IOT RFID laundry management system solution
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At present, hotels, hospitals, baths and professional washing companies are facing the process of handling thousands of pieces of work clothes, linen handover, washing, ironing, finishing, storage, etc., how to effectively track and manage each piece The washing process, washing times, inventory status and effective classification of the linen are a great challenge:
Handover of paper washing tasks is complicated and difficult to inquire;
Because of the fear of cross-infection, some statistics on the quantity of linen to be washed cannot be carried out, and the mismatch between the quantity of washed and the task is likely to cause commercial disputes;
Each step of the washing process cannot be accurately monitored, and the linen has a missing processing link;
The washed linen is classified accurately to save storage space;
It is impossible to accurately arrange the minimum safety stock for each piece of linen.
The introduction of IOT RFID radio frequency identification technology will make the user’s laundry management more transparent, improve work efficiency, and solve the management problems that could not be achieved by other technologies in the past, such as: large quantities of cloth to be washed Draft statistics and handover.
The solution is to sew an IOT electronic label on each piece of fabric. The electronic label has a globally unique identification code, that is, each piece of linen will have a unique management identification until the linen is scrapped (the label can be Repeated use, but does not exceed the service life of the label itself). In the entire linen use and washing management, the use status and washing times of the linen will be automatically recorded through the RFID reader. It supports batch reading of labels during washing handover, making the handover of washing tasks simple and transparent, and reducing business disputes. At the same time, by tracking the number of washes, it can estimate the service life of the current linen for users and provide forecast data for the purchase plan.
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