2022, 14(1): 27-37. doi: 10.16670/j.cnki.cn11-5823/tu.2022.01.05
工程机械智能化产品市场接受度与应用测评实证分析研究
| 1. | 华中科技大学 土木与水利工程学院，武汉 430074 |
| 2. | 潍柴动力股份有限公司，潍坊 261061 |
Empirical Analysis and Research on Market Acceptance and Application Evaluation of Construction Machinery Intelligent Products
| 1. | School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
| 2. | Weichai Power Co., Ltd., Weifang 261061, China |
引用本文:
程利力, 陈慧芳, 窦全礼, 周诚. 工程机械智能化产品市场接受度与应用测评实证分析研究[J]. 土木建筑工程信息技术,
2022, 14(1): 27-37.
doi: 10.16670/j.cnki.cn11-5823/tu.2022.01.05
Citation:
Lili Cheng, Huifang Chen, Quanli Dou, Cheng Zhou. Empirical Analysis and Research on Market Acceptance and Application Evaluation of Construction Machinery Intelligent Products[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2022, 14(1): 27-37.
doi: 10.16670/j.cnki.cn11-5823/tu.2022.01.05
摘要:随着全球工程机械行业的飞速发展，工程机械向着智能化方向发展成为了工程机械产品发展的一大趋势。本文在结合国内外关于工程机械产品发展和智能化程度的文献基础上，总结了工程机械智能化的内涵和特征，并通过问卷调查法和斯皮尔曼法对数据进行收集和分析，获得了我国工程机械市场上各类工程机械智能化产品的市场接受度以及受访者选择不同类别产品的指标偏好情况，分析了阻碍我国工程机械智能化的因素，为我国工程机械智能化发展提供了依据材料。
Abstract: With the rapid development of the global construction machinery industry, it is the tendency that the construction machinery are being developed toward a more intelligent way. Based on the domestic and foreign literature regarding to the development of intelligent construction machinery, this article summarizes the connotation and characteristics of intelligent construction machinery. By using questionnaire survey method to collect the data and using Spearman methods to analyze the collected data, this research has obtained the results of market acceptance regarding to various types of intelligent construction machinery products in domestic construction machinery market. Also, this research has obtained the results of the preference of interviewee regarding to different products. Moreover, this paper has analyzed the factors that might negatively impact the development of construction machinery, which has provided a basis for the development of intelligent construction machinery in China.
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