Design of manufacturing execution system for assembly plant based on RFID

RFID 作为一种先进的数据采集与识别技术,为制造执行系统(MES)提供方便快捷可靠的数据信息。在充分分析 RFID(射频识别)技术在装配制造车间生产中的技术优势基础上,提出面向典型装配制造企业、基于 RFID 技术的制造执行系统模型,构建了系统体系结构,并完成系统功能设计

Wireless data access management of handheld based on RFID

手持设备基于在工业和移动产品领域得到广泛应用的 Wince.net 操作系统。采用 RFID 射频模块实现标签数据动态采集,OLEDB 数据接口实现 SOL Server CE 的快速数据访问。远程数据访问(RDA)和无线局域网(WiFi)技术支持手持读写器与 SQL Server 服务器之间无线数据同步功能

基于RFID的猪肉产品安全追溯标签设计

提出了基于RFID和EAN/UCC-128相结合的猪肉产品标识与追溯方法。利用RFID射频耳标对生猪养殖过程进行管理,在屠宰与销售阶段采用EAN/UCC-128系统进行条码标识。EAN/UCC-128系统通过链接RFID耳标代码实现生猪个体可追溯。该追溯系统已应用于沈阳李相畜牧养殖基地,对构建统一的、通用的标识与追溯编码做出有益的尝试

A multiplicative maximin-based evaluation approach for evolutionary many-objective optimization

This paper presents a new fitness evaluation approach based on aggregated pairwise comparisons (APC), i.e., a multiplicative maximin fitness ranking indicator with norm-p (M2F-p), for solving multi/many-objective problems. The M2F-p uses an adjustable aggregation of pairwise comparisons induced by p to alleviate the incomparability of solutions in terms of Pareto dominance when the number of objectives increases. We analyze the search ability of M2F-p under different p values. It is shown that the p values can control the shape of contour lines (i.e., a set of equal M2F-p values), which can affect the convergence and uniformity of solutions. Then, we illustrate that the M2F-p offers a set of promising properties that can enhance the discriminability of solutions. Further, we develop an efficient algorithm based on M2F-p by using an adaptive p-selection strategy and a diversity-maintenance mechanism. We conduct experiments on a suit of test problems with up to 10 objectives. The experimental results validate the effectiveness of the proposed algorithm on both multi-objective problems and many-objective problems.</p

基于RFID的猪肉产品安全追溯标签设计

提出了基于RFID和EAN/UCC-128相结合的猪肉产品标识与追溯方法。利用RFID射频耳标对生猪养殖过程进行管理,在屠宰与销售阶段采用EAN/UCC-128系统进行条码标识。EAN/UCC-128系统通过链接RFID耳标代码实现生猪个体可追溯。该追溯系统已应用于沈阳李相畜牧养殖基地,对构建统一的、通用的标识与追溯编码做出有益的尝试

Design of RFID intelligent terminal based on ARM9& Linux

针对目前RFID生产线监控系统实时性差、稳定性低等问题,设计出一种基于ARM9+Linux的智能终端,提高了数据采集和处理的实时性和可靠性。介绍了系统的硬件结构和软件设计,阐述了嵌入式LCD驱动程序的设计、MiniGUI的移植以及图形用户界面的开发

Design and Simulation of Base-band Communication IP Core Based on RFID

分析基于射频识别(RFID)技术的系统基带通信过程,建立RFID基带传输模型,利用FPGA技术实现具有基带编解码、数据收发功能的通信IP核,介绍基于模块化思想的基带通信IP核的RTL设计方法,利用QuartusⅡ与Simulink工具进行系统仿真,仿真实验结果表明,该通信模块是有效的,能够为设计RFID通信系统提供高度集成的基带通信IP核

Handling Constrained Multi-Objective optimization with Objective Space Mapping to Decision Space Based on Extreme Learning Machine

Constrained multi-objective optimization is frequently encountered from the point of view of practical problem solving. The difficulty of constrained multi-objective optimization is how to offer guarantee of finding feasible optimal solutions within a specified number of iterations. To address the issue, this paper proposes an innovative optimization framework with objective space mapping to decision space for constrained multiobjective optimization and a novel multi-objective optimization algorithms are proposed based on this framework. Extreme learning machine implements prediction of decision variables from modified objective values with distance measure and adaptive penalty. This algorithm employs the framework of artificial bee colony to divide this optimization process into two phases: the employed bees and the onlooker bees. In the phase of employed bees, multi-objective strategy employs fast non-dominant sort and crowded distance to push the population toward Pareto front. In the phase of onlooker bees, multi-objective strategy employs Tchebycheff approach to enhance the population diversity. The experimental results on a series of benchmark problems suggest that our proposed algorithm is quite effective, in comparison to other state-of-the-art constrained multi-objective optimizers

Multi-hive bee foraging algorithm for multi-objective optimal power flow considering the cost, loss, and emission

This paper proposes a multi-hive multi-objective bee algorithm (M 2OBA) for optimal power flow (OPF) in power systems. The proposed M2OBA extend original artificial bee colony (ABC) algorithm to multi-objective and cooperative mode by combining external archive, comprehensive learning, greedy selection, crowding distance, and cooperative search strategy. Our algorithm uses the concept of Pareto dominance and comprehensive learning mechanism to determine the flight direction of a bee and maintains nondominated solution vectors in external archive based on greedy selection and crowing distance strategies. With cooperative search approaches, the single population ABC has been extended to interacting multi-hive model by constructing colony-level interaction topology and information exchange strategies. With six mathematical benchmark functions, M2OBA is proved to have significantly better performance than three successful multi-objective optimizers, namely the fast non-dominated sorting genetic algorithm (NSGA-II), the multi-objective particle swarm optimizer (MOPSO), and the multi-objective ABC (MOABC), for solving complex multi-objective optimization problems. M2OBA is then used for solving the real-world OPF problem that considers the cost, loss, and emission impacts as the objective functions. The 30-bus IEEE test system is presented to illustrate the application of the proposed algorithm. The simulation results, which are also compared to NSGA-II, MOPSO, and MOABC, are presented to illustrate the effectiveness and robustness of the proposed method. &copy; 2014 Elsevier Ltd. All rights reserved

Industry intelligent terminal based on RFID data acquisition function

本实用新型涉及一种基于RFID数据采集功能的工业智能终端,包括:控制单元,提供交互界面显示接口、输入输出接口;射频数据采集单元,集成RFID读写控制模块,前端输入为射频前端电路,输出端与控制单元的总线接口相连;存储单元,包括闪存、SDRAM以及外扩存储卡,通过数据线接至控制单元;网络传输单元,具有以太网接口及CAN总线接口,通过网络切换电路切换实现控制单元与监控终端的通讯连接;显示单元,与控制单元的显示数据输出端相连,显示用户界面;电源管理单元,为其他电单元提供多等级的稳定电压,受控于控制单元内部的电源管理软件。本实用新型增强了系统处理复杂事件的能力,功能多,兼容性强