近日，中国化学工程所属中国五环工程有限公司自主研发的"第二代高效合成、低能耗尿素工艺技术"通过了中国石油和化学工业联合会组织的科技成果鉴 定。鉴定委员会一致认为，该技术创新性强，拥有完全自主知识产权，整体技术达到国际领先水平。 该公司研发的新一代全冷凝反应器与新型高压圈工艺流程，在国际上率先实现尿素合成两步反应在各自最优工艺条件下进行，合成转化率显著提升，蒸汽 消耗与循环水消耗大幅降低，从根本上破除了传统尿素装置的能耗瓶颈。基于该技术建设的安徽昊源化工集团有限公司70万吨/年尿素装置，在72小时现 场考核中运行指标优于设计值，单位尿素产品的2.5MPaG饱和蒸汽消耗降低到562.9千克，达到行业先进水平。 目前，第二代高效合成、低能耗尿素工艺技术已在国内外推广30余套，产能超过2500万吨/年，还先后获得湖北省专利金奖、氮肥工业协会技术进步奖一 等奖等，并获得国家授权专利22项，其中发明专利7项。 中国石油和化工是《中国石油和化工》杂志社官方微信公众号。《中国石油和化工》是由中国石油和化学工业联合会主管、主办的国家级行业期刊， 以"立足行业、专业报道、独家见解"为宗旨，致力于以专业化、市场化、国际化视角报道石 ...

Core Viewpoint - The article discusses the development of an ultra-low power AI image generator based on optical methods, which significantly reduces energy consumption compared to traditional AI models [1][3]. Group 1: Technology Overview - The optical generative model is inspired by diffusion models and operates by generating static noise through a digital encoder, which consumes minimal energy [2][11]. - The system utilizes a spatial light modulator (SLM) to imprint the noise pattern onto a laser beam, which is then decoded into the final image by a second SLM [2][3]. - Unlike traditional AI that relies on millions of computational operations, this optical system performs all core tasks using light, resulting in almost no energy consumption [3][11]. Group 2: Applications and Potential - The technology has broad application prospects, including generating images and videos for VR and AR displays, as well as for wearable devices like smartphones and AI glasses [6][9]. - The optical generative model can produce monochrome or color images based on target data distributions, showcasing its versatility [11][12]. Group 3: Experimental Results - Initial experiments using the MNIST and Fashion-MNIST datasets achieved FID scores of 131.08 and 180.57, respectively, indicating that the generated images align well with the target distributions [22]. - High-resolution experiments for generating Van Gogh-style artworks demonstrated the model's capability to produce both monochrome and color images with excellent quality [24][28].