The application relates to the technical field of
Internet of Things warehouse management, and discloses a warehouse data comprehensive
management system, method, equipment and medium based on
the Internet of Things, which is characterized in that: firstly, warehouse basic environment and main body modeling are carried out, including establishing a warehouse grid map, an AGV cluster and a task set model; a global space-time occupation ST(v, t) table is constructed according to AGV empty running rate, conflicts, delays and
energy consumption, and a multi-objective optimization function is constructed; the generated AGV carrying tasks are sorted according to priority and deadline, and the tasks are auctioned according to task application values, the tasks with larger application values obtain the tasks, and space-time resources are locked; lower local re-planning is carried out, the AGV obtaining the tasks travels along a pre-planned space-
time path, and periodic detection is carried out during path execution, whether obstacles / conflicts / lockups or task changes appear is judged, and a new path is generated in combination with the global ST(v, t) table and real-time obstacles. The application solves the contradiction of multi-AGV collaborative task conflicts, and avoids the problem that traditional algorithms can only stop or invalidly bypass when encountering lockups, so that the
overall efficiency is low.