TY - GEN
T1 - Safety production process hazard situation analysis system based on large-scale data real-time processing
AU - Du, Wenchi
AU - Zhang, Niansong
AU - Aimin, Wang
N1 - Publisher Copyright:
© 2020 Association for Computing Machinery.
PY - 2020/1/12
Y1 - 2020/1/12
N2 - In order to give full play to the effects of big data in production safety monitoring and to meet the purpose of upgrading the safety management of enterprises, reducing personnel and increasing efficiency, this paper designs and implements a dangerous situation analysis system for production safety based on real-time processing of large-scale data. The platform adopts a layered architecture design method, and is constructed based on security parameter monitoring and monitoring technology, large-scale real-time data processing technology, dangerous situation assessment system, knowledge base, and SPC process analysis and early warning technology. The platform mainly covers three types of data source systems: People, things, and environment. It has basic information management, dynamic monitoring, big data analysis, and intelligent early warning. The results show that the platform can collect and share a large amount of data on safe production, summarize the rules of accidents through a big data analysis model, and finally achieve fine management of the safety of dangerous goods production.
AB - In order to give full play to the effects of big data in production safety monitoring and to meet the purpose of upgrading the safety management of enterprises, reducing personnel and increasing efficiency, this paper designs and implements a dangerous situation analysis system for production safety based on real-time processing of large-scale data. The platform adopts a layered architecture design method, and is constructed based on security parameter monitoring and monitoring technology, large-scale real-time data processing technology, dangerous situation assessment system, knowledge base, and SPC process analysis and early warning technology. The platform mainly covers three types of data source systems: People, things, and environment. It has basic information management, dynamic monitoring, big data analysis, and intelligent early warning. The results show that the platform can collect and share a large amount of data on safe production, summarize the rules of accidents through a big data analysis model, and finally achieve fine management of the safety of dangerous goods production.
KW - Big Data
KW - Dangerous Goods Production
KW - Layered Architecture
KW - SPC
KW - Safety Supervision System
UR - http://www.scopus.com/inward/record.url?scp=85082002983&partnerID=8YFLogxK
U2 - 10.1145/3378936.3378979
DO - 10.1145/3378936.3378979
M3 - Conference contribution
AN - SCOPUS:85082002983
T3 - ACM International Conference Proceeding Series
SP - 36
EP - 40
BT - Proceedings of the 2020 3rd International Conference on Software Engineering and Information Management, ICSIM 2020 - Workshop 2020 the 3rd International Conference on Big Data and Smart Computing, ICBDSC 2020
PB - Association for Computing Machinery
T2 - 3rd International Conference on Software Engineering and Information Management, ICSIM 2020 - and its Workshop 2020 the 3rd International Conference on Big Data and Smart Computing, ICBDSC 2020
Y2 - 12 January 2020 through 15 January 2020
ER -