ZigID: Improving visibility in industrial environments by combining WSN and RFID

Journal of Zhejiang University - Science A: Applied Physics & Engineering (Impact Factor: 0.88). 11/2011; 12(11):849-859. DOI: 10.1631/jzus.A1100024

ABSTRACT The objective of this work is to provide decision-making processes with an updated/real picture of the mobile resources in
industrial environments through a constant feedback of information. The combination of identification technologies and wireless
sensor networks (WSN) is proposed as a key development to guarantee an accurate and timely supply of online information regarding
the localization and tracking of the mobile wireless devices. This approach uses a cooperative and distributed localization
system, called ZigID, which is a WSN based on a Zigbee network with radio frequency identification (RFID) active tags as end
nodes. The WSN can recover not only the ID information stored at the tags attached to mobile resources, but also any other
useful data captured by specific sensors for acceleration, temperature, humidity and fuel status. This paper also shows the
development of ZigID, including devices and information flows, as well as its implementation in ground handling operations
at the Ciudad Real Central Airport, Spain.

Key wordsRadio frequency identification (RFID)–Tracking–Wireless sensor networks (WSNs)

Download full-text


Available from: Javier Otamendi, Sep 28, 2015
1 Follower
58 Reads
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: A flexible manufacturing system is capable of dealing with changes and uncertainties occurring in a manufacturing environment. A rigid automation system adapts changes through reconfiguration or manual modification of its control programmes. In contrast, an advanced system responds to the changes autonomously or with a minimal manual intervention. One critical technology for a flexible manufacturing system is to detect or predict the changes and uncertainties and take them into account for the control of the manufacturing system. In this paper, an intelligent manufacturing system is proposed to accommodate product geometric variants autonomously by integrating a D vision system into manufacturing processes. The proposed system is capable of acquiring vision sensor data, detecting the geometric changes, and modifying the control programmes of the machine in response to the changes. In this innovative work, a new method for converting the raw vision sensor data into a surface model of the product is presented. A new surface reconstruction algorithm is proposed to generate the surface model directly from the raw 3D point-cloud data of a product. In addition, an advanced programming algorithm that uses acquired surface models to automatically update robot programmes for a new task with minimal manual intervention is presented.
    Enterprise Information Systems 05/2012; 8(2):1-21. DOI:10.1080/17517575.2012.654826 · 9.26 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Tracking persons in dangerous situations as well as monitoring their physical condition, is often crucial for their safety. The systems commonly used for this purpose do not include individual monitoring or are too expensive and intrusive to be deployed in common situations. In this project, a mobile system based on energy-efficient wireless sensor networks (WSNs) and active radio frequency identification (RFID) has been developed to achieve ubiquitous positioning and monitoring of people in hazardous situations. The system designed can identify each individual, locate him/her, send data regarding their physical situation, and ascertain whether they are located in a confined space. A new algorithm called time division double beacon scheduling (TDDBS) has been implemented to increase operation time and data transmission rate of the nodes in the system. The results show that the use of this system allows us to find the location and state of a person, as well as to provide an analysis of the potential risks at each moment, in real time and in an energy-efficient way. In an emergency, the system also allows for quicker intervention, as it not only provides the location and causes of the event, but also informs about the physical condition of the individual at that moment.
    Journal of Zhejiang University: Science C 09/2012; 13(9). DOI:10.1631/jzus.C1100318 · 0.42 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Today's manufacturing environments are very dynamic and turbulent. Traditional enterprise information systems (EISs) have mostly been implemented upon hierarchical architectures, which are inflexible to adapt changes and uncertainties promptly. Next-generation EISs must be agile and adaptable to accommodate changes without significant time delays. It is essential for an EIS to obtain real-time data from the distributed and dynamic manufacturing environment for decision making. Wireless sensor networks (WSNs) and radio-frequency identification (RFID) systems provide an excellent infrastructure for data acquisition, distribution, and processing. In this paper, some key challenges related to the integration of WSN and RFID technologies are discussed. A five-layer system architecture has been proposed to achieve synergistic performance. For the integration of WSN and RFID, one of the critical issues is the low efficiency of communication due to redundant data as redundant data increases energy consumption and causes time delay. To address it, an improved data cleaning algorithm has been proposed; its feasibility and effectiveness have been verified via simulation and a comparison with a published algorithm. To illustrate the capacity of the developed architecture and new data cleaning algorithm, their application in relief supplies storage management has been discussed.
    IEEE Transactions on Industrial Informatics 02/2014; 10(1):408-418. DOI:10.1109/TII.2013.2250510 · 8.79 Impact Factor