From April 22 to 24, the 22nd Taiyuan Coal (energy) Industry Technology and Equipment Exhibition was held in Shanxi Puhe International Convention and Exhibition Center. At this exhibition, Ailing and China Unicom Smart Mine Corps (Shanxi) reached a strategic consensus and officially released smart mine solutions to provide assistance for the automation, digitalization and intelligent construction goals of the mining industry.

The industry’s first “Industrial Network Quality Monitoring System”

In the application of smart mine solutions, in view of the challenges such as complex carrying business, passive equipment operation and maintenance, and difficult network security control in the mining industry, Ailing innovatively launched the industry’s first “industrial network quality monitoring system” (hereinafter referred to as “Ailing network monitoring System”), achieving a major breakthrough in different systems, cross-manufacturers, and global network management. Support the unified, centralized and comprehensive operation and maintenance of the global network of different systems and different manufacturers, and improve the initiative and timeliness of industrial network quality monitoring.

DYTP123A  Traditional mining industry is often faced with the problem of cross-system data integration, which makes comprehensive data sharing and decision support particularly difficult, and safety management requirements are difficult to be effectively met. The excellent lightweight design of the Eyling network monitoring system ensures its flexibility and ease of deployment. At the same time, with excellent compatibility, no need to change the network architecture and deployment mode, you can achieve zero code docking, direct fault monitoring, demarcation and positioning, providing the mining industry with a more flexible and smooth, efficient and reliable 5G network quality monitoring solution.

Ailing network monitoring system has the following functional features:
• Unified security management of OICT devices

Manage all network devices and access terminals, and automatically detect and alert devices that do not comply with network regulations or have abnormal service behaviors
• Unified device monitoring

Monitor the operating status of the management equipment and the operating status of the platform itself to achieve full coverage monitoring of the network, industry and end, and three-dimensional monitoring of the entire network security
• Layered network topology rendering, fault location

DYTP123A

Through multidimensional data (alarms, performance, logs, signaling, etc.) analysis, network fault identification bits are rendered on the network topology in real time
• Signaling analysis based on multi-vendor network devices

The whole network link business behavior analysis, including signaling plane, user plane analysis, to achieve multi-vendor fault accurate demarcation
• Predictive analytics based on network quality

Panoramic network health (system, service, network) display, and predict the security running status of service devices based on the network health

Network health degree

Topology monitoring

DYTP123A  In the traditional mining scene, the complex network environment, various equipment manufacturers and strict production safety requirements make the network supervision face a huge challenge. Ai Ling network monitoring system, as a key engine for the digital transformation of the mining industry, helps the traditional mining industry to “transform” from a “network black box” to a visible, manageable and controllable intelligent network to ensure the transparency, efficiency and precision of 5G network operation and maintenance.

Ailing network monitoring system, through the centralized control of cross-manufacturer equipment, greatly simplified the operation and maintenance process; Using advanced fault location technology, network faults can be located quickly and accurately, and the time cost of fault handling can be reduced. The ability to monitor the whole system allows mine managers to understand the network operation status in real time and make timely and effective decisions.