灯塔工厂项目：数字化和预测性维护
技术
- 分析与建模 - 数字孪生/模拟
- 分析与建模 - 机器学习
- 自动化与控制 - 可编程逻辑控制器 (PLC)
- 功能应用 - 企业资源规划系统 (ERP)
适用行业
- 设备与机械
适用功能
- 离散制造
用例
- 数字孪生
- 机器状态监测
- 预测性维护
客户
安萨尔多能源公司
关于客户
安萨尔多能源公司
Ansaldo Energia 在 90 多个国家/地区安装了超过 175,000 兆瓦的电力，拥有约 3,500 名员工，是意大利最大的公司，也是世界上发电系统和组件的供应、更新和服务的主要地区之一，以及能源领域技术和创新能力的最佳体现之一。
它成立于 1853 年，是 Finmeccanica 集团的一家公司，能够利用自己的技术和自己的设计、施工、调试和协助的综合资源来建造交钥匙电厂。
拥有三个产品线：燃气轮机、蒸汽轮机和发电机，均以先进的技术为特征，综合满足客户在效率、可靠性和环境影响方面最复杂的需求。
挑战
Alleantia 是 Ansaldo Energia 灯塔工厂项目的合作伙伴之一，该项目是意大利唯一一家与意大利公司相关的项目，该项目将投资 1400 万欧元用于基于工业 4.0 计划主要数字技术的三年工业研发计划。该项目将影响热那亚两个 Ansaldo Energia 生产基地的整个制造过程，其中 Alleantia 在机器互连方法方面发挥了重要作用。
解决方案
Alleantia 制造的机器的数据收集允许将信息传递到 SAP Leonardo 平台，并提供允许米兰理工学院研究定义物理机器数字孪生模型的信息，从而精确识别一系列机器的关键部件以及这些值得监测的一系列临床变量，可以让一些机器和学习算法向系统提供反馈，即机器本身的故障或产品质量漂移信息足以向操作员提供重要信息并防止机器停机和故障问题。
收集的数据
Machine Performance
运营影响
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