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Construction energy consumption analysis method and construction energy consumption analysis system based on BP neural network

A BP neural network and building energy consumption technology, which is applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of not being able to understand the energy consumption status of houses, not making full use of energy consumption data, and failing to achieve intelligent analysis of energy consumption And other issues

Inactive Publication Date: 2016-03-30
SOUTH CHINA UNIV OF TECH +1
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

In addition, this method has relatively high requirements for professional knowledge, and most of them are designed for professionals. For actual users of buildings or owners, property management and other personnel who do not have professional knowledge related to building energy systems, they cannot pass this method. This method has a basic understanding of the energy consumption of one's own house, so the practical application is greatly limited
[0005] Due to their own limitations, the above two traditional building energy consumption analysis methods do not make full use of the existing energy consumption data, fail to achieve intelligent analysis of energy consumption, and have limited support for energy-saving decision-making.

Method used

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  • Construction energy consumption analysis method and construction energy consumption analysis system based on BP neural network
  • Construction energy consumption analysis method and construction energy consumption analysis system based on BP neural network
  • Construction energy consumption analysis method and construction energy consumption analysis system based on BP neural network

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Embodiment

[0070] see figure 1 , the flow chart of the building energy consumption analysis based on BP neural network according to the present invention, and the steps described in the method will be described in detail next.

[0071] This example analyzes the electricity consumption of the building to obtain the energy consumption weak links in the electricity consumption part of the building.

[0072] Step 1. Determine the input and output vectors according to the specified building energy consumption type, which can be realized by the following steps:

[0073] (1-1) At the end of the day before the analysis day (24:00), collect the power data of each sub-item of electric power, and obtain the corresponding power data as the original energy consumption data, including: this year’s unit area lighting and socket power consumption, this year’s unit Power consumption of air conditioners per area, power consumption of ventilation fans per unit area this year, power consumption of special ...

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Abstract

The invention discloses a construction energy consumption analysis method and a construction energy consumption analysis system based on a BP neural network. The method is characterized in that input output vector quantity can be determined according to predetermined construction energy consumption type; a BP neural network model can be constructed according to the input output vector quantity; the established BP neutral network model can be trained by inputting a training sample; the energy consumption index data requiring the analysis can be input in the trained BP model for the processing and the analysis; and the data restoration of the output data of the neutral network can be carried out. The system comprises an energy saving potential quantification module, a data preprocessing module, a BP network analysis module, a data restoration module, a configuration management module, and a log recording module. The processing and the analysis of the construction energy consumption index data can be realized quickly and accurately, and therefore the unreasonable links during the construction energy use process can be acquired, and then the construction manager and even the common user lack of professional knowledge can be aware of the construction energy consumption current condition and the energy saving improvement measures.

Description

technical field [0001] The invention relates to the detection and classification of building energy consumption data, belongs to the technical field of pattern classification, and particularly relates to a building energy consumption analysis method and system based on BP neural network. Background technique [0002] Building energy consumption analysis has always been the focus of attention and research by scholars from all over the world. Through correct and effective energy consumption calculation and analysis, the energy consumption of each link in the life cycle of buildings can be reduced. There are many building energy consumption analysis methods that can be used at present. According to the mathematical model, the calculation methods can be divided into two categories: one is the static energy consumption analysis method based on the stable heat transfer theory, and the other is the static energy consumption analysis method based on the stable heat transfer theory. ...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/041
Inventor 彭新一黄志炜邓钊鹏谢妍
Owner SOUTH CHINA UNIV OF TECH
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