Internet medical care has brought a lot of convenience to patients. A large number of hospitals have opened a series of services such as online registration, laboratory test, inspection report push, online payment and so on. But so far, domestic Internet medical products have not been able to form a business model of sufficient scale for hospitals, and they have not been able to explore rigid demand in the daily diagnosis of doctors. The medical image data cloud service launched by Beijing Changyuanjia Information Technology Co., Ltd. is trying to break the deadlock and use a unique cloud computing technology to solve a problem that is increasingly plaguing hospitals. Medical imaging diagnosis market is huge, and data volume is growing rapidly Medical imaging examinations play an increasingly important role in the diagnosis process. Public hospital diagnostic revenue is expected to exceed 260 billion yuan in 2016, while single-image inspection revenue accounts for nearly half of the total. The consumables market that matches image inspections is also tens of billions of dollars in size and maintains double-digit annual growth. With the increase of inspection volume and the improvement of image inspection accuracy, hospital storage image data is facing more and more severe challenges. Medical imaging is a professional grayscale image. Such data files are bulky, fragmented, and have a close correlation between layers that individually check hundreds or even thousands of layers. More than half of the hospitals in China have successively purchased PACS systems for the preservation and management of image data. The traditional PACS system database structure and storage architecture have high requirements on servers, storage and other hardware and network environments, and the archiving of large amounts of data has exceeded the support of traditional PACS systems. The storage of image data generally takes several minutes, and the speed at which data is accessed through the system is more unbearable in hospitals. The traditional PACS system has poorer support for concurrent access, and the service imaging department has encountered bottlenecks, and it is even more difficult to provide effective data access support to the clinical department under controlled input. The dilemma of data storage prompted hospitals to seek cloud computing solutions In order to alleviate this dilemma, the hospital is in need of a service model of image cloud computing, which is transformed from software and hardware procurement to service procurement mode. Domestic cloud computing platform service providers, such as Alibaba Cloud, Tencent Cloud, and China Telecom Tianyi Cloud, have also launched IaaS solutions for image storage in the medical industry . However, due to the particularity of medical image archiving management and transmission protocols, cloud computing platform service providers do not have the ability to provide SaaS layer image computing services. At present, the existing image cloud computing products are based on the traditional PACS system architecture. Under the conditions of limited bandwidth resources and computing resources, only a small number of remote diagnostic services can be barely supported, and there is no transmission, storage and access to large-scale image data. Service capabilities. Ffp2 Kn95 Face Mask,Ppf2 Protective Cup Mask,Kn95 Protective Cup Mask,Ppf2 Protective Fold Flat Mask Jiangmen anjian biotechnology co. LTD , https://www.jmanjianmask.com