The invention discloses an
electricity consumption
information monitoring method and
system based on hardware industry
electric power big data, and belongs to the technical field of
electric power information monitoring, and the method comprises the steps: S1, calculating segmented
energy consumption data and classified
energy consumption data based on
electricity consumption data; s2, correcting the classified
energy consumption data based on the working duration and rated power of the production equipment, and detecting whether the classified energy consumption data is abnormal or not; s3, constructing a fitting function by using the classified energy consumption data, the
raw material feeding data and the finished
product data, and judging whether the fluctuation information is abnormal or not; s4, judging the relationship between the
power consumption data of the hardware feeding equipment and the threshold value to determine whether to adjust the feeding speed; s5, calculating the number of theoretical products based on the
power consumption of the heating equipment, and adjusting the feeding speed if the actual number is smaller than a theoretical value; and S6, judging whether the heating equipment is abnormal or not according to the load current of the die
forging equipment, and sending warning information. According to the scheme, multi-level power
fault analysis is carried out on the hardware industry, so that the coverage range of power fault detection can be remarkably expanded.