技术
- 分析与建模 - 边缘分析
- 分析与建模 - 预测分析
- 功能应用 - 远程监控系统
- 传感器 - 振动传感器
适用行业
- 农业
适用功能
- 维护
用例
- 预测性维护
客户
印度农民肥料合作社
关于客户
印度农民肥料合作社 (IFFCO),印度最大的复合肥料制造商之一(占全国产量的 29%)。仅 Phulpur 工厂就生产氨和尿素,目前的产量约为 170 万米
挑战
工艺冷凝泵是制造过程中的关键泵之一,每 6 到 12 个月就有一次故障历史。它是一种离心泵,转速为 3000 rpm,排放压力为 28 MPa (400 psi)。该泵每天处于离线状态,给工厂造成高达 145,000 美元的生产损失,并且每次发生故障都需要数万美元来执行计划外的维修。 Nanoprecise Sci Corp 被要求实施预测性维护解决方案,以便及早检测故障并提供可靠的剩余使用寿命 (RUL) 预测。
解决方案
我们提出了 RotationLF 系统,作为全年合同项目的一部分,我们在 7 台设备上安装了无线传感器。
选择 RotationLFsensor 的具体位置来监控:
1)非驱动侧轴承、泵
2)驱动侧轴承、泵
3)驱动侧轴承,电动机
安装后,强大的电池供电无线传感器开始监控泵和电机,并通过使用边缘和云计算的加密和安全网络将数据发送到我们基于 SaaS 的平台。收到数据后,RotationLF 平台使用高度复杂的算法进行数据分析。
安装传感器大约一个月后,系统向 IFFCO 发出警报,指出泵上检测到轴承外圈故障。系统中描述的故障频率表示早期故障。
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