Data quality inspection method and system for digital line graph and readable storage medium
A digital line drawing and data quality inspection technology, applied in the field of surveying and mapping, can solve the problems of low efficiency and high cost of quality inspection
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Embodiment 1
[0046] Embodiment 1, a kind of data quality inspection method that is used for digital line drawing, specifically is to carry out quality inspection to the precision of corner point in the vector result data, such as figure 1 shown, including the following steps:
[0047] S100. Obtain basic model data and vector result data;
[0048] The basic model data is model cutting data and / or model feature data of the corresponding real scene three-dimensional model;
[0049] The vector result data includes several vector surface graphics, that is, several drawn digital line drawings.
[0050] S200. Generate several pieces of data to be inspected based on the vector result data;
[0051] In this embodiment, the data to be inspected are corner points.
[0052] S300. Perform quality inspection on each data to be inspected respectively, and obtain corresponding comparison results. The quality inspection steps are as follows:
[0053] S310. Extract feature data corresponding to the data...
Embodiment 2
[0113] Embodiment 2, the data to be inspected in Embodiment 1 is replaced by "wall corner point" by "wall line", that is, the accuracy of the wall line in the vector result data is quality inspected, and the rest are equal to Embodiment 1;
[0114] In this embodiment, the line segment in the vector result data is extracted as the wall line. This extraction method is a conventional technology in the art, so it will not be described in detail. The specific steps for performing quality inspection on each data to be inspected in step S300 in this embodiment are as follows:
[0115] S310. Generate reference data corresponding to the data to be inspected;
[0116]In this embodiment, the data to be inspected is the wall line, and the reference data is the reference baseline corresponding to the wall line, including the following steps:
[0117] S311. Determine a second feature extraction range based on preset second extraction parameters, where the second feature extraction range co...
Embodiment 3
[0136] Embodiment 3, the vector achievement data among the embodiment 2 is replaced with point repair vector data, all the other are equal to embodiment 1;
[0137] Gained point restoration vector data replaces the vector result data in embodiment 2, carries out quality inspection according to the disclosed quality inspection method of embodiment 2;
[0138] That is, after obtaining the basic model data and vector result data, first perform quality inspection and repair on each corner point in the vector result data according to the quality inspection method disclosed in embodiment 1, and obtain point repair vector data; then follow the method disclosed in embodiment 2 The quality inspection method performs quality inspection and repair on each wall line in the obtained point repair vector data, obtains corresponding line repair quality inspection data, and uses the line repair quality inspection data as repair vector data.
[0139] The quality inspection results obtained in t...
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Abstract
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