Research on an Automated Cross-Section Mapping System for Water Conservancy Projects Based on Multi-Source Heterogeneous Data

With the structural diversification and complexity of survey data in water conservancy projects, traditional cross-section processing software is constrained by limitations such as weak data recognition capability, low feature extraction efficiency, and poor multi-format compatibility, making it difficult to meet the requirements of refined design and management for modern water conservancy projects. Based on the ArcGIS Engine component-based development model, it constructs a measurement integrated processing system for water conservancy project cross-sections that targets multi-source heterogeneous data. The system solves the problem of efficient and accurate extraction of cross-section feature points from structurally diverse datasets, and achieves organic integration with modules including automatic pile number calculation, human-computer interactive editing, and cross-section mapping—significantly enhancing the automation level of data processing and result output. Application results from engineering cases demonstrate that the system not only features user-friendly operation and strong adaptability, but also exhibits excellent performance in processing efficiency, data compatibility, and result standardization.