Development Of Medical Equipment Testing Information System Base On Cloud Computing

Medical equipment industry, an emerging high-tech and fast-growing industry, has the characteristics of wider technical field, higher professional requirement and bigger industry span. Therefore, responding medical equipment laboratory also tends to be more comprehensive, complicated and with fine elquipments. Medical equipment testing organization could make effective test data or test report. This is benefit from cutting-edge testing equipment and high level of testing experts, and even modern management level. Establishment of medical equipment testing information platform can standardize laboratory quality system, improve the detection efficiency and reduce operating costs. In this paper, the use of cloud computing technology research data management information platform for medical equipment testing, hoping to cloud computing technology to improve the current level of information.For the data processing issues from medical equipment testing system, distributed storage and parallel mechanisms can improve its efficiency. Based on the Hadoop Distributed File System (F1DFS) and MapReduce being a viable platform of processing for such information currently, the feasibility of the subject is verified in the thesis by theoretical analysis, system design and deployment of practical applications.The main work is as follows:1) The requirements analysis and design of the system are made. According to the requirement of medical device testing system, its goal to design and test the business process analysis, and the overall design of the entire system, and data were stored in HBase table design.2) Designs and deploys a cloud platform architecture. Implemented based on Hadoop cloud computing platform to deploy and configure HBase database, designed under the platform Hadoop Distributed File System (HDFS) and HBase (Hadoop distributed database) applications in medical device testing system.3) Developed medical device testing system on the cloud platform architecture. Users operate different permissions different content, different obtained permission to operate in different sectors of business functions, business processes to achieve detection contract, seized goods information entry, query, delete, seized goods inspection, export data, print, backup and other functions.Using cloud computing, Hadoop, HDFS, Map/Reduce, HBase and other related technologies, medical device testing system is implemented. Based on the business processes, storage virtualization and distributed data storage, the system solved the underlying storage space for waste facilities, load balancing, dynamic backup, live migration and other issues, so that system performance is stable and reliable with high sex, scalability and a good interface.