Research On The Application Of Big Data Technoligy In Constr Uction Enigneering Bidding Audit

The procurement of construction projects and related important equipment and materials within the territory of China in accordance with the provisions of the Tendering and Bidding Law shall be subject to tendering and bidding.Since the implementation of the bidding system for construction projects in China,great achievements have been made,which ensures the fairness and justice of the parties involved in the bidding for construction projects to the maximum extent and enhances the transparency of the bidding process.But it is undeniable that the construction project bidding process in violation of laws and regulations,especially the surrounding bidding behavior is still emerging in endlessly,disrupting the normal bidding market order.Although the state also attaches great importance to the management of the issue of enclosed bidding and group bidding,and has also introduced relevant laws and regulations,but because of its strong concealment,the state has some loopholes in some aspects of supervision,giving bidders a chance,so far has not been able to fundamentally eliminate the occurrence of such illegal acts.Now our country still stay in the construction engineering bidding audit traditional audit stage,usually using the RFP,text information such as the book of tender to audit,the audit approach in the bidding process for standard series standard audit is the existence of limit,because produce standard series standard around this kind of behavior,more involved in the interests of the relatively large data information,It is difficult to collect audit evidence.It is impossible to compare the historical data of all bidders with the traditional audit mode,so it is impossible to quickly identify the bidding enclosing and bunching behaviors in the construction bidding process.With the development of science and technology,information plays a pivotal role in society.The more data and information we have,the more comprehensive it will be,and the greater the probability of success will be.In today’s society,traditional audit methods have been unable to meet the audit needs.Big data technology can not only help auditors collect audit data more comprehensively,but also help auditors to analyze and organize the collected data and information,analyze the results quickly,and improve the effectiveness of audit work.When auditors audit the bidding process of construction projects,they can collect as much data and information about the bidding process as possible with the help of big data technology.For example,bidders’ past bidding experience,web browsing traces and so on,which are the basis for auditors to conduct audit work.This paper mainly revolves around among bidders around the collusion behavior as the research object,in the related literature at home and abroad,books,etc,on the basis of the cause of standard series standard,finishing the audit content,draw a scarf standard series standard of audit collusion behavior found difficult to audit the difficulty,and then by big data technology building about complex networks,Louvain algorithm is used to analyze the community structure in the community,and then the analysis index of the complex network is calculated to comprehensively analyze the largest suspect suspected of bidding and string bidding in the bidding process,so as to solve the audit difficulties.Finally,a case is used for empirical analysis.