An RVM based safety early warning model for hoisting operation in fabricated building project

doi:10.16265/j.cnki.issn1003-3033.2018.04.019

Abstract

Abstract: To improve the safety level of construction and get accurate prediction of the safe operation condition of the hoisting operation for fabricated building project, a pre-warning model based on RVM was developed. According to the features of the hoisting operation for fabricated building project, major factors causing frequent accidents were discussed in comparison with the traditional mode, and a early warning index system was established according to 4M1E. The early warning factor was ascertained by attribute reduction algorithm in rough set(RS). A mixed kernel function was introduced and an RVM model was built, whose kernel parameters were determined by IPSO optimization. The model was applied to 5 projects as an example. The data on these projects were input for training and simulation. As the case study shows, the results obtained by using the model are basically consistent with the actual situation.The fitting accuracy, generalization ability and efficiency of the model are better than those of the three other machine learning algorithms.

Key words: fabricated building, crane hoisting operation, relevance vector machine (RVM), safety early warning model, improved particle swarm optimization (IPSO)

CLC Number:

X952
X948

LIU Mingqiang, LI Yingpan, WANG Fang, CHEN Xiao, LI Ruige, LI Xiaozhe. An RVM based safety early warning model for hoisting operation in fabricated building project[J]. China Safety Science Journal, 2018, 28(4): 109-114.

References

[1] 石帅,王海涛,王晓琪. 预制装配式结构在建筑领域的应用[J]. 施工技术,2014,43(15):16-19,29.
SHI Shuai, WANG Haitao, WANG Xiaoqi. Application of prefabricated structures in the buildings[J]. Construction Technology,2014,43(15):16-19,29.
[2] 孙岩波,孙少辉,李晨光,等. 装配式混凝土结构用塔式起重机施工技术研究[J]. 建筑技术,2017,48(8): 809-811.
SUN Yanbo, SUN Shaohui, LI Chenguang, et al. Research on construction technology of tower crane in precast concrete structure[J]. Architecture Technology,2017,48(8): 809-811.
[3] 李英攀,刘名强,王芳,等. 装配式建筑项目安全绩效云模型评价方法[J]. 中国安全科学学报,2017,27(6): 115-120.
LI Yingpan, LIU Mingqiang, WANG Fang, et al. Safety performance assessment of fabricated building project based on cloud model[J]. China Safety Science Journal,2017,27(6): 115-120.
[4] 刘名强,李英攀,陈晓,等. 装配式建筑安全文明施工费RS-LSSVM预测方法[J]. 中国安全科学学报,2018,28(1): 149-154.
LIU Mingqiang, LI Yingpan, CHEN Xiao, et al. Prediction of safety-civilized measure cost for fabricated building project based on RS-LSSVM[J]. China Safety Science Journal,2018,28(1): 149-154.
[5] 郑霞忠,郭雅薇,石法起,等. 塔机作业模糊认知可靠性与失误分析方法研究[J]. 中国安全科学学报,2016,26(6): 98-103.
ZHENG Xiazhong, GUO Yawei, SHI Faqi, et al. Research on fuzzy CREAM of crane operation[J]. China Safety Science Journal,2016,26(6): 98-103.
[6] 文豪,刘治宏,王全伟,等. 通用桥式起重机驾驶员操作可靠度研究[J]. 中国安全科学学报,2012,22(9): 63-68.
WEN Hao, LIU Zhihong, WANG Quanwei, et al. Research on performance reliability of general bridge crane driver[J]. China Safety Science Journal,2012,22(9): 63-68.
[7] 齐凯,王新华,何成忠. 大型起重机械安全预警机制的研究[J]. 中国安全科学学报,2011,21(1): 136-139.
QI Kai, WANG Xinhua, HE Chengzhong. Research of crane machinery security early warning mechanism[J]. China Safety Science Journal,2011,21(1): 136-139.
[8] 范振东,崔伟杰,陈敏,等. 基于IPSO-RVM的大坝安全预警模型[J]. 长江科学院院报,2016,33(2): 48-51.
FANG Zhendong, CUI Weijie, CHEN Min, et al. Pre-warning model for dam safety based on IPSO-RVM[J]. Journal of Yangtze River Scientific Research Institute,2016,33(2): 48-51.
[9] 蒋方纯,田盛丰,尹传环. 机器学习置信度机制研究综述[J]. 北京交通大学学报,2014,38(3): 111-117.
JIANG Fangchun, TIAN Shengfeng, YIN Chuanhuan. A survey on the confidence mechanism research in machine learning[J]. Journal of Beijing Jiaotong University,2014,38(3): 111-117.
[10] TIPPING M E. Sparse Bayesian learning and the relevance vector machine[J]. Journal of Machine Learning Research, 2001, 1(3): 211-244.
[11] 国家质量监督检验检疫总局. 起重机械安全监察规定[L]. 2007- 07-01.
[12] 国家住房与城乡建设部. 建筑起重机械安全监督管理规定[L]. 2008- 01-28.
[13] JGJ33—2012, 建筑机械使用安全技术规程[S].
JGJ33-2012, Technical specification for safety operation of construction machinery[S].
[14] GB5144—2006, 塔式起重机安全规程[S].
GB5144-2006, Safety code for tower cranes[S].
[15] 胡祝华,夏勇,彭金莲. 基于关系数据库的粗糙集约简改进算法[J]. 微计算机应用,2011,32(10): 37-42.
HU Zhuhua, XIA Yong, PENG Jinlian. An improved algorithm of rough set reduction based on relational database[J]. Microcomputer Applications,2011,32(10): 37-42.