## 7 Discussions and Conclusions  
Taking the test results of the landing point coordinates of a semi-physical simulation system of an aircraft as the research object, an integrity detection criterion based on field test data and expert estimation information is established. The integrity detection of semi-physical simulation data includes four steps: 1 reducing the dimensionality of the 3D landing point data; 2 realizing data expansion and regularization based on a bootstrap resampling method; 3 drawing the statistical envelope of the confidence region; and 4 establishing the integrity detection criterion. Based on the BPNN method, the agent model of the semi-physical simulation system is constructed for the landing point which does not satisfy the completeness requirement, and the test conditions of the data of the landing point are supplemented. Through the application of research in the field and semi-physical simulation tests of the aircraft 534A in Section 6, aiming at the coordinate data of the field and semi-physical simulation, integrity detection and a supplementary experimental design of the aircraft semi-physical simulation data were carried out. The result of data processing shows that after adding semi-physical simulation data that does not satisfy the integrity detection, the EDF fused with field test data is closer to the CDF of the actual landing point of aircraft 534A. It is verified that the method proposed in this paper can lay a good foundation for the data fusion of the following semi-physical simulations and field tests. This approach has a number of beneficial effects:  
(1) An integrity detection method for semi-physical simulation data is creatively proposed, which can quantitatively test the completeness of simulation data for semi-physical simulation systems based on external field placement data and expert estimated envelope conditions. This effectively improves the semi-physical performance and the practical application significance of the effect and completeness assessment of the fusion of simulation data and field test data. (2) The established test standard is applicable to data completeness measurements under large and small samples (bootstrap resampling can be used to expand the sample data). (3) The established test standard is applicable to both the integrity detection measure of a single index and the overall completeness measure of multiple indexes of an entire system (data dimensionality reduction is sufficient) and has good generality. At the same time, it should be noted that to fully verify the completeness of the model data, a variety of means and methods must be used and bottom-up, multi-index, layer-by-layer aggregation methods must be used for the model indicators. Only then can the final comprehensive evaluation result of the completeness of the semi-physical simulation model be obtained. In addition, this paper's \"Integrity detection and supplementary experimental design of semi-physical simulation data of aircraft landing points\" not only applies to semi-physical simulation data and data processing methods. In fact, the equivalent experiment in aircraft not only includes semi-physical simulation experiments, but also includes digital simulation experiments, numerical simulation experiments, ground static simulation experiments, and so on. Whether the data processing method in this paper can be directly applied to the equivalent experimental data of other aircraft substitutions needs further study. Methodology, B.S. ; Software, M.W. and H.G. ; Validation, F.Y. ; Data curation, M.W. ; Writing--original draft, B.S. ; Writing--review & editing, Y.Y. All authors have read and agreed to the published version of the manuscript. This research was supported by the National Natural Science Foundation of China (Grant No. 71702156, U1830133) and the Research Foundation of Southwest University of Science and Technology (Grant No. 212x7125). **Acknowledgments:** The researchers would like to extend their deepest gratitude to all participants in this study.