A virtual reality-based intelligent water conservancy engineering planning simulation method and system
By constructing a virtual reality-based intelligent water conservancy engineering planning simulation system, the problem of low efficiency in multi-dimensional impact assessment and multi-stakeholder collaborative decision-making in traditional water conservancy engineering planning has been solved. It enables intuitive understanding of multi-dimensional impacts and cross-disciplinary collaborative design, thereby improving the scientific nature and efficiency of planning decisions.
Patent Information
- Authority / Receiving Office
- CN ยท China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUBEI JIANKE INT ENG CO LTD
- Filing Date
- 2026-03-17
- Publication Date
- 2026-07-03
AI Technical Summary
Traditional water conservancy project planning models suffer from low efficiency in multi-dimensional impact assessment and multi-stakeholder collaborative decision-making. They lack intelligent integration of multi-source heterogeneous data, deep integration of multi-professional computing models, and multi-person online collaborative interaction, resulting in insufficient scheme comparison, delayed risk identification, high cross-departmental communication costs, and difficulty in substantively expressing public opinions.
A virtual reality-based intelligent water conservancy engineering planning simulation system is constructed. Through multi-source data fusion and multi-professional model integration, a virtual reality scene for multi-person online collaboration is generated, supporting multi-dimensional comprehensive evaluation and real-time scheme comparison, and providing an intuitive and interactive simulation environment.
It enables an intuitive understanding of multi-dimensional impacts, cross-disciplinary collaborative design, and the achievement of consensus among multiple parties, thereby improving the scientific nature, transparency, and efficiency of planning decisions, lowering the threshold for understanding, and promoting the integration of industrial data and knowledge reuse.
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