走近大国重器丨智慧电管家探访我国电力行业首个千亿级多模态大模型

Core Viewpoint - The "Guangming Power Model" developed by State Grid Corporation is a significant advancement in the power industry, enhancing operational efficiency and decision-making through artificial intelligence and big data integration [5][20]. Group 1: Model Development and Features - The Guangming Power Model is the first trillion-level multimodal model in China's power industry, covering various applications such as grid planning, operation, equipment management, and customer service since its launch on December 19, 2024 [5][19]. - The model's architecture includes a self-innovated model structure, optimized training methods, and a fully autonomous technical support system, with a parameter scale in the trillions and over 40% of training data sourced from industry-specific data [9][10]. - Compared to baseline models, the Guangming Power Model has improved capabilities in power knowledge memory, multimodal analysis, business logic reasoning, basic numerical calculations, and content generation by an average of 20% [10]. Group 2: Applications and Impact - The model has significantly enhanced the efficiency of power supply service processes, achieving a sevenfold increase in the efficiency of power supply scheme compilation [13]. - In operational scenarios, the model has enabled rapid analysis and decision-making, reducing the time for equipment status assessment from one week to minutes [5][12]. - The model supports intelligent diagnosis and planning across the entire power production chain, contributing to the construction of a new power system and energy framework [17][20]. Group 3: Collaborative Ecosystem - State Grid Corporation is building a collaborative ecosystem around the Guangming Power Model, involving industry units, universities, research institutions, and leading internet companies to share resources and enhance capabilities [19]. - The model has been applied in various innovative scenarios, such as carbon emission management and agricultural electricity forecasting, demonstrating its versatility and impact on different sectors [19][20].