The invention relates to a multi-
monomer engineering intelligent
time sequence optimization method, which comprises the following steps of: according to a construction scheme,
numbering components, and obtaining space information and
time information of the components; inputting the number, the spatial information and the
time information into a BIM model to generate a space-time matrix; calculating space-time cross points according to the space-time matrix to obtain
potential conflict points; key blocking points are found in the
potential conflict points according to the construction logic relation; optimizing the construction
time sequence based on a
reinforcement learning algorithm, and outputting an optimization scheme; executing the optimization scheme, and dynamically updating data according to the construction progress; and repeating the steps to optimize the construction
time sequence until the construction is completed. Through space-time matrix calculation, hidden conflicts are found in advance, a time
sequence optimization scheme is generated based on a
reinforcement learning algorithm, construction efficiency is improved, construction progress data are updated and re-optimized in real time, onsite emergencies can be dealt with, and adaptability is high.