Automatic generation method of urban underground pipe network model

Abstract

The invention relates to an automatic generation method of an urban underground pipe network model. The method comprises the following steps of: (1) converting a plurality of data sources into standard data according to a uniform data standard and storing the data into an intermediate database; (2) calling standard data in the intermediate database through an automatic modeling algorithm to automatically generate an urban underground pipe network model; and (3) storing the generated urban underground pipe network model in a three-dimensional model library to carry out standardized output. Compared with the prior art, the method provided by the invention is capable of realizing the automatic conversion of three-dimensional models and reducing the complexity of the pipe network model establishing, and has relatively low cost.

Description

technical field [0001] The invention relates to a data processing method, in particular to an automatic generation method of an urban underground pipe network model. Background technique [0002] The research and application of underground pipeline network in foreign countries is earlier than domestic, and has accumulated rich experience. The United States, Singapore, Canada, Germany and many other countries have carried out the construction of underground pipeline network information systems such as drainage and petroleum. The ArcFM launched by the ESRI company in the United States can reasonably plan, design and maintain underground pipe networks for municipal, electric power, water supply and drainage and other departments. The software GeoGIS and GISX underground comprehensive pipe network management system developed and launched by German GEOGRAT company have successfully installed more than 1,600 sets in German-speaking regions, and are serving more than 200 cities in...

AI Technical Summary

Problems solved by technology

[0006] 1. Diversity of data collection: There are certain technical difficulties in the data collection of underground pipe network, which requires engineering measurement and detection amplification, which requires huge investment. Various instruments and equipment or historical data are used in various types, and there are various data formats, presenting characteristics of diversity;

[0007] 2. Modeling complexity: The 3D pipe network model constructed is too complex, resulting in slow system response and poor display effect, and high dependence on hardware;

[0008] 3. Huge workload: The data of the underground pipe network is complicated, and the total amount of various types of data is huge. Using traditional full or semi-manual modeling requires a lot of labor and a huge workload;

[0009] 4. Maintenance and update are cumbersome: With the rapid development of cities, the frequency of underground space changes is increasing, and underground pipe network data needs to be updated frequently. Using traditional modeling methods requires a lot of manpower to maintain and update data, and the cost is huge

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