SUNNYVALE, Calif .– (COMMERCIAL THREAD) – FogHorn, a leading developer of Edge AI software for industrial and commercial Internet of Things (IoT) solutions, today announced its deployment at the Chugoku Electric Power hydropower plant. In partnership with Energia Communications, Inc., FogHorn Lightning solutions help the power plant achieve more efficient power generation, operations and workplace safety.
Chugoku Electric Power employs nearly 9,200 workers at 114 hydroelectric power generation facilities in the Chugoku region. As a 24-hour operation, the IoT implementation helps the business address labor shortage and streamline operations, while enabling advanced data collection through real-time remote analytics that ultimately improve decision making and security. Additionally, edge capabilities, powered by FogHorn Lightning, can detect early signs of equipment failure to quickly mitigate issues, reduce costs, and improve business results.
âWe are proud to help achieve Chugoku Electric Power’s long-term operational, safety and compliance goals through our partnership with Energia Communications,â said Yuta Endo, vice president / general manager of APAC operations. , business development at FogHorn. âAs a result of FogHorn’s strong business alliance with Energia Communications, we were recruited to improve operations to drive sustainability and ensure green energy sources stay online by harnessing the power of IoT and capabilities. periphery. ”
Energia Communications and FogHorn officially launched the demo test in 2017 and began operating in April 2021. Prior to its completion, the test became a âIndustrial Security Advancement Promotion Cost Subsidyâ in 2020 by the Japanese Government’s Ministry of Economy, Trade and Industry (METI). Intended to stimulate national developments in energy and environmental and security policy, this test serves as a model for other utilities and organizations to deploy IoT and achieve greater operational efficiency and safe workplaces.
As a key component of the demo test, FogHorn integrated its Lightning â¢ Edge AI platform into Energia Communications’ IoT solutions to automate power generators. The platform enables remote and real-time collection, storage and analysis of data, such as current temperature and vibration for equipment control and monitoring, which has always been an untimely function and inefficient requiring more costs. Additionally, the use of data collected and processed at the edge provides predictive maintenance and power generation forecasting capabilities to remotely address asset vulnerabilities and improve real-time decision making.
To learn more about the FogHorn Lightning â¢ Edge AI platform, visit: https://www.foghorn.io/edge-ai-platform/.
About Energia Communications, Inc.
Energia Communications (Enecom) has been providing a wide range of services, including networking, cloud services, data centers and security, in Japan for many years.
Enecom is currently working on IoT solutions based on its already existing services. Improving the level of preventive maintenance of machines and installations is a crucial element for stable business continuity, in particular for the manufacturing and energy industries. The company is fully convinced that the IoT services it provides can meet and thoroughly satisfy such needs. In particular, the implementation of FogHorn Lightning in âEneWings Hiroshima Datacenterâ, a cloud service linked to Enecom’s WAN, will allow users to create even more secure IoT models.
FogHorn is a leading developer of advanced artificial intelligence software for industrial and commercial IoT application solutions. FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premise edge environment, enabling a new class of applications for advanced monitoring and diagnostics, optimizing the performance of machine, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideal for OEMs, system integrators and end customers in manufacturing, power & water, oil & gas, renewables, mining, transportation , healthcare, retail, as well as smart grids, smart cities, smart buildings and connected vehicles. applications.