Saipem在其钻探舰上启动了一个AI驱动系统,以预测设备故障,减少停机时间,并利用实时数据和机器学习提高安全性。 Saipem launched an AI-driven system on its drillship to predict equipment failures, cut downtime, and boost safety using real-time data and machine learning.

Saipem在其赛佩姆2000号钻探舰上启动了一个AI动力预测维护系统,成为其机队中第一个使用实时数据和机器学习来预测设备故障、减少停机时间和改善安全性的机队。 Saipem has launched an AI-powered predictive maintenance system on its Saipem 12000 drillship, becoming the first in its fleet to use real-time data and machine learning to anticipate equipment failures, reduce downtime, and improve safety. 该系统是与ADC Energy开发的,能够及早发现异常现象并进行有针对性的维护。 Developed with ADC Energy, the system enables early anomaly detection and targeted maintenance. 使用IoT传感器和BIP模型测试的赛佩姆7000起重船柴油发电机的类似项目也即将完成。 A similar project for diesel generators on the Saipem 7000 crane vessel, using IoT sensors and models from BIP, is set for testing soon. 这些举措是赛佩姆更广泛推动将数字技术融入其离岸业务的一部分。 These initiatives are part of Saipem’s broader push to integrate digital technologies across its offshore operations.