A method for realizing intelligent operation by means of park index algorithm

Abstract

The application relates to the technical field of artificial intelligence and smart park management, and specifically discloses a method for realizing intelligent operation by means of a park index algorithm, aiming to solve the problems of decision rigidity and response delay caused by the solidification of utility weights in a traditional park management system. The method comprises the following steps: collecting multi-source real-time data of logistics, security and energy and realizing space-time alignment; pre-processing and feature extraction of the data; dynamically generating utility weights of the three departments based on a lightweight long short-term memory neural network; constructing a multi-objective utility function matrix; solving a local Nash equilibrium strategy at an edge node; issuing a scheduling instruction and forming a perception-decision-execution closed loop. Through the above technical scheme, the application realizes real-time coupling of department priority and environmental variables, further reduces end-to-end control delay, significantly reduces artificial intervention and resource waste, and improves the overall operation efficiency and self-adaptive ability of the park.

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