For manufacturers, staying ahead of the curve is the key to maintaining competitiveness and maximizing productivity. Manufacturers are leveraging advanced technologies like these to drive innovation and streamline production:
Unified Namespace (UNS) is a concept for managing industrial data with a hub and spoke model that serves as a single source of truth for a business's current state and events.
AI and ML are used to optimize manufacturing processes, enhance quality control, and predict equipment failures for informed decision-making and autonomous operations.
Using technology to create highly connected, data-driven environments allows manufacturers to optimize production processes, enhance efficiency, and reduce downtime.
Digital twins are virtual replicas of physical assets, or systems that enable manufacturers to analyze and optimize performance in a virtual environment.
Unified Namespace (UNS) is an innovative approach that gathers data from various industrial IoT (IIoT) systems, adds context, and transforms it into a format that other systems can easily understand.
HiveMQ is the enterprise MQTT platform that lays a powerful foundation for Industry 4.0. It solves data connectivity and interoperability challenges across a variety of manufacturing industries, including automotive, chemical, food and beverage, and pharmaceutical.
Efficient data collection, communication, and control are key for smart manufacturing. MQTT is a lightweight and efficient protocol, which ensures real-time data exchange with minimal bandwidth consumption, critical for monitoring and controlling industrial assets and processes.
MQTT minimizes latency, enabling near-instantaneous communication and efficient real-time data exchange between devices.
The event-driven nature of MQTT ensures data is transmitted as events occur instead of at fixed intervals, leading to better decision-making.
Coupled with UNS, MQTT can aggregate data from various sources, including legacy systems and modern IoT devices, into a unified platform.
MQTT is well-suited for the edge, reducing latency and bandwidth usage, and allowing for faster, real-time decision-making on the factory floor.
MQTT ensures reliable message delivery with different Quality of Service (QoS) levels, making it suitable for critical industrial applications.
MQTT incorporates robust security features including encryption, access control, and authentication to protect manufacturing data.
MQTT's lightweight design and publish/subscribe model make it highly efficient for environments with limited bandwidth.
MQTT's efficient data transmission methods help reduce the energy consumption of resource-constrained sensors and devices.
MQTT is protocol-agnostic and works with various communication protocols, for seamless integration across diverse systems and devices.
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.
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.
HiveMQ prices its offerings based on the value you derive, not on speed and feeds. There is no need to count messages or integrations, rather we align to specific business goals and outcomes. Specifically, we offer pricing based on:
Request QuoteHow many plants or locations do you need to support and over what time period?
How many devices and protocol types need to be supported per plant?
Do you need us to run the software for you, or will you self-manage the deployment? What is the relationship between plants and headquarters?
Are you looking for a multi-year deal or to renew each year?
Join our webinar to learn how real-time Digital Twins transform industrial processes, enhance decision-making, and leverage Industry 4.0 technologies for smarter data-driven insights and outcomes.
Discover how Lumo (https://lumo.ag) revolutionized smart agriculture to save growers time, money, and water by leveraging MQTT and HiveMQ.
A webinar about how solid data management is crucial for AI success in Manufacturing. Gain insights for optimizing your data infrastructure.
Explore the importance of strategic digitalization & how Unified Namespace and IIoT can help navigate the complexities of modern manufacturing challenges.
Explore how integrating advanced visual inspection systems with AI & protocols like MQTT can enhance quality control processes in manufacturing.
A roundup of IIoT innovations at Hannover Messe 2024 and how MQTT is transforming the collection, communication, and control of IoT data at scale.
Choose between a fully-managed cloud or self-managed MQTT platform. Our MQTT experts can help you with your solution and demonstrate HiveMQ in action.