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建筑矿山设备工厂如何应用MyEMS开源能源云平台
Sou Hu Cai Jing· 2025-06-23 05:57
Group 1 - The company is a global leader in mining and infrastructure technology, providing a wide range of mining and construction equipment, technology, and services aimed at improving production efficiency, reducing operational costs, and ensuring safe operations [1][3]. - The company established its first factory in Nanjing in 1993, focusing on the research, production, and sales of various surface drilling equipment, underground mining equipment, and loaders [2][3]. - In 2022, the company transferred all production capacity from Yokohama, Japan, to Nanjing, reinforcing Nanjing's position as its Asia-Pacific manufacturing and R&D center [2][3]. Group 2 - The Nanjing factory produces underground drilling equipment, surface drilling rigs, and loaders, with the underground drilling equipment's bucket lift height and lifting force being industry-leading [3]. - The company has expanded its product offerings from one product in 1993 to over 40 products and digital solutions, including high-value products like electric loaders and surface drilling rigs [3][25]. - The company has implemented a local brand specifically designed for the Chinese market, further deepening its "In China, For China" strategy [2][3]. Group 3 - MyEMS, an open-source energy management system, supports energy data collection, analysis, and reporting for various sectors, including buildings and factories, and is designed to assist enterprises in low-carbon development [2][25]. - The system enables real-time energy consumption monitoring and data transparency, covering high-energy-consuming equipment such as production lines and central air conditioning [25][27]. - MyEMS integrates multiple energy types, including electricity, gas, and steam, breaking the limitations of traditional single-energy management [25][27]. Group 4 - The implementation of MyEMS has led to a 15% reduction in energy consumption at the equipment level, resulting in annual electricity cost savings exceeding 500,000 yuan, while carbon emission intensity decreased by 12% [30][31]. - The system supports the integration of renewable energy sources, optimizing the use of photovoltaic and energy storage systems, and increasing the factory's energy self-sufficiency rate to 30% [31][27]. - Future plans include AI-driven energy efficiency models and predictive maintenance to further enhance equipment lifespan and reduce maintenance costs [28][29].