In recent years, the range of sensing technologies has expanded rapidly, whereas sensors present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WSN (Wireless Sensor Network) can play a vital role in the Industry 4.0 framework. This has led to a rapid expansion in smart factories and intelligent manufacturing systems. Integration intelligent network sensors in case of remote maintenance applications that link information technology solutions with condition-based maintenance have not been considered before, for that the proposed application will enable industrial manufacturing to implement condition-based maintenance for the health status of industrial equipment. The paper presents system architecture and hardware organization, explain the choice of sensors devices; as well as the identification of sensor configurations and network topologies; also the choice of the more appropriate platform based on the power consumption in a comparative way using Contiki software.

Running smart monitoring maintenance application using cooja simulator

Faccio M.;
2019

Abstract

In recent years, the range of sensing technologies has expanded rapidly, whereas sensors present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WSN (Wireless Sensor Network) can play a vital role in the Industry 4.0 framework. This has led to a rapid expansion in smart factories and intelligent manufacturing systems. Integration intelligent network sensors in case of remote maintenance applications that link information technology solutions with condition-based maintenance have not been considered before, for that the proposed application will enable industrial manufacturing to implement condition-based maintenance for the health status of industrial equipment. The paper presents system architecture and hardware organization, explain the choice of sensors devices; as well as the identification of sensor configurations and network topologies; also the choice of the more appropriate platform based on the power consumption in a comparative way using Contiki software.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3317028
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