Cloud Platform

INTELLIGENT CONTROL INTEGRATED MACHINE (CIM)

Adopting a hyper-converged, modular and industrial-grade design concept, the machine realizes the integration of edge hardware such as servers, switches, front end processors (FEPs), storage equipment and programmable logic controllers (PLCs), providing a set of standardized hardware infrastructure platforms that meet computing, switching, storage and expansion requirements. Compared with the traditional edge solution, this product saves about 30% of the use space and energy consumption. It adopts hot plug technology, which is convenient for operation and maintenance and fexible for deployment, and can support solutions such as edge cloud and edge computing.

CLOUD RAIL INTELLIGENT AUTOMATION SYSTEM (CRIAS)

Designed with the cloud-edge-terminal collaboration architecture, based on the autonomous hyper-converged hardware platform and introducing advanced technologies such as cloud computing, big data, microservices and AI, the CRIAS it is an integrated and intensive integrated supervisory control and operation management system for urban rail transit, which realizes the safe operation of urban rail transit in cross-regional, large-scale and multi-business collaboration.

MULTI-CLOUD MANAGEMENT PLATFORM

Via configurable dispatching strategy, the platform realizes unified arrangement, unified operation and maintenance, unified users and unified authority across domains, clusters, vendors and cloud platforms, and has a management and control platform with comprehensive management capabilities of hierarchical authorization, intelligent operation as well as operation and maintenance.

BIG DATA PLATFORM

As a kind of PaaS service, big data platform achieves the aggregation and storage of main data through real-time access and offline access, breaks the business data island, realizes data cleaning and releases data value. Data analysis and mining are realized in combination with services such as algorithm platform, data quality, metadata management and data standards, providing data support for scenarios such as train operation, train management, energy consumption management, smart operation and maintenance, smart station, investment analysis, smart construction and commercial operation. Different requirements of upper application can be met by calling data feature interface and general algorithm interface according to standard process based on scenarios. In the end, the goal of "reducing costs and increasing benefits, enhancing management and control capability, improving service quality and building shared services" will be achieved.