2023, 15(4): 100-104. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.17
基于物联网的混凝土结构智慧检测系统研究
1. | 中建二局第三建筑工程有限公司,北京 100070 |
2. | 中国建筑第二工程局有限公司,北京 100160 |
3. | 北京建科凯创技术有限公司,北京 100029 |
Research on Intelligent Detecting System of Concrete Structure based on Internet of Things
1. | The Third Construction Engineering Company Led. of China Construction Second Engineering Bureau, Beijing 100070, China |
2. | China Construction Second Engineering Bureau Ltd., Beijing 100160, China |
3. | Beijing Jianke Kaichuang Technology Co., Ltd., Beijing 100029, China |
引用本文:
刘宇超, 杨发兵, 赵华颖, 董廷旗. 基于物联网的混凝土结构智慧检测系统研究[J]. 土木建筑工程信息技术,
2023, 15(4): 100-104.
doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.17
Citation:
Yuchao Liu, Fabing Yang, Huaying Zhao, Tingqi Dong. Research on Intelligent Detecting System of Concrete Structure based on Internet of Things[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2023, 15(4): 100-104.
doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.17
摘要:在建筑施工中,混凝土结构实体检测是保证建筑结构安全的重点工作,虽然当前各类检测仪器相对于传统的检测方式有了很大进步,但仍然由人工进行数据采集和统计分析,存在效率低、工作量大、数据易出错等问题。本文从混凝土结构质量检验面临的实际问题出发,研发了一种基于物联网的混凝土结构智慧检测系统,充分利用了物联网、移动终端、云平台,实现了楼板厚度检测、钢筋保护层厚度检测自动采集、处理和上传,有效提高两种检测内容的工作效率,同时实现企业层级对所属工程检测数据的实时监控,保证检测数据的及时性、真实性、准确性。
Abstract: The detection of concrete structure entity is the key to ensure the safety of structure in building construction. Compared with traditional detecting, the detecting instruments of concrete structure have made great progress. However, data collection and statistical analysis are still conducted manually, which causes low efficiency, heavy workload, and data error prone, etc. In order to solve the existing problems in concrete structure quality inspection, this paper develops an intelligent detecting system of concrete structure on the basis of Internet of things. The system makes full use of the Internet of Things, mobile terminals and cloud platform to realize automatic collection, processing and upload of floor thickness detection and reinforcement cover thickness detection, which effectively improves the work efficiency of the two detection contents. Moreover, enterprises can monitor the detection data of projects in real time, which ensures the timeliness, authenticity, and accuracy of the detection data.
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