Evidence map›Paper›PMID 38139616›Full record

ArticleSensors (Basel, Switzerland)2023

Enhancing Safety on Construction Sites: A UWB-Based Proximity Warning System Ensuring GDPR Compliance to Prevent Collision Hazards.

Silvia Mastrolembo Ventura, Paolo Bellagente, Stefano Rinaldi, Alessandra Flammini, Angelo L C Ciribini

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Silvia Mastrolembo VenturaDepartment of Civil, Architectural, Environmental Engineering and Mathematics (DICATAM), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0001-9446-8824
Paolo BellagenteDepartment of Information Engineering (DII), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3446-2604
Stefano RinaldiDepartment of Information Engineering (DII), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0001-7300-1053
Alessandra FlamminiDepartment of Information Engineering (DII), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0002-2046-0720
Angelo L C CiribiniDepartment of Civil, Architectural, Environmental Engineering and Mathematics (DICATAM), University of Brescia, 25123 Brescia, Italy.ORCID 0000-0001-8863-3440

Funding

Ministero dell'università e della ricerca PRIN2017: NG-UWB: Next Generation - Ultra Wide Band"Ministero dell'università e della ricerca PRIN 2027: Distributed Digital Collaboration Framework for Small and Medium-Sized Engineering and Construction Enterprises"
6 · The paper itself

Abstract

Construction is known as one of the most dangerous industries in terms of worker safety. Collisions due the excessive proximity of workers to moving construction vehicles are one of the leading causes of fatal and non-fatal accidents on construction sites internationally. Proximity warning systems (PWS) have been proposed in the literature as a solution to detect the risk for collision and to alert workers and equipment operators in time to prevent collisions. Although the role of sensing technologies for situational awareness has been recognised in previous studies, several factors still need to be considered. This paper describes the design of a prototype sensor-based PWS, aimed mainly at small and medium-sized construction companies, to collect real-time data directly from construction sites and to warn workers of a potential risk of collision accidents. It considers, in an integrated manner, factors such as cost of deployment, the actual nature of a construction site as an operating environment and data protection. A low-cost, ultra-wideband (UWB)-based proximity detection system has been developed that can operate with or without fixed anchors. In addition, the PWS is compliant with the General Data Protection Regulation (GDPR) of the European Union. A privacy-by-design approach has been adopted and privacy mechanisms have been used for data protection. Future work could evaluate the PWS in real operational conditions and incorporate additional factors for its further development, such as studies on the timely interpretation of data.

Indexed as

collision accidentsconstruction safetydata privacydata protectiongeneral data protection regulationproximity warning systemsensing technologiesultra-wideband

Identifiers

PMID38139616
PMCPMC10747065

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.