What does this research mean for the field?

An automated earthwork estimation method integrating multi-source remote sensing and Building Information Modeling (BIM) via CNN-based data fusion achieves highly accurate calculations (error ≤ 3.5%) while improving efficiency by 73% and reducing transportation volume by 35% in power grid construction. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Develop an automated earthwork identification and quantity estimation method for power grid construction by integrating multi-source remote sensing with Building Information Modeling (BIM).

September 3, 2026Tehnicki vjesnik - Technical GazetteOpen Access

Intelligent Earthwork Identification and Automated Engineering Quantity Estimation in Power Grid Construction with Multi-Source Remote Sensing and BIM

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Develop an automated earthwork identification and quantity estimation method for power grid construction by integrating multi-source remote sensing with Building Information Modeling (BIM).
Acquired multi-source spatial data using unmanned aerial vehicle (UAV) tilt photography, satellite remote sensing, and airborne LiDAR.
Fused data at the pixel level via a convolutional neural network (CNN) with an attention mechanism to generate centimeter-level digital elevation models (DEMs).
Created a parametric BIM terrain workflow using the triangulation volume method to compute fill and excavation volumes, combined with an operations research algorithm for earthwork allocation.
Achieved a −0.14% total earthwork calculation error relative to traditional reference values, with individual transmission tower foundation errors ≤ 3.5%.
Reduced process duration from 10 to 2.7 person-days, reflecting a 73% improvement in computational efficiency.
Decreased on-site earthwork transportation volume by approximately 35% through algorithmic optimization.

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Implication

Validation study demonstrates automated earthwork volume estimation in transmission projects, indicating reduced calculation time and transportation costs.

Cite This Study

Pu et al. (2026) studied this question.

synapsesocial.com/papers/6a9934ea636c6408cfa7cb9c https://doi.org/10.17559/tv-20251031003105

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Implication

Validation study demonstrates automated earthwork volume estimation in transmission projects, indicating reduced calculation time and transportation costs.

Intelligent Earthwork Identification and Automated Engineering Quantity Estimation in Power Grid Construction with Multi-Source Remote Sensing and BIM

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Implication

Cite This Study

Intelligent Earthwork Identification and Automated Engineering Quantity Estimation in Power Grid Construction with Multi-Source Remote Sensing and BIM

Key Points

Discussion

Implication

Cite This Study

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