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Automated Predicitive Analytics For Steel/Metals Industry
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
- 自动化与控制 - 可编程逻辑控制器 (PLC)
- 功能应用 - 企业资产管理系统 (EAM)
- 传感器 - 压力传感器
适用行业
- 金属
适用功能
- 维护
用例
- 预测性维护
挑战
要监控的资产:生产钢筋的压线机
客户面临以下挑战:
- 取决于机器的正常运行时间。
- 压实机内的压力缸无法控制压缩和速度,从而导致捆绑线圈出现问题。
- 生产最后阶段出现设备故障导致整线停工,能说是瓶颈吗?
- 未配备传感器以产生数据的关键资产。
客户
未公开
关于客户
一家钢铁制造厂生产建筑级钢筋。每天 24 小时,每周 7 天,废金属被转化为钢铁。该工厂每年生产 11 亿磅用于混凝土的钢筋。足以环绕全球的钢筋
解决方案
结果:
- SORBA-SDC(智能数据收集器)连接到西门子 PLC,收集数月的时间序列数据以分析设备的行为。
- 消除了关键工厂资产的计划外停机时间。
- 提高资产利用率,从而优化或降低资本支出/运营支出成本。
- 最小化成本,但不让 IT 人员参与连接到企业网络。
- SORBA 不需要打开任何防火墙端口。
- 提前 20 天检测到异常情况。将所有潜在问题与工单事件相关联。
- 在一个应用程序中,仅在一个站点就实现了每年超过 100,000 美元的运营节省。
收集的数据
Downtime, Equipment Status, Fault Detection, Machine Performance, Process Procedure
运营影响
数量效益
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