摘要: |
As the adoption of artificial intelligence-based technology sweeps across various industrial sectors, concerns have surfaced about the potential displacement of human labour and professional expertise. In response, Ma-estro is championing Al-driven innovation as a means of bucking the trend, placing people back at the core of the quarrying sector with tools designed to enhance and improve human labour rather than supplant it. Ma-estro's new tool, Q-PILOT, is born out of this conviction, capturing the evolution of automation in crushing and inert recycling plants. This self-learning system monitors daily plant operations, providing operators with strategic guidance and support in making complex decisions that optimise the production cycle to its maximum potential. By gathering comprehensive data related to sustainability and environmental impact monitoring, Q-PILOT enables operators in the quarrying sector to not only enhance efficiency but also cultivate a more sustainable and environmentally aware approach to their operations. |