Novel Sensor Solutions with Applications to Monitoring of Elevator Systems
Uusitalo, Joona (2018)
2018
Sähkötekniikka
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2018-02-07
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201801261164
https://urn.fi/URN:NBN:fi:tty-201801261164
Tiivistelmä
The task of this master’s thesis was to design and implement a mobile and easy to use sensor system to monitor elevator systems. This sensor system would be used to collect data for research use. The sensor system should be capable to monitor the movement of the elevator car and environmental values of the elevator system. In addition to storing measured data locally, the sensor system should be also capable to store the measured data to a cloud server. Other task was to research a method to determine the position of the elevator car in the elevator shaft.
Raspberry Pi 3 Model B is the base of the designed prototype. All the used sensors are in TI’s plug-in module, which connects to the Raspberry via I2C. The module includes accelerometer, gyroscope, magnetometer, air pressure sensor, humidity sensor and tem-perature sensor. To determine the position of the elevator car, the prototype utilizes Marvelmind indoor navigation system. The mobile beacon of the Marvelmind system connects via USB to the Raspberry. The prototype connects wirelessly to TUT-wireless network enabling saving data to a cloud server. The prototype measures the inertial movements with sampling frequency of 400 Hz and environmental values with 40 Hz.
The overall performance of the prototype was tested in real elevator systems while the performance of the positioning accuracy was tested in simulated elevator system in the corridor of Konetalo. The results from the tests in real elevator systems showed that the prototype obtains and stores the data correctly. The results from the tests in simulated elevator system showed that the Marvelmind system can be used to determine the position of the elevator car in the elevator shaft with some restriction.
Raspberry Pi 3 Model B is the base of the designed prototype. All the used sensors are in TI’s plug-in module, which connects to the Raspberry via I2C. The module includes accelerometer, gyroscope, magnetometer, air pressure sensor, humidity sensor and tem-perature sensor. To determine the position of the elevator car, the prototype utilizes Marvelmind indoor navigation system. The mobile beacon of the Marvelmind system connects via USB to the Raspberry. The prototype connects wirelessly to TUT-wireless network enabling saving data to a cloud server. The prototype measures the inertial movements with sampling frequency of 400 Hz and environmental values with 40 Hz.
The overall performance of the prototype was tested in real elevator systems while the performance of the positioning accuracy was tested in simulated elevator system in the corridor of Konetalo. The results from the tests in real elevator systems showed that the prototype obtains and stores the data correctly. The results from the tests in simulated elevator system showed that the Marvelmind system can be used to determine the position of the elevator car in the elevator shaft with some restriction.