Skip to main navigation Skip to search Skip to main content

Triggningskriterier i triggningsmodul för trådlösa dataloggern DL141E

Translated title of the thesis: Triggering Criteria in Trigger Module for Wireless Data Logger DL141E
  • Aleksandar Jovanovic
  • Cong Vu

Student thesis: Bachelor

Abstract

With the data logger DL141E it’s possible to continuously log measurement data from sensors up to 30k samples per second, and then transferring them to a mobile phone with Bluetooth technology. But this is by far too much sample data in a small time for a mobile phone with technical limitations to receive. That’s why only relevant measurement data should be mass logged to reduce the unnecessary data amount. Int his study a new approach is proposed where a specific and smaller amount of discrete pre-samples are logged in sequence. Every set of pre-samples is processed by comparing them to the user pre-defined trigger criterias. Met criterias will trigger logging of a massive set of samples on basis of only interesting signal deviations. The following trigger criterias are used: a specific signal level to cross, a specific signal direction, and both of these in combination with an amount of consecutive samples. The study provides an examination on how the signal processing method ”Lebesgue sampling” can be applied with the above criterias to achieve a god accuracy with reasonable processing time on mobile phones. This is observed using sensors with the most common signal types ramp and pulse in an environment where small noises and transients occur. The accuracy and the processing load are taken into account when estimating the efficiency of Lebesgue method and when estimating how many pre-samples per set might be sufficient. The implementation is written in Java Android platform and then integrated into a digital triggering module with Graphical User Interface (GUI).

Date of Award2018-Jun-29
Original languageSwedish
SupervisorBraco Veletanlic (Supervisor), Carl-Axel Olsson (Supervisor) & Qinghua Wang (Examiner)

Educational program

  • Bachelor programme in Computer Science and Engineering

University credits

  • 15 HE credits

Swedish Standard Keywords

  • Signal Processing (20205)
  • Computer Engineering (10206)
  • Software Engineering (10205)

Keywords

  • data logger dl141e
  • signal processing
  • ramp
  • pulse
  • software triggering criterias
  • pre-samples
  • lebesgue sampling
  • send on delta

Cite this

'