Laundry Control System Using Textronics and Cloud Computing

The paper presents a model and implementation of a distributed laundry management system utilizing textiles and cloud computing, enabling intelligent control of the washing process through the use of RFID identifiers in textiles and connecting devices to the Azure IoT Hub service. Textiles equipped with RFID identifiers are automatically recognized, allowing for optimal adjustment of washing parameters based on the type of material. The communication module, based on the Raspberry Pi microcomputer, works in conjunction with the STM32 microcontroller, transmitting data to the cloud, where it is analyzed to provide recommendations regarding detergents, washing times, and other settings. A prototype of the control system was developed in the form of a sequential algorithm using CPDev software. Based on the laboratory model, measurements were conducted to assess the accuracy of textile identification, which helped determine the optimal number of scans.

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Publication Details

Journal
Pomiary Automatyka Robotyka
Published
2024-12-11
DOI
https://doi.org/10.14313/par_254/73
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Laundry Control System Using Textronics and Cloud Computing

Mateusz Salach, Bartosz Trybuś, Bartosz Pawłowicz, Marcin Hubacz
Pomiary Automatyka Robotyka
Vehicle License Plate Recognition
article

Laundry Control System Using Textronics and Cloud Computing

Mateusz Salach, Bartosz Trybuś, Bartosz Pawłowicz, Marcin Hubacz
article en

Abstract

The paper presents a model and implementation of a distributed laundry management system utilizing textiles and cloud computing, enabling intelligent control of the washing process through the use of RFID identifiers in textiles and connecting devices to the Azure IoT Hub service. Textiles equipped with RFID identifiers are automatically recognized, allowing for optimal adjustment of washing parameters based on the type of material. The communication module, based on the Raspberry Pi microcomputer, works in conjunction with the STM32 microcontroller, transmitting data to the cloud, where it is analyzed to provide recommendations regarding detergents, washing times, and other settings. A prototype of the control system was developed in the form of a sequential algorithm using CPDev software. Based on the laboratory model, measurements were conducted to assess the accuracy of textile identification, which helped determine the optimal number of scans.

Pomiary Automatyka RobotykaVol. 28(4)
Rzeszów University of Technology (PL)
Openalex Percentile: Top 64%
Vehicle License Plate Recognition
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