Driven by emerging quality productive forces, the deep integration of industrial communication networks and power transmission systems is redefining the future of energy and industrial infrastructures including advanced manufacturing sectors like automated textile production and smart fabric systems. This convergence creates entirely novel and highly dynamic environments, characterized by large loads, stringent real-time constraints, and multi-dimensional couplings. Under the influence of emerging quality productive forces, achieving efficient path optimization in such complex and dynamic systems becomes a critical challenge, highlighting the urgent need for new and innovative solutions.To address this challenge, this paper for the first time introduces a novel multi-objective optimization framework based on MDA (Multi-Dimensional Analysis) Pareto path search, jointly targeting minimal path length and maximal path reliability. The framework incorporates a novel multiplicative reliability model with Pareto frontier filtering, effectively balancing the trade-off between path length and reliability. An innovative incremental update mechanism locally repairs paths affected by node or edge changes, avoiding full recomputation and significantly improving computational efficiency. Furthermore, a rapid pruning strategy for failed nodes and edges ensures continuity in critical communication networks and enables resilient path reconstruction.Distinctively, the framework originally integrates predictive reliability modeling, forwardlooking performance metrics, and multi-scenario simulations, establishing a closed-loop “perception-update-decisionexecution” mechanism that fully reflects the driving role of emerging quality productive forces in energy industrial Internet optimization. Overall, this work pioneers an efficient, reliable, and dynamically robust path assurance paradigm, providing both theoretical innovation and practical breakthroughs for intelligent energy and industrial Internet networks with direct applicability to enhancing the resilience of automated textile manufacturing systems .

multi-objective path optimization, MDA Pareto path search, incremental update, path reliability, industrial control systems, automated textile manufacturing, smart fabrics