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The Framework of Intelligent Factory 智能工厂的框架
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34191
Qingtang Yuan, Dan-li Wen, Zhi-xun Chen
Based on the current situation of the automation and management of the on-site equipment , and according to the actual situation of a domestic enterprise, the "Intelligent Factory" architecture is designed with the integration of people, machines and things in the factory, and the goal of the "improve efficiency, reduce personnel, stabilize production, and improve quality" is realized.
根据现场设备自动化和管理的现状,根据国内某企业的实际情况,设计了工厂中人、机、物一体化的“智能工厂”架构,实现了“提高效率、减少人员、稳定生产、提高质量”的目标。
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引用次数: 0
Design of Mobile Phone Sales Decision Support System for College Students 大学生手机销售决策支持系统的设计
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34215
Kuo Du, Qirui Sun, Shan-shan Zhang, Xiao-jia Wang
It has been 30 years since the first mobile phone entered Chinese market in 1989. As it has changed from "luxury" of a few people to common consumer goods with high popularity, market competition of mobile phone sales industry is becoming increasingly fierce. College students have formed a special consumer group due to their unformed sales habits and great plasticity. They have limited consumption ability but pursue new things. Their consumption status is quite different, which is of great research value. Therefore, this study designs a marketing decision support system for college students. Starting from the mobile sales management business and combining with the decision support system, this study deeply studied the key technologies and implementation approaches of the mobile sales decision support system, including data mining, data warehouse technology and model library to help enterprises better seize the student market and gain competitive advantages.
自1989年第一部手机进入中国市场以来,已经过去了30年。随着手机从少数人的“奢侈品”变成大众化的普通消费品,手机销售行业的市场竞争日趋激烈。大学生由于其未形成的销售习惯和很大的可塑性,已经形成了一个特殊的消费群体。他们的消费能力有限,但追求新鲜事物。它们的消费状况差异很大,具有重要的研究价值。因此,本研究设计了一个大学生营销决策支持系统。本研究从移动销售管理业务出发,结合决策支持系统,深入研究了移动销售决策支持系统的关键技术和实现方法,包括数据挖掘、数据仓库技术和模型库,以帮助企业更好地抢占学生市场,获得竞争优势。
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引用次数: 0
An Improved Multi-objective Evolutionary Algorithm Based on Gaussian Distribution Estimation 基于高斯分布估计的改进多目标进化算法
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34208
Liyang Hou, Xiaoyan Li, Yanrong Li, Wenping Kong, Hai-feng Chang
When an emergency occurs, how to specify a reasonable resource scheduling scheme significantly affects disaster relief efficiency. However, most actual existing schemes lack considering satisfaction of potential disaster sites, and lack a scheduling model with 3 or more optimization goals, which makes it difficult to apply to complex scenarios. In this paper, we propose a four-objective resource scheduling optimization model that additionally considers potential disaster sites satisfaction. And we have designed an improved NSGA-III-GD algorithm to optimize this model. First, we introduce NSGA-III, an algorithm that has a great advantage in multi-objective optimization problems. And more importantly, we use Gaussian estimation distribution instead of traditional cross mutation operators to extract the overall characteristics of the population, which improves the search accuracy of the optimal solution and greatly improves the convergence speed. The experimental results clearly show that the algorithm proposed in this paper has achieved very good performance.
当发生紧急情况时,如何制定合理的资源调度方案对救灾效率有很大影响。然而,实际存在的方案大多缺乏对潜在灾难站点的满足考虑,缺乏具有3个或更多优化目标的调度模型,难以适用于复杂的场景。本文提出了一种考虑潜在灾害站点满意度的四目标资源调度优化模型。并设计了改进的NSGA-III-GD算法对该模型进行优化。首先,我们介绍了在多目标优化问题中具有很大优势的NSGA-III算法。更重要的是,我们使用高斯估计分布代替传统的交叉变异算子提取种群的总体特征,提高了最优解的搜索精度,大大提高了收敛速度。实验结果清楚地表明,本文提出的算法取得了很好的性能。
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引用次数: 0
Real-Time S-T Analysis Method Based on Speaker Recognition 基于说话人识别的实时S-T分析方法
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34199
Gui-lin Liu, Zengming Chen, Chen Rong
With the continuous deepening of curriculum reform, teaching evaluation has become an important part of investigating the effectiveness of classroom teaching. This study improved the original S-T analysis method with speaker recognition technology that tracks the speaker's identity in class speech in real time. Combining the theoretical research of information technology-driven intelligent evaluation of classroom teaching, 6 lessons were selected as samples, and the original S-T analysis method and real-time S-T method were used for comparative study, which verified the effectiveness of the proposed real-time S-T analysis method.
随着课程改革的不断深入,教学评价已成为考察课堂教学效果的重要组成部分。本研究利用说话人识别技术对原有的S-T分析方法进行改进,实时跟踪课堂讲话中说话人的身份。结合信息技术驱动的课堂教学智能评价理论研究,选取6节课作为样本,采用原始S-T分析法和实时S-T分析法进行对比研究,验证了所提出的实时S-T分析法的有效性。
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引用次数: 1
Active Load Reduction Control of Floating Wind Turbine Based on Double Damper 基于双阻尼器的浮式风力发电机组主动减载控制
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34179
Zhuoyuan Deng, Lei Wang, Li-ping Deng
Due to the lack of rigid support structure of floating wind turbine (WT) at sea, the external load affected by wind-wave-flow coupling is much larger than that of fixed-pile WT. How to make the floating WT safe, reliable and stable operation has become a research hotspot in the current far-reaching sea breeze energy utilization. In order to reduce the load of offshore floating WT subjected to external environment during operation, this paper studies a double damper load reduction structure with confined mass dampers installed in the nacelle and floating platform. Active control method to reduce the load of floating WT at sea. Through the simulation verification analysis of NREL 5MW wind turbine, it is found that the load impact and output power stability are effectively improved, which provides a useful method for the development of deep sea wind power resources in China.
海上浮式风力发电机组由于缺乏刚性支撑结构,受风波流耦合影响的外载荷远大于固定桩式风力发电机组,如何使浮式风力发电机组安全、可靠、稳定运行成为当前影响深远的海风能利用的研究热点。为了减轻海上浮式WT在运行过程中受到外界环境的载荷,本文研究了一种双阻尼器减载结构,该结构在吊舱和浮式平台上安装了约束质量阻尼器。减小海上浮式小波船载荷的主动控制方法。通过对NREL 5MW风力机的仿真验证分析,发现该方法有效地改善了负荷冲击和输出功率稳定性,为中国深海风电资源的开发提供了有益的方法。
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引用次数: 0
Building Energy Consumption Data Detecting and Recovering Using Bayesian Method 基于贝叶斯方法的建筑能耗数据检测与恢复
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34211
Jun-qi Yu, Ying Tian, Anjun Zhao, Yun-Fei Xie, Xinhua Huang, Hui Leilei
Building energy consumption data plays an important role in building energy analysis and energy saving optimization. However, due to difficulties in collecting, high cost, equipment failure and other reasons, the collected data are prone to be missing, which hinders the mining and analysis of building energy consumption data. In this paper, the Bayesian network is used to check and recover the building energy consumption data. In the case that the amount of time series data missing is less than 50%, the method G-test is selected to identify abnormal data, and the Naive Bayesian optimizing Expected Maximum Algorithm is used to check the data. When a large number of building energy consumption data missing, the Sparse Bayesian learning algorithm is used to fill in the missing data based on the compressed sensing theory. The results show that the model can effectively deal with the problem of missing data of building energy consumption and can be widely used in practical projects.
建筑能耗数据在建筑能耗分析和节能优化中发挥着重要作用。然而,由于采集难度大、成本高、设备故障等原因,采集到的数据容易出现缺失,阻碍了建筑能耗数据的挖掘和分析。本文采用贝叶斯网络对建筑能耗数据进行校核和回收。在时间序列数据缺失量小于50%的情况下,选择G-test方法识别异常数据,使用朴素贝叶斯优化期望最大值算法对数据进行校验。当大量建筑能耗数据缺失时,采用基于压缩感知理论的稀疏贝叶斯学习算法对缺失数据进行填充。结果表明,该模型能有效处理建筑能耗数据缺失问题,可在实际工程中广泛应用。
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引用次数: 0
A Modulation Method with Unfixed Switching Frequency Based on Output Power for Wind Power Converter 风电变流器基于输出功率的不固定开关频率调制方法
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34183
Jing Huang, Gang Zhang, Wei-jun Pan
The wind turbine power system is being widely used and heavily connected to the utility grid, and the total harmonic distortion (THD) is one of the major evaluation indicators of electric power quality. The characteristics of the grid-connected wind converter harmonic with variable power loading are analyzed in this paper, and a software method of the variable switching frequency based on the output power of wind power converter is investigated to improve the grid-connecting harmonic considering the widely power loading. The method is verified on a three-level Neutral-Point-Clamped converter with Sinusoidal Pulse Width Modulation through simulations at last. And the results show that the THD is improved clearly and meanwhile the power loss and junction temperature are improved.
风力发电系统被广泛应用并大量接入电网,总谐波失真(THD)是电力质量的主要评价指标之一。分析了变功率负荷下并网风电变流器谐波特性,研究了一种基于风电变流器输出功率的变开关频率的软件方法,在考虑大功率负荷的情况下改善并网谐波。最后在三电平中点箝位正弦脉宽调制变换器上进行了仿真验证。结果表明,该方法明显改善了THD,同时提高了功耗和结温。
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引用次数: 0
The Experiment of COMMONS Game and the Environmental Education 公共资源游戏实验与环境教育
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34216
Masashi Kawaguchi, N. Baba
Gaming has been recognized as a new method of solving problems. It is widely known as a method of solving problems which is to solve by simulation. We conducted the COMMONS game and reported its environmental educational effect. The COMMONS game is one method to environmental education using five kinds of cards and environmental state. In the experiment, seven groups of 42 students would attend the game, one group consisting of six players. A good solution was obtained. Additionally, students learned Improvement of environmental conditions and not pursue only their benefits. We realized that this experiment resulted in a desirable educational effect. In addition, we evaluated the results of the COMMONS game.
游戏已被公认为解决问题的一种新方法。它被广泛认为是一种通过模拟来解决问题的方法。我们进行了COMMONS游戏,并报告了其环境教育效果。COMMONS游戏是利用五种纸牌和环境状态进行环境教育的一种方法。在实验中,7组42名学生将参加游戏,一组由6名球员组成。得到了较好的解决方案。此外,学生们学会了改善环境条件,而不仅仅是追求他们的利益。我们意识到这个实验产生了良好的教育效果。此外,我们还评估了COMMONS博弈的结果。
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引用次数: 0
Aero-engine Health Monitoring Method Based on E-Bayes and DNN Fusion Decision 基于E-Bayes和DNN融合决策的航空发动机健康监测方法
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34193
Yongbo Li, Mian-zai Lv, Huawei Wang, Qiang Fu
As a complex system, aero-engine running condition affects flight safety, so aero-engine health monitoring is necessary. We proposed an aero-engine health monitoring method based on E-Bayes method and deep neural network (DNN). Firstly, based on the fleet operation records, E-Bayes was used to calculate the reliability of aero-engine operation. Secondly, we constructed the DNN network base on the parameters collected by sensors and reliability parameter, fused the DNN results under different parameters according to the characteristics of different health condition of the aero-engine, and finally the fusion decision model based on the E-Bayes method and DNN was realized. We trained and verified the network with 9616 aero-engine running data samples contaminated by noise. The average accuracy was 96.15%, which shows that this method has good robustness.
航空发动机是一个复杂的系统,其运行状态直接影响飞行安全,因此对其进行健康监测是十分必要的。提出了一种基于E-Bayes方法和深度神经网络(DNN)的航空发动机健康监测方法。首先,基于机队运行记录,采用E-Bayes方法计算航空发动机运行可靠性;其次,基于传感器采集的参数和可靠性参数构建深度神经网络,根据航空发动机不同健康状态的特点,对不同参数下的深度神经网络结果进行融合,最终实现基于E-Bayes方法和深度神经网络的融合决策模型。用9616个受噪声污染的航空发动机运行数据样本对网络进行了训练和验证。平均准确率为96.15%,表明该方法具有较好的鲁棒性。
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引用次数: 1
Trajectory Planning of Transformer Cleaning System Based on IRB4600 Robotic Arm 基于IRB4600机械臂的变压器清洗系统轨迹规划
Pub Date : 2020-05-02 DOI: 10.12783/dtetr/acaai2020/34181
Yong-qiang Li, Wei-cai Liu, Zhi-Fei Zhang
Clean with power for oil-immersed transformer by robotic arm is investigated. We establish kinematic model of IRB4600 Robotic Arm, coordinate transfer is analyzed. Space near inline and outline of transformer is treated as obstacle, surface to be sprayed is departed into several areas, and RRT algorithm is modified in form of point to multi-points to search optimal path for cleansing. Simulation and test by virtual robot platform show that scheme proposed in this paper is valid.
研究了机械臂对油浸式变压器的动力清洗。建立了IRB4600机械臂的运动学模型,对其坐标传递进行了分析。将变压器内线和轮廓附近的空间作为障碍物,将待喷面划分为若干区域,将RRT算法改进为点到多点的形式,搜索最优路径进行清洗。通过虚拟机器人平台的仿真和测试,验证了该方案的有效性。
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引用次数: 0
期刊
DEStech Transactions on Engineering and Technology Research
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