A Coupling System Design Based on the Internet of Things and Intelligent Decision Support System in Industrial Enterprises

Extensive economic development and traditional industrial production processes had caused great waste on human resources and natural energy. In the view of this situation, the paper establishes a coupling information system based on the internet of things and decision support system, expanding the research on the overall framework and design level of the integration system. First, from the macro level, the coupling system is built with the perception layer and decision-making layer as a whole, secondly, starting with complex network theory, the paper makes use of small-world network model to optimize perception layer topology network, finally, as the manufacturing is the core part of perception layer of the industrial enterprises, the technical framework of the active perception of critical events in IOMT based manufacturing process is established, which contributes to providing dynamic monitoring and decision-making to optimize the production process with a new model of support real-time information. Hence, the visual decision knowledge as well as realization of real-time intelligent management can be obtained by the coupling system.

I. Introduction

With fierce business competition, the demand of automation, information and intelligence in industrial production makes industrial enterprises has to pay more attention on the development of new technologies. Meanwhile, the complex degree of internal decision-making increases gradually, facing more uncertain factors, heavier burden of decision-making tasks for corporate managers. The main difficulties encountered are: a wide range of decision-making and the larger span, the decision-making process there are a variety of factors, the sudden increase of decision-making activities.