预测维护软件

Physical assets such as machinery and equipment are at the core of manufacturing, power generation and many other industries. Without reliable and functional equipment, these industries simply would not exist. Maintaining the longevity and performance of everyday equipment is critical to ensuring that these industries continue to thrive and meet the demands of their consumers.

战略maintenance management涉及在设备故障之前先保持曲线领先。计划外的停机时间可能导致收入和生产力损失,并且采用主动和反应性方法进行维护对于最大程度地减少意外停电至关重要。但是,维护管理是艰苦的工作,可能需要一些高级工具才能正确完成。预测维护软件和其他predictive maintenance toolscan help enterprises across a variety of industries better predict equipment failure and anticipate when maintenance is necessary.


What is predictive maintenance software?

预测维护软件结合了强大的设备监控工具和数据分析,以分析资产性能并预测潜在的设备故障。然后,企业可以使用此信息来制定主动维护策略,以减少计划外的停机时间。预测维护软件没有等到一件设备断裂进行维修,而是通过在潜在设备问题的第一个迹象下安排维护来自动维护过程。

Predictive maintenance software works by using real-time monitoring tools to track equipment performance over time. Predictive maintenance tools such as sensors and gauges monitor any changes in equipment temperature, vibrations or sound to flag potential problems. This information then syncs with the software, which runs预测维护分析to assess equipment performance and determine if a repair is required or if an asset needs to be replaced altogether.


Predictive maintenance for diverse industries

Predictive maintenance software is a valuable tool for a variety of industries, including:

  • Manufacturing- 预测维护软件是smart manufacturing. Using IoT predictive maintenance tools, manufacturers can precisely monitor any changes in equipment conditions and detect early signs of potential failure. Predictive maintenance software can then schedule maintenance accordingly to prevent unplanned downtime and ensure maximum productivity.

  • Transportation- Railway and other transportation industries benefit from predictive maintenance software by ensuring their assets stay up and running for as long as possible. Trains and other vehicles are a costly investment, and predictive maintenance tools can discover underlying issues that may evolve into bigger problems later. Using predictive maintenance software can help avoid unplanned downtime, reduce operating costs and prolong the lifespan of fleet vehicles.

  • 公用事业- 公用事业公司的任务是为成千上万的客户提供服务,设备中断可能会造成巨大后果。预测维护软件集成data analytics for utilitiesto track and analyze asset performance over time. The software can then schedule maintenance at the earliest sign of a possible equipment failure to prevent outages and increase overall business performance.

  • Power generation- Predictive maintenance software can serve as a valuable tool for strategic电厂维护通过监视和分析随着时间的推移的关键资产的绩效。使用预测性维护工具(例如设备传感器),发电厂可以深入了解资产条件,并根据需要进行维护以避免中断。

Predictive maintenance software helps companies take a proactive approach to maintenance to increase uptime, boost revenue and optimize asset performance. By capitalizing on the power of data analytics and predictive maintenance tools, enterprises can work smarter and more strategically to satisfy their customers and meet their revenue goals.


FAQs

What is predictive maintenance software?
预测维护软件是一种维护软件,可监视设备条件和随着时间的推移性能,以检测潜在问题并相应地安排维护。预测维护软件通过使用预测维护工具(例如设备传感器或测量变量,例如振动,声音和温度)来起作用。然后,该软件运行预测性维护分析,以确定是否有必要维修。使用预测性维护软件可帮助企业通过检测设备故障的早期迹象来采取积极的方法来维护。

What is predictive maintenance?
预测性维护,通常被缩写为“ PDM”,是一种维护理念,专注于在日常操作期间监视设备性能以检测和防止故障和中断。预测性维护不管设备分解时(如“预防性维护”),而不是进行修理(如“反应性维护”)或进行维修,而是通过围绕实时设备进行旋转维护来采取战略性的方法性能数据。预测维护涉及使用预测维护工具,例如温度计,振动监测器和其他人,以随着时间的推移监视设备状况。然后,此信息与预测维护软件同步,以分析性能趋势并确定是否有必要进行维护。预测维护可以帮助工业企业增加正常运行时间,延长其资产的寿命,提高生产率并提高收入。

预测维护的类型是什么?
There are several main types of predictive maintenance, including:

  • Vibrational analysis- 这种预测维护方法使用传感器来监视设备振动并确定可能表明问题的任何更改。振动分析可以帮助检测设备的松动,未对准或磨损。

  • 红外分析- This type of predictive maintenance monitors the temperature of equipment to identify potential issues that may require further action. A change in equipment temperature is often one of the first signs that there is some sort of problem, and using thermal imaging tools can help enterprises better monitor operating conditions of their assets.

  • Acoustical analysis- This predictive maintenance method monitors changes in the sound of equipment or assets. Changes in sounds emitted by equipment may indicate the need for a repair, and predictive maintenance tools such as ultrasonic sensors can detect subtle changes in sound that are inaudible to employees.

These predictive maintenance tools can work individually and in conjunction with one another to accurately assess machinery condition. Enterprises can then analyze this information to determine if an asset requires maintenance or replacement.