Sensor integration, data fusion and information management for industrial monitoring systems
One of the main challenges of SHM remains the transfer of sensing and damage detection technologies from the laboratory environment to routine field applications (including wireless sensors). This requires an industrial approach to system integration and validation. It is for example important to ensure that data from each measurement system is collected and managed in a coherent way and that the data management and decision making tools can access straightforwardly all data. For the sensors developed by ESR1 and ESR2, these interfaces have to be developed and implemented, including appropriate visualisation tools.
Furthermore, specific data fusion and data mining algorithms must be developed, implemented and tested in order to verify their effectiveness in real field conditions and under different environmental and operational disturbances. Finally, validation of each technology and their combination can serve as the basis for a future commercial activity to promote the results of the project.
NeoStrain, Krakow, Poland
Local industrial supervisor
Start date: 10th February 2017
Duration: 36 months
Maintenance is very important issue in modern transportation network. Old infrastructure in poor condition instead of profits may cause nuisance. The knowledge, when particular asset is needed to be mended might be crucial. Present fatigue thesis are not reliable, so the calculations most often are not accurate. New methods of assessing durability of infrastructure are vital. Prototype sensors and new methods of measurement will be developed by consortium members during this project, new data acquisition and signal processing must follow them.
Sensor integration, data fusion and information management for industrial monitoring systems. Developing specific data fusion and data mining algorithms, implementation and testing in order to verify their effectiveness in real field conditions and under different environmental and operational disturbances.
Tasks and methodology
- Acquisition and management of the data.
- Data optimisation based on data fusion and data mining algorithm.
- Laboratory tests of the platform.
- In situ implementation and testing.
- Sensor integration in project.
- Connecting all sensors algorithm.
- Papers in conferences and journals.
- BAM (Berlin, Germany)
August, September & October 2017
Innovative monitoring methods, integration of innovative sensors in existing networks, data fusion
- PHIMECA (Cournon d'Auvergne, France)
September & October 2018
Monitoring demands and boundary conditions
- COWI (Kongens Lyngby, Denmark)
Construction and operation of the offshore structures
Informatics, electronic, automatics, civil engineering
Data fusion, data mining algorithms, fatigue
- Marek Salamak, Piotr Klikowicz
Protections and monitoring of European transportation routes in upper Silesia mining area
14th SGEM GeoConference on Science and Technologies in Geology, Exploration and Mining, Albena, Bulgaria, 17-26 June 2014, At 363-368, Volume: 2
- Piotr Klikowicz, Marek Salamak
Indirect determination of support reactions in concrete bridge elements
10th Central European Conference on Concrete Engineering, Liberec, 1-2 October 2014
- Piotr Klikowicz, Piotr Lazinski, Marek Salamak
New methods for monitoring and diagnosis of concrete bridges - Coda Wave technology
11th Central European Conference on Concrete Engineering, Hainburg, 1-2 October 2015