The invention discloses a multi-dimensional task intelligent scheduling method for a cloud property management platform, and relates to the field of
cloud computing and intelligent property management. The method comprises the steps that task types, time, space, skills, materials and budget information are collected, a task set is generated in a structured mode, multi-dimensional constraint features are generated based on the task set, an
interaction structure is constructed, and task complexity is calculated; collecting resource
working hours, skills, allocated tasks, historical completion records and fatigue states to generate resource adaptability characteristics and dynamic states; generating matching strength according to the skill integrating degree, the task complexity and the resource state, and carrying out
global scheduling optimization distribution tasks; when the task or the resource changes, dynamic rolling scheduling is executed; and updating the historical state of the resource according to the
task completion condition, forming closed-loop management, and supporting the next round of matching. Through multi-dimensional task
constraint analysis, resource adaptability evaluation and dynamic closed-loop management, efficient task allocation,
resource utilization optimization and continuous intelligent scheduling of the cloud material management platform are realized.