Research On The Identification Analysis Method Of Blood Purification Medical Devices

The identification of the Internet of things is the identity certificate of each resource object in the Internet of things.Through the identification,the resource object can be uniquely located.It is an important connection point to realize the interconnection and data sharing between things and people.Due to the centralization of the identification data among different manufacturers,the low reliability of the identification cannot guarantee the reliability of the source identification code and the identification data.Moreover,there are many heterogeneous coding systems for the identification of medical devices,and different identification systems are incompatible with each other,which brings some difficulties to the identification analysis.Therefore,because of the above problems,this paper takes the blood purification medical devices as the specific research object,with blockchain technology to build a distributed multi-node identification analysis system to store the identification source data,to ensure that the identification source data will not have tampered,to ensure that the identification analysis can be completed correctly1.Research and design a blood purification medical device identification resolution system architecture based on blockchain technology.Taking advantage of the decentralized characteristics of blockchain,a distributed multi-node identification analysis system is constructed.Through the identification analysis system,the registration and analysis of the identification coding data of medical devices and the tamper-proof of the identification source data can be realized.2.A single pattern matching identification resolution algorithm based on suffix tree is proposed.Taking the identification of blood purification medical devices as the object,this thesis summarized the characteristics of GS1,AHM,and MA three coding structures,and proposed a single pattern identification resolution algorithm based on suffix tree,which completed the identification resolution through pattern matching and realized accurate and approximate matching of the identification.3.Aiming at three kinds of heterogeneous medical device identifiers,an identification similarity measurement method based on text similarity is proposed to realize the classification of heterogeneous identifiers.The identification classification algorithm is added based on the identification resolution algorithm of single pattern matching based on suffix tree,and the similarity between heterogeneous identifiers is calculated by text similarity,and the identification is classified by calculating the similarity between the identifiers,which effectively reduces the matching space and realizes the identification fast resolution.4.A distributed multi-node identification analysis experimental verification platform was built based on blockchain technology,and the algorithm was applied in the identification analysis system,and the performance of the algorithm and the overall performance of the system was verified by the software testing method.According to the analysis of the experimental results,the architecture of the identification and resolution system for blood purification medical devices designed in this thesis based on blockchain technology has certain practical value,and it also verifies that the identification and resolution algorithm designed in this thesis has a good effect in practical application.