The invention relates to the technical field of intelligent supervision and scheduling, in particular to an intelligent
toilet real-time supervision and dynamic
scheduling system based on
the Internet of Things, which comprises an acquisition module, a state judgment module, a work order generation module, a scheduling optimization module, an index determination module and a threshold adjustment module. According to the invention, through comprehensive determination of multi-source parameters, dynamic optimization of
toilet cleaning scheduling is realized, the
system compares the
toilet flow and the toilet cubicle
occupancy rate with the preset threshold, quantifies the cleaning urgency degree, calculates the environmental deviation degree in combination with the
environmental quality data, introduces the personnel position, the historical
completion time consumption and the work order emergency coefficient during work order distribution, and improves the work order distribution accuracy. By analyzing the
environmental quality change and the toilet flow after cleaning, the cleaning effect is objectively quantified, a basis is provided for subsequent threshold adjustment, and the problems of lagging cleaning arrangement and non-uniform
resource distribution caused by excessive dependence on manual inspection and regular maintenance are effectively solved.