CN-121981555-A - Big data intelligent analysis early warning platform and method for building engineering industry

CN121981555ACN 121981555 ACN121981555 ACN 121981555ACN-121981555-A

Abstract

The invention provides a big data intelligent analysis early warning platform and method for the construction engineering industry, which belong to the technical field of construction management and specifically comprise the steps of determining real-time updated data of concerned bidding companies, determining that an early warning processing strategy of the concerned bidding companies needs to be optimized in combination with the distribution coincidence condition of the concerned bidding companies in different construction engineering projects, determining bid item data of the bidding companies when the concerned bidding companies do not belong to the concerned bidding companies, determining a data processing method of the bidding companies in combination with the distribution data of the associated bidding companies in different bidding projects, analyzing and processing string risk conditions among the bidding companies by utilizing the data processing method and item files, and determining an early warning management method according to the analysis data of the string risk conditions of the bidding companies and the string risk identification data of the bidding items of the bidding companies.

Inventors

LI MINGMING
LU LIDONG
MA JINTAO
Chi Qiuping
Zhong Moyan
QIU ZHIXUAN
FENG JIN
MEI YUHAI
Fu Ruoyun

Assignees

浙江建投数字技术有限公司

Dates

Publication Date: 20260505
Application Date: 20260205

Claims (10)

1. The intelligent analysis and early warning method for big data in the construction engineering industry is characterized by comprising the following steps: Determining bidding companies of the building engineering projects based on the bidding data, and determining the bidding companies needing to be monitored and analyzed in real time from among the bidding companies as concerned bidding companies according to the distribution data of the bidding companies in different building engineering projects and the similarity of the bidding companies of the building engineering projects; Determining real-time update data of the concerned bidding company, combining the distribution coincidence condition of the concerned bidding company in different building engineering projects, and entering the next step when the early warning processing strategy of the concerned bidding company needs to be optimized; When the bidding company does not belong to the concerned bidding company, determining bid-winning item data of the bidding company, and determining a data processing method of the bidding company by combining distribution data of associated bidding companies of the bidding company in different bidding items; And analyzing and processing the string risk conditions among the bidding companies by using the data processing method and the project file, and determining an early warning management method according to the analysis data of the string risk conditions of the bidding companies and the identification data of the string risk of the bidding items of the bidding companies.
2. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 1, wherein the bidding data is determined according to bidding conditions of companies in different projects.
3. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 1, wherein the bidding company of the construction engineering project is a company bidding in the construction engineering project.
4. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 1, wherein the similarity of bidding companies of the construction engineering project is determined according to the overlapping number of the bidding companies of the construction engineering project.
5. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 1, wherein the method for determining the concerned bidding company is as follows: Taking the building engineering target bidding by the bidding company as a bidding project; determining the overlapping quantity of bidding companies among different bidding projects according to similar conditions of the bidding companies among different bidding projects; And determining whether the bidding company is concerned bidding company according to the bidding projects of the bidding company and the superposition quantity of the bidding companies among different bidding projects.
6. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 5, wherein if the number of bidding items of the bidding company is smaller than a preset bidding item number threshold, it is determined that the bidding company does not belong to a bidding company of interest.
7. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 1, wherein the determining that the early warning treatment strategy of the bidding company needs to be optimized comprises the following steps: Determining the updated quantity of the concerned bidding company in the latest preset time period according to the real-time updated data of the concerned bidding company; Determining the quantity ratio of the concerned bidding company in the bidding company of the building engineering project in the building engineering project according to the distribution superposition condition of the concerned bidding company in different building engineering projects, and taking the quantity ratio as the concerned quantity ratio; and determining whether optimization processing of the early warning processing strategy of the bidding company is needed according to the updated quantity of the bidding company in the latest preset time period and the proportion of the concerned quantity in different constructional engineering projects.
8. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 1, wherein the method for determining the early warning management method is as follows: Determining a bidding company for data processing according to analysis data of the bidding risk condition of the bidding company and string risk identification data of bidding items of the bidding company, taking the bidding company as a data processing company, and taking building construction items bidding by the data processing company as bidding items; The bid company which does not have the bid item focused on the bid company is taken as other bid items, and the bid company which does not utilize the item file to carry out string risk identification processing is taken as an unidentified company according to the other bid items; And determining the early warning management method of the bidding company according to the other bidding project data and the similar conditions of unidentified companies of different other bidding projects.
9. The intelligent analysis and early warning method for big data in the construction engineering industry according to claim 8, wherein when the number ratio of the other bidding items in the bidding items of the data processing company is greater than a preset value, the bidding company is regarded as a concerned bidding company as long as there is a potential string risk between the bidding company and the other bidding company, and early warning management of the string risk is performed by using internet data.
10. The big data intelligent analysis and early warning platform for the construction engineering industry adopts the big data intelligent analysis and early warning method for the construction engineering industry according to any one of claims 1 to 9, and is characterized by comprising the following specific steps: the system comprises a company screening module, a data processing module and an early warning management module; the company screening module is responsible for determining bidding companies for real-time monitoring, analysis and processing; The data processing module is responsible for determining a data processing method of the bidding company; the early warning management module is responsible for determining an early warning management method.

Description

Big data intelligent analysis early warning platform and method for building engineering industry Technical Field The invention belongs to the technical field of building management, and particularly relates to a big data intelligent analysis and early warning platform and method for the building engineering industry. Background In the field of construction engineering, "personnel spoilage" behavior (e.g., cross-bidding, illegal changes, sub-filling of materials, false reporting of engineering quantities, receipt rebates, etc.) is one of the core risks leading to project quality hazards, cost runaway, safety accidents, and even significant social losses. The current anti-corrosion supervision means mainly have the following limitations: The supervision lag and the passivity are that the trust report, audit and post-examination are relied on, and the method belongs to a mode of post-responsibility and cannot effectively early warn and intervene in the occurrence process or before the occurrence of the spoilage behavior. The information fragmentation and concealment are that the spoilage clues are often hidden in massive bidding documents, contracts, change orders, payment vouchers, bill of materials, engineering logs and communication records, manual examination such as sea fishing needle is performed, and cross departments and cross business data barriers make correlation analysis difficult. The risk investigation is highly dependent on personal experience and occupational sensitivity of a supervisor, lacks standardized and data-driven risk assessment tools, is easy to miss and has different standards, so that the identification processing of the bid string risk of a bidding company becomes a technical problem to be solved urgently. Therefore, a need exists for a large data intelligent analysis and early warning platform and method for the construction engineering industry. Disclosure of Invention In order to achieve the purpose of the invention, the invention adopts the following technical scheme: specifically, the application provides a big data intelligent analysis and early warning method for the construction engineering industry, which specifically comprises the following steps: S1, determining bidding companies of building engineering projects based on bidding data, determining bidding companies needing to be monitored and analyzed in real time in the bidding companies according to distribution data of the bidding companies in different building engineering projects and similar conditions of the bidding companies of the building engineering projects, and taking the bidding companies as concerned bidding companies; S2, determining real-time update data of the concerned bidding company, combining the distribution coincidence condition of the concerned bidding company in different building engineering projects, and entering the next step when the early warning processing strategy of the concerned bidding company needs to be optimized; S3, when the bidding company does not belong to the concerned bidding company, determining bid-winning item data of the bidding company, and combining distribution data of associated bidding companies of the bidding company in different bidding items to determine a data processing method of the bidding company; S4, analyzing and processing the string risk conditions among bidding companies by using the data processing method and the project file, and determining an early warning management method according to the analysis data of the string risk conditions of the bidding companies and the identification data of the string risk of the bidding project of the bidding companies. The invention has the beneficial effects that: The system can automatically and accurately screen out 'concerned bidding companies' with abnormal behavior patterns (such as high-frequency coincidence, small masses bidder ring and avoidance of competition) from massive bidding companies by determining concerned bidding companies through distribution data of the bidding companies in different construction projects and similar conditions of the bidding companies of the construction projects, namely, performing bid project coincidence analysis, liveness and aggregation judgment, so that the passive pattern depending on reporting or random spot checking is changed, and supervision resources are directly aimed at 'suspected target'. Through bid-winning project analysis and associated network evaluation, the system can intelligently decide which companies are started with high-cost bid-winning project file deep analysis, which ensures that deep investigation is only used for the most suspicious (bid-winning, associated network is complex and cooperative and compact), and greatly improves the input-output ratio of investigation resources. The method is characterized in that the method determines an early warning management method according to analysis data of the string bid risk condition of a bidding company a