Author(s)

Meng Hua

Corresponding Author

Meng Hua

Abstract

In the production of iron and steel, it takes a variety of primary and secondary energy sources with complex structures. It is difficult for traditional energy management mode to carry out hierarchical management in the production of iron and steel, and it is not dynamic enough and difficult to take into account the overall situation. It is easy to lead to the emergence of multi-head management and extensive management in the management process, and the management effect is not ideal [1]. By analyzing the energy consumption of iron and steel enterprises in the process of energy management and control in iron and steel production, this paper finds out the shortcomings of iron and steel enterprises in the process of energy management and control, and puts forward suggestions on energy consumption adjustment, energy utilization, and energy conservation quantification with the use of information technology under the background of big data, and puts forward the routing optimization with more low-carbon and efficient energy management in the production of iron and steel to reduce the pressure on energy and natural environment caused by the production of iron and steel.

Keywords

Big data; Production of iron and steel; Energy management; Routing optimization