Real-Time Data Helps HiveMQ Customers Transform Smart Cities

The key to digital transformation in smart cities lies in collecting and making use of data from connected devices scattered across diverse locations. Data needs to be collected from sources such as traffic lights, waste management systems, energy grids, and environmental sensors, then compiled and analyzed. 

Real-time data is critical for triggering alerts and alarms, and ensuring public safety by enabling immediate actions in response to changing conditions. By leveraging this data, smart cities can enhance operational efficiency, improve resident safety, and promote sustainability, ultimately creating more livable, efficient, and environmentally-friendly cities. HiveMQ plays an important role in enabling this transformation by providing a reliable and scalable platform for real-time data exchange, built on the powerful MQTT protocol.

Why HiveMQ and MQTT for Smart Cities

Smart city infrastructure relies on many connected devices and systems, generating vast amounts of data. This data needs to be efficiently collected, processed and acted upon in real-time. While MQTT provides the foundation by ensuring reliable data delivery even over low-bandwidth or unstable networks, HiveMQ enhances this further by offering enterprise-grade features like high availability, enhanced security, and scalability. 

HiveMQ's real-time data movement capabilities empower cities to improve public services, optimize traffic systems, and reduce environmental impact, ensuring seamless integration of IoT across smart cities. Let’s take a look at some HiveMQ customer stories that demonstrate the power of the platform for smart city use cases. 

Uplink Transforms Alert Systems with Real-Time Data Integration

Uplink, a leader in cellular solutions for security applications, specializes in real-time monitoring and rapid response across diverse settings. From managing environmental controls for farm operations to providing critical alerts for alarm systems, Uplink’s technology plays a vital role in ensuring safety through continuous monitoring. However, the growing demands of smart city infrastructure required Uplink to find a more reliable, scalable solution for managing millions of connections and ensuring real-time data flow.

With HiveMQ, Uplink has successfully integrated an enterprise-grade MQTT platform that handles 24,000 connections and processes over 410 million outgoing messages per hour. The real-time transmission of data enables Uplink’s systems to instantly notify customers of critical alerts, such as unauthorized entries or fire incidents, ensuring a swift response and enhanced security. HiveMQ’s high availability and zero downtime since 2020 ensure that Uplink’s systems remain operational even in mission-critical environments.

Berlex Transforms Traffic Management with Real-Time Data Integration

Berlex, a Swedish company with nearly 50 years of experience in traffic safety, faced a critical challenge: the inability to achieve real-time control and monitoring of its traffic signals. To address this, Berlex deployed HiveMQ to power its cloud-based portable traffic signals, allowing customers to remotely manage and monitor the R6 traffic signals via smartphones, computers, or tablets. 

HiveMQ captures continuous streams of MQTT data from the signals, providing real-time information on traffic conditions and ensuring high availability for mission-critical operations. With HiveMQ, Berlex is now one of the few companies in the world capable of providing real-time traffic data, improving road safety and operational efficiency. The R6 traffic signals, equipped with radar, sensors, and 3G modems, transmit data to Berlex’s cloud service via a private mobile network. This innovative solution reduces the need for on-site maintenance and enables dynamic sharing of real-time traffic information, such as quick routes for emergency vehicles.

IAV Revolutionizes Flash Flood Management with Real-Time Data from Vehicles

IAV, an automotive engineering company, partnered with water management authorities to create an early warning system for flash floods caused by heavy rainfall. Forecasting these localized events was challenging, and IAV needed a solution to collect and transmit real-time data from car rain sensors to alert authorities about potential floods.

Using HiveMQ, IAV reliably sends real-time, location-specific data from thousands of connected vehicles to the cloud, where it integrates with weather services via Apache Kafka. This system provides precise rainfall data down to the square meter, significantly improving local authorities' ability to manage flood risks. The project continues to scale, delivering high volumes of data in real time to ensure proactive responses to severe weather events.

Driving the Future of Smart Cities with HiveMQ

As cities continue to embrace digital transformation, the need for reliable, scalable, and secure data infrastructure will only grow. HiveMQ’s MQTT platform is at the forefront of this movement, enabling cities to harness the power of real-time data to enhance services, improve public safety, and reduce operational costs.