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通过研究提出并实现一种智能渐进式传输策略，根据不同用户对三维模型精度需求的不同，有针对性的选择模型的下载精度，实现合理、有效的利润有限带宽，减少网络延迟。该策略以DOP-SLOD模型编码方法为基础，通过网络实现模型的智能渐进式传输，实现用户在浏览过程中模型平滑渲染的效果，传输精度由用户的需求确定，避免下载无用模型全部数据。通过实验，该策略实现了模型的流式传输，有效的减少了用户下载数据量，减少了数据传输网络延迟。“,”An intelligent progressive transmission strategy was proposed, which made the download accuracy more pertinently according to different requirements of different users. The limited bandwidth can be used reasonable and effectively. And network delay can be reduced. The strategy bases on the DOP-SLOD model coding method. 3D models can be rendered smoothly through the network when browsed by users. Transmission accuracy is determined by the needs of users that could avoid the downloading of useless model data. As the experiment shows, the strategy can realize the streaming transmission of model on network and reduce the network delay of data transmission.