Abstract
With the advent of the big data era, information technology and intelligent algorithms are more and more widely used. In the engineering project management industry, big data technology and dynamic modeling have achieved good results. Enterprises attach great importance to the innovation of engineering project management. The establishment of engineering management and quality optimization innovation model can improve the management efficiency of engineering project process and enable enterprises to obtain great advantages in market competition. The use of big data technology can make project management and quality innovation more information-based and intelligent. Based on the above situation, this paper puts forward the research on discrete dynamic modeling of engineering management and optimization innovation mode based on big data intelligent algorithm. It mainly uses big data technology to collect and classify the obtained data information and uses discrete dynamic modeling technology to optimize the management system, focus on the management and innovation of green engineering, use big data dynamic modeling technology to build engineering management model, and improve the balance of project model through intelligent planning algorithm. The experimental results show that the big data intelligent algorithm combined with discrete dynamic modeling technology increases the applicability and feasibility of the system. The accurate data after big data analysis can be used for quality supervision and detection, which not only improves the project quality problems but also improves the management efficiency of the project.
Highlights
With the advent of the big data era, information technology and intelligent algorithms are more and more widely used
It mainly uses big data technology to collect and classify the obtained data information and uses discrete dynamic modeling technology to optimize the management system, focus on the management and innovation of green engineering, use big data dynamic modeling technology to build engineering management model, and improve the balance of project model through intelligent planning algorithm. e experimental results show that the big data intelligent algorithm combined with discrete dynamic modeling technology increases the applicability and feasibility of the system. e accurate data after big data analysis can be used for quality supervision and detection, which improves the project quality problems and improves the management efficiency of the project
With the support of big data environment, we first need to understand the law of data change and carry out dynamic and intuitive regulation, to meet the diversified management needs of engineering project activities (Xu) [2]. erefore, in the era of big data, it is very important for the intelligent development and innovation of engineering project management. e basic big data technology can collect, process, and store most of the information generated in the project activities and realize the effective control of information and data
Summary
The main factor affecting project management is that the management mode does not adapt to the development of the data age. e project management mode itself is a complex process. ere are many management links for each project, and the types and working methods of engineering personnel are different (Tian) [8]. is situation leads to the standardization of engineering management and the detection difficulty of quality management. e quality problems in engineering construction are different from other production links, and the quality change is dynamic and unstable (Shang) [9]. ere is a contradiction between instability and real time in general project quality. erefore, the corresponding quality management and quality inspection must be improved in combination with the actual development status. Erefore, it is necessary to analyze and detect the concealment quality by means of discrete dynamic modeling technology or intelligent algorithm. Is paper proposes big data intelligent algorithm and discrete dynamic modeling technology to solve the above problems. Ey use the scheduling function of the combination of intelligent algorithm and dynamic programming to study enterprise human resource management in the big data environment (Wang) [11]. Is study constructs a discrete dynamic model based on big data to uniformly collect, regulate, and manage the dynamic changes of human resources. This research improves the work efficiency of human resource management system. Based on the development status of big data intelligent algorithm and discrete dynamic modeling technology in various countries, this technology is used in engineering project management and quality inspection
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
