Method for detecting and repairing abnormal data of drainage pipe network GIS

Abstract

The invention provides a drainage pipe network GIS abnormal data detection and restoration method. The method comprises the following steps: firstly, preprocessing drainage pipe network GIS data; writing query and repair rules in an ArcGIS ''topology'' tool box and SQL Server database software to process topology exceptions; constructing an attribute item semi-automatic classification method basedon a Jaccard similarity coefficient matrix to classify and repair text attribute items of the drainage pipe network; an upstream and downstream pipe diameter filling method based on rules is providedfor abnormal pipe diameter detection and repair; and based on the least square method, the detection and repair of the abnormal pipe section elevation and the abnormal inspection well elevation at the multi-pass node are realized. Based on the method, a MATLAB language is adopted to develop a corresponding program, man-machine interaction type drainage network abnormal data detection and restoration are achieved, the method has certain universality to solve various main data abnormal problems of the drainage network, and the data quality of the drainage network can be effectively helped to beimproved.

Description

technical field [0001] The invention belongs to the technical field of drainage pipe network GIS, and in particular relates to a method for detecting and repairing abnormal data of the drainage pipe network GIS. Background technique [0002] The usefulness of urban drainage network GIS system is inseparable from high-quality data, and inaccurate drainage network data will affect the modeling, operation analysis and management plan decision-making of drainage network. Almost all GIS databases of urban drainage network in my country have different degrees of data quality problems, which requires reasonable and effective maintenance and management of the GIS database of drainage network, and timely supplement, modification and improvement according to changes in actual conditions. Perfect to ensure the accuracy, effectiveness and timeliness of the urban drainage system GIS database. [0003] The current research on data defects and data anomalies in drainage pipe networks is ma...

AI Technical Summary

Problems solved by technology

There is little research on anomaly detection and repair of numerical attributes such as text attribute repair, pipe diameter and elevation, and there is no efficient and reliable method to detect and repair these abnormal data

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