Xinhai Intelligent Mine-wide Mining Control System automates the mining value chain by integrating IoT, big data, AI, digital twins, and automation technologies. It streamlines operations such as geological modeling, production planning, drilling, safety monitoring, and equipment management.
The system establishes a closed-loop management framework of Sense – Analyze – Decide – Execute – Optimize. It enables real-time operational awareness, dynamic production optimization, intelligent equipment coordination, and proactive risk warning. As a result, mines transition from experience-based management to data-driven operations and from manual decision-making to intelligent decision support.
Xinhai Intelligent Hoisting and Transportation System automates mine hoisting, belt conveying, and rail haulage through integrated PLC control, IoT sensing, precise positioning, and industrial communication. Its three-layer architecture connects the surface control center, underground substations, and field equipment, enabling remote operation, reduced manpower, safer transportation, and unmanned operation where applicable.
The Intelligent Underground Dewatering System uses a three-layer architecture with PLC/DCS-based control to automate pump operation, multi-stage drainage, remote monitoring, optimized scheduling, and fault warning, enabling safe, efficient, and unattended underground pump station operation.
The Intelligent Underground Ventilation System integrates intelligent sensing, decision-making, and control to optimize mine-wide ventilation. It monitors ventilation conditions in real time, automatically adjusts airflow based on production demand, and supports emergency ventilation control, improving safety, energy efficiency, and operational reliability.
The Intelligent Underground Ore Handling and Crushing System automates ore feeding, primary crushing, and transfer through centralized supervisory control, local PLC control, and fully interlocked process automation. By integrating ore level monitoring, crusher capacity control, belt conveying, and the main shaft hoisting system, it enables safe, efficient, and unattended underground ore handling.
The Intelligent Underground Backfill System combines centralized supervisory control with distributed PLC control to automate the entire backfill process, from slurry preparation and transportation to underground paste filling. It supports one-click operation, dynamic process control, automatic pipeline cleaning, and seamless integration with the mine-wide DCS platform, enabling continuous, efficient, and unattended backfill operations.
The Intelligent Mining Equipment and Control System centrally connects intelligent drilling rigs, remote-controlled excavators, autonomous haulage vehicles, intelligent mining equipment, and mineral processing systems into a unified control platform. It enables remote operation, fleet coordination, predictive maintenance, and full lifecycle equipment management, supporting autonomous mining from drilling and hauling to crushing and mineral processing.
The Intelligent Open-pit Mining Solution integrates digital twins, intelligent equipment, the Industrial Internet, and AI technologies across the core processes of mining, hauling, dumping, and dispatching. It enables real-time monitoring, intelligent dispatching, and collaborative optimization, supporting safer, more autonomous, and efficient open-pit mining operations.
The Intelligent Open-pit Dispatching System integrates digital mining, high-precision positioning, GIS, IoT, big data, AI, and autonomous driving technologies to coordinate material flow, equipment, and personnel on a unified production platform. It enables precise mining, intelligent fleet dispatching, safer operations, and lean production management.
The Intelligent Underground Mining Solution integrates digital twins, intelligent equipment, automation, AI decision-making, and the Industrial Internet across mining, development, transportation, backfilling, and ventilation processes. It enables safer, more autonomous, and more efficient underground mining operations with reduced workforce requirements.
The Intelligent Underground Dispatching System integrates geological databases, 3D orebody models, survey data, and production information to create a transparent geological management system that covers exploration, mine design, and mining operations. It enables digital visualization of resources and production activities, providing accurate decision support for high-precision underground mining.
Build a mine-wide 3D digital twin to visualize open pits, underground workings, and processing facilities. The system synchronizes equipment, geological, and monitoring data in real time to support mining simulation, planning, and risk analysis.
Integrate geological, production, equipment, safety, processing, and energy data through standardized interfaces to enable seamless data sharing and unified management across the mining process.
Apply AI models to optimize production scheduling, blast design, ventilation analysis, ore blending, equipment diagnosis, and geological hazard prediction, providing intelligent decision-making support for mine operations.
Combine underground industrial networks with 4G/5G private communication networks to ensure reliable, low-latency data transmission for remote control, real-time monitoring, and intelligent mining applications.
Adopt a three-level control architecture integrating edge control, centralized coordination, and cloud-based analytics to ensure stable, continuous, and efficient system operation.
Identify geological, equipment, operational, and environmental risks through intelligent monitoring and analysis, enabling early warning and proactive risk prevention for safer mine operations.
Reduce risks in high-risk mining areas through intelligent automation and proactive safety warnings, minimizing the likelihood of injuries, slope failures, gas incidents, and water inrush.
Coordinate mining, development, hauling, backfilling, ventilation, and mineral processing through intelligent automation, improving overall production efficiency by 20–35%.
Combine transparent geological modeling with intelligent ore blending to improve mining accuracy, reduce ore loss and dilution, and increase mineral recovery by 10–18%.
Optimize ventilation, dewatering, transportation, and equipment maintenance to reduce energy consumption, downtime, and overall operating costs.
Enable automated data collection, intelligent reporting, and visual production management to support digital control of production, safety, costs, and resources.
Connect mining and processing operations through a unified digital workflow to match ore quality with plant capacity, stabilize beneficiation performance, and improve concentrate output.