论文部分内容阅读
为解决机床资源共享中资源表述、存储及与加工任务匹配等关键问题,提出基于本体的机床资源共享机制。采用本体对机床资源进行语义化表述,增强其人机可读性。采用分布式数据库HBase对机床本体信息进行存储,以高效存取为目的设计HBase表格,实现对机床本体信息的存储及高效查询。提出基于加工任务的机床资源查询策略,实现加工任务与共享资源的有效匹配。在存储大量机床实例至数据库的条件下,以车削加工任务为例进行验证,通过提交该任务至该资源共享平台,获得适合该任务的车床列表。结果表明,建立的机床本体模型及提出的资源信息存储方案和资源查询策略能够满足资源共享的需求,验证共享机制的可行性和有效性。
To solve the key problems of resource representation, storage and matching with machining tasks in machine resource sharing, an ontology-based machine resource sharing mechanism is proposed. Semantic representation of machine tool resources using ontology to enhance human-machine readability. The distributed database HBase is used to store the machine body information and the HBase table is designed for efficient access to store the machine body information and query efficiently. A query strategy of machine tool resources based on processing tasks is proposed to realize the efficient matching between processing tasks and shared resources. Under the condition of storing a large number of machine tool instances to the database, the lathe machining task is used as an example to verify the lathe list suitable for the task by submitting the task to the resource sharing platform. The results show that the established model of machine tool ontology and the proposed resource information storage scheme and resource query strategy can meet the demand of resource sharing and verify the feasibility and effectiveness of sharing mechanism.