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  4. Vol 10, Issue 1, 2026

Research on Engineering Cost Control and Optimization Methods Based on Big Data Technology

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DOI: 10.23977/acss.2026.100109 | Downloads: 11 | Views: 291

Author(s)

Dan Wang 1

Affiliation(s)

1 Urban Construction Department, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Dan Wang

ABSTRACT

The rise of big data technology has provided a new technological path for engineering cost control and optimization. This study systematically explores engineering cost control and optimization methods based on big data technology, analyzing them from three levels: theoretical foundation, key process optimization, and intelligent realization. At the theoretical level, it clarifies the core characteristics of big data and its application value in engineering management, combs the basic theories and methods of cost control, and constructs a fusion mechanism of big data and cost control. At the process optimization level, from the three dimensions of data collection and integration, improved processing and analysis capabilities, and dynamic monitoring and deviation analysis, it proposes a big data-based cost control process optimization path. At the intelligent realization level, it constructs a multi-factor integrated cost prediction model, establishes an intelligent decision support system for resource allocation, and forms a systematic framework for risk prediction and control strategies. The research shows that big data technology can significantly improve the scientific and refined level of engineering cost control, realize the paradigm shift from experience-driven to data-driven management, and provide theoretical support and practical reference for construction enterprises to promote the digital transformation of cost management.

KEYWORDS

Big Data Technology; Engineering Cost; Cost Control; Data-Driven; Intelligent Management

CITE THIS PAPER

Dan Wang. Research on Engineering Cost Control and Optimization Methods Based on Big Data Technology. Advances in Computer, Signals and Systems (2026). Vol. 10, No. 1, 69-75. DOI: http://dx.doi.org/10.23977/acss.2026.100109.

REFERENCES

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[4] Xue Cai Feng. Research on the Fine Cost Control Strategy of Architectural Engineering Cost Management [J]. New City Construction Technology, 2025, 34(07): 190-192.
[5] Lin Liqin. Information Management and Cost Control Strategies of Engineering Cost Based on Big Data [J]. Bulk Cement, 2025, (03): 164-166.
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[8] Zhang Wei, Li Tian Tian. Construction Project Cost Control Based on Big Data Technology [J]. Construction and Budget, 2025, (02): 49-51.

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