A Software Architecture for Adaptive Modular Sensing Systems

作     者：Lyle, Andrew C. Naish, Michael D. 

作者机构：Univ Western Ontario Dept Mech & Mat Engn Sensing & Mechatron Syst Lab London ON N6A 5B9 Canada 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2010年第10卷第8期

页      面：7514-7560页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Natural Sciences and Engineering Research Council (NSERC) of Canada 

主　　题：adaptive sensing systems intelligent sensors modular sensors sensor reconfiguration template algorithms software architecture knowledge representation active sensors transducer interface 

摘      要：By combining a number of simple transducer modules, an arbitrarily complex sensing system may be produced to accommodate a wide range of applications. This work outlines a novel software architecture and knowledge representation scheme that has been developed to support this type of flexible and reconfigurable modular sensing system. Template algorithms are used to embed intelligence within each module. As modules are added or removed, the composite sensor is able to automatically determine its overall geometry and assume an appropriate collective identity. A virtual machine-based middleware layer runs on top of a real-time operating system with a pre-emptive kernel, enabling platform-independent template algorithms to be written once and run on any module, irrespective of its underlying hardware architecture. Applications that may benefit from easily reconfigurable modular sensing systems include flexible inspection, mobile robotics, surveillance, and space exploration.