Smart Mining

The mining environment is complex, including underground mines, high temperatures and pressures, toxic and harmful gases, flammable and explosive substances, which can easily lead to mining accidents, cave-ins, gas explosions, and other safety incidents.

Conventional mining equipment is generally outdated, with a low level of automation, relying heavily on manual labor, the operational efficiency of the equipment is not high, and frequent breakdowns cause production delays, leading to low production efficiency.

Conventional mines lack interoperability between production equipment, management systems, and data systems. Data cannot be integrated and shared in a timely manner, creating “information silos,” which leads to delayed decision-making and disorganized management.

Due to insufficient tools for data collection and analysis, conventional mines find it difficult to perform precise data analysis and optimization for mining, transportation, and ore processing stages, resulting in low overall efficiency and challenges in operation.

Labor costs are increasing, and conventional mining equipment is generally outdated, leading to long maintenance cycles and high repair costs. In Conventional mining methods, energy efficiency is low, and high energy consumption issues are common, leading to consistently high energy costs.

Conventional mining operations generate large amounts of waste, tailings, and dust, which can easily pollute water sources, soil, and air, leading to environmental degradation in the mining area and its surroundings. Additionally, mine drainage and emissions often fail to meet standards, causing ecological damage and environmental burdens.