Abstract
Abstract. Underground pipelines are known as “life line”. With the rapid developing of city, more and more pipelines like power lines will move into underground. Facing the complex environment from underground and relationship with other kinds of pipeline, the data quality evaluation is very crucial for academic and business applications. This paper introduced our praxis on underground pipeline data quality on a real project. The datasets are mainly composing of vector data about 15 GB size, covers 3 counties, worked with 3 teams. The workflow, data sampling method and quality evaluation method were engaged in our work. This work can extend to other underground pipeline projects or similar spatial data quality evaluation projects.
Highlights
With the rapid development of cities, many pipelines are moving into underground to free more space and land for city re-planning, such as power line, utility lines and so on
Underground pipeline is more complex owing to it is buried under the ground
The buried method can protect its transform and damage, but its shape and directory cannot inspect its spatial data quality is crucial for the land management and its operation
Summary
With the rapid development of cities, many pipelines are moving into underground to free more space and land for city re-planning, such as power line, utility lines and so on. Underground pipeline plays crucial role in city development, disaster management(Eskandari et al, 2017; Li et al, 2019, 2018). Underground pipeline is more complex owing to it is buried under the ground. The buried method can protect its transform and damage, but its shape and directory cannot inspect its spatial data quality is crucial for the land management and its operation. Many literature focus on the underground topic, such as pipeline change detection(Wang et al, 2019), the 3D data model for land administrative(Kalogianni et al, 2020; Yan et al, 2019), and so on. There are few work on underground pipeline spatial data quality
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