The document discusses future technologies for the Korean construction industry, including smart construction, digital transformation, automation, and facility management technologies enabled by BIM, IoT, AI, and other technologies. It outlines issues facing the construction industry and proposes strategies and a roadmap to address these issues through increased digitalization, development of core technologies like AICBM, support for startups, establishing standards and platforms, and developing policies to support an ecosystem for construction technology.
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한국 건설 기술 전망과 건설 테크 스타트업 소개
1. 한국 건설산업의 미래기술 고찰
Future Technology of
Korean Construction Industry
2020.1.14
강태욱 연구위원
공학박사
Ph.D Kang tae-wook
laputa99999@gmail.com
sites.google.com/site/bimprinciple
7. Construction Industry Issues
Orderindustry
Non-
reusable
LaborDivision
Silo
Env-Dep
Field control
difficulty
Orderindustry
BIM
Prefabrication
Modularization.
LaborDivision
Deregulation
Integrated
Delivery
Lean Process
Env-Dep
AICBM
IoT-Field connect
Big data. AI
Smart construction
Techniques and methods for
effectively implementing AEC services
through smart construction
KICT
10. Cyber-Physical Systems for AEC
AEC-CPS
CPS
Structural
health
monitoring
Track and
trace
Remote
diagnosis
Remote
services
Remote
control
Condition
monitoring
Systems
health
monitoring
BIM
as i-DB
Smart City & Infra
AI
Sensor device
ICBM
Digital
TwinRobotics
Scan-Vision
Smart contract
based on Blockchain
IoT…
11. Smart construction roadmap
Design Construction Maintenance
2D
design
Silo
3D design
Integration
Field
depende
ncy
Modular
Manufacturing
Automation
Field control
Disconne
cted
data
Field
oriented
Information
feedback
Remote
control
LiDAR, Image
based field
data sensing
Big data
based FM
VDC based
simulation
BIM based
design
Field
monitoring
using Drone
IoT based
field safety
management
Equipment
automation &
robot based
construction
3D printing
based
construction
IoT based
Preventive
Maintenance
FM
monitoring
using Drone
AI based FM
Paradigm
shift
Tech
nology
ICBM
Open Infra Data with digitalization Ecosystem (policy, process)
Construction
equipment
automation
Facility
automation
Construction field
safety
Digital platform
12. Smart FM
SmartFMMaturityModel(S-MM)
Timeline
SF-MM 수작업 기반 FM 단독적으로 사용되는
FM 기술 및 시스템
SBF간 상호운용되는
FM시스템
최적관리지원 FM SBF기반 지능형 최
적관리지원 FM
Issue FM의사결정지연.재작
업.생산성/품질저하
FM핵심기술인 역설계,
BIM,IoT,Cloud확보필요
상호운용성 부재으로 인
한 통합적 서비스 부족
최적관리위한 ICBM
기술 부족
지능형관리를 위한
AI기술/인프라 부족
Barrier 시장:FM 시스템 필요성
인식하지 못함.작은 시
장 규모
기술:FM솔류션 부족
정책:FM지원정책부족
시장:국내시장의 해외 솔
류션 독점
기술:SBF핵심기술 부재
정책:역설계(Scan-to-
BIM),FM지침/제도 부재
시장:관련 상호운용성 표
준 부재
기술:국제표준이 아닌 국
내업체 자체기술적용
정책:해외 종속된 지침
시장:ICBM투자 및 전
문가 부족
기술:ICBM기술부족
정책:ICBM 오픈데이
터 정책부재
시장:AI기반 FM인식
및 사례 부족
기술:AI기술 부재
정책:지능형FM 지원
정책부재
Strategy &
Technolog
y
해외선진성공사례소개
FM솔류션 소개
FM관련 지침개발
효과적 FM 프로세스 내
재화를 위한 인식개선,
교육 및 훈련 필요
공간/속성 디지털 트랜스
포메이션 기술 개발.SBF
기반 기술 분석을 통한
Scan-to-BIM,FM 시스템,
Field FM 기반 기술 개발.
SBF 지침 개발
SBF 핵심 기술간 연계를
위한 인터페이스 표준화.
COBie,API 정의.ICBM 플
랫폼 활용 SBF 및 GeoBIM
연계
ICBM 기반 SBF 기술
고도화 및 최적관리
지원.최적관리를 위
한 FM및 데이터관리
지침 개발
AI기반 지능형 FM 사
례발굴 및 기술 개발.
Smart FM 지원 정책
및 지침 개발
L5
L4
L3
L2
L1
Manual FM
Silo FM
Connected
FM
Optimized
FM
Smart FM
1yr 2yr 2~3 yr 3yr 2yr
Scan-to-BIM
Digital Transformation
Field-to-IoT data
ICBM
platform
Standard based on
GeoBIM
Korea
(2.02)
Advanced
(3.15)
Level Manual Silo system Connected Optimization Smart
Issue Poor productivity,
decision making and
quality
No connection as a
closed system
No synergy using
big data
Lack of
predictability of
business service
Poor intelligent
platform and market
Barrier Market: No need to
recognize
Tech: Poor core tech
Policy: Poor support
Market: Overseas
Solutions Exclusive
Tech: Poor open data
& cloud system
Policy: Poor
guideline
Market: Poor FM
platform
Tech: No big data.
Local technology.
Poor ACIBM tech
Policy: Poor
standard
Market: Poor
business model
Tech: Corrupted
data,
Policy: Poor infra
data
interoperability
platform
Market: Poor
Sustainable smart
service
Tech: Poor data and
connection
complexity control
Policy: Poor flexibility
of public system
Strategy
& Tech
Efforts to improve
awareness of FM
Develop national FM
support system
Find best practice and
use case
Train & education
program
Use open data,
standard and cloud
system
National FM
guideline
development
Develop startup
support system
Develop AICBM
support and
international
standard as smart
construction tech
and FM
Support startup
Develop infra
open data
support system
and international
standard
Develop biz
ecosystem and
infra data center
Find and support
good smart FM biz
model
Develop & support
ecosystem for smart
FM
Develop smart FM
governance system
17. Digital Transformation
IoT
Big data
management
Machine Learning
ICBM
platform
Machine control
Field monitoring
IoT
sensor
Smart construction
for safety, accuracy, productivity
sensing
Data analysis
& prediction
GIS IoT based monitoring
Field control
Infra IoT
service
connection
Plant control system (SCADA)
Field monitoring system
LoRA, BLE,
WiFi…
Layer 8 | IISL
(Infra IoT Service Layer)Worker
Agency
<device_definition id=‘dd#1’>
<device id=‘T#1’name=‘temp’type=‘temperature’>
<maker name=‘CH korea’ email=‘laputa99999_9@gmail.com’ tel=‘82-0330-0802-1013’ location=‘…’/>
<specification>
<op_range name=‘voltage’ unit=‘V’type=‘real’value=‘3.3’/>
<op_range name=‘temperature’ unit=‘degree’ type=‘real’begin=‘-10.0’end=’60.0’/>
<op_range name=‘humidity’unit=‘%R.H’type=‘real’begin=‘0.0’end=’50.0’/>
<op_range name=‘GPS’unit=‘WGS84’type=‘vector2D’begin=‘(0,0)’ end=‘(127, 32)’/>
<op_range name=‘characteristic_curve’unit1=‘temperature’ unit2=‘voltage’ type=‘vector2D’>
(0,0), (1.2, 2.4), (3.5, 6.2), (4.1, 7.2)
</op_range>
<op_range name=‘period’unit=‘year’value=‘2’/>
</specification>
</device>
</device_definition>
Intelligent IoT sensor
•Self diagnose
•IISL protocol
•Security
•Availability
1
1
2
3
4
5
6
7
8
Plant sensing
18. Digital Twin Platform for Construction - KICT
monitor diagnose
Commu-
nication
big data
data
mining
feedback
Visuali-
zation
Standard & security
PQM system
Business Model
PQM IoT based
Device
Monitoring
DT-ConstructionMaturityModel(DT-CMM)
Communi-
cation
Physical process Digital Twin
PQM-Geo
spatial
Integration
PQM
Big data Processing
ML+DL
Scikit-
Learn
Tensor-
flow
PQM
Mobile Device
Application
Real-time
PQM Data
Sharing
PQM Data
Visualization
PQM
Integrated System
PQM
Standard
PQM
Manual
21. Connection with ICBM and AI
Packing
Wireless
Sensor
Gateway
IoT
Control
Big data
analysis
Protocol
IoT
connection
service
A BIM ANALYSIS OF HVAC AND RADIANT COOLING SOLUTIONS, ROBERT CUBICK, 2016
25. Startups
Smart construction business model matrix
Plan Design Construction Maintenance Operation
Intelligent
FM & safety
BIM
Scan
Smart geo-
information
Prefab
Modular
Construction
Automation
Simulation
& engineering
Field
Monitoring
& control
AI & ICBM
KOREA CONSTRUCTION
INDUSTRY & STARTUPS
Supply chain
optimization
26. Smart construction with BIM engineering – SAMSUNG C&T, BASIS
SOFT, BIM doctor
Facility
Building
Twin-cell box
tunnel
D-Wall
XR 18
Ramp
Facility
Building
Lornie
Viaduct
Escape
Staircase
Tunnel Section
CCL
Tunnel
DTSS
36. Smart contract with Block chain - LELI
FACILITY
ASSET
IoT
Critical
Transaction &
Data History
Reliable data
& monitoring
Ensure transparency and reliability with Block-chain
Smart city service
40. BIM-GIS international standard for smart city – Ph.D Kang Tae-wook / KI
CT / ISO
f(x)
bxayxf :)(
SELECT * FROM Alignment, Building WHERE
Buffer(Alignment, Building, ‘1km’) AND
Building.Pset(‘FM’).PCI < ‘50%’
ORDERBY Building.Pset(‘FM’).PCI
BIMGIS
SELECT * FROM Building, Pipe WHERE Overlap(Pipe,
Building, ‘1m’) AND Building.Pset(‘FM’).Owner = ‘LH’…
Fig. IFC (http://www.iai-tech.org/)
IfcProject – Activity to make product
IfcProcess – Process and activity in project
IfcResource – Used resource object definition in process
IfcActor – Human resource definition in process
IfcProduct – Physical representation object
IfcControl – Control object
IfcGroup – Object set
Kernel
3개기본 확장 패키지
5개AEC/FM공통 패키지
AEC/FM도메인별9개의패키지
26개의 리소스패키지
IFC2x3
Building
Oriented
Format
IFC4
GIS CRS
NURBS
…
but
Heavy
Complex
Ambiguous
•Developed by OGC
•Open 3D urban object model for interoperability(ISO TC211)
•Shape, material, feature information support
•Focusing city Infrastructure object model
•Model abstraction support(LOD)Version 2.0
CityGML
GIS Oriented
Format
LOD
Features
But
Detailed
Building
Information?
Parameter set
Civil engineering
object
Detailed object
information
related to civil
engineering
ex- superelevation
LandXML
Civil
Engineering
Oriented
Format
But
Detailed
Building
Information?
GIS Topology
Element?
GIS BIM
Data
set
Data set
Link
User
KPI
PD
Data
mining
cube
Example for smart city service
based on 3D spatial information
41. BIM-GIS international standard for smart city – Ph.D Kang Tae-wook / KI
CT / ISO
ISO 19166 B2GM for GeoBIM mapping
BIM
W1
D2
F3
R4
GIS
W1
= {LOD1, LOD2, LOD3, LOD4}
D2
= {LOD1, LOD2, LOD3, LOD4}
F3
= {LOD1, LOD2, LOD3, LOD4}
R4
= {LOD1, LOD2, LOD3, LOD4}
B2G LM
B2G EM
Data set
• In example, W1 = Wall#1, D2 = Door#2, F3 = Floor#3, R4 = Roof#4.
• External Data Set – External data set related to the specific use-cases such as the facility
management
E1
E2
E3
E4
B2G PDElement Mapping
LOD Mapping
Property Mapping
from External Data
Set using PD
Data
= {Maker,
Code, Serial
No, Date,
Manual Links,
Drawing
Links,
Historical
Record…}
Object =
Geometry + Data
1
2
3
42. Infra BIM standard – Ph.D Moon Hyun-suk / KICT / international building smart
46. Environment for construction
Construction Industry Innovation Plan
Technology Innovation Production structure innovation
Smart Tech
High value market
Global construction support
Direct contract and construction
Multi-level subcontracting issue
improvement
Reorganization
Eco-system innovation Workplace innovation
Poor business exit
Improving unfair practices
Poor construction prevention
Youth Employment support
Construction tech startup
Training professional personnel
Reform regulation
(Advanced Contract
System and unnessary
regulations remove)
Energize the Construction Industry ‘19.8
Reform process Create new
additional values
Smart construction
R&D (200 billion
KRW)
National projects
Construction tech
fund
National Balanced
Development
Project (24 trillion
KRW)
48. 1. Shafiee, Mohammad Javad, Brendan Chywl, Francis Li, and Alexander Wong. "Fast YOLO: A Fast You Only Look Once
System for Real-time Embedded Object Detection in Video." arXiv preprint arXiv:1709.05943 (2017).
2. Alan Safe, 2016.2.12, How the Internet of Things is Impacting the Construction Industry, For Construction Pros.com
3. Rachel Burger, 2015.7.28, Three Ways the Internet of Things Can Benefit Your Construction Project, Construction
Management
4. Jacqi Levy, 2016.4.28, 4 BIG ways the IoT is impacting design and construction, Internet of Things blog, IBM
5. whitelight group, 2014.8.18, How the Internet of Things is transforming the construction industry
6. Rachel Burger, 2016.8.5, How "The Internet of Things" is Affecting the Construction Industry, the balance.com
7. AIG, Human Condition Safety: Using Sensors to Improve Worker Safety
8. Niina Gromov, 2015.11.23, Offering Value through Internet of Things Case: Construction Companies in Finland, School of
Science, Aalto University
9. Wipro Digital, 2016.4.1, CASE STUDY: INCREASING CUSTOMER VALUE THROUGH IOT FOR JCB INDIA
10. Monitor Deloitte, 2015.7, Every. Thing. Connected.
11. Laura Black, 2015.8.12, An Inside Look at Autodesk’s Project Aquila, ConstructionTech
12. Jeff Walsh, 2015.10.1, Human Condition Aims to Transform Construction-Site Safety With Wearables, Line shape space.com
13. Insights, IoT Logistics Are Transforming the Trucking Industry
14. Chris Topham, 2015.9.10, Case Study: Northumbria Specialist Care Hospital Pushes KNX into the IoT, Abtec Building
Technologies
15. Mike Chino, 2015.11.6, Intel’s Smart Tiny House packs futuristic technology into 264 square feet, inhabitat
16. Wanda Lau, 2016.5.9, KieranTimberlake Offers a New Tool for Architects Wanting an In on IoT
17. CADDIGEST, 2016.7.7, IBM Watson IoT Platform to Add Intelligence to Buildings Worldwide
18. http://daddynkidsmakers.blogspot.com/
19. Oxford Robotics Institute, 2017, Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural
Networks, ICRA
20. 강태욱, 임지순 역, 2015.2, 스마트 홈 오토메이션, 씨아이알
21. 강태욱, 현소영 역, 2014.12, 스마트 빌딩 시스템, 씨아이알
Reference
KICT