Research On Green Degree Evaluation Of Container Manufacturing Process Based On BP Network

Manufacturing is an indispensable part of people’s lives.It is of great significance to ensure its sustained and rapid development.With the acceleration of my country’s industrialization process and the increase in environmental protection efforts,green manufacturing will inevitably become the future development trend of the manufacturing industry.However,the development of my country’s manufacturing industry is still facing obstacles,and there is an urgent need to solve the problem of poor greenness such as large environmental pollution.As one of the typical high-consumption and high-polluting industries,the evaluation of the manufacturing process of the container manufacturing industry can reflect the situation of green manufacturing in the manufacturing industry to a certain extent,so that the manufacturing industry can clarify its own development status and cause problems.Emphasis on green manufacturing.Moreover,there is currently no special evaluation system for the container manufacturing process,which makes it difficult to evaluate the greenness of the container manufacturing process.Therefore,it is necessary to construct a special evaluation system and evaluation method for greenness evaluation.This article first analyzes the research methods of greenness.According to the characteristics of container manufacturing,combined with the factors that may affect the greenness in the manufacturing process,a preliminary container greenness evaluation system is established.Afterwards,the indicator system was optimized using questionnaires,reliability,validity,principal component analysis and factor analysis,and finally the greenness evaluation system of the container manufacturing process was constructed from the four aspects of economic efficiency,environmental friendliness,humanistic care and green technology.And based on the BP neural network,the container greenness evaluation model was established,and the model was built on MATLAB.According to the standards of each index,the boundary was demarcated,training samples were generated,and the parameters of the constructed evaluation model were optimized.Finally,through actual investigations,the qualitative indicators were scored using the expert scoring method,and the quantitative indicators were collected and processed by field data as the input samples of the neural network.The greenness of the container manufacturing process examples was evaluated,and a BP neural network was designed.GUI interface.Examples show that the evaluation model and method constructed in this article can be used to evaluate the greenness of the container manufacturing process,and it provides a new method for the greenness evaluation of the container manufacturing process,which has certain practical significance.