提速48倍！全国首个AI电力评审系统在上海落地

Core Viewpoint - The introduction of an AI-assisted review system is transforming the traditional manual decision-making process in power grid engineering, significantly enhancing efficiency and reducing review times from hours to minutes [4][5][8]. Group 1: AI Implementation and Efficiency - The AI-assisted review system has achieved a leap in efficiency, reducing project pre-review time from hours to minutes, with AI completing tasks in 5 minutes compared to 4 hours for human experts, resulting in a 45% overall efficiency improvement [5][8]. - The system's pre-review module is already in use, while the review module is expected to be widely implemented by the end of 2026, further enhancing efficiency [8][12]. - The AI system has a review point coverage rate of over 85% and an accuracy rate of 90%, with 100% accuracy in tracing compliance with standards [14]. Group 2: Challenges of Traditional Review Process - The traditional review process is characterized by low efficiency, complex professional crossovers, dynamic standards, and inconsistent expert interpretations, leading to lengthy review times of several days to weeks [7][8]. - The manual review process involves extensive document verification and communication, which is alleviated by the AI system's ability to track modifications and streamline communication [7][8]. Group 3: Knowledge Integration and Future Developments - The AI system integrates over 2,000 regulations and management documents, creating a comprehensive knowledge base for power review, which is continuously refined through collaboration between experts and AI [11][18]. - Future developments include expanding the AI's capabilities to cover various engineering projects and enhancing its ability to analyze design drawings through OCR technology [18][19]. - The AI-assisted review system represents a shift from experience-driven to data and intelligence-driven processes in critical infrastructure, marking a significant transformation in the industry [19].