Last week, we shared an article from the MATRIX “Institute” on how to achieve “smart cities” and “smart logistics” through the use of ARTIFICIAL intelligence, big data and blockchain technology. This week, we will continue to share the “industrial Big data Intelligent cloud chain solution”, which is very important in the “Institute” project framework.
The “industrial big data intelligent cloud chain platform” in the solution has been applied in some industrial scenarios. And ‘equipment forecast type health management scheme (PHM) won the national natural science foundation’ major instrument special “based on the physical signals of high-speed train system level analysis instrument, the car group major projects” rail transit equipment failure prediction and health management technology research and application “, the car group major projects “export locomotive remote monitoring and diagnosis system” and so on Support of three major projects.
The platform was born at the right time
If the industrial big data platform or the industrial big data cloud platform has been gradually deployed in China’s industrial production, then the emergence of the industrial big data cloud platform endowed with artificial intelligence and blockchain will further promote the development of industrial intelligent manufacturing and accelerate the transformation of industrial digitalization.
“Industrial Big Data Intelligent Cloud Chain Platform” takes ARTIFICIAL intelligence and big data as the core and takes blockchain as the foundation to provide data and ARTIFICIAL intelligence model ecology and distributed artificial intelligence computing power resources. Among them, the “blockchain intelligent fog computing layer”, as the technical support layer of the platform, includes the core function layer that provides core functions for the platform and the big data cloud storage layer, the industrial big data platform layer that is aimed at enterprise-level massive data processing capacity and high-performance data pre-processing capacity.
As make full use of function of the core layer, artificial intelligence technology, machine learning strategy, based on deep learning network against network, intelligent model generation, model of intelligent management, strategy management and industrial knowledge digital reconstruction system to support data analysis platform for industry, equipment running condition monitoring, fault handling skills and operational optimization. Thus, the blockchain intelligent fog computing layer has formed an ecosystem of big data + artificial intelligence models.
Platform implementation of landing applications, not only rely on excellent technology, has a very high “adaptation” is also one of the characteristics. The platform integrates ERP system, production line management and work order system. Visualization and reporting tools are used to support business processes in actual application scenarios. Third-party system interfaces are set to allow enterprises to access existing systems, reducing the cost of repeated development.
Four core optimized industrial processes
One of the “products” derived from these four core technologies is the remote monitoring system for overseas locomotives, which was implemented in 2018 on the Kenya-Mombasa-Nairobi Railway, Kenya’s first new railway since independence. With the aid of intelligent instrument and remote data center, can realize the real-time track of locomotive running position, the operation of the locomotive in real time fault alarm and fault remote diagnosis functions, such as system in Mongolia railway project is mainly used in monitoring for export car group in Kenya’s 48 scooter, can realize from the component level to the whole management, operation and maintenance optimization of locomotive. At present, the system has been running smoothly for one year.
The other “product” is orbital Equipment Predictive Health Management (PHM). Use of China railway special samples, the world’s most abundant operation, data and experience, with the aid of PHM big data platform of PHM analysis engine, complete track equipment design improvement, optimization of operation and optimization of maintenance, again through the equipment condition assessment of artificial intelligence, complete online early warning of major accidents, parts remaining life estimation and automatic fault diagnosis and maintenance. The “Institute” hopes that the predictive health management scheme (PHM) of rail equipment can greatly improve the efficiency of operation and maintenance, reduce maintenance costs, and support the sustainable development of railway.
China’s Belt and Road initiative was proposed in 2013, with railways providing a foundation for regional connectivity and trade. It is estimated that by 2020, the average annual market size of the post-railway market will reach 200 billion yuan. Among them, the operation and maintenance testing market will reach 50 billion yuan annually. The huge market gives birth to the rapid development of industrial big data platform, equipment maintenance and other technologies. MATRIX “Research Institute” hopes to optimize the existing operation system and jointly apply for research-based projects with the local government and other engineering parties and research institutions. As the artificial intelligence industrial cluster platform of rail transit, it mainly builds an industry-university-research integration platform relying on the unit