Speaker
Dr
Vyacheslav Vinogradov
(Institute for Nuclear Reserarch RAS)
Description
There are a lot of tasks in medicine, engineering and industry, where normal and
critical states of some objects can be monitoring, recognized and registered as
event signals in real time for analysis. Event recognition and registration of
abnormal signals can be used to study of objects before and during its abnormal
states or to predict its risk situations. Recognition and registration of real
normal signals and abnormal events from objects in file server (data base) can be
used for object diagnostics, analysis and to predict critical situation (knowledge
base).
Proposed Effective compact embedded modular system for signal registration can work
as autonomous station or as network node. Distributed monitoring and registration
system (MARS) with network-based architecture for event model simulating and
analysis of complex objects are proposed and discussed. The Signal Measurement and
Registration Terminal (SMART) node based on passive 3 PCI bus slots for SBC- and DSP-
based modules with signal condition unit are described as example of industrial
objects analysis. Typical or special events model simulating at the same inputs and
the same instrumentations can be used for hardware testing, new software algorithms
checking and more detail object events studying.
Author
Dr
Vyacheslav Vinogradov
(Institute for Nuclear Reserarch RAS)
