Construction of Strong Electricity Construction Quality Control System for Building Electrical Installation Based on Fuzzy Clustering Algorithm

As a functional construction project, the building electrical installation project involves a wide range, and it has obvious characteristics of technicalization, complication, link and systematization. Once the building electrical installation project is actually constructed, some construction quality problems will occur in some links. In this paper, the construction of quality control system for strong electricity construction of building electrical installation based on fuzzy clustering algorithm is proposed. In this paper, the FCM (fuzzy c-means) algorithm in fuzzy cluster analysis is used to divide the measured data into suspicious data and reliable data, and form the initial classification matrix and the membership matrix of each classification matrix. The FCM algorithm is used to iteratively optimize the membership matrix of suspicious data and reliable data, so as to realize fuzzy clustering of measurement data and obtain the membership degree of good data measured by each quantity. The results show that the qualified rate of quality inspection after the implementation of the activity is 97.01%, which is 1.16 percentage points higher than the previously set target value of 95.85%. At the same missing rate, the filling accuracy decreases with the increase of missing attributes. The missing rate is 1.03%, and the filling accuracy is higher than 59.36%. It can be seen that the filling accuracy of multi-attribute missing values is higher when the missing rate is low.