Definition
Cloud computing in maintenance refers to processing and storing maintenance-relevant data (CMMS records, sensor data, analytics workloads) on remote, provider-managed servers accessed over the internet, rather than on hardware physically located at the plant. It offers different trade-offs (scalability, remote access, reduced local hardware) than edge computing, which processes data locally near the equipment instead.
Key facts
- Processing and storage happen on remote, internet-accessed servers, not on local plant hardware.
- Offers scalability and easy remote access, at the cost of dependency on network connectivity and potentially higher latency.
- Distinct from edge computing, which deliberately processes data locally, near the equipment, to reduce latency or maintain function during connectivity loss.
- Many real deployments combine both: edge computing for time-critical local processing, cloud computing for broader analytics and storage.
How does Cloud computing in maintenance work in maintenance?
Cloud computing in maintenance involves sending maintenance data (from a CMMS, condition-monitoring sensors, or other sources) to remote, provider-managed servers for processing, storage, and analysis, accessed over the internet from wherever a user or system needs it, rather than relying solely on local plant infrastructure.
What does Cloud computing in maintenance require?
Cloud computing centralizes processing and storage remotely, trading local control for scalability and easy remote access. Edge computing instead processes data locally, close to the equipment generating it, reducing latency and maintaining function even if network connectivity to the cloud is temporarily lost: the two approaches are often combined rather than used exclusively.
FAQ
Frequently asked questions
Which maintenance data processing takes place via cloud resources?
Cloud computing in maintenance covers it: processing and storing maintenance data on remote, provider-managed servers accessed over the internet, rather than on local plant hardware, complementing rather than replacing edge computing.
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