Electric energy management system based on Internet of Things technology

Abstract

The invention discloses an electric energy management system based on the Internet of Things technology. The electric energy management system comprises a computer remote terminal system, an input endof the computer remote terminal system is connected with a service platform and an energy consumption detection module, the service platform comprises a login module, a consulting module, a transmission module and a receiving module, an output end of the computer remote terminal system is connected with an information processing module and an energy consumption information receiving module, the output ends of the processing module and the energy consumption information receiving module are connected with a working module, and the working module comprises an energy consumption data processingmodule, an energy saving potential analysis module and comparison module. The electric energy management system disclosed by the invention can accurately predict the energy cost via data analysis, andcan normalize all energy consumption information from an energy inlet to a consumption monomer by connecting enterprise devices through the network, in order to make the most cost-effective energy-saving and efficiency-enhancing program, and can deliver information to each level of decision makers completely in time, which is beneficial to the performance of the enterprise.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an electric energy management system based on the Internet of Things technology. Background technique [0002] Under the premise of implementing the "two-part system" of electricity prices, industrial electricity consumption needs to report the amount of electricity demand for the enterprise in the next month every month, and pay a capacity fee of no less than 40% of the transformer capacity, and the value is based on the enterprise's The reported demand is calculated. When the actual demand is greater than the reported demand, it is necessary to charge a fine of twice the capacity fee. This requires manual filling of the reported demand, and most of the existing schemes are based on the experience of the staff. Once there is negligence, a large number of excessive fines will be generated, which will lead to serious economic losses for enterprises and increase the...

AI Technical Summary

Problems solved by technology

Once there is negligence, a large number of excessive fines will be generated, which will lead to serious economic losses for enterprises and increase the cost of electricity consumption of enterprises. At the same time, there are still great deficiencies in the application and management of electric energy. For this reason, we propose an electric energy management based on Internet of Things technology. system

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