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Industrial cloud data safety automatic production line based on dynamic clonal selection algorithm

A clone selection algorithm, safe and automated technology, applied in the fields of genetic laws, genetic models, comprehensive factory control, etc., can solve problems such as affecting the speed of data calculation, and achieve the effect of speeding up the overall work efficiency

Inactive Publication Date: 2016-08-17
DONGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Indeed, traditional data encryption technology can guarantee data security, but in cloud data centers, data storage and fast data calculation are almost synchronized, and encrypted storage of data will affect the speed of data calculation

Method used

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  • Industrial cloud data safety automatic production line based on dynamic clonal selection algorithm
  • Industrial cloud data safety automatic production line based on dynamic clonal selection algorithm
  • Industrial cloud data safety automatic production line based on dynamic clonal selection algorithm

Examples

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Embodiment Construction

[0121] The present invention will be further described below in combination with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0122] The industrial cloud data security automation production line based on the dynamic clone selection algorithm of the present invention, the block diagram of the production line is as follows figure 1 shown. The industrial automation production line is composed of several industrial robots, and the industrial automation production line also includes an industrial field data acquisition module, a cloud data center a...

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Abstract

The invention relates to an industrial cloud data safety automatic production line based on the dynamic clonal selection algorithm, especially to an industrial automatic production line with industrial cloud data safety storage and high-efficient calculating framework based on dynamic clonal selection algorithm. Bulk production data acquired from an industrial site are packed and input to a cloud data center, and improved data safety protection based the dynamic clonal selection algorithm is applied in a memory block. When a calculating block extracts corresponding stored data according to a user's request, only the request is sent to a control node to extract corresponding data self sets which enter into the memory block to be matched. For external access, read and write of data are allowed after passing authentication if the obtained data self sets completely match with the self sets memorized in a memory block server. Memory detector matching is conducted if the previous matching process fails, data access is allowed if the memory detector matching succeeds, otherwise, a routine detector detection is started.

Description

technical field [0001] The invention belongs to the technical field, and relates to an industrial cloud data security automation production line based on a dynamic cloning selection algorithm, in particular to an industrial automation production line based on a dynamic cloning selection algorithm based on an industrial cloud data security storage and efficient computing framework. Background technique [0002] After entering the 21st century, with the rapid development of social informatization and networking, the amount of data in all walks of life has exploded. According to incomplete statistics, the total amount of global information reached 2.7ZB in 2012, and this value is expected to reach 8ZB by 2015. The effective storage and utilization of such large-scale data puts forward new requirements for the current scientific computing model. At the same time, the utilization rate of massive computer resources on the Internet has been in an unbalanced state. For example, som...

Claims

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Application Information

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IPC IPC(8): G05B19/418G06N3/12
CPCG05B19/4183G05B2219/34342G06N3/126Y02P90/02
Inventor 任立红王伟凯丁永生郝矿荣陈磊
Owner DONGHUA UNIV
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