Research on big data application in intelligent safety supervision

Big date technology plays an important role in intelligent safety supervision. Based on overall framework of safety supervision big date platform, this issue demonstrates the process from the source to the end-user and the safety supervision big data application architecture. The data integration, analysis, processing and display technologies were analyzed to meet the requirements of intelligent safety supervision. Key technologies of big data will bring a new development opportunity for the construction of intelligent safety supervision platform.

[1]  Meng Xiaofeng and Ci Xiang,et al.  Big Data Management: Concepts,Techniques and Challenges , 2013 .

[2]  Marimuthu Palaniswami,et al.  Fuzzy c-Means Algorithms for Very Large Data , 2012, IEEE Transactions on Fuzzy Systems.

[3]  Yuhua Li,et al.  Selecting Critical Patterns Based on Local Geometrical and Statistical Information , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Weipeng Jing,et al.  Big Data Technology and Applications , 2015, Communications in Computer and Information Science.

[5]  Kyuseok Shim,et al.  MapReduce Algorithms for Big Data Analysis , 2013, DNIS.

[6]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[7]  Xindong Wu,et al.  Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.