Core Insights - The newly developed big data AI technology for cetane number fitting by Sinopec Sales Company significantly reduces testing time and costs, achieving a prediction accuracy of 95% [1][2] Group 1: Technology Development - Sinopec Sales Company's application technology research institute has developed an AI-based model for predicting cetane number, which can complete the fitting in just 2 minutes, saving 2 hours compared to traditional methods [1] - The technology addresses the limitations of existing cetane number testing methods, which are costly and time-consuming, especially given the limited number of standard cetane number testing machines available [1] Group 2: Cost and Efficiency Benefits - Since its pilot application from June last year, the technology has been used for cetane number testing in 1,168 batches across three companies, resulting in a cost reduction of 1,400 yuan per test and a total savings of 1.6352 million yuan [2] - If fully implemented across 39 oil sales companies in 2024, the technology is expected to save over 10 million yuan annually in testing costs [2]
大数据AI拟合十六烷值技术试点见效