Method for automatically measuring urban parts

Abstract

The invention discloses a method for automatically measuring urban parts, belonging to the field of laser radar measurement. The method comprises the following steps of: carrying out field scanning and camera photographing in high density on urban streets and two sides of the urban streets by utilizing vehicle-mounted laser radar measuring equipment to obtain original laser scanning point cloud data and digital photo data; filtering and classifying the original laser scanning point cloud data to obtain the point cloud data of the urban parts; carrying out category subdividing treatment on thepoint cloud data of the urban parts by adopting a self-adaption space cluster analysis means to obtain point gathering data of the same object; carrying out regularly geometric three-dimensional digital simulation and reconfiguration according to the point gathering data of the same object to figure out a plane geometrical center position of the urban parts, wherein the plane geometrical center position of the urban parts is used as a plane measurement coordinate value of the urban parts; superposing the digital photo data and the point gathering data of the same object, and carrying out information annotation on a corresponding point position value in an attribute library according to the plane measurement coordinate value of the urban parts.

Description

An automatic measurement method for urban components technical field The invention relates to the field of laser radar measurement, in particular to an automatic measurement method for urban components. Background technique Digital city management realizes the transformation of city management from extensive and random to standardized, precise and scientific management. Urban components such as water supply, power supply, heating, traffic lights, street signs and fire protection facilities, etc., as the basic data necessary for digital urban management, need to be carefully surveyed and measured, and coded management. As a traditional urban component survey and measurement method, the urban component database is established mainly by artificial field, digitization of topographic map, and manual picking of lidar point cloud. In the process of realizing the present invention, the inventor finds that there are at least the following shortcomings and deficiencies in the prio...

AI Technical Summary

Problems solved by technology

1. The manual measurement method needs to invest a lot of human resources, low work efficiency, heavy workload, long measurement and investigation cycle and high cost investment;

2. The update cycle of the existing large-scale topographic map elements in the city is long, and the data update lags behind the current construction. When the topographic map is digitized, the data still needs to be checked and repaired on site, which requires a large investment of manpower;

3. When manually picking up laser point cloud data to collect urban parts, the production efficiency and cycle are long. Manual interpretation, especially when measuring urban parts, is subject to a lot of subjective randomness in position measurement, and the accuracy cannot be guaranteed;

4. The update and maintenance of urban component data in the later period needs to be maintained and tracked by professionals according to the grid division, but the area managed and maintained by each operator is small, and the number of operators that need to be arranged in the entire city is too large

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