A
system for multi-stage planning of construction processes and
resource allocation, consisting of: a central planning engine configured to receive input data, including architectural design models, structural constraints, procurement schedules, and historical performance indicators; a task
decomposition processor that is operationally connected to the central planning engine and configured to generate a hierarchical construction task graph by decomposing
macro-level construction milestones into mid-level and micro-level subtasks, with each subtask having time estimates, location identifiers, resource requirements, and mutual dependencies; a
hybrid planning
processing unit configured to resolve time and
resource constraints across the entire task diagram; a
resource coordination controller that is operationally connected to the central planning engine, wherein the
resource coordination controller includes a real-time
database of work units, machines and material stocks, each resource being tagged with attributes such as availability, usage history, operating status and spatial location; a multitude of distributed execution units distributed across the construction zones, each distributed
execution unit comprising an
embedded controller, sensor interfaces, task status
processing logic, and communication circuitry, each distributed
execution unit being configured to receive planning instructions from the central planning
machine, execute localized
control logic for task confirmation and resource activation, and transmit task execution data back to the central planning
machine; an adaptive conflict resolution
processing unit that is operationally connected to the central planning engine and configured to detect conflicts in task execution or resource conflicts, simulate alternative task-
resource allocation scenarios using a real-time multi-agent model, and autonomously update the task graph with revised task sequences and resource allocations; and A
dashboard for the construction process, configured to visualize task progress, deviations from the planned schedule, and
resource efficiency metrics, with the
dashboard also being able to receive
manual override inputs or approve automated conflict resolution proposals generated by the adaptive conflict resolution module.