Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
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Article Number | 03035 | |
Number of page(s) | 7 | |
Section | Environmental Monitoring Repair and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202125703035 | |
Published online | 12 May 2021 |
Research on the Data Analysis and Application on the Safety Production of Port Enterprises Based on the AHP-Fuzzy Comprehensive Evaluation Method
1
Tianjin Dong Fang Tai Rui Technology Co. Ltd, Tianjin, China
2
Tianjin Dong Fang Tai Rui Technology Co. Ltd, Tianjin, China
3
Tianjin Research Institute for Water Transport Engineering Ministry of Transport Tianjin, China
4
Tianjin Dong Fang Tai Rui Technology Co. Ltd, Tianjin, China
a iktguodong@163.com
b wangyukun@tk-aq.com
c huyanhua@tk-aq.com
d* zhlucky0311@126.com
The production process of port enterprises is complex, and the operation contents are diversified and dynamic. Thus, the factors affecting the safety production risk are numerous and complex. To better grasp the risk state of the safety production of the port enterprises, based on the requirements of relevant laws and regulations and the actual situation of safe production of port enterprises, in this study, the diversified safety production data of port enterprises was collected and analyzed, the three-level index system of safety production data for port enterprises was constructed, the evaluation model of safe production state for port enterprises based on AHP-fuzzy comprehensive evaluation was established, and the practical application was carried out in a large port enterprise. The evaluation results were highly consistent with the actual situation of safe production of port enterprises. This evaluation method can be used to make full use of the existing data sources of safety production of port enterprises to discover the prominent risks affecting safety production and control them, and effectively improve the level of safety production of port enterprises.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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