Оглавление
Hugh Seaton. The Construction Technology Handbook
Table of Contents
Guide
Pages
The Construction Technology Handbook
Foreword
Preface
Acknowledgments
CHAPTER 1 Introduction
What Technology Is
Understanding a Technology's Basis
Technology Domains
Domains Versus Products
What's Different about Digital Technology
Your Community
Mindset Matters
Intuitive Problems
Digital Problems
How the Lean Mindset Changed Manufacturing
Construction's New Era
The Change Is Coming
Change Driver #1: Demographics
Change Driver #2: Climate Change
Change Driver #3: Demands of Owners
Change Driver #4: 2020 Pandemic Response
Technology Supply
Use of technology is a technology
The Rest of this Book
Note
CHAPTER 2 Software
First Principles: What Is Software
Software Is a Machine
How We Make Software
Agile Development
Software Anatomy
Users
User Interfaces (UI)
User Interface Design
Types of User Interface
User Experience (UX)
Piloting Software
Applications
SaaS Revolution
Downloaded Applications
Security
Operating Systems
Computer Operating Systems
Mobile Operating Systems
Open Source
The Stack
Transistors and logic
The Software Developer's Stack
CHAPTER 3 Software Networks. Types of Networks
The Internet
Wi‐Fi
Bluetooth
Cellular
Satellite Networks
Application Programming Interfaces (APIs)
Networks of Technology
Data
Why Data?
How Data Gets Used
Gut‐checking Data
Data Is About Doing, or Analyzing, a Job
Analysis: Data + Judgment
Data Standards
Software as a System
CHAPTER 4 Construction Software
Beginnings
The Problems with Field Software
Overview of Field Software
Construction Management (CM) Software
CM Software's Job #1: Reduce Uncertainty
Good Information
Good Analysis
Good Presentation
CM Software as Platform
CM Software's #2 Job: Improve Productivity
CM Software Job #3: Process Improvement
CM Software Job #4: Single Source of Truth, Anywhere
Field Software Beyond CM
Does it Work for All of Your Users?
Does it Work with Your CM Software?
Do You Have the Team to Manage It?
Specialty Trades Versus General Contractors' Use of Field Software
BIM
CHAPTER 5 Industrialized Construction
Types of Industrialized Construction
DFMA
Design for Manufacturing
Design for Assembly
Other Considerations of DFMA
IC Tools and Processes
IC Software
CHAPTER 6 Machine Learning and Artificial Intelligence
What Is Machine Learning and Artificial Intelligence?
Why AI?
AI's Weak Spots
Edge Cases
Biases
How Machine Learning Works
Supervised Learning
Unsupervised Learning
An Aside on AI Models
Reinforcement Learning
Deep Learning
Deep Learning Defined
Imagenet and the Birth of Modern AI
Big Data
Computing Power
Algorithms
Training AI
Note
CHAPTER 7 Applying Artificial Intelligence
Level of Accuracy
Capturing the Edges
Lessons About AI Accuracy
Augmenting Human Work
A Practical Guide to Narrowness
Data Integrity: The Flip Side of Narrow
Data Collection
Transfer Learning: Easy AI
Applications of AI
Building Your Own AI
Building Around an API
Buying Your AI
Dealing with Startups
AI Accuracy
AI in Your Future
CHAPTER 8 Future Tools
Virtual Reality (VR)
Why VR
Presence Versus Immersion
First Person
Flexible Physics
Analytics
Augmented Reality (AR)
Phase 1: Marker‐based AR
Phase 2: Computer vision/SLAM
Phase 3: Headsets
Phase 4: LiDAR
Phase 5: AR Cloud
Phase 6: AR Glasses
3D Scanning
Enterprise‐led Technologies
Knitting Together a New Picture
IoT and BIM
Digital Twins
Technology Going Forward
CHAPTER 9 Innovation and Technology Adoption
Product Innovation
Vendor Innovation
Lists and Blogs
Union Events
Events and Blogs
User‐led Innovation
Internal Innovation
Innovation as Culture Change
Demographic Changes
Crisis‐driven Change
Process Innovation
Innovation Versus Creativity
Lateral Thinking
First Principles Thinking
Design Thinking
Innovation as Corporate Practice
Innovation Teams
CHAPTER 10 The Digital Construction Mindset
Adopting the Digital Construction Mindset
Intuitive, Human Skills Arena
Learning Technology
Digital Skills
Bibliography
Books
Websites
Courses
About the Author
Index
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