面状地质要素智能综合算法与应用研究

地质图智能综合具有可重复、效率高等优点。面状地质要素是地质图中的主要要素，通过算法研究实现面状地质要素的智能综合，在地质图缩编过程中是十分必要的。本文根据地质图缩编技术的行业经验、计算机软件开发规范，以及年代—地质体关系、地质体接触关系和面状地质要素拓扑规则等面状地质要素综合的理论基础，设计智能综合算法的逻辑流程，并基于ArcEngine和C#开发环境，设计实现地质图综合过程中面状地质要素智能化综合算法。首先根据由新到老的顺序依次对面状地质要素边界点集进行抽稀，然后对抽稀后的边界点集进行边界圆滑，并对综合面状地质要素的结果进行自动拓扑检查，最后得到最终的综合结果。以郑州、洛阳及周边区域的4幅1:25万地质图缩编至1:50万地质图为例进行面状地质要素综合，缩编后地质图（1:50万）中面状地质要素综合效果经过地质专家评估并得到认可。综合结果符合地质要素的压盖关系和拓扑规则，同时可以高效、批量、准确地实现地质要素智能综合，综合效率大大提高，可节省80%以上的工作量。地质图缩编过程中面状地质要素智能综合算法具有实际应用价值，实现了理论与技术的生产转化，改善传统编图综合的工作模式，促进了缩编制图效率的提高，推动了行业技术的进步，可以投入到大规模的地质图缩编工作中。

Intelligent Generalization Algorithm and Application of Area Geological Features

The intelligent generalization of geological maps has the advantages of repeatability and high efficiency. Area geological features are the main elements in the geological map. It is very necessary to realize the intelligent generalization of area geological features through algorithm research in the process of downsizing of geological maps. Therefore, this paper is based on the industry experience of geological map downsizing technology, computer software development specifications, and the theoretical basis for the generalization of area geological features such as the relationship of time and geological body, the contact relationship of the geological body, and the topological rules of the area geological features. This paper designs the logical flow of the intelligent generalization algorithm based on the ArcEngine and C# development environment, designs and realizes the intelligent algorithm of the area geological features in the process of geological map generalization. The intelligent generalization algorithm first thins out the boundary point sets of the area geological features in the order from new to old, and then performs boundary smoothing on the thinned boundary point sets, and performs automatic topology inspection on the results of the generalization area geological features. Finally, the final intelligent generalization result is obtained. Take 4 geological maps of Zhengzhou, Luoyang, and surrounding areas from 1:250 000 to 1:500 000 scale as an example to generalize the area geological features, and the generalization effect of the area geological features in the geological map (1:500 000) after downsizing has been evaluated and recognized by geological experts. The general results conform to the capping relationship and topological rules of geological features. At the same time, intelligent generalization of geological features can be realized efficiently, batchwise, and accurately. The overall efficiency is greatly improved, and more than 80% of the workload can be saved. In the process of downsizing of geological maps, the intelligent generalization algorithm of area geological features has practical application value. It can realize the production transformation of theory and technology, improve the traditional work mode of geological generalization, promote the improvement of the efficiency of the geological maps downsizing, and promote the progress of industry technology. Therefore, the intelligent generalization algorithm can be used in large-scale geological map downsizing work.