IoT System for Remote Monitoring of Bridges: Measurements for Structural Health and Vehicular Traffic Load

Author(s):  
Eulalia Balestrieri ◽  
Luca De Vito ◽  
Francesco Picariello ◽  
Ioan Tudosa
Author(s):  
Wael Mohammad Alenazy

The integration of internet of things, artificial intelligence, and blockchain enabled the monitoring of structural health with unattended and automated means. Remote monitoring mandates intelligent automated decision-making capability, which is still absent in present solutions. The proposed solution in this chapter contemplates the architecture of smart sensors, customized for individual structures, to regulate the monitoring of structural health through stress, strain, and bolted joints looseness. Long range sensors are deployed for transmitting the messages a longer distance than existing techniques. From the simulated results, different sensors record the monitoring information and transmit to the blockchain platform in terms of pressure points, temperature, pre-tension force, and the architecture deems the criticality of transactions. Blockchain platform will also be responsible for storage and accessibility of information from a decentralized medium, automation, and security.


Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 41
Author(s):  
Jiayue Shen ◽  
Minghao Geng ◽  
Abby Schultz ◽  
Weiru Chen ◽  
Hao Qiu ◽  
...  

Crack initiation and propagation vary the mechanical properties of the asphalt pavement and further alter its designate function. As such, this paper describes a numerical study of a multi-layered strain sensor for the structural health monitoring (SHM) of asphalt pavement. The core of the sensor is an H-shaped Araldite GY-6010 epoxy-based structure with a set of polyvinylidene difluoride (PVDF) piezoelectric transducers in its center beam, which serve as a sensing unit, and a polyurethane foam layer at its external surface which serves as a thermal insulation layer. Sensors are coated with a thin layer of urethane casting resin to prevent the sensor from being corroded by moisture. As a proof-of-concept study, a numerical model is created in COMSOL Multiphysics to simulate the sensor-pavement interaction, in order to design the strain sensor for SHM of asphalt pavement. The results reveal that the optimum thickness of the middle polyurethane foam is 11 mm, with a ratio of the center beam/wing length of 3.2. The simulated results not only validate the feasibility of using the strain sensor for SHM (traffic load monitoring and damage detection), but also to optimize design geometry to increase the sensor sensitivity.


Author(s):  
Andrea Petroni ◽  
Pierpaolo Salvo ◽  
Francesca Cuomo

In the next few years, fundamental technological transitions are expected both for wireless communications, soon resulting in the 5G era, and for the kind of pervasiveness that will be achieved thanks to the Internet of Things. The implementation of such new communication paradigms is expected to significantly revolutionize people’s lives, industry, commerce, and many daily activities. Healthcare applications are considered to be one of the most impacted industries. Sadly, in relation to the COVID-19 pandemic currently afflicting our society, health remote monitoring has become a fundamental and urgent application. The overcrowding of hospitals and medical facilities due to COVID-19, has unavoidably created delays and key issues in providing adequate medical assistance. In several cases, asymptomatic or light symptomatic COVID-19 patients have to be continuously monitored to prevent emergencies, and such an activity does not necessarily require hospitalization. Considering this research direction, this paper investigates the potentiality of cloud-based cellular networks to support remote healthcare monitoring applications implemented in accordance with the IoT paradigm, combined with future cellular systems. The idea is to conveniently replace the physical interaction between patients and doctors with a reliable virtual one, so that hospital services can be reserved for emergencies. Specifically, we investigate the feasibility and effectiveness of remote healthcare monitoring by evaluating its impact on the network performance. Furthermore, we discuss the potentiality of medical data compression and how it can be exploited to reduce the traffic load.


2010 ◽  
Vol 2201 (1) ◽  
pp. 139-147
Author(s):  
David E. Kosnik ◽  
Theodore Hopwood ◽  
Mathew P. Kotowsky ◽  
David J. Corr ◽  
Daniel R. Marron

Author(s):  
A. Polishchuk ◽  
◽  
M. Lesiv ◽  
H. Antonyak ◽  
◽  
...  

The study was aimed at investigating the effect of traffic load on the accumulation of heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn) by moss gametophytes (Brachythecium rutabulum and Pylaisia polyantha) and aquatic macrophyte Lemna minor in the territory of the city of Lviv (Ukraine). In the course of the study, five sites were selected: site 1 in the territory of the Stryiskyi Park, which was used as a control one, and sites 2–5, in which the traffic intensity was analyzed and plant samples were collected. Sites 2 and 3 were selected in the middle and end parts of Stryiska Street, respectively, site 4 was located near the junction of Lychakivska and Pasichna streets, and site 5 was chosen in the immediate vicinity of Khortytska Street. Gametophytes of mosses B. rutabulum and P. polyantha were collected at sites 1–4 and analyzed for metals content; two ponds were selected at sites 2 and 5, respectively, and metal concentrations were analyzed in water and in the samples of L. minor. Me­tal concentrations were determined using a Selmi C-115PK atomic absorption spectrometer. According to observations, the daily traffic intensity at sites 2–4 was high; at the same time, site 5 was characterized by low traffic intensity. It was found that at sites 2–4 with heavy vehicular traffic, the accumulation levels of Mn, Pb, and Zn in gametophytes of both species of mosses and Cu in gametophyte of B. rutabulum were significantly higher compared to the control site in Stryiskyi Park. Significantly higher concentrations of Cr, Cu, Fe, Pb and Zn were found in the water of the pond located at site 2 with a high level of transport load (the middle part of Stryiska Street) compared to the pond at site 5, where the level of transport load was negligible; samples of L. minor from this reservoir were characterized by a higher content of Cr, Fe, and Zn compared to the pond at site 5. Investigating the accumulation of metals in L. minor, the highest values of bioaccumulation factors were found for Mn, Fe, and Zn. The obtained results show the bioindication potential of the plants Brachythecium rutabulum, Pylaisia polyantha and Lemna minor, and suggest that these species can be used to assess environmental pollution by heavy metals in the urban ecosystem of Lviv and in other areas with high traffic density.


Author(s):  
Gerald Ostermayer ◽  
Christian Backfrieder ◽  
Manuel Lindorfer

In this paper, we introduce a method that quantifies the amount of traffic over time by the help of a cloud calculation service and vehicular communication. Furthermore, the approach is applicable also in vehicular traffic simulations, which are widely used in research to demonstrate the effects of proposed solutions to traffic problems. As unused road segments strongly influence the overall traffic load (i.e. used vs full road capacity), we propose a methodology that dynamically calculates the load over time and considers whether specific parts of the road network are used. We introduce two possibilities to filter out distortion of the created statistics due to variation in usage over time. Our novel approach is both simple but widely configurable to fit individual needs. The approach is proven by simulations and application of the load calculation in combination with an intelligent route optimization approach by comparing the optimization gain with the calculated traffic load.


2017 ◽  
Vol 10 (1) ◽  
pp. 31-36
Author(s):  
Behnoush Golchinfar ◽  
Dimitri Donskoy ◽  
Julius Pavlov ◽  
Marcus Rutner

Sign in / Sign up

Export Citation Format

Share Document