Assessment of Construction Quality Evaluation System for Building Renovation Considering Adaptive Particle Swarm Algorithm

Abstract

This paper is based on the adaptive particle swarm algorithm to systematically evaluate the quality of building decoration construction, and to study the quality evaluation of the construction and installation of the main part of the building, the envelope structure, the roof structure, the decoration engineering, the foundation, and earthworks. Adaptive particle swarm algorithm model was established using samples of secondary quality control indicators and primary quality control indicator weighting coefficients in four aspects of building decoration performance testing, structural engineering quality records, structural engineering dimensional deviations and limit measurements, and structural engineering perception quality to predict the primary indicator weighting coefficients. The result obtained from the prediction is: the error between the predicted value and the target value is small, which meets the accuracy requirement. This proves the feasibility of the calculation of the weighting coefficients of quality control indicators, provides favourable data support for the establishment of the construction quality evaluation system and gives the quality evaluation formula of the main part and the enclosure part of the assembly building renovation structure, which is a useful attempt in the evaluation of project quality. The feasibility of calculating the weighting factors of relevant quality indicators is demonstrated. The importance of quality indicators in the quality evaluation process is pointed out, and the scoring formula for quality evaluation is given, which provides a reference for the construction of a quality evaluation system.