Intelligent internet-of-things operation system and method for medical textiles

Abstract

The invention discloses an intelligent internet-of-things operation system and method for medical textiles, and the system comprises the following modules: an identification module which is used for setting an electronic identity label for each medical textile, and the electronic identity label is a washing label; the recycling module is used for recycling, scanning and recording the dirty medical textiles with the washing labels; the conveying and washing module is used for conveying the collected dirty medical textiles into a washing part in batches, rechecking the types and the number and then washing the medical textiles; the issuing module is used for issuing the cleaned medical textiles; and the intelligent control module comprises a cloud server, the cloud server is associated with an intelligent terminal APP through the Internet, data transmission is carried out between the cloud server and the identification module, the recovery module, the delivery and washing module and the distribution module, and the recovery, washing and distribution processes of the medical textiles are controlled in the whole process. According to the intelligent internet-of-things operation system and method for the medical textiles, the dirty medical textiles can be treated more safely, and sensing control accidents and virus transmission are prevented.

Description

technical field [0001] The invention relates to the field of medical article management, in particular to an intelligent IoT operation system and method for medical textiles. Background technique [0002] The medical system needs to use a large number of medical textiles, such as doctor's clothing, patient clothing, hospital bedding and other types of textile products. In the prior art, hospitals usually invest a lot of money and management manpower in purchasing the above medical textiles, and purchase them in batches The quality of medical textiles varies, which may reduce the use effect, and requires self-provided warehouse storage and manpower management. Since bedding and clothing need to be cleaned and reused, it also involves washing. At present, there are special washing factories that can The washing business is outsourced, but the washing quality is difficult to control, the quality and safety are difficult to trace, and the handover process is complicated, so the ...

AI Technical Summary

Problems solved by technology

[0002] The medical system needs to use a large number of medical textiles, such as doctor's clothing, patient clothing, hospital bedding and other types of textile products. In the prior art, hospitals usually invest a lot of money and management manpower in purchasing the above medical textiles, and purchase them in batches The quality of medical textiles varies, which may reduce the use effect, and requires self-provided warehouse storage and manpower management. Since bedding and clothing need to be cleaned and reused, it also involves washing. At present, there are special washing factories that can The washing business is outsourced, but the washing quality is difficult to control, the quality and safety are difficult to trace, and the handover process is complicated, so it is impossible to guarantee the smooth progress of the docking work

[0003] In the prior art, there are already technical solutions for using medical textiles in the form of leasing. Generally, medical textiles are identified by setting RFID electronic tags. , using RFID detectors to scan records one by one, after sending to the washing factory, it is necessary to check the type and quantity of textiles, etc.

Due to the infectious virus that may be carried by dirty medical textiles, it needs to be handled by many people, such as operators, during the washing process. Contacting by multiple people may cause infectious accidents and virus transmission. Therefore, how to deal with dirty medical textiles more safely It is the technical problem that the present invention focuses on solving

Images