Method for evaluating precision of large-scale industrial photogrammetry system and benchmark device

Abstract

The invention discloses a method for evaluating the precision of a large-scale industrial photogrammetry system and a benchmark device. The method comprises the following steps: obtaining first three-dimensional coordinate information of a reflection target spot from the benchmark device by using a laser tracker, wherein the first three-dimensional coordinate information forms a space benchmark field; obtaining second three-dimensional coordinate information of the reflection target spot from the benchmark device by using the photogrammetry system, wherein the second three-dimensional coordinate information forms a space measurement field; and obtaining a space error field by the space benchmark field and the space measurement field. The method for evaluating the precision of a large-scale industrial photogrammetry system and the benchmark device obtain the space error field by the space benchmark field and the space measurement field, and analyze the error sources in the photogrammetry system by the space error field and further enhance the measurement precision of the photogrammetry system in large-scale industrial photogrammetry.

Description

technical field [0001] The invention relates to photogrammetry technology, in particular to an accuracy evaluation method and reference device of a large-scale industrial photogrammetry system. Background technique [0002] With the rapid development of modern industry, precise three-dimensional measurement of large objects is required. Due to the large measurement range, high precision requirements and on-site dynamic measurement of large objects, the measurement technology based on three-coordinate measuring machine (CMM) cannot meet the requirements. On-site digital photogrammetry technology. [0003] At present, the research on digital photogrammetry at home and abroad is mainly focused on some key technologies, including: on-site self-calibration technology and solution method of camera internal and external orientation parameters; precision evaluation technology and method of measurement network; image to realize system measurement automation matching technology, etc....

AI Technical Summary

Problems solved by technology

Among them, the research on digital photogrammetry accuracy evaluation includes the following two aspects: (1) Independently analyze the error factors in the photogrammetry link, such as camera calibration, station angle, measuring point center positioning and other factors respectively affect the photogrammetry accuracy. However, a perfect photogrammetric spatial error model has not yet been established; (2) Use a fixed-length ruler to test and evaluate the measurement accuracy of the system at the photogrammetric site

Due to the complexity and flexibility of the digital photogrammetry system, especially the digital photogrammetry system for large-scale on-site measurement is affected by various factors such as camera performance, measured object, measurement network layout, and measurement software performance, resulting in complex sources of error. These error factors are interrelated, and the size and location of the fixed-length ruler will directly affect the evaluation results of photogrammetry accuracy.

Since the existing technology cannot effectively solve the problem of accuracy evaluation in the digital photogrammetry system, it is impossible to improve the measurement accuracy of the photogrammetry system in large-scale industrial photogrammetry by analyzing the error sources in the photogrammetry system, thus restricting the application of photogrammetry technology. Application in large-scale industrial measurement

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