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An Open Distributed Architecture for Sensor Networks for Risk Management.

John Douglas1, Thomas Usländer2, Gerald Schimak3

  • 1BRGM - ARN/RIS, 3 avenue C. Guillemin, BP 36009, 45060 ORLEANS Cedex 2, France. j.douglas@brgm.fr.

Sensors (Basel, Switzerland)
|November 24, 2016
PubMed
Summary

Sensor data is crucial for managing natural and man-made hazards, but accessing and using it is difficult. New open architectures and web services improve data accessibility and interoperability for better risk management.

Keywords:
ORCHESTRASANYSensor networksopen distributed architecturerisk managementweb services

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Area of Science:

  • Geosciences and Environmental Science
  • Information Technology and Computer Science
  • Risk Management and Disaster Science

Background:

  • Sensors, ranging from satellites to deep boreholes, are vital for collecting data across all phases of natural and man-made hazard risk management.
  • Current sensor network data utilization is hindered by challenges in discovering network capabilities, accessing data due to interoperability issues, and processing information due to system incompatibilities.
  • These limitations lead to inefficiencies and underutilization of valuable data critical for risk mitigation.

Purpose of the Study:

  • To address the challenges in accessing and utilizing sensor network data for risk management.
  • To present the developments of the ORCHESTRA and SANY projects funded by the European Commission.
  • To promote improved data accessibility and interoperability within the risk management domain.

Main Methods:

  • Development of an open, distributed information technology architecture.
  • Implementation of web services for accessing and using sensor network data.
  • Adherence to existing data and service standards from international organizations, aligning with the INSPIRE directive.

Main Results:

  • An open architecture and web services have been developed to facilitate the use of sensor data.
  • The developed solutions are based on established international standards, ensuring broader applicability.
  • The architecture supports a service-oriented approach using standardized web services for data input and output.

Conclusions:

  • The developed open architecture and services enable easier access and use of sensor data for risk management.
  • This approach fosters an operational market for risk management services in Europe, reducing costs by avoiding replacement of existing IT systems.
  • The flexible and interoperable system allows users to select the most suitable tools based on their specific needs, budgets, and cultural contexts.