Latest news with #MQTT
Arabian Post
23-06-2025
- Business
- Arabian Post
Unified Namespace Revolutionises Industrial Data Integration
Factories are increasingly adopting a Unified Namespace architecture—an event‑driven, centralised framework that unites data from diverse systems under a single, real‑time source of truth. By standardising naming conventions and utilising protocols like MQTT, this model dismantles data silos, enhances scalability, and accelerates decision‑making across engineering, operations, and management teams. UNS addresses the critical issue of fragmented automation ecosystems, where legacy PLCs, SCADA, MES, ERP and new IIoT devices yield data in inconsistent formats and isolated silos. By reorganising data into a semantic hierarchy aligned with business structures and situating all assets as nodes in a publish‑subscribe landscape, UNS ensures every connected system publishes updates when state changes occur and can subscribe to relevant data streams. Architectures based on UNS deploy MQTT brokers and IIoT platforms at their core. Data flows from edge devices—PLCs, sensors, HMIs—into 'raw' MQTT namespaces. It is then tidied, contextualised, and republished into a clean, hierarchically structured UNS, often paired with time‑series historians and SQL databases for durability and retrospective analytics. ADVERTISEMENT Industry voices emphasise UNS's role in bridging OT–IT divides. Walker Reynolds, credited with coining the term, described it as 'a real‑time single source of truth…semantically organised like the business and built to be open'. HiveMQ positions UNS as an enterprise‑scale model that aligns with patterns used in Data Mesh and Domain‑Driven Design, placing context‑aware, edge‑driven data streams at the centre of manufacturing ecosystems. Recent uptake is notable: OEMs and engineering integrators report streamlined onboarding of IIoT sensors, rapid deployment of smart analytics and reduced custom integration efforts. Clarify notes that UNS acts as the foundation for Industry 5.0‑ready systems—where real‑time context, resilience, and federated governance are critical. TCS analysts argue that consistent tag naming and publish‑subscribe methods democratise operations and facilitate near real‑time decision‑making across departments. Drivers of UNS adoption include the surge of IIoT connections—forecast to exceed 37 billion by 2025—and the push for real‑time visibility and AI‑driven insights. Heavyweights such as HiveMQ, EMQX and Inductive Automation's Ignition platform are addressing the architecture's appetite for robust MQTT‑based messaging layers. HiveMQ in particular emphasises semantic data hierarchy design, security hardening, and mapping enterprise schemas to UNS topics. The legacy Pyramid model—where data moves upward in batch‑driven flows—proved brittle and expensive to scale. UNS transforms this into a hub‑and‑spoke solution: systems publish events directly into the namespace; consumers subscribe as needed. This eliminates point‑to‑point wiring and custom middleware, reducing complexity and accelerating time‑to‑market. Adopters also benefit from plug‑and‑play device integration. Sparkplug B over MQTT ensures that edge devices can join UNS without manual intervention, supporting standardized payloads and monitoring capabilities. Challenges remain. Integrating legacy vendors requires protocol adaptation; data governance must balance federated ownership with enterprise consistency; cybersecurity demands are heightened by the open edge‑driven infrastructure. These technical and cultural safeguards are critical to UNS's sustainability. Nevertheless, early implementations demonstrate tangible benefits: one manufacturer reported a 30 % reduction in downtime detection latency thanks to real‑time fault event publication. Another systems integrator noted a 40 % cut in engineering hours by replacing custom connectors with dynamic UNS subscriptions. Bracketology 4.0, an innovative application outside manufacturing, showcased UNS's versatility in handling real‑time tournament data and instant user analytics. As newer projects integrate UNS, focus is shifting to best practice frameworks—semantic schemas, access control, naming standards aligned to ISA‑95 models—and more intelligent data models. HiveMQ's reference architectures are guiding industry audiences in mapping enterprise hierarchies into MQTT topic structures. Momentum is growing within the automation vendor landscape. Inductive Automation's Ignition platform, paired with Cirrus Link MQTT modules, is gaining prominence for its streamlined UNS onboarding. EMQX promotes scalability across geographically distributed plants, enabling centralised monitoring while maintaining edge resilience.
National Post
06-05-2025
- Business
- National Post
Digi Unveils MQTT for Digi Connect Sensor XRT-M to Transform IIoT Data Integration
Article content Delivers low-latency, standards-based MQTT integration for scalable IIoT deployments across water, energy and industrial automation sectors Article content Article content MINNEAPOLIS — Digi International ®, (NASDAQ: DGII), a global leader in Internet of Things (IoT) connectivity solutions, today announced the release of MQTT for Digi Connect ® Sensor XRT-M, designed for water and wastewater management, oil and gas, and industrial automation applications. MQTT for the Digi Connect Sensor XRT-M is available now. Organizations seeking to simplify and accelerate their IIoT sensor connectivity can contact Digi Sales to schedule a demo and experience the future of industrial data integration firsthand. Article content With MQTT for Digi Connect Sensor XRT-M, we're eliminating the complexity of sensor data integration. Customers get a rapid setup, flexible reporting options, and industry-leading reliability — right out of the box. Article content This breakthrough offering sets a new benchmark for Industrial IoT (IIoT) connectivity by delivering seamless, instant sensor data integration for industries where speed and reliability are critical. Article content Why it matters: In today's industrial landscape, slow and complicated sensor integration can lead to costly downtime, inefficient operations, and missed insights. MQTT for the Digi Connect Sensor XRT-M addresses these challenges by offering rapid deployment, flexible data reporting, seamless integration with Digi Axess or standard MQTT brokers, and reliable, scalable data flow using the proven MQTT protocol. Article content 'For IIoT operators, time is money,' said Brian Kirkendall, VP and General Manager of Infrastructure Management at Digi International. 'With MQTT for Digi Connect Sensor XRT-M, we're eliminating the complexity of sensor data integration. Customers get a rapid setup, flexible reporting options, and industry-leading reliability — right out of the box.' Article content What sets it apart: MQTT for Digi Connect Sensor XRT-M goes beyond the standard with features designed to reduce friction and accelerate value. Article content Article content Article content Article content Article content Contacts Article content Article content Article content
Yahoo
06-05-2025
- Business
- Yahoo
Digi Unveils MQTT for Digi Connect Sensor XRT-M to Transform IIoT Data Integration
Digi Unveils MQTT for Digi Connect Sensor XRT-M to Transform IIoT Data Integration Delivers low-latency, standards-based MQTT integration for scalable IIoT deployments across water, energy and industrial automation sectors MINNEAPOLIS, May 06, 2025--(BUSINESS WIRE)--Digi International®, (NASDAQ: DGII), a global leader in Internet of Things (IoT) connectivity solutions, today announced the release of MQTT for Digi Connect® Sensor XRT-M, designed for water and wastewater management, oil and gas, and industrial automation applications. MQTT for the Digi Connect Sensor XRT-M is available now. Organizations seeking to simplify and accelerate their IIoT sensor connectivity can contact Digi Sales to schedule a demo and experience the future of industrial data integration firsthand. This breakthrough offering sets a new benchmark for Industrial IoT (IIoT) connectivity by delivering seamless, instant sensor data integration for industries where speed and reliability are critical. Why it matters: In today's industrial landscape, slow and complicated sensor integration can lead to costly downtime, inefficient operations, and missed insights. MQTT for the Digi Connect Sensor XRT-M addresses these challenges by offering rapid deployment, flexible data reporting, seamless integration with Digi Axess or standard MQTT brokers, and reliable, scalable data flow using the proven MQTT protocol. "For IIoT operators, time is money," said Brian Kirkendall, VP and General Manager of Infrastructure Management at Digi International. "With MQTT for Digi Connect Sensor XRT-M, we're eliminating the complexity of sensor data integration. Customers get a rapid setup, flexible reporting options, and industry-leading reliability — right out of the box." What sets it apart: MQTT for Digi Connect Sensor XRT-M goes beyond the standard with features designed to reduce friction and accelerate value. Intuitive self-service setup: Eliminate complex configurations with an easy onboarding experience Versatile data flow: Route data to the cloud, a private broker, or both for maximum flexibility Faster time to value: Get devices online and data flowing quickly, minimizing operational delays Uncompromising reliability: Engineered for mission-critical operations where consistent data transmission is a must For more information, visit About Digi International Digi International (NASDAQ: DGII) is a leading global provider of IoT connectivity products, services, and solutions. It helps companies create next-generation connected products and deploy and manage critical communications infrastructures in demanding environments with high levels of security and reliability. Founded in 1985, Digi has helped customers connect more than 100 million things and counting. For more information, visit
