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法改进的BP神经网络的分类识别准确率更高，达到99.852%，用于实际样品的识别，识别准确率达到100%。实验结果可为植物油的无损快速检验提供一定的参考与借鉴。 In order to realize the fast identification of vegetable oil, attenuated total reflecti
learning algorithm were used to carry out spectral pattern recognition of vegetable oil. The spectral data of 8 kinds of vegetable oil samples were obtained in the experiment. The standard normal variate and the first derivative preprocessing method were used to eliminate the background interference.

原文链接：https://doaj.org/article/644423c6a0cf414189f58aef406d94f0

Emerson and Aramco Deploy AI Solution Aimed at Higher Refinery Yield Volume and Efficiencies
The deployment of AI-driven Aspen Hybrid Models™ helps Aramco achieve yield and quality prediction accuracy of up to 98.5% in key refinery units. Image credit: Aramco. High resolution image
Aspen Hybrid Models measurably improve planning and operational efficiency across global refining operations
BEDFORD, Mass. (April 28, 2026) – Global automation leader Emerson has announced the successful deployment of an AI-driven optimization solution for Aramco, one of the world’s leading integrated energy

原文链接：https://www.emerson.com/en/corporate/news/2026/emerson-aramco-deploy-ai-solution-higher-refinery-yield-volume

Rational design of oil crop-derived protein nanofibrils: An AI-driven solution for process control and functional prediction
Основна інформація
Тип публікації
Журнальна стаття
DOI
10.1016/j.tifs.2026.105898
Видання
2026, Trends in Food Science & Technology, с. 105898
Видавець
Elsevier BV
Автори
Chaoting Wen, Jieyu Wang, Guoyan Liu, Jixian Zhang, Lingjun Tong, Xin Xu
Детальна інформація
Кількість цитувань
0
Кількість джерел у списку літератури
90
Індекс

原文链接：https://ouci.dntb.gov.ua/works/4wn8bxan/

用油智能选型”“智能润滑服务助手”“系统问题运维助手”等一系列智能体的建设。
生产执行配方优化模型便是AI在科研端、制造端应用的典型案例。此前，SP 0W-20汽油机油等品类的产品配方依赖人工试错，一个产品需匹配上百
种原料组合，研发周期在1至2周。该模型解决了这一行业痛点，有效缩短了研发周期，目前已在全公司推广应用。“生产执行配方优化模型可基于原料库存、成本、质量要求自动生成最优配方，几分钟就能完成性能模拟。”润滑油

原文链接：https://www.china5e.com/news/news-1192595-1.html

站点、多时间段优化模型之一。该模型融合了第一性原理、领域知识与定制AI，显著提高了预测精度。在连续催化剂再生和平台装置中的应用，已使产量
测准确率——显著提高产量规模，并提升各种原料、操作条件和生产. 量下的加工质量。
2.通过优化原料混合实现效率提升——多样化原料选择和混合配
能够利用基于严格的第一原理模型并用实际工厂数据校准的数千个收敛模拟案例，创建高度准确的非线性优化。该方法为阿美石油公司提供了一种可扩

原文链接：https://chem.jgvogel.cn/c1593861.shtml

工程中的应用汇报人:XXXCONTENTS目录01
课程引言02
粮油及植物蛋白工程概述03
AI的主要应用场景04
行业实际落地案例05
未来发展趋势分析06
食品专业学生学
习建议课程引言01AI在粮油加工智能化升级中的应用案例解析将围绕中粮集团智能碾米车间等案例，讲解AI如何优化粮油加工全流程。AI赋能植物蛋白提取
率提升的技术路径聚焦双塔食品AI优化大豆蛋白提取工艺，明确掌握AI提效核心方法的目标。AI驱动粮油及植物蛋白产业质量管控的实践方向以益海嘉里AI

原文链接：https://m.renrendoc.com/paper/531769116.html

米”，一家粮油龙头的智造跃迁
大江网 2026-09-21 15:53:55 来源： 编辑：刘彧 作者：
在黄河之滨，一家深耕粮油食品加工多年的龙头企业，刚刚完成一场彻底的生产跃迁。而这场跃迁的背后，是红壹科技大雄云AI OS智能制造方案的
面落地。就在不久前，它的车间里还是另一番景象：质检员只能通过抽检来检验查看大米的缺陷，各工序设备”各自为政”，生产数据靠人工统计、事后补录——ERP管得了订单和账目，却管不了车间里的”一米一世界”。
面对粮油加

原文链接：https://www.jxcn.cn/system/2026/09/21/031251630.shtml

ns, IoT communication, and big data platforms. The review begins by analyzing the global background and driving factors for digital transformation in the edible oil industry. It then focuses on the current state of research in online detection and smart sensing technologies, followed by a review of AI applications in process parameter optimization, equipment predictive maintenance, and quality prediction. Based on this, the development trends of IoT communication networks and identification and resolution technologies are examined. Finally, the role of big data platforms in traceability and de

原文链接：https://ouci.dntb.gov.ua/en/works/7XaQyAeb/

oleic acid had longer shelf life under moderate frying deterioration than oils with 60% or less. This transition toward high-oleic sunflower, soybean, canola, and other oil varieties supports longer fry life, improved shelf stability, and greater suitability for commercial foodservice applications.
AI-Based Refining Controls Optimize Oil Processing
AI-based refining controls are shifting cooking-oil processing from periodic laboratory testing toward faster, data-driven monitoring of oil quality, oxidation, and processing conditions. A 2025 Food Chemistry study using Raman spectroscopy and deep

原文链接：https://straitsresearch.com/report/cooking-oil-market

细化工原料，变废为宝，实现食用油中蜡质的价值跃升，同时从源头解决油品低温返浑难题，为食用油企业开辟新的效益增长点。与会专家一致认为，该技术打通"脱除—提取—精制—高值利用"全链条，对推动我国食用油加工向精细化、高值化、绿色化升级具有重要意义。数智融合，粮安未来。华泰智能装备集团将以本届年会为契机，持续深化产学研协同创新，让每一滴油更安全、更营养、更健康，为保障国家粮食安全贡献坚实的"华泰力量&
本文作者：河南科技报

原文链接：http://m.toutiao.com/group/7700773896156398134/?upstream_biz=VolcEngine