Enginee ing and Technology Jou nal e-ISSN: 2456-3358
Volume 10 Issue 10 Oc obe -2025, Page No.- 7324-7336
DOI: 10.47191/e j/ 10i10.12, I.F. – 8.482
© 2025, ETJ
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Augmen ed Reali y o On-Si e Cons uc ion Coo dina ion wi h BIM
In eg a ion
Raed Fa a1, Ahmad M. Hamdan2, Agil Agazada3
1DAR Al Riyadh Enginee ing Consul an s
2,3Camb idge Enginee ing Consul an s
ABSTRACT: The in eg a ion o Augmen ed Reali y (AR) wi h Building In o ma ion Modeling (BIM) has eme ged as a
ans o ma i e app oach o imp o ing cons uc ion coo dina ion, pa icula ly in complex, dynamic on-si e en i onmen s. BIM
p o ides comp ehensi e, da a- ich digi al models ha encapsula e geome ic, ma e ial, and scheduling in o ma ion, while AR
o e lays his i ual con en on o physical cons uc ion si es h ough de ices such as able s, head-moun ed displays, and AR-
enabled helme s. This combina ion c ea es an imme si e, con ex -awa e en i onmen ha enhances design isualiza ion, p og ess
moni o ing, and collabo a ion among s akeholde s. On-si e applica ion o AR-BIM sys ems enables wo ke s and p ojec manage s
o align as-designed models wi h as-buil condi ions, he eby acili a ing ea ly de ec ion o e o s, disc epancies, o clashes be ween
s uc u al and mechanical sys ems. Such eal- ime isualiza ion educes ewo k, accele a es decision-making, and imp o es
ins alla ion accu acy, pa icula ly o mechanical, elec ical, and plumbing (MEP) coo dina ion. Addi ionally, AR p o ides
in e ac i e guidance o cons uc ion asks, suppo s quali y assu ance by aligning eal- ime p og ess wi h BIM schedules, and
imp o es sa e y managemen h ough he isualiza ion o haza d zones. By enabling emo e access o on-si e isualiza ions, AR
also enhances s akeholde communica ion, b idging he gap be ween design o ices and ield ope a ions. Despi e hese ad an ages,
challenges emain. High- ideli y AR-BIM in eg a ion equi es obus da a synch oniza ion, accu a e spa ial acking, and de ice
compa ibili y, while issues such as model complexi y, la ge ile sizes, and ha dwa e limi a ions pose ba ie s o widesp ead adop ion.
Human ac o s, including he need o wo ke aining and accep ance, u he in luence implemen a ion success. Ne e heless,
ongoing ad ancemen s in cloud compu ing, in e ope abili y s anda ds, and wea able echnologies, alongside he in eg a ion o
a i icial in elligence and In e ne o Things (IoT) senso s, a e expec ed o expand AR-BIM applica ions. AR-enabled BIM
in eg a ion signi ican ly s eng hens on-si e cons uc ion coo dina ion, o e ing measu able bene i s in p oduc i i y, sa e y, and
quali y. As echnology ma u es, i p omises o become an essen ial componen o digi al cons uc ion wo k lows.
KEYWORDS: Augmen ed eali y, On-si e cons uc ion, Coo dina ion, BIM in eg a ion
1.0 INTRODUCTION
The cons uc ion indus y is unde going a p o ound
ans o ma ion d i en by he adop ion o digi al echnologies
ha a e eshaping con en ional design, planning, and
execu ion p ac ices. T adi ionally cha ac e ized by
agmen ed wo k lows, eliance on 2D d awings, and manual
coo dina ion, cons uc ion p ojec s ha e his o ically aced
pe sis en challenges such as cos o e uns, schedule delays,
and miscommunica ion among s akeholde s (Jin and Li,
2023; Mohammedi and A ou , 2024). The ise o digi al
ans o ma ion has begun o add ess hese ine iciencies,
in oducing ools ha in eg a e in o ma ion, s eamline
collabo a ion, and enhance p ojec isibili y ac oss he en i e
li ecycle. Among he mos signi ican de elopmen s a e
Building In o ma ion Modeling (BIM) and Augmen ed
Reali y (AR), wo complemen a y echnologies ha oge he
o e powe ul capabili ies o b idging he gap be ween
i ual models and eal-wo ld cons uc ion si es (Elsha ey e
al., 2020; Dudhee and Vuko ic, 2023).
A he cen e o his digi al ansi ion, Building In o ma ion
Modeling (BIM) has eme ged as a ounda ional me hodology
and da a eposi o y. Unlike adi ional CAD sys ems ha
ocus p ima ily on geome ic ep esen a ion, BIM cap u es
and o ganizes mul i-dimensional p ojec in o ma ion,
including ma e ials, cos s, scheduling (4D/5D BIM), and
acili y managemen da a (Ko acic and Honic, 2021; Yang e
al., 2024). By se ing as a cen al and dynamic sou ce o
u h, BIM enables a chi ec s, enginee s, con ac o s, and
owne s o wo k wi hin a sha ed en i onmen , he eby
educing edundancies and imp o ing decision-making
accu acy. Fu he mo e, he pa ame ic na u e o BIM allows
o apid scena io analysis and change managemen , ensu ing
ha modi ica ions in design a e immedia ely e lec ed
h oughou he p ojec (Alwan e al., 2021; Haghigha and
Sadeh, 2023). I s ole ex ends beyond design and
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cons uc ion, suppo ing ope a ion and main enance phases,
he eby aligning wi h he b oade concep o digi al wins o
li ecycle asse managemen .
While BIM p o ides he ounda ion o da a in eg a ion and
collabo a ion, Augmen ed Reali y (AR) in oduces a p ac ical
in e ace o in e ac ing wi h hese digi al models di ec ly in
he physical job si e. AR echnologies supe impose i ual
elemen s—such as BIM-gene a ed models, anno a ions, o
cons uc ion sequences—on o he ac ual en i onmen using
mobile de ices, head-moun ed displays, o AR-enabled
helme s (Koo and O’Conno , 2022; Palma e al., 2023). This
capabili y c ea es an imme si e and con ex -awa e
expe ience ha allows ield pe sonnel o isualize designs a
ull scale, e i y cons uc ion accu acy in eal ime, and de ec
po en ial clashes o disc epancies be o e hey escala e in o
cos ly e o s. Fo ins ance, mechanical, elec ical, and
plumbing (MEP) sys ems can be i ually aligned wi h he
buil en i onmen , enabling ins alle s o con i m p ecise
posi ioning wi hou elying solely on 2D plans.
The syne gy be ween BIM and AR ma ks a signi ican s ep
owa d a mo e in eg a ed, in elligen cons uc ion p ocess
(Pan and Zhang, 2023; Sepasgoza e al., 2023). Whe eas
BIM consolida es p ojec in o ma ion in o a s uc u ed and
accessible o ma , AR ensu es ha his in o ma ion is
ac ionable and accessible in si u. Toge he , hey enhance
communica ion, imp o e s akeholde coo dina ion, and
educe ine iciencies ha adi ionally a ise om disconnec s
be ween o ice-based planning and si e-le el execu ion.
Mo eo e , AR’s abili y o p o ide in e ac i e, eal- ime
o e lays s eng hens wo ke aining, sa e y isualiza ion,
and p og ess moni o ing, he eby aligning wi h he
cons uc ion indus y’s push owa d highe p oduc i i y and
educed isk (Chen e al., 2021; Yazdi, 2024).
Digi al ans o ma ion in cons uc ion is inc easingly de ined
by he con e gence o BIM as a da a- ich cen al eposi o y
and AR as a isualiza ion in e ace ha g ounds i ual
in o ma ion wi hin he physical wo kspace (Shi owzhan e
al., 2020; Ceccon and Villa, 2020). This in eg a ion no only
imp o es p ojec e iciency and accu acy bu also ep esen s
a pa adigm shi in how cons uc ion eams coo dina e,
collabo a e, and execu e complex p ojec s in he ield.
2.0 METHODOLOGY
The P e e ed Repo ing I ems o Sys ema ic Re iews and
Me a-Analyses (PRISMA) amewo k was adop ed o ensu e
me hodological igo and anspa ency in e iewing he
li e a u e on augmen ed eali y (AR) o on-si e cons uc ion
coo dina ion wi h building in o ma ion modeling (BIM)
in eg a ion. A comp ehensi e sea ch s a egy was employed
ac oss mul iple academic da abases, including Scopus, Web
o Science, IEEE Xplo e, and ScienceDi ec , co e ing
publica ions om 2010 o 2025. The sea ch e ms combined
keywo ds and Boolean ope a o s such as “Augmen ed
Reali y,” “Building In o ma ion Modeling,” “BIM
in eg a ion,” “cons uc ion coo dina ion,” and “on-si e
isualiza ion.” Addi ional sou ces we e iden i ied h ough
backwa d and o wa d ci a ion acking o ele an s udies.
The inclusion c i e ia ocused on pee - e iewed jou nal
a icles, con e ence pape s, and e iew s udies ha explici ly
add essed AR applica ions in cons uc ion wi h di ec linkage
o BIM da a. S udies we e included i hey epo ed on
me hods, ools, case s udies, o amewo ks whe e AR was
u ilized o isualiza ion, coo dina ion, p og ess moni o ing,
clash de ec ion, o s akeholde collabo a ion. Exclusion
c i e ia elimina ed a icles un ela ed o cons uc ion
applica ions, s udies add essing i ual eali y wi hou AR,
pape s lacking BIM in eg a ion, and non-English
publica ions. G ey li e a u e such as disse a ions, p ojec
epo s, and non-pee - e iewed ma e ial was excluded o
ensu e quali y and eliabili y o e idence.
All e ie ed e e ences we e managed using Mendeley o
emo e duplica es be o e sc eening. Ti les and abs ac s we e
e iewed o elimina e i ele an s udies, ollowed by ull- ex
sc eening based on he eligibili y c i e ia. The sc eening
p ocess was conduc ed independen ly by wo e iewe s o
minimize bias, wi h disag eemen s esol ed h ough
discussion. Da a ex ac ion ocused on s udy objec i es, AR
pla o ms and de ices used, BIM in eg a ion app oaches,
epo ed bene i s, challenges, and ou comes ela ed o
cons uc ion coo dina ion.
The PRISMA low ensu ed sys ema ic iden i ica ion,
sc eening, eligibili y assessmen , and inclusion o ele an
s udies. Ou o an ini ial pool o eco ds, only hose mee ing
he s ic c i e ia o AR-BIM in eg a ion in on-si e
coo dina ion we e e ained. The syn hesized e idence
p o ides a comp ehensi e unde s anding o how AR
enhances BIM-d i en cons uc ion p ac ices, highligh ing
bo h he echnological ad ances and he exis ing ba ie s ha
shape i s adop ion in eal-wo ld p ojec s.
2.1 Fundamen als o AR and BIM In eg a ion
The apid e olu ion o digi al echnologies has ans o med
cons uc ion p ac ices, shi ing om adi ional d awing-
based wo k lows o da a-d i en and imme si e me hods ha
enable mo e p ecise planning, moni o ing, and execu ion. A
he o e on o his ans o ma ion is he in eg a ion o
Augmen ed Reali y (AR) and Building In o ma ion Modeling
(BIM), which oge he p o ide powe ul capabili ies o
connec ing digi al models wi h he physical cons uc ion si e
(Assila e al., 2022; Bha a ai e al., 2024). Unde s anding he
undamen als o AR and BIM in eg a ion equi es examining
he indi idual echnologies, hei unique s eng hs, and he
ways in which hey syne gis ically in e ac o enhance
cons uc ion coo dina ion.
Augmen ed Reali y (AR) e e s o he echnology ha
o e lays digi al in o ma ion on o he use ’s iew o he eal
wo ld, c ea ing an en iched pe cep ion o he physical
en i onmen . Unlike Vi ual Reali y (VR), which imme ses
use s en i ely wi hin a i ual space, AR blends physical and
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i ual elemen s, enabling eal- ime in e ac ion wi h bo h. In
cons uc ion, AR is pa icula ly aluable because i allows
p ojec s akeholde s o isualize design models, anno a ions,
and cons uc ion sequences di ec ly on-si e and a ull scale
(Ga be e al., 2021; Sa ikhani e al., 2022). Fo example, an
enginee wea ing AR glasses can see he in ended layou o
mechanical o elec ical sys ems p ojec ed on o pa ially
cons uc ed spaces, ensu ing co ec alignmen be o e
physical ins alla ion. This capabili y educes eliance on 2D
d awings and abs ac in e p e a ions, he eby imp o ing
accu acy, communica ion, and decision-making.
AR in cons uc ion also suppo s in e ac i e wo k lows such
as clash de ec ion, sa e y isualiza ion, and p og ess
moni o ing. Wo ke s can ollow s ep-by-s ep guidance
p ojec ed wi hin hei ield o iew, educing he likelihood
o e o s and enhancing p oduc i i y. Fu he mo e, AR’s
abili y o p o ide eal- ime o e lays os e s a mo e in ui i e
unde s anding o complex p ojec da a, enabling eams o
esol e con lic s mo e quickly han when using con en ional
documen s o sc eens (Logeswa an e al., 2024; Awadallah e
al., 2024).
Building In o ma ion Modeling (BIM) is a p ocess and
me hodology ha c ea es and manages da a- ich, pa ame ic
3D models h oughou he li ecycle o a cons uc ion p ojec .
Unlike adi ional CAD sys ems ha p ima ily ocus on
geome y, BIM in eg a es a wide a ay o in o ma ion,
including ma e ial speci ica ions, s uc u al p ope ies, cos
es ima es, and scheduling da a. Each elemen wi hin a BIM
model is an objec wi h embedded a ibu es, making i no
jus a isual ep esen a ion bu also a comp ehensi e da a
eposi o y (Qiu e al., 2021; Bo gho e al., 2024).
The powe o BIM lies in i s abili y o p o ide a sha ed
pla o m o collabo a ion. A chi ec s, enginee s, con ac o s,
and acili y manage s can access he same model, ensu ing
ha all s akeholde s a e wo king wi h consis en and up- o-
da e in o ma ion. This educes duplica ion o e o ,
minimizes e o s om miscommunica ion, and suppo s
mo e in o med decision-making. Beyond design and
cons uc ion, BIM also acili a es acili y managemen by
se ing as a digi al win o he buil asse , allowing ope a o s
o ack pe o mance and plan main enance e ec i ely (Zhao
e al., 2022; Ta akoli e al., 2024).
The in eg a ion o AR and BIM is pa icula ly impac ul
because he wo echnologies complemen each o he ’s
s eng hs. BIM p o ides he s uc u ed and da a- ich
ounda ion necessa y o accu a e design and planning, while
AR ans o ms his s a ic digi al con en in o an in e ac i e,
con ex -sensi i e expe ience on he job si e. In his
ela ionship, BIM unc ions as he backbone o da a and
p ojec in o ma ion, whe eas AR ac s as he in e ace h ough
which his in o ma ion is isualized and u ilized in eal-wo ld
condi ions.
Fo ins ance, when BIM models a e linked o AR pla o ms,
cons uc ion eams can supe impose s uc u al layou s,
ins alla ion guides, o p ojec imelines on o he physical si e.
This no only allows e i ica ion o whe he cons uc ion
ma ches design in en bu also helps in iden i ying po en ial
disc epancies be o e hey escala e in o cos ly ewo k. The
syne gy also suppo s eal- ime coo dina ion be ween ield
and o ice eams, as AR-enabled de ices can cap u e si e da a
and eed i back in o he BIM en i onmen , keeping he model
con inuously upda ed (Kim e al., 2023; Awadallah e al.,
2024). This bidi ec ional low o in o ma ion is c i ical o
ad ancing digi al win concep s in cons uc ion.
The p ac ical applica ion o AR-BIM in eg a ion elies
hea ily on he de ices and pla o ms h ough which use s
in e ac wi h he echnology. Se e al ha dwa e solu ions a e
cu en ly employed in cons uc ion, each o e ing di e en
ad an ages depending on con ex .
AR glasses such as Mic oso HoloLens p o ide imme si e,
hands- ee expe iences whe e BIM models can be p ojec ed
in o he use ’s ield o ision wi h high spa ial accu acy.
These de ices a e pa icula ly use ul o asks equi ing
de ailed inspec ion, clash de ec ion, o collabo a i e
isualiza ion du ing design e iew. Table s and mobile
de ices, while less imme si e, o e lexibili y and
accessibili y, making hem widely adop ed o quick
isualiza ion, anno a ions, and si e inspec ions. They enable
use s o scan QR codes o ma ke s on-si e o e ie e BIM
da a ins an ly.
Mo e specialized solu ions, such as AR-enabled helme s,
combine sa e y equipmen wi h digi al isualiza ion, making
hem p ac ical o use in ac i e cons uc ion zones (Bodhwani
and Sha ma, 2023; Jaju and Sulam, 2024). These helme s
in eg a e p o ec i e gea wi h heads-up displays ha allow
wo ke s o iew models and ins uc ions wi hou
comp omising sa e y. Mobile apps linked o cloud-based
BIM eposi o ies also suppo emo e access, allowing
s akeholde s who a e no physically p esen o in e ac wi h
he same AR-enhanced models o coo dina ion and decision-
making.
The in eg a ion o AR and BIM ep esen s a undamen al
ad ancemen in digi al cons uc ion p ac ices. AR b ings
models o li e by si ua ing hem di ec ly wi hin he physical
en i onmen , while BIM ensu es ha hese models a e
accu a e, in o ma ion- ich, and collabo a i e. Toge he , hey
o m a symbio ic sys em ha enhances isualiza ion,
coo dina ion, and decision-making ac oss he p ojec
li ecycle. Wi h he inc easing a ailabili y o ad anced AR
de ices and cloud-based BIM pla o ms, hei combined
applica ion is se o become an essen ial componen o
mode n cons uc ion wo k lows, b idging he pe sis en gap
be ween digi al planning and physical execu ion (Dia a and
Rinaudo, 2021; Dahbi e al., 2022).
2.2 Applica ions in On-Si e Cons uc ion Coo dina ion
The in eg a ion o Augmen ed Reali y (AR) wi h Building
In o ma ion Modeling (BIM) has opened new possibili ies o
on-si e cons uc ion coo dina ion, o e ing p ac ical
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applica ions ha imp o e accu acy, communica ion, and
e iciency ac oss p ojec li ecycles as shown in igu e 1. By
p ojec ing da a- ich BIM models in o physical job si es, AR
p o ides con ex -awa e isualiza ion ha b idges he
pe sis en gap be ween digi al planning and ield execu ion
(Kassem and Ki oke is, 2023; Bib i and Jaga heesape umal,
2023). I s applica ions in cons uc ion coo dina ion can be
g ouped in o se e al key domains: design isualiza ion and
e i ica ion, clash de ec ion and issue esolu ion, ins alla ion
guidance, p og ess moni o ing, and collabo a ion.
One o he mos di ec applica ions o AR-BIM in eg a ion is
design isualiza ion, whe e i ual BIM models a e o e laid
on o cons uc ion si es in eal ime. This enables s akeholde s
o assess whe he ongoing wo k aligns wi h he design in en
and o isualize comple ed s uc u es be o e physical
cons uc ion is inalized. Fo example, an a chi ec o si e
enginee can wea AR glasses and walk h ough a pa ially
cons uc ed building while simul aneously iewing he BIM
model p ojec ed in o he en i onmen . Such isualiza ion
allows o immedia e compa ison be ween as-designed and
as-buil condi ions, o e ing apid insigh s in o disc epancies
ha migh o he wise emain unde ec ed un il la e s ages
(T an e al., 2021; Son and Hung, 2024).
Figu e 1: Applica ions in On-Si e Cons uc ion Coo dina ion
This ea ly e i ica ion is pa icula ly aluable o p e en ing
cos ly ewo k. I a wall is inco ec ly placed o s uc u al
componen s a e misaligned, AR makes hese e o s isible a
he poin o ins alla ion, educing downs eam impac s. By
enabling p oac i e de ec ion o clashes and misma ches, AR
s eng hens quali y con ol and ensu es ha cons uc ion
adhe es o he o iginal design in en .
AR-BIM in eg a ion is especially powe ul in add essing he
challenges associa ed wi h mechanical, elec ical, and
plumbing (MEP) sys ems, which a e among he mos
complex elemen s o coo dina e on-si e. Th ough AR
isualiza ion, hese sys ems can be p ojec ed in o he physical
space be o e ins alla ion, allowing con ac o s o check
whe he duc s, pipes, o condui s in e e e wi h s uc u al
elemen s o wi h each o he .
This applica ion g ea ly educes ewo k, which is one o he
mos signi ican con ibu o s o cons uc ion delays and cos
o e uns. By iden i ying con lic s a he poin o execu ion,
AR enables immedia e esolu ion o issues, o en be o e
ma e ials a e was ed o wo k is ca ied ou inco ec ly. In his
sense, AR ac s as a eal- ime clash de ec ion ool,
complemen ing p e-cons uc ion model coo dina ion e o s
by ex ending e i ica ion di ec ly in o he ield.
Beyond isualiza ion, AR se es as a p ac ical ool o
guiding ins alla ion asks wi h high p ecision. Wo ke s
equipped wi h AR glasses o helme s can ecei e s ep-by-s ep
ins uc ions p ojec ed on o he physical en i onmen ,
showing hem exac ly whe e componen s should be placed.
This educes eliance on 2D plans and ensu es alignmen o
ins alla ion componen s wi h millime e -le el accu acy.
Such applica ions a e pa icula ly bene icial in p ojec s ha
equi e complex assemblies, such as p e ab ica ed
componen s o high- ech acili ies whe e ole ances a e
minimal. The in eg a ion o AR wi h digi al wins u he
enhances his wo k low by allowing i e a i e upda es: ield
da a cap u ed h ough AR de ices can be ed back in o he
BIM model, which in u n upda es he digi al win o he
p ojec . This bidi ec ional exchange suppo s con inuous
imp o emen o wo k lows and ensu es ha bo h design and
ield da a emain synch onized h oughou cons uc ion
(Rai ii e al., 2024; Zhang e al., 2024).
AR is also an e ec i e ool o moni o ing p og ess and
e i ying quali y in eal ime. By cap u ing si e da a and
Design Visualiza ion and
Ve i ica ion
Clash De ec ion and Issue
Resolu ion
Collabo a ion and
Communica ion
Ins alla ion Guidance and
Wo k low Suppo
P og ess Moni o ing and Quali y
Assu ance
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o e laying i wi h BIM-gene a ed cons uc ion schedules,
manage s can ins an ly e alua e whe he wo k is p oceeding
as planned. Fo example, AR pla o ms can compa e he
cu en s a e o a si e agains scheduled miles ones, lagging
delays o de ia ions om expec ed p og ess.
In addi ion o p og ess acking, AR enhances sa e y and
compliance by isualizing haza d zones, es ic ed a eas, o
sa e y ins uc ions di ec ly in he wo ke ’s ield o iew.
Wo ke s can see highligh ed dange zones on he loo o
ecei e ale s abou po en ial isks, he eby educing
acciden s and imp o ing adhe ence o sa e y p o ocols. These
applica ions suppo bo h quali y assu ance and sa e y
managemen , wo c i ical aspec s o e ec i e cons uc ion
coo dina ion.
Finally, AR signi ican ly imp o es collabo a ion and
communica ion among s akeholde s. Remo e pa icipan s—
such as a chi ec s o p ojec manage s loca ed o -si e—can
access AR-enhanced iews o he cons uc ion si e, enabling
hem o e alua e p og ess, p o ide eedback, and make
decisions wi hou being physically p esen . This capabili y
educes delays caused by a el o miscommunica ion and
ensu es ha all s akeholde s ha e a sha ed, up- o-da e
unde s anding o p ojec s a us.
Mo eo e , AR allows imme si e model sha ing ha
minimizes misunde s andings o en associa ed wi h 2D
d awings o s a ic 3D ende ings. By p o iding s akeholde s
wi h he abili y o “walk h ough” designs a ull scale, AR
os e s clea e communica ion, as e consensus-building,
and mo e e ec i e decision-making. This educes he isk o
dispu es and s eng hens o e all p ojec coo dina ion.
The applica ions o AR in on-si e cons uc ion coo dina ion,
when coupled wi h BIM, ep esen a ans o ma i e s ep in
mode n cons uc ion p ac ices. F om design isualiza ion and
clash de ec ion o ins alla ion guidance, p og ess moni o ing,
and collabo a i e communica ion, AR p o ides p ac ical
solu ions o long-s anding challenges in he indus y. By
p ojec ing BIM’s da a- ich models in o he physical
en i onmen , AR enables eal- ime e i ica ion, p ecision
alignmen , sa e y enhancemen , and s akeholde engagemen
(Wije a hna e al., 2024; Nguyen e al., 2024). As hese
echnologies ma u e and become mo e widely adop ed, hey
a e expec ed o signi ican ly educe e o s, imp o e
e iciency, and ede ine he s anda d o cons uc ion
coo dina ion.
2.3 Technical Conside a ions
The in eg a ion o Augmen ed Reali y (AR) and Building
In o ma ion Modeling (BIM) has demons a ed ema kable
po en ial o ans o ming cons uc ion wo k lows,
pa icula ly in on-si e coo dina ion. Howe e , achie ing
seamless unc ionali y equi es add essing se e al echnical
conside a ions ha de e mine he accu acy, usabili y, and
scalabili y o hese sys ems (Ogunwole e al., 2023; Ș e an e
al., 2024). These conside a ions include da a in eg a ion,
de ice compa ibili y, acking and accu acy, in e ope abili y,
and cloud connec i i y as shown in igu e 2. Each ep esen s
a c i ical laye in ensu ing ha AR-BIM solu ions p o ide
meaning ul alue in eal-wo ld cons uc ion en i onmen s.
The ounda ion o AR-BIM in eg a ion lies in synch onizing
complex BIM da a wi h AR pla o ms in a way ha p ese es
bo h accu acy and usabili y. BIM models a e inhe en ly da a-
ich, con aining geome ic, ma e ial, scheduling, and cos
in o ma ion. Howe e , hese models a e o en oo hea y o
di ec use in AR applica ions, equi ing op imiza ion, da a
il e ing, o con e sion. Simpli ica ion echniques such as
le el o de ail (LOD) educ ion and model segmen a ion a e
o en applied o ensu e smoo h ende ing on AR de ices
wi hou comp omising essen ial in o ma ion.
Figu e 2: Technical Conside a ions
Da a In eg a ion
T acking and
Accu acy
Cloud
Connec i i y
In e ope abili y
De ice
Compa ibili y
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Fu he mo e, eal- ime synch oniza ion be ween he BIM
eposi o y and AR pla o ms is essen ial. Cons uc ion si es
a e dynamic, and any changes in design mus be e lec ed
ins an ly in AR sys ems o a oid ou da ed o misleading
isualiza ions. Achie ing his synch oniza ion demands
e icien wo k lows o expo ing BIM da a in o AR-
compa ible o ma s, as well as middlewa e solu ions ha ac
as ansla o s be ween pla o ms. E ec i e da a in eg a ion
no only ensu es ideli y o in o ma ion bu also gua an ees
ha AR isualiza ions emain ele an and ac ionable on-si e.
The choice o ha dwa e signi ican ly impac s he adop ion
and e ec i eness o AR-BIM sys ems. Wea ables, such as
Mic oso HoloLens o AR-enabled helme s, p o ide
imme si e and hands- ee isualiza ion, making hem
sui able o asks equi ing p ecision and con inuous
in e ac ion wi h he physical en i onmen . These de ices ee
up wo ke s’ hands o ins alla ion asks, enhancing sa e y and
p oduc i i y. Howe e , hei cos , weigh , and lea ning cu e
can p esen ba ie s o widesp ead use.
In con as , handheld de ices such as able s and sma phones
a e mo e a o dable, widely a ailable, and use - iendly. They
a e o en employed o quick isualiza ion, si e inspec ions,
and issue epo ing. While less imme si e, hey o e
lexibili y and accessibili y ha can accele a e adop ion in
ield en i onmen s. Choosing be ween wea ables and
handhelds depends on he complexi y o asks, he le el o
imme sion equi ed, and he ade-o be ween cos and
unc ionali y. In many cases, hyb id wo k lows ha combine
bo h de ice ypes may p o ide he mos e ec i e solu ion.
One o he mos signi ican echnical challenges in AR-BIM
in eg a ion is ensu ing accu a e spa ial alignmen be ween
digi al models and he physical en i onmen (Sidani e al.,
2021; Ali ezaei e al., 2022). Se e al acking echnologies
a e employed o achie e his goal, each wi h unique s eng hs
and limi a ions.
Global Posi ioning Sys em (GPS) p o ides la ge-scale
posi ioning bu lacks he p ecision necessa y o de ailed
cons uc ion asks, whe e millime e -le el accu acy is o en
equi ed. Indoo posi ioning echnologies, such as Blue oo h
beacons o adio- equency iden i ica ion (RFID), can
enhance localiza ion accu acy in con ined en i onmen s, bu
hey equi e addi ional in as uc u e and main enance.
Compu e ision-based me hods, using came as and senso s
embedded in AR de ices, a e eme ging as powe ul
al e na i es. These echniques ely on eal- ime scanning and
ecogni ion o physical ea u es, enabling highly accu a e
alignmen wi hou he need o ex e nal in as uc u e.
Howe e , compu e ision is sensi i e o ligh ing condi ions,
occlusions, and su ace ex u es, equi ing obus algo i hms
o consis en pe o mance. In p ac ice, hyb id app oaches
ha combine GPS, beacons, and compu e ision a e o en
deployed o balance scale, p ecision, and eliabili y.
Fo AR-BIM sys ems o unc ion e ec i ely ac oss di e se
pla o ms, in e ope abili y is a c i ical equi emen . BIM
elies on s anda dized da a o ma s such as Indus y
Founda ion Classes (IFC) and Cons uc ion Ope a ions
Building In o ma ion Exchange (COBie), which enable
consis en exchange o in o ma ion be ween so wa e
sys ems. AR applica ions mus be capable o eading,
in e p e ing, and displaying his in o ma ion wi hou losing
ideli y.
In e ope abili y also ex ends o ensu ing ha da a cap u ed in
AR en i onmen s, such as p og ess upda es o anno a ions,
can be seamlessly ein eg a ed in o BIM sys ems. Wi hou
s anda diza ion, AR-BIM in eg a ion isks agmen a ion,
whe e each solu ion ope a es in isola ion, unde mining he
collabo a i e po en ial o digi al wo k lows. As in e na ional
s anda ds e ol e, g ea e in e ope abili y will acili a e
smoo he in eg a ion, educe edundancies, and p omo e
adop ion ac oss he indus y.
Cloud connec i i y is ano he co ne s one o e ec i e AR-
BIM in eg a ion, p o iding he in as uc u e o eal- ime
upda es and collabo a ion. Th ough cloud-based pla o ms,
BIM models can be s o ed, managed, and accessed by
mul iple s akeholde s simul aneously, ensu ing ha he da a
used in AR applica ions is always cu en . This is pa icula ly
impo an in cons uc ion en i onmen s, whe e design
changes and ield condi ions e ol e apidly.
Cloud-based AR-BIM sys ems also enable emo e
collabo a ion, allowing o -si e a chi ec s, enginee s, o
p ojec manage s o iew on-si e AR isualiza ions and
p o ide inpu wi hou physically isi ing he si e. This
educes delays, a el cos s, and coo dina ion challenges.
Fu he mo e, in eg a ion wi h cloud se ices allows AR
de ices o cap u e ield da a—such as pho os, measu emen s,
o anno a ions—and upload hem ins an ly o he sha ed BIM
eposi o y, main aining a con inuous eedback loop be ween
ield and o ice (Nguyen e al., 2020; Me ke e al., 2020).
The success ul in eg a ion o AR and BIM in cons uc ion
coo dina ion depends on a ca e ul balance o echnical
conside a ions. Da a in eg a ion ensu es ha BIM’s ich
in o ma ion can be e ec i ely isualized in AR
en i onmen s, while de ice compa ibili y de e mines
accessibili y and usabili y o di e en use g oups. Accu a e
acking unde pins he eliabili y o o e lays, and
in e ope abili y ensu es seamless da a exchange ac oss
pla o ms. Finally, cloud connec i i y p o ides he
ounda ion o eal- ime collabo a ion and con inuous
upda es. Add essing hese challenges no only enhances he
unc ionali y o AR-BIM sys ems bu also accele a es hei
adop ion as essen ial ools in digi al cons uc ion wo k lows.
As hese echnical ounda ions ma u e, he cons uc ion
indus y will inc easingly le e age AR-BIM in eg a ion o
achie e highe p ecision, e iciency, and collabo a ion on job
si es.
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2.4 Bene i s o AR-BIM In eg a ion
The in eg a ion o Augmen ed Reali y (AR) wi h Building
In o ma ion Modeling (BIM) ep esen s one o he mos
impac ul echnological ad ancemen s in mode n
cons uc ion p ac ices. By linking BIM’s da a- ich digi al
models wi h AR’s imme si e isualiza ion capabili ies,
cons uc ion eams can achie e unp eceden ed le els o
p ecision, collabo a ion, and e iciency. This in eg a ion
add esses long-s anding indus y challenges such as ewo k,
miscommunica ion, and sa e y isks, o e ing angible
bene i s ac oss he p ojec li ecycle as shown in igu e
3(Demi döğen e al., 2021; Akindo ei e al., 2024). The mos
signi ican ad an ages include enhanced accu acy and e o
educ ion, imp o ed p oduc i i y, be e s akeholde
coo dina ion, cos sa ings om educed ewo k, and
s eng hened sa e y managemen .
Accu acy is pa amoun in cons uc ion, whe e e en mino
de ia ions om design in en can lead o cos ly ewo k o
s uc u al ine iciencies. AR-BIM in eg a ion imp o es
accu acy by p ojec ing BIM models di ec ly on o he
cons uc ion si e, enabling eal- ime e i ica ion o as-
designed e sus as-buil condi ions. Wo ke s can isually
con i m he co ec placemen o s uc u al elemen s,
mechanical sys ems, o p e ab ica ed componen s,
signi ican ly educing he likelihood o e o s du ing
ins alla ion.
Addi ionally, AR acili a es ea ly de ec ion o design clashes
and disc epancies, which a e o en missed when elying on
2D d awings o abs ac 3D models iewed on sc eens. By
aligning BIM da a wi h he physical en i onmen , e o s can
be iden i ied a he poin o cons uc ion a he han du ing
la e inspec ions, minimizing delays and a oiding
compounding mis akes. This heigh ened accu acy ansla es
in o imp o ed quali y o cons uc ion and s onge
compliance wi h design speci ica ions.
Figu e 3: Bene i s o AR-BIM In eg a ion
AR-BIM sys ems s eamline wo k lows by p o iding
wo ke s wi h immedia e access o ele an in o ma ion in
con ex . Ins ead o consul ing pape d awings o sepa a e
digi al de ices, wo ke s can ecei e s ep-by-s ep AR
ins uc ions di ec ly in hei ield o iew. This educes ime
spen in e p e ing plans, sea ching o in o ma ion, o
cla i ying asks wi h supe iso s.
Mo eo e , AR-enabled guidance suppo s p ecise and
e icien ins alla ion o complex assemblies, educing ial-
and-e o app oaches ha consume aluable ime. The
in eg a ion wi h digi al wins ensu es ha cons uc ion da a
emains upda ed, allowing wo ke s and manage s o adap
quickly o design modi ica ions wi hou dis up ing
wo k lows. Collec i ely, hese capabili ies lead o highe
p oduc i i y, educed down ime, and mo e p edic able p ojec
schedules.
Cons uc ion p ojec s o en in ol e di e se eams—
a chi ec s, enginee s, con ac o s, and owne s—whose
e ec i e coo dina ion is c i ical o p ojec success. AR-BIM
in eg a ion enhances collabo a ion by o e ing a sha ed
isualiza ion en i onmen whe e s akeholde s can in e ac
wi h models a ull scale in eal-wo ld con ex s. This
imme si e expe ience elimina es ambigui ies inhe en in
echnical d awings, os e ing clea e communica ion and
as e consensus.
Remo e s akeholde s can also bene i om AR-BIM sys ems
h ough cloud-based pla o ms ha allow hem o iew on-
si e AR isualiza ions om anywhe e. This educes he need
o equen si e isi s and accele a es decision-making. The
Inc eased
p oduc i i y and
educed
down ime
Lowe cos s
om educed
ewo k
Be e sa e y
managemen
Imp o ed
s akeholde
coo dina ion
Enhanced
accu acy and
educed e o s
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imp o ed anspa ency ensu es ha all pa icipan s ha e
access o consis en , up- o-da e in o ma ion, educing he isk
o misunde s andings ha can lead o cos ly dispu es.
Rewo k emains a pe sis en challenge in cons uc ion,
accoun ing o signi ican cos o e uns and was ed
esou ces. E o s in ins alla ion, design misin e p e a ions, o
o e looked clashes o en necessi a e ea ing down and
ebuilding, which is bo h ime-consuming and expensi e.
AR-BIM in eg a ion di ec ly add esses his issue by enabling
eal- ime e i ica ion o cons uc ion agains BIM models.
By de ec ing po en ial con lic s ea ly—such as mechanical,
elec ical, and plumbing (MEP) sys ems clashing wi h
s uc u al componen s—AR allows immedia e esolu ion
be o e wo k p oceeds u he . This p oac i e app oach
minimizes ma e ial was e, labo ine iciencies, and schedule
delays. The educ ion in ewo k ansla es in o measu able
cos sa ings and imp o ed p ojec p o i abili y (Khu sheed e
al., 2024; Rasanjali e al., 2024). Fo owne s, his also
enhances con idence in p ojec deli e y wi hin budge a y
cons ain s.
Sa e y is one o he mos c i ical conce ns on cons uc ion
si es, whe e complex en i onmen s and hea y equipmen
pose signi ican isks. AR-BIM sys ems con ibu e o be e
sa e y managemen by isualizing haza d zones, es ic ed
a eas, and sa e y p o ocols di ec ly in he wo ke ’s ield o
iew. Wo ke s can see highligh ed a eas on he g ound
indica ing all isks o zones whe e equipmen is ope a ing,
imp o ing si ua ional awa eness.
Addi ionally, AR can be used o deli e in e ac i e sa e y
aining, simula ing eal-wo ld scena ios wi hou exposing
wo ke s o dange . Combined wi h BIM’s da a-d i en
unde s anding o si e condi ions, AR can ensu e ha sa e y
plans a e accu a ely e lec ed in he ield. These applica ions
educe acciden s, s eng hen compliance wi h occupa ional
sa e y s anda ds, and os e a cul u e o p oac i e isk
managemen .
The bene i s o AR-BIM in eg a ion ex end ac oss all phases
o cons uc ion, om design o execu ion and hando e .
Enhanced accu acy ensu es ha p ojec s align wi h design
in en , while p oduc i i y gains educe down ime and
accele a e comple ion. Imp o ed s akeholde coo dina ion
os e s anspa ency and collabo a ion, while educ ions in
ewo k lowe cos s and imp o e p o i abili y. Finally, he
abili y o manage sa e y isks h ough AR isualiza ion
u he ein o ces i s alue as a ans o ma i e ool.
As he cons uc ion indus y con inues o emb ace digi al
ans o ma ion, AR-BIM in eg a ion is se o become a
co ne s one o u u e wo k lows. I s abili y o b idge he gap
be ween i ual models and physical en i onmen s no only
add esses cu en ine iciencies bu also lays he ounda ion
o mo e in elligen , da a-d i en cons uc ion p ac ices. By
combining p ecision, e iciency, and sa e y, AR-BIM
in eg a ion p omises o ede ine how p ojec s a e coo dina ed
and deli e ed in he buil en i onmen .
2.5 Challenges and Limi a ions
While he in eg a ion o Augmen ed Reali y (AR) and
Building In o ma ion Modeling (BIM) o e s subs an ial
bene i s o cons uc ion coo dina ion, i s widesp ead
implemen a ion is no wi hou challenges. Bo h echnologies
a e s ill ma u ing, and hei deploymen in eal-wo ld
cons uc ion en i onmen s highligh s se e al echnical, da a-
ela ed, human, and economic limi a ions (Wang e al., 2020;
Om any e al., 2023). Unde s anding hese challenges is
essen ial o s akeholde s seeking o e alua e easibili y,
manage isks, and maximize he long- e m alue o AR-BIM
sys ems.
One o he o emos echnical challenges ela es o ha dwa e
capabili ies. AR de ices such as sma glasses, AR-enabled
helme s, and able s emain limi ed in e ms o ba e y li e,
p ocessing powe , and ield o iew. Fo ins ance, head-
moun ed displays like Mic oso HoloLens o e imme si e
expe iences bu a e o en bulky and may become
uncom o able du ing ex ended use on cons uc ion si es.
Simila ly, handheld de ices p o ide lexibili y bu equi e
cons an manual handling, educing p oduc i i y o asks
ha demand hands- ee ope a ion.
T acking accu acy also poses a c i ical limi a ion. AR-BIM
sys ems ely on p ecise alignmen o i ual models wi h he
physical en i onmen . Any acking e o —whe he om
GPS inaccu acy, poo beacon calib a ion, o compu e ision
limi a ions—can cause misalignmen , unde mining us in
he echnology. On cons uc ion si es whe e p ecision down
o millime e s is equi ed, e en small de ia ions can
comp omise ins alla ion accu acy. Fu he mo e, compu e
ision-based acking is highly sensi i e o en i onmen al
condi ions such as ligh ing, su ace ex u e, and occlusion.
Poo ly li o clu e ed en i onmen s can cause AR o e lays o
d i o lose calib a ion, educing eliabili y du ing ield
ope a ions.
BIM models a e inhe en ly complex, con aining de ailed
in o ma ion abou geome y, ma e ials, scheduling, and cos .
While his ichness is ad an ageous o planning, i p esen s
challenges when ans e ing da a in o AR pla o ms. AR
de ices o en lack he capaci y o ende la ge, high-
esolu ion models in eal ime, leading o pe o mance issues
such as lagging, c ashing, o incomple e isualiza ion. To
mi iga e his, models mus be simpli ied, segmen ed, o
il e ed o e ain only he mos ele an de ails o on-si e use.
Howe e , his p ocess isks losing c i ical in o ma ion i no
managed ca e ully.
File size and da a ans e speed u he complica e
in eg a ion. La ge BIM models demand high bandwid h and
powe ul p ocessing, especially when synch onized wi h
cloud-based pla o ms o eal- ime upda es. In egions wi h
limi ed in e ne in as uc u e, main aining consis en
connec i i y may be di icul , hinde ing collabo a i e
wo k lows. In e ope abili y issues compound hese
challenges. Al hough s anda ds such as Indus y Founda ion
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Classes (IFC) and Cons uc ion Ope a ions Building
In o ma ion Exchange (COBie) exis , no all AR pla o ms
ully suppo hem. P op ie a y so wa e ecosys ems can
c ea e da a silos, es ic ing seamless exchange and limi ing
collabo a ion ac oss eams using di e en pla o ms.
Human ac o s also in luence he adop ion and e ec i eness
o AR-BIM in eg a ion. Cons uc ion wo ke s and manage s
a e accus omed o adi ional me hods such as 2D d awings,
pape schedules, and manual inspec ions. T ansi ioning o
AR-enhanced wo k lows equi es signi ican aining and a
cul u al shi owa d digi al ools. Fo many wo ke s,
pa icula ly hose wi h limi ed exposu e o ad anced
echnologies, he lea ning cu e can be s eep.
Adap a ion challenges a e u he ampli ied by e gonomics.
Wea ing AR glasses o helme s o p olonged pe iods may
cause discom o , eye s ain, o a igue. Handheld de ices,
while easie o use, can in e e e wi h manual asks by
occupying wo ke s’ hands. Ensu ing e gonomic design and
usabili y is c i ical o main aining wo ke accep ance and
p oduc i i y. In addi ion, esis ance o change among
expe ienced wo ke s may slow adop ion, highligh ing he
need o s uc u ed aining p og ams and g adual in eg a ion
s a egies (Kahn e al., 2021; Xue e al., 2024).
The inancial cos o implemen ing AR-BIM in eg a ion
emains a signi ican ba ie , pa icula ly o small- and
medium-sized cons uc ion i ms. High-quali y AR de ices,
such as HoloLens o T imble XR10 helme s, equi e
subs an ial up on in es men . Beyond ha dwa e, so wa e
licenses, model op imiza ion ools, and cloud-based
collabo a ion pla o ms add o he o al cos o owne ship.
Mo eo e , implemen a ion cos s ex end beyond equipmen
pu chases. Fi ms mus in es in aining wo ke s, adap ing
wo k lows, and de eloping cus om applica ions o align AR-
BIM sys ems wi h p ojec equi emen s. Ongoing
main enance, so wa e upda es, and po en ial de ice
eplacemen u he inc ease long- e m expenses. While
la ge i ms may abso b hese cos s due o he scale o hei
p ojec s, smalle o ganiza ions o en s uggle o jus i y he
e u n on in es men , pa icula ly in ma ke s whe e ma gins
a e hin and p ojec budge s a e cons ained.
Despi e i s p omise, AR-BIM in eg a ion aces mul iple
challenges ha mus be add essed be o e i can achie e
widesp ead adop ion in cons uc ion. Technical limi a ions
such as ha dwa e cons ain s, acking e o s, and sensi i i y
o en i onmen al condi ions educe eliabili y in he ield.
Da a challenges, including model complexi y, la ge ile sizes,
and in e ope abili y issues, hinde seamless use o BIM
in o ma ion in AR en i onmen s. Human ac o s— anging
om he need o ex ensi e aining o e gonomic conce ns
and esis ance o change— u he complica e adop ion.
Finally, high cos s associa ed wi h ha dwa e, so wa e, and
implemen a ion p esen economic ba ie s, especially o
smalle i ms.
O e coming hese limi a ions equi es con inuous ad ances
in AR ha dwa e, imp o ed algo i hms o acking and
ende ing, s onge in e ope abili y s anda ds, and he
de elopmen o cos -e ec i e deploymen s a egies. Wi h
ongoing echnological p og ess and inc easing indus y
demand o digi al ools, many o hese challenges a e
expec ed o diminish o e ime. Ne e heless, acknowledging
and add essing hese limi a ions oday is c i ical o
unlocking he ull po en ial o AR-BIM in eg a ion in
omo ow’s cons uc ion wo k lows.
2.6 Fu u e Di ec ions
The con e gence o Augmen ed Reali y (AR) and Building
In o ma ion Modeling (BIM) has al eady demons a ed
ans o ma i e po en ial o cons uc ion coo dina ion, bu
he ajec o y o echnological inno a ion sugges s e en mo e
p o ound changes in he yea s ahead. As he cons uc ion
indus y ad ances owa d digi al ma u i y, he in eg a ion o
AR-BIM sys ems wi h a i icial in elligence (AI), In e ne o
Things (IoT) senso s, and digi al wins will signi ican ly
eshape how p ojec s a e designed, execu ed, and managed
(Monla e al., 2023; Naji e al., 2024). Pa allel imp o emen s
in wea able AR de ices p omise o make hese sys ems mo e
p ac ical and in ui i e o daily use on cons uc ion si es.
Collec i ely, hese de elopmen s indica e a shi om
isola ed AR applica ions owa d ully in eg a ed, in elligen ,
and adap i e cons uc ion ecosys ems.
One o he mos p omising di ec ions o AR-BIM in eg a ion
lies in coupling hese echnologies wi h a i icial in elligence.
Cu en AR-BIM applica ions a e la gely desc ip i e,
allowing use s o isualize p ojec da a in con ex . Howe e ,
he addi ion o AI in oduces p edic i e and p esc ip i e
capabili ies. Fo ins ance, AI algo i hms ained on his o ical
cons uc ion da a can iden i y pa e ns in scheduling delays,
sa e y isks, o cos o e uns. When combined wi h AR, hese
insigh s can be p ojec ed di ec ly on o he cons uc ion si e,
p o iding wo ke s and manage s wi h eal- ime, da a-d i en
ecommenda ions.
AI can also enhance quali y con ol by de ec ing
disc epancies be ween as-buil condi ions and BIM models
h ough compu e ision. Wo ke s equipped wi h AR glasses
could ecei e ale s highligh ing de ia ions in s uc u al
placemen , alignmen e o s, o po en ial clashes be o e hey
escala e in o cos ly p oblems. Fu he mo e, AI-d i en
p edic i e analy ics can suppo p oac i e main enance by
o ecas ing equipmen ailu es o ma e ial deg ada ion,
ensu ing long- e m sus ainabili y o cons uc ed asse s.
The in eg a ion o AR and IoT o e s ano he compelling
a enue o ad ancing cons uc ion coo dina ion. IoT-enabled
senso s embedded h oughou cons uc ion si es can
con inuously moni o pa ame e s such as empe a u e,
humidi y, ib a ion, o equipmen pe o mance. When
connec ed o BIM da abases, hese eal- ime s eams o
in o ma ion can be isualized h ough AR in e aces,
p o iding wo ke s wi h immedia e access o c i ical da a.
