Design And Implementation Of Missing Items Detection System In Construction Project Bidding List

In order to promote the informationization of the construction industry,to "accelerate" and "reduce the burden" for some of the tedious cost work.This article studies the missing item detection of the construction project bid list and develops a missing item detection system for the construction project bid list,which realizes the "one-click" query of the construction project bid list detection,thereby avoiding the cost management risk and investment risk caused by the missing items in bid list as much as possible.The detection of missing item have reduced the large amount of labor and time costs for the detection of missing items in the bidding list in the daily production and life of the construction industry.In order to detect the missing items in the construction bid list,first use VBA code to export the text data of the bid list Excel file to the bid list文本file,and secondly use the Hanlp word segmentation toolkit to segment and remove the text data of the bid list文本file Processing,using the Levenshtein edit distance algorithm to integrate multiple bidding segments of a construction project,the next step is to comprehensively use the Levenshtein edit distance algorithm and short text vector similarity algorithm to calculate the short text similarity to complete the list of different construction projects Comparison and text classification,generate a standard database of construction project bid list and complete the task of detecting missing items in construction project bid list.To realize the “one-click” query for the detection of missing items in the bidding list of construction projects,a system for detecting the missing items in the bidding list of construction projects based on the B / S architecture was developed.After logging in to the system,the user inputs the information of the bidding list of the construction project waiting for detection,then the user can quickly obtain the detection results of the missing items in the bidding list of the construction project,the miss item detection accuracy rate can reach 85.7%,which will provide a certain reference for the decision-makers of the construction project cost management when review the the accuracy of the bidding list.