Abstract
In the scope of this paper the profitable use of blockchain technology or so-called distributed ledger technologies in the context of Structural Health Monitoring (SHM) will be examined.
SHM is the continuous or periodic and automated method for determining and monitoring the condition of an object. This is done by measurements with permanently installed or integrated sensors and by analyzing the hereby generated data. During those monitoring periods it often happens that some of the installed sensors are not working correctly. This may be caused by interference, by a corruption or even a manipulation. Therefore, the sensors can deliver abnormal data. Consequently, the delivered data is the starting point to overwatch the function of the sensors. Since on the monitored object multiple sensors are in use the measured data of those different sensors can be compared. If one sensor delivers deviating data it is likely that the sensor is not working the way it should. This verification process is being automated with blockchain technology. The correctness of the sensor data is then stored with the measured data itself on the chain. Thus, the entire generated information is securely and reliably tracked within the blockchain. Another advantage is the high scalability and decentralization of the blockchain. This is especially important when dealing with monitoring systems that can also have the need for scaling. For this described use case the implementation and application of the blockchain Hyperleder Fabric will be shown in the scope of this work.
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References
Nakamoto S (2008) Bitcoin: a peer-to-peer electronic cash system. Decentralized Bus Rev
DIN SPEC 91391-2 (2019) Common Data Environments (CDE) for BIM projects - Function sets and open data exchange between platforms of different vendors - Part 2: Open data exchange with Common Data Environments
Turk Z, Klinc R (2017) Potentials of blockchain technology for construction management. Procedia Eng 196:638–645
DGZfP Fachausschuss Zustandsüberwachung (2014) What is Condition Monitoring and SHM?
Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29(7):1645–1660
Government Office for Science (UK) (2016) Distributed Ledger Technology: beyond block chain
Polge J, Robert J, Traon YL (2020) Permissioned blockchain frameworks in the industry: a comparison. ICT Express 7(2):229–233
Hyperledger (2018) An Introduction to Hyperledger. Whitepaper v1.1
Androulaki E et al (2018) Hyperledger fabric: a distributed operating system for permissioned blockchains. In: 13th EuroSys conference. ACM
Kuperberg M, Geipel M (2021) Blockchain and BIM (Building Information Modeling): Progress in Academia and Industry
HBM: Measurement Solutions for Results You Can Trust. Accessed 26 July 2022
NASA: Technology Readiness Level. Accessed 26 July 2022
Arup: Blockchain and the Built Environment. Accessed 17 July 2022
Uddin A, Stranieri A, Gondal I, Balasubramanian V (2021) A survey on the adoption of blockchain in IoT: challenges and solutions. Blockchain Res Appl 2(2):100006
Bitcoin Magazine: Nokia Launches Blockchain-Powered IoT Sensing as a Service for Smart Cities. Accessed 17 July 2022
Lalthlamuana R, Talukdar S (2016) Conditions of visibility of bridge natural frequency in vehicle vertical acceleration. Procedia Eng 144:26–33
Nagayama T et al (2017) Bridge natural frequency estimation by extracting the common vibration component from the responses of two vehicles. Eng Struct 150:821–829
Welch P (1967) The use of the fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoust 15(2):70–73
Elhattab A, Uddin N, OBrien E (2019) Extraction of bridge fundamental frequencies utilizing a smartphone MEMS accelerometer. Sensors 19(14):3143. https://doi.org/10.3390/s19143143
Peeters B, Branden B, Laquire A, De Roeck G (2000) Output-only modal analysis: development of a GUI for MATLAB. Shock Vibr Digest 32(1):60
Peeters B, De Roeck G (2001) One-year monitoring of the Z24-Bridge: environmental effects versus damage events. Earthq Eng Struct Dyn 30(2):149–171
Maeck J, De Roeck G (2003) Description of the Z24 benchmark. Mech Syst Signal Process 17(1):127–131
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Brötzmann, J., Panda, J., Rüppel, U. (2024). Blockchain Technology as a Monitoring Tool for Sensor Data. In: Skatulla, S., Beushausen, H. (eds) Advances in Information Technology in Civil and Building Engineering. ICCCBE 2022. Lecture Notes in Civil Engineering, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-031-35399-4_11
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