Design of Accident Safety Risk System for Petrochemical Tank Farm in Port Area Based on N-gram Algorithm

With the rapid development of the economy and the advancement of the industrialization process, the safety risks generated by the petrochemical industry in the development process are increasingly prominent. As a key link in the petrochemical production process, the safety accidents in the petrochemical storage tank farm often have extremely high harmfulness and complexity. In order to effectively prevent the occurrence of safety accidents in the storage tank farm, scientific and reasonable risk assessment and safety warning are required. Based on N-gram algorithm, this paper designed an accident safety risk system for petrochemical storage tank farms in port areas. The system has built an accident model by collecting and analyzing historical accident data, and used Ngram algorithm to train and optimize the model, thereby achieving functions such as accident prevention, early warning, and emergency handling.