技术
- 分析与建模 - 预测分析
适用功能
- 维护
用例
- 预测性维护
客户
未公开
关于客户
挑战
预测由于结垢导致的热交换器的循环结束 (EOC) 是炼油厂面临的一个持续挑战。主动预测何时需要清洁换热器可以实现基于风险的维护计划和优化处理速率、运营成本和维护成本。在使用 Seeq 之前,工程师必须在电子表格中手动合并数据条目,并在必要时(例如设备停止服务时)花费数小时/天来格式化和过滤内容或删除不相关的数据。
解决方案
使用 Seeq 公式工具代替耗时的电子表格来监控换热器性能,将为工程师节省数周的工作时间,让他们腾出时间来执行其他有价值的公司任务。相同的公式可以应用于许多其他交换器,因此用户可以专注于其他持续改进项目,而不是持续监控许多电子表格。由于改进周转计划和其他改进机会,每年可以节省数百万美元。
收集的数据
Process Data Historian, Heat Exchanger Design Data
运营影响
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