Intelligent traffic control system for underground mines based on joint scheduling units

In the complex tunnel environments of coal mines, traditional centralized vehicle dispatch systems suffer from inherent problems of high deployment costs and significant response delays due to reliance on standalone controllers; concurrently, existing positioning technologies fail to achieve continuous cross-base-station vehicle tracking while lacking real-time monitoring capabilities for violations such as speeding and red-light running. To address these challenges, a distributed intelligent traffic control system based on joint scheduling units was constructed, the study designs a master base station (integrated with intelligent scheduling algorithms) and multi-slave base station collaborative architecture; the master station actively polls ultra-wideband (UWB) vehicle positioning data from slave stations via TCP/IP protocols, dynamically generating traffic light control commands based on configurable locking and unlocking distance ranges to achieve centralized-controller-free distributed decision-making; supports modular deployment configurations including “master-slave pairs” for straight sections, “master-dual-slave” for T-junctions, and “master-triple-slave” for crossroads, while significantly reducing hardware construction costs through base station reuse technology enabling single stations to serve dual joint scheduling units; the study develops a seamless roaming positioning mechanism utilizing the maximum ranging distance cross-coverage, allowing vehicle cards to synchronously scan neighboring base stations and triggering positioning base station handover when consecutively entering a new station ranging zone three times, thereby eliminating trajectory voids exceeding 10 seconds in traditional solutions; the study establishes a violation recognition model that calculates real-time vehicle speed via UWB ranging displacement differentiation combined with traffic light state machines for dynamic red-light violation detection. Field validation at Shanxi Datong Coal Mine demonstrates that: traffic light control accuracy exceeding 99.3%, speeding detection rate no less than 98.2%, red-light violation recognition reaching 99.1%, and positioning handover time stabilized within 2 seconds in multi-base-station scenarios, fully verifying the excellent performance in dispatch control accuracy, safety supervision comprehensiveness, and positioning continuity of the system.