TRIZ-Patent Data-AIGC Convergence-driven Innovation Opportunities in Back-pulling Fitness Equipment

LIU Zhihui; DUAN Lanya

doi:10.19554/j.cnki.1001-3563.2026.12.011

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 140-149. DOI: 10.19554/j.cnki.1001-3563.2026.12.011

Industrial Design

TRIZ-Patent Data-AIGC Convergence-driven Innovation Opportunities in Back-pulling Fitness Equipment

LIU Zhihui, DUAN Lanya^*

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Abstract

The work aims to propose a TRIZ-patent data-AIGC collaborative innovation method to solve the problem of resistance and muscle exertion points being out of sync caused by fixed load plates in traditional back-pulling equipment, and to break through the bottleneck of low efficiency and poor innovation in the design phase. Firstly, the TRIZ theory was used to systematically analyze the key contradictions of traditional equipment. Through contradiction matrix solutions, inventive principles such as dynamization and pre-action were derived. Secondly, a technical efficacy matrix was constructed to identify technical opportunity points for load adjustment. Combined with inventive principles, the direction for innovative design was defined. Finally, AIGC was employed to rapidly generate innovative design solutions for the horizontal lat back-pulling machine. Three major innovations were proposed: an electromagnetic damping system for precise resistance control, a variable lever mechanism generating adaptive resistance curves, and an intelligent drive system dynamically matching resistance. This process yielded 24 design samples and 9 optimal 3D models. Design practice results demonstrate that integrating the TRIZ theory, patent data, and AIGC tools establishes an innovation research pathway from mining problem contradictions and identifying technical opportunities to efficiently generating solutions, providing a new theory-data-AI collaborative paradigm for product innovation.

Key words

fitness equipment / TRIZ theory / patent analysis / technical efficacy matrix / artificial intelligence generated content (AIGC)

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LIU Zhihui, DUAN Lanya. TRIZ-Patent Data-AIGC Convergence-driven Innovation Opportunities in Back-pulling Fitness Equipment[J]. Packaging Engineering. 2026, 47(12): 140-149 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.011

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