Database creation method and database creation system for one-stop pipeline detection

Abstract

The invention relates to a database creation method and a database creation system for one-stop pipeline detection. The database creation method comprises the following steps of: step 1, importing base map information in a GNSS handbook, and measuring and checking, so as to ensure that the accuracy error of a control parameter is in the required range; step 2, recording pipeline attribute data by the GNSS handbook, so as to acquire space information; step 3, processing the attribute information and the space information, and drawing the pipeline data into a map, so as to obtain complete pipeline data; step 4, checking and correcting the pipeline data; step 5, exporting the pipeline data as a file with an intermediate data format and meeting the storage requirements of a GIS pipeline information management system. According to the method, the work of exploration, measurement and data processing in the field can be synchronously finished, and attribute database creation and data mapping are realized on the handbook, and can be superposed with topographic data, thus realizing the integrated one-stop data acquisition and database creation of exploration, measurement and data processing.

Description

technical field [0001] The invention relates to a data library building method and system for one-stop pipeline detection. Background technique [0002] Traditional pipeline detection data database construction method [0003] Pipeline detection refers to the use of specific equipment to detect the direction and buried depth of underground pipelines without excavation, measure the coordinates and draw a map to achieve visual map management. This process integrates technologies and methods such as geophysical prospecting, survey, measurement, data processing, and GIS. The process of geophysical exploration and investigation is generally called exploration. It not only determines the direction and buried depth of underground pipelines, but also investigates the properties and characteristics of pipelines such as material and pipe diameter. The measurement process is used to determine the plane position coordinates and elevation of pipelines. The data processing process uses ...

AI Technical Summary

Problems solved by technology

[0018] 1) Manual paper records are difficult to maintain and have poor traceability

[0019] Due to the limitations of paper records, when the amount of data increases, it will become more and more difficult to maintain and query the drawing records. If the data is not processed in time due to the large amount of data, it will inevitably cause hidden problems or errors. , misconnection, leakage, etc., the probability of human error will increase linearly

[0020] 2) The process of building a database is long, and the probability of error is high

Under the influence of different personnel and different processes, the probability of data error is increased

[0022] 3) Low work efficiency

However, for the owners and managers of the pipeline, due to different goals, its main business is to operate and manage the pipeline, not to detect the pipeline. There is no manpower and technology to deal with this business, and it cannot be dynamically updated later

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