The Study About Intelligent Manufacturing Resource Allocation Efficiency Based on Mutual Information Criterion

Abstract

With appearance of “Internet +” and “Industry 4.0”, Intelligent manufacturing has become a hotspot. This mode realizes the optimal allocation of manufacturing resources through the network platform. At present, scholars use intelligent algorithms studying resource allocation model, however, these studies are based on assumption of definite resource environment. The study from perspective of data matching is less. This paper highlights research about efficiency of resources matching from the internet perspective, putting forward concept of “resource that is data”. Combined with data redundancy issues, this paper separates many unordered resources features into redundant and nuclear attributes. It studies distribution of attribute characteristic variables in same space with information entropy, researches the redundancy among attribute features variables with mutual information and studies attributes feature selection mechanism with attributes features redundancy criterion based on mutual information. We can find the resource with robust attribute features quickly and accurately from many intelligent manufacturing resources.