Title :
Robot monitoring system of ocean remote sensing satellite receiving station
Author :
Guibin Lei ; Shuqing Wang ; Wenfang Wang ; Canping Li
Author_Institution :
Guangdong Ocean Univ., Zhanjiang, China
Abstract :
Security is a basic need of system and it is one of core technology of remote controlled system. Robot monitoring system of ocean remote sensing satellite receiving station includes robot, cloud computing system and remote terminals. Robot acquires real-time image of controlled system and operates it; cloud computing system build visual decision subsystem to identify the target using wavelet transform algorithm, neural network algorithm and knowledge database of features video of specific environmental; using remote terminal administrator observes the controlled system through its scene simulator and control robot to operate it remotely. Using technology of the pseudo-random number password, technology of mutual authentication to prevent cloning site, technology of conversion between the image of controlled system and its status code and technology of conversion between operation codes and operation instructions, the security strength of the robot monitoring system is improved greatly.
Keywords :
cloud computing; computerised monitoring; control engineering computing; geophysical image processing; neural nets; oceanographic techniques; remote sensing; robot vision; security of data; telerobotics; wavelet transforms; cloud computing system; knowledge database; mutual authentication; neural network algorithm; ocean remote sensing satellite receiving station; pseudorandom number password; real-time image; remote controlled system; robot monitoring system; security; visual decision subsystem; wavelet transform algorithm; Control systems; Feature extraction; Monitoring; Remote sensing; Robot sensing systems; Satellites; cloud computing; monitoring system; robot; security strength; visual decision subsystem;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161832