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
2016 International Journal of Grid and Distributed Computing  
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
more » ... perty. 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. Chemical industrial parks come into being as modern chemical industry tries to adapt to the transformation of resources or raw materials and to the growing trends such as largescale, intensification, optimization, internationalization of operation and maximization of benefits. Many developed foreign countries started to build their chemical industrial belt early at the end of WWⅡ, accelerating their postwar economic recovery and growth. Due to the relative concentration of enterprises in the parks, the complex technology, largescale installation, rigorous operating conditions as well as the large quantity and big density of major sources of danger, there are real and potential serious or extra-serious accidents caused by dangerous chemicals during production. Therefore, emergency management in chemical industrial parks has long been an important disaster reduction and prevention issue of the society and a concern of the government, the public and the academic world. Such condition requires dangerous chemical enterprises to strengthen supervision of the operating state, constantly improve production technology and collect and analyze important environmental parameters such as temperature, pressure and concentration. Hidden dangers to safety production should be eliminated in advance and after the occurrence of accidents, rescue should be carried out orderly by making positive use of on-site supervision data, system information and pre-arranged rescue plans in order to minimize the loss. Therefore, it is essential to design a safety production information management platform for chemical industrial parks based on cloud computing and the Internet of Things, since cloud computing can be employed to realize access to and use of massive data and it has sound cooperative computing power, while the Internet of Things can be used to combine sensor, controller, machine, people and things in a new way. It provides unified safety management and constructs a unified safety management platform based on the service-oriented framework and modular design in verification management, authorization management, session management, cache management and encryption strategy.
doi:10.14257/ijgdc.2016.9.6.28 fatcat:63lf6unabrhjfbghdaieblrp3q