Abstract: A server for providing an artificial intelligence (AI)-based adaptive feed amount, includes a memory, a communication module that communicates with at least one machine tool, and at least one processor that communicates with the memory and the communication module, wherein the at least one processor is configured to receive an initial reasonable load value from a first machine tool in a unit factory, to obtain at least one of a first recommended feed change amount, a first recommended tool or base-material rotation speed, or a first recommended cut-in amount by inputting a target load value and the initial reasonable load value of the first machine tool to a first AI model, and to transmit, to the first machine tool.

Abstract: A server for providing an artificial intelligence (AI)-based adaptive feed amount, includes a memory, a communication module that communicates with at least one machine tool, and at least one processor that communicates with the memory and the communication module, wherein the at least one processor is configured to receive an initial reasonable load value from a first machine tool in a unit factory, to obtain at least one of a first recommended feed change amount, a first recommended tool or base-material rotation speed, or a first recommended cut-in amount by inputting a target load value and the initial reasonable load value of the first machine tool to a first AI model, and to transmit, to the first machine tool.

Abstract: Disclosed is a system for monitoring a machine tool that communicates with an edge device using a digital twin, wherein the edge device may be configured to: request machining data for an operation of the machine tool in real time using a query different for each detailed process existing within one machining process to the machine tool, and receive data of a preset data format in response to corresponding machining data among the machining data from the machine tool, and wherein the machine tool may be configured to: generate machining data including at least one of cutting data, movement data, or standby data for an operation corresponding to the query, and transmit the machining data to the edge device in real time.

Abstract: Disclosed is a system for monitoring a machine tool that communicates with an edge device using a digital twin, wherein the edge device may be configured to: request machining data for an operation of the machine tool in real time using a query different for each detailed process existing within one machining process to the machine tool, and receive data of a preset data format in response to corresponding machining data among the machining data from the machine tool, and wherein the machine tool may be configured to: generate machining data including at least one of cutting data, movement data, or standby data for an operation corresponding to the query, and transmit the machining data to the edge device in real time.