PRIVATE 5G LAN ARCHITECTURE FOR INDUSTRIAL IOT SURVEILLANCE IN SUBSURFACE MINING

Qifan Shen; Qirong Shen; Lei Sun; Sihan Shen; Yutong Ye; Muhammad Wahab Hanif

doi:10.71146/kjmr1008

Authors

Qifan Shen Foretek Smart Technology (Zhejiang) Co., Ltd. Shaoxing, Zhejiang Province, 312030, China. Author
Qirong Shen Foretek Smart Technology (Zhejiang) Co., Ltd. Shaoxing, Zhejiang Province, 312030, China. Author
Lei Sun Foretek Smart Technology (Zhejiang) Co., Ltd. Shaoxing, Zhejiang Province, 312030, China. Author
Sihan Shen Foretek Smart Technology (Zhejiang) Co., Ltd. Shaoxing, Zhejiang Province, 312030, China. Author
Yutong Ye Foretek Smart Technology (Zhejiang) Co., Ltd. Shaoxing, Zhejiang Province, 312030, China. Author
Muhammad Wahab Hanif Foretek Smart Technology (Zhejiang) Co., Ltd. Shaoxing, Zhejiang Province, 312030, China. Author

DOI:

https://doi.org/10.71146/kjmr1008

Keywords:

5G Private Network, Internet of Things (IoT), Mine Remote Monitoring, Multi-Source Data Fusion, Depth Network Slicing

Abstract

To address the high transmission latency, low multi-source data fusion efficiency, and difficulty of managing widely distributed terminal devices in mine remote-monitoring systems, this paper builds an optimized architecture that integrates 5G and the Internet of Things (IoT). The core network is deployed in Standalone Architecture (SA) mode, and 5G network slicing combined with Physical Resource Block (PRB)-level scheduling achieves hard spectrum isolation between public- and private-network traffic. A 100GE industrial ring network together with dual-band (2.6 GHz and 700 MHz) base stations provides coordinated coverage of the underground work area, and a multi-source heterogeneous data fusion algorithm combining the 3σ criterion with a dual-threshold identification method is designed to improve data quality. Field trial results show that, across underground roadways totaling 36,000 m, the optimized system holds end-to-end transmission latency stably within 25–30 ms, achieves an overall system availability of 98.7%, reduces overall equipment failure rate by 40%, achieves underground personnel positioning accuracy of 5 m, and cuts the fault emergency-response time to 8 min. The measured results fully validate the effectiveness and engineering practicality of optimized architecture.

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