摘要
大数据时代下，数字化思维已然成为未来的一种趋势，以分散加工方式为主的钢筋加工传统方法普遍存在质量管理、安全、经济、加工质量、生产效率等方面的问题。本文依托奉建高速公路项目工程，基于大数据、BIM、云计算等前沿技术，建立了一套完整的钢筋智能加工流程，并形成了融合了信息化管理模式的集中加工方法，分别从订单、设计、仓储、生产、配送、原材料质量、数据分析等方面进行了研究。实践表明，该钢筋智能加工方案能很好地节约人力、材料、精力，在保障进度的同时也能保障质量、优化管理，能实现钢筋加工产业的全方面提升。
关键词： 数字化；智能化；钢筋加工；传统方法；大数据；BIM；云计算；管理模式
Abstract
In the era of big data, digital thinking has become a trend in the future. The traditional method of rebar processing based on decentralized processing methods generally has problems in quality management, safety, economy, processing quality, production efficiency and other aspects. Relying on in building highway project, this paper is based on large data, BIM, cloud computing and other cutting-edge technology, established a complete set of steel intelligent processing flow, and formed a blend of informatization management mode of intensive processing method, respectively, from order, design, storage, production, distribution, raw material quality, data analysis etc were studied. The practice shows that the intelligent processing scheme can save manpower, materials and energy well, guarantee the schedule and quality, optimize management, and realize the all-round improvement of the steel processing industry.
Key words： digital; intelligent; steel processing; traditional methods; big data; BIM; cloud computing; management mode
参考文献 References
[1] 张引, 陈敏, 廖小飞. 大数据应用的现状与展望[J]. 计算机研究与发展, 2013(S2):18.
[2] ZHANG Yin, CHEN Min, LIAO Xiaofei. Current situation and prospect of big data application [J]. Computer Research and Development, 2013(S2):18.
[3] 孟小峰, 慈祥. 大数据管理:概念、技术与挑战[J]. 计算机研究与发展, 2013, 50(001):146-169.
[4] MENG Xiao冯, CI Xiang. Big Data Management: Concepts, Techniques and Challenges [J]. Journal of Computer Research and Development, 2013, 50(001):146-169.
[5] 陈聪, 张国惠, 马晓磊,等. 利用大数据挖掘和知识发现技术辅助智慧城市发展[J]. 大数据, 2016, 2(003):39-48.
[6] CHEN Cong, ZHANG Guohui, MA Xiaolei, et al. Using big data mining and knowledge discovery technology to assist smart city development. Big Data, 2016, 2(003):39-48.
[7] 李涛, 仇文革, 李斌,等. 基于物联网及云计算的隧道掌子面地质信息管理研究[J]. 现代隧道技术, 2016, 53(6):7.
[8] LI Tao, QIU Wenge, LI Bin, et al. Research on geological information management of tunnel face based on Internet of Things and cloud computing [J]. Modern Tunnel Technology, 2016, 53(6):7.
[9] 居国防. 钢筋数字化集中加工技术应用[J]. 建筑工程技术与设计, 2017, 000(001):155-156.
[10] JU Guofang. Application of Digital Centralized Processing Technology for Reinforcement [J]. Building Engineering Technology and Design, 2017, 000(001):155-156.
[11] 彭剑秋. 高速公路钢筋集中加工质量管理措施分析[J]. 工程技术研究, 2020, v.5;No.72(16):180-181.
[12] PENG Jianqiu. Analysis of quality management measures for Centralized Processing of Highway reinforcement [J]. Engineering & Technology Research, 2020, V.5; No.72(16):180-181.
[13] 王辉, 明磊, 邵凌,等. 钢筋集约化加工技术研究[J]. 施工技术, 2019, 48(04):61-64.
[14] WANG Hui, MING Lei, SHAO Ling, et al. Research on Intensive Processing Technology of Reinforcement [J]. Construction Technology, 2019, 48(04):61-64.