RFID Middleware Research Articles

Traceability method of industrial product logistics information based on RFID middleware

Traceability method of industrial product logistics information based on RFID middleware

Traceability method of industrial product logistics information based on RFID middleware

Traceability method of industrial product logistics information based on RFID middleware

Simulation and Modeling Algorithm for Terminal Container Handling Intelligent Management Based on Internet of Things and Big Data Technology

In order to improve the effect of intelligent terminal container management, this paper improves the Internet of Things and big data technology, analyzes the RFID middleware architecture based on the actual needs of container handling management, and proposes a new method of RFID middleware load balancing. Moreover, this paper combines the Internet of Things technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system. After constructing a terminal container handling intelligent management system based on the Internet of Things and big data technology, the performance of the system is verified, and multiple sets of simulation data are used to conduct research. The experimental research results show that the terminal container handling management system based on the Internet of Things and big data constructed in this paper basically meets the actual needs of use.

A New Compact Metal Mountable Dual-Band UHF RFID Tag Antenna With an Adapted Middleware for Transport and SCM Fields

Today, RFID, "Radio Frequency Identification", is a key technology for tracking assets in real-time. It has become one of the areas for improvement in several applications. An RFID system consists of three parts: RFID Tags, RFID Readers, and RFID Middleware. This study aims to improve the advantages of RFID applications as an applied technology in several fields, first, by modeling and designing a metal mountable tag antenna that is applied to cover two major UHF RFID bands, i.e., European (865-867 MHz) and U.S. bands (902-928 MHz), secondly, by setting out the RFID Middleware main tasks and suggesting a new RBAC & NoSQL-Based RFID Middleware architecture as a solution to manage the accessibility to RFID data, thus rendering the authentication process much more efficient. The proposed tag antenna configuration utilizes microstrip configuration with open bent stub feed network in order to attain conjugate matching w.r.t. Monza R6 chip impedance. The proposed microstrip patch-based tag antenna structure is simple and does not require any shorting pin/holes, making it easy and inexpensive to manufacture. Additionally, the proposed tag's impedance can be easily tuned in order to achieve conjugate matching concerning employed chip impedance. The proposed tag antenna is fabricated and experimentally characterized to measure its read range performance in the desired bands. The Proposed Middleware Platform architecture combines RFID technology with MongoDB to monitor and process a large number of inbound RFID events generated by RFID tags in order to provide high volume real-time data flow processing and better interoperability through the data presented in JSON format.

Implementation of RFID Middleware Based on Client-Multiserver Architecture for Traceability of Autoparts

The implementation of RFID systems allows automation of information flow along the production chains. This is a desirable condition for increasing efficiency, productivity and management, and it simplifies other activities such as traceability records along these supply and production chains, especially in the automobile assembly supply chain as in the case of Renault-SOFASA-Colombia, where the traceability of automotive parts is realized manually by means of mobile terminals, which is time consuming and laborious, with low automotive parts rate and high error rate. In this work, a RFID solution for the traceability of automotive parts in real time in Renault-SOFASA-Colombia is implemented, where a middleware under client-multiserver architecture for Siemens readers is developed. The terminal, where the middleware is located, behaves like a client and links to several RFID readers which behave like servers, forming a star type network topology. This architecture allows a cost reduction in the implementation and operation of RFID solutions by reducing hardware acquisition and energy consumption, being an alternative that can compete with the solution provided by a manufacturer as Siemens without neglecting the robustness and the proper functioning of the system. Moreover, the proposed solution concentrates all the maintenance efforts of the system at a single point, which is due to the fact that a terminal attends all RFID portals. The tests performed, where the transport carts with the automotive parts and their respective RFID tags are passed through the RFID portals of the assembly plant, are in agreement with the results reported by the developed middleware.

RFID-based bonded warehouse for Science Park

The paper proposes an RFID management information system that integrates two common topics including inventory workflow management and warehouse management for bonded warehouse. The main core of this research focused on the boxes and pallets management for the bonded warehouse of Hsinchu Science Park in Taiwan. The entire management mechanism covered the semiconductor parts stored in bonded warehouse, inventory management on bonded warehouse and semiconductor parts delivered from bonded warehouse. Based on the cooperation among RFID tags, RFID readers and RFID middleware, the tags information attached on each box and each pallet would be passed to the backend warehouse management information system to achieve the tracing purpose. The result showed that the integrated RFID technology and management with the workflow of bonded warehouse would reduce the time of standardised inventory workflow and improve the efficiency of checking process, and that could also help the bonded inventory to be controlled much more precisely. The enterprises could thus save more labour costs and make the information transmission more transparent between customers and semiconductor companies.

Smart Solutions for RFID based Inventory Management Systems: A Survey

This article is a survey of the latest technologies, algorithms and state of the art localization techniques that can be used to serve as Internet of Things communication protocol by automating an RFID system. There is a lack of a reliable and up-to-date reference that can help inventory management systems developers and operators to enhance the management system efficiency, maximize the productivity, and minimize the material loss. Several low cost IoT devices and associated technologies, such as Radio Frequency Identification system, are widely used today in several applications, including educational, transportation, animal tracking, inventory object tracking, and so many others. In this paper, we present a survey of the state-of-the-art technologies, algorithms, and techniques used in smart Radio Frequency Identification systems based inventory systems. We first outline the design challenges for RFID-based inventory management systems followed by a comprehensive survey of various RFID technologies, RFID types, and RFID architectures. In addition, the latest researches in the RFID infrastructure and middlewares are evaluated. This includes passive RFID Tags, RFID Antennas, RFID middleware, and the RFID Reader. Finally, the paper presents the advantages and performance issues of different techniques in passive RFID, and investigates the collision and anti-collision algorithms for these types of applications.

Identification and Localization of Transport Units for Selected Company

Smart identification by automatic identification technologies currently plays an important role in all areas of the national economy. Article deals with research in field of automatic identification by selected components (signal front lights, pallet and containers) through radio-frequency identification technology (RFID) in conjunction with automotive industry. The aim of our research was to identify all RFID identifiers placed on selected components and to localize position signal front lights, which was stored on pallet. It also talks about software support for RFID technology, mainly about creation and configuration of RFID middleware – specialized software tool allowing mutual communication between two or several applications; also known as connector between various application components. All results had been measured in laboratory and also real condition. A special section is dedicated to description of the technical equipment used during measurements and concept of measurements in conjunction with localization as well as their results from MySQL database.

Improved RFID Middleware Architecture and Optimal Algorithm Based on Internet of Things

Internet of things is a wireless data communications technology, while radio frequency identification (RFID) is an emerging technology in the automatic identification of the Internet of things. In fact, it means the use of RFID system identification technology through the Internet to achieve the application of information interconnection and sharing. In this paper, the author analyzes an improved RFID middleware architecture and optimal algorithm based on internet of things. Through the analysis of RFID middleware technology, we put forward an optimized load balancing algorithm. The results show that the optimization algorithm is superior to the existing algorithms in the average time of load balancing and label processing.

RFID-based scale model freight car system allowing realtime quantity checking

The barcode system currently used in the market has a weakness in that identification is only made when the barcode is visible. Unlike the barcode system, the RFID system uses radio frequency technology, allowing more accurate and faster identification of objects than the barcode system. RFID is a method to identify object data using radio frequency technology by attaching a tag to identification objects to be monitored. Active research has been conducted recently, and a lot of attempts have been made to introduce RFID technology in logistics and manufacturing sectors. This paper presents a method to check the accurate number of articles loaded in the freight car using RFID technology. The present research concerns the method in which the RFID reader and middleware is used to accurately and quickly count the number of RFID-tagged articles in real-time. When the tagged articles arrive at the reader area, the information read by the reader is delivered to the middleware. Then, the middleware identifies the number of tags, displaying the results to the user.

Reader level filtering for efficient query processing in RFID middleware

In RFID systems, middleware is used to filter a large amount of streaming data gathered continuously from readers to process application requests. The high volume of data makes the middleware often in a highly overloaded situation. The reader filtering capability can be used to reduce data volume and middleware work-load. However, if the middleware dispatches query conditions to readers without any adjustment, it may generate a huge amount of duplicate data and imposes considerable load on the middleware. As such, an appropriate schema for data volume reduction is required. In this paper, we propose a query decomposition technique to divide queries into sub-queries for middleware and reader level execution. This new approach of query execution resolves the problem of duplicate data generation. Our experiments show that the proposed approach considerably improves the performance of middleware by reducing query processing time and network traffic between reader and middleware.

Design and Implementation of Configurable RFID Middleware for Mobile Devices

RFID middleware for massive data focused on the performance of server-side processing to bring pressure on the issue, a new for mobile devices can be flexibly configured RFID middleware (SMM). SMM can be used for mobile devices, has a better platform independence , can be deployed with multiple operating systems ; abstract objects by device , user via the user interface (UI) and a standard Web interface to control and manage a variety of mobile devices . Meanwhile, SMM also provides data synchronization. Experimental results show that, SMM has low energy consumption; high efficiency advantages can effectively reduce server stress and improve system performance.

지능적인 RFID 미들웨어 시스템을 위한 적응형 윈도우 슬라이딩 기반의 유연한 데이터 정제

Over the past years RFID/SN has been an elementary technology in a diversity of applications for the ubiquitous environments, especially for Internet of Things. However, one of obstacles for widespread deployment of RFID technology is the inherent unreliability of the RFID data streams by tag readers. In particular, the problem of false readings such as lost readings and mistaken readings needs to be treated by RFID middleware systems because false readings ultimately degrade the quality of application services due to the dirty data delivered by middleware systems. As a result, for the higher quality of services, an RFID middleware system is responsible for intelligently dealing with false readings for the delivery of clean data to the applications in accordance with the tag reading environment. One of popular techniques used to compensate false readings is a sliding window filter. In a sliding window scheme, it is evident that determining optimal window size intelligently is a nontrivial important task in RFID middleware systems in order to reduce false readings, especially in mobile environments. In this paper, for the purpose of reducing false readings by intelligent window adaption, we propose a new adaptive RFID data cleaning scheme based on window sliding for a single tag. Unlike previous works based on a binomial sampling model, we introduce the weight averaging. Our insight starts from the need to differentiate the past readings and the current readings, since the more recent readings may indicate the more accurate tag transitions. Owing to weight averaging, our scheme is expected to dynamically adapt the window size in an efficient manner even for non-homogeneous reading patterns in mobile environments. In addition, we analyze reading patterns in the window and effects of decreased window so that a more accurate and efficient decision on window adaption can be made. With our scheme, we can expect to obtain the ultimate goal that RFID middleware systems can provide applications with more clean data so that they can ensure high quality of intended services.

RFID Middleware Research for Enterprise Production Information Integration

To improve the management of production site, a RFID middleware was designed to process production information. This middleware is based on Savant architecture. It contains three modules: reader adapters, data processing and API. Compatible with various readers, the middleware can send demanded data to upper application, connect RFID device to collect data, and is easy to develop and extend. Besides, a filter algorithm and a grouping algorithm were designed for processing data.

Research on the Development of Smart Library Based on Embedded RFID Middleware

This research is mainly designed and implemented the RFID middleware based on embedded Linux system. This middleware uses compositive control framework for design and development, by doing this, it makes middleware function modules can be dynamically loaded, installed and uninstalled by plug-in application form, witch will improve the flexibility and stability of the use of the RFID middleware. In the complex event processing, the paper introduced Esper engine to promoted the ability to filter, analyze, aggregate and some other complex event processing to dulling with the tagged data. This paper realized the main function module design by strictly compliance with the ALE protocol witch is made by the EPC Global Organization. The RFID middleware in this article establish the interactive interface with the external application. This middleware application can be deployed on the embedded Linux system, and it has obtained the expected effect and function after the test of this middleware application.

An Agent-Based Load Balancing Approach for RFID MiddleWares

For company to extend their RFID applications ceaselessly, the fundamental challenge is how to satisfy enterprise applications more effectively, while avoids mainframe server purchased and existed servers leave unused. It needs to decentralize work by using several RFID middlewares. So load balancing method is required for preventing centralization work in certain RFID middleware. In this paper, as a solution of tackle the challenge, we proposed a new load balancing approach based on mobile agent for RFID middlewares, which includes: information gathering policy, transfer policy, selection policy and location policy, and three agents are developed: load-info monitoring agent (LIMA) compliant to monitoring local host workload status; load-info gathering agent (LIGA) compliant to gather local and global load information; load transfer mobile agent (LTMA) compliant to choose the independent set and the appropriate scheduling scheme and implement the relocation work.

Framework Design for RFID Middleware

RFID middleware is a key technology of Internet of things. It achieves data recognition and data filtering between hardware devices and software applications. A design scheme for RFID middleware framework is presented in the paper. According to functional analysis and layered design ideas, we define a hierarchy of RFID middleware and construct an application framework, in which RFID event manager module is responsible for processing data streams and RFID information service module is responsible for system integration. Simulation results verify the correctness of the design project. Its recognition rate, redundant data filtering capability and other performance indicators have reached the preset requirements.

Design for Logistics Business Process Reengineering in the Context of Internet of Things

The Internet of Things system of enterprise is formed by RFID recognition system, middleware system and Internet system. The development of Internet of Things make the structure of logistics service horizontal and vertical flow changed; the Internet of Things technology application promote the logistics business system reconstruction, and also the business layer redesign condition; Aim at traditional logistics business processes, proposed warehousing, distribution, transport business process optimization and reengineering design based on Internet of Things technologies.

Aerodynamic Design Modeling and Simulation by Developing RFID Middleware

In this paper, a parametric modeling and simulation method is proposed, which provides a virtual simulation test environment for photovoltaic radar. A graphical user interface (GUI) is developed using VC++6.0. With this system, the integration of CAD/CFD application is achieved. Application examples show that, this system can significantly improve the efficiency of aerodynamic design. Finally, it is proved that the control process of developing RFID middleware simulator has superior performance and expected effect.

The Research and Implementation of RFID Middleware Data Filtering Algorithm

RFID is an advanced non-contact automatic identification technology. It is widely used in location, real-time identification and tracking and it has become a hot topic in the field of research. A lot of redundant data and noise data greatly reduce the efficiency and performance of RFID system. This study puts forward a filtering algorithm based on dynamic adaptive time window. In order to ensure the sequence of acquainted RFID data correctly, the ordered filtering algorithm based on hash table is introduced. Experiments show that the improved filtering algorithm not only can effectively filter duplicate data, but also can ensure the correctness of the data reception.