预测性维护
技术
- 分析与建模 - 预测分析
- 分析与建模 - 过程分析
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 功能应用 - 企业资产管理系统 (EAM)
- 基础设施即服务 (IaaS) - 其他
适用行业
- 设备与机械
适用功能
- 维护
用例
- 预测性维护
客户
未公开
关于客户
设备制造商
挑战
制造商正确地专注于提高利润率和增加收入。吸引新客户、销售更多产品和精益实践会有所帮助。然而，随着设备复杂性的提高，设备监控能力也随之提高。制造商现在可以从维护服务中获得收入。预防性维护有其优势，但要真正延长正常运行时间并保持服务水平，就需要预测性维护。无缝的 IoT 和机器传感器数据集成以及低延迟消息传递骨干对于可扩展、快速和可靠的传输至关重要。以亚秒级的速度提供潜在的大量数据是下游活动的关键。 webMethods Integration 以通用消息传递为特色，通过企业级服务总线满足了这一需求，用于机器数据的连接、消息传递、转换和安全性，以进行高级实时分析。
解决方案
Software AG 将物联网 (IoT)、流分析和流程分析带入制造商的集成预测性维护解决方案中。物联网提供直接从设备访问使用和状态数据的途径。流分析结合预测分析来预测机器故障。过程分析，有助于监控和安排现场服务技术人员。最终结果：降低技术人员成本并提高服务水平——使您能够以更低的成本交付更具竞争力的服务合同。
收集的数据
Asset Performance, Machine Performance, Machine Utilization Rate, Total Effective Equipment Performance (TEEP)
运营影响
数量效益
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