Data Quality Collaborative Evaluation Method for Substation Robot Inspection Using Weighted Nested Decision Tree
Collaborative data quality evaluation method for substation robot inspection using weighted nested decision tree is proposed to address the challenges in data quality assessment,like single completion subjects and subjective evaluation methods.Firstly,a collaborative evaluation framework for data quality of substation robot inspections is developed.Secondly,an index system is established with four indicators,such as data timeliness,integrity,accuracy and repeatability,each with specific evaluation rules.Based on this,the quality evaluation model for substation robot inspection data is proposed using weighted nested decision tree.Finally,the effectiveness and superiority of the proposed method are proved with inspection data from substation inspection robot A.The results indicate that the proposed evaluation method aligns with expert assessment and outperforms the weighted decision trees.The proposed collaborative evaluation framework helps to achieve real-time evaluation of inspection data quality.
万方数据
维普
