Learn how to add a unified namespace alongside your existing historian using EMQX Neuron and EMQX. This four-stage guide covers connecting legacy equipment, publishing structured MQTT data, and gradually migrating applications while keeping existing systems running.
This article explores how AI agents built around industrial equipment can help factory teams use data more effectively. It introduces EMQ Device Agent, which connects equipment data, maintenance knowledge, and existing factory systems. Through natural-language interactions, teams can simplify equipment monitoring, troubleshooting, and maintenance while coordinating across departments without major changes to production lines.
This blog explains why traditional industrial software struggles to scale across multi-site deployments and how cloud-native edge architecture changes the economics of scaling.
This article will provide a comprehensive guide on OPC DA and OPC UA to help readers make wise choices based on specific industrial needs, thus reducing unnecessary costs effectively.
Explore OPC UA protocol features, architecture, security, working principles, information models, and how OPC UA integrates with MQTT for scalable IIoT connectivity.
Discover how EMQX Enterprise and EMQX Neuron enable a validated Unified Namespace to simplify compliance reporting, change control, and GxP data governance in biotech manufacturing.
Discover how a Unified Namespace powered by EMQX enables predictive maintenance for magnet manufacturing, helping reduce cutter waste, prevent unplanned downtime, improve product quality, and turn real-time industrial data into actionable operational intelligence.
Discover the differences between BACnet and Modbus protocols in our comprehensive comparison guide, exploring their unique features, applications, and ideal scenarios for implementation.
Stop data chaos before it starts. EMQX's UNS Governance plugin validates every MQTT message against your Unified Namespace schema, at the broker, in real time, with zero application code.
This article demonstrates how EMQX Neuron bridges these three gaps through **SQL feature engineering + flexible algorithm integration**, providing an end-to-end solution from data acquisition to edge inference.
Discover how EMQX Neuron leverages edge computing, data aggregation, and contextual intelligence to eliminate the Cloud Ingress Tax, dramatically reducing IoT data costs, cloud compute expenses, and network overhead for Industrial AI deployments.
Learn how to modernize your IIoT data pipeline by shifting from legacy gateways to an intelligent AI edge with EMQX Neuron for real-time SQL filtering, 99% bandwidth savings, and AI-ready data normalization.