A Resource Autonomous Management Method Oriented to Incremental Manufacturing
A self-management and incremental manufacturing technology, applied in resources, manufacturing computing systems, data processing applications, etc., can solve the problems of incremental manufacturing cloud platform construction without clear implementation methods and cases, and achieve scalability and strength , flexible resource management configuration, and enhanced stability
Active Publication Date: 2017-02-15
HUZHOU TEACHERS COLLEGE
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Problems solved by technology
Due to the complexity of the industrial structure and technological process, most of the existing service cloud platforms are provided by third-party providers for manufacturing enterprises. The implementation of the cloud platform in the specific manufacturing field is still in its infancy, and the construction of the cloud platform for incremental manufacturing has not yet been clarified. Implementation methods and cases
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specific Embodiment
[0081] figure 1 Given the overall technical framework for implementing the self-management module of the present invention, the self-management module proposed in this embodiment can be used for the resource management layer on the managed element to generate a virtual resource pool. The implementation technical framework is an extension of the general self-management framework using the method proposed by the present invention.
[0082] system deployment
[0083] In this embodiment, manufacturing resources as managed elements are subdivided into four categories: incremental manufacturing equipment hardware, software tools, manual processes, and monitoring equipment. All managed resources are plugged into the connected autonomic manager. At deployment time, each managed resource is encapsulated as a service described by the resource description ontology in the autonomic manager.
[0084] Together with the connected managed resources, the autonomous manager forms an autonomo...
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The invention discloses a resource self-management method oriented to additive manufacturing. The method relates to a plurality of self-management nodes which are independent of one another. All the self-management nodes are connected with respective managed resources to form virtual resource pools to provide service for an application layer, the multiple virtual resource pools form a resource layer, any self-management node can be updated to be a master control node, the master control node can initiate a cooperation request to adjacent peer nodes, the master control node monitor the self-management nodes and assist the self-management nodes in completing the request, the adjacent peer nodes are the self-management nodes which the master control node can have access to on a network segment, the managed resources include monitoring equipment, software and manufacturing resources, and each self-management node structurally comprises virtual service, a virtual service manager, a rule engine, an actuator, a sensor, a monitor, an event manager and a knowledge base. With the method, most of additive manufacturing equipment and relevant resources can be connected in and managed, and the virtual manufacturing resource pools are provided for the application layer.
Description
[0001] 【Technical field】 [0002] The invention relates to the field of computer integrated manufacturing and the technical field of artificial intelligence, in particular to the technical field of a method for autonomous management of incremental manufacturing resources and related systems. [0003] 【Background technique】 [0004] The goal of self-management technology is to reduce the complexity of large-scale and dynamic system management, so that complex network devices can realize self-management in preset policies. IBM's white paper An Architecture Blueprint for Automatic Computing proposes a universal autonomous system architecture, and patent CN 1581154 B proposes a 5-layer general autonomous system architecture. However, the existing systems and architectures do not mention the autonomous management of manufacturing resources, nor include the specific expression and storage methods of management policies, and how to control the reasoning methods of autonomous system de...
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IPC IPC(8): G06Q10/06G06Q50/04H04L12/24
CPCY02P90/30
Inventor 蒋云良杨小明童丹枫廖备水姚远
Owner HUZHOU TEACHERS COLLEGE