Real-time monitoring method for energy consumption of public building based on data mining

Abstract

The invention discloses a real-time monitoring method for the energy consumption of a public building based on data mining, belonging to the technical field of building energy saving. The method disclosed by the invention comprises the following steps: S1. establishing a building energy consumption mode judgment tree; S2. collecting building energy consumption data in real time; and S3. judging whether the current building energy consumption data are energy consumption abnormal points or not, carrying out the mode matching on the current building energy consumption data and the building energy consumption mode judgment tree and judging whether the current building energy consumption data are isolated points or not. In the method disclosed by the invention, the specific energy consumption mode of the building is identified by carrying out the cluster analysis on the historical energy consumption data; the building energy consumption mode judgment tree is obtained by classifying the data; the mode matching is carried out on the energy consumption data which are dynamically collected in the real-time monitoring course for the energy consumption of the building; and the isolated point analysis is carried out on the energy consumption data and the historical data which have the same mode, thereby judging whether the current building energy consumption data are abnormal or not. The method disclosed by the invention has the characteristics of good real-time characteristic, generality and robustness.

Description

technical field [0001] The invention belongs to the technical field of building energy conservation, and relates to a detection method suitable for abnormal building energy consumption data, in particular to a real-time monitoring method of public building energy consumption based on data mining. Background technique [0002] In recent years, with the development of the economy, my country's construction industry has developed rapidly, and building energy consumption has accounted for more than 30% of the total energy consumption of the society, and there is an increasing trend year by year. Among them, the energy consumption of public buildings is particularly serious. Although the number of public buildings only accounts for about 5% of the total number of buildings, their energy consumption accounts for 22% of the total energy consumption of buildings. 5 to 15 times of that. At the same time, our country is in a period of relative energy shortage. The high energy consump...

AI Technical Summary

Problems solved by technology

However, a large amount of data also brings "data disaster", which makes it difficult for building managers to quickly and effectively discover the existing abnormal energy consumption problems

The traditional monitoring method is to set a threshold by the energy management personnel to determine the level of energy consumption, but there are two problems: 1) The threshold is artificially set, too high or too low may affect the actual detection results; 2) Factors such as seasons and building energy consumption patterns are not considered, and cannot dynamically adapt to the above changes

The final structure of mining is unpredictable, but the problems to be explored should be foreseeable. Data mining for the sake of data mining is blind and will not succeed

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