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SCLEAD has accumulated a lot of research and development experience in nondestructive testing,optical image, intelligent control, artificial intelligence and big data analysis.
Focusing on the core of "operation, management and maintenance" of railway, and taking the three elements of "labor, cost and material" as the main line, SCLEAD applies modern sensor technology, network technology, virtualization technology, big data technology, artificial intelligence (AI), Internet of Things and other advanced information technologies, together with existing products and management system to create a new intelligent operation and maintenance system.
SCLEAD's goal is to build a digital factory, improve the maintenance quality of railway, enhance railway safe operation and keep sustainable development.
SCLEAD applies IOT+, intelligent monitoring, big data and new generation information technology to build an all-round safety guarantee system for train intelligent application, so as to realize real-time analysis of train on-board data, remote state monitoring, online fault diagnosis and dispatching intelligent decision-making. It is applicable for EMU, locomotive, urban rail transit and other application scenarios.
With intellisense, expert diagnosis, data mining, feature analysis, intelligent decision-making and other means, SCLEAD carries out train detection and maintenance plan, process, data, analysis, diagnosis and decision-making management, constructs a closed-loop system with traceability for the whole service life of the train, and realizes the refinement, process automation and intelligent management of maintenance operations around different maintenance processes, which is applicable to the maintenance workshop of EMU, locomotive adn urban rail transit.
SCLEAD applies the technologies of all-round state-aware, video monitoring, performance diagnosis, fault prediction and health management (PHM) to realize the self sensing, self diagnosis and self decision-making of railway intelligent equipment. Build a new generation of intelligent maintenance equipment monitoring system, realize the fine management and optimal configuration of intelligent equipment in the whole life cycle, and maintain the best use state and performance of equipment. .It is suitable for intelligent monitoring of EMU, locomotive, urban rail transit and other applications.
Intellisense, intelligent monitoring, behavior recognition, intelligent video, accident prediction and multi-dimensional analysis are adopted to realize intelligent dispatching, intelligent evaluation, intelligent training, intelligent storage, intelligent distribution, intelligent configuration and intelligent procurement. All efforts are made to build an integrated intelligent management system for operation and maintenance, which is uesd to improve the safety of train operation. It is suitable for intelligent operation and maintenance workshop of EMU, locomotive, urban rail transit.