Virtual resource model based on cloud manufacturing and modeling method thereof

Abstract

The invention, which belongs to the information security technology field, relates to an information collection storage and encryption retrieval system based on a cloud platform, especially to a system that is used for intelligently collecting interaction information on a network as well as encrypting and storing the information, so that information retrieval can be realized without decryption. More particularly, the model comprises a data information collection module, a data information encryption module, a data information retrieval module and a data access interface module. According to the invention, information that is needed for a user is intelligently collected; according to the encrypted information retrieval method, information that is needed for a user can be retrieved without a decryption process, so that the user can access and obtain the needed information anywhere and anytime; therefore, efficiency can be improved and lots of time can be saved; meanwhile, information security can be ensured; and the model is suitable for application individually, in a company or in an organization and an institution; and the model can be installed on a personal computer or mobile equipment and it is convenient for collection, storage, encryption and retrieval of data information.

Description

technical field [0001] The invention relates to a virtual resource model based on cloud manufacturing and a modeling method thereof, belonging to the field of advanced manufacturing technology. Background technique [0002] "Cloud manufacturing" is a new service-oriented networked manufacturing model proposed by Li Bohu and others in the first issue of Volume 16 of "Computer Integrated Manufacturing System" in 2010. Its definition is: cloud manufacturing is a new networked manufacturing model that uses the network and cloud manufacturing service platform to organize online manufacturing resources (manufacturing cloud) according to user needs, and provide users with various on-demand manufacturing services. [0003] The cloud manufacturing model is oriented to the whole life cycle of product manufacturing. It is a large-scale manufacturing model. It integrates existing networked manufacturing and service technologies with cloud computing, cloud security, high-performance comp...

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Problems solved by technology

[0006] Although the above resource classification methods have different starting points, the focus of modeling resources according to these classifications is on the physical attributes of the resources themselves. However, in the networked manufacturing environment of cloud manufacturing, these methods have drawbacks : Cloud manufacturing is mainly a resource leasing model. The resource provider publishes its own manufacturing resources to the cloud manufacturing platform as a service through the virtualization process, and the resource demander searches for resources that meet their requirements from the cloud manufacturing platform. , the resource demander does not know the specific situation of the resource provider, and the demander can only judge whether it meets its own requirements from the limited resource information released by the provider, which requires the resource provider to describe the resource as detailed as possible

The traditional resource classification method only considers the physical properties of the resource itself, but ignores the impact of human factors on some resources. For example, a manufacturing task needs to process a certain part. If you look for manufacturing equipment that meets the processing conditions in the cloud manufacturing platform, you will get Multiple results, at this time, the same type of manufacturing equipment is considered to have exactly the same processing results, but in fact, the processing results of the same type of manufacturing equipment will change with the change of newness and the level of operators, that is, resource The modeling method will seriously affect the task matching scheme and then affect the manufacturing cost and manufacturing results

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