Abstract: After analyzing the maintenance process of industrial equipment throughout its entire lifecycle, the management of lifecycle maintenance information for industrial equipment is realized. This paper introduces a system for the full lifecycle maintenance of industrial equipment, rooted in trusted identification. Initially, using the AHP hierarchical analysis method, the research calculates the weight values for the entire process indicators of the full lifecycle maintenance system. Consequently, a platform for tracing the quality information of industrial equipment maintenance via industrial internet identification resolution gets established. Then,a mini-program for the industrial equipment maintenance information tracing system has been developed. In the end, validation occurs through the traceability of key component information of the beam-pumping unit, recording an average query time of 66.932 ms, meeting equipment maintenance needs. This research offers insights and references for the full lifecycle maintenance of industrial equipment.