基于状态的维护——“不可或缺”的传感器技术
技术
- 分析与建模 - 预测分析
- 功能应用 - 远程监控系统
- 传感器 - 化学传感器
适用行业
- 化学品
适用功能
- 维护
用例
- 预测性维护
挑战
在公司位于冈山附近的水岛工厂，强酸中和过程中的 pH 值测量受到严密监控。对于这项重要的测量，工厂仪表和工程部的工程师 Tsutomu Ishikawa 和 Naoto Ogura 对他们使用的 pH 传感器的性能并不满意。
出于这个原因，工厂定期更换传感器，以尽量减少过程中出现故障的机会。但运营成本很高，石川先生和小仓先生需要更好的解决方案。具体来说，他们需要提前知道何时需要清洁、校准或更换 pH 传感器：“我们想了解 pH 传感器上形成的沉积物将如何影响传感器维护和更换的时间。”
客户
三菱化学株式会社
关于客户
三菱化学公司 (MCC) 是日本最大的化学品制造商。其产品范围涵盖工业化学品、石化产品、溶剂、甲基丙烯酸甲酯和丙烯腈。中冶亚克力树脂市场占有率全球第一
解决方案
智能传感器管理 (ISM®) 正是提供了这种能力。通过持续监控过程条件、传感器斜率和参考系统阻抗值，ISM pH 传感器可以预测其剩余寿命以及何时应执行校准和清洁。此外，ISM 的预测诊断工具（显示在连接的变送器上）是动态的，因此随着过程和传感器条件的变化，诊断会重新调整。
为了在工厂测试 ISM，在中和设备上安装了两个由 InPro® 4260i 传感器和 M400 变送器组成的 pH 测量系统。梅特勒-托利多解决方案运行良好，另外安装了 ISM pH 系统来监测有机溶剂。
运营影响
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