Bluetooth Based Bird Detection System
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Context: Windmills became one of main sources of energy. Sincethey are placed in open areas, there are many chances that birds mayenter the wind farms and get killed or damaged. Some wind farms usepulse radar systems for saving the birds from windmills. In this pulseradar technology, the turbines are turned off automatically when a birdis detected. Another technology is ultrasonic "boom boxes", which areattached to turbines and produce high-frequency noises continuouslyto repel birds. The system we are going to propose detects the birdsentering the farm using Bluetooth technology and alerts the windmill farm operator. Using Bluetooth technology can be power efficient, ac-curate, and mainly useful for avifauna method of protection.
Objectives: The main objective of the Bluetooth bird detection sys-tem is to make distance estimation possible with the help of signal strength that is measured between two Bluetooth devices where oneis placed at the wind farm and another on bird.
Methods: Bird detection and distance measurement is done using a BGX13P Bluetooth transmitter and receiver. According to the distance to the bird, further steps can be taken to protect it. Simplicity Studio application is used to take the readings of the Bluetooth signalstrength of the transmitter and receiver.
Results: As a result, the birds are detected at two distances from awindmill, the first distance is 250 m and the second is 175 m from thewindmill. The windmill operator is alerted when the bird is detectedat either of these distances.
Conclusion: A bird detection system is built with the help of Blue-tooth technology. This system helps saving the birds from collisions with windmills. However, there is a need for further quantitative andqualitative validation of the models in full-scale industry trials.
Place, publisher, year, edition, pages
2023. , p. 33
Keywords [en]
Bluetooth, Avifauna, Signal strength, Distance estimation, Bird Detection
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-24186OAI: oai:DiVA.org:bth-24186DiVA, id: diva2:1725402
External cooperation
Bioseco, Poland
Subject / course
ET1464 Degree Project in Electrical Engineering
Educational program
ETGDB Bachelor Qualification Plan in Electrical Engineering 60,0 hp
Supervisors
Examiners
2023-01-112023-01-102023-01-11Bibliographically approved