Sensor and Sensor-Data Fusion for Dynamic Reconfigurable Cyber Physical Systems
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TY - BOOK
T1 - Sensor and Sensor-Data Fusion for Dynamic Reconfigurable Cyber Physical Systems
AU - Theußl, Ernst
N1 - embargoed until 23-04-2026
PY - 2021
Y1 - 2021
N2 - This thesis investigates sensors and sensor data fusion to enable dynamically reconfigurable mobile processing plant and machinery. The ensemble of machines is considered to constitute a cyber physical system (CPS). Two main issues are addressed: sensors and processing algorithms to determine the position and orientation of the mobile equipment and systems to improve productivity of the machines. A new concept and its implementation to determine the relative position and orientation of the mobile elements of the plant is presented. It is based on ultra-wideband (UWB) sensors; however, the newly developed configuration does not require the installation of stationary infrastructure. Additionally, a new computation approach is presented; it is characterized with respect to the uncertainties of the determined locations, distance measurement s = 18.8mm, positioning s = 64mm in an industrial environment. The redundancy of the configuration and the newly developed calibration procedures make the UWB suitable for use in industrial environments. Thermal imaging and tensor polynomial processing concepts were applied to detect the trapping of ferrous material in the magnetic field of the Eddy current separator. The timely detection is used to preempt possible damage to the transport media from overheating of the trapped particles. Visual imaging is also applied to determine momentary material-throughput on the equipment; this is used to improve overall efficiency. Additionally, results are presented of a selection of sensors and sensor concepts, most notably linear microphone arrays. The data from these arrays are processed using phased acoustic computation methods. The aim is to determine the locations of sources of sound emanating from particles trapped in the field of the eddy current separator.
AB - This thesis investigates sensors and sensor data fusion to enable dynamically reconfigurable mobile processing plant and machinery. The ensemble of machines is considered to constitute a cyber physical system (CPS). Two main issues are addressed: sensors and processing algorithms to determine the position and orientation of the mobile equipment and systems to improve productivity of the machines. A new concept and its implementation to determine the relative position and orientation of the mobile elements of the plant is presented. It is based on ultra-wideband (UWB) sensors; however, the newly developed configuration does not require the installation of stationary infrastructure. Additionally, a new computation approach is presented; it is characterized with respect to the uncertainties of the determined locations, distance measurement s = 18.8mm, positioning s = 64mm in an industrial environment. The redundancy of the configuration and the newly developed calibration procedures make the UWB suitable for use in industrial environments. Thermal imaging and tensor polynomial processing concepts were applied to detect the trapping of ferrous material in the magnetic field of the Eddy current separator. The timely detection is used to preempt possible damage to the transport media from overheating of the trapped particles. Visual imaging is also applied to determine momentary material-throughput on the equipment; this is used to improve overall efficiency. Additionally, results are presented of a selection of sensors and sensor concepts, most notably linear microphone arrays. The data from these arrays are processed using phased acoustic computation methods. The aim is to determine the locations of sources of sound emanating from particles trapped in the field of the eddy current separator.
KW - Sensoren
KW - Sensordaten
KW - UWB
KW - Positionierung
KW - Zustands�berwachung
KW - sensors
KW - sensor data
KW - UWB
KW - positioning
KW - condition monitoring
M3 - Doctoral Thesis
ER -