While TVET relies heavily on applied research in education, the issue of misleading research positioning persists. Problems with applied research in technical and vocational education are beyond the capabilities of the conventional particle swarm method, and its results are less than satisfactory. Consequently, this study examines component localization and quality early warning and suggests research positioning and early warning in education based on 3D virtual simulation training. In order to minimize interference with practical research in education, we first use human-computer interaction theory to identify the components that have an impact, and then we categorize the indicators based on the needs of this field. The next step is to apply the theory of human-computer interaction to the development of a research program for the practical training application of 3D virtual simulations in education. The outcomes of this study will be thoroughly examined. The findings of the MATLAB simulation demonstrate that, according to certain assessment criteria, classical particle swarm techniques are not as effective as 3D virtual simulation training when it comes to educational aspects affecting application research time and accuracy.