The development of a decision support information-modeling system for safety in the chemical industry

Author:

Bannikov V. V.1,Savitskaya T. V.1

Affiliation:

1. D. Mendeleev University of Chemical Technology of Russia

Abstract

The analysis of the urgency of developing a decision and support information-modeling system for safety in the chemical industry is carried out. The article also covers the main elements of this information-modeling system. Key normative documents backing up the knowledge base of such an information-modeling system are listed below. The algorithm of the safety decision supporting information-modeling system is proposed. A database model of the safety decision supporting information-modeling system is elaborated below. A production rule system is set forth to manage issuing recommendations on the robust decision support information-modeling system in the chemical industry based on a methodological document. An implementation plan is laid out for the robust decision support information-modeling system in chemical industry. It is a ready-made software package based on two-level (client–server) architecture of information systems. This article also contains recommendations based on a test case of a tank equipment total destruction. Results of the computational experiments’ simulation in the TOXI+Risk software corresponding to the test selected values are available.

Publisher

RTU MIREA

Reference11 articles.

1. Agapov A.A., Lazukina I.O., Marukhlenko S.L., Marukhlenko A.L., Sofin A.S. Using the TOXI+ RISK software for assessing fire risk. Bezopasnost truda v promyshlennosti [Occupational Safety in Industry]. 2010;(1):46-52 (in Russ.).

2. Kuznetsov A.S., Kornushko V.F. Intelligent control system of chemical-technological processes of structuring of multicomponent elastomer composites based on the production model. Tonkie Khimicheskie Tekhnologii = Fine Chemical Technologies. 2017;12(5):88-96 (in Russ.). https:// doi.org/10.32362/2410-6593-2017-12-5-88-96

3. Sobolev E.A., Abdulgalimov A.R., Razlivinskaya S.V., Kornyushko V.F. Principles of corporate information system for logistics management of petrochemical enterprises. Tonkie Khimicheskie Tekhnologii =Fine Chemical Technologies. 2017;12(1):89-95 (in Russ.). https://doi.org/10.32362/2410-6593-2017-12-1-89-95

4. Kolybanov K.Yu. Principles for design of corporate information system of ecological monitoring of chemical enterprise. Izvestiya vysshikh uchebnykh zavedenii. Khimiya i khimicheskaya tekhnologiya = Russian Journal of Chemistry and Chemical Technology. 2008;51(9):103-105 (in Russ.).

5. Kolybanov K.Yu., Kornyushko V.F. Systematic approach to development of data storage of chemical-technological characteristics of recycling processes and air conditioning of radioactive waste. Izvestiya vysshikh uchebnykh zavedenii. Khimiya i khimicheskaya tekhnologiya = Russian Journal of Chemistry and Chemical Technology. 2008;51(7):93-96 (in Russ.).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Waviness Control Algorithm Surface Grinding;Lecture Notes in Mechanical Engineering;2022

2. Transient oscillatory processes at the balancing device operation of abrasive wheel grinder;Journal of Physics: Conference Series;2020-11-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3