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宋立立 ， 孫    妍

（ 北京市建筑設計研究院有限公司 ，北京 100045)

摘   要：針對民用建筑供電不穩定，評估結果的適應度和準確性較低的問題，基于決策樹 ，設計民用建筑供電可靠性智能評估算法 。提取民用建筑供電故障節點信息熵，結合信息源輸出平均信息熵與系統內的總信息熵，得到成功與失敗節點的信息熵；基于決策樹修正可靠性評估數據，對訓練樣本進行梯度排序與預測，引入隨機變量，獲取不同時段的數據組統計量；建立民用建筑供電可靠性評估模型，完成民用建筑供電可靠性智能 評估算法設計。試驗結果表明，在獲取網絡模型中的最佳節點數量后，最小均方差和平均適應度較優，保證評估算法的精度。

關鍵詞 ：決策樹算法 ； 民用建筑 ；供電可靠性 ；智能評估模型 ；可靠性評價

中圖分類號 ：TN06           

文獻標志碼 ：A            

文章編號 ：1005- 8249  (2023)   06- 0128- 06

DOI : 10. 19860/j . cnki . issn1005- 8249. 2023 . 06. 021

SONG Lili ,  SUN Yan

( Beijing Institute of Architectural Design ,   Beijing 100045 ,   China)

Abstract: Aiming at the problem of unstable power supply of civil buildings and low adaptability and accuracy of evaluation results, an intelligent evaluation algorithm for power supply reliability of civil buildings is designed based on decision tree. Extract the information entropy of power supply fault nodes of civil buildings, and obtain the information entropy of successful and failed nodes by combining the average information entropy of information source output and the total information entropy in the system; The reliability evaluation data is modified based on the decision tree, the training samples are graded and predicted, and the random variables are introduced to obtain the data group statistics in different periods; The power supply reliability evaluation model of civil buildings is established, and the intelligent evaluation algorithm design of power supply reliability of civil buildings is completed. The experimental results show that after obtaining the optimal number of nodes in the network model, the minimum mean square deviation and average fitness are better to ensure the accuracy of the evaluation algorithm.

Keywords: decision tree algorithm; civil buildings; power supply reliability; intelligent evaluation model; reliability evaluation;

作者簡介 ：宋立立  ( 1983—) ,   男 ，碩士 ， 高級工程師 ， 主 要研究方向 ：工業與民用建筑電氣系統設計。

收稿日期 ：2023- 05- 07