Project Status: Set-up
Start Date: October 2016
End Date: September 2019
Budget (total): 2425 K€
Effort: 49.1 PY
Project-ID: C2015/2-2
Name: Maria Sousa
Company: Eurico Ferreira S.A.
Country: Portugal
E-mail: maria.sousa@proef.com
During 5-6th June, Beia hosted the face-to-face meeting with WINS@HI partners. We have discussed and analysed the current progress made and also agreed on the next steps. Beia also presented the underground air monitoring progress and the equipment which had already been installed for further research.
The paper “A Study of Humidity Influence on Data Accuracy for IoT Measurements of PMs Concentration” is published in ASTESJ, Volume 2, Edition 2, pag 180-187, 2020 – Mihaela Balanescu, George Suciu, Marius-Alexandru Dobrea, Cristina Balaceanu, Radu-Ioan Ciobanu, Ciprian Dobre, Andrei-Cristian Birdici, Andreea Badicu, Iulia Oprea, Adrian Pasat. https://astesj.com/v05/i02/p23/.
The paper “Optimization of an Air Quality Monitoring System Through an Efficient Data Processing Algorithm” was accepted in GREDIT 2020 – Mihaela Balanescu, George Suciu, Marius Alexandru Dobrea, Adrian Pasat, Andrei Birdici, Cristina Mihaela Balaceanu, Ciprian Dobre. Conferința a fost amanata si va avea loc in toamna.
The paper “Assessment of Particulate Matter Concentration in Underground Transport Work Environment” was published in journal – George Suciu, Mihaela Balanescu, Andrei Birdici, Oana Orza, Adrian Pasat, Marius Alexandru Dobrea, Cristina Mihaela Balaceanu. DOI: 10.24193/AWC2020_04.
The paper “PMs concentration forecasting using ARIMA algorithm” was accepted in Vehicular Technology Conference: VTC2020-Spring – Andreea Badicu, George Suciu, Mihaela Balanescu, Marius Dobrea, Andrei Birdici, Oana Orza, Adrian Pasat.
Great atmosphere during ATOM-N posters presentations @GeorgeSuciuG @beiaconsult @WINSHI_Project @telmonaer #AirQuality #sensors #LoRaWAN #monitoring #Security #ODSI pic.twitter.com/VOzrMC7ac8
— Cristiana Istrate (@CristianaI14) August 25, 2018
Preparing poster presentations for ATOM-N
— Cristiana Istrate (@CristianaI14) August 23, 2018
JOIN on 25.08.2018@beiaconsult, @telmonaer, @WINSHI_Project , @GeorgeSuciuG #airquality #LoRA #sensors #research #monitoring #security pic.twitter.com/n4B5Lhtm8u
@beiaconsult presenting WINS@HI paper @CelticPlus -#SGEM2018#UndergroundTransportation#RemoteSensors pic.twitter.com/HwL8GhSe92
— Beia Consult Int (@beiaconsult) July 8, 2018
Beia is present at UMF "Carol Davila" 2018 Congress. #eHealth #SmartHealth @ESTABLISH_ITEA #IoT @WINSHI_Project #environment #Healthcare #qualityoflife #torchproject #research @GeorgeSuciuG @caarmenvioleta @Cristin08009127 #PalaceofParliament #Bucharest #projectpartners pic.twitter.com/ba2maXGd99
— Beia Consult Int (@beiaconsult) June 7, 2018
EURICO Ferreira, PT
Centre for Nanotechnology and Smart Materials (CeNTI), PT
Intermunicipal Waste Management of Greater Porto (LIPOR), PT
ENEO TECNOLOGIA S.L., Spain
CBT, Communication & Multimedia, S.L, Spain
Nextel S.A., Spain
Masaryk University, Czech Republic
GiTy, a.s., Czech Republic
Technical University of Liberec, Czech Republic
Beia Consult International, Romania
ALFACTOR, Romania
Despite prevalence of on-going scientific and technical efforts in connecting anything everywhere in the mobile communication research landscape, there are still needs of agile and reliable solutions in local area where no mobile communication like GSM/UMTS is available or where local radio network such as Wi-Fi is not suitable.
In this project, we offer an ad-hoc, agile and reliable communication solution for both condition monitoring of the operations and safety of the workers in hazardous ‘Industry 4.0’ work environments in order to prevent unpredictable operation failures and work accidents. For this purpose, different kinds of Internet-of-Things (IoT) sensors, such as wearable devices, that capture data from work environment and vital parameters of work safety will be exploited which could extract maximum amount of information from the hazardous production sites.
The proposed solution will focus on underground coal mines and tunnel/underground transportation construction sites as the main application field since these work environments are very good examples of hostile ‘Industry 4.0’ production sites where radio communication is very challenging. Therefore, safety and operation management in mines will be improved and mine accident risks will be evaluated more accurately owing to wearable sensors that collect information such as vibration and heat from mining equipment as well as gases like methane, firedamp and carbon monoxide from mine galleries. These sensors will also enable failure prediction for continuous operation, tracking of health status and physical location of workers which will guide search and rescue units in case of emergency.
Handling issues as the interoperability of IoT sensors, real-time complex event processing for event recognition and generation of new digital services will be addressed. Localization and tracking of the monitored objects or workers in such hostile environments using an ad hoc method will be a key component of our solution.
Moreover, the end to end outworked solution will focus on real-time-ability, quality and reliability of the communication links but also on low energy consumption using energy harvesting technologies. Last but not least, the proposed solution will avoid cost intensive installation efforts and will be easy deployable.
