Edge Computing and Data Analytics
Edge architecture, local inference, telemetry pipelines, data quality, diagnostics, and low-latency processing for field systems.
Edge Computing and Data Analytics articles

When an RK3566 AIoT Gateway Is Enough for Lightweight Edge Computing
Select an RK3566 AIoT gateway by deadlines, CPU/NPU/memory/I/O contention, sustained load, degradation, and recovery—not 1 TOPS or a short demo.
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When an RK3588 Edge AI Box Fits Industrial Vision—and When It Does Not
A 6-TOPS RK3588 does not automatically deliver a production vision system. Learn how to qualify camera, RKNN, latency, thermal, recovery, and rollback boundaries.
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Asset Model vs Telemetry Schema: How to Separate the Contracts
An industrial asset model and a telemetry schema should not share one lifecycle. The asset model answers what an entity is, where it belongs.
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Brownfield Industrial Data Quality: A Reproducible Governance Case
A brownfield integration can look successful long before its data is safe to use. A Modbus register responds, an OPC UA subscription produces values.
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How to Choose a Local AI Model for Enterprise Deployment
The most expensive mistake in local AI selection is not choosing the second-best model. It is downloading a popular model before defining where data may go.
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Industrial IoT Alarm and Event Modeling: Separate Facts from Operator Workflow
A chiller outlet crosses its high limit six times in ten minutes and returns to normal five times.
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Industrial Tag Modeling and Governance: Beyond the Point List
The first point list in an industrial project is usually practical: device, register address, data type, scale, unit, and a short description.
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Industrial Telemetry Pipeline Architecture: From Field Signals to Replayable Time-Series Data
The first version of an industrial data platform often looks like one straight line: a PLC or sensor sends values to a gateway, the gateway publishes over MQTT.
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IoT OTA Canary Rollouts and Rollback: A Fleet Engineering Guide
A successful firmware update in a laboratory proves one narrow fact: one device wrote and booted one image under one set of conditions.
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YOLO for Vision Inspection: From Acceptance Criteria to Edge Deployment
YOLO is a strong fit for a specific class of vision problem: determine whether a visible object is present, identify its class.
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Historian vs Time-Series Database for Industrial IoT
In industrial IoT projects, plant historians and general time-series databases are often compared as if one should replace the other.
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MQTT Sparkplug B vs Custom Topics in Industrial IoT
If an industrial IoT system only needs to move a small set of readings into a cloud service, custom MQTT topics are often faster, lighter.
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