Intelligent engineering management modeling for computer technology and data mining
| Autor: | Ning Feng, Mohammad Shabaz, Mohamed A. Elashiri, José Luis Arias-Gonzáles, Sushovan Chaudhury, Miami Abdul Aziz Al-Masoudy, Oluwadare Joshua Oyebode |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | International Journal of Modeling, Simulation, and Scientific Computing. |
| ISSN: | 1793-9615 1793-9623 |
| DOI: | 10.1142/s1793962324410101 |
| Popis: | The author suggests using computer technology and data mining in intelligent engineering management to increase the management capacity of engineering projects and decrease the consumption of construction expenses. The emphasis is mostly on theoretical and analytical approaches to problems of practical concern for data mining, perhaps in combination with other conventional tools, and the associated applications to engineers and managers of various industrial sectors. This has immediate benefits for both academic and applied data mining researchers as well as research students. The author developed a BIM project management system based on Browser/Server architecture and Client/Server architecture in conjunction with BIM technology and the BIM 4D model. To execute complete project management of business management, real-time control, and decision support, the system must establish and use its business logic and data exchange link. Each module in the 4D construction dynamic management subsystem recognizes dynamic management of the construction process, and the working duration of each module is determined by calculating by using the unified engineering decomposition principle, rationalizing the relevant data through time parameters, recording the acquired management data and storing it in the BIM database, and connecting the BIM database bi-directionally through the web server through the system integration. The results showed that when the time is 20[Formula: see text]min, the throughput of the system is higher than [Formula: see text][Formula: see text]kb/s. The system can effectively improve the project management ability, reduce the construction cost and construction period of the project, and the system responds quickly. |
| Databáze: | OpenAIRE |
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