Visible to the public Smart diagnose procedure for data acquisition systems inside dams

TitleSmart diagnose procedure for data acquisition systems inside dams
Publication TypeConference Paper
Year of Publication2014
AuthorsBande, V., Pop, S., Pitica, D.
Conference NameDesign and Technology in Electronic Packaging (SIITME), 2014 IEEE 20th International Symposium for
Date PublishedOct
KeywordsCentral Processing Unit, communication bus, dam, dam monitoring, dams, data acquisition, data acquisition system, data logger, data loggers, Data Transmission, diagnose, differential signal, Electronics packaging, field buses, microcontroller, microcontrollers, open-circuit, protocol, Protocols, RS485 communication protocol standard, sensor, short-circuit, Signal processing, smart diagnose procedure, structural engineering computing, system, Temperature measurement, Testing, Transducers, Voltage measurement
Abstract

This scientific paper reveals an intelligent system for data acquisition for dam monitoring and diagnose. This system is built around the RS485 communication standard and uses its own communication protocol [2]. The aim of the system is to monitor all signal levels inside the communication bus, respectively to detect the out of action data loggers. The diagnose test extracts the following functional parameters: supply voltage and the absolute value and common mode value for differential signals used in data transmission (denoted with "A" and "B"). Analyzing this acquired information, it's possible to find short-circuits or open-circuits across the communication bus. The measurement and signal processing functions, for flaws, are implemented inside the system's central processing unit. The next testing step is finding the out of action data loggers and is being made by trying to communicate with every data logger inside the network. The lack of any response from a data logger is interpreted as an error and using the code of the data logger's microcontroller, it is possible to find its exact position inside the dam infrastructure. The novelty of this procedure is the fact that it completely automates the diagnose procedure, which, until now, was made visually by checking every data logger.

DOI10.1109/SIITME.2014.6967022
Citation Key6967022