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Research on Dynamic Cost Monitoring and Linear Programming Optimization for Old Residential Area Renovation Projects Based on Internet of Things and Big Data

In: Proceedings of the 2025 Seminar on Modern Property Management Talent Training Enabling New Productive Forces (MPMTT 2025)

Author

Listed:
  • Shu Zong

    (Kunming University of Science and Technology, Faculty of Architectural Engineering Oxbridge College)

  • Peng Liu

    (Kunming University of Science and Technology, Faculty of Architectural Engineering Oxbridge College)

  • Yu Su

    (Kunming University of Science and Technology, Faculty of Architectural Engineering Oxbridge College)

  • Junhui Che

    (Kunming University of Science and Technology, Faculty of Architectural Engineering Oxbridge College)

Abstract

This study focuses on the dynamic cost monitoring and linear programming optimization of old residential area renovation projects based on the Internet of Things (IoT) and big data. By deploying IoT devices in the renovation projects to collect data in real time and utilizing big data technology for storage, management, and analysis, a dynamic cost monitoring system is established. Simultaneously, a linear programming model is constructed to achieve reasonable cost allocation and optimal control, thereby enhancing the economic and social benefits of the projects. The innovation of this study lies in combining IoT, big data, and linear programming optimization methods to address the insufficient integration of intelligent renovation and cost optimization in existing research. The effectiveness of the proposed method is validated through five practical cases, and the results indicate that it can effectively reduce costs and improve resource utilization efficiency, providing support for the sustainable development of old residential area renovation projects.

Suggested Citation

  • Shu Zong & Peng Liu & Yu Su & Junhui Che, 2025. "Research on Dynamic Cost Monitoring and Linear Programming Optimization for Old Residential Area Renovation Projects Based on Internet of Things and Big Data," Advances in Economics, Business and Management Research, in: Xiaoying Deng & Maimunah Sapri & Muhammad Najib Mohamed Razali & Noorsidi Aizuddin Bin Mat Noor (ed.), Proceedings of the 2025 Seminar on Modern Property Management Talent Training Enabling New Productive Forces (MPMTT 2025), pages 50-66, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-778-6_8
    DOI: 10.2991/978-94-6463-778-6_8
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