surface without spiral, the weld defects of shoulder inner concave surface with spiral are less. When the welding speed v is 60 mm/min, the rotation speed w is 350 r/min and the plunge depth h is 0.21 mm, the transverse tensile strength of T-joint is 408 MPa, which reaches respectively 68.0% and 71.6% of the base materials 7055-T61 and 2197-T8. It shows that the welding quality of T-joints is better when it is implemented under the optimal combination of welding process parameters.
搅拌摩擦焊是一种新兴的固态连接技术。它具有焊后变形小、连接性能高等优点,被广泛应用于航空航天领域。本文研究了 7055-T61 Al 和 2197-T8 Al-Li 异种 T 形加劲板的 FSW 焊接工艺。本文旨在分析工具肩结构和焊接参数对 T 形接头形貌和力学性能的影响。研究发现,与不带螺旋线的刀肩内凹面相比,带螺旋线的刀肩内凹面的焊接缺陷较少。当焊接速度 v 为 60 mm/min、旋转速度 w 为 350 r/min、切入深度 h 为 0.21 mm 时,T 型接头的横向抗拉强度为 408 MPa,分别达到母材 7055-T61 和 2197-T8 的 68.0% 和 71.6%。这表明,在最佳焊接工艺参数组合下,T 型接头的焊接质量更好。
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引用次数: 0
Causal V: A five-phase causal mining methodology for real-world accident data 因果 V:针对真实世界事故数据的五阶段因果挖掘方法论
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012006
Jiangnan Zhao
Amid rapid advancements in autonomous vehicle technology, traffic accidents due to Autonomous Driving Systems (ADS) flaws persist. The critical task of attributing causality to accidents and forecasting potential incidents based on situational data stands at the forefront of enhancing vehicular safety. Addressing these challenges, this study introduces Casual V, a systematic five-phase V-shape approach to constructing a causal Bayesian network (CBN) from massive real-work crash data. To evaluate the proposed approach, a CBN was constructed from more than 300,000 Maryland accident records. Experiments demonstrate that our method is capable of effectively constructing a CBN that provides deep insights into the causal relationships within vehicular accident data.
在自动驾驶汽车技术飞速发展的同时,由于自动驾驶系统(ADS)缺陷而导致的交通事故依然存在。如何根据态势数据归因于事故并预测潜在事故,是提高车辆安全性的关键任务。为应对这些挑战,本研究引入了 Casual V,这是一种系统的五阶段 V 型方法,用于从海量实际碰撞数据中构建因果贝叶斯网络(CBN)。为了评估所提出的方法,我们从 30 多万条马里兰州事故记录中构建了一个 CBN。实验证明,我们的方法能够有效构建 CBN,从而深入揭示车辆事故数据中的因果关系。
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引用次数: 0
Peer Review Statement 同行评审声明
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/011002
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 39 • Number of submissions sent for review: 29 • Number of submissions accepted: 17 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 43.6 • Average number of reviews per paper: 2 • Total number of reviewers involved: 27 • Contact person for queries: Name: Mei Lin Email: neo_meilin@sie.sg Affiliation: SIE, Sinagpore - Excutive Office
本卷中发表的所有论文均已通过编辑部的审核。审稿专家按照 IOP 出版社出版的论文集期刊应有的专业和科学标准进行审稿。- 同行评审类型:双重匿名 - 会议投稿管理系统:Morressier - 收到的投稿数量:39 - 送审稿件数量:29 - 接受的投稿数量:17 - 接受率(接受的提交材料/收到的提交材料 × 100):43.6 - 每篇论文的平均评审次数:2 - 参与评审的总人数:27 - 询问联系人:姓名:Mei Lin Email: neo_meilin@sie.sg Affiliation:SIE, Sinagpore - Excutive Office
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引用次数: 0
A UWB indoor positioning method based on triple filtering fingerprint matching algorithm 基于三重滤波指纹匹配算法的 UWB 室内定位方法
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012003
Jiaqi Yang, Junbo Gao, Wei Sun and Xin Jing
In recent years, ultra-wideband (UWB) has gradually become a research hot spot in the field of indoor positioning because of its various advantages. Although UWB has such excellent performance in normal environments, the non-line-of-sight propagation of signals in complex indoor environments and the multi-path effect caused by obstacles will affect its positioning accuracy. To solve this problem, we use the fingerprint positioning method and optimize the previously commonly used k-nearest neighbor algorithm in the online matching phase. In this paper, we proposed a triple-filtered k-nearest neighbor algorithm based on sample distance weighting (TFWKNN). Experimental results show that the mean calculation error of TFWKNN is 63.4% less than the k-nearest algorithm, and the proposed algorithm has better prediction stability than other commonly used machine learning regression algorithms.
近年来,超宽带(UWB)因其各种优势逐渐成为室内定位领域的研究热点。虽然 UWB 在正常环境下具有如此优异的性能,但在复杂的室内环境中,信号的非视距传播和障碍物造成的多路径效应会影响其定位精度。为了解决这一问题,我们采用了指纹定位方法,并在在线匹配阶段对之前常用的 k 近邻算法进行了优化。本文提出了一种基于样本距离加权的三重过滤 k 近邻算法(TFWKNN)。实验结果表明,TFWKNN 的平均计算误差比 k 最近邻算法小 63.4%,与其他常用的机器学习回归算法相比,该算法具有更好的预测稳定性。
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引用次数: 0
Capacity optimization of a large-scale photovoltaic power generation system coupled with hydrogen production and storage based on economic analysis 基于经济分析的大规模光伏发电系统与氢气生产和储存的产能优化
Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2814/1/012002
Sheng Zhang, Bo Li, Dongjie Xu and Jinyang Zheng
The renewable energy system coupled with hydrogen storage has proven to be a suitable method to reduce the variability of output power and meet stable hydrogen supply demand. However, the excessive cost of hydrogen through water electrolysis using renewable energy restricts its application, and the capacity configuration of electrolyzers and gaseous hydrogen storage tanks is affected by the immoderate reliance on engineering experience, leading to the unbalance of generation side and hydrogen demand side. In this study, a 300 MW photovoltaic power generation system has been proposed to fit the raw material demand of a synthetic ammonia plant, i.e., around 1000 kg/h hydrogen. A simplified mathematical model including an electrolyzer and a hydrogen tank is proposed to get the best capacity configuration. The levelized cost of hydrogen (LCOH) is chosen as an optimization function, and a particle swarm optimization algorithm is adopted to get the optimal results. The simulation results indicate that the optimal capacity configuration is 176.36 MW for the electrolyzer and 14644.2 Nm3 for the hydrogen tank, and the LCOH is 30.31 Yuan/kg. Compared with the empirical model, the LCOH based on the optimization model is 8.87% lower than that of the empirical model, indicating better economic benefits of the optimization model.
事实证明,可再生能源系统与氢气储存相结合,是减少输出功率变化、满足稳定氢气供应需求的合适方法。然而,利用可再生能源电解水制氢的成本过高,限制了其应用,而且电解槽和气态储氢罐的容量配置也受到过度依赖工程经验的影响,导致发电侧和氢气需求侧的不平衡。本研究提出了一个 300 兆瓦的光伏发电系统,以满足合成氨厂的原料需求,即每小时约 1000 千克氢气。我们提出了一个简化的数学模型,包括一个电解槽和一个氢气罐,以获得最佳产能配置。选择氢的平准化成本(LCOH)作为优化函数,并采用粒子群优化算法来获得最佳结果。仿真结果表明,最佳产能配置为电解槽 176.36 MW,氢气罐 14644.2 Nm3,LCOH 为 30.31 元/kg。与经验模型相比,基于优化模型的 LCOH 比经验模型低 8.87%,表明优化模型具有更好的经济效益。
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引用次数: 0
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