开迈斯首席技术官陈思介绍，开迈斯秉持家族化产品战略，将以高辨识度视觉资产构建产品差异化优势。目前，开迈斯已构建起3.5kW至兆瓦级液冷超 充的全系产品矩阵，场景版图覆盖家庭、社区、商场及长途、高速沿路，既能深度适配家庭能源自治需求，也可满足公共出行补能场景，以全维度产品布局 为用户提供高品质充电服务。开迈斯产品研发部总监段苏楠强调，开迈斯在技术研发方面的纵深发展与全场景产品矩阵的战略布局，展现出开迈斯从 充电服务商向智慧能源生态构建者进阶的决心。 针对新能源重卡补能难题，开迈斯推出1.6兆瓦重卡超充终端解决方案，实现"充电5分钟，续航500公里"的突破性充电体验。该方案不仅满足极端场景 下的大功率充电需求，还通过智能调度平衡效率与经济性，为新能源重卡从"示范应用"迈向"规模化落地"提供关键技术支撑。 锚定未来生态，开迈斯V2G 充电产品、兆瓦级超充产品、自动充电系列产品"三箭齐发"，构建起"高效补能+智能交互+优质体验"的产品生态链。智慧 能源管理平台，逐步打通虚拟电厂、智能微网与电力交易体系的协同链路，助力清洁能源高效利用。 随着新能源汽车保有量的快速增长，充电基础设施的作用越来越重要。经过多年积累，背靠车 ...

Core Viewpoint - The energy industry's digital transformation is both a challenge and an opportunity driven by the "dual carbon" goals and the wave of digitalization, necessitating a deep integration of energy and digital technologies [1] Group 1: Opportunities in Energy Industry Digital Transformation - Continuous policy support is evident, with the "14th Five-Year Plan for Modern Energy System" emphasizing the acceleration of digital and intelligent upgrades in the energy sector [2] - The "dual carbon" goals require significant changes in the economic and social systems, positioning the energy sector as a key player in achieving these targets through digital transformation [3] - The rapid development of the digital industry over the past decade provides essential technological support for the energy sector's digital transformation, facilitating new business models and sustainable development [4] Group 2: Challenges in Energy Digital Transformation - The energy sector faces severe challenges related to digital security and privacy protection, as the digitalization process generates sensitive data that must be safeguarded to prevent leaks and ensure operational safety [5] - There are complexities in achieving unified technical standards and data sharing within the energy sector, which involves numerous hardware and information systems [6] - A shortage of skilled professionals who possess both energy expertise and digital technology knowledge hampers the digital transformation process in the energy industry [8] Group 3: Digital Transformation Scenarios in Energy Industry - Smart production can be achieved through digitalization, enhancing precision in energy production and optimizing resource utilization [9] - Digital technologies can enhance energy management services and analyze consumer behavior through data collection at the consumption end [10] - Smart grids serve as the core infrastructure for digital transmission and distribution, improving efficiency and monitoring capabilities [11] - Digital technologies can optimize operational processes and monitor carbon emissions in real-time, supporting regulatory frameworks [12] - The integration of digital technologies fosters new business models and resource-sharing practices, optimizing energy resource utilization [13]

Core Viewpoint - The Digital China Innovation Competition's Energy Big Data Application Contest aims to drive innovation in the energy sector through data-driven solutions, focusing on the digital transformation needs of the industry [3][5]. Group 1: Event Overview - The final of the Energy Big Data Application Contest took place on April 28 in Fuzhou, Fujian [1]. - The contest is a key part of the Digital China Construction Summit, emphasizing the theme "Data-Driven, Integrated Innovation - Building a Smart Future Together" [3]. Group 2: Competition Details - The competition included algorithm and solution contests, with topics such as "AI-based Water Condition Forecasting for the Minjiang River" and applications of power big data in new power system construction and carbon emission monitoring [3][5]. - A total of 7,315 teams registered for the competition, setting a record for participation [5]. Group 3: Awards and Recognition - The first prize in the algorithm contest was awarded to the team from the University of Electronic Science and Technology for their AI-based water condition forecasting model [5]. - The first prizes in the solution contest were awarded to teams from State Grid Zhejiang Tongxiang Power Supply Company and State Grid Xinjiang Kashgar Power Supply Company for their projects on power big data and carbon emission monitoring [5]. Group 4: Expert Contributions - Notable speakers included Shen Weiming, an academician from the Canadian Academy of Engineering, and Guo Qing, a professor from Tsinghua University, who discussed the potential applications of big data and intelligent systems in the energy sector [6].