D7.6 On-site readiness assessment of use cases based on existing sensor infrastructure I

A public report, led by TNI-UCC, asessing the on-site readiness of use cases based on existing sensor infrastructure

This deliverables relates to WP7, Analysis and Completion of Existing Sensor Infrastructure Analysis and Completion of Existing Sensor Infrastructure, Task 7.3 Analysis and Completion of Existing Sensor Infrastructure. The readiness of the 3 COMPOSITION industrial use case sites (BSL, KLE & ELDIA) for potential integration of wired and wireless sensors to support the higher priority use cases was assessed under the following categories

• Existing infrastructure & sensors/data available
• Requirements for additional sensors for the use cases
• Requirements for additional infrastructure to retrofit these sensors
• Initial studies to select the sensors required
• Initial studies undertaken to prepare for installation

The key applications identified were asset tracking, conditional monitoring and container fill levels (scrap/metal).Priority was given to identifying OTS (off the shelf) solutions and getting them to work and gather source data. Further work remains to be done in terms of looking at other sensor types and scaling challenges but enough work was done to determine readiness of each of the sites for initial experiments & to determine the type and quantity of sensors required. Significant work is required assessing assets and infrastructure but the use of wireless sensors reduces retrofit effort and increases re-configurability. Additional assessment will be undertaken on other industry uses cases as part of the planning process for their implementation. Laboratories (TNI-UCCBSL white space & CERTH)provide a means to do some early and non-invasive testing of sensors and protocols at research or production facilities. BLE and some combination of UWB & IMU are the most promising technologies for asset tracking. Acoustic and power consumption are the most suitable sensory parameters for conditional monitoring of fans at BSL. Vibrational and temperature data on/near motors is also being considered but may be unnecessary. For waste containers based at KLE ultrasonic & time of flight sensors were selected. The fill level monitoring systems have been tested in the lab in various surfaces and angles to determine the behaviour of the sensors. The communication protocol used for fill level sensors is LoRa as it achieves long ranges at very low power consumption at 868 MHz. WiFi capability and other communication protocols will also be assessed during the project. For KLE polishing machine monitoring a WiFi connected Vibrometer proto system developed by CERTH has been selected using accelerometers. Its motion detection feature can be used to turn on only when the motor is running and thereby minimise power consumption.