Industrial organizations must continuously look for ways to increase operational efficiency, lower costs and improve production rates. One common way to do this is by preventing unplanned asset downtime.
Remote condition monitoring – the practice of tracking the key operating parameters of plant assets to detect and alert users of anomalies that may indicate a future failure – is the key to preventing unplanned downtime and improving production flow.
Through the adoption of remote condition monitoring, industrial organizations can:
- View the health and status of connected assets remotely to determine what, if any, on-site action is needed
- Maximize uptime by identifying and remediating health issues before they lead to asset failure
- Protect profitability by limiting unnecessary maintenance costs and productivity hits
Traditional condition monitoring is not sustainable
While many manufacturers already have some type of condition monitoring in place, they fail to realize the benefits listed above. This is because of the reliance on legacy tools and processes, or the desire to leverage custom condition monitoring applications. Both typically fail to provide accurate and continuous data flows from assets in production. As a result, manufacturers have limited transparency and cannot properly foresee performance and health issues. Additionally, custom condition monitoring applications must be built, maintained and updated in-house. This strains resources and diverts teams away from the organization’s core competency.
Digitalize anomaly detection with the industrial Internet of Things
Digitalization is changing the way companies do business, delivering deeper insights that allow organizations to offer new customer value and lower costs. By embracing a digitalized condition monitoring solution, powered by the industrial Internet of Things (IoT), organizations can overcome the challenges of traditional approaches. This gives manufacturers complete transparency into plant asset operating conditions – even remotely – in real time. How? Industrial IoT connects and gathers data from assets, machines, products, plants and systems – including systems across multiple facilities. From there, organizations can apply advanced analytics capabilities to the IoT data, unlocking powerful insights.
Leverage MindSphere for remote condition monitoring
MindSphere, Siemens’ industrial IoT as a service solution, connects both Siemens and non-Siemens assets in production to facilitate remote condition monitoring. Organizations can collect asset health and performance data in real time and build a customized overview of their global assets. From there, it is easy to provide all relevant data to key stakeholders and generate notifications when irregularities occur. When an anomaly is identified, team members can diagnose the issue remotely and determine the next steps. Different teams can combine and/or share data, bridging silos to enable a more complete view of global production and asset performance.
Begin your IoT journey for free
Accelerate your path to digitalization. Because it is offered as a service, MindSphere can be adopted without significant upfront investments. This also means that organizations do not have to worry about maintaining, updating or innovating the underlying infrastructure or core capabilities. As a result, organizations can focus on areas of differentiation, rather than the heavy lifting associated with running an industrial IoT solution