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A unified modeling method of product demand and manufacturing capability in the textile industry Internet 纺织工业互联网中产品需求与制造能力统一建模方法
Guodong Wang, Guohua Liu
Through the analysis of multiple cloud manufacturing models, we discussed the definition of the current textile industry Internet manufacturing model, and proposed the concept of the textile industry knowledge graph for the standardized expression and sharing of demand and manufacturing resources under the textile industry Internet manufacturing model; A unified modeling and packaging method for manufacturing requirements and manufacturing capabilities based on knowledge graph technology with standard process flow as the interface is proposed.
通过对多种云制造模式的分析,探讨了当前纺织行业互联网制造模式的定义,并针对纺织行业互联网制造模式下需求和制造资源的标准化表达与共享,提出了纺织行业知识图谱的概念;提出了一种基于知识图技术、以标准工艺流程为接口的制造需求和制造能力的统一建模与封装方法。
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引用次数: 0
Experimental study on simulated denitrification of ship exhaust gas with NaClO2/Mg(OH)2 seawater solution NaClO2/Mg(OH)2海水溶液对船舶废气模拟反硝化的实验研究
Yulei Lu, Xiwu Gong
In order to study the denitrification effect of NaClO2/Mg(OH)2 seawater solution, the wet oxidation denitrification experiment was carried out by circulating spray. The experiment compared the denitrification time of NaClO2 water solution, NaClO2 seawater solution and NaClO2/Mg(OH)2 seawater solution; at the same time, studied the influence of different NaClO2 concentration, spray solution temperature and NO concentration in flue gas on the denitrification effect of NaClO2/Mg(OH)2 seawater solution. The experimental results showed that during the cyclic spraying process, the NO removal rate of NaClO2 water solution, NaClO2 seawater solution, and NaClO2/Mg(OH)2 seawater solution could reach 100%, and the time to completely remove NO was 68, 85 and 91 minutes, respectively. The NaClO2/Mg(OH)2 seawater solution could keep the pH value above 8 under the action of Hydroxide ion and the acid-base buffering capacity of seawater. Under alkaline conditions, it effectively inhibited the decomposition of NaClO2 in the solution to produce ClO2 gas, and inhibiting the escape of ClO2 was the main reason for increasing the time for NaClO2 to remove NO. The removal rate of NO increased with the increase of the concentration of NaClO2 and the temperature of the spray solution, and decreased with the increase of the NO concentration in the flue gas; however, the denitrification time decreased with the increase of the temperature of the spray solution.
为了研究NaClO2/Mg(OH)2海水溶液的反硝化效果,采用循环喷雾法进行了湿式氧化反硝化实验。实验比较了NaClO2水溶液、NaClO2海水溶液和NaClO2/Mg(OH)2海水溶液的脱氮时间;同时,研究了不同NaClO2浓度、喷雾溶液温度和烟气NO浓度对NaClO2/Mg(OH)2海水溶液脱氮效果的影响。实验结果表明,在循环喷涂过程中,NaClO2水溶液、NaClO2海水溶液和NaClO2/Mg(OH)2海水溶液的NO去除率可达100%,完全去除NO的时间分别为68、85和91 min。NaClO2/Mg(OH)2海水溶液在氢氧根离子和海水的酸碱缓冲能力的作用下,能使pH值保持在8以上。在碱性条件下,能有效抑制溶液中NaClO2的分解生成ClO2气体,抑制ClO2的逸出是提高NaClO2去除NO时间的主要原因。NO去除率随NaClO2浓度和喷雾溶液温度的升高而升高,随烟气中NO浓度的升高而降低;随着喷淋液温度的升高,脱氮时间缩短。
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引用次数: 0
Load Analysis and Research of Planetary Roller Screw considering Tooth Angle error 考虑齿角误差的行星滚子螺杆载荷分析与研究
Wenbo Wu, Yuanxun Fan
in order to study the influence of error on the performance of planetary roller screw, the tooth profile angle error which has great influence on axial clearance is selected as the research object, and the spiral surface equation of each part is established according to the principle of spatial meshing. based on Hertz contact theory, elastic-plastic deformation theory and deformation coordination principle, the load distribution model of planetary roller screw considering tooth angle error is obtained. The load distribution before and after considering the tooth profile angle error is analyzed by ABAQUS. The results show that the tooth profile angle error will affect the axial clearance of the planetary roller screw pair and increase the non-uniformity of the load distribution of the whole system, but the trend of load distribution at both ends of the roller is not affected. This study provides a basis for the application of planetary roller screw in engineering practice.
为了研究误差对行星滚子螺杆性能的影响,选择对轴向间隙影响较大的齿形角误差作为研究对象,根据空间啮合原理建立了各零件的螺旋面方程。基于赫兹接触理论、弹塑性变形理论和变形协调原理,建立了考虑齿角误差的行星滚子螺杆载荷分布模型。利用ABAQUS软件对考虑齿形角误差前后的载荷分布进行了分析。结果表明:齿形角误差会影响行星滚子丝杠副的轴向间隙,增加整个系统负载分布的不均匀性,但不影响滚子两端负载分布的趋势;该研究为行星滚柱螺杆在工程实践中的应用提供了依据。
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引用次数: 0
Research on Space Situational Knowledge Acquisition Framework for Multi-source Heterogeneous Information 面向多源异构信息的空间态势知识获取框架研究
Yining Song, Zhanyue Zhang
The integration and application of existing spatial situation information lacks systematicness and compatibility. Therefore, this paper mainly focuses on how to build a comprehensive framework for space situational knowledge acquisition to solve the above problems. Firstly, the data or information collected from various heterogeneous multi-source information sources are sorted out. Then, the iterative clustering method is used to aggregate the multi-source data to obtain the information addition, and the overall knowledge achievement of spatial situation is generated through comprehensive integration. This is the previous knowledge acquisition method that only obtains spatial target data at different levels and principles for a single sensor, laying a foundation for the subsequent application of spatial situation knowledge.
现有空间态势信息的整合与应用缺乏系统性和兼容性。因此,本文主要研究如何构建空间态势知识获取的综合框架来解决上述问题。首先,对从各种异构多源信息源收集到的数据或信息进行整理。然后,采用迭代聚类方法对多源数据进行聚类,获得信息相加,通过综合集成生成空间态势的整体知识成果。这是以往仅获取单个传感器不同层次、不同原理的空间目标数据的知识获取方法,为后续空间态势知识的应用奠定了基础。
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引用次数: 0
Blockchain based Federated Learning for Object Detection 基于区块链的目标检测联邦学习
Yingjun Ge, Jiting Zhou
Object detection based on deep learning needs to collect and centralize a large amount of training data from multiple parties, which leads to data privacy problems. Federated learning has become an effective way to conduct deep learning when training data are distributed. However, traditional federated learning still faces the challenge of security and data heterogeneity. Specifically, the central server will introduce a single point of failure. Malicious clients and statistical heterogeneity of data will affect the performance of the model. To solve the above problems, this paper proposes FedDetectionBC, a federated learning framework for object detection model training, which takes advantage of blockchain to ensure the robustness and auditability of federated learning. To deal with data heterogeneity, a new algorithm (Exchange-FedAvg) is also proposed. Experimental results that FedDetectionBC is more robust than traditional federated learning when there exist malicious clients in the system. The proposed Exchanged-FedAvg can achieve higher accuracy with fewer communication rounds in non-IID settings.
基于深度学习的目标检测需要收集和集中来自多方的大量训练数据,这就导致了数据隐私问题。在训练数据分布的情况下,联邦学习已经成为进行深度学习的有效方法。然而,传统的联邦学习仍然面临着安全性和数据异构性的挑战。具体来说,中央服务器将引入单点故障。恶意客户端和数据的统计异质性会影响模型的性能。针对上述问题,本文提出了FedDetectionBC,一种用于目标检测模型训练的联邦学习框架,该框架利用区块链来保证联邦学习的鲁棒性和可审计性。为了解决数据异构问题,本文还提出了一种新的算法exchange - fedag。实验结果表明,当系统中存在恶意客户端时,FedDetectionBC比传统的联邦学习具有更强的鲁棒性。所提出的exchange - fedag可以在非iid设置中以更少的通信轮数实现更高的精度。
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引用次数: 0
Detection and Removal of Visible Watermarks Combined with Perceptual Attention 结合感知注意的可见水印检测与去除
Ming-Sze Chen, Liang Li
In view of the diversity of visible watermarks and the high cost of human intervention in the process of removing visible watermarks, a method of removing visible watermarks including detection and removal was proposed. Watermarking detection based on YOLO V3 model adopts model fusion method and improves the loss function to improve the generalization of watermarking detection. Based on Generative Adversarial Nets (GAN), the structure similarity is introduced into the loss function by combining perceptual attention mechanism. The network generates images prior to repair images by learning regions other than the watermark. Experimental results show that the proposed method can improve the objective evaluation indexes such as peak signal to noise ratio (PSNR) and structural similarity.
针对可见水印的多样性以及在去除可见水印过程中人为干预成本高的问题,提出了一种包括检测和去除两部分的去除可见水印的方法。基于YOLO V3模型的水印检测采用了模型融合方法,并改进了损失函数,提高了水印检测的泛化程度。在生成式对抗网络(GAN)的基础上,结合感知注意机制,将结构相似度引入损失函数。该网络通过学习水印以外的区域,在修复图像之前生成图像。实验结果表明,该方法可以提高峰值信噪比(PSNR)和结构相似度等客观评价指标。
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引用次数: 0
Structural design of cucumber picking manipulator 黄瓜采摘机械手的结构设计
Weiyun Meng, Changhu Wang, Lei Qin, Jianxiang Wang
In agricultural production, the harvest of fruit and vegetable is the most time-consuming and laborious link, which is basically completed manually. By the shortage of the fruit and vegetable picking manipulators both at home and abroad. According to the basic process and work requirements of cucumber collection, a cucumber picking manipulator with four degrees of freedom is proposed. the hardware part of the mechanical arm is composed of a base, large and small arms and end-effectors, which can realize the movement of rotation, grasping and placement. As a stable part of the picking machine, the base is rigidly connected with the structural support frame, which mainly plays the role of providing power for the mechanical picking arm and supporting the mechanical rotation. Each joint is controlled by a motor and steering gear, which has the advantages of flexible action, stable operation and good effect. It will not only play an important role in agricultural development, but also be the inevitable trend of agricultural development in the future.
在农业生产中,果蔬的收获是最耗时、最费力的环节,基本都是人工完成的。由于国内外果蔬采摘机械手的短缺。根据黄瓜采摘的基本流程和工作要求,提出了一种四自由度黄瓜采摘机械手。机械臂的硬件部分由底座、大、小臂和末端执行器组成,可实现旋转、抓取和放置等运动。底座作为采摘机的稳定部件,与结构支撑架刚性连接,主要起到为机械采摘臂提供动力,支撑机械转动的作用。各关节由电机和舵机控制,具有动作灵活、运行平稳、效果好等优点。它不仅将在农业发展中发挥重要作用,而且是未来农业发展的必然趋势。
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引用次数: 0
Design and simulation of an upper limb rehabilitation exoskeleton robot 上肢康复外骨骼机器人的设计与仿真
Haoran Hou, Zhouhao Jiang
This project aims to accelerate the upper limb rehabilitation speed for hemiplegia and disability caused by stroke and other diseases and designs an arm-assisted rehabilitation exoskeleton robot. According to the standard size of the human upper limb, the 3D model of the upper limb exoskeleton robot was designed in SolidWorks, and the DH parameters and kinematics equations of the robot were derived. By studying the arm posture of human upper limb movement, the state and data of each joint in the upper limb movement were analyzed. It was carried out in MATLAB to simulate the structure of the rehabilitation manipulator, analyze the motion trajectory planning, and verify the rationality of the robot's joint movement. This paper combines the 3D model and the MATLAB simulation, the upper limb rehabilitation of the exoskeleton robot arm, lower arm, shoulder, elbow, and wrist joints working space, the kinematics, and the arm in various trajectory planning of posture were solved. It provides a theoretical basis and flexibility for improving the accuracy of upper limb rehabilitation.
本项目旨在加快因中风等疾病导致的偏瘫和残疾的上肢康复速度,设计一种手臂辅助康复外骨骼机器人。根据人体上肢的标准尺寸,在SolidWorks中设计了上肢外骨骼机器人的三维模型,推导了机器人的DH参数和运动学方程。通过研究人体上肢运动的手臂姿态,分析上肢运动中各个关节的状态和数据。在MATLAB中对康复机械手的结构进行仿真,分析其运动轨迹规划,验证机器人关节运动的合理性。本文结合三维模型和MATLAB仿真,求解了上肢康复外骨骼机器人手臂、下臂、肩关节、肘关节和腕关节的工作空间、运动学,以及手臂在各种轨迹规划中的姿态。为提高上肢康复的准确性提供了理论依据和灵活性。
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引用次数: 0
CRCTTS: Convolution-Recurrent-Convolution Text-to-Speech System 卷积-递归-卷积文本-语音系统
Kuo Chen, Xuebin Sun
End-to-end speech synthesis technology has already replaced the positions of Statistical Parametric Speech Synthesis (SPSS) in text-to-speech (TTS) field. The end-to-end model based on neural network, does not require a lot of domain knowledge but synthesize more natural speeches. Tacotron is the first model that can synthesize speeches which even human is hard to distinguish. We propose a new end-to-end speech synthesis system which is called Convolution-Recurrent-Convolution Text-to-Speech (CRCTTS). We chose Tacotron as our baseline model and adjust the architecture through fully Convolution Neural Network (CNN) module and Dynamic Convolution Attention (DCA). Besides, we also introduce the attention guided mechanism to our model for accelerating the attention alignment in the decoder module. The model we proposed has been proved that can synthesis speech with better quality and cost less time in terms of training stage and synthesis stage than the baseline model with these technologies.
端到端语音合成技术已经取代了统计参数语音合成(SPSS)在文本到语音(TTS)领域的地位。基于神经网络的端到端模型,不需要大量的领域知识,可以合成更多的自然语音。Tacotron是第一个能够合成连人类都难以分辨的语音的机器人。我们提出了一种新的端到端语音合成系统,称为卷积-递归-卷积文本到语音(CRCTTS)。我们选择Tacotron作为我们的基线模型,并通过全卷积神经网络(CNN)模块和动态卷积注意力(DCA)来调整架构。此外,我们还在模型中引入了注意引导机制,以加速解码器模块的注意对齐。我们提出的模型在训练阶段和合成阶段都比基线模型具有更好的合成质量和更少的合成时间。
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引用次数: 0
Design of online machining and monitoring management system based on FANUC machine tools 基于FANUC机床的在线加工与监控管理系统的设计
Tianhao Jiang, Ganghua Wu
With the introduction of German Industry 4.0 and Made in China 2025, industrial intelligence and industrial informatization have gradually become the frontier trend of the development of the manufacturing industry. FANUC machine tools as the mainstream machining equipment in the manufacturing industry, their intelligence and information are essential to the transformation of enterprises and the development of manufacturing industries. At present, as the shape of mechanical parts becomes more and more complex, the storage space of machine tool can no longer satisfy the storage of NC program codes generated by complex parts. In addition to this, most companies also lack advanced digital information exchange technology and cannot grasp the specific status of workshop equipment in real time. In order to solve above problems, we use C# programming language to design online machining and monitoring management system, which is based on the RS-232 serial port and Ethernet network port of FANUC machine tools. Finally, we conduct field tests and the designed system runs steady and adequate the actual requirement.
随着德国工业4.0和中国制造2025的推出,工业智能化和工业信息化逐渐成为制造业发展的前沿趋势。发那科机床作为制造业的主流加工装备,其智能化、信息化对企业转型和制造业发展至关重要。目前,随着机械零件形状的日益复杂,机床的存储空间已不能满足复杂零件生成的数控程序代码的存储。除此之外,大多数企业还缺乏先进的数字化信息交换技术,无法实时掌握车间设备的具体状态。为了解决上述问题,我们使用c#编程语言设计了基于发那科机床RS-232串口和以太网网口的在线加工与监控管理系统。最后进行了现场测试,系统运行稳定,满足实际要求。
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引用次数: 0
期刊
Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
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