Abstract: Provided is a softsensor analysis and measurement system to provide the output by new progress variables based on collected data by a sort of sensors. The system comprises: an online sensor, an inline sensor, or an offline sensor; a machine learning/deep learning module; and a soft sensor server for collecting and storing online sensor data collected by the on-line sensor through a sensor network and a gateway, Ethernet, or WLAN (Wi-Fi), collecting and storing inline sensor data measured by an IoT device equipped with the inline sensor or offline sensor data measured by the offline sensor through an analysis device (dedicated analyzer), and outputting a result by applying new process variables (input) of a manufacturing process by using the machine learning/deep learning module, and feeding back and applying the new process variables of the manufacturing process to a control computer of the manufacturing process.

Abstract: A manufacturing intelligence service system connected to an MES in smart factory is provided. The smart factory manufacturing intelligence service system connected to an MES includes a Manufacturing Execution System (MES) having a machine vision of a production line of each manufacturing company to provide the product ID and a product information and a defect information including scratch or defect of a product; a cloud server connected to the at least one Manufacturing Execution System (MES); and an agent server connected to the cloud server, and the cloud server provides the product ID and the product information and product defect information of a connected machine vision production line of a manufacturing company product to the user terminal through the agent server.