At the factory, we plan product planning, make a manufacturing plan, and carry out commercialization at the production line. We will make production according to plan while controlling and managing facilities by manufacturing execution management system. In addition, we will manage the planned production process while managing with product quality control system whether product is being manufactured as planned product. Production delay may occur due to a sudden production line electric machine failure. Also, in the production line, we must reduce the costs that affect the profits of production products by reducing the cost of power consumption and preventing the production of defective products. To that end, we have been promoting IT in factories, but in order to make the whole as efficient as planned, we collect and analyze and analyze a large amount of data of each system and electrical equipment of each production line in real time , It will not lead to an improvement in production efficiency unless instant visualization of production efficiency is done. Moreover, in order to continue more stable production, we will develop AI Model using a large amount of accumulated data and realize smart factory more efficient. However, in order to realize it, since it can not be utilized unless the multiple facility operation logs of each production line, multiple system data, and power consumption data are integrated, on the spot, data is collected manually according to need I did not make it at all in order to improve production efficiency further. Therefore, it is necessary to optimize data in real time, real-time grasp of the production process using AI, production prediction, and prevention of failure of the electrical equipment of the production line.