The application discloses a kind of
big data empowerment city
construction planning dynamic optimization method, it is related to wisdom city technical field, including, fusion multi-source heterogeneous real-
time data stream, construct and physical city synchronous evolution digital twin;Analysis city overall planning text, generate planning intent
knowledge graph;In digital twin, utilize planning intent
knowledge graph to drive multi-agent to carry out autonomous
simulation and decision deduction, output planning decision
instruction set;Planning decision
instruction set is carried out executability
verification and
serialization, and is issued to physical city
execution unit, and execution effect is fed back to digital twin and is continuously optimized.The application utilizes planning intent
knowledge graph to drive multi-agent to carry out concurrent
simulation and strategy evolution in digital twin, by real-time calculation decision influence on intent atom achievement degree and dynamically adjust each agent strategy, realized the collaborative optimization under multi-objective conflict and Pareto frontier convergence.