Engineering cost risk monitoring method and engineering cost management platform

By collecting and standardizing multi-source data in real time, and combining big data analysis, knowledge graphs, and blockchain evidence storage, the problem of data silos in engineering cost management has been solved, enabling intelligent risk monitoring and contract performance, and improving the accuracy and efficiency of engineering cost management.

CN120833065AInactive Publication Date: 2025-10-24许馨竹
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Patent Information

Application Number
CN202510989970.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-17
Publication Date
2025-10-24
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional engineering cost management suffers from data silos, which prevents the real-time sharing and interaction of key data, lacks real-time risk monitoring and automated verification, and leads to frequent cost disputes, increased costs, and unreliable contract performance guarantees.

Method used

By collecting and standardizing multi-source data in real time, and combining big data analysis, knowledge graphs, artificial intelligence prediction and blockchain evidence storage, risk factors can be identified and correlated, enabling intelligent early warning and contract performance monitoring, and dynamic adjustment of cost plans.

Benefits of technology

It has achieved accuracy and timeliness of key data such as construction progress and cost expenditure, improved the depth and breadth of risk identification, reduced the decision-making error rate, enhanced the transparency and credibility of contract performance, and improved the intelligence level and economic benefits of project cost management.

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Abstract

The invention discloses a project cost risk monitoring method and a project cost management platform, and the method comprises the steps: S1, carrying out the real-time collection and standardization processing of multi-source data: collecting dynamic data in real time through an Internet of Things device at a construction site, carrying out the butt joint of a design drawing, a financial system and the like, obtaining static data, and employing a data cleaning, conversion and integration technology; s2, carrying out risk factor identification and correlation analysis based on a knowledge graph; s3, implementing risk quantitative prediction and early warning driven by artificial intelligence; s4, real-time monitoring and automatic verification of contract performance of blockchain enabling are realized; s5, providing dynamic cost adjustment and optimization decision support; through real-time collection and standardization processing of multi-source data, data islands of all parties participating in a project are broken, and accuracy, integrity and timeliness of key data such as construction progress and cost expenditure are ensured. Based on big data analysis and artificial intelligence prediction, more accurate risk assessment and cost prediction are provided for project managers.
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