Safe management method for three-dimensional pipe network

Abstract

The invention relates to a safe management method for a three-dimensional pipe network, which comprises the steps of: preprocessing remote sensing image data, digital elevation model data and three-dimensional architectural model data, establishing a three-dimensional digital urban system, and importing three-dimensional pipe network data to establish a spatial database; preprocessing the three-dimensional pipe network data, and establishing a network analytical method model based on a topology network of a underground pipe network; and based on the historical data of the pipe network, establishing a safe evaluation model of the three-dimensional pipe network by combining the current application situation of the industry in our country and national related standards. Based on the spatial database, an assisted decision support method for the safe evaluation and emergency treatment of the three-dimensional pipe network realizes the network analysis, safe evaluation and emergency analysis of accidents of urban pipe networks which are displayed in a three-dimensional digital urban system visually.

Description

【Technical Field】 [0001] The invention relates to the field of computer technology, in particular to a method for safety management of a three-dimensional pipe network. 【Background technique】 [0002] With the development of urban construction, the urban pipeline network is a complex and huge pipeline system, and its management is very complicated and difficult. Therefore, how to meet the increasingly large urban pipeline network planning and management is the urban management and pipeline network One of the difficulties faced by construction. [0003] The pipe network management method based on pipe network graphics and manual experience is a management method often used in traditional urban pipe network management. Managers usually obtain pipe network data based on experience and cannot make scientific predictions. This management method has poor data quality, long periods, and usually conducts a comprehensive survey at intervals of several years, and cannot grasp the dynamic ch...

AI Technical Summary

Problems solved by technology

Managers usually obtain pipe network data based on experience and cannot make scientific predictions. The data quality of this management method is poor, the cycle is long, and a comprehensive census is usually carried out at intervals of several years, which cannot grasp the dynamic characteristics of urban underground pipe networks.

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