本研究旨在探索电梯检验检测智能化转型的产业化实践路径，解决传统检验模式效率低、主观性强、隐患识别不全面等突出问题。智能化转型可实现检测效率提升、故障预警提前、人力成本降低等多重效益，形成设备制造、检验服务、数据运营等多元产业生态。产业化推进需突破技术融合、数据共享、标准统一等关键瓶颈，构建政府引导、市场主导、多方参与的协同推进机制，为电梯检验检测行业高质量发展提供实践指导。

This study aims to explore the industrialization practice path of the intelligent transformation of elevator inspection and detection, and solve the prominent problems such as low efficiency, strong subjectivity and incomplete hidden danger identification of the traditional inspection mode. Intelligent transformation can achieve multiple benefits such as improving detection efficiency, early warning of faults, and reducing labor costs, and form a diversified industrial ecology such as equipment manufacturing, inspection services, and data operation. The conclusion points out that the promotion of industrialization needs to break through the key bottlenecks such as technology integration, data sharing and standard unification, and build a collaborative promotion mechanism with government guidance, market leadership and multi-party participation, so as to provide practical guidance for the high-quality development of elevator inspection and detection industry.