Enlighten Signs Business Agreement with Intellectus

Energy and climate tech company Enlighten announced on the 18th that it signed a strategic business agreement (MOU) with real-time data middleware specialist Intellectus for the joint development of an 'Edge AI-based solar power monitoring system'.

Through this agreement, the two companies will jointly develop a smart monitoring system that combines AI image analysis technology and real-time data processing technology. The system aims to improve the accuracy of abnormality detection and operational efficiency in solar power plants.

Specifically, Enlighten plans to integrate Intellectus’ Edge AI devices and data processing middleware system, ‘int2ConneX’, into its solar power plant monitoring unit (RTU). This will implement a distributed operating structure that can diagnose the status of the power plant by analyzing video and sensor data in real time on-site without cloud transmission.

For example, if foreign substances are attached to solar panels or cracks occur, AI detects this in real time and immediately sends a notification to the operator. This function is especially applicable to power plants that are subject to remote monitoring and control systems (RTUs) and where CCTV installation is mandatory, and can be expected to have additional effects in terms of asset protection as well as early detection of facility abnormalities.

The technology is also expected to be installed in Enlighten's power plant operation management solution, 'Power Generation King' system in the future, and by adding AI analysis technology to existing measurement and control functions, it is expected to increase both user convenience and system reliability.

“As the digital transformation of the energy industry is in full swing, this agreement is an important step forward in advancing AI-based facility management technology,” said Enlighten CEO Lee Young-ho. “Through continuous technology development and cooperation, we will provide integrated solutions that support the optimization of energy asset operation.”


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