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      • Technical Framework Design of Safety Production Information Management Platform for Chemical Industrial Parks Based on Cloud Computing and the Internet of Things

        Qin Lele,Kang Lihua 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.6

        As chemical industry is a fundamental strategic sector as well as one pillar industry of our national economy, chemical industrial parks of various scales has been built in many places to facilitate the production of chemical enterprises. However, considering the inflammability, explosibility and toxicity of the raw materials and products of such enterprises, accidents are very likely during the production, transportation and storage, forming major threats to human lives, the environment and property. By making use of key technologies of the Internet of Things such as sensing, accessing and networking, massive information storage, analyzing and processing capabilities of big data technology and the data computing methods of cloud computing technology, this paper designs a safety production information management platform for the daily supervision and emergency rescue of chemical industrial parks, proposes the system communication network framework based on the Internet of Things and the three-layer platform technical framework based on cloud computing, describes the technical structure and function of the sensing layer, the transmission layer, the infrastructure layer, the platform layer and the application layer of the platform, and elaborates key technologies including the design thought of uniform big data analyzing platform, regional collaborative emergency management operating mechanism, the combination of RFID technology and sensor network technology and model design of expert decision-making. The platform can realize logistics management of dangerous articles and key environment parameter monitoring of dangerous chemical enterprises, help enterprises in the safety compliance management to the whole production process, allow red light early warning and start responding early warning mechanism and rescue plan automatically, so as to effectively avoid the occurrence of potential accidents and safeguard and improve the economic and social benefits of enterprises.

      • Design & Research of Legal Affairs Information Service Platform Based on UIMA and Semantics

        Wang Chen,Zhang Jia,Qin Lele 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.3

        The law is the most powerful weapon to safeguard national stability and ensure flourishing of all causes as well as an instrument to protect the rights and interests of the masses, therefore, the just and accurate use of legal provisions is of crucial importance. With the increase of informatization level of the legal industry itself, more and more services in legal affairs are provided in information-based forms, and there is a large number of unstructured information in such business data. It’s a problem the legal industry needs to tackle in information management to rapidly acquire valuable content from the massive unstructured data and make use of such content. Based on analysis of problems arising in existing laws and regulations informatization system, this paper comes up with solution of a legal affairs information service platform based on cloud computing, UIMA, semantics, big data and Chinese word segmentation. This paper also proposes the four-layer technical framework solution on the basis of the design of integration and management method of unstructured data of heterology and isomerism, analyzing and processing method of unstructured data, semantics based unstructured information retrieval method and construction and maintenance method of ontology library. It also provides detailed introduction to the realization of the combination of big data and cloud computing and its application in this information platform by virtue of designing UFS - a distributed file system, MapReduce - a batch processing technology and BigTable - a distributed database. Data acquisition and expanded data analysis can be conducted by making use of the expandable UIMA framework and the sequential indexing of data content and analysis results can be materialized by means of applying Lucene indexing technology. With regard to information retrieval, the concept of ontology is introduced on the basis of traditional search model and a new search model based on domain ontology is proposed. IKAnalyzer 3.x is proposed to facilitate Chinese word segmentation. By taking advantage of such information service platform, legal affairs enterprises can effectively integrate structured and unstructured information resources and implement the storage, analysis, retrieval and decision-making applications of business data content.

      • Design of Chemical Industrial Park Integrated Information Management Platform Based on Cloud Computing and IOT (The Internet of Things) Technologies

        Qian Hao,Furen Zhang,Zeling Liu,Lele Qin 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.4

        Chemical industry is the fundamental strategic industry in national economy and one of pillar industries in China. A wealth of chemical industrial parks has been built one after another in many places, where lots of chemical enterprises are established. In the normal operation of those enterprises, their raw materials or products manufactured, transported and stored are usually featured by flammable, explosive or toxic properties, resulting in frequent occurrence of pollution and personal accidents and causing great threats to surrounding environment. This thesis realizes an integrated information management platform based on currently advanced cloud computing and IOT (The Internet of Things) technologies, so as for integrated management of chemical industrial parks. This thesis designs the architectural structure of said integrated information management platform, expounds the roles and realization approaches of the basic support platform and the business service platform, analyzes the principles and methods for realization of regionally coordinate emergency management operation mechanism based on the information management platform, that of IOT architecture technology and that of RFID and Wireless Sensor Network (WSN), and discusses that the standard unification of heterogeneous data under cloud computing is realized by means of multi-source data integration middleware. The said platform can accomplish the whole-process, real-time and dynamic follow-up and control of chemicals and hazardous materials and also provide effective service for users’ decision-making by mining and analyzing tremendous data of a chemical industrial park with Agent-middleware technology. The information management platform is capable of assessing the safety factors of chemical enterprises at peacetime, giving necessary warning before accidents and offering effective technical support for rescue via expert system, emergency plan system, monitoring system and positioning system. The realization of chemical industrial park integrated information management platform based on cloud computing and IOT technologies will greatly improve the management level of chemical industrial parks, intensify surveillance, achieve information resource sharing and lower the probability of accident occurrence.

      • KCI등재

        High-efficiency adsorption for both cationic and anionic dyes using graphene nanoribbons formed by atomic-hydrogen induced single-walled carbon nanotube carpets

        Gao Yan,Liang Xilong,Han Shuangping,Wu Liang,Zhang Guofeng,Qin Chengbing,Bao Shanxia,Wang Qiang,Qi Lele,Xiao Liantuan 한국탄소학회 2020 Carbon Letters Vol.30 No.2

        Carbonaceous materials are considered as potential adsorbents for organic dyes due to their unique structures which provide high aspect ratios, hydrophobic property, large efcient surface area, and easy surface modifcation. In this work, graphene nanoribbons (GNRs) were prepared by atomic hydrogen-induced treatment of single-walled carbon nanotube (SWCNTs), which inspire the idea of cutting and unzipping the SWCNTs carpets with the modifed in molecules prevent because of the unfolding of the side-walls. The unfolded spaces and uniform vertical arrangement not only enhance the active surface area, but also promote the electrostatic and π–π interactions between dyes and GNRs. The improved adsorption capacity of GNRs beyond original SWCNTs can be determined by the adsorption kinetics and isotherm, which are evaluated through adsorption batch experiments of the typical cationic methylene blue (MB) and anionic orange II (OII) dye, respectively. It is shown that the adsorption kinetics follow a pseudo second-order model while the adsorption isotherm could be determined by Langmuir model. The results reveal that the maximum adsorption capacities of GNRs for MB and OII are 280 and 265 mg/g, respectively. The GNRs present the highly efcient, cost efective, and environmental friendly properties for the commercial applications of wastewater treatment.

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