高管致辞：聚焦工业AI关键，共绘智能化蓝图 近日，由招商证券主办的"相伴成长 共赢未来"走进上市公司深度调研系列活动，走进了全国工业AI龙 头——中控技术股份有限公司（简称"中控技术"，688777.SH）。作为从工业自动化率先迈向工业AI转 型的行业先锋，中控技术已在多个大型化工企业成功落地商业案例，展现出工业AI在实际生产场景中 的深度应用与价值创造。本次活动通过高管对话、业务分享、展厅参观与互动交流等形式，向投资者生 动呈现了中控技术在工业AI领域的突破性成果与创新实力，进一步彰显其在推动智能制造升级中的重 要角色。 据介绍，中控技术推出的全球首款通用控制系统（UCS）采用了颠覆性的架构，能将传统机柜空间缩减 90%，建设周期缩短50%。与此同时，公司自主研发的全球首个流程工业时间序列大模型（TPT），如 同工厂的"数字大脑"，能够精准地优化全厂运行。 深度互动：工业AI驱动增长，解码成长逻辑与全球布局 活动伊始，招商证券杭州天目山营业部总经理齐亚宁与中控技术董事长兼总裁崔山分别发表致辞。齐亚 宁表示，本次调研聚焦工业智能化前沿实践，期望引导投资者穿透表象、直抵企业核心价值，通过与管 理层的深度交流，助 ...

Core Insights - The Chinese petrochemical industry has achieved a significant breakthrough in industrial artificial intelligence (AI), marking a transition from automation to autonomous operation with the development of the world's first fully autonomous operation factory system (FAOP) by Zhongkong Technology [1][2] Group 1: FAOP Implementation - FAOP has been successfully implemented at Hubei Xingrui Silicon Materials Co., Ltd., a subsidiary of Xingfa Group, which can autonomously sense anomalies, analyze decisions, and execute precise controls in the complex chlor-alkali production process [1] - The application of FAOP is projected to enhance overall production efficiency by 1% to 3% [1] Group 2: Technical Framework - FAOP is based on the deep collaboration of Zhongkong Technology's time series large model (TPT) and universal control system (UCS), where TPT acts as the "smart brain" and UCS serves as the "nervous system" [2] - The system's architecture includes a perception layer for data collection, a recognition layer for data analysis, a decision layer for strategy generation, and an execution layer for command dispatching, creating a complete autonomous operation loop without human intervention [2] Group 3: Workforce Impact - The implementation of FAOP has reduced the workforce from 260 to 80, with FAOP becoming an essential "81st employee" in the production team [2] - The transition to autonomous operation has allowed employees to shift from on-site operations to more valuable innovation tasks, enhancing overall productivity [2] Group 4: Future Outlook - The future vision for intelligent factories involves AI taking over the entire production process, allowing factories to adapt autonomously to market and process fluctuations while humans focus on innovation in new materials, processes, and models [2]