HiveMQ is the enterprise MQTT platform that lays a powerful foundation for Industry 4.0. It solves data connectivity and interoperability challenges by providing a secure, reliable, and scalable data abstraction layer between OT and IT systems.
Manufacturers deal with supply chain disruptions, downtime, quality control issues, and regulatory controls, which affect product speed to market. To overcome these challenges, manufacturing embraces digital technologies like Industry 4.0 and Industrial IoT (IIoT) for these outcomes:
Automate processes and use data analytics to improve efficiency across manufacturing lines and locations.
Apply real-time monitoring and analytics to quickly identify and fix issues before they negatively affect quality.
Use digital technologies to be more agile and quickly identify and recover from costly mistakes or unsuccessful endeavors.
Automate regulatory reporting and quality control, and ensure the traceability of data to support regulatory compliance.
In this whitepaper, we discuss the motivation and drivers behind modernization, the technical challenges, and the architectural patterns that can be used to deliver a reliable, scalable and flexible message platform for a smart, connected factory.
Read more about how MQTT Sparkplug solves IIoT interoperability challenges by adding context to MQTT, decoupling data consumers and producers, ensuring immediate discoverability, and establishing a single source of truth.
In this article, we discuss how to enable the tracking and analyzing of OT data with MQTT, how implementing Industry 4.0 technologies can reduce equipment downtime, and the top 5 benefits for manufacturers.
Overall Equipment Effectiveness (OEE) is an important KPI for manufacturers. Sparkplug is a framework that sits on top of MQTT to add more context to manufacturing data. Read about the top 5 Ways MQTT Sparkplug helps improve OEE in industrial processes.
HiveMQ solves the challenges of data collection and movement in manufacturing by adding a reliable, scalable and secure data abstraction layer between OT and IT systems that enables heterogeneous machines and processes to work together seamlessly even in constrained environments. The key benefits are:
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.
Focus on your core business instead of using developer resources with data integration into enterprise applications and infrastructure like Apache Kafka.
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.
Achieve rapid time-to-value with a platform that is flexible enough to deploy on-premise, in any cloud, or via the fully-managed and feature-rich HiveMQ Cloud offering.