位置：成果数据库 > 期刊 > 期刊详情页
基于物联网RFID技术的导引系统设计与研究
  • ISSN号：1004-373X
  • 期刊名称：《现代电子技术》
  • 分类：TN876-34[电子电信—信息与通信工程] TH132[机械工程—机械制造及自动化]
  • 作者机构：[1]青岛黄海学院,山东青岛266427
  • 相关基金：基金项目:山东省高等学校科技计划项目(J16LN94);国家自然科学基金资助项目(71171102)
作者： 曾实现[1], 薛蕊[1], 陈江波[1]
关键词： 导引系统, RFID技术, AGV, 电子标签, guidance system, RFID technology, AGV, electronic tag
中文摘要：

为满足现代物料搬运系统的特点，克服传统条形码技术的缺陷，将物联网RFID技术集成于AGV自动导引系统。采用节点导向法，以LPC2210微处理器为控制核心，由RFID系统来完成目标物料信息的存储、读取和数据处理工作，利用RFID标签定位功能增强AGV的自主引导能力，通过设计标签导向系统，实现物料的多目标、超视距识别以及装载、搬运和自动入库的功能，提高系统的灵活性。最后，利用FlexSim模型进行系统仿真，仿真结果证明该系统获取与传输数据速率较快，系统等待时间较短，提高了工作效率和经济效益。

英文摘要：

In order to meet the characteristics of modern material handling system and overcome the shortcomings of traditional barcode technology,the RFID technology of Internet of Things(IoT)is integrated into the AGV automatic guidance system.The RFID system is adopted to accomplish the storage,reading and data processing of the target material information,inwhich the node-oriented method is used,and LPC2210microprocessor is taken as the central control unit.The RFID tag positioning function is utilized to enhance the autonomous guidance capability of AGV.The functions of multi-objective and beyondvisual-range identification,loading and automatic warehousing of materials can be realized and the system flexibility can be improved by means of the tag-oriented system.The FlexSim model is used for system simulation.The results show that the systemhas high efficiency in data acquisition and transmission,and the waiting time of the system is shorter,which improves the workefficiency and economic benefits.

同期刊论文项目
电网安全预警管理中的负荷预测研究及应用
期刊论文 56
同项目期刊论文
Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short
Interval forecasts of a novelty hybrid model for wind speeds
Forecasting daily solar radiation using an optimized hybrid model by cuckoo search algorithm
Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using
Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar rad
Combining forecasts of electricity consumption in China with time-varying weights updated by a high-
Using multi-output feedforward neural network with empirical mode decomposition based signal filteri
Application of residual modification approach in seasonal ARIMA for electricity demand forecasting:
A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan
A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general re
A hybrid model based on data preprocessing for electrical power forecasting
An Experimental Investigation of FNN Model for Wind SpeedForecasting Using EEMD and CS
A novel hybrid model based on artificial neural networks for solar radiation prediction
A combined model based on data pre-analysis and weight coefficientsoptimization for electrical load
A hybrid technique for short-term wind speed prediction
Short term load forecasting technique based on the seasonal exponential adjustment method and the re
Short-term wind speed forecasting based on a hybrid model
Stock index forecasting based on a hybrid model
Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner M
An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind
An innovative integrated model using the singular spectrumanalysis and nonlinear multi-layer percept
Short-term wind speed prediction using empirical wavelet transformand Gaussian process regression
A robust combination approach for short-term wind speed forecastingand analysis e Combination of the
The Combination Forecasting of Electricity Price Based on Price Spikes Processing: A Case Study in S
Comprehensive assessment of wind resources and the low-carbon economy: An empirical study in the Alx
Distributed HS-ARTMAP and its forecasting model for electricity load
The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze Rive
A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Netwo
Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources
The Study and Application of a Novel Hybrid Forecasting Model — A Case Study of Wind Speed Forecasti
Short-term wind speed forecasting using support vector regression optimized by cuckoo optimization a
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, C
Combined forecasting models for wind energy forecasting: A case study in China
A Hybrid Model Based on SmoothTransition Periodic Autoregressive and Elman Artificial Neural Networ
Wind energy potential assessment for the site of Inner Mongolia in China
Prediction of Ozone Concentration in Semi-AridAreas of China Using a Novel Hybrid Model
A hybrid forecasting approach applied to wind speed time series
Performance analysis of four modified approaches for wind speed forecasting
Techniques of applying wavelet de-noising into a combined model for short-term load forecasting
A study on the characteristics, predictions and policies of China’s eight main power grids
Power generation and renewable potential in China
Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities
Short-term load forecasting using a kernel-based support vector regression combination model
A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting
A self-adaptivehybrid approach for wind speed forecasting
Optimization models based on GM (1, 1) and seasonal fluctuation for electricity demand forecasting
Where is the future of China＇s biogas？ Review, forecast,and policy implications
基于NARMA-L2控制器的电力系统稳定性分析
期刊信息
  • 《现代电子技术》
  • 北大核心期刊（2014版）
  • 主管单位:陕西省信息产业厅
  • 主办单位:陕西电子杂志社 陕西省电子技术研究所
  • 主编：张郁（执行）
  • 地址：西安市金花北路176号陕西省电子技术研究所科研生产大楼六层
  • 邮编：710032
  • 邮箱：met@xddz.com.cn
  • 电话：029-93228979
  • 国际标准刊号：ISSN：1004-373X
  • 国内统一刊号：ISSN：61-1224/TN
  • 邮发代号:52-126
  • 获奖情况:
  • 中国科技核心期刊
  • 国内外数据库收录:
  • 波兰哥白尼索引,中国中国科技核心期刊,中国北大核心期刊（2014版）
  • 被引量:37245