SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities
Smart cities facilitate the comprehensive management and operation of urban data generated within a city, establishing the foundation for smart services and addressing diverse urban challenges. A smart system for public laundry management uses artificial intelligence-based solutions to solve the cha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/7/2159 |
| _version_ | 1797211977107374080 |
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| author | Raluca Laura Portase Ramona Tolas Rodica Potolea |
| author_facet | Raluca Laura Portase Ramona Tolas Rodica Potolea |
| author_sort | Raluca Laura Portase |
| collection | DOAJ |
| description | Smart cities facilitate the comprehensive management and operation of urban data generated within a city, establishing the foundation for smart services and addressing diverse urban challenges. A smart system for public laundry management uses artificial intelligence-based solutions to solve the challenges of the inefficient utilization of public laundries, waiting times, overbooking or underutilization of machines, balancing of loads across machines, and implementation of energy-saving features. We propose SmartLaundry, a real-time system design for public laundry smart recommendations to better manage the loads across connected machines. Our system integrates the current status of the connected devices and data-driven forecasted usage to offer the end user connected via a mobile application a list of recommended machines that could be used. We forecast the daily usage of devices using traditional machine learning techniques and deep learning approaches, and we perform a comparative analysis of the results. As a proof of concept, we create a simulation of the interaction with our system. |
| first_indexed | 2024-04-24T10:35:03Z |
| format | Article |
| id | doaj.art-dfc8bdafe29b42bb944b4de3c4279c40 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T10:35:03Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dfc8bdafe29b42bb944b4de3c4279c402024-04-12T13:26:21ZengMDPI AGSensors1424-82202024-03-01247215910.3390/s24072159SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart CitiesRaluca Laura Portase0Ramona Tolas1Rodica Potolea2Computer Science Department, Technical University of Cluj Napoca, 400114 Cluj-Napoca, RomaniaComputer Science Department, Technical University of Cluj Napoca, 400114 Cluj-Napoca, RomaniaComputer Science Department, Technical University of Cluj Napoca, 400114 Cluj-Napoca, RomaniaSmart cities facilitate the comprehensive management and operation of urban data generated within a city, establishing the foundation for smart services and addressing diverse urban challenges. A smart system for public laundry management uses artificial intelligence-based solutions to solve the challenges of the inefficient utilization of public laundries, waiting times, overbooking or underutilization of machines, balancing of loads across machines, and implementation of energy-saving features. We propose SmartLaundry, a real-time system design for public laundry smart recommendations to better manage the loads across connected machines. Our system integrates the current status of the connected devices and data-driven forecasted usage to offer the end user connected via a mobile application a list of recommended machines that could be used. We forecast the daily usage of devices using traditional machine learning techniques and deep learning approaches, and we perform a comparative analysis of the results. As a proof of concept, we create a simulation of the interaction with our system.https://www.mdpi.com/1424-8220/24/7/2159public laundries’ allocationreal-time systemforecasting usagerecommendation algorithmIoTsmart city |
| spellingShingle | Raluca Laura Portase Ramona Tolas Rodica Potolea SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities Sensors public laundries’ allocation real-time system forecasting usage recommendation algorithm IoT smart city |
| title | SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities |
| title_full | SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities |
| title_fullStr | SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities |
| title_full_unstemmed | SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities |
| title_short | SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities |
| title_sort | smartlaundry a real time system for public laundry allocation in smart cities |
| topic | public laundries’ allocation real-time system forecasting usage recommendation algorithm IoT smart city |
| url | https://www.mdpi.com/1424-8220/24/7/2159 |
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