Abstract: For the safety of loading or unloading liquid hazardous chemicals, the safety of filling cell allocation based on the local outlier factor (LOF) and the Euclidean distance is introduced.Firstly, LOF is applied to calculate the local outlier degree of the available points, and then the Euclidean distance between the available points and the exit is calculated. The two indicators obtained are nondimensionalized by using the fuzzy quantization method, and the two results are weighted to generate the final comprehensive evaluation index.A coordinate system is established for the loading and unloading cell, and the safety level of the candidate cell is evaluated with the filling cell allocation algorithm, and the filling cell with the highest score in the current round is selected as the final allocation result according to the comprehensive evaluation score of the candidate cells. At the same time, iterative optimisation calculation is carried out according to the real-time filling cell operation to achieve safe cell allocation. The experimental results show that the LOF and Euclidean distance-based safe cell allocation algorithm can simultaneously ensure a relatively large safe interval and a relatively short risk avoidance distance for the operating cell. Through multiple rounds of the filling cell selection, the safety of loading or unloading liquid hazardous chemicals can be improved.