
Powered by intelligent algorithms such as soil and water conservation forecast models, digital scenarios visualize objects and elements. The management platform ensures efficient governance, and data rules continuously improve digital applications.


It builds AI-based key factor calculation modules and automatic soil erosion calculation modules to achieve monitoring area statistics, dynamic change analysis, thematic analysis and data reconstruction.

Based on calculation results and relevant achievements, it completes result statistics and dynamic change analysis, realizes internal review and reporting, and supports monitoring, management, evaluation and decision-making for soil and water conservation.

Guided by digital twin water conservancy design, it builds a "4 Platforms, 5 Businesses, 1 Map" framework for the national soil and water conservation monitoring station optimization platform. The 4 core platforms include data foundation, model, knowledge and infrastructure; 5 businesses cover full-process monitoring & evaluation; 1 Map serves multi-level users with on-demand data/algorithm/ computing power access.
Based on VR & simulation modeling, it digitally maps small watershed soil loss monitoring, dynamic changes and hazard scenarios. It supports historical scenario replay and future trend prediction for precise decision-making, with data management, model calibration, visualization and equipment management functions.


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