SUNNYVALE, Calif.--(BUSINESS WIRE)--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 hydroelectric power facility. In partnership with Energia Communications, Inc., the FogHorn Lightning solutions help the power plant more realize efficient power generation, operations and workplace safety.
Chugoku Electric Power employs nearly 9,200 workers across 114 hydroelectric power generation facilities in the Chugoku area. As a 24-hour operation, the implementation of IoT is helping the company address the labor shortage and streamline operations, while enabling the collection of advanced data through remote, real-time analytics which ultimately enhance decision making and safety. In addition, edge capabilities, powered by FogHorn Lightning, can detect early signs of equipment failures to quickly mitigate issues, reduce costs and drive business outcomes.
“We’re proud to help address the long-term operational, safety and compliance goals at Chugoku Electric Power through our partnership with Energia Communications,” said Yuta Endo, VP/GM of APAC Operation, Business Development at FogHorn. “Resulting from FogHorn’s strong business alliance with Energia Communications, we were enlisted to improve operations to drive sustainability and ensure green energy sources stay online by harnessing the power of IoT and edge capabilities.”
Energia Communications and FogHorn officially launched the demonstration test in 2017 and began operation in April 2021. Ahead of its completion, the test became an “industrial security advancement promotion cost subsidy” in 2020 by the Ministry of Economy, Trade and Industry (METI) of the Japanese government. Aimed to drive national developments for energy and environmental policy and safety and security, 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 demonstration test, FogHorn integrated its Lightning™ Edge AI Platform into Energia Communications’ IoT solutions to automate power generators. The platform enables remote, real-time collection, storage and analysis of data, such as current temperature and vibration for equipment control and monitoring, which has historically been a non-timely and inefficient function requiring more costs. In addition, the utilization of data collected and processed at the edge delivers predictive maintenance capabilities and power generation forecasting to remotely address equipment vulnerabilities and enhance decision making in real-time.
To learn more about the FogHorn Lightning™ 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 networks, 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 machinery and facilities is a crucial element for stable business continuity, especially for the manufacturing and energy industries. The company is fully confident that the IoT services it provides can thoroughly respond to and satisfy such needs. In particular, implementing FogHorn Lightning in “EneWings Hiroshima Datacenter,” a cloud service that is linked to Enecom’s own original wide area Ethernet, will enable users to create even more secure IoT models.
About FogHorn
FogHorn is a leading developer of edge AI software for industrial and commercial IoT application solutions. FogHorn’s software platform brings the power of advanced analytics and machine learning to the on-premises edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance, and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as smart grid, smart city, smart building, and connected vehicle applications.
