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Debris flow has the characteristics of time and space mass occurrence, movement continuity, disaster chain, single type, disaster causing mode and diversity of disaster affected objects. The location selection process of disaster rescue center is a typical nonlinear and non convergent problem. Under the condition of complex debris flow disaster indicators, the model based solely on linear technology and constraint conditions will have large deviation. A model design method of disaster rescue center selection based on pseudolite test and parallel computing is proposed. Taking the debris flow disaster as an example, the movement accumulation model of debris flow is constructed by using the discrete element method and GPU parallel algorithm. The movement accumulation characteristics and disaster area of debris flow after the confluence of gully debris flow are taken as the simulation reference to simulate the debris flow movement. According to the simulation results, the coverage of debris flow is predicted; The pseudo satellite technology is used to calculate the degree of disaster diffusion and the distance between vulnerable points. On the premise of the lowest construction cost and rescue cost of the rescue center, the location and height selected by the user are taken as the known conditions, with the lowest expected loss as the constraint, and the precision factor as the standard to obtain the core area points for rescue site selection, and a disaster rescue center selection model based on pseudo satellite testing is constructed. The simulation experiment shows that the location accuracy and efficiency of the design model are high, which can provide data support for timely rescue after debris flow disasters...