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Solution

Intelligent Maintenance

9.The intelligent maintenance cloud service system uses machine learning based on big data mining technology to conduct equipment fault diagnosis and health management on the ground industrial railway signal control and intelligent dispatching products and the mine underground narrow gauge signal control and intelligent dispatching products built by the company in the fields of mining, metallurgy, port, petrochemical and electric power by building an intelligent maintenance cloud service platform in gocom. The system collects the detailed operation status of each system in real time, establishes a big data analysis platform, monitors the health status of the system using in real-time, and provides the industrial railway system intelligent maintenance cloud service to users across the country, provides the system health analysis query service to users across the country, analyses and predicts the potential faults of the user's system, reminding the user to carry out preventive maintenance. In case of failure, it can quickly conduct online analysis and diagnosis, solve the problem in time, and repair the system in time to resume normal operation. All of them can give full play to the user's utility. At the same time, the service system can conduct data mining in the big data platform, excavate the design defects of the original product, form improvement suggestions, provide data support for later product upgrading, and promote product improvement.
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Description
Product Features

 

System Health Analysis Query Big data cloud storage
Analysis and prediction of hidden trouble Unified monitoring and management of equipment
On line fault analysis and diagnosis Automatic reminder service
Data mining of equipment fault and degradation characteristics Collection of equipment maintenance information
Equipment improvement data mining Infinite expansion
Data security function  
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Success cases

 HJ08
 HJ08
 宝钢集团某海外工程
 马鞍山钢铁股份有限公司
 上海宝钢梅山钢铁公司
 凌源钢铁股份有限公司
 贵溪冶炼厂
 合肥地铁2号线
 茶卡旅游小火车专线

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