Evidence reasoning iterative algorithm and entropy weight based building illumination device switch-on rate simulation method

A lighting equipment, iterative algorithm technology, applied in design optimization/simulation, electrical digital data processing, special data processing applications, etc., can solve incomplete information, single consideration factors, building lighting equipment turn-on rate simulation can not handle uncertainty, etc. question

Inactive Publication Date: 2016-03-30
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0007] The present invention aims at the current building environment and the opening rate of building equipment provided by the simulation software. The consideration factor is single, and the opening rate simulation of building lighting equipment cannot deal with the inadequacy of uncertain and incomplete information.

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  • Evidence reasoning iterative algorithm and entropy weight based building illumination device switch-on rate simulation method
  • Evidence reasoning iterative algorithm and entropy weight based building illumination device switch-on rate simulation method
  • Evidence reasoning iterative algorithm and entropy weight based building illumination device switch-on rate simulation method

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Embodiment Construction

[0064] Such as figure 1 As shown, a simulation method of opening rate of architectural lighting equipment based on evidence reasoning iterative algorithm and entropy weight, its implementation steps are as follows:

[0065] 1) Divide the opening rate of architectural lighting equipment (0-100%) into a finite number of intervals. Assuming that the opening rate of architectural lighting equipment is divided into N intervals, the set of intervals for the opening rate of architectural lighting equipment is expressed as H(H 1 、H 2 ,...,H N );

[0066] 2) Identify the factors that affect the opening rate of architectural lighting equipment. The influencing factors can include qualitative and quantitative factors. Assuming that the number of influencing factors is determined to be L, the set of influencing factors can be expressed as E(E 1 ,E 2 ,...,E L );

[0067] 3) Construct the interval reliability matrix of the opening rate of architectural lighting equipment, the reliabil...

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Abstract

The invention discloses an evidence reasoning iterative algorithm and entropy weight based building illumination device switch-on rate simulation method. The method is implemented by the following steps of: 1) dividing a building illumination device switch-on rate (0-100%) into a finite number of intervals; 2) identifying factors influencing the building illumination device switch-on rate; 3) constructing a building illumination device switch-on rate interval credibility matrix; 4) calculating weights of the factors influencing the building illumination device switch-on rate; 5) performing building illumination device switch-on rate interval comprehensive credibility synthesis with an evidence reasoning iterative algorithm; 6) determining a building illumination device switch-on rate interval at a simulation moment and providing non-distributable credibility caused by incomplete information; and 7) repeating the steps 3) to 6) to obtain a building illumination device switch-on rate hour-by-hour value list of simulation time periods. According to the method, objective factors, subjective factors, quantitative factors and qualitative factors in the building illumination device switch-on rate simulation can be processed and the incomplete information in the simulation also can be quantitatively processed.

Description

technical field [0001] The invention belongs to the fields of building behavior energy saving, building environment and energy consumption simulation, and relates to a simulation method for opening rate of building lighting equipment based on evidence reasoning iterative algorithm and entropy weight. Background technique [0002] Building lighting equipment not only consumes energy itself, but also the heat released by lighting equipment during operation forms an important part of the summer cooling load of the building air conditioning system, which has a very important impact on building energy conservation. Building lighting energy consumption is an important part of building energy consumption. For example, in office buildings, lighting energy consumption usually accounts for 25% to 40% of the total building energy consumption (Zhou Xin et al. Analysis of measured data on lighting energy consumption of large office buildings and A Preliminary Study on Models. Journal of ...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 杨玉兰邰惠鑫张振彦
Owner ZHEJIANG UNIV OF TECH
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