Let's connect ↗IoT Gateway
Connect operational telemetry to the asset and maintenance decisions it should inform. Pragma Edge’s IoT Gateway solution approach focuses on source compatibility, asset identity, data quality and the path into your selected enterprise environment.
Asset programs are connecting inspection, condition signals and AI-assisted insight with work management. The difficult handoff is often between finding a problem and getting the right person to act with the right context.
Pragma Edge organizes asset work around See, Listen, Think and Act. We connect asset data, inspection evidence, monitoring and prioritization with planning and field execution, choosing the scope that fits the customer environment.
Start with a representative asset class and a maintenance journey. Validate data quality, agree when an observation warrants action, and review whether the resulting work improves the operating process before expanding coverage.
The plant may already have useful signals. The difficult part is making them dependable outside their source system: which asset does this belong to, what does the measurement mean, how old is it and who should respond when it changes?
Inventory the equipment, existing gateways and interfaces available for the selected use case. Validate connectivity in the actual operating environment.
Align source tags with enterprise asset records and locations. Resolve units, timestamps and naming before relying on downstream analysis.
Specify how stale, missing, duplicated or implausible readings should be handled in the target workflow.
Scope the telemetry path to asset monitoring, event handling or maintenance processes, with ownership at every handoff.
Assess device interfaces, signal quality, asset identifiers and event handoffs. Define collection and exception behavior with operations teams before integrating signals into monitoring or maintenance.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
Illustrative use cases to shape your evaluation.
Begin with the maintenance question. Determine whether the reading can be trusted, what operating context matters and who interprets it. The design should make a stale sensor feed distinguishable from a real condition change.
Choose a consistent asset-reference model without assuming every source behaves identically. Validate one representative source per site pattern, then document the remaining compatibility work before scaling.
Agree a baseline and an acceptance threshold with the process owner. These are evaluation measures, not claimed customer results.
Bring a source-system inventory, sample readings and the intended asset record. Validate compatibility, data behavior and the downstream decision in a technical workshop before committing to hardware or protocol coverage.
Plan a focused product conversation ↗