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Stress Analysis of Concrete Materials Based on Finite Element Analysis 基于有限元分析的混凝土材料应力分析
Pub Date : 2022-08-12 DOI: 10.1155/2022/1826598
Rui Yang, S. Yuan
China’s construction industry standard “technical code for concrete special-shaped column structure” has been implemented since 2006, and the use of special-shaped walls in the actual construction of buildings is more common. The cross-section wall can effectively reduce the protruding angle of the building, thereby expanding the effective building area of the room, reducing the proportion of the building components themselves, and making the structure layout of the building more beautiful. In order to analyze the dynamic characteristics of eccentrically compressed prestressed concrete beams, the finite element simulation of different reinforcement parameters, longitudinal reinforcement diameter, and reinforcement ratio was constructed. Through comparison, the load flexibility curve change law of concrete stress cloud and reinforcement stress cloud under various working conditions and the influence change law of test mold are studied, and the influence change law of dynamic characteristics under the above four conditions and unidirectional bias pressure is clarified.
中国建筑行业标准《混凝土异形柱结构技术规范》自2006年开始实施,异形墙在建筑实际施工中的使用较为普遍。横截面墙可以有效地减小建筑的突出角度,从而扩大房间的有效建筑面积,减少建筑构件本身的比例,使建筑的结构布局更加美观。为了分析偏心受压预应力混凝土梁的动力特性,构建了不同配筋参数、纵筋直径和配筋率的有限元模拟。通过对比,研究了各种工况下混凝土应力云和钢筋应力云的荷载柔度曲线变化规律及试验模具的影响变化规律,明确了上述四种工况及单向偏压下的动力特性影响变化规律。
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引用次数: 0
Function Extraction Based on CFPS and Digital Financial Index: Data Mining Techniques for Prognosis of Operational Risks of Financial Institutions 基于CFPS和数字财务指标的功能提取:金融机构操作风险预测的数据挖掘技术
Pub Date : 2022-08-11 DOI: 10.1155/2022/9645142
Bohua Li, Genwang Li
Financial deregulation, financial globalization, and the increasing variety and technological sophistication of the commodities offered by financial services have made the operations of financial institutions more complex. Compared with credit risk and market risk, financial institutions’ transaction risk management plays an increasingly important role in financial practice. As an emerging technology, big data mining technology has a unique advantage in optimizing the processing and management of large amounts of data. Big data mining technology not only has the common functions of finding, comprehensively managing all kinds of information, collecting and analyzing data, and conducting statistics but also should have the ability to process information that is hidden and useful in the database through data mining technology. Based on CFPS and data mining technology, this paper analyzes the operational risk of financial institutions, analyzes the causes of the operational risk of financial institutions, discusses the measures to avoid the operational risk of financial institutions, and draws corresponding conclusions.
金融放松管制、金融全球化以及金融服务所提供的商品的日益多样化和技术复杂性使金融机构的运作更加复杂。与信用风险和市场风险相比,金融机构的交易风险管理在金融实践中发挥着越来越重要的作用。大数据挖掘技术作为一门新兴技术,在优化海量数据的处理和管理方面具有独特的优势。大数据挖掘技术除了具有查找、综合管理各类信息、收集和分析数据、进行统计等常见功能外,还应具有通过数据挖掘技术处理数据库中隐藏的有用信息的能力。本文基于CFPS和数据挖掘技术,对金融机构的操作风险进行分析,分析金融机构操作风险产生的原因,探讨规避金融机构操作风险的措施,并得出相应的结论。
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引用次数: 0
Research on the Bionic Flexible End-Effector Based on Tomato Harvesting 基于番茄收获的仿生柔性末端执行器研究
Pub Date : 2022-08-11 DOI: 10.1155/2022/2564952
Tiezheng Guo, Yifeng Zheng, Weixi Bo, Jun Liu, Jie Pi, Wei Chen, Junzhuo Deng
Aiming at the problems that tomatoes are fragile and the traditional end-effector design is not suitable for tomato picking, a combination of the bionic principle of FRE structure and finger design was proposed. Based on the physical properties of tomatoes, a flexible underactuated end-effector for tomato picking and sorting was designed. The optimal structural parameters of fingers were determined by finite element analysis, and the tomato grasping experiment was carried out. The results show that the flexible end can grasp and transport tomatoes with diameters ranging from 65 to 95 mm without damage, which can withstand 7 N tensile force, the load is more than 2 times of its own weight, the tomato coverage rate is greater than 23.6%, and the effective grab rate is 100% and has the advantages of the strong stability, universality, and protection. The research provides a novel solution for the design and application of the tomato picking and sorting robot end-effector.
针对番茄易碎和传统末端执行器设计不适合采摘番茄的问题,提出了将FRE结构的仿生原理与手指设计相结合的方法。根据番茄的物理特性,设计了一种柔性欠驱动番茄采摘分选末端执行器。通过有限元分析确定了手指的最佳结构参数,并进行了番茄抓取实验。结果表明,柔性端可抓取运输直径65 ~ 95 mm的番茄而不损坏,可承受7 N拉力,载荷大于自重2倍,番茄覆盖率大于23.6%,有效抓取率为100%,具有稳定性强、通用性强、保护性强等优点。该研究为番茄采摘分拣机器人末端执行器的设计和应用提供了新的解决方案。
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引用次数: 5
Node Injection Control Logic Design for Intelligent Home System Based on Wireless Sensor Network 基于无线传感器网络的智能家居系统节点注入控制逻辑设计
Pub Date : 2022-08-11 DOI: 10.1155/2022/7284426
Zhenggui Zhou
Smart home is a building, network, communication, automation, set management, and service, as one of the efficient, comfortable, safe, and environmental protection of the living environment, and can provide personalized living space according to the needs of different users. Due to the advantages of wireless sensor network (WSN), such as strong expansion ability, strong communication ability, and strong self-organization ability, the smart home system based on WSN has become the main development direction in the field of smart home. This paper analyzes the different functions and features of wireless sensor network routing protocol and use scope, aiming at the application layer, using the MQ queue enhance server concurrent processing capacity and system scalability and design based on application layer gateway and terminal node “data matching list,” which are introduced in the design of smart home system based on geographic information location energy-efficient routing protocols. The solution of routing void problem is improved by using information feedback mechanism and alternate nodes. Simulation results show that this method can improve the energy saving of energy-efficient routing protocol. Finally, the intelligent home system experiment platform was built to verify the overall function of the system, and the communication function of the WiFi network and ZigBee network was tested. Based on the analysis of the interference between ZigBee and WiFi network, frequency agility algorithm is used to solve the problem of the same frequency interference, so as to ensure the performance of the system to meet the needs of the smart home system.
智能家居是集楼宇、网络、通信、自动化、集管理、服务为一体的高效、舒适、安全、环保的居住环境,并能根据不同用户的需求提供个性化的生活空间。由于无线传感器网络(WSN)具有扩展能力强、通信能力强、自组织能力强等优点,基于WSN的智能家居系统已成为智能家居领域的主要发展方向。本文分析了无线传感器网络路由协议的不同功能和特点及使用范围,针对应用层,利用MQ队列增强服务器并发处理能力和系统可扩展性,设计了基于应用层网关和终端节点的“数据匹配列表”,将其引入到基于地理信息的智能家居系统位置节能路由协议的设计中。利用信息反馈机制和备选节点改进了路由空洞问题的求解。仿真结果表明,该方法可以提高节能路由协议的节能性能。最后搭建智能家居系统实验平台,对系统的整体功能进行验证,并对WiFi网络和ZigBee网络的通信功能进行测试。在分析ZigBee与WiFi网络干扰的基础上,采用频率敏捷算法解决同频干扰问题,从而保证系统性能满足智能家居系统的需求。
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引用次数: 1
Resonant Excitation Analysis of the Absorption Enhancement of L-Shaped Metasurfaces in Midinfrared Band 中红外波段l型超表面吸收增强的共振激发分析
Pub Date : 2022-08-11 DOI: 10.1155/2022/1571023
H. Feng
Surface plasmon waveguides have attracted a lot of attention in recent years due to their ability to conduct light in the subwavelength scale. A large number of metallic structures have been used as waveguides and applied in integrated photonic circuits. Among these structures, the metal-insulator-metal surface plasmon waveguide is considered to have unique advantages. Compared to other waveguide forms, it is more compact and thus easier to integrate into optical circuits. For these reasons, we investigated the transmission properties of surface plasmon waves in metal-insulator-metal waveguides and built a MIM absorber consisting of gold and dielectric. We developed an interference model for the MIM absorber and concluded that the interactions between the metal patch and the substrate are not negligible in the near field. In addition, magnetic resonance plays an equally important role in approaching uniform absorption. Absorption spectra with different structural parameters, incidence angles, and polarizations were investigated. A sharp absorption peak was also found to be caused by the Rayleigh anomaly. The study reported in this paper contributes to further understanding of the physical properties of the MIM absorber, and we expect to refine the theoretical model in the future to eliminate the bias caused by near-field coupling.
近年来,表面等离子体波导由于其在亚波长尺度上的传导能力而引起了人们的广泛关注。大量的金属结构被用作波导并应用于集成光子电路中。在这些结构中,金属-绝缘体-金属表面等离子体波导被认为具有独特的优势。与其他波导形式相比,它更紧凑,因此更容易集成到光学电路中。基于这些原因,我们研究了表面等离子体波在金属-绝缘体-金属波导中的传输特性,并构建了由金和介电介质组成的MIM吸收体。我们开发了MIM吸收器的干涉模型,并得出结论,金属贴片和衬底之间的相互作用在近场中不可忽略。此外,磁共振在接近均匀吸收方面也起着同样重要的作用。研究了不同结构参数、入射角和极化情况下的吸收光谱。瑞利异常也引起了一个尖锐的吸收峰。本文的研究有助于进一步了解MIM吸收器的物理性质,我们希望在未来完善理论模型,以消除近场耦合引起的偏差。
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引用次数: 0
Wearable Sensor and Its Application in Urban Landscape Design 可穿戴传感器及其在城市景观设计中的应用
Pub Date : 2022-08-10 DOI: 10.1155/2022/7265038
Di Yao
In order to meet the needs of people for the environment, physical, and psychological needs and to improve the characteristics of local areas, this paper proposes an urban environment measurement method based on wearable sensors. This method mainly relies on the previous questionnaire and tests the wearable sensor physiological data, subjective feelings, scoring tables, interviews, and other experimental methods in the psychological experimental environment. The recognition rate without adding association features was 93.3%, while the recognition rate of adding association features to individual test set verification reached 94.1%, an increase of about 1%. In this paper, naive Bayes and associated feature classification are used to effectively solve the influence of personal subjective factors and make up for the error of measurement data. The wearable sensor can achieve better results in the application of urban environmental measurement and can also be better applied in urban environmental landscape design, providing more effective data for urban landscape design.
为了满足人们对环境、生理、心理等方面的需求,提高局部地区的特点,本文提出了一种基于可穿戴传感器的城市环境测量方法。该方法主要依靠之前的问卷,在心理实验环境中测试可穿戴传感器的生理数据、主观感受、计分表、访谈等实验方法。未添加关联特征的识别率为93.3%,而单个测试集验证添加关联特征的识别率达到94.1%,提高了约1%。本文采用朴素贝叶斯和关联特征分类,有效地解决了个人主观因素的影响,弥补了测量数据的误差。可穿戴传感器在城市环境测量的应用中可以取得更好的效果,也可以更好的应用在城市环境景观设计中,为城市景观设计提供更有效的数据。
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引用次数: 2
Online English Teaching System Based on Internet of Things Technology 基于物联网技术的在线英语教学系统
Pub Date : 2022-08-10 DOI: 10.1155/2022/7748067
Hui Tao
In order to better improve students’ English performance and adapt to the progress in the age of science and technology faster, the author proposes an online English teaching system method based on Internet of Things technology. The author studies the English SPOC teaching mode and constructs a multimedia teaching system based on the Internet of Things technology, improve the teaching system, and improve and learn the teaching mode, to achieve the improvement of the quality of English teaching. Experimental results show that under the author’s method, students’ scores on both the written and oral exams are about 10 points higher than those in the traditional teaching method. Conclusion. The online English teaching system based on Internet of Things technology can effectively improve students’ English performance and allow students to better control their own progress.
为了更好地提高学生的英语成绩,更快地适应科技时代的进步,笔者提出了一种基于物联网技术的在线英语教学系统方法。笔者研究了英语SPOC教学模式,构建了基于物联网技术的多媒体教学系统,完善教学体系,改进和学习教学模式,实现英语教学质量的提高。实验结果表明,在笔者的教学方法下,学生的笔试和口试成绩都比传统教学方法提高了10分左右。结论。基于物联网技术的在线英语教学系统可以有效地提高学生的英语成绩,让学生更好地控制自己的进步。
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引用次数: 2
Optical Hybrid Network Structure Based on Cloud Computing and Big Data Technology 基于云计算和大数据技术的光混合网络结构
Pub Date : 2022-08-10 DOI: 10.1155/2022/3936876
H. Wei
In order to meet the communication requirements of photoelectric hybrid network architecture, a research based on cloud computing and big data technology is proposed. The main content of this study is based on the analysis of cloud computing and big data technology, through the study of technical characteristics, using topological optical link with bypass data structure and other methods, and finally through experiments and analysis to build the research means of cloud computing and big data technology. The experimental results show that the weights of optical links are 60, 50 and 20, respectively. When the weights of optical links become smaller, node B reaches the paths of the six destination nodes. More paths can be transmitted through optical links, and the size of the range of nearby links can be controlled, which is feasible for the photoelectric hybrid network structure. Conclusion: The research based on cloud computing and big data technology can meet the needs of photoelectric hybrid network structure in communication.
为了满足光电混合网络架构的通信需求,提出了基于云计算和大数据技术的研究。本研究的主要内容是在分析云计算和大数据技术的基础上,通过对技术特点的研究,采用拓扑光链路带旁路数据结构等方法,最后通过实验和分析构建云计算和大数据技术的研究手段。实验结果表明,光链路的权重分别为60、50和20。当光链路权值变小时,节点B到达6个目的节点的路径。通过光链路可以传输更多的路径,并且可以控制附近链路的范围大小,这对于光电混合网络结构是可行的。结论:基于云计算和大数据技术的研究可以满足通信中光电混合网络结构的需求。
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引用次数: 2
Prediction of Transmission Line Icing Using Machine Learning Based on GS-XGBoost 基于GS-XGBoost的传输线结冰机器学习预测
Pub Date : 2022-08-09 DOI: 10.1155/2022/2753583
Yi Ma, Hao Pan, G. Qian, Fangrong Zhou, Yutang Ma, G. Wen, Meng Zhao, Tianyu Li
In recent years, data have shown that transmission line icing is the main problem affecting the operation of power grids in bad weather; it greatly increases operating costs and affects people’s lives. Therefore, the development of a calculation method to predict the risk of ice on transmission lines is of great importance for the stability of the power grid. In this study, we propose a maximum mutual information coefficient (MIC) and grid search optimization extreme gradient boosting (GS-XGBoost) transmission line ice risk prediction method. First, the MICs between the ice thickness and the precipitation, wind speed, wind direction, relative humidity, slope, aspect, and elevation characteristic factors are calculated to filter out the effective features. Second, a grid search method is used to adjust the hyperparameters of XGBoost. The resulting GS-XGBoost model builds a prediction system based on the best parameters using a training set (70% of the data). Finally, the performance of GS-XGBoost is evaluated using a test set (30% of the data). For multiline, cross-regional icing data, our experimental results show that GS-XGBoost outperforms other machine learning methods in terms of accuracy, precision, recall, and F 1 score.
近年来的数据表明,输电线路结冰是恶劣天气下影响电网运行的主要问题;它大大增加了运营成本,影响了人们的生活。因此,建立一种预测输电线路结冰风险的计算方法对电网的稳定具有重要意义。在这项研究中,我们提出了一种最大互信息系数(MIC)和网格搜索优化的极端梯度增强(GS-XGBoost)输电线路结冰风险预测方法。首先,计算冰厚与降水、风速、风向、相对湿度、坡度、坡向、高程等特征因子之间的mic,过滤出有效特征;其次,采用网格搜索方法对XGBoost的超参数进行调整。生成的GS-XGBoost模型使用训练集(70%的数据)基于最佳参数构建预测系统。最后,使用测试集(30%的数据)评估GS-XGBoost的性能。对于多线、跨区域的结冰数据,我们的实验结果表明,GS-XGBoost在准确率、精密度、召回率和f1分数方面优于其他机器学习方法。
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引用次数: 1
Study on Impact Test System of Manipulator Based on Six Axis Force Sensor and Intelligent Controller 基于六轴力传感器和智能控制器的机械手冲击试验系统研究
Pub Date : 2022-08-09 DOI: 10.1155/2022/7869019
Guo Hua, Fei Wang, Jianhui Zhang
With the development and application of intelligent nervous system, intelligent control system represented by machine vision has been promoted and used in various fields, including manipulator control system. Mechanical arm is the main actuator of robot and other mechanical components, but the application environment of mechanical arm is extremely complex, and with the development of industrial process, the sensitivity of technology and operating system for its arbitrary posture operation is also steadily improved. Based on the above problems, this paper designs a manipulator control system based on machine vision theory and orthogonal parallel six-dimensional force sensor to meet the working requirements of manipulator in high-precision environment. Systems hardware are consisted by machine vision structure and six dimensions of force sensor. The practical application effect of the model was verified by collision detection experiment. The relevant research can provide theoretical guidance and practical reference for the research of manipulator control field. Dance and practical application reference for the research of manipulator control field.
随着智能神经系统的发展和应用,以机器视觉为代表的智能控制系统在各个领域得到了推广和应用,包括机械手控制系统。机械臂是机器人等机械部件的主要执行机构,但机械臂的应用环境极其复杂,随着工业进程的发展,其任意姿态操作的技术和操作系统的灵敏度也在稳步提高。针对上述问题,本文设计了一种基于机器视觉理论和正交并联六维力传感器的机械手控制系统,以满足机械手在高精度环境下的工作要求。系统硬件由机器视觉结构和六维力传感器组成。通过碰撞检测实验验证了该模型的实际应用效果。相关研究可为机械手控制领域的研究提供理论指导和实践参考。为舞姿机械手控制领域的研究和实际应用提供参考。
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引用次数: 1
期刊
J. Sensors
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