自主可控的城轨云与大数据平台 关键技术研究与应用

随着云计算、大数据、物联网、人工智能技术的演进，城市轨道交通由单线运营向网络化运营模式转 变，在新业务模式下建设城市轨道交通云平台与大数据平台，实施互联网战略，推进信息化与智能化，可有效实现 业务管理的标准化，提高运营生产及管理效率，提升运营服务水平，降低运营成本。以智慧城轨发展纲要为指引， 针对当前城轨云与大数据建设、运营实践过程中存在的设施自主可控、数据融合共享、运营安全高效等痛点问题， 深入开展城轨云与大数据云网安全体系、运维管理体系等方面的关键技术研究，形成了自主可控的城轨云与大数据 平台关键技术研究成果，为推动城市轨道交通数字化、智能化、智慧化的转型升级提供参考和借鉴。

Research and Application of Key Technologies for Autonomous and Controllable Urban Rail Cloud and Big Data Platform

With the evolution of cloud computing, big data, Internet of Things, and artificial intelligence technology, the single line operation mode of urban rail transit has changed to a networked operation mode. Under this new business mode, the construction of urban rail transit cloud and big data platforms, implementation of an Internet strategy, and promotion of informatization and intellectualization can effectively realize business management standardization; improve the operation, production, and management efficiency; improve the level of operation services; and reduce operating costs. Guided by the smart urban rail development outline of the Urban Rail Association and pain points of the current construction and operation practices of urban rail clouds and big data, such as independent and controllable facilities, data fusion and sharing, and safe and efficient operation, we conducted an in-depth investigation on the key technologies of urban rail clouds and big data cloud security systems, the operation and maintenance of management system, and determined research results concerning the key technologies for urban rail clouds and big data platforms to be independent and controllable. We provides reference and guidance for promoting the transformation and upgrading of urban rail transit in terms of digitalization and intelligence.