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.
Smart Manufacturing by Industry
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.
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
A data fabric approach, such as the Unified Namespace, is the central hub for real-time industrial data, ensuring seamless communication between systems. This digital transformation ensures all assets and processes have access to a single source of truth, helping manufacturers optimize workflows and achieve greater operational visibility.
AI and Machine Learning
AI and robotic process automation (RPA) transform manufacturing operations by automating repetitive tasks, enhancing compliance through improved precision, and optimizing resource allocation. These technologies enable lean manufacturing by cutting down unnecessary processes and driving cost-effective, high-quality production.
Data-Driven Factory (IIoT)
The rise of Industrial IoT (IIoT) has created fully connected, data-driven factories. Using automation and real-time analytics, manufacturers can optimize production, manage workflows more efficiently, and enhance decision-making. Adopting a UNS ensures seamless data flow, empowering more innovative and agile processes.
Digital Twins
Digital twins are virtual models of physical assets or systems that allow manufacturers to simulate and optimize production processes in a virtual environment. By analyzing real-time data and running simulations, manufacturers can predict and resolve issues before they occur, significantly enhancing efficiency and reducing costs.
Unified Namespace (UNS)
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.
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.
Real Time
MQTT minimizes latency, enabling near-instantaneous communication and efficient real-time data exchange between devices.
Event-Driven Architecture
The event-driven nature of MQTT ensures data is transmitted as events occur instead of at fixed intervals, leading to better decision-making.
Data Aggregation
Coupled with UNS, MQTT can aggregate data from various sources, including legacy systems and modern IoT devices, into a unified platform.
Edge Optimized
MQTT is well-suited for the edge, reducing latency and bandwidth usage, and allowing for faster, real-time decision-making on the factory floor.
Reliable
MQTT ensures reliable message delivery with different Quality of Service (QoS) levels, making it suitable for critical industrial applications.
Secure
MQTT incorporates robust security features including encryption, access control, and authentication to protect manufacturing data.
Low Bandwidth
MQTT's lightweight design and publish/subscribe model make it highly efficient for environments with limited bandwidth.
Energy Efficient
MQTT's efficient data transmission methods help reduce the energy consumption of resource-constrained sensors and devices.
Protocol-Agnostic
MQTT is protocol-agnostic and works with various communication protocols, for seamless integration across diverse systems and devices.
Smart Manufacturing Typical Deployment
What are the Benefits of Digital Transformation and Industry 4.0?
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:
Increase Overall Equipment Efficiency (OEE)
Automate processes and use data analytics to improve efficiency across manufacturing lines and locations.
Improve Product and Service Quality
Apply real-time monitoring and analytics to quickly identify and fix issues before they negatively affect quality.
Improve Operational Efficiency
Use digital technologies to be more agile and quickly identify and recover from costly mistakes or unsuccessful endeavors.
Visibility into MTTR and MTBF
Understand Mean Time to Repair and Mean Time Between Failures to track the reliability and maintainability of equipment.
HiveMQ has delivered the stability and reliability that we require for our system. We have been using HiveMQ for 4 years and the broker has not gone down. It is rock solid, completely reliable. This is very important since we can’t stop the factory assembly line.
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:
Business Critical Reliability
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Scalability to Support Growth
Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.
Flexible Integration
Focus on your core business instead of using developer resources with data integration into enterprise applications and infrastructure like Apache Kafka.
End-to-End Security
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Observable Insights
Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.
Simple-to-Deploy
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.
Selected HiveMQ Case Studies in Smart Manufacturing
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:
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