Embodiments of the present application disclose an
elevator dispatching optimization method, device, storage medium and equipment, the method comprising: obtaining a plurality of
simulation boarding information of each time period of the day according to a plurality of historical boarding information of each time period through
machine learning, thereby obtaining the
simulation traffic flow of each time period of the day, and determining whether the
simulation traffic flow of each time period is greater than a
traffic flow threshold value; when the simulation traffic flow of each time period is greater than the traffic flow threshold value, it indicates that the corresponding time period may have passenger retention and long
queue phenomenon; at this time, the push boarding information is generated through
machine learning and pushed to passengers, thereby avoiding too many passengers arriving at the same time and optimizing the randomness of passenger arrival; the method can optimize the
elevator dispatching, avoid passenger retention and long
queue phenomenon, effectively reduce the
waiting time of passengers boarding, solve the problem of insufficient
elevator capacity, greatly improve the operation efficiency of the elevator, and the like.