The Study of Drilling Safe Monitoring System Based on Multi Agent Group
Fei Gao, Xiong Hu Zhao, Hong Shan Liu, Zhi Kun Liu, Jun Yang · Advanced materials research · 2012
Lots of complexity and uncertainties are existed in drilling process. Further more, one of the possible ways to solve on-site drilling safety accidents is the early-warning through real-time monitoring. Based on the analysis of main hazards during drilling process, considering that most of the hazards are observable and controllable, by using multi agent group (MAG) technology of distributed artificial intelligence (DAI), this paper puts forward a functional schematic model with drilling hazards monitoring multi agent group, which includes real-time monitoring agent, feature extraction agent warning analysis agent, communication agent and user interaction agent. Considering the features of drilling engineering hazard monitoring, a distributed drilling safety monitoring system including the two levels, site-level and base-level, is built.