Informatization of Intelligent Manufacturing to Green Innovation Reform of Tobacco Manufacturing Enterprises in the Era of Big Data

Abstract

Objectives: Based on intelligent manufacturing technology, this paper studies the informatization method of green innovation reform of tobacco manufacturing enterprises in the era of big data. Methods: By combing the literature at home and abroad, this paper expounds the technologies of data mining and data visualization based on the idea of lean management. On this basis, the basis of data management in the silk workshop of X tobacco enterprise is investigated and analyzed in detail from the aspects of human resources, equipment and management environment. Taking the blade feeder in the silk workshop of X cigarette factory as the research object, this paper establishes the self inspection model of equipment health state by using the weighted sum method of overall linearity and local nonlinearity. Results: The system can self check the health status of equipment and visually display the results. This method realizes timely and effective inspection and early warning of equipment health status. At the same time, the visual Kanban of workshop site management can provide production and equipment information to relevant personnel in time. This meets its demand for data visualization and changes the current situation of workshop data table display. Conclusion: This method reengineers the information business process of tobacco enterprises and establishes a new performance evaluation system. This effectively improves the existing management system of the workshop.