Industries & Use Cases
From maximizing the energy output of giant wind turbines to preventing catastrophic failures of industrial pumps, FogHorn’s intelligent edge solutions bring real-time feedback and automated control systems to some of the toughest and most remote industrial environments.
From creating semiconductors to the assembly of giant industrial machines, edge intelligence enhances manufacturing yields and efficiency using real-time monitoring and diagnostics, machine learning, and operations optimization. The immediacy of edge intelligence enables automated feedback loops in the manufacturing process as well as predictive maintenance for maximizing the uptime and lifespan of equipment and assembly lines.
Oil and Gas
Oil and gas extraction are high-stakes technology-driven operations that depend on real-time onsite intelligence to provide proactive monitoring and protection against equipment failure and environmental damage. Because these operations are very remote and lack reliable high speed access to centralized data centers, edge intelligence provides onsite delivery of advanced analytics and enables real-time responses required to ensure maximum production and safety.
Mining faces extreme environmental conditions in very remote locations with little or no access to the Internet. As a result mining operations are relying more and more on edge intelligence for real-time, onsite monitoring and diagnostics, alarm management, and predictive maintenance to maximize safety, operational efficiency, and to minimize costs and downtime.
As part of the rise in the Industrial Internet, trains and tracks, buses, aircraft, and ships are being equipped with a new generation of instruments and sensors generating petabytes of data that will require additional intelligence for analysis and real-time response. Edge intelligence can process this data locally to enable real-time asset monitoring and management to minimize operational risk and downtime. It can also be used to monitor and control engine idle times to reduce emissions, conserve fuel and maximize profits.
Power and Water
The unexpected failure of an electrical power plant can create substantial disruption to the downstream power grid. The same holds true when water distribution equipment and pumps fail without warning. To avoid this, edge intelligence enables the proactive benefits of predictive maintenance and real-time responsiveness. It also enables ingestion and analysis of sensor data closer to the source rather than the cloud to reduce latency and bandwidth costs.
New solar, wind, and hydro are very promising sources of clean energy. However constantly changing weather conditions present major challenges for both predicting and delivering a reliable supply of electricity to the power grid. Edge intelligence enables real-time adjustments to maximize power generation as well as advanced analytics for accurate energy forecasting and delivery.
In the healthcare industry, new diagnostic equipment, patient monitoring tools, and operational technologies are delivering unprecedented levels of patient care but also huge amounts highly sensitive patient data. By processing and analyzing more data at the source, medical facilities can optimize supply chain operations and enhance patient services and privacy at a much lower cost.
To compete with online shopping, retailers must lower costs while creating enhanced customer experiences and levels of service that online stores cannot provide. Edge intelligence can enrich the user experience by delivering real-time omni channel personalization and supply chain optimization. It also enables newer technologies such as facial recognition to deliver even higher levels of personalization and security.
Among the many benefits of smart building technology are lower energy consumption, better security, increased occupant comfort and safety, and better utilization of building assets and services. Rather than sending massive amounts of building data to the cloud for analysis, smart buildings can use edge intelligence for more responsive automation while reducing bandwidth costs and latency.
Integrating data from a diverse collection of municipal systems (e.g. Street lighting, traffic information, parking, public safety, etc.) for interactive management and community access is a common vision for smart city initiatives. However the sheer amount of data generated requires too much bandwidth and processing for cloud-based systems. Edge intelligence provides a more effective solution that distributes data processing and analytics to the edges where sensors and data sources are located.
Connected vehicle technology adds an entirely new dimension to transportation by extending vehicle operations and controls beyond the driver to include external networks and systems. Edge intelligence and fog computing will enable distributed roadside services such as traffic regulation, vehicle speed management, toll collection, parking assistance, and more.