FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal
Abstract
:1. Summary
Relation to Prior Datasets
2. Methods
2.1. Data Collection Hardware
2.2. Monitoring Platform
2.3. Deployments
2.4. Data Labeling
3. Data Description
3.1. Demand Data
3.2. Labels Data
3.3. Deployments
4. Data Exploration and Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
CSV | Comma Separated Values |
FIK | Future Industrial Kitchen |
IK | Industrial Kitchen |
IoT | Internet of Things |
OSF | Open Science Framework |
RTC | Real Time Clock |
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Parameter | Value |
---|---|
Accuracy | ≤1% |
Velocity Range | 0 ~±10 m/s, bi-directional |
Pipe Size | DN32 DN6000 mm |
Pipe Material | Steel, stainless steel, cast iron, copper, PVC, aluminum, etc. |
Type of Liquid | Single liquid that can transmit ultrasound, such as water, sea water, and oil |
Temperature | ~30 °C ~160 °C |
ID | Service | Area (m2) | Capacity (Seats) | Start | End | S |
---|---|---|---|---|---|---|
1 | Dinner | 58.15 | 50 | 15-02-2019 | 03-03-2019 | 5 |
2 | Dinner | 25.52 | 50 | 12-03-2019 | 02-04-2019 | 5 |
3 | Breakf. and Dinner | 35.23 | 40 | 16-04-2019 | 15-05-2019 | 5 |
Column | Description | Units |
---|---|---|
timestamp | The timestamp when the record was collected | – |
flow_rate | Water flow rate | m/h |
velocity | Water velocity | m/s |
sound_speed | Sound speed in the water | m/s |
flow_today | Total water flow from 00:00 up to this moment | m |
flow_month | Total water flow from the beginning of the month up to this moment | m |
Column | Description | Units |
---|---|---|
timestamp | The timestamp when the label was recorded | – |
mode | If the appliance is ON (0) or OFF (1) |
Column | Description | Units |
---|---|---|
ID | Kitchen identifier | |
service | Type of service provided (Breakfast, Lunch, Dinner) | |
area | Area of the kitchen floor | m |
capacity | Maximum number of customers in simultaneous | |
has_hot_water | If hot water data are available or not | |
has_cold_water | If cold water data are available or not | |
has_labels | If the data contain wet appliance labels or not | |
start | Date of the first measurement across all the waste bins | |
end | Date of the last measurement across all the waste bins |
ID | Days | Hot Water | Cold Water | Coverage (%) |
---|---|---|---|---|
1 | 18 | 289,541 | 289,851 | 98 |
2 | 25 | 396,936 | 393,678 | 95 |
3 | >31 | >– | >522,107 | >98 |
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Pereira, L.; Aguiar, V.; Vasconcelos, F. FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal. Data 2021, 6, 26. https://doi.org/10.3390/data6030026
Pereira L, Aguiar V, Vasconcelos F. FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal. Data. 2021; 6(3):26. https://doi.org/10.3390/data6030026
Chicago/Turabian StylePereira, Lucas, Vitor Aguiar, and Fábio Vasconcelos. 2021. "FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal" Data 6, no. 3: 26. https://doi.org/10.3390/data6030026