Modular construction method for low-code visual interactive systems

Abstract

The application provides a modular construction method of a low-code visual interaction system, and relates to the technical field of low-code development. A cognitive topology network is constructed, each node is encapsulated as a reconfigurable meta-module, a meta-intention vector is generated by parsing user operation trajectories using an intention perception interface, context correlation analysis is performed through a semantic behavior chain, and a potential behavior sequence is generated. An asymmetric coupling relationship is established based on an implicit context mapper, a dynamic semantic resonance field is formed, distributed intention resonance is triggered and matching meta-modules are activated, and a collaborative logic cluster is generated under the resource constraints of edge computing nodes. The interaction rules and resource allocation strategies of the logic units are dynamically adjusted. The application realizes the automatic construction of complex business logic and high-precision intention adaptation, improves the elastic expansion capability and real-time response efficiency of the system in the edge computing scenario, and reduces the risk of logic discontinuity and resource contention caused by node heterogeneity.

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