A method for energy analysis of cold-rolled steel coil data

Abstract

The invention provides a cold-rolled steel coil data energy analysis method. On the basis of establishing a system and communication, a PLC acquires energy consumption data in a rolling process, and sends the energy consumption data and steel coil-related information to an L2 automatic control system through the Ethernet; a second-stage computer arranges the energy consumption data and the steel coil-related information, and then writes the data and the information into a database to generate daily reports, monthly reports and yearly reports of each production line and each shift; the energy consumption of the yield of each branch line unit is analyzed to find out the minimum value of the energy consumption per ton of steel when the production lines produce the same type of steel; the branching level energy target value, the planned value and the actual energy consumption value are compared to draw a branching level energy consumption and cost analysis bar comparison chart, so that the energy consumption differences when the shifts roll the same type of steel are compared, and factors which affect the rolling energy consumption are judged and then displayed. According to the cold-rolled steel coil data energy analysis method, the power consumption for rolling different specifications and types of steel plates can be benchmarked so as to set the optimal rolling speed; therefore, the consumption of electric energy is reduced, and the production cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of steel rolling technology, and in particular relates to an energy consumption analysis method for steel coil data of a cold tandem rolling mill. Background technique [0002] Electricity consumption in cold rolling mills accounts for more than 60% of the total energy consumption, and there is a huge potential for saving electricity consumption. The energy and power consumption of the original cold rolling mill was manually calculated, and a real-time monitoring and analysis system was not established and realized. The control of power consumption lagged behind, and the optimal rolling control of steel plates of different specifications could not be carried out, resulting in waste of power. Formulate the optimal rolling speed and hourly output to achieve the purpose of reducing power consumption, thereby providing an intuitive and scientific basis for energy saving and consumption reduction, and promoting t...

AI Technical Summary

Problems solved by technology

The energy and power consumption of the original cold rolling mill was manually calculated, and a real-time monitoring and analysis system was not established and realized. The control of power consumption lagged behind, and the optimal rolling control of steel plates of different specifications and varieties could not be carried out, resulting in waste of power.