A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
SMART Infrastructure Facility Building Data
SMART Building Data Authors: J. Barthelemy, B. Arshard, N. Verstaevel, P. Perez Contact: SMART Infrastructure Facility - smart-iot@uow.edu.au Version: 08 July 2020 Description The time series data has been generated by Droplet sensors installed in every room of the SMART Infrastructure Facility of the University of Wollongong. The sampling rate is set to one minute and the data is transmitted via a LoRaWAN network. Each device sense temperature, humidity, luminosity, pressure, movement and CO2 (*). In addition, they transmit their orientation (*), node id, room id and battery voltage. Each packet received by the LoRaWAN network is also characterized by a RSSI, an SNR and a checksum. The (*) CO2 and orientation data are not accurate. Data dictionary The dataset contains the following features: * info : the type of information for the current row. It can be: - temp -> temperature (Celcius) - humidity -> humidity (%) - light -> luminosity (1024 levels, 0 being the darkest and 1024 the brightest) - co2 -> CO2 (1024 levels, 0 being the lowest, 1024 the highest) - pressure -> pressure (hPa) - orient -> orientation of the sensor - nodeId -> internal id of the sensor - roomNum -> room id of the sensor - voltage -> battery voltage of the sensor (V) - movement -> motion detection (True/False) - checksum -> checksum of the packet transmitted via LoRaWAN * room_id : the room id in which the sensor is installed (see map of the building) * date_time : the timestamp of the data * bool_v : boolean value (true/false) for movement * str_v : string value for nodeId, checksum, roomNum * long_v : integer (long) value for light, orient, rssi, co2, humidity * dbl_v : real (double) value for voltage, pressure, temp, snr Notes - The uncompressed dataset is a 40Gb CSV file. - Droplet sensors specifications: https://nube-io.com/wp-content/uploads/Droplet-Specifications-V5.0-1.pdf. - More information about the SMART Infrastructure Facility is available here: https://www.uow.edu.au/smart/.
SMART Infrastructure Facility Building Data
SMART Building Data Authors: J. Barthelemy, B. Arshard, N. Verstaevel, P. Perez Contact: SMART Infrastructure Facility - smart-iot@uow.edu.au Version: 08 July 2020 Description The time series data has been generated by Droplet sensors installed in every room of the SMART Infrastructure Facility of the University of Wollongong. The sampling rate is set to one minute and the data is transmitted via a LoRaWAN network. Each device sense temperature, humidity, luminosity, pressure, movement and CO2 (*). In addition, they transmit their orientation (*), node id, room id and battery voltage. Each packet received by the LoRaWAN network is also characterized by a RSSI, an SNR and a checksum. The (*) CO2 and orientation data are not accurate. Data dictionary The dataset contains the following features: * info : the type of information for the current row. It can be: - temp -> temperature (Celcius) - humidity -> humidity (%) - light -> luminosity (1024 levels, 0 being the darkest and 1024 the brightest) - co2 -> CO2 (1024 levels, 0 being the lowest, 1024 the highest) - pressure -> pressure (hPa) - orient -> orientation of the sensor - nodeId -> internal id of the sensor - roomNum -> room id of the sensor - voltage -> battery voltage of the sensor (V) - movement -> motion detection (True/False) - checksum -> checksum of the packet transmitted via LoRaWAN * room_id : the room id in which the sensor is installed (see map of the building) * date_time : the timestamp of the data * bool_v : boolean value (true/false) for movement * str_v : string value for nodeId, checksum, roomNum * long_v : integer (long) value for light, orient, rssi, co2, humidity * dbl_v : real (double) value for voltage, pressure, temp, snr Notes - The uncompressed dataset is a 40Gb CSV file. - Droplet sensors specifications: https://nube-io.com/wp-content/uploads/Droplet-Specifications-V5.0-1.pdf. - More information about the SMART Infrastructure Facility is available here: https://www.uow.edu.au/smart/.
SMART Infrastructure Facility Building Data
Barthélemy, Johan (author) / Arshad, Bilal (author) / Verstaevel, Nicolas (author) / Perez, Pascal (author)
2020-07-08
Research Data
Electronic Resource
English
IoT , sensors , scada , smart building , digital twin
DDC:
690
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