An Ontology-Based Cognitive Model for Faults Diagnosis of Hazardous Chemical Storage Devices

An Ontology-Based Cognitive Model for Faults Diagnosis of Hazardous Chemical Storage Devices

Lixiao Feng (School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China), Guorong Chen (Chongqing University of Science and Technology, Chongqing, China) and Jun Peng (Chongqing University of Science and Technology, Chongqing, China)
DOI: 10.4018/IJCINI.2018100106

Abstract

Due to high temperature, high pressure, high corrosion, and many other factors, the hazardous chemical device is facing more severe security challenges than other industries. Now, the monitoring methods have been very mature, which play a basic monitoring role, not a predictive fault diagnosis. In this article, the hazardous chemical device's status data will be collected from the existing industrial monitoring network, the real-time data will be preprocessed and then stored in a database, and the data will be imported to the real-time data into the ontology cognitive model; the data will be performed by big data processing and automatic reasoning so that real-time status of hazardous chemical device and the warning of security risks predict are easily obtained at any time. The model is proposed to solve the problem of knowledge representation and reasoning of the hazardous chemical device based on ontology. The model is analyzed and implemented in Protégé software.
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1. Introduction

Chemical industry is an important pillar industry of China's economy. Large-scale hazardous chemical storage device is great significance to chemical process production. Due to high temperature, high pressure, high corrosion and many other factors, hazardous chemical storage device is facing more severe security challenges than other industries. For example, on August 5, 2009, 246 people have been injured in Chifeng City, Shanxi Province, caused by an ammonia leak. Tianjin port “8. 12” Ruihai Company’s explosion of hazardous goods warehouses caused 165 dead and economic losses of 6.866 billion RMB [Husein, 2017; Chen, 2012]. Such safety accidents are numerous and occur every year. Therefore, it is great significance to monitor the faults of critical hazardous chemical storage device and analyze online data.

At present, various data collection methods for the hazardous chemical device in china have been studied very well [Wang, 2015; Xiao, 2011], and various required data and parameters can be collected; the industrial control network has been performed by international standards. The device such as: DSP, FPGA controller have been effect applied for collect liquid level, pressure, flow, ETC [Rajpathak 2016; Zhao 2015]. Wireless communication device (ZIGBEE, GPRS, Bluetooth, etc.) have been always used [Hosny, 2015; Komal, 2017; Zhou, 2017]. These factors are transferred to the control center, which perform a real-time monitoring and management [Yang, 2011; Zhang, 2015; Zhou 2017; Peng, 2016; Feng, 2013].

Base on the above research the basic guarantee method have been provided for the hazardous chemical storage device [Duan, 2016; Li, 2015], which play a basic monitoring role, not a predictive fault diagnosis. In this paper, the ontology is introduced into the safety monitoring of hazardous chemical storage device. It can identify various safety hazards of chemical device early and timely, and significantly improve the regulatory protection capabilities of the device. Using this method it is certain that can hazardous chemical storage system will be high-efficiency, safety, reliability, and low-cost.

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