Environmental protection monitoring and energy management system based on Internet of things

Abstract

The invention discloses an environmental protection monitoring and energy management system based on the Internet of things, which comprises an Internet of things module, an energy data acquisition module, an energy data statistical analysis module, an energy consumption prediction analysis module, a background management module, an energy real-time monitoring module, an energy plan management module, an energy comprehensive statistics module, an energy efficiency diagnosis optimization module, a benchmarking assessment module, an energy cost analysis module, an environmental protection emission monitoring module and a basic data management module. The environmental protection monitoring and energy management system based on the Internet of things realizes environmental protection monitoring and energy management, achieves networked, real-time and intelligent supervision and improves the energy management efficiency by adopting a mode of the Internet of things.

Description

technical field [0001] The invention relates to a management system, in particular to an environmental protection monitoring and energy management system based on the Internet of Things. Background technique [0002] In order to reduce the energy consumption of buildings, an energy management system called BEMS (Building Energy Management System, Building Energy Management System) is introduced in buildings to control the operation of air conditioners and other equipment. [0003] When introducing an energy management system for energy-saving control, it is required to clarify its energy-saving effect. [0004] In other words, it is required to compare the energy consumption when the energy-saving control is not performed or the energy consumption when the energy-saving control is less effective than the energy-saving control to be introduced, and the energy consumption when the energy-saving control to be introduced is performed, and the calculation Quantitative effect of ...

AI Technical Summary

Problems solved by technology

[0008] However, in general, even if control parameters such as set temperature are substituted into the calculation model of energy consumption, there may be cases where the parameters are statistically meaningless, and an effective model cannot be established in this case.

[0009] The reason may be that the above-mentioned measuring points are insufficient, or that the influence of the unmeasured parameters on the consumption is greater than the influence of the measured control parameters on the consumption