In plotting a 1:50 000 soil map of China, color matching of soil types is required to manifest characteristics of the distribution of soil types or soil categories, higher in soil classification level than soil type, and to demonstrate, as well, differences between soil categories, low in soil classification level, like soil genera. As in soil classification, China has a huge number of low-grade soil taxons, and a 1:50 000 national soil map of China consists of at least 20 000 rolls of sectional soil maps, the use of the conventional manual coloring method in soil mapping is not only very low in efficiency, but also finds it hard to keep all these rolls of soil maps consistent in color. To solve this technical problem, a soil type color matching model (SCO-Model) was developed, based on the designing concept of human-computer interaction and the inter-roll similar color matching method, The SCO-Model consists of three major components: i) a multi-level management color table, ii) QC table for user to define color matching unit Q of soil types and 3 similar color systems or color groups for each Q, iii) five Sub-models, including a statistical analysis model for soil types, a threshold determination model for unit Q, a color selection model for unit Q, a calculating color-code model, and a browsing map model. Results show that the SCO-Model can not only manifest the characteristics of the overall distribution of soils in a region, and the differences between soil types, but also realize rapid intellectural color matching of soil types in large scale soil mapping.