智能矿山如何从“提速”走向“提质”

Core Viewpoint - The article emphasizes the transition of mining from "intelligent" to "wisdom" through the integration of AI technologies, enhancing the understanding of logical relationships and enabling autonomous reasoning beyond existing data limitations [1][11]. Group 1: Technological Advancements - A range of new technologies and equipment focusing on intelligent coal mining, green low-carbon transformation, and efficient utilization were showcased at the recent China International Coal Mining Technology Exchange and Equipment Exhibition [2]. - The intelligent equipment has significantly improved the industry's landscape, with China's comprehensive mining, tunneling, and transportation equipment now leading globally [4]. - Major advancements in intelligent mining have been achieved, including the establishment of the world's first 8.8-meter ultra-high intelligent working face and the production efficiency increase of 16.7% in thin coal seam operations [4]. Group 2: Current State and Challenges - As of April this year, there are 1,806 intelligent mining working faces across 907 coal mines, with intelligent mining capacity exceeding 50% [4]. - Despite progress, the coal mining industry faces challenges such as uneven construction progress, unstable foundations, and low operational levels, with high-grade intelligent working faces operating below 60% of the time [6]. Group 3: Human-Machine Collaboration - The fundamental goal of mining intelligence is to reduce personnel, enhance safety, and improve efficiency, but current intelligent equipment faces reliability and data interaction issues [8]. - Human-machine collaboration is seen as a viable solution to enhance operational reliability, combining geological data and intelligent equipment [9]. Group 4: AI Integration - AI is leading a new trend in the mining industry, enabling deeper integration of artificial intelligence across production processes [11]. - The application of AI in risk management has resulted in significant safety improvements, with a 92% reduction in the death rate per million tons and a 40% increase in employee efficiency [11]. - Future developments in AI and embodied intelligence are expected to transform traditional mining equipment into autonomous intelligent agents capable of decision-making and operational execution [12].