Digital technologies in energy and utilities are growing rapidly. IoT devices, smart meters, and AI/ML enable efficient energy management and distribution. Smart grids are becoming more common, enabling real-time monitoring and adjusting power flows to improve grid reliability and efficiency.
As renewable energy sources become more prevalent, so does the need for effective energy storage solutions. Large-scale energy storage systems are being implemented to store excess power generated by renewable sources for use when generation is low.
The shift towards electric vehicles (EVs) is gaining momentum, posing challenges and opportunities for energy and utility companies. The growing demand for electricity from EVs will require upgrades to electrical grids and charging infrastructure.
Energy efficiency is increasingly crucial across industries. AI/ML technologies and analytics are optimizing energy usage in buildings, industrial processes, and transportation. Energy-efficient appliances and management systems are helping to reduce energy waste and lower carbon emissions.
From smart grid management to asset and environmental monitoring, MQTT enables efficient communication, data collection, and real-time analytics.
Connect various sensors, devices, systems, and applications on one platform.
Utilize MQTT’s pub-sub to distribute data in real-time between devices and systems.
Extract, enrich, and transform real-time IoT data using the SQL-based rule engine.
Secure communication via TLS/SSL, fine-grained access control, and data encryption.
Horizontal scalability and fault tolerance with a distributed clustering architecture.
Seamless integration with energy management and SCADA systems.
Monitor and control various smart grid components, including smart meters, distribution transformers, and sensors. Real-time energy consumption, voltage levels, and power quality data can be collected and analyzed to optimize grid performance, detect faults, and enable demand-response programs.
Facilitate the integration of renewable energy sources, such as solar panels and wind turbines, into the existing energy infrastructure. Enable real-time monitoring of energy production, forecast generation capacity, and manage the dynamic distribution of renewable energy to balance supply and demand.
Collect real-time energy consumption data by connecting energy monitoring devices, such as smart meters or submeters, to the MQTT platform. Analyze this data to identify energy-saving opportunities, detect anomalies, and provide insights for energy efficiency improvements.
Monitor and manage critical infrastructure assets, such as transformers, pumps, or turbines. Collect real-time data on operating conditions, temperature, vibration, and maintenance schedules. This enables the implementation of predictive maintenance strategies to minimize downtime and optimize asset performance.
Collect environmental data, such as air quality, temperature, or humidity, from IoT sensors deployed in the energy and utilities infrastructure. This data can be used for environmental impact assessment, compliance monitoring, and early warning systems.