工作流程
钥匙(锁)
机器人学
领域(数学)
人工智能
知识管理
工程类
计算机科学
专利分析
数据科学
软件
工程管理
风险分析(工程)
管理科学
系统工程
技术变革
过程(计算)
未来研究
信息技术
过程管理
机器人
技术预测
特里兹
标杆管理
作者
Baixu Zhang,Chao Mao,Tingpeng Wang,Qianqian Yao,Jianlong Jie
标识
DOI:10.1108/ecam-02-2025-0317
摘要
Purpose Construction robotics is one of the key drivers for transforming the traditional construction industry. However, there is a lack of comprehensive studies assessing their potential and technology opportunities. The purpose of this paper is to develop a patent-based framework to identify these vacancies and provide guidance for innovation. Design/methodology/approach The study first builds a comprehensive patent database for construction robotics and applies text mining to develop a technology system. It then analyzes the potential of different technologies throughout their life cycle. Using a patent co-occurrence network, the study identifies key technologies, and a “technology-efficacy” matrix is employed to assess technology vacancies, leading to insights on future development. Findings Construction robotics as a whole is currently in a rapid development phase, yet its technology units are developing unevenly. Hardware actuators exhibit high maturity, while software algorithms advance slowly. This disconnect constrains the technology's industrialization process. Addressing this issue, this study identifies multiple technological vacancies and proposes that optimizing operational workflows and information utilization can provide critical pathways for technological innovation and industrialization. Originality/value This study proposes a technology opportunity analysis framework based on patent data, revealing an imbalance in technological development within the construction robotics field where hardware advances precede software. It clarifies the underlying causes of the technology transfer dilemma. This research fills a research vacancy in evaluating innovation potential from a holistic technological systems perspective, providing a scientific basis for identifying key technological breakthroughs and guiding the efficient allocation of innovation resources to promote industrial transformation.
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