破解AI规模化落地难题，专访日照高新区广丰人工智能公司谢宗震

Core Insights - The article discusses the advancements and challenges in the industrial AI sector, particularly focusing on the efforts of Guangfeng Artificial Intelligence Technology (Shandong) Co., Ltd in providing practical AI solutions for heavy industries [1][3]. Group 1: Company Overview - Guangfeng AI is dedicated to the industrial AI field, providing solutions that support production decision-making through continuous data flow from various industrial processes [1]. - The company has developed a core technology system that emphasizes stability, maintainability, and interpretability, rather than complex models and high computational power [3]. Group 2: Technology and Solutions - The company’s technology pillars include process modeling, equipment anomaly warning, and production energy consumption control, which have been refined through years of practical project experience [3][5]. - Guangfeng AI's proprietary systems for equipment fault warning and energy consumption control have received national software copyright, ensuring legal protection for their technological achievements [3]. Group 3: Implementation Strategy - The company adopts a "localized deployment + modular design" approach, ensuring that its technology is integrated into industrial sites rather than being developed in isolation [5]. - The technology effectively merges process language with data language, allowing for dynamic modeling that aligns AI decisions with real-world industrial practices [5]. Group 4: Industry Trends - The development of industrial AI is seen as progressing through three phases: demonstration application, scale replication, and the formation of industry paradigms [6]. - The company is exploring pathways for energy monitoring and intelligent energy-saving solutions in line with the deepening ESG (Environmental, Social, and Governance) principles [6]. Group 5: Future Outlook - The company aims for AI to become an integral part of the industrial system, facilitating quality transformation and efficiency improvements in Chinese manufacturing [6].