Xin Hua Cai Jing·2025-08-19 03:18Core Insights - The project is a provincial demonstration project focused on "green, low-carbon, digital, and intelligent" principles, with a total investment of approximately 2.437 billion yuan and an expected annual output value exceeding 800 million yuan, generating tax revenue of about 80 million yuan and creating over 1,000 new jobs [1] Group 1: Project Overview - The project covers an area of over 2,200 acres and consists of "one park, one mine, one corridor, and one terminal" [1] - It innovatively transforms traditional transportation equipment into energy recovery devices, utilizing a 10 km conveyor belt system combined with a power generation system to convert gravitational potential energy into electrical energy, achieving an installed capacity of 2,500 kW [1] - The project incorporates a "source-network-load-storage" integrated system with a photovoltaic installed capacity of 3.5 MW, achieving a comprehensive consumption rate of over 84% and an annual total power generation of over 10 million kWh [1] Group 2: Transportation and Operational Efficiency - The project fully promotes electrification in transportation, deploying 18 units of 70-ton pure electric mining trucks and establishing intelligent charging stations, showcasing a model for clean transformation in open-pit mining transportation [2] - Operational data indicates that each electric mining truck can save fuel costs of 625,000 yuan annually compared to traditional diesel vehicles, with a reduction in comprehensive maintenance costs of 625,700 yuan over three years [2] - The project integrates artificial intelligence and IoT technology for full-process intelligent management, enhancing operational efficiency by 80% through automated vehicle recognition and real-time data uploading in the sales process [2] Group 3: Technological Innovation - The project emphasizes core technology independent innovation, utilizing domestically developed GIS software and databases for a digital twin platform, creating a self-controllable digital foundation [3] - The self-developed AI algorithms excel in market demand forecasting and production scheduling optimization, achieving an accuracy rate of over 90% [3] - The systems are deeply adapted to the enterprise's private cloud platform, demonstrating good stability in practical applications and reducing operational and maintenance costs by 40%, providing a safe and controllable technical demonstration for the industry's digital transformation [3]