Ship lock engineering monitoring method and system based on ISSA optimized BP network

A ship lock engineering monitoring method based on an ISSA optimized BP network comprises the following steps: obtaining historical data of ship lock engineering construction safety monitoring indexes, constructing a ship lock engineering construction safety monitoring index database, and dividing the database into a training set and a test set; constructing an initial BP neural network model, loading the training set into the initial BP neural network model, and performing optimization training on the initial BP neural network model by adopting an ISSA algorithm to obtain an optimal ISSA optimized BP neural network model; inputting real-time safety monitoring index data of a ship lock engineering construction site into the ISSA optimized BP neural network model to obtain a monitoring and forecasting result of the ship lock engineering; according to the method, the accuracy of a ship lock engineering monitoring and forecasting result can be effectively improved, the forecasting analysis time is shortened, and