Intelligent Manufacturing (IM) It is a human-machine integrated intelligent system composed of smart machines and human experts, capable of performing intelligent activities during the manufacturing process—such as analysis, reasoning, judgment, ideation, and decision-making. By enabling collaboration between humans and intelligent machines, it enhances, extends, and partially replaces the cognitive labor traditionally performed by human experts in manufacturing. This innovation not only redefines the concept of manufacturing automation but also pushes its boundaries toward greater flexibility, intelligence, and high levels of integration.

Starting from the essential characteristics of intelligent manufacturing systems, in a distributed manufacturing network environment, and guided by the fundamental principles of distributed integration, this approach leverages the theories and methodologies of multi-agent systems from distributed artificial intelligence to achieve flexible, intelligent manufacturing units and seamlessly integrate them into a network-based, flexible manufacturing system. Leveraging the isomorphic features of distributed systems, this implementation—rooted in a localized form of intelligent manufacturing systems—effectively mirrors the operational model of intelligent manufacturing systems within the global, Internet-driven manufacturing network framework.

Operational process

1. Any internet user can access the system’s homepage to obtain relevant information, or they can place an order with the system by completing and submitting the user order registration form provided on the homepage.

2. If an order is received and accepted from an internet user, the Agent stores it in the global database. The task planning node can then retrieve the order from the database, proceed with task planning, break down the task into several subtasks, and assign these tasks to nodes within the system that have been granted the necessary permissions.

3. The product design subtask is assigned to the design node, which completes the task through intuitive human-machine interaction, generating corresponding CAD/CAPP data and documentation along with CNC code. These files and documents are then stored in the global database before the node submits the subtask to the task planning node.

4. The processing subtask is assigned to the producer; once the subtask is accepted by the producer node, the machine tool Agent will be authorized to read the necessary data from the global database and transmit this data to the machining center. The machining center will then execute the subtask based on the provided data and instructions, sending back its operational status information to the machine tool Agent. Finally, the machine tool Agent will return the results to the task planning node, officially submitting the subtask.

5. Throughout the system's entire operation, the System Agent continuously records interaction activities among all nodes in the system, such as message sending and receiving, as well as read/write operations on the global database. It also queries each node for details like its name, type, address, capabilities, and task completion status.

(6) Online customers can view the results of order execution.

Intelligent Manufacturing (IM) It is a human-machine integrated intelligent system composed of smart machines and human experts, capable of performing intelligent activities during the manufacturing process—such as analysis, reasoning, judgment, ideation, and decision-making. By enabling collaboration between humans and intelligent machines, it enhances, extends, and partially replaces the cognitive labor traditionally performed by human experts in manufacturing. This innovation not only redefines the concept of manufacturing automation but also pushes its boundaries toward greater flexibility, intelligence, and high levels of integration.

Starting from the essential characteristics of intelligent manufacturing systems, in a distributed manufacturing network environment, and guided by the fundamental principles of distributed integration, this approach leverages the theories and methodologies of multi-agent systems from distributed artificial intelligence to achieve flexible, intelligent manufacturing units and seamlessly integrate them into a network-based, flexible manufacturing system. Leveraging the isomorphic features of distributed systems, this implementation—rooted in a localized form of intelligent manufacturing systems—effectively mirrors the operational model of intelligent manufacturing systems within the global, Internet-driven manufacturing network framework.

Operational process

1. Any internet user can access the system’s homepage to obtain relevant information, or they can place an order with the system by completing and submitting the user order registration form provided on the homepage.

2. If an order is received and accepted from an internet user, the Agent stores it in the global database. The task planning node can then retrieve the order from the database, proceed with task planning, break down the task into several subtasks, and assign these tasks to nodes within the system that have been granted the necessary permissions.

3. The product design subtask is assigned to the design node, which completes the task through intuitive human-machine interaction, generating corresponding CAD/CAPP data and documentation along with CNC code. These files and documents are then stored in the global database before the node submits the subtask to the task planning node.

4. The processing subtask is assigned to the producer; once the subtask is accepted by the producer node, the machine tool Agent will be authorized to read the necessary data from the global database and transmit this data to the machining center. The machining center will then execute the subtask based on the provided data and instructions, sending back its operational status information to the machine tool Agent. Finally, the machine tool Agent will return the results to the task planning node, officially submitting the subtask.

5. Throughout the system's entire operation, the System Agent continuously records interaction activities among all nodes in the system, such as message sending and receiving, as well as read/write operations on the global database. It also queries each node for details like its name, type, address, capabilities, and task completion status.

(6) Online customers can view the results of order execution.