Multi-Core Module Configuration Model Considering “Cloud-Edge-End-Core” Collaborative Efficiency Optimization

In response to the challenges posed by the traditional vertical “cloud-edge-end” structure of intelligent measurement systems, which impedes horizontal information exchange and hampers collaboration efficiency, a novel multi-core module configuration model that optimizes “cloud-edge-end-core” collaborative efficiency is proposed in this paper. Firstly, a “cloud-edge-device-core” collaborative technology framework for intelligent measurement based on InOS operating system is proposed to enhance data interaction flexibility through multi-core modules and peer-to-peer collaboration. Then, an optimization model is constructed with the objective of minimizing the comprehensive cost including chip configuration and data transmission. The model is designed to optimize cooperative efficiency across the “cloud-edge-end-chip”, with decision variables including the core board of intelligent measurement terminals, chips for smart meter management units, and application deployment locations. Finally, a case study on low-voltage topology identification demonstrates the optimized hardware configuration of multi-core modules, showcasing improved efficiency in “cloud-edge-device-core” collaboration in intelligent measurement systems.