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An Industry 4.0 Solution for the Detection of Dangerous Situations in Civil Work Scenarios

  • Borja BordelEmail author
  • Ramón Alcarria
  • Tomás Robles
  • David González
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 918)

Abstract

Industry 4.0 is envisioned to apply Cyber-Physical Systems to production systems, assembling lines and other industrial solutions. However, new and innovative approaches may be also designed to solve traditional problems in a more efficient and low-cost manner. In particular, one of the most recognized problems in industry is the prevention of occupational hazards. Many different specific scenarios and risks could be identified in industrial scenarios, but nowadays the industrial sector where (probably) more risks are present is civil works. The use of heavy equipment, where drivers have a limited visual field, is a potential problem for workers at ground level. In this paper it is proposed an Industry 4.0 solution for this situation, where workers are provided with a beaming element, whose signal is received in a central node placed in the machinery. Received signal are processed and analyzed to create alarms and other messages to the driver. The proposed solution is validated in a real scenario using real heavy equipment.

Keywords

Industry 4.0 Security Civil works Wireless solutions Signal processing 

Notes

Acknowledgments

The research leading to these results has received funding from the Ministry of Economy and Competitiveness through SEMOLA project (TEC2015-68284-R), from the Centre for the Development of Industrial Technology (CDTI) through PERIMETER SECURITY project (ITC-20161228) and from the Autonomous Region of Madrid through MOSI-AGIL-CM project (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Borja Bordel
    • 1
    Email author
  • Ramón Alcarria
    • 1
  • Tomás Robles
    • 1
  • David González
    • 2
  1. 1.Universidad Politécnica de MadridMadridSpain
  2. 2.Espacios Castellanos de InnovaciónToledoSpain

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