Research on Intelligent Evaluation Method of Building Construction Quality Based on Big Data Under the Influence of Multiple Factors

摘要

In order to solve the problems of large errors and low consistency in traditional evaluation methods, the intelligent evaluation method of building construction quality is studied in a multi-factor environment combined with big data method. By calculating the index weight coefficient of building construction quality evaluation elements, the consistency index parameters, diversity index and randomness index of building construction quality are obtained. According to the index, the evaluation grade of building construction quality evaluation index is divided, the building construction quality evaluation index system is established, and the evaluation steps of the evaluation index system are optimized. Finally, the research requirement of accurately evaluating the construction quality under the influence of multiple factors is met. Experiments prove that the intelligent evaluation method of building construction quality based on big data under the influence of multiple factors has relatively higher consistency and smaller error compared with the evaluation results of traditional methods, which fully meets the research requirements.